WP25 v1.0: LLM laboratory complete (72 cells, local inference), final tables/figures, paper 71 pp.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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docs/model_specification.md
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@@ -77,7 +77,7 @@ $u_{Q,t}=(r_t+\delta_Q-g_Q)p^K_{Q,t}$ (approximately). Scenarios interpolate wit | |||||
| 77 | ### 1.5 Households (roles ii, iii) | 77 | ### 1.5 Households (roles ii, iii) | ||
| 78 | 78 | ||||
| 79 | Preferences $E_0\sum_t\beta^t[u(c_{it})-v(l_{it})-\kappa_i d_{it}]$, $u(c)=c^{1-\gamma}/(1-\gamma)$, | 79 | Preferences $E_0\sum_t\beta^t[u(c_{it})-v(l_{it})-\kappa_i d_{it}]$, $u(c)=c^{1-\gamma}/(1-\gamma)$, | ||
| 80 | −$v(l)=\chi l^{1+1/\nu}/(1+1/\nu)$; $\kappa_i\ge0$ is a delegation disutility (trust/agency loss) with c.d.f. $F_\kappa$; | 80 | +$v(l)=\chi l^{1+1/\nu_F}/(1+1/\nu_F)$; $\kappa_i\ge0$ is a delegation disutility (trust/agency loss) with c.d.f. $F_\kappa$; | ||
| 81 | $d_{it}\in\{0,1\}$ (autonomous delegation) chosen at the start of $t$ before signals. Time: $l_{it}+\tau_s d_{it}\le 1$. | 81 | $d_{it}\in\{0,1\}$ (autonomous delegation) chosen at the start of $t$ before signals. Time: $l_{it}+\tau_s d_{it}\le 1$. | ||
| 82 | Budget: | 82 | Budget: | ||
| 83 | $$c_{it}+a_{i,t+1}+\phi_t d_{it}=w_tl_{it}+R_ta_{it}+\omega_i\big(\Pi_{Q,t}-I_{Q,t}\big),\qquad R_t=1-\delta+R^K_t, \tag{A.5}$$ | 83 | $$c_{it}+a_{i,t+1}+\phi_t d_{it}=w_tl_{it}+R_ta_{it}+\omega_i\big(\Pi_{Q,t}-I_{Q,t}\big),\qquad R_t=1-\delta+R^K_t, \tag{A.5}$$ | ||
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docs/research_log.md
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@@ -74,3 +74,18 @@ Decisions, evidence and open tasks, in chronological order. Dates are absolute. | |||||
| 74 | signal LESS correlated (0.14–0.32) than the Bayesian control (0.98) — consistent with Hansen–Lee 2025; to be confirmed | 74 | signal LESS correlated (0.14–0.32) than the Bayesian control (0.98) — consistent with Hansen–Lee 2025; to be confirmed | ||
| 75 | when the run completes and written into results_c (the draft paragraph must be revised accordingly). | 75 | when the run completes and written into results_c (the draft paragraph must be revised accordingly). | ||
| 76 | * Paper: 69 pages compiled (pdflatex, aer.bst), 144 verified references, 104 generated macros + fallbacks. | 76 | * Paper: 69 pages compiled (pdflatex, aer.bst), 144 verified references, 104 generated macros + fallbacks. | ||
| 77 | +* LLM lab provenance note: a helper process (`--policies=llm_diverse --tag=helper`, 19:44–20:12) was started to pre-warm the | ||||
| 78 | + cache and then killed because it contended for the Qwen server; its audit records share the `lab_<model>` run ids (same files), | ||||
| 79 | + its csv outputs were deleted, and `results/llm_lab/cells.csv` comes only from the main run. Llama-3.2-3B's schema failures are | ||||
| 80 | + of one type: `"order_type": "hold"` (valid side, invalid order type) — counted as invalid (no lenient repair), reported as such. | ||||
| 81 | +* LLM lab findings (cells bayesian/surrogate/shared/diverse complete, 8 agents × 24 periods × 3 seeds): Qwen agents on one | ||||
| 82 | + shared signal → conditional order-flow corr. 0.20 vs 0.65 (Bayesian) and 1.00 (surrogate) — LLM "interpretation noise" | ||||
| 83 | + restores part of the LLN (Hansen–Lee 2025); but R² of returns on the common error 0.20 vs 0.02 (they trade the common | ||||
| 84 | + signal harder); volume 11 vs 4.4 trades/period (no no-trade); 50–75 % of actions clipped; LLM agents borrow (lev 0.03–0.09); | ||||
| 85 | + Llama-3.2-3B schema failures ("order_type": "hold"). The draft paragraph of results_c was rewritten accordingly; intro and | ||||
| 86 | + abstract updated. The 1-vs-3-model ordering within LLM cells is unresolved at 3 seeds. | ||||
| 87 | +* Lab complete 21:47 (72 cells; Qwen 8 180 calls / 3.3 M tokens, Mistral 1 296, Llama; zero cost). Prompt variation: 0.12 vs 0.20 | ||||
| 88 | + (single prompt) vs 0.16 (three models) — prompt and model diversity reduce correlation comparably at this scale. | ||||
| 89 | + | ||||
| 90 | +### Open TODO (end of day 1) | ||||
| 91 | +- [ ] SSRN deposit; referee items 2, 7, 9 of docs/referee_report.md; effective-M calibration; Krusell–Smith extension. | ||||
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paper/sections/abstract.tex
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@@ -16,5 +16,6 @@ by who owns the compute. In an agentic market laboratory with explicit balance s | |||||
| 16 | market designs and live open-weight language-model agents under hard deterministic constraints, order-flow | 16 | market designs and live open-weight language-model agents under hard deterministic constraints, order-flow | ||
| 17 | correlation rises with $D$ and falls with $M$ in every design; a shared model makes markets quieter and more | 17 | correlation rises with $D$ and falls with $M$ in every design; a shared model makes markets quieter and more | ||
| 18 | correlated at once; and a false shared signal is amplified by collateral in a call market (by a factor of 2.6 at a | 18 | correlated at once; and a false shared signal is amplified by collateral in a call market (by a factor of 2.6 at a | ||
| 19 | −20\% margin, halved at 50\%, eliminated by model diversity) but not in a continuous auction. Code, data provenance, | 19 | +20\% margin, halved at 50\%, eliminated by model diversity) but not in a continuous auction. Language-model agents herd less than Bayesian agents on the same shared signal but load prices on it more, and their | ||
| 20 | −prompts and audit logs are provided. | 20 | +proposed actions routinely violate the constraints that deterministic code enforces. Code, data provenance, prompts | ||
| 21 | +and audit logs are provided. | ||||
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paper/sections/introduction.tex
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@@ -68,9 +68,9 @@ the call market, a false shared signal that moves the price by 3.7\% when agents | |||||
| 68 | when they start at 95\% of their margin capacity with a 20\% margin, an amplification of 2.6; a 50\% margin halves | 68 | when they start at 95\% of their margin capacity with a 20\% margin, an amplification of 2.6; a 50\% margin halves | ||
| 69 | it; four models eliminate it. In the continuous auction the same shock produces a 10\% trough and almost no cascade, | 69 | it; four models eliminate it. In the continuous auction the same shock produces a 10\% trough and almost no cascade, | ||
| 70 | because sequential execution lets the price recover before the next margin check. Whether model noise is amplified | 70 | because sequential execution lets the price recover before the next margin check. Whether model noise is amplified | ||
| 71 | −by collateral depends on how execution turns correlated orders into a marked price. LLM agents reproduce the herding | 71 | +by collateral depends on how execution turns correlated orders into a marked price. Language-model agents given the same shared signal herd much less than Bayesian agents (their outputs add | ||
| 72 | −pattern of the control but trade more under a shared signal than a Bayesian agent would, and model identity matters | 72 | +idiosyncratic noise to a common signal), yet their trades load prices on the shared error more, they keep trading when | ||
| 73 | −more than prompt wording. | 73 | +signals are identical, and half to three-quarters of their proposed actions hit the cash, holdings or margin limits. | ||
| 74 | 74 | ||||
| 75 | \paragraph{Relation to the literature.} Common-noise fluctuations, the social value of public information and the | 75 | \paragraph{Relation to the literature.} Common-noise fluctuations, the social value of public information and the | ||
| 76 | efficiency of the use of information in neoclassical economies are classical | 76 | efficiency of the use of information in neoclassical economies are classical | ||
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paper/sections/results_c.tex
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@@ -91,21 +91,44 @@ the distinction between equilibrium prices and execution prices that the pre-reg | |||||
| 91 | \label{fig:L_lab} | 91 | \label{fig:L_lab} | ||
| 92 | \end{figure} | 92 | \end{figure} | ||
| 93 | 93 | ||||
| 94 | −Table~\ref{tab:llm} and Figure~\ref{fig:L_lab} report the live-inference cells (\numllmCalls\ calls, | 94 | +Table~\ref{tab:llm} and Figure~\ref{fig:L_lab} report the live-inference cells (eight agents, 24 periods, three seeds | ||
| 95 | −\numllmTokens\ tokens, zero marginal cost on local hardware, \numllmInvalid\ invalid actions in total). Three | 95 | +per cell; \numllmCalls\ calls, \numllmTokens\ tokens, zero marginal cost on local hardware). With eight agents the | ||
| 96 | −findings are robust across seeds and temperatures. First, the H2 pattern survives the change of policy family: with a | 96 | +Bayesian control itself gives a conditional order-flow correlation of \numllmbayeszero\ with private signals, | ||
| 97 | −shared signal the conditional order-flow correlation of Qwen2.5-7B agents is \numllmsharedoneone, against | 97 | +\numllmbayesoneone\ with one shared model and \numllmbayesonethree\ with three; the rule-based surrogate behind the LLM | ||
| 98 | −\numllmsharedzero\ with private signals, and three heterogeneous models with three signals give | 98 | +interface gives \numllmsurrzero, \numllmsurroneone\ and \numllmsurronethree, so the interface itself does not create or | ||
| 99 | −\numllmdiverseonethree; the Bayesian control gives \numllmbayesoneone\ and \numllmbayeszero. Second, LLM agents trade | 99 | +destroy correlation. Four findings follow, all read against these controls. | ||
| 100 | −more than the Bayesian control under a shared signal (\numllmsharedoneonetrades\ versus \numllmbayesoneonetrades\ | 100 | + | ||
| 101 | −trades per period): they do not fully recognise that an identical signal leaves no gains from trade, so the no-trade | 101 | +First, \emph{language-model agents herd much less than Bayesian agents given the same shared signal}. Qwen2.5-7B | ||
| 102 | −outcome of the control is replaced by churning at slightly dispersed limit prices. Third, model identity matters more | 102 | +agents acting on one common signal reach a correlation of \numllmsharedoneone\ (s.d.\ across seeds | ||
| 103 | −than prompt wording: five prompt variants on one model move the correlation less than switching models does, and | 103 | +\numllmsharedoneonesd), against \numllmbayesoneone\ for the control and \numllmsurroneone\ for the surrogate; with | ||
| 104 | −Mistral-7B and Llama-3.2-3B differ from Qwen both in validity rates (Mistral rejects a system role and returns | 104 | +private signals they are indistinguishable from the control (\numllmsharedzero\ versus \numllmbayeszero). Three | ||
| 105 | −more schema-invalid actions; Llama holds more often) and in order aggressiveness. None of this is evidence about human | 105 | +heterogeneous models are lower still (\numllmdiverseoneone\ with one signal, \numllmdiverseonethree\ with three). The | ||
| 106 | −behaviour; it shows that the architecture---one model or several, hard constraints, structured observations---shapes | 106 | +model adds idiosyncratic ``interpretation noise'' to a common signal---different quantities, limit prices and | ||
| 107 | −the correlation structure of an agentic market in the direction the theory predicts, and that the \emph{effective} | 107 | +rationales for the same observation---and that noise restores part of the law of large numbers that the shared signal | ||
| 108 | −number of models is the relevant policy variable. | 108 | +removed. This is the laboratory counterpart of the finding of \citet{hansen2025financial} that LLM agents herd less | ||
| 109 | +than one might expect, and it is a reminder that the effective number of independent error sources is not the number | ||||
| 110 | +of models but the number of models \emph{times} the dispersion of their outputs. The ordering between one and three | ||||
| 111 | +models within the LLM cells is not resolved at three seeds (\numllmsharedonethree\ with three models on one LLM; | ||||
| 112 | +temperature 0.7 gives \numllmsharedoneonehot). | ||||
| 113 | + | ||||
| 114 | +Second, \emph{the correlation that survives is the one that moves prices}. The share of return variance explained | ||||
| 115 | +by the delegators' common error is \numllmsharedoneonertwo\ for Qwen agents on a shared signal, against | ||||
| 116 | +\numllmbayesoneonertwo\ for the control: LLM agents trade the common signal more aggressively, through market orders | ||||
| 117 | +and limit prices far from the current price, so a weaker correlation of flows produces a stronger loading of prices on | ||||
| 118 | +model noise. Third, \emph{they do not stop trading when signals are identical}: \numllmsharedoneonetrades\ trades per | ||||
| 119 | +period under one shared model against \numllmbayesoneonetrades\ for the control, whose volume collapses toward the | ||||
| 120 | +no-trade outcome. Fourth, \emph{the constraints bind}: \numllmsharedoneoneclipped\% of Qwen actions and | ||||
| 121 | +\numllmdiverseoneoneclipped\% of diverse-model actions were clipped by cash, holdings or margin limits, LLM agents | ||||
| 122 | +borrow when the control does not (leverage \numllmsharedoneonelev\ versus zero), and schema-invalid actions are | ||||
| 123 | +concentrated in the smallest model (Llama-3.2-3B writes ``hold'' in the order-type field; \numllmdiverseoneoneinvalid\ | ||||
| 124 | +invalid actions per diverse run against \numllmsharedoneoneinvalid\ for Qwen). Mistral-7B rejects a system role and | ||||
| 125 | +is served with the mandate merged into the user turn. Five prompt variants on one model give | ||||
| 126 | +\numllmvariedoneone\ against \numllmsharedoneone\ with a single prompt and \numllmdiverseoneone\ with three models and one | ||||
| 127 | +prompt: at this scale prompt diversity and model diversity reduce the correlation by similar amounts, so the | ||||
| 128 | +effective number of independent error sources is shaped by both. None | ||||
| 129 | +of this is evidence about human behaviour. It shows that the architecture---which model, how many, how constrained--- | ||||
| 130 | +shapes the correlation structure of an agentic market, that hard constraints are not optional, and that the policy | ||||
| 131 | +variable the theory points to, the effective number of independent error sources, must be measured in output space. | ||||
| 109 | 132 | ||||
| 110 | \begin{figure}[htbp] | 133 | \begin{figure}[htbp] | ||
| 111 | \centering | 134 | \centering | ||
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paper/tables/compute_cost.tex
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@@ -6,5 +6,5 @@ Model A (all figures) & $<1$ min & laptop, numpy/scipy\\ | |||||
| 6 | Model B (one equilibrium) & 4--30 s; 10 scenarios $\approx$ 5 min & numba kernels\\ | 6 | Model B (one equilibrium) & 4--30 s; 10 scenarios $\approx$ 5 min & numba kernels\\ | ||
| 7 | Model C factorial (20 seeds) & $\approx$ 10 min & pure python\\ | 7 | Model C factorial (20 seeds) & $\approx$ 10 min & pure python\\ | ||
| 8 | LLM lab (live) & $\approx$ 2--3 min per 8-agent $\times$ 24-period run & mlx\_lm.server, Apple M3 Ultra nodes\\ | 8 | LLM lab (live) & $\approx$ 2--3 min per 8-agent $\times$ 24-period run & mlx\_lm.server, Apple M3 Ultra nodes\\ | ||
| 9 | −\midrule Git revision & \texttt{uncommitted} & Python 3.14.4, macOS-27.0-arm64-arm-64bit-Mach-O\\ | 9 | +\midrule Git revision & \texttt{2c7f646} & Python 3.14.4, macOS-27.0-arm64-arm-64bit-Mach-O\\ | ||
| 10 | \bottomrule\end{tabular}\end{table} | 10 | \bottomrule\end{tabular}\end{table} | ||
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paper/tables/fallbacks.tex
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| 1 | −\providecommand{\numllmdiverseonethree}{\textbf{[n/a]}} | ||||
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paper/tables/llm_lab.tex
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@@ -5,9 +5,24 @@ Policy & $(D,M)$, temp. & corr.\ $|$ public & raw corr. & vol.\ (\%) & trades & | |||||
| 5 | Bayesian control & (0,1), 0.0 & 0.12 (0.07) & 0.35 & 0.17 & 6.9 & 0 & 81 & 0\\ | 5 | Bayesian control & (0,1), 0.0 & 0.12 (0.07) & 0.35 & 0.17 & 6.9 & 0 & 81 & 0\\ | ||
| 6 | Bayesian control & (1,1), 0.0 & 0.65 (0.08) & 0.73 & 0.15 & 4.4 & 0 & 71 & 0\\ | 6 | Bayesian control & (1,1), 0.0 & 0.65 (0.08) & 0.73 & 0.15 & 4.4 & 0 & 71 & 0\\ | ||
| 7 | Bayesian control & (1,3), 0.0 & 0.47 (0.05) & 0.53 & 0.18 & 6.0 & 0 & 64 & 0\\ | 7 | Bayesian control & (1,3), 0.0 & 0.47 (0.05) & 0.53 & 0.18 & 6.0 & 0 & 64 & 0\\ | ||
| 8 | +three LLMs (Qwen/Mistral/Llama) & (0,1), 0.0 & 0.07 (0.03) & 0.08 & 0.56 & 5.2 & 0 & 120 & 185\\ | ||||
| 9 | +three LLMs (Qwen/Mistral/Llama) & (0,1), 0.7 & 0.07 (0.09) & 0.09 & 0.99 & 5.6 & 0 & 149 & 202\\ | ||||
| 10 | +three LLMs (Qwen/Mistral/Llama) & (1,1), 0.0 & 0.16 (0.07) & 0.14 & 0.27 & 5.6 & 1 & 109 & 196\\ | ||||
| 11 | +three LLMs (Qwen/Mistral/Llama) & (1,1), 0.7 & 0.17 (0.08) & 0.18 & 0.25 & 6.1 & 2 & 118 & 170\\ | ||||
| 12 | +three LLMs (Qwen/Mistral/Llama) & (1,3), 0.0 & 0.08 (0.03) & 0.09 & 0.80 & 5.9 & 1 & 107 & 194\\ | ||||
| 13 | +three LLMs (Qwen/Mistral/Llama) & (1,3), 0.7 & 0.18 (0.05) & 0.16 & 1.25 & 5.8 & 2 & 141 & 135\\ | ||||
| 8 | one LLM (Qwen2.5-7B) & (0,1), 0.0 & 0.12 (0.02) & 0.20 & 0.32 & 10.9 & 0 & 90 & 147\\ | 14 | one LLM (Qwen2.5-7B) & (0,1), 0.0 & 0.12 (0.02) & 0.20 & 0.32 & 10.9 & 0 & 90 & 147\\ | ||
| 9 | one LLM (Qwen2.5-7B) & (0,1), 0.7 & 0.20 (0.09) & 0.29 & 0.35 & 10.7 & 0 & 85 & 147\\ | 15 | one LLM (Qwen2.5-7B) & (0,1), 0.7 & 0.20 (0.09) & 0.29 & 0.35 & 10.7 & 0 & 85 & 147\\ | ||
| 10 | −one LLM (Qwen2.5-7B) & (1,1), 0.0 & 0.23 (0.13) & 0.24 & 0.32 & 11.5 & 0 & 88 & 144\\ | 16 | +one LLM (Qwen2.5-7B) & (1,1), 0.0 & 0.20 (0.10) & 0.23 & 0.30 & 11.1 & 0 & 87 & 143\\ | ||
| 17 | +one LLM (Qwen2.5-7B) & (1,1), 0.7 & 0.18 (0.14) & 0.23 & 0.34 & 11.2 & 0 & 92 & 172\\ | ||||
| 18 | +one LLM (Qwen2.5-7B) & (1,3), 0.0 & 0.27 (0.15) & 0.30 & 0.40 & 10.2 & 0 & 98 & 203\\ | ||||
| 19 | +one LLM (Qwen2.5-7B) & (1,3), 0.7 & 0.16 (0.25) & 0.23 & 0.58 & 10.6 & 0 & 100 & 203\\ | ||||
| 20 | +one LLM, five prompt variants & (0,1), 0.0 & 0.09 (0.08) & 0.09 & 0.21 & 10.5 & 0 & 95 & 149\\ | ||||
| 21 | +one LLM, five prompt variants & (0,1), 0.7 & 0.10 (0.07) & 0.12 & 0.28 & 12.3 & 0 & 99 & 147\\ | ||||
| 22 | +one LLM, five prompt variants & (1,1), 0.0 & 0.12 (0.04) & 0.13 & 0.27 & 11.4 & 0 & 84 & 147\\ | ||||
| 23 | +one LLM, five prompt variants & (1,1), 0.7 & 0.26 (0.18) & 0.29 & 0.50 & 10.8 & 0 & 97 & 147\\ | ||||
| 24 | +one LLM, five prompt variants & (1,3), 0.0 & 0.15 (0.08) & 0.16 & 0.37 & 10.4 & 0 & 97 & 144\\ | ||||
| 25 | +one LLM, five prompt variants & (1,3), 0.7 & 0.10 (0.02) & 0.12 & 0.30 & 11.9 & 0 & 91 & 146\\ | ||||
| 11 | surrogate (rule, LLM interface) & (0,1), 0.0 & 0.09 (0.07) & 0.35 & 0.01 & 0.0 & 0 & 71 & 1\\ | 26 | surrogate (rule, LLM interface) & (0,1), 0.0 & 0.09 (0.07) & 0.35 & 0.01 & 0.0 & 0 & 71 & 1\\ | ||
| 12 | surrogate (rule, LLM interface) & (1,1), 0.0 & 1.00 (0.00) & 1.00 & 0.00 & 0.0 & 0 & 67 & 1\\ | 27 | surrogate (rule, LLM interface) & (1,1), 0.0 & 1.00 (0.00) & 1.00 & 0.00 & 0.0 & 0 & 67 & 1\\ | ||
| 13 | surrogate (rule, LLM interface) & (1,3), 0.0 & 0.69 (0.05) & 0.70 & 0.01 & 0.2 & 0 & 96 & 1\\ | 28 | surrogate (rule, LLM interface) & (1,3), 0.0 & 0.69 (0.05) & 0.70 & 0.01 & 0.2 & 0 & 96 & 1\\ | ||
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paper/tables/numbers.tex
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@@ -89,16 +89,113 @@ | |||||
| 89 | \newcommand{\numstressForcedWlevTwentyPersist}{3.6} | 89 | \newcommand{\numstressForcedWlevTwentyPersist}{3.6} | ||
| 90 | \newcommand{\numstressAmp}{2.6} | 90 | \newcommand{\numstressAmp}{2.6} | ||
| 91 | \newcommand{\numstressAmpFifty}{1.5} | 91 | \newcommand{\numstressAmpFifty}{1.5} | ||
| 92 | −\newcommand{\numllmCalls}{0} | 92 | +\newcommand{\numllmCalls}{12068} | ||
| 93 | −\newcommand{\numllmTokens}{0} | 93 | +\newcommand{\numllmTokens}{4,225,633} | ||
| 94 | −\newcommand{\numllmInvalid}{0} | 94 | +\newcommand{\numllmInvalid}{24} | ||
| 95 | \newcommand{\numllmsharedzero}{0.12} | 95 | \newcommand{\numllmsharedzero}{0.12} | ||
| 96 | \newcommand{\numllmsharedzerotrades}{10.9} | 96 | \newcommand{\numllmsharedzerotrades}{10.9} | ||
| 97 | −\newcommand{\numllmsharedoneone}{0.23} | 97 | +\newcommand{\numllmsharedzerosd}{0.02} | ||
| 98 | −\newcommand{\numllmsharedoneonetrades}{11.5} | 98 | +\newcommand{\numllmsharedzerortwo}{0.00} | ||
| 99 | +\newcommand{\numllmsharedzerolev}{0.03} | ||||
| 100 | +\newcommand{\numllmsharedzeroclipped}{47} | ||||
| 101 | +\newcommand{\numllmsharedzeroinvalid}{0.0} | ||||
| 102 | +\newcommand{\numllmsharedoneone}{0.20} | ||||
| 103 | +\newcommand{\numllmsharedoneonetrades}{11.1} | ||||
| 104 | +\newcommand{\numllmsharedoneonesd}{0.10} | ||||
| 105 | +\newcommand{\numllmsharedoneonertwo}{0.20} | ||||
| 106 | +\newcommand{\numllmsharedoneonelev}{0.03} | ||||
| 107 | +\newcommand{\numllmsharedoneoneclipped}{45} | ||||
| 108 | +\newcommand{\numllmsharedoneoneinvalid}{0.0} | ||||
| 109 | +\newcommand{\numllmsharedonethree}{0.27} | ||||
| 110 | +\newcommand{\numllmsharedonethreetrades}{10.2} | ||||
| 111 | +\newcommand{\numllmsharedonethreesd}{0.15} | ||||
| 112 | +\newcommand{\numllmsharedonethreertwo}{0.16} | ||||
| 113 | +\newcommand{\numllmsharedonethreelev}{0.05} | ||||
| 114 | +\newcommand{\numllmsharedonethreeclipped}{51} | ||||
| 115 | +\newcommand{\numllmsharedonethreeinvalid}{0.3} | ||||
| 116 | +\newcommand{\numllmdiversezero}{0.07} | ||||
| 117 | +\newcommand{\numllmdiversezerotrades}{5.2} | ||||
| 118 | +\newcommand{\numllmdiversezerosd}{0.03} | ||||
| 119 | +\newcommand{\numllmdiversezerortwo}{0.00} | ||||
| 120 | +\newcommand{\numllmdiversezerolev}{0.05} | ||||
| 121 | +\newcommand{\numllmdiversezeroclipped}{62} | ||||
| 122 | +\newcommand{\numllmdiversezeroinvalid}{0.3} | ||||
| 123 | +\newcommand{\numllmdiverseoneone}{0.16} | ||||
| 124 | +\newcommand{\numllmdiverseoneonetrades}{5.6} | ||||
| 125 | +\newcommand{\numllmdiverseoneonesd}{0.07} | ||||
| 126 | +\newcommand{\numllmdiverseoneonertwo}{0.03} | ||||
| 127 | +\newcommand{\numllmdiverseoneonelev}{0.02} | ||||
| 128 | +\newcommand{\numllmdiverseoneoneclipped}{57} | ||||
| 129 | +\newcommand{\numllmdiverseoneoneinvalid}{1.3} | ||||
| 130 | +\newcommand{\numllmdiverseonethree}{0.08} | ||||
| 131 | +\newcommand{\numllmdiverseonethreetrades}{5.9} | ||||
| 132 | +\newcommand{\numllmdiverseonethreesd}{0.03} | ||||
| 133 | +\newcommand{\numllmdiverseonethreertwo}{0.02} | ||||
| 134 | +\newcommand{\numllmdiverseonethreelev}{0.03} | ||||
| 135 | +\newcommand{\numllmdiverseonethreeclipped}{56} | ||||
| 136 | +\newcommand{\numllmdiverseonethreeinvalid}{1.3} | ||||
| 99 | \newcommand{\numllmbayeszero}{0.12} | 137 | \newcommand{\numllmbayeszero}{0.12} | ||
| 100 | \newcommand{\numllmbayeszerotrades}{6.9} | 138 | \newcommand{\numllmbayeszerotrades}{6.9} | ||
| 139 | +\newcommand{\numllmbayeszerosd}{0.07} | ||||
| 140 | +\newcommand{\numllmbayeszerortwo}{0.00} | ||||
| 141 | +\newcommand{\numllmbayeszerolev}{0.00} | ||||
| 142 | +\newcommand{\numllmbayeszeroclipped}{42} | ||||
| 143 | +\newcommand{\numllmbayeszeroinvalid}{0.0} | ||||
| 101 | \newcommand{\numllmbayesoneone}{0.65} | 144 | \newcommand{\numllmbayesoneone}{0.65} | ||
| 102 | \newcommand{\numllmbayesoneonetrades}{4.4} | 145 | \newcommand{\numllmbayesoneonetrades}{4.4} | ||
| 146 | +\newcommand{\numllmbayesoneonesd}{0.08} | ||||
| 147 | +\newcommand{\numllmbayesoneonertwo}{0.02} | ||||
| 148 | +\newcommand{\numllmbayesoneonelev}{0.00} | ||||
| 149 | +\newcommand{\numllmbayesoneoneclipped}{37} | ||||
| 150 | +\newcommand{\numllmbayesoneoneinvalid}{0.0} | ||||
| 103 | \newcommand{\numllmbayesonethree}{0.47} | 151 | \newcommand{\numllmbayesonethree}{0.47} | ||
| 104 | \newcommand{\numllmbayesonethreetrades}{6.0} | 152 | \newcommand{\numllmbayesonethreetrades}{6.0} | ||
| 153 | +\newcommand{\numllmbayesonethreesd}{0.05} | ||||
| 154 | +\newcommand{\numllmbayesonethreertwo}{0.03} | ||||
| 155 | +\newcommand{\numllmbayesonethreelev}{0.00} | ||||
| 156 | +\newcommand{\numllmbayesonethreeclipped}{34} | ||||
| 157 | +\newcommand{\numllmbayesonethreeinvalid}{0.0} | ||||
| 158 | +\newcommand{\numllmsurrzero}{0.09} | ||||
| 159 | +\newcommand{\numllmsurrzerotrades}{0.0} | ||||
| 160 | +\newcommand{\numllmsurrzerosd}{0.07} | ||||
| 161 | +\newcommand{\numllmsurrzerortwo}{0.00} | ||||
| 162 | +\newcommand{\numllmsurrzerolev}{0.00} | ||||
| 163 | +\newcommand{\numllmsurrzeroclipped}{37} | ||||
| 164 | +\newcommand{\numllmsurrzeroinvalid}{0.0} | ||||
| 165 | +\newcommand{\numllmsurroneone}{1.00} | ||||
| 166 | +\newcommand{\numllmsurroneonetrades}{0.0} | ||||
| 167 | +\newcommand{\numllmsurroneonesd}{0.00} | ||||
| 168 | +\newcommand{\numllmsurroneonertwo}{nan} | ||||
| 169 | +\newcommand{\numllmsurroneonelev}{0.00} | ||||
| 170 | +\newcommand{\numllmsurroneoneclipped}{35} | ||||
| 171 | +\newcommand{\numllmsurroneoneinvalid}{0.0} | ||||
| 172 | +\newcommand{\numllmsurronethree}{0.69} | ||||
| 173 | +\newcommand{\numllmsurronethreetrades}{0.2} | ||||
| 174 | +\newcommand{\numllmsurronethreesd}{0.05} | ||||
| 175 | +\newcommand{\numllmsurronethreertwo}{0.03} | ||||
| 176 | +\newcommand{\numllmsurronethreelev}{0.00} | ||||
| 177 | +\newcommand{\numllmsurronethreeclipped}{50} | ||||
| 178 | +\newcommand{\numllmsurronethreeinvalid}{0.0} | ||||
| 179 | +\newcommand{\numllmvariedzero}{0.09} | ||||
| 180 | +\newcommand{\numllmvariedzerotrades}{10.5} | ||||
| 181 | +\newcommand{\numllmvariedzerosd}{0.08} | ||||
| 182 | +\newcommand{\numllmvariedzerortwo}{0.00} | ||||
| 183 | +\newcommand{\numllmvariedzerolev}{0.02} | ||||
| 184 | +\newcommand{\numllmvariedzeroclipped}{49} | ||||
| 185 | +\newcommand{\numllmvariedzeroinvalid}{0.0} | ||||
| 186 | +\newcommand{\numllmvariedoneone}{0.12} | ||||
| 187 | +\newcommand{\numllmvariedoneonetrades}{11.4} | ||||
| 188 | +\newcommand{\numllmvariedoneonesd}{0.04} | ||||
| 189 | +\newcommand{\numllmvariedoneonertwo}{0.10} | ||||
| 190 | +\newcommand{\numllmvariedoneonelev}{0.02} | ||||
| 191 | +\newcommand{\numllmvariedoneoneclipped}{44} | ||||
| 192 | +\newcommand{\numllmvariedoneoneinvalid}{0.0} | ||||
| 193 | +\newcommand{\numllmvariedonethree}{0.15} | ||||
| 194 | +\newcommand{\numllmvariedonethreetrades}{10.4} | ||||
| 195 | +\newcommand{\numllmvariedonethreesd}{0.08} | ||||
| 196 | +\newcommand{\numllmvariedonethreertwo}{0.09} | ||||
| 197 | +\newcommand{\numllmvariedonethreelev}{0.03} | ||||
| 198 | +\newcommand{\numllmvariedonethreeclipped}{50} | ||||
| 199 | +\newcommand{\numllmvariedonethreeinvalid}{0.0} | ||||
| 200 | +\newcommand{\numllmsharedoneonehot}{0.18} | ||||
| 201 | +\newcommand{\numllmdiverseoneonehot}{0.17} | ||||
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| 4 | +{"ts": 1793144653.054144, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8f6305efd53f9be953cc1468ddb4702d2b95cdd553cd478ea79c69c8e1db363b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6496, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7848, \"margin\": 0.5, \"loan_capacity\": 2.3248, \"history\": [4.6458, 4.6496], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6529, \"target_holdings\": 0.9457}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding ratio exceeded, holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding ratio exceeded, holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 0.7047288417816162, "usage": {"prompt_tokens": 335, "completion_tokens": 62, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 5 | +{"ts": 1793144655.893273, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c7509f16f2164fe33392fb977cf0e162805ec84ec63e6f2fbcb751ceee75a402", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6547, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 5.8427, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8427, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6496, 4.6547], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6592, \"target_holdings\": 1.2682}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2471868991851807, "usage": {"prompt_tokens": 426, "completion_tokens": 56, "total_tokens": 482, "prompt_tokens_details": {"cached_tokens": 385}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 6 | +{"ts": 1793144657.771759, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "69cd9a4e7841edecd236128865cc3f742b218ac4bd7f9b34cf8d76cddc588261", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6547, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8601, \"margin\": 0.5, \"loan_capacity\": 2.3274, \"history\": [4.6458, 4.6496, 4.6547], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6458, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7233090400695801, "usage": {"prompt_tokens": 340, "completion_tokens": 64, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 7 | +{"ts": 1793144664.6104121, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0961bdaaf5acf2cc5b544ab66782e088dfe58829eb97d4e0f5efeb3d9927d46a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6516, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0434, \"cash\": 5.9011, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9011, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6496, 4.6547, 4.6516], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6364, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\"side\": \"hold\", \"quantity\": 0, \"order_type\": \"market\", \"limit_price\": 0, \"borrow\": 0, \"rationale\": \"Target holding is 0, no need to adjust\"}", "parsed": {"side": "hold", "quantity": 0, "order_type": "market", "limit_price": 0, "borrow": 0, "rationale": "Target holding is 0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.6386816501617432, "usage": {"prompt_tokens": 345, "completion_tokens": 49, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 8 | +{"ts": 1793144665.2489758, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7ef4f1fd123cf7d553314d787879e4397e1bfc2d1a2613a9a3254fb04a435d8f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6516, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 5.91, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.91, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6496, 4.6547, 4.6516], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6416, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\"side\": \"hold\", \"quantity\": 0, \"order_type\": \"limit\", \"limit_price\": 4.65, \"borrow\": 0, \"rationale\": \"Target holding is 0, no need to adjust\"}", "parsed": {"side": "hold", "quantity": 0, "order_type": "limit", "limit_price": 4.65, "borrow": 0, "rationale": "Target holding is 0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.6383688449859619, "usage": {"prompt_tokens": 343, "completion_tokens": 51, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 9 | +{"ts": 1793144672.5947142, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5be52576be11d0eff25c78deb66fb694e67812f119930af935c42339a1232f27", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6363, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0562, \"cash\": 5.9691, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9691, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6496, 4.6547, 4.6516, 4.6363], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6615, \"target_holdings\": 7.1809}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.7370700836181641, "usage": {"prompt_tokens": 352, "completion_tokens": 63, "total_tokens": 415, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 10 | +{"ts": 1793144675.646181, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2d7662f0f55e119ccffe314264e186c3b4860e0c8e36360899d54e96861e1ee6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6363, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 5.9602, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9602, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6496, 4.6547, 4.6516, 4.6363], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6651, \"target_holdings\": 8.221}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0955309867858887, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 11 | +{"ts": 1793144684.150966, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "764bf7d82e151948866ab4ae194588f8b1bbaefb905d086097a6a25354be8bca", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6174, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0559, \"cash\": 6.0288, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0288, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6496, 4.6547, 4.6516, 4.6363, 4.6174], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6608, \"target_holdings\": 12.372}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2999229431152344, "usage": {"prompt_tokens": 445, "completion_tokens": 57, "total_tokens": 502, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 12 | +{"ts": 1793144686.314239, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7b90185457405af00145838fcab115bd517d95bcebe734e637c41db1c5282704", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6174, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 6.0198, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0198, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6496, 4.6547, 4.6516, 4.6363, 4.6174], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6529, \"target_holdings\": 10.1226}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1748089790344238, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 13 | +{"ts": 1793144689.2303731, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f833f11a22c0e828dff6ac82e4d36564756615c90e18558ffbaa4b7ca8714abc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6462, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0454, \"cash\": 6.0891, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0891, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6547, 4.6516, 4.6363, 4.6174, 4.6462], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6402, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"No change in holdings to maintain moderate risk\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3533658981323242, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 14 | +{"ts": 1793144690.388062, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "975bdbd65745462c5c4d56b63f842d26bde2819aa7ff3b5093d40b90b15e369e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6462, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0476, \"cash\": 6.08, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.08, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6547, 4.6516, 4.6363, 4.6174, 4.6462], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6446, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"No change in holdings to maintain moderate risk\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1574809551239014, "usage": {"prompt_tokens": 440, "completion_tokens": 61, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 15 | +{"ts": 1793144698.679619, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9d27bfc763b681d397f9a1dfcc67f8604fde60f56d741c98f6de35fc9e93d4c6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6487, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0574, \"cash\": 6.1408, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1408, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6516, 4.6363, 4.6174, 4.6462, 4.6487], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6637, \"target_holdings\": 4.268}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2960209846496582, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 16 | +{"ts": 1793144702.3858528, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ae7cbe4739ff6605ddf58b60422fae71852961b2c32f764d5d642364de277843", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6487, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0542, \"cash\": 6.15, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.15, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6516, 4.6363, 4.6174, 4.6462, 4.6487], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6574, \"target_holdings\": 2.4807}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.169128179550171, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 17 | +{"ts": 1793144710.9969769, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ec859f3afe6e8ff6315506fa8fb6101146fcb1fbb624508cab254da832af484d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6434, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0531, \"cash\": 6.2022, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2022, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6363, 4.6174, 4.6462, 4.6487, 4.6434], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6554, \"target_holdings\": 3.4122}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2335751056671143, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 18 | +{"ts": 1793144712.2993631, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b9632a0a11b1035ba10ee7995210c1c79f7529406274a2fcd6122ff9a26610ed", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6434, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 6.2115, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2115, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6363, 4.6174, 4.6462, 4.6487, 4.6434], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.659, \"target_holdings\": 4.4373}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3021659851074219, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 19 | +{"ts": 1793144719.690809, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "742c4eb58f3ebb82892f5e06d7fa032e43789bdede80923ceba60b06d326b0e6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6447, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.047, \"cash\": 6.2736, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2736, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6174, 4.6462, 4.6487, 4.6434, 4.6447], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6433, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3429889678955078, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 20 | +{"ts": 1793144721.849141, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a6a847021fa5505b665dc1cd4410658c017667bbae212143878c0871b75dabe0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6447, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.2642, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2642, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6174, 4.6462, 4.6487, 4.6434, 4.6447], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6498, \"target_holdings\": 1.4716}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.157869815826416, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 21 | +{"ts": 1793144724.122258, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2185340066476c1aead45c6caaa2c80858fcec505d5da4ac306e6e6d3d3dbe10", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6501, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0486, \"cash\": 6.3268, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3268, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6462, 4.6487, 4.6434, 4.6447, 4.6501], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6465, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3360612392425537, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 22 | +{"ts": 1793144730.519792, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bdb93f0c6eb1d540593645752eeb8cb9e94e41a657a5d517909fa9158aafbbb3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6501, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0528, \"cash\": 6.3363, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3363, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6462, 4.6487, 4.6434, 4.6447, 4.6501], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6547, \"target_holdings\": 1.3133}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1475927829742432, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 23 | +{"ts": 1793144736.8190138, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b68b499617022612c36949bd35abb10c3ff2dcb34cc1e7f2c13f978ad82ccf89", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6643, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.3901, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3901, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6487, 4.6434, 4.6447, 4.6501, 4.6643], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6435, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2794690132141113, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 24 | +{"ts": 1793144738.033203, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e234462471cd23db77c4d4834089faed0cc48aeba88cb0aecc865d43e3420cd7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6643, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 6.3997, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3997, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6487, 4.6434, 4.6447, 4.6501, 4.6643], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6582, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2139780521392822, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 25 | +{"ts": 1793144741.325238, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b1e3ab31c633397658b31adbb5da889f6420df5164017e6a735d49af6fe0005a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6567, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.4637, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4637, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6434, 4.6447, 4.6501, 4.6643, 4.6567], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6491, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.424332857131958, "usage": {"prompt_tokens": 445, "completion_tokens": 63, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 26 | +{"ts": 1793144745.899565, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "16a22be50ff3f2e6b9aacb36b1406c546fa51bbdce8ce152d2ad4aaa4897643c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6567, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.454, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.454, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6434, 4.6447, 4.6501, 4.6643, 4.6567], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6435, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"No change in holdings to maintain moderate risk\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0817620754241943, "usage": {"prompt_tokens": 441, "completion_tokens": 61, "total_tokens": 502, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 27 | +{"ts": 1793144755.1210618, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a87bc3433d56f0250fc9cc9af45683cf46b35467ecca5677ba7d21d607894a99", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.646, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.5185, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5185, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6447, 4.6501, 4.6643, 4.6567, 4.646], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6435, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2547409534454346, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 28 | +{"ts": 1793144758.363431, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2129db0e2cc9e6d9810f2e020da93e4dfec8877acb1717f9ddfd7db11c5b98cd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.646, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.5283, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5283, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6447, 4.6501, 4.6643, 4.6567, 4.646], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6351, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2423391342163086, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 29 | +{"ts": 1793144762.863807, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6cdc34eef53085291039ae99f54e864583e2d8d83640c6114d6d068fd3a938aa", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.629, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0496, \"cash\": 6.5936, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5936, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6501, 4.6643, 4.6567, 4.646, 4.629], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6485, \"target_holdings\": 5.5684}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2337348461151123, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 30 | +{"ts": 1793144765.873405, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3e8d3cb01a3a391dd45c3b8b57c10322199f6de95eb72a947be2d91dcc268b97", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.629, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 6.5837, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5837, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6501, 4.6643, 4.6567, 4.646, 4.629], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6517, \"target_holdings\": 6.4812}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2252891063690186, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 31 | +{"ts": 1793144769.0203462, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a5ab6e81c4b2093952383d8b4eb48f8a892075fd06cbc40dc089947d17d84b77", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6202, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0579, \"cash\": 6.6595, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6595, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6643, 4.6567, 4.646, 4.629, 4.6202], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6648, \"target_holdings\": 12.7223}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1452569961547852, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 32 | +{"ts": 1793144774.4252212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "53bc41ff929590e38b9957c30fe41908b8aa6dc24e9535fe71a6d6ea363c4989", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6202, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0429, \"cash\": 6.6495, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6496, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6643, 4.6567, 4.646, 4.629, 4.6202], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6353, \"target_holdings\": 4.3029}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3071889877319336, "usage": {"prompt_tokens": 443, "completion_tokens": 56, "total_tokens": 499, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 33 | +{"ts": 1793144778.249463, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5f7fb1fea0d3c9fa27523bccc522b641260be5439dbabf3198bfe9c664f5c6c9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6232, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0582, \"cash\": 6.716, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7161, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6567, 4.646, 4.629, 4.6202, 4.6232], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6653, \"target_holdings\": 11.9875}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2298109531402588, "usage": {"prompt_tokens": 440, "completion_tokens": 54, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 34 | +{"ts": 1793144781.537973, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4ca0d81a2244c52b9d784b7ecd0a24ea3ef9a8530bfbbebd7f793c59319d2df5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6232, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 6.7261, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7261, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6567, 4.646, 4.629, 4.6202, 4.6232], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6516, \"target_holdings\": 8.0944}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2637858390808105, "usage": {"prompt_tokens": 443, "completion_tokens": 56, "total_tokens": 499, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 35 | +{"ts": 1793144789.9084501, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a3f380679ad48b2a41e090105613bb01b0a303c10013185ce7491eacd8dbe97c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6326, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.7934, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7934, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.646, 4.629, 4.6202, 4.6232, 4.6326], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.645, \"target_holdings\": 3.5568}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2414448261260986, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 36 | +{"ts": 1793144791.140694, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4a8dcd90043a072bae0ca91b95a4877d0152a5287751a0cee68ef73589bd112d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6326, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0407, \"cash\": 6.7832, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7832, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.646, 4.629, 4.6202, 4.6232, 4.6326], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6311, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2320430278778076, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 37 | +{"ts": 1793144800.380037, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "056674070a76d81fc4bee0ecd8e6e875b794da7cbed4479e48db6a8f4dc48a92", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6453, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.8613, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8613, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.629, 4.6202, 4.6232, 4.6326, 4.6453], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6499, \"target_holdings\": 1.3136}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to adjust holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.323603868484497, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 38 | +{"ts": 1793144802.7207968, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1e941495f257d6f61fb1ce160819f022773c32028a14627eb5123b891b39b54a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6453, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 6.851, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.851, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.629, 4.6202, 4.6232, 4.6326, 4.6453], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6323, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3644850254058838, "usage": {"prompt_tokens": 443, "completion_tokens": 64, "total_tokens": 507, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 39 | +{"ts": 1793144807.9407182, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f66fde7c03d01e095b5cbe5efc096c600dc413923bcfb8351da9461c91fc1d4d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6456, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0447, \"cash\": 6.9195, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9196, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6202, 4.6232, 4.6326, 4.6453, 4.6456], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6388, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2662370204925537, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 40 | +{"ts": 1793144811.271764, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4f140ebf8e97d40bd122e59a7a1317f1bffc59eee05d9c6bf9849ca703fd7f53", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6456, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.9299, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9299, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6202, 4.6232, 4.6326, 4.6453, 4.6456], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6431, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.242130994796753, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 41 | +{"ts": 1793144813.575212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "eee02b032cd5b6a38d300387e7568c494a1ce34fc7d4ff806fb22432ade73af2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6349, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.9887, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9887, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6232, 4.6326, 4.6453, 4.6456, 4.6349], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6491, \"target_holdings\": 4.0548}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2772059440612793, "usage": {"prompt_tokens": 446, "completion_tokens": 57, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 42 | +{"ts": 1793144817.8556092, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fa31ece2c18eba68166335594e6980e0e39a2d14b49bbee294d94cbfae83391e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6349, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 6.9992, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9992, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6232, 4.6326, 4.6453, 4.6456, 4.6349], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6321, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no need to take on debt\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2971410751342773, "usage": {"prompt_tokens": 445, "completion_tokens": 63, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 43 | +{"ts": 1793144822.973949, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0a83b9144ff8f14f16a2dc5921af4a34dc357d7d1039eff9802bb8347ba14815", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6323, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0453, \"cash\": 7.0586, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0586, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6326, 4.6453, 4.6456, 4.6349, 4.6323], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.64, \"target_holdings\": 2.2149}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, holding is optimal\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3350331783294678, "usage": {"prompt_tokens": 446, "completion_tokens": 58, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 44 | +{"ts": 1793144829.245023, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "98dd1f944267fb6173fc1607d2ff9aaada47a2c0b32c5fbb0ef71a7e7a119e81", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6323, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0518, \"cash\": 7.0692, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0692, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6326, 4.6453, 4.6456, 4.6349, 4.6323], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6529, \"target_holdings\": 5.8787}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.181643009185791, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 45 | +{"ts": 1793144833.5808709, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c81cf33890d2179c845ff65c68cb16843dc4b234a4a80a93c661f21d3e794dab", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6383, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0548, \"cash\": 7.1399, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1399, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6453, 4.6456, 4.6349, 4.6323, 4.6383], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6586, \"target_holdings\": 5.785}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2145519256591797, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 46 | +{"ts": 1793144835.7473102, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "877284cef2dc64e3360c015d1d94002a1a530cd415144a8523a6922c4e799b37", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6383, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0568, \"cash\": 7.1292, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1292, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6453, 4.6456, 4.6349, 4.6323, 4.6383], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6627, \"target_holdings\": 6.9346}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.212001085281372, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 47 | +{"ts": 1793144839.6196249, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e45c5e6a97bc540f41accc54f70c1a9988966d57fd3907de1bfd9c4d84c30649", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6574, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0525, \"cash\": 7.2113, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.2113, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6456, 4.6349, 4.6323, 4.6383, 4.6574], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6542, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2927169799804688, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 48 | +{"ts": 1793144840.894133, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e8a63f74cba1f56e03f7fa73bfefee8dd2db2542c0eeab956c37e21e3bbdeaf3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6574, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 7.2005, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.2005, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6456, 4.6349, 4.6323, 4.6383, 4.6574], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6512, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2742888927459717, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 49 | +{"ts": 1793144851.4248672, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fa1f0770534d0d72c47c14365b4f5d7ddb39fdd6bdc45d585791ab95ab8a8e5b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6513, \"target_holdings\": 1.5791}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6513,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6513, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.7102420330047607, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 50 | +{"ts": 1793144853.645629, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d0a9b85e9938b88ee95270baf70fc0b08c173b4448a60623a4e9ca6866f61c77", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0454, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6402, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6402,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6402, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.6559951305389404, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 51 | +{"ts": 1793144854.29218, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "58fd1df78cea99a0b7c244de6880cf34fc5f137d4ebda99c5d53dea985e6336f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6429, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0427, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7621, \"margin\": 0.5, \"loan_capacity\": 2.3214, \"history\": [4.6458, 4.6429], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.635, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding the current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding is 0, so holding the current price"}, "valid": true, "error": "", "cached": false, "latency": 0.6461520195007324, "usage": {"prompt_tokens": 333, "completion_tokens": 64, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 52 | +{"ts": 1793144854.932867, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5c08320c85ccd331acc7cb3dfe444ebc32b8284accecb838941c32e9ba4b0076", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6429, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7621, \"margin\": 0.5, \"loan_capacity\": 2.3214, \"history\": [4.6458, 4.6429], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6416, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6416,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6416, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.6404819488525391, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 53 | +{"ts": 1793144864.9403589, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "95d8bdbaae22f96ab3b3705ed0472ab3fdd7c06715288a9e508c4cdf6840af9b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6433, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8179, \"margin\": 0.5, \"loan_capacity\": 2.3217, \"history\": [4.6458, 4.6429, 4.6433], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6224, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7341530323028564, "usage": {"prompt_tokens": 340, "completion_tokens": 64, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 54 | +{"ts": 1793144866.5513558, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "51752d21ff5f9b6783882599c54f7c4ef9902e2a572379ccf39344bb85dff164", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6433, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8179, \"margin\": 0.5, \"loan_capacity\": 2.3217, \"history\": [4.6458, 4.6429, 4.6433], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6342, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7240691184997559, "usage": {"prompt_tokens": 340, "completion_tokens": 64, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 55 | +{"ts": 1793144870.912483, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f004ef2b4449153f40627e924b34e86bee9a6ab59d208c1fa4c68186efe6f369", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6304, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 5.8745, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8745, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6429, 4.6433, 4.6304], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6279, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\"side\": \"hold\", \"quantity\": 0, \"order_type\": \"market\", \"limit_price\": 0, \"borrow\": 0, \"rationale\": \"Target holding is 0, no need to adjust\"}", "parsed": {"side": "hold", "quantity": 0, "order_type": "market", "limit_price": 0, "borrow": 0, "rationale": "Target holding is 0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.6252479553222656, "usage": {"prompt_tokens": 345, "completion_tokens": 49, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 56 | +{"ts": 1793144873.170322, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da33973650c1c89499923781cbdce98529f9ddfe864edba67734d21bc6e94e2b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6304, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0367, \"cash\": 5.83, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.83, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6429, 4.6433, 4.6304], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6233, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\"side\": \"hold\", \"quantity\": 0, \"order_type\": \"market\", \"limit_price\": 0, \"borrow\": 0, \"rationale\": \"Target holding is 0, no need to adjust\"}", "parsed": {"side": "hold", "quantity": 0, "order_type": "market", "limit_price": 0, "borrow": 0, "rationale": "Target holding is 0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.6091501712799072, "usage": {"prompt_tokens": 343, "completion_tokens": 49, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 57 | +{"ts": 1793144879.24287, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "528600a30473770d7a894c723a20819f89591268602ac09f2b16219366162666", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6162, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0447, \"cash\": 5.8883, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8883, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6429, 4.6433, 4.6304, 4.6162], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6388, \"target_holdings\": 6.4327}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.6456031799316406, "usage": {"prompt_tokens": 352, "completion_tokens": 63, "total_tokens": 415, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 58 | +{"ts": 1793144880.735296, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5ebe9a7047fae4d2ee068fdec63ac03dbef5bf85860ba5188f1f6641308d3f76", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6162, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0604, \"cash\": 5.9333, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9333, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6429, 4.6433, 4.6304, 4.6162], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6697, \"target_holdings\": 15.2521}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.6444509029388428, "usage": {"prompt_tokens": 352, "completion_tokens": 64, "total_tokens": 416, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 59 | +{"ts": 1793144884.298388, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "68bd4870fd7d81e8fc3abe45465ae5b95cd2d3a1c6a9f7b1c30b77b699dd0ce9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6031, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0511, \"cash\": 5.9472, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9472, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6429, 4.6433, 4.6304, 4.6162, 4.6031], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6514, \"target_holdings\": 13.7683}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3692419528961182, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 60 | +{"ts": 1793144891.880169, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "572a79210c7c49bfffb600de6e688eb9858e0814000812eef48d35f5fcf1864a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6031, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0575, \"cash\": 5.9926, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9926, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6429, 4.6433, 4.6304, 4.6162, 4.6031], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.664, \"target_holdings\": 17.3652}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2925691604614258, "usage": {"prompt_tokens": 445, "completion_tokens": 57, "total_tokens": 502, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 61 | +{"ts": 1793144893.077256, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cbd4198b6acaf4a1bb572a594d57743b359331b342c46012cd3f33aa233ac669", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6122, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.0525, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0525, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6433, 4.6304, 4.6162, 4.6031, 4.6122], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6486, \"target_holdings\": 10.3781}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1966900825500488, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 62 | +{"ts": 1793144894.250883, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "142083b3f41eaa4bf8dc2c65a1a71dce8191c997f8dd303be6e3b0c5e46eb8a6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6122, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0529, \"cash\": 6.0066, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0066, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6433, 4.6304, 4.6162, 4.6031, 4.6122], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6549, \"target_holdings\": 12.1692}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1734001636505127, "usage": {"prompt_tokens": 446, "completion_tokens": 57, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 63 | +{"ts": 1793144903.293765, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8c8c387ec60bfba573aea11464712a7a7897312abdf931aa24e316cae51dfa6c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6149, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0544, \"cash\": 6.1131, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1131, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6304, 4.6162, 4.6031, 4.6122, 4.6149], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6579, \"target_holdings\": 12.2597}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1985678672790527, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 64 | +{"ts": 1793144905.4994812, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "406f93264fc3de7a291dcc2e078e9e0f2abca342c858863d9151c51b140550da", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6149, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.0667, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0667, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6304, 4.6162, 4.6031, 4.6122, 4.6149], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6544, \"target_holdings\": 11.2637}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2664189338684082, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 65 | +{"ts": 1793144912.351979, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "658c1d6d672a1a936f035272acf6286c9a2bef4acd3fe8e2a2201831198e3d7a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6216, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.1742, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1742, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6162, 4.6031, 4.6122, 4.6149, 4.6216], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6576, \"target_holdings\": 10.2778}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1691219806671143, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 66 | +{"ts": 1793144917.350223, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "64b33ff3bf5a5657761079c6a4344222689af874f30892a4cdc288809d3ac917", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6216, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 6.1274, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1274, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6162, 4.6031, 4.6122, 4.6149, 4.6216], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6481, \"target_holdings\": 7.5445}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3154737949371338, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 67 | +{"ts": 1793144922.138788, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "12ac740d8cb68e23c679bf1001b0880403d614bf4f5a5170bbb35ce1735525d8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6357, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 6.2359, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2359, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6031, 4.6122, 4.6149, 4.6216, 4.6357], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.659, \"target_holdings\": 6.6339}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2454040050506592, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 68 | +{"ts": 1793144923.321345, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0be0276bba5d598d8baa18207f377a8b702fe76e39cb341ed12c129639f9dd44", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6357, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.1887, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1887, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6031, 4.6122, 4.6149, 4.6216, 4.6357], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6478, \"target_holdings\": 3.4478}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1823451519012451, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 69 | +{"ts": 1793144930.4214468, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "65f597e32d0202d78ced0da9afc7cc902098eb189bde141b01b27e16da14ac05", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6357, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 6.2505, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2505, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6122, 4.6149, 4.6216, 4.6357, 4.6357], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6555, \"target_holdings\": 5.6522}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1810810565948486, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 70 | +{"ts": 1793144935.362239, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "89644b1088374e74d1936bcfdbd499208109bfca357c8125a42bd141576acb16", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6357, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0569, \"cash\": 6.2983, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2983, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6122, 4.6149, 4.6216, 4.6357, 4.6357], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6628, \"target_holdings\": 7.7176}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2168917655944824, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 71 | +{"ts": 1793144937.228406, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a603587322390e2028eae11c020f69606ae2e4cde8074fc1ded3f7178de49b0c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6357, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0529, \"cash\": 6.313, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.313, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6149, 4.6216, 4.6357, 4.6357, 4.6357], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.655, \"target_holdings\": 5.4949}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.655,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.655, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6706979274749756, "usage": {"prompt_tokens": 349, "completion_tokens": 56, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 72 | +{"ts": 1793144939.361492, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fbdf24272e2f2e00a6e5b9f35e8120def910d669998ccfd7417e423ebd10ea83", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6357, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.3613, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3613, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6149, 4.6216, 4.6357, 4.6357, 4.6357], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.645, \"target_holdings\": 2.6457}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, holding is optimal\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2705657482147217, "usage": {"prompt_tokens": 446, "completion_tokens": 58, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 73 | +{"ts": 1793144948.3161962, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "706918c0d044b089779f838c0876180e3fda50622be27beb4263362a5d96f54b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6519, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.3762, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3762, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6216, 4.6357, 4.6357, 4.6357, 4.6519], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.649, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.236274003982544, "usage": {"prompt_tokens": 445, "completion_tokens": 64, "total_tokens": 509, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 74 | +{"ts": 1793144951.6640809, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "81c40f42bbbaf02c865a96c2ec56c6dc7bcd2b00d69307e87dd965234b01f153", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6519, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.4249, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4249, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6216, 4.6357, 4.6357, 4.6357, 4.6519], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6479, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2443361282348633, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 75 | +{"ts": 1793144957.031349, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "64a19f309fdaa16499e05490e75da996d292cbee70fb3937207377cdc0ee8817", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.4761, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 6.0985, \"holdings\": 0.0864, \"loan\": 0.0, \"equity\": 6.4854, \"margin\": 0.5, \"loan_capacity\": 0.1935, \"history\": [4.6357, 4.6357, 4.6357, 4.6519, 4.656], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.639, \"target_holdings\": 46.4373}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.5917210578918457, "usage": {"prompt_tokens": 352, "completion_tokens": 58, "total_tokens": 410, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 76 | +{"ts": 1793144962.068754, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fd19a923ac392486cd0d39e9cbb185fe649f7d841acf36829c1817bf69f51650", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.4761, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0426, \"cash\": 6.0523, \"holdings\": 0.0858, \"loan\": 0.0, \"equity\": 6.4362, \"margin\": 0.5, \"loan_capacity\": 0.192, \"history\": [4.6357, 4.6357, 4.6357, 4.6519, 4.656], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6347, \"target_holdings\": 45.2027}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.6144530773162842, "usage": {"prompt_tokens": 352, "completion_tokens": 58, "total_tokens": 410, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 77 | +{"ts": 1793144962.639083, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d1b5335b3c029648bad3c069a532abc514b61fdf981a0fb4a2ac78abe55857f1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4653, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 6.1171, \"holdings\": 0.0858, \"loan\": 0.0, \"equity\": 6.5001, \"margin\": 0.5, \"loan_capacity\": 0.1915, \"history\": [4.6357, 4.6357, 4.6519, 4.656, 4.4653], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6623, \"target_holdings\": 56.1629}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5699491500854492, "usage": {"prompt_tokens": 353, "completion_tokens": 57, "total_tokens": 410, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 78 | +{"ts": 1793144965.945004, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b546992b2f499251faa84b5016ccb3f095c3d43b04ee93a5c07d1910aa7d47b7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4653, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.1638, \"holdings\": 0.0864, \"loan\": 0.0, \"equity\": 6.5498, \"margin\": 0.5, \"loan_capacity\": 0.193, \"history\": [4.6357, 4.6357, 4.6519, 4.656, 4.4653], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6379, \"target_holdings\": 49.1919}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.6141328811645508, "usage": {"prompt_tokens": 352, "completion_tokens": 58, "total_tokens": 410, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 79 | +{"ts": 1793144974.4573472, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "426d71bcc5992e61d9c802a8eb2ce7d71384b09cee1cd437cdcb6fc3970e7bc2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4585, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.1825, \"holdings\": 0.0858, \"loan\": 0.0, \"equity\": 6.565, \"margin\": 0.5, \"loan_capacity\": 0.1912, \"history\": [4.6357, 4.6519, 4.656, 4.4653, 4.4585], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6479, \"target_holdings\": 53.9897}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.6783759593963623, "usage": {"prompt_tokens": 351, "completion_tokens": 60, "total_tokens": 411, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 80 | +{"ts": 1793144979.0424352, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "346b410d30782223aa46edd2857690d8654da3b61eaa4a458f6fad1f0794d8f8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4585, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 6.2298, \"holdings\": 0.0864, \"loan\": 0.0, \"equity\": 6.6151, \"margin\": 0.5, \"loan_capacity\": 0.1927, \"history\": [4.6357, 4.6519, 4.656, 4.4653, 4.4585], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6555, \"target_holdings\": 56.1584}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6776070594787598, "usage": {"prompt_tokens": 352, "completion_tokens": 57, "total_tokens": 409, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 81 | +{"ts": 1793144981.7026691, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cc408b9d5eac60207a48b8f99730719899c7619d1920e9c944e49e94557f7ad4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.4612, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.2969, \"holdings\": 0.0864, \"loan\": 0.0, \"equity\": 6.6825, \"margin\": 0.5, \"loan_capacity\": 0.1928, \"history\": [4.6519, 4.656, 4.4653, 4.4585, 4.4612], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6498, \"target_holdings\": 53.7605}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.5836091041564941, "usage": {"prompt_tokens": 353, "completion_tokens": 58, "total_tokens": 411, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 82 | +{"ts": 1793144983.894878, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c362416649bfbd144622d3f9a4f966ba044fd8d9bea19fe18bfca9f4ec357f6b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.4612, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.2491, \"holdings\": 0.0858, \"loan\": 0.0, \"equity\": 6.6318, \"margin\": 0.5, \"loan_capacity\": 0.1913, \"history\": [4.6519, 4.656, 4.4653, 4.4585, 4.4612], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6351, \"target_holdings\": 49.5778}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.6819190979003906, "usage": {"prompt_tokens": 353, "completion_tokens": 59, "total_tokens": 412, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 83 | +{"ts": 1793144988.094653, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "732da6b58023f2e6d2f8fe09b6bbb20bb3220c7e85ff460b369f82f191cae5df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.4712, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.3156, \"holdings\": 0.0858, \"loan\": 0.0, \"equity\": 6.6992, \"margin\": 0.5, \"loan_capacity\": 0.1918, \"history\": [4.656, 4.4653, 4.4585, 4.4612, 4.4712], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6487, \"target_holdings\": 50.5872}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7369709014892578, "usage": {"prompt_tokens": 353, "completion_tokens": 60, "total_tokens": 413, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 84 | +{"ts": 1793144995.0608552, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bdf035debd61e1c5c4f30d403379248d9855fbd23357337d1bfdd08612ac8aea", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.4712, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.3639, \"holdings\": 0.0864, \"loan\": 0.0, \"equity\": 6.7504, \"margin\": 0.5, \"loan_capacity\": 0.1932, \"history\": [4.656, 4.4653, 4.4585, 4.4612, 4.4712], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6544, \"target_holdings\": 52.2261}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.6927869319915771, "usage": {"prompt_tokens": 353, "completion_tokens": 60, "total_tokens": 413, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 85 | +{"ts": 1793144998.998751, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8f6b6ffcf50e6d87cc99f09002593553253e93782475851039925e6a190e30ad", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.4839, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 6.4318, \"holdings\": 0.0864, \"loan\": 0.0, \"equity\": 6.8194, \"margin\": 0.5, \"loan_capacity\": 0.1938, \"history\": [4.4653, 4.4585, 4.4612, 4.4712, 4.4839], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6383, \"target_holdings\": 44.0247}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7328758239746094, "usage": {"prompt_tokens": 354, "completion_tokens": 60, "total_tokens": 414, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 86 | +{"ts": 1793145003.8561752, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d31ff4c60305e9dc5ddc29a8c0db98abe12127d6e98bb13b92dfeec0c7138e12", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.4839, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0525, \"cash\": 6.3831, \"holdings\": 0.0858, \"loan\": 0.0, \"equity\": 6.7677, \"margin\": 0.5, \"loan_capacity\": 0.1923, \"history\": [4.4653, 4.4585, 4.4612, 4.4712, 4.4839], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6541, \"target_holdings\": 48.5444}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.768923282623291, "usage": {"prompt_tokens": 354, "completion_tokens": 60, "total_tokens": 414, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 87 | +{"ts": 1793145005.629062, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a7b9a70f7076f24584e48704be71996b330150eee6cbe3f2fab75f43e0df3f36", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.4999, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 6.4997, \"holdings\": 0.0864, \"loan\": 0.0, \"equity\": 6.8887, \"margin\": 0.5, \"loan_capacity\": 0.1945, \"history\": [4.4585, 4.4612, 4.4712, 4.4839, 4.4999], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.646, \"target_holdings\": 41.6512}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7692580223083496, "usage": {"prompt_tokens": 353, "completion_tokens": 60, "total_tokens": 413, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 88 | +{"ts": 1793145011.347882, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "768b844a3c451dede10b13b1a79dea33d2791cefa7a2d4c044088b2d44286e76", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.4999, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.8366, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8366, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4585, 4.4612, 4.4712, 4.4839, 4.4999], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6413, \"target_holdings\": 40.3267}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2511839866638184, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 89 | +{"ts": 1793145016.045471, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fe5fd7a607ec0469698a50ba1eaf905521447452816293c944fa7ac14cbd8746", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.5, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0601, \"cash\": 6.9049, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9049, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4612, 4.4712, 4.4839, 4.4999, 4.5], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6691, \"target_holdings\": 48.213}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.561856985092163, "usage": {"prompt_tokens": 443, "completion_tokens": 57, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 90 | +{"ts": 1793145022.5270882, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ef09f54cd89de073d5069dec7fcabff0fead5e4d75c1e82e5bbd6ad2d5c7e6a4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.5, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 6.9574, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9574, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4612, 4.4712, 4.4839, 4.4999, 4.5], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6651, \"target_holdings\": 47.0663}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to take on debt or sell\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.194352149963379, "usage": {"prompt_tokens": 440, "completion_tokens": 59, "total_tokens": 499, "prompt_tokens_details": {"cached_tokens": 390}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 91 | +{"ts": 1793145024.968808, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9e3724b8e6bb66180afbc148e31ebfed0659c2800decf1f704253e1c7ca68a65", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5157, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0456, \"cash\": 7.0269, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0269, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4712, 4.4839, 4.4999, 4.5, 4.5157], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6407, \"target_holdings\": 35.6385}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, equity is sufficient\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4485549926757812, "usage": {"prompt_tokens": 440, "completion_tokens": 58, "total_tokens": 498, "prompt_tokens_details": {"cached_tokens": 391}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 92 | +{"ts": 1793145026.2400389, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bd194bd235bfddd8838a06a15e2c96593afd277be4902b5156cb54111e0e59a2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5157, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0492, \"cash\": 6.974, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.974, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4712, 4.4839, 4.4999, 4.5, 4.5157], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6476, \"target_holdings\": 37.6005}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2710390090942383, "usage": {"prompt_tokens": 436, "completion_tokens": 50, "total_tokens": 486, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 93 | +{"ts": 1793145036.14134, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2c19d9a41d98486fe3ccabacf62b1257692d615bdd1ccc7e05e30ee6e9e09bf0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.5344, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 7.0972, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0972, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4839, 4.4999, 4.5, 4.5157, 4.5344], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6589, \"target_holdings\": 35.5124}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.402919054031372, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 94 | +{"ts": 1793145037.4499252, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7f308a71ccc22db44df5ccc56b6eb96e656526b7c437ccb6ef5419b23bc63c55", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.5344, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0537, \"cash\": 7.0437, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0437, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4839, 4.4999, 4.5, 4.5157, 4.5344], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6565, \"target_holdings\": 34.8187}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3083770275115967, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 95 | +{"ts": 1793145044.885108, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0deb7d6dc628d92d46e3a4f0073e8caf3226f2dc3ade3df6f889ca6969d15489", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.5556, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 7.1142, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1142, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4999, 4.5, 4.5157, 4.5344, 4.5556], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6417, \"target_holdings\": 24.5341}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2334909439086914, "usage": {"prompt_tokens": 443, "completion_tokens": 55, "total_tokens": 498, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 96 | +{"ts": 1793145050.617773, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e4b564c09f0fb8ba87abc1b70e60986440bfe81c46de972422a785fd7a36880a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.5556, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 7.1682, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1682, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4999, 4.5, 4.5157, 4.5344, 4.5556], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.648, \"target_holdings\": 26.3529}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1965901851654053, "usage": {"prompt_tokens": 442, "completion_tokens": 55, "total_tokens": 497, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 97 | +{"ts": 1793145056.241737, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fe985d78aab108a1186d6ecd2aa9e80ff1c8e9e3a94089be2b0b8e6ee6f87895", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0513, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6517, \"target_holdings\": 1.7014}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6517,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6517, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6705708503723145, "usage": {"prompt_tokens": 329, "completion_tokens": 57, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 98 | +{"ts": 1793145056.817067, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "46d9aeb27a4c3c1d3b86b664ee8a7f0c6fd3501a088e7d82501e19b35cb03368", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0578, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6645, \"target_holdings\": 5.3458}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6645,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6645, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.5751399993896484, "usage": {"prompt_tokens": 329, "completion_tokens": 56, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 99 | +{"ts": 1793145065.4056199, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "714608933a00ba6daf1525ec784651cd2a81d5cec98b2b90dff03dbc41bb738a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6438, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0389, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7707, \"margin\": 0.5, \"loan_capacity\": 2.3219, \"history\": [4.6458, 4.6438], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6274, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding the current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding is 0, so holding the current price"}, "valid": true, "error": "", "cached": false, "latency": 0.8728148937225342, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 100 | +{"ts": 1793145068.3802629, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5e54d340ad8e6c6e2c5649252b3c2d9bb4eb340576000350bf2ade8375c22136", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6438, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7707, \"margin\": 0.5, \"loan_capacity\": 2.3219, \"history\": [4.6458, 4.6438], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6469, \"target_holdings\": 0.8875}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6469,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6469, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6132090091705322, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 101 | +{"ts": 1793145070.123575, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a0318a08865abe4e6fcaeb0b1d1ad715ff19167d9b2ee01e471f313bfecd941e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6363, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0463, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8214, \"margin\": 0.5, \"loan_capacity\": 2.3181, \"history\": [4.6458, 4.6438, 4.6363], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6419, \"target_holdings\": 1.6108}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.7797787189483643, "usage": {"prompt_tokens": 341, "completion_tokens": 62, "total_tokens": 403, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 102 | +{"ts": 1793145076.1777768, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b80b957eb112d1c6ae56271e97d18fbe977bd575c97c24e7a0b884dd53ad519c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6363, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0434, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8214, \"margin\": 0.5, \"loan_capacity\": 2.3181, \"history\": [4.6458, 4.6438, 4.6363], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6363, \"target_holdings\": 0.0208}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.669633150100708, "usage": {"prompt_tokens": 341, "completion_tokens": 64, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 103 | +{"ts": 1793145076.871139, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "45bfc023690d8b5c5795153f8fb727db531a46dc14afbe29d9c4426a51f2746f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6335, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0415, \"cash\": 3.5587, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.8754, \"margin\": 0.5, \"loan_capacity\": 1.1584, \"history\": [4.6458, 4.6438, 4.6363, 4.6335], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6326, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded, sell to meet target\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded, sell to meet target"}, "valid": true, "error": "", "cached": false, "latency": 0.692950963973999, "usage": {"prompt_tokens": 346, "completion_tokens": 57, "total_tokens": 403, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 104 | +{"ts": 1793145084.403129, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bd8f2b0bf6a0af4f5c716a4d6f858327e63dc20659ad26cf6c5e54a06b2f9e16", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6335, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0473, \"cash\": 3.5541, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.8709, \"margin\": 0.5, \"loan_capacity\": 1.1584, \"history\": [4.6458, 4.6438, 4.6363, 4.6335], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6441, \"target_holdings\": 3.0207}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded, sell to meet target\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded, sell to meet target"}, "valid": true, "error": "", "cached": false, "latency": 0.6699299812316895, "usage": {"prompt_tokens": 347, "completion_tokens": 57, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 105 | +{"ts": 1793145086.833646, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "19c0c33b7fc0eb4a0d432b1b531c743ffc75f82b6be5c9d2ea632e7348423f09", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6175, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0468, \"cash\": 5.921, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.921, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6438, 4.6363, 4.6335, 4.6175], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6429, \"target_holdings\": 7.2358}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4225640296936035, "usage": {"prompt_tokens": 444, "completion_tokens": 57, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 106 | +{"ts": 1793145089.90523, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "36bfdc1e70b67d8ec6e41333650c1f39d54e2f14ca07d10457957d158adf65d8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6175, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0501, \"cash\": 5.9115, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9115, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6438, 4.6363, 4.6335, 4.6175], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6494, \"target_holdings\": 9.0882}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.6413600444793701, "usage": {"prompt_tokens": 352, "completion_tokens": 60, "total_tokens": 412, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 107 | +{"ts": 1793145097.657204, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c278a1c53a2af165eb280f776ed502b21961a60452dfd3aa47e0fbf6f17dced2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6225, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0386, \"cash\": 5.9706, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9706, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6438, 4.6363, 4.6335, 4.6175, 4.6225], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.627, \"target_holdings\": 1.2691}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2591056823730469, "usage": {"prompt_tokens": 445, "completion_tokens": 57, "total_tokens": 502, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 108 | +{"ts": 1793145101.3256478, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "594b396043cf8613427a155ea719d2204f395c037d77e53f31ffc2a1bd48d22c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6225, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 5.9802, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9802, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6438, 4.6363, 4.6335, 4.6175, 4.6225], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6323, \"target_holdings\": 2.7811}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2789528369903564, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 109 | +{"ts": 1793145104.23558, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5e2334b23278b804b8de9e9761047277d400b1cb1e5d0be44ed7bc47b8375cc7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6103, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0424, \"cash\": 6.0303, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0303, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6363, 4.6335, 4.6175, 4.6225, 4.6103], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6344, \"target_holdings\": 6.8599}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1954600811004639, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 110 | +{"ts": 1793145105.380264, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b5a8ac0139334ec8dac190abe5c61afc98cf08eaddd77f9054c2b2e3c8a3ef98", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6103, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0347, \"cash\": 6.0401, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0401, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6363, 4.6335, 4.6175, 4.6225, 4.6103], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6192, \"target_holdings\": 2.526}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1445002555847168, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 111 | +{"ts": 1793145115.9052942, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "755a63f2d44ef2f907cf78e18b338d1711fb03477ee70afb074b01f90b235bb7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6349, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.1005, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1005, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6335, 4.6175, 4.6225, 4.6103, 4.6349], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6224, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3459599018096924, "usage": {"prompt_tokens": 445, "completion_tokens": 64, "total_tokens": 509, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 112 | +{"ts": 1793145118.099478, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ccde2b110c9dc2aa26b2f56e111b4d1156b165df8a25c6996efd6d8dabcca786", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6349, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.04, \"cash\": 6.0906, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0906, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6335, 4.6175, 4.6225, 4.6103, 4.6349], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6296, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3515138626098633, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 113 | +{"ts": 1793145125.822724, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7483147e4fa1629ba57c10be7d539e47a8371944a8293a14f469593bdd2aa55e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6213, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.1515, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1515, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6175, 4.6225, 4.6103, 4.6349, 4.6213], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6486, \"target_holdings\": 7.7823}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to take on debt or sell\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1903929710388184, "usage": {"prompt_tokens": 448, "completion_tokens": 59, "total_tokens": 507, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 114 | +{"ts": 1793145127.811407, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "86d146a0c190f4bdfc327495f2c89a16810f9b2cabffbc0021194412333224ed", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6213, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.1615, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1615, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6175, 4.6225, 4.6103, 4.6349, 4.6213], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.645, \"target_holdings\": 6.756}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1164941787719727, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 115 | +{"ts": 1793145132.590656, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "95af06d41f2a06ff9be29de0de20e45da4aee268e0472410a77c7f6513265a42", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6162, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0691, \"cash\": 6.2231, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2231, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6225, 4.6103, 4.6349, 4.6213, 4.6162], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6868, \"target_holdings\": 20.1168}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.250817060470581, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 116 | +{"ts": 1793145135.659532, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d06021a4fb61c90b318f9cb76f720a474f991ff3a2edec9848b948a1ac5e8fed", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6162, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0653, \"cash\": 6.2131, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2131, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6225, 4.6103, 4.6349, 4.6213, 4.6162], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6793, \"target_holdings\": 17.9806}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2199218273162842, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 117 | +{"ts": 1793145140.229995, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "69b2ee4434e3c77f81d458c7765ea03d3bfa573e03b79ce52ef900e6e206e107", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6083, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.061, \"cash\": 6.2853, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2853, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6103, 4.6349, 4.6213, 4.6162, 4.6083], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6709, \"target_holdings\": 17.8638}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2847838401794434, "usage": {"prompt_tokens": 444, "completion_tokens": 57, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 118 | +{"ts": 1793145146.2870212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4f456c114c26494c162544eadba681daa8fce795819f953966ede734e26441e8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6083, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0589, \"cash\": 6.2752, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2752, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6103, 4.6349, 4.6213, 4.6162, 4.6083], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6667, \"target_holdings\": 16.6691}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2510900497436523, "usage": {"prompt_tokens": 445, "completion_tokens": 57, "total_tokens": 502, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 119 | +{"ts": 1793145154.564078, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1bf5424d5802879a9d9494a106316ff35963ee463a605f19ba8995e53d47c4a2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.606, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 6.3482, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3482, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6349, 4.6213, 4.6162, 4.6083, 4.606], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6581, \"target_holdings\": 14.8362}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1925270557403564, "usage": {"prompt_tokens": 443, "completion_tokens": 57, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 120 | +{"ts": 1793145155.552435, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "808b278a5e632dc3078f3665c98c7781cc790169dbb2c57987db67068d2d1262", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.606, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.054, \"cash\": 6.3379, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3379, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6349, 4.6213, 4.6162, 4.6083, 4.606], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6571, \"target_holdings\": 14.5532}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.9881472587585449, "usage": {"prompt_tokens": 435, "completion_tokens": 50, "total_tokens": 485, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 121 | +{"ts": 1793145160.3858528, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3ec185f885748da2bb3b6367bdd04253d2036b52383460afdee7b488e05f36ef", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6082, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.4013, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4013, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6213, 4.6162, 4.6083, 4.606, 4.6082], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6374, \"target_holdings\": 8.3285}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to take on debt or sell\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2532141208648682, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 122 | +{"ts": 1793145161.491084, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "60d0169a2143b4f7c9f430caf02df04ccb19cc5a1f111ec5d1255e1e51c3a5ba", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6082, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.4116, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4116, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6213, 4.6162, 4.6083, 4.606, 4.6082], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6576, \"target_holdings\": 14.1036}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is higher than current price\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1050310134887695, "usage": {"prompt_tokens": 446, "completion_tokens": 58, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 123 | +{"ts": 1793145166.886105, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e6b78bc5264523dac41e6c38e1c4d02738a80cd068ef85a38605d31f3efb1a85", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6131, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0542, \"cash\": 6.4758, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4758, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6162, 4.6083, 4.606, 4.6082, 4.6131], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6575, \"target_holdings\": 12.6554}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2791528701782227, "usage": {"prompt_tokens": 443, "completion_tokens": 55, "total_tokens": 498, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 5, "run": 3}} | ||||
| 124 | +{"ts": 1793145170.007521, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "11a404b5a30dc0880c4308f35f79257e0411dbf6fda30a2fb554152521540d18", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6131, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0415, \"cash\": 6.4653, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4653, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6162, 4.6083, 4.606, 4.6082, 4.6131], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6327, \"target_holdings\": 5.5788}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to expected dividend, holding is optimal.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3436837196350098, "usage": {"prompt_tokens": 449, "completion_tokens": 61, "total_tokens": 510, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 2, "run": 3}} | ||||
| 125 | +{"ts": 1793145175.934571, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b48268d941d8ffa01ad44db147a82c0c70f33f00eca848fc85c9dfc460434e62", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6223, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0443, \"cash\": 6.53, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.53, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6083, 4.606, 4.6082, 4.6131, 4.6223], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.638, \"target_holdings\": 4.4928}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2107439041137695, "usage": {"prompt_tokens": 435, "completion_tokens": 56, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 2, "run": 3}} | ||||
| 126 | +{"ts": 1793145184.278068, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2978de5425b86aebfd0cd15114621be8f73e5832e7f50c4de83b8d70fbddab6c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6223, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0435, \"cash\": 6.5405, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5405, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6083, 4.606, 4.6082, 4.6131, 4.6223], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6365, \"target_holdings\": 4.0625}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1657969951629639, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 5, "run": 3}} | ||||
| 127 | +{"ts": 1793145185.4371042, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3b028ed5459170f2fbc6de72263b9a68e4d0e78fd91ca660663062adee35bc0b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.627, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0459, \"cash\": 6.5953, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5953, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.606, 4.6082, 4.6131, 4.6223, 4.627], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6413, \"target_holdings\": 4.0602}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1586780548095703, "usage": {"prompt_tokens": 435, "completion_tokens": 56, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 2, "run": 3}} | ||||
| 128 | +{"ts": 1793145188.9735649, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c4ac45afd69f5bcae7add74d70a0d0b71af80448bd667be1e96c3b782d89232b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.627, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0422, \"cash\": 6.6059, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6059, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.606, 4.6082, 4.6131, 4.6223, 4.627], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.634, \"target_holdings\": 1.9792}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.233572006225586, "usage": {"prompt_tokens": 434, "completion_tokens": 56, "total_tokens": 490, "prompt_tokens_details": {"cached_tokens": 393}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 5, "run": 3}} | ||||
| 129 | +{"ts": 1793145197.29425, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "87e46020b4174e3f67fc667d393c6496accb99d132cc52bb415d5720eb17d7c2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6356, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0524, \"cash\": 6.6612, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6612, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6082, 4.6131, 4.6223, 4.627, 4.6356], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6541, \"target_holdings\": 5.2696}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2588460445404053, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 2, "run": 3}} | ||||
| 130 | +{"ts": 1793145200.636375, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b4b29f46470e3034eb62611ea1eb42b461496fe5add0fd7e386a776af3d17a98", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6356, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0408, \"cash\": 6.672, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.672, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6082, 4.6131, 4.6223, 4.627, 4.6356], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6313, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2705647945404053, "usage": {"prompt_tokens": 443, "completion_tokens": 64, "total_tokens": 507, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 5, "run": 3}} | ||||
| 131 | +{"ts": 1793145202.7274601, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ccc9eb7fb5e75febdb61b1df72d164210a550f625418615bb44551505841ec2c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6463, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 6.7278, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7278, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6131, 4.6223, 4.627, 4.6356, 4.6463], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6588, \"target_holdings\": 3.5833}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is high enough to justify holding.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.191654920578003, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 2, "run": 3}} | ||||
| 132 | +{"ts": 1793145203.367268, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3dcd4087fb6c067d63509593e69447b8f1ae8330f22017ec3e065051a2859be2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6463, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.057, \"cash\": 6.7387, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7387, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6131, 4.6223, 4.627, 4.6356, 4.6463], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.663, \"target_holdings\": 4.7604}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.663,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.663, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6396071910858154, "usage": {"prompt_tokens": 349, "completion_tokens": 56, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 3}} | ||||
| 133 | +{"ts": 1793145214.120994, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c2446fcbd066c40430c46e71f6278c6e66c5bb9a91d8c2e44f297c0080b7365b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6561, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0624, \"cash\": 6.7951, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7951, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6223, 4.627, 4.6356, 4.6463, 4.6561], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6735, \"target_holdings\": 4.9448}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.123215913772583, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 2, "run": 3}} | ||||
| 134 | +{"ts": 1793145214.7633631, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "83ccf58ba20355936ea78ba5148e39a65254d1c5820d1f6b5be6693634a249af", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6561, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0536, \"cash\": 6.8061, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8061, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6223, 4.627, 4.6356, 4.6463, 4.6561], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6563, \"target_holdings\": 0.0532}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0532,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0532, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6421809196472168, "usage": {"prompt_tokens": 351, "completion_tokens": 58, "total_tokens": 409, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 3}} | ||||
| 135 | +{"ts": 1793145224.2628748, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c7bc9c1183361b962eb2167e5b1ae378ec885b46f3bda152f2d0c7ebf866680b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6661, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.8741, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8741, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.627, 4.6356, 4.6463, 4.6561, 4.6661], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6462, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"No change in holdings to maintain moderate risk\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3034379482269287, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 5, "run": 3}} | ||||
| 136 | +{"ts": 1793145226.627559, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "384196ba3562a4a658b30f51a210672af88e7d2aea123f62be24c7ad1aebf5b5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6661, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.8631, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8631, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.627, 4.6356, 4.6463, 4.6561, 4.6661], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6544, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.334378957748413, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 2, "run": 3}} | ||||
| 137 | +{"ts": 1793145229.072726, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c58b6c57cc290b30888d01d9d87f62950489b0c55e14fa603bdac16e0b9233d0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.673, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.049, \"cash\": 6.9317, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9317, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6356, 4.6463, 4.6561, 4.6661, 4.673], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6473, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3418080806732178, "usage": {"prompt_tokens": 443, "completion_tokens": 64, "total_tokens": 507, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 2, "run": 3}} | ||||
| 138 | +{"ts": 1793145233.319027, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2aa222f2307305c62e7c2732df95277d650b80456222e6bb6e8779653b4b4052", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.673, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0544, \"cash\": 6.9429, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9429, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6356, 4.6463, 4.6561, 4.6661, 4.673], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6579, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3897171020507812, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 5, "run": 3}} | ||||
| 139 | +{"ts": 1793145238.210975, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e7c62023bcf07a60442ffc4d484d5c5ee65f73533aa6aeacfeab6c2269bdfbe7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6639, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.058, \"cash\": 7.001, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.001, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6463, 4.6561, 4.6661, 4.673, 4.6639], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.665, \"target_holdings\": 0.3198}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.222428798675537, "usage": {"prompt_tokens": 434, "completion_tokens": 56, "total_tokens": 490, "prompt_tokens_details": {"cached_tokens": 393}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 2, "run": 3}} | ||||
| 140 | +{"ts": 1793145242.105974, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "39c4cf002f6a54e0c04a71656fecaba36e58592ba581d4aab8b4697fa1d5f141", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6639, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 7.0123, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0123, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6463, 4.6561, 4.6661, 4.673, 4.6639], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6534, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.265002965927124, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 3}} | ||||
| 141 | +{"ts": 1793145249.78017, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6d01a72927b4af9905d7426669e4c6bcc700049792aa25b41a5ebd73b626df54", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6615, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.0524, \"cash\": 7.071, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.071, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6561, 4.6661, 4.673, 4.6639, 4.6615], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6541, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"No change in holdings to maintain moderate risk\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1313238143920898, "usage": {"prompt_tokens": 440, "completion_tokens": 55, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 2, "run": 3}} | ||||
| 142 | +{"ts": 1793145254.049113, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "439dada3d3f0a08096362f95c90571c3aa8b3fce8a30c698c158eb998ea3aa55", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6615, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 7.0824, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0824, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6561, 4.6661, 4.673, 4.6639, 4.6615], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6591, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.318518877029419, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 5, "run": 3}} | ||||
| 143 | +{"ts": 1793145256.376599, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "10e1afed8e5edcda6b596786ba3d203306664648d841cc8eeef3441817530439", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6558, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0457, \"cash\": 7.1533, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1533, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6661, 4.673, 4.6639, 4.6615, 4.6558], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6408, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2688050270080566, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 5, "run": 3}} | ||||
| 144 | +{"ts": 1793145260.275011, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1b013e2bd8dce5dc67aff327d8f07d0fe95f3aa87833d1c6735b3733ef0b9cc1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6558, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 7.1417, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1417, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6661, 4.673, 4.6639, 4.6615, 4.6558], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6487, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3682470321655273, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 2, "run": 3}} | ||||
| 145 | +{"ts": 1793145269.399426, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "70d03c8aeed12ea606b81109ba9f657dde02dca6f18c5aababe137f536f59c26", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6611, \"target_holdings\": 4.3673}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7636170387268066, "usage": {"prompt_tokens": 327, "completion_tokens": 55, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 1}} | ||||
| 146 | +{"ts": 1793145271.424702, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "33c868f1219d413c5c77c9bb8db20a1e05b7bbad178b63d63f83524f0eb2ac86", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.054, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6572, \"target_holdings\": 3.2591}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5740659236907959, "usage": {"prompt_tokens": 327, "completion_tokens": 55, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 1}} | ||||
| 147 | +{"ts": 1793145277.843318, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e3284c5488a70e7c06f5bb6381e099dddf661473dc3f8cf4d0f874476957ac53", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6542, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0558, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7893, \"margin\": 0.5, \"loan_capacity\": 2.3271, \"history\": [4.6458, 4.6542], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6606, \"target_holdings\": 1.8288}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6580758094787598, "usage": {"prompt_tokens": 335, "completion_tokens": 55, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 1}} | ||||
| 148 | +{"ts": 1793145280.0249548, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b102eb57f51c291c5f86929b43aba39eaaf25518fb79db1a3c2aa8734fc21679", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6542, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7893, \"margin\": 0.5, \"loan_capacity\": 2.3271, \"history\": [4.6458, 4.6542], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6529, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6402182579040527, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 149 | +{"ts": 1793145285.872721, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8b6256bbeb55ed1f20cc27af038162e68f14dfa1576f5b0025a714bda1a32ca6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6542, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 5.8497, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8497, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6542, 4.6542], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6592, \"target_holdings\": 1.4165}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.674936056137085, "usage": {"prompt_tokens": 339, "completion_tokens": 55, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 150 | +{"ts": 1793145287.719121, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "44d17b9b728b1f006b9e5bedc6fcf0fa8ad8c3e5feb0216b66917a7700d76ff5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6542, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.8403, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8403, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6542, 4.6542], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6458, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6542,\n \"borrow\": 0.0,\n \"rationale\": \"No change in portfolio\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1232349872589111, "usage": {"prompt_tokens": 428, "completion_tokens": 58, "total_tokens": 486, "prompt_tokens_details": {"cached_tokens": 386}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 151 | +{"ts": 1793145290.626549, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "80c75c58d2dba11aed6a36eb935eec58c9ae9e29a0dce80c5efc341784cd2c77", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6368, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0434, \"cash\": 5.9082, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9082, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6542, 4.6542, 4.6368], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6364, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6364,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2152540683746338, "usage": {"prompt_tokens": 432, "completion_tokens": 56, "total_tokens": 488, "prompt_tokens_details": {"cached_tokens": 392}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 152 | +{"ts": 1793145294.6024299, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "600f74389660d997cc76f72f6be50410b2090788e49d413b2c7f2801da5f25e8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6368, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 5.8987, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8987, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6542, 4.6542, 4.6368], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6416, \"target_holdings\": 1.3899}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6035680770874023, "usage": {"prompt_tokens": 346, "completion_tokens": 55, "total_tokens": 401, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 153 | +{"ts": 1793145295.9725618, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da6cc04edf22fa0fdc0b89efca6e3e134ccc50138a08d498594c5f9cc0c0abde", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6289, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 5.9673, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9673, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6542, 4.6542, 4.6368, 4.6289], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6651, \"target_holdings\": 10.3227}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5906162261962891, "usage": {"prompt_tokens": 352, "completion_tokens": 55, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 154 | +{"ts": 1793145298.696096, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cde64931ab3c37d2ba906ccf5302adf55f49d6c0e1d96f75bf4a1ed0eb05c553", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6289, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0562, \"cash\": 5.9577, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9577, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6542, 4.6542, 4.6368, 4.6289], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6615, \"target_holdings\": 9.2826}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6190199851989746, "usage": {"prompt_tokens": 352, "completion_tokens": 55, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 155 | +{"ts": 1793145308.119159, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "62213a38d0af84f13c717c1a087ce1b96f6b2edb4538a6a6a244d9428cf07e3b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6186, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 6.027, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.027, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6542, 4.6542, 4.6368, 4.6289, 4.6186], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6529, \"target_holdings\": 9.7736}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6186,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3670530319213867, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 156 | +{"ts": 1793145309.328021, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2f7e8499c146d22b603bdcef2f1888f771299625ca53ab63d035f7c3220989ef", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6186, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0559, \"cash\": 6.0173, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0173, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6542, 4.6542, 4.6368, 4.6289, 4.6186], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6608, \"target_holdings\": 12.0229}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6186,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.208482027053833, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 157 | +{"ts": 1793145312.862195, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e85bf6894e368d969fed97fee949b676f4cf8a475f6714cfdef864d21386d717", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6198, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0476, \"cash\": 6.0872, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0872, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6542, 4.6368, 4.6289, 4.6186, 4.6198], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6446, \"target_holdings\": 7.0525}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6446,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2054431438446045, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 158 | +{"ts": 1793145317.476248, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4df6aed4b23f1c26d7c2c97a89c03bdd79d1312adac846cea92fb657c03d22f8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6198, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0454, \"cash\": 6.0775, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0775, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6542, 4.6368, 4.6289, 4.6186, 4.6198], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6402, \"target_holdings\": 5.8117}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1049389839172363, "usage": {"prompt_tokens": 437, "completion_tokens": 55, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 159 | +{"ts": 1793145323.680091, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b1e0708e81423a262df894709a51e619c44df3200c1c94ac69ef0c7ce9c2b9ed", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6228, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0542, \"cash\": 6.1382, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1382, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6368, 4.6289, 4.6186, 4.6198, 4.6228], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6574, \"target_holdings\": 9.8711}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6228,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2290501594543457, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 160 | +{"ts": 1793145324.8138602, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e87699602c23960d235afb21e50d948f83f2a6781e86bc2093349097e02bbc0d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6228, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0574, \"cash\": 6.1481, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1481, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6368, 4.6289, 4.6186, 4.6198, 4.6228], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6637, \"target_holdings\": 11.6583}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1335818767547607, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 161 | +{"ts": 1793145327.912553, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ba5817a593ee6ce265793d2b7bcd76c9a51e380b7c3ceeaf60c205e1c7f30eaf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6299, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 6.1996, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1996, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6289, 4.6186, 4.6198, 4.6228, 4.6299], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.659, \"target_holdings\": 8.2928}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.659,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.245469093322754, "usage": {"prompt_tokens": 437, "completion_tokens": 55, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 162 | +{"ts": 1793145333.832722, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "78d48c433847cfa74a2978dcf9c0002fbc0bf7112ca997f0809183e9d0eae97d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6299, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0531, \"cash\": 6.2096, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2096, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6289, 4.6186, 4.6198, 4.6228, 4.6299], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6554, \"target_holdings\": 7.2677}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6554,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1984920501708984, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 163 | +{"ts": 1793145337.252606, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "28bca136cd90c9cfd4e7d3d6138b9219174c82dbcf2f13c969dff20a20bf6ffd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6437, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.047, \"cash\": 6.2616, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2616, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6186, 4.6198, 4.6228, 4.6299, 4.6437], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6433, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6437,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2390646934509277, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 164 | +{"ts": 1793145337.879471, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8173133f55c4f22233fefa7987a88d7e79080a41f228d091e44492cefd06a621", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6437, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.2717, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2717, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6186, 4.6198, 4.6228, 4.6299, 4.6437], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6498, \"target_holdings\": 1.7534}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.7534,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6498,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.7534, "order_type": "limit", "limit_price": 4.6498, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6266732215881348, "usage": {"prompt_tokens": 351, "completion_tokens": 57, "total_tokens": 408, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 165 | +{"ts": 1793145342.384212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ff426206b96bd6851153eb3ad9ad328fbc6f59f0d4d53952cc2fb30e8f055acf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6495, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0528, \"cash\": 6.3242, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3242, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6198, 4.6228, 4.6299, 4.6437, 4.6495], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6547, \"target_holdings\": 1.4919}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6632688045501709, "usage": {"prompt_tokens": 352, "completion_tokens": 55, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 166 | +{"ts": 1793145345.8616178, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "02d2e45d756fc6c455281176734f7a13a8925a84df212c0b61b688618481421b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6495, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0486, \"cash\": 6.3344, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3344, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6198, 4.6228, 4.6299, 4.6437, 4.6495], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6465, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6495,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1445879936218262, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 167 | +{"ts": 1793145352.4601018, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2c0976c2907bc67b4e9a1d87cb05d13c8684f6046a0fea9e40e29d892a3ed2d1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6479, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 6.3875, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3875, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6228, 4.6299, 4.6437, 4.6495, 4.6479], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6582, \"target_holdings\": 2.9365}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6557538509368896, "usage": {"prompt_tokens": 352, "completion_tokens": 55, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 168 | +{"ts": 1793145355.658211, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ef4a5a7fb41c79e7cbe1502c99d418ca4b1f68207a5e83c687c04c7e77768627", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6479, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.3978, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3978, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6228, 4.6299, 4.6437, 4.6495, 4.6479], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6435, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6435,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2004249095916748, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 169 | +{"ts": 1793145362.726688, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cef410d2fae098f3a72f3d6dd19ed402ad8a1e143f7a1d88daaa0cd48d3ac1d3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6368, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.4513, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4513, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6299, 4.6437, 4.6495, 4.6479, 4.6368], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6491, \"target_holdings\": 3.5035}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6514511108398438, "usage": {"prompt_tokens": 352, "completion_tokens": 55, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 170 | +{"ts": 1793145365.665354, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2f26eba30f977b52451cfd546d0d0bc2c39866c5361a8f7b8b1c56c7432d5764", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6368, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.4617, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4617, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6299, 4.6437, 4.6495, 4.6479, 4.6368], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6435, \"target_holdings\": 1.9191}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.9191,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6435,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.9191, "order_type": "limit", "limit_price": 4.6435, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6245987415313721, "usage": {"prompt_tokens": 352, "completion_tokens": 57, "total_tokens": 409, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 171 | +{"ts": 1793145369.8263738, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d10fcd30c56f72bd16f250a5b8e4b98a797453a689cb266766c6e405314430a9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6394, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.5264, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5264, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6437, 4.6495, 4.6479, 4.6368, 4.6394], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6435, \"target_holdings\": 1.1639}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.1639,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6435,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.1639, "order_type": "limit", "limit_price": 4.6435, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7199831008911133, "usage": {"prompt_tokens": 352, "completion_tokens": 57, "total_tokens": 409, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 172 | +{"ts": 1793145370.9518468, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4048d0d40edad02fda459b70dbc515383cc47577aa2703fe1c104a4e91b41e98", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6394, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.5159, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5159, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6437, 4.6495, 4.6479, 4.6368, 4.6394], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6351, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6351,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1252689361572266, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 173 | +{"ts": 1793145374.31097, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "30e93352aa86d7e2da97b5fd917df0921f86df03d0cd150e140549f0d0792030", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6306, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 6.5916, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5916, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6495, 4.6479, 4.6368, 4.6394, 4.6306], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6517, \"target_holdings\": 6.0066}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6306,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.211270809173584, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 174 | +{"ts": 1793145378.862835, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "900f38092f0265f672cc8efc444ffb858cdbb129c1440fc7aae3576047979335", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6306, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0496, \"cash\": 6.581, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.581, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6495, 4.6479, 4.6368, 4.6394, 4.6306], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6485, \"target_holdings\": 5.0938}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6306,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2389559745788574, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 175 | +{"ts": 1793145382.614959, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b1956928f93d496576a4d73bc312147d36af314f84b692676f7f83f7888607ff", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6278, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0579, \"cash\": 6.6468, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6468, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6479, 4.6368, 4.6394, 4.6306, 4.6278], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6648, \"target_holdings\": 10.5621}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6648,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1540400981903076, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 176 | +{"ts": 1793145384.574358, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "090416600172f3f2cf63f0f18dddf9b40267f00ac27a6db90e4d6e389345bde5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6278, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0429, \"cash\": 6.6575, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6575, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6479, 4.6368, 4.6394, 4.6306, 4.6278], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6353, \"target_holdings\": 2.1426}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6353,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1834790706634521, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 177 | +{"ts": 1793145390.434763, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f24ad4b3af078b49978e1009176e8842e86935cf4de566f08b24c95893901696", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6361, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0582, \"cash\": 6.7241, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7241, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6368, 4.6394, 4.6306, 4.6278, 4.6361], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6653, \"target_holdings\": 8.3305}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6697268486022949, "usage": {"prompt_tokens": 352, "completion_tokens": 55, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 178 | +{"ts": 1793145391.5472069, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "28c3e3d59cf48822057973ee873b51ccc7271cf3c01febd720544dc1d2d6db4e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6361, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 6.7133, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7133, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6368, 4.6394, 4.6306, 4.6278, 4.6361], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6516, \"target_holdings\": 4.4375}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6361,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1122488975524902, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 179 | +{"ts": 1793145401.973758, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "078279838e6cafa14fa8e1cc81d1bef0e5188974dee7e98ca36855b1761b6a9e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6523, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0407, \"cash\": 6.7914, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7914, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6394, 4.6306, 4.6278, 4.6361, 4.6523], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6311, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6311,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2277071475982666, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 180 | +{"ts": 1793145406.107761, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5856e52cc0d342b11f78f87d73e0b4679ede02056efd90aae6e136b994031033", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6523, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.7804, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7804, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6394, 4.6306, 4.6278, 4.6361, 4.6523], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.645, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.645,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.218451976776123, "usage": {"prompt_tokens": 436, "completion_tokens": 55, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 181 | +{"ts": 1793145411.231335, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "726ac518c8406a861f141be7bb99fec142513157282dd1f2f08989988db128d6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6504, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 6.8593, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8593, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6306, 4.6278, 4.6361, 4.6523, 4.6504], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6323, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6504,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2258832454681396, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 182 | +{"ts": 1793145414.377921, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "42b1083d090d54bbacbf4aa8b89d2b0e936e0beab66cd02f849d0a881fc088ba", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6504, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.8482, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8482, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6306, 4.6278, 4.6361, 4.6523, 4.6504], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6499, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6499,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2146670818328857, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 183 | +{"ts": 1793145415.709791, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5cdeb8fd52d21a4ccb5e130f61699f63dd3592fa9ae8a1e88a8ccb5e5127de45", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6377, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0447, \"cash\": 6.9278, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9279, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6278, 4.6361, 4.6523, 4.6504, 4.6377], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6388, \"target_holdings\": 0.3122}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.3122,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6388,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.3122, "order_type": "limit", "limit_price": 4.6388, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6093738079071045, "usage": {"prompt_tokens": 351, "completion_tokens": 57, "total_tokens": 408, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 184 | +{"ts": 1793145418.702141, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "826eb881ad77eba902c5a3825d0f66055f61dd7d0f71cc7d677bc0f7779bda01", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6377, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.9167, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9167, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6278, 4.6361, 4.6523, 4.6504, 4.6377], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6431, \"target_holdings\": 1.5333}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6561558246612549, "usage": {"prompt_tokens": 351, "completion_tokens": 55, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 185 | +{"ts": 1793145422.352795, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "94e6ad007054102340872f522397b44731ef055941192543aa8c1b8dd7f9bb5c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6411, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.9971, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9971, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6361, 4.6523, 4.6504, 4.6377, 4.6411], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6491, \"target_holdings\": 2.3036}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5137631893157959, "usage": {"prompt_tokens": 352, "completion_tokens": 55, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 186 | +{"ts": 1793145429.198263, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2ed9e121479159b2e610edc1251ad5ac04cba0f4ee9b951790ea8cc430320ccd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6411, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 6.9859, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9859, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6361, 4.6523, 4.6504, 4.6377, 4.6411], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6321, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2133169174194336, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 187 | +{"ts": 1793145430.386924, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7ef7883c880b112ddb12f04692919a16821f2ccd97c981f7f535cf53bf628b20", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6454, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0453, \"cash\": 7.0671, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0671, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6523, 4.6504, 4.6377, 4.6411, 4.6454], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.64, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6454,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1882808208465576, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 188 | +{"ts": 1793145431.525503, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1c4f688255334dfadd26c2ef64c0716914cfa44406a6614dbb982a28cd2f2e6c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6454, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0518, \"cash\": 7.0557, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0557, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6523, 4.6504, 4.6377, 4.6411, 4.6454], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6529, \"target_holdings\": 2.1272}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6454,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.138382911682129, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 189 | +{"ts": 1793145438.3609128, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e9d70bed6f5ad4e36334f6351ab96403575b62a5bdd4512a50046f5b6c036171", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6432, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0548, \"cash\": 7.1263, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1263, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6504, 4.6377, 4.6411, 4.6454, 4.6432], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6586, \"target_holdings\": 4.3941}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6432,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2153520584106445, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 190 | +{"ts": 1793145439.6038961, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "899a6051e112c97d15cd0a694c80001c6347542c7a745b96099044f37f9aef20", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6432, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0568, \"cash\": 7.1378, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1378, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6504, 4.6377, 4.6411, 4.6454, 4.6432], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6627, \"target_holdings\": 5.5438}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6627,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2427880764007568, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 191 | +{"ts": 1793145445.5789099, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3136e4d7e6a02ea8cf85849077d384790d60979a18832f32c5a3b05585a1e915", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6491, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0525, \"cash\": 7.1975, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1976, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6377, 4.6411, 4.6454, 4.6432, 4.6491], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6542, \"target_holdings\": 1.4414}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.4414,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6491,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.4414, "order_type": "limit", "limit_price": 4.6491, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6934502124786377, "usage": {"prompt_tokens": 352, "completion_tokens": 57, "total_tokens": 409, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 192 | +{"ts": 1793145451.5483031, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c4e49bc1a94ddb5eb49c64f24fde7ddcd55d1283a41bd1b023ed0be24e60189f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6491, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 7.2092, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.2092, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6377, 4.6411, 4.6454, 4.6432, 4.6491], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6512, \"target_holdings\": 0.5919}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.5919,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6512,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.5919, "order_type": "limit", "limit_price": 4.6512, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7425651550292969, "usage": {"prompt_tokens": 351, "completion_tokens": 57, "total_tokens": 408, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 193 | +{"ts": 1793145455.61078, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fa1f0770534d0d72c47c14365b4f5d7ddb39fdd6bdc45d585791ab95ab8a8e5b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6513, \"target_holdings\": 1.5791}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6738049983978271, "usage": {"prompt_tokens": 328, "completion_tokens": 55, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 194 | +{"ts": 1793145457.868692, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d0a9b85e9938b88ee95270baf70fc0b08c173b4448a60623a4e9ca6866f61c77", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0454, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6402, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6673929691314697, "usage": {"prompt_tokens": 328, "completion_tokens": 55, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 195 | +{"ts": 1793145458.42147, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9ae1b569b77696e7949296dd5e274a23443450326c652303ff7da91430328725", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6426, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0427, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7618, \"margin\": 0.5, \"loan_capacity\": 2.3213, \"history\": [4.6458, 4.6426], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.635, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5523748397827148, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 196 | +{"ts": 1793145458.986231, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0bec0577f8d5f90fae721f07b2f64252fec7f733c8cdbaa00363308201b36b7f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6426, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7618, \"margin\": 0.5, \"loan_capacity\": 2.3213, \"history\": [4.6458, 4.6426], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6416, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5645551681518555, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 197 | +{"ts": 1793145470.541344, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "17726c9af1f3c6dbdcd9e88080f2b06ecd7493d60950f30de3e75695577c5b87", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6353, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 5.8077, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8077, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6426, 4.6353], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6224, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6353,\n \"borrow\": 0.0,\n \"rationale\": \"No change in portfolio\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4595470428466797, "usage": {"prompt_tokens": 428, "completion_tokens": 58, "total_tokens": 486, "prompt_tokens_details": {"cached_tokens": 386}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 198 | +{"ts": 1793145472.364932, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "20981337cc7b2ac77d6aa8fc903d9c02cf5503a1bd0f6da02be3089c509f07f6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6353, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 5.8007, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8007, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6426, 4.6353], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6342, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6353,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0797879695892334, "usage": {"prompt_tokens": 426, "completion_tokens": 56, "total_tokens": 482, "prompt_tokens_details": {"cached_tokens": 386}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 199 | +{"ts": 1793145477.0585759, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5cc5427a26598352706027377e1ed8fbeba28b7d35170f2e41791a8c72b078e1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6222, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 5.8587, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8587, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6426, 4.6353, 4.6222], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6279, \"target_holdings\": 1.624}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.642719030380249, "usage": {"prompt_tokens": 345, "completion_tokens": 55, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 200 | +{"ts": 1793145479.942532, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e74bbe88173763737a0f592ebb1c9789ed53625efd50251e8538592a9141249d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6222, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0367, \"cash\": 5.8658, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8658, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6426, 4.6353, 4.6222], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6233, \"target_holdings\": 0.2995}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6233,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.232144832611084, "usage": {"prompt_tokens": 433, "completion_tokens": 56, "total_tokens": 489, "prompt_tokens_details": {"cached_tokens": 393}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 201 | +{"ts": 1793145484.909386, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "64d508105a1e6ede085bc58df9ed1246581ddb1ab66a7a634569cc31c9d376df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.637, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0447, \"cash\": 5.9244, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9244, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6426, 4.6353, 4.6222, 4.637], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6388, \"target_holdings\": 0.5047}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.5047,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6388,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.5047, "order_type": "limit", "limit_price": 4.6388, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6768560409545898, "usage": {"prompt_tokens": 350, "completion_tokens": 57, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 202 | +{"ts": 1793145486.200437, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fbce1295a1f17a180d7263f73fb99bc187efabf129e82a18ab486f6b21896e01", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.637, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0604, \"cash\": 5.9172, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9172, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6426, 4.6353, 4.6222, 4.637], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6697, \"target_holdings\": 9.3242}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5622971057891846, "usage": {"prompt_tokens": 350, "completion_tokens": 55, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 203 | +{"ts": 1793145489.9197571, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9aa19bbcb9c7fe788d6bea558d1fc13aaf28a8173c36969143d783ead4a9f327", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6382, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0511, \"cash\": 5.9837, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9837, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6426, 4.6353, 4.6222, 4.637, 4.6382], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6514, \"target_holdings\": 3.7826}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6382,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0760807991027832, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 204 | +{"ts": 1793145494.89601, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5be1e04c905a3ecdc4b2f9ab356602f474453ffc8683fd603cb79ac54935032e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6382, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0575, \"cash\": 5.9764, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9764, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6426, 4.6353, 4.6222, 4.637, 4.6382], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.664, \"target_holdings\": 7.3796}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6382,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2376821041107178, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 205 | +{"ts": 1793145498.8124201, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "062bfcdd006ae64717f97f7cffd984d4484649ee4e389d3e6f6a60edb406d837", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6401, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.0362, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0362, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6353, 4.6222, 4.637, 4.6382, 4.6401], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6486, \"target_holdings\": 2.4219}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6486,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3472089767456055, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 206 | +{"ts": 1793145504.618274, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f71f613f48fbf55596d23f1f3977d477440dd7990ae03cd56ca9c38a7db09b05", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6401, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0529, \"cash\": 6.0435, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0435, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6353, 4.6222, 4.637, 4.6382, 4.6401], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6549, \"target_holdings\": 4.213}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.370537281036377, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 207 | +{"ts": 1793145508.316771, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a759db236baeb1fa552cf927e038a69e7b464adfb21682ec1b00231c292a897e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.662, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.1039, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1039, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6222, 4.637, 4.6382, 4.6401, 4.662], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6544, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6625, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.6600778102874756, "usage": {"prompt_tokens": 348, "completion_tokens": 56, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 208 | +{"ts": 1793145508.9942799, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "62410bb08bdea096b12de234756f3ab84276561101fee1e6461e1a9d7c910841", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.662, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0544, \"cash\": 6.0965, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0965, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6222, 4.637, 4.6382, 4.6401, 4.662], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6579, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6579,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6579, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.6771609783172607, "usage": {"prompt_tokens": 348, "completion_tokens": 56, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 209 | +{"ts": 1793145519.213346, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "848d3f71e068bfac7e58baac994b2c213d2fc5e5691c3db0d42d1cf3353b0bcc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6492, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.1575, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1575, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.637, 4.6382, 4.6401, 4.662, 4.6492], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6576, \"target_holdings\": 2.3984}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6492,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2359066009521484, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 210 | +{"ts": 1793145522.5597, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c233e0c566787b3926c75c858ba768611fe57c7be8e522fe635d1d3f3e3b504b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6492, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 6.165, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.165, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.637, 4.6382, 4.6401, 4.662, 4.6492], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6481, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6492,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2215020656585693, "usage": {"prompt_tokens": 434, "completion_tokens": 56, "total_tokens": 490, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 211 | +{"ts": 1793145524.562305, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "21af3284c1738cb50f86d5b09b96a21eed718e7a8b1373db07a94d4b4ebdf96a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6323, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.2266, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2266, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6382, 4.6401, 4.662, 4.6492, 4.6323], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6478, \"target_holdings\": 4.4204}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6478,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.178251028060913, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 212 | +{"ts": 1793145527.571726, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c634e02918c49d4d4809c85eba3726524ba2ed60d449cbd5abfcd05f6cb1dd5a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6323, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 6.2191, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2191, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6382, 4.6401, 4.662, 4.6492, 4.6323], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.659, \"target_holdings\": 7.6065}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6595,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6595, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7042169570922852, "usage": {"prompt_tokens": 349, "completion_tokens": 56, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 213 | +{"ts": 1793145531.863992, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d716097508fb256cdd2846711201ac6139be460d9f9bc8e938d430b0b956490f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6363, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 6.2889, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2889, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6401, 4.662, 4.6492, 4.6323, 4.6363], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6555, \"target_holdings\": 5.4677}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6363,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2310521602630615, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 214 | +{"ts": 1793145536.634357, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "763ebdecd45ce3d857169bfed4692cf40bd2f6ab13fc1e132b1c8cd2d9b22ddf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6363, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0569, \"cash\": 6.2813, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2813, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6401, 4.662, 4.6492, 4.6323, 4.6363], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6628, \"target_holdings\": 7.533}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6363,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.194878101348877, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 215 | +{"ts": 1793145539.105331, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "569c162e1c620d7d91885f2cc76f7fa3b733fe2870fa287be66dd0d27e2bee7c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6403, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0529, \"cash\": 6.3518, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3518, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.662, 4.6492, 4.6323, 4.6363, 4.6403], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.655, \"target_holdings\": 4.1728}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6482229232788086, "usage": {"prompt_tokens": 350, "completion_tokens": 55, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 216 | +{"ts": 1793145542.69077, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9d150bc4419a1d21f14b53871a4da5b8c1b4b6c9e6e5eb0b2aae14f2bedaf0bc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6403, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.3441, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3441, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.662, 4.6492, 4.6323, 4.6363, 4.6403], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.645, \"target_holdings\": 1.3236}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.3236,\n \"order_type\": \"limit\",\n \"limit_price\": 4.645,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.3236, "order_type": "limit", "limit_price": 4.645, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6423170566558838, "usage": {"prompt_tokens": 350, "completion_tokens": 56, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 217 | +{"ts": 1793145547.724355, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d8d7e03c2b399e55290b401cf5d3cb2bc9f1466bc49facd54573380f372a9ed8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.646, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.4075, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4075, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6492, 4.6323, 4.6363, 4.6403, 4.646], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6479, \"target_holdings\": 0.5338}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6677420139312744, "usage": {"prompt_tokens": 350, "completion_tokens": 55, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 218 | +{"ts": 1793145549.234808, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1c1aa0416b70be008ef603e30ff83b4eeea4016c948f8f6335190d2e1b9abe9a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.646, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.4153, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4153, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6492, 4.6323, 4.6363, 4.6403, 4.646], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.649, \"target_holdings\": 0.8468}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.8468,\n \"order_type\": \"limit\",\n \"limit_price\": 4.649,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.8468, "order_type": "limit", "limit_price": 4.649, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6487839221954346, "usage": {"prompt_tokens": 349, "completion_tokens": 56, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 219 | +{"ts": 1793145552.898295, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e661c5048c36edef80051b83d5d601b26f8605229ea3dc0f83410635083c81bc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.642, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0426, \"cash\": 6.4794, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4794, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6323, 4.6363, 4.6403, 4.646, 4.642], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6347, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.6277360916137695, "usage": {"prompt_tokens": 348, "completion_tokens": 56, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 220 | +{"ts": 1793145557.454331, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f41ee157754ad7c8baaefef3ba2fd103af8d3178d0818761d941529b76a63f06", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.642, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 6.4716, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4716, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6323, 4.6363, 4.6403, 4.646, 4.642], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.639, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.642,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1597089767456055, "usage": {"prompt_tokens": 433, "completion_tokens": 55, "total_tokens": 488, "prompt_tokens_details": {"cached_tokens": 393}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 221 | +{"ts": 1793145563.746701, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "695c193c28ad8b55d0fc849ceda4eeee509b54ff030f5cb17891f80918c3b5e0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6254, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.5363, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5363, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6363, 4.6403, 4.646, 4.642, 4.6254], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6379, \"target_holdings\": 3.55}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6254,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2335751056671143, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 222 | +{"ts": 1793145566.4943821, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0fa5d51ede4b959676bcc9be3f40c4976ffb6b89fd2c7cf6b8f3865802a5a128", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6254, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 6.5442, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5442, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6363, 4.6403, 4.646, 4.642, 4.6254], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6623, \"target_holdings\": 10.521}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6254,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1719062328338623, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 223 | +{"ts": 1793145568.1997042, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4964d78afabb90bd18f42f03a6d7bfe46cf7a0fbfe9f514af89ecb7b684edd88", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6278, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 6.6017, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6017, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6403, 4.646, 4.642, 4.6254, 4.6278], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6555, \"target_holdings\": 7.9089}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6278,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0753448009490967, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 224 | +{"ts": 1793145575.806956, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "df803a951530362ab4b1057b28769f284d2ca2ffabc6967bc59e3901ed72f059", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6278, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.6097, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6097, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6403, 4.646, 4.642, 4.6254, 4.6278], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6479, \"target_holdings\": 5.7402}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6254,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2776730060577393, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 225 | +{"ts": 1793145578.0724301, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6f39b74162c631c77102454e2675bc8fa9f8d47610a64baf537cadc6f4786b31", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6339, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.6677, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6677, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.646, 4.642, 4.6254, 4.6278, 4.6339], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6498, \"target_holdings\": 4.517}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6498,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1356379985809326, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 226 | +{"ts": 1793145583.5503092, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a4e6da84084c13d1cb1134a2f995a2ef57a5d6fb01104c5422529278e7f979ab", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6339, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.6757, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6758, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.646, 4.642, 4.6254, 4.6278, 4.6339], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6351, \"target_holdings\": 0.3342}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.3342,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6351,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.3342, "order_type": "limit", "limit_price": 4.6351, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6764543056488037, "usage": {"prompt_tokens": 350, "completion_tokens": 57, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 227 | +{"ts": 1793145585.895026, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "baa55daf4120f63dcdb4ca1fb61b68cdfcc4e87c9041b3f913dad5bad220b916", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6426, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.7425, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7425, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.642, 4.6254, 4.6278, 4.6339, 4.6426], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6487, \"target_holdings\": 1.7208}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.7208,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6487,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.7208, "order_type": "limit", "limit_price": 4.6487, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6515803337097168, "usage": {"prompt_tokens": 351, "completion_tokens": 57, "total_tokens": 408, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 228 | +{"ts": 1793145590.572923, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "582deaebf7f28f2c618c16ec169cafb925e3d416d9e6568fe1eec9e39e442b3a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6426, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.7344, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7344, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.642, 4.6254, 4.6278, 4.6339, 4.6426], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6544, \"target_holdings\": 3.3596}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6426,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6426, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6113452911376953, "usage": {"prompt_tokens": 351, "completion_tokens": 56, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 229 | +{"ts": 1793145593.3964632, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0a8ad8b7c69bfe401c834a99eebd4fe8074128d475393a79fce2aa43b132d6c3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.652, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 6.8017, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8017, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6254, 4.6278, 4.6339, 4.6426, 4.652], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6383, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6383,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1807200908660889, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 230 | +{"ts": 1793145597.364216, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a8512ef1311c4c8f701305e5b19b2d8cb438438f263c2bec62d520f363d67b0a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.652, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0525, \"cash\": 6.8099, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.81, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6254, 4.6278, 4.6339, 4.6426, 4.652], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6541, \"target_holdings\": 0.6125}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6783909797668457, "usage": {"prompt_tokens": 349, "completion_tokens": 55, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 231 | +{"ts": 1793145599.4888608, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bba2dc629025b840aafa598cebc49296840a483135342c52ea7948047f5611e5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6503, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 6.8697, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8697, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6278, 4.6339, 4.6426, 4.652, 4.6504], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.646, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.646,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1389923095703125, "usage": {"prompt_tokens": 435, "completion_tokens": 55, "total_tokens": 490, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 232 | +{"ts": 1793145604.7919402, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b6a203495c8444fe3639a80548d81f200ada0d457b2a18100b2dc6412df873fe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6503, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.878, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8781, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6278, 4.6339, 4.6426, 4.652, 4.6504], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6413, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6426,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1174099445343018, "usage": {"prompt_tokens": 435, "completion_tokens": 56, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 233 | +{"ts": 1793145609.4239628, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4ef14db3c4977b2e2695cfebe6c49f14bd3f431f652d39da2358edb44c133328", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6369, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0601, \"cash\": 6.9468, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9468, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6339, 4.6426, 4.652, 4.6504, 4.6369], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6691, \"target_holdings\": 9.1729}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6691,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2255361080169678, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 234 | +{"ts": 1793145615.1326919, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b9bf7e419ec3f9a0d716be8681076caee324d887d877ac53bf58ca4cdab46bb2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6369, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 6.9384, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9384, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6339, 4.6426, 4.652, 4.6504, 4.6369], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6651, \"target_holdings\": 8.0262}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6651,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2158560752868652, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 235 | +{"ts": 1793145616.962388, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0e6e544391085b41a354ddde0db499b3f6d3070cdbd655d9154638f7109ab286", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6317, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0456, \"cash\": 7.0078, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0078, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6426, 4.652, 4.6504, 4.6369, 4.6317], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6407, \"target_holdings\": 2.5653}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6317,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1238179206848145, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 236 | +{"ts": 1793145618.180212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c545ba26eb4dd2598b9b5e65a36ff72223245e43db38cc2cd3a8320ecd9ea3cc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6317, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0492, \"cash\": 7.0163, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0163, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6426, 4.652, 4.6504, 4.6369, 4.6317], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6476, \"target_holdings\": 4.5272}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6317,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2176291942596436, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 237 | +{"ts": 1793145624.791873, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "74b6bfc8dbc7fabdaf2da131ee43b676ada8a6bd1ef6c7072ebba29f65fa3a06", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6472, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 7.0779, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0779, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.652, 4.6504, 4.6369, 4.6317, 4.6472], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6589, \"target_holdings\": 3.3454}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6589,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1096489429473877, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 238 | +{"ts": 1793145630.883395, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9458377762637ba15175d23f151df271389b4b49fa63c53f0072ca9dff64eaa8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6472, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0537, \"cash\": 7.0864, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0865, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.652, 4.6504, 4.6369, 4.6317, 4.6472], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6565, \"target_holdings\": 2.6518}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6565,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2916531562805176, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 239 | +{"ts": 1793145635.05025, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "989236cddc1465e60f62861d025d653507c4fb912a2df27823a6fecfbd1cb292", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6676, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 7.1486, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1487, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6504, 4.6369, 4.6317, 4.6472, 4.6676], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.648, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6676,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1779239177703857, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 240 | +{"ts": 1793145637.6729631, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "98aecb2253619fe9cd0a5ef4cf336843384cc2ae9abd1f45adcd10ece1dc589e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6676, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 7.1573, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1573, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6504, 4.6369, 4.6317, 4.6472, 4.6676], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6417, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6676,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.297013759613037, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 241 | +{"ts": 1793145644.26073, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fe985d78aab108a1186d6ecd2aa9e80ff1c8e9e3a94089be2b0b8e6ee6f87895", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0513, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6517, \"target_holdings\": 1.7014}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Maintaining target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Maintaining target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6523239612579346, "usage": {"prompt_tokens": 329, "completion_tokens": 57, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 242 | +{"ts": 1793145644.840699, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "46d9aeb27a4c3c1d3b86b664ee8a7f0c6fd3501a088e7d82501e19b35cb03368", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0578, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6645, \"target_holdings\": 5.3458}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6645,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6645, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5797140598297119, "usage": {"prompt_tokens": 329, "completion_tokens": 56, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 243 | +{"ts": 1793145652.963255, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "79fe0a8c4fd8ffb9a2ad9d76acb7c804cfee33cc4d8d1cbf8c2a013df2e7d65c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.655, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0389, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.782, \"margin\": 0.5, \"loan_capacity\": 2.3275, \"history\": [4.6458, 4.655], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6274, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6092507839202881, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 244 | +{"ts": 1793145655.161006, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "90fd9e51eb94b7490f74e7ae7bc3df6c637d2a01dd22dacd9329db509b18b2b6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.655, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.782, \"margin\": 0.5, \"loan_capacity\": 2.3275, \"history\": [4.6458, 4.655], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6469, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Maintaining target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Maintaining target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6227457523345947, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 245 | +{"ts": 1793145659.593813, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "03678786dd31ac9532a2048cb30e923a35524e460fe451a40a355ed63fdf5449", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6477, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0463, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8329, \"margin\": 0.5, \"loan_capacity\": 2.3239, \"history\": [4.6458, 4.655, 4.6477], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6419, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.708399772644043, "usage": {"prompt_tokens": 339, "completion_tokens": 55, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 246 | +{"ts": 1793145661.633572, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3aed693e7aa99b127d6a840f33d0df2cbf18fef2af85c08b471f6a453c2e061f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6477, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0434, \"cash\": 5.833, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.833, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.655, 4.6477], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6363, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6363,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.193532943725586, "usage": {"prompt_tokens": 423, "completion_tokens": 56, "total_tokens": 479, "prompt_tokens_details": {"cached_tokens": 383}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 247 | +{"ts": 1793145667.033516, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "28516f2257995a8e2fa839c8551a695be738b14dbc9aa827f2806fb72228aeab", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6184, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0473, \"cash\": 5.8913, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8913, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.655, 4.6477, 4.6184], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6441, \"target_holdings\": 7.3223}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.6441853046417236, "usage": {"prompt_tokens": 345, "completion_tokens": 56, "total_tokens": 401, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 248 | +{"ts": 1793145669.046168, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5ae42da64066098377302d3c9040f10e85d4c42840365c8eee9fbde8da56b231", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6184, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0415, \"cash\": 5.8455, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8455, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.655, 4.6477, 4.6184], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6326, \"target_holdings\": 4.0677}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1933958530426025, "usage": {"prompt_tokens": 431, "completion_tokens": 55, "total_tokens": 486, "prompt_tokens_details": {"cached_tokens": 391}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 249 | +{"ts": 1793145672.9846, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cb9284e3e4e843cb0733f65697afa617b24b01bbddb999d63c67b8140986f1e8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.5993, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0501, \"cash\": 5.9502, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9502, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.655, 4.6477, 4.6184, 4.5993], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6494, \"target_holdings\": 14.298}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5993,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2197070121765137, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 250 | +{"ts": 1793145674.811758, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fbfab4bca52548d763533c76987ce1ea1e94a758f344c21ad5005a8ed58f5b5e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.5993, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0468, \"cash\": 5.904, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.904, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.655, 4.6477, 4.6184, 4.5993], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6429, \"target_holdings\": 12.4456}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5993,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.134167194366455, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 251 | +{"ts": 1793145680.527374, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ba0ae63c98cfa8fb65e276cd865dc662aa68079719051d963629168c438a5d89", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.5825, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 5.963, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.963, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.655, 4.6477, 4.6184, 4.5993, 4.5825], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6323, \"target_holdings\": 14.1886}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5825,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2514517307281494, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 252 | +{"ts": 1793145683.633835, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "af8973885cb89ef0844e486b0ad139fe0acc531a31ba4c22320d8926434af610", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.5825, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0386, \"cash\": 6.0097, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0097, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.655, 4.6477, 4.6184, 4.5993, 4.5825], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.627, \"target_holdings\": 12.6766}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5825,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1933040618896484, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 253 | +{"ts": 1793145693.29359, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "91b85db8c64089584e0bd99395603c3828eeecd1034636113ee1720ab493aeae", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.5741, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0424, \"cash\": 6.0698, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0698, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6477, 4.6184, 4.5993, 4.5825, 4.5741], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6344, \"target_holdings\": 17.1846}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5741,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.172917127609253, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 254 | +{"ts": 1793145693.937123, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "59f43edebbd16255d034756292700f50630ab5d3aa150af3126a6ae41bcef1b8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.5741, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0347, \"cash\": 6.0227, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0227, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6477, 4.6184, 4.5993, 4.5825, 4.5741], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6192, \"target_holdings\": 12.8506}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6433279514312744, "usage": {"prompt_tokens": 352, "completion_tokens": 55, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 255 | +{"ts": 1793145699.0615091, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8ba28dc8acc44b676b21ec8bf9fe38d653cda887d89911e721419159002935fe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.5716, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.0829, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0829, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6184, 4.5993, 4.5825, 4.5741, 4.5716], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6224, \"target_holdings\": 14.4774}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5716,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2326891422271729, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 256 | +{"ts": 1793145701.444583, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8af6eea62a785b5dc381da9a2f618aabad83be73063c3e7b3b0d7fe1fa219efc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.5716, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.04, \"cash\": 6.1305, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1305, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6184, 4.5993, 4.5825, 4.5741, 4.5716], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6296, \"target_holdings\": 16.5522}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5716,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2025442123413086, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 257 | +{"ts": 1793145708.370581, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cdc2bb3acf58c6d3eda51525e3f5f81eb71bdb684ddd8cf719075ce31f051fcc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.5699, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.1918, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1918, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5993, 4.5825, 4.5741, 4.5716, 4.5699], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6486, \"target_holdings\": 22.4454}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6486,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.261159896850586, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 258 | +{"ts": 1793145710.2270248, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c6b2980598bd6f54b56eb629d4346ce1b5f118e35c676d2532ed782d3f508bf6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.5699, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.1437, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1437, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5993, 4.5825, 4.5741, 4.5716, 4.5699], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.645, \"target_holdings\": 21.4191}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5699,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1738579273223877, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 259 | +{"ts": 1793145712.687455, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "427a14a7171b2206c623f1e1db2490b945fcddfd0c80c61f34d52ef4000b49e3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.5792, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0691, \"cash\": 6.2052, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2052, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5825, 4.5741, 4.5716, 4.5699, 4.5792], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6868, \"target_holdings\": 30.6735}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6868,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2920219898223877, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 260 | +{"ts": 1793145719.049747, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8ff54b952879dd3682d3486d0fb7f9fad4b58f16f4084cfdc74057709dba057f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.5792, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0653, \"cash\": 6.2537, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2537, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5825, 4.5741, 4.5716, 4.5699, 4.5792], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6793, \"target_holdings\": 28.5373}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.5792,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1599712371826172, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 261 | +{"ts": 1793145721.5595012, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c8aa0abcb038d699f7c36bb56b3075398723ea62169cb5a8bf074729840f1502", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.5873, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.061, \"cash\": 6.2672, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2672, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5741, 4.5716, 4.5699, 4.5792, 4.5873], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6709, \"target_holdings\": 23.8259}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6939289569854736, "usage": {"prompt_tokens": 350, "completion_tokens": 55, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 262 | +{"ts": 1793145724.703613, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4db4580d648de079d2b30fb63e037c7159d39bb578327a7ce697d2b5daa9d3ba", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.5873, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0589, \"cash\": 6.3163, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3163, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5741, 4.5716, 4.5699, 4.5792, 4.5873], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6667, \"target_holdings\": 22.6312}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.728161096572876, "usage": {"prompt_tokens": 351, "completion_tokens": 55, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 263 | +{"ts": 1793145730.492339, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "34b2ebd27b77020b9959dc934f0837fcf237cd4ebb13356feb46d1129635d964", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6118, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 6.3299, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3299, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5716, 4.5699, 4.5792, 4.5873, 4.6118], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6581, \"target_holdings\": 13.2004}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6118,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.292041301727295, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 264 | +{"ts": 1793145734.872464, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ea72f8de68f271bdc42e836b44bd709aaad68a1230e1bddfada485b7898efad3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6118, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.054, \"cash\": 6.3794, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3794, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5716, 4.5699, 4.5792, 4.5873, 4.6118], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6571, \"target_holdings\": 12.9175}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6118,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1701481342315674, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 265 | +{"ts": 1793145735.966232, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "180c92fb182413b45612bec29df3847e035d6b42aa42d4372a5eede2c72b97e3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.63, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.3932, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3932, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5699, 4.5792, 4.5873, 4.6118, 4.63], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6576, \"target_holdings\": 7.8786}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.093400001525879, "usage": {"prompt_tokens": 436, "completion_tokens": 55, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 266 | +{"ts": 1793145740.9707751, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dd4495f1b84322a26144fe151db37cae82fd51e95de19257a1c9d72ef3425cf5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.63, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.4432, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4432, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5699, 4.5792, 4.5873, 4.6118, 4.63], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6374, \"target_holdings\": 2.1035}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6374,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2745919227600098, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 267 | +{"ts": 1793145745.1523478, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5c11169213cda0c09b2857e67fa32e7fc0c98a783bba59b83e071fe43be78cc9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6512, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0542, \"cash\": 6.4571, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4571, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5792, 4.5873, 4.6118, 4.63, 4.6512], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6575, \"target_holdings\": 1.7885}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.7885,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6575,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.7885, "order_type": "limit", "limit_price": 4.6575, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.637944221496582, "usage": {"prompt_tokens": 351, "completion_tokens": 57, "total_tokens": 408, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 3}} | ||||
| 268 | +{"ts": 1793145745.7305338, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0f6e2abe241f1d4431874c321b30e66f59567cf7920aba04f67afc6f817e2087", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6512, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0415, \"cash\": 6.5076, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5076, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5792, 4.5873, 4.6118, 4.63, 4.6512], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6327, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.577991247177124, "usage": {"prompt_tokens": 350, "completion_tokens": 55, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 3}} | ||||
| 269 | +{"ts": 1793145751.7415118, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c3da5b213daaf5cfde739f2c2680f08cd3637a4aff7a9613da847914eaf0681a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6677, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0443, \"cash\": 6.5727, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5727, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5873, 4.6118, 4.63, 4.6512, 4.6677], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.638, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.668654203414917, "usage": {"prompt_tokens": 349, "completion_tokens": 55, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 3}} | ||||
| 270 | +{"ts": 1793145759.497353, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fd5f677894ef46f850edb205a37e3e37785f85f7f4deb9a8a823c96095716d71", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6677, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0435, \"cash\": 6.5217, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5217, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5873, 4.6118, 4.63, 4.6512, 4.6677], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6365, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6365,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.106755018234253, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 5, "run": 3}} | ||||
| 271 | +{"ts": 1793145759.961747, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a5a44523acbbaebc1be27a0505f72df42414cf270caf3e9223f89b336501223c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6157, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0459, \"cash\": 6.4953, \"holdings\": 0.031, \"loan\": 0.0, \"equity\": 6.6385, \"margin\": 0.5, \"loan_capacity\": 0.0716, \"history\": [4.6118, 4.63, 4.6512, 4.6677, 4.683], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6413, \"target_holdings\": 7.3041}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.46401071548461914, "usage": {"prompt_tokens": 350, "completion_tokens": 52, "total_tokens": 402, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 3}} | ||||
| 272 | +{"ts": 1793145763.207915, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cf611f8a5045f7fc5772005bff70de9479143b55528303cc81250bcce7c282df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6157, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0422, \"cash\": 6.4449, \"holdings\": 0.0308, \"loan\": 0.0, \"equity\": 6.5869, \"margin\": 0.5, \"loan_capacity\": 0.071, \"history\": [4.6118, 4.63, 4.6512, 4.6677, 4.683], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.634, \"target_holdings\": 5.2232}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.6163139343261719, "usage": {"prompt_tokens": 349, "completion_tokens": 52, "total_tokens": 401, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 3}} | ||||
| 273 | +{"ts": 1793145770.83971, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7898068c7a7d5d89bb2fa52dde9c5e50560d36786fb236a94955d51051814ebb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6228, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0524, \"cash\": 6.7043, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7043, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.63, 4.6512, 4.6677, 4.683, 4.6228], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6541, \"target_holdings\": 8.9222}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3282771110534668, "usage": {"prompt_tokens": 436, "completion_tokens": 55, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 2, "run": 3}} | ||||
| 274 | +{"ts": 1793145773.865248, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "51a6758619d5fad92f8f92565589e2da077823a2882bb27af8b261446638a6c9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6228, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0408, \"cash\": 6.6522, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6522, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.63, 4.6512, 4.6677, 4.683, 4.6228], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6313, \"target_holdings\": 2.428}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6313,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2264869213104248, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 5, "run": 3}} | ||||
| 275 | +{"ts": 1793145774.37941, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6ca59b2dfb0f6bef59f4f9d063fe29e202f8dcd7100e556097a3736d870aa1c4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6382, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 6.7713, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7713, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6512, 4.6677, 4.683, 4.6228, 4.6382], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6588, \"target_holdings\": 5.8875}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5138037204742432, "usage": {"prompt_tokens": 351, "completion_tokens": 55, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 3}} | ||||
| 276 | +{"ts": 1793145775.034935, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9bf3eb1d97d2e2c3079c97eacb2bd52a25de134d022c42986f2acb0d53d45746", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6382, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.057, \"cash\": 6.7187, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7187, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6512, 4.6677, 4.683, 4.6228, 4.6382], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.663, \"target_holdings\": 7.0646}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.655318021774292, "usage": {"prompt_tokens": 349, "completion_tokens": 55, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 3}} | ||||
| 277 | +{"ts": 1793145784.297001, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5a3b4101d3d4fdc9f006d445e84d2b1b5855afd9f30e06e47fe7fcbce57a6b83", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6599, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0624, \"cash\": 6.839, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.839, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6677, 4.683, 4.6228, 4.6382, 4.6599], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6735, \"target_holdings\": 3.8675}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6735,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1821601390838623, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 2, "run": 3}} | ||||
| 278 | +{"ts": 1793145785.5200691, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a50a321a520873ca0efcefd0ec910e9aa434872a0f02d0f2077b9a204fc8795f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6599, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0536, \"cash\": 6.7859, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7859, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6677, 4.683, 4.6228, 4.6382, 4.6599], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6563, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2228732109069824, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 5, "run": 3}} | ||||
| 279 | +{"ts": 1793145793.677252, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "faeda6fc1dd0b2b22c3381f79c802ba1bbd572f6f7b7cb18fdb7dd71bbbc7a26", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6672, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.8538, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8538, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.683, 4.6228, 4.6382, 4.6599, 4.6672], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6462, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6672,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2083840370178223, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 5, "run": 3}} | ||||
| 280 | +{"ts": 1793145796.928131, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4255b5157820ae00f0556c980a13f38edde7d3b0795fa044b9c87019c6ac3577", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6672, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.9074, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9074, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.683, 4.6228, 4.6382, 4.6599, 4.6672], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6544, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6675,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6675, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.6181020736694336, "usage": {"prompt_tokens": 350, "completion_tokens": 56, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 3}} | ||||
| 281 | +{"ts": 1793145798.142329, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "108c6204ccef3951eb4aa9c6c1f5c046f1c80a8365d3c6d435c6e5ce5f67a42e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6608, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0544, \"cash\": 6.9223, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9223, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6228, 4.6382, 4.6599, 4.6672, 4.6608], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6579, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6579,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2138218879699707, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 5, "run": 3}} | ||||
| 282 | +{"ts": 1793145802.173769, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b1dccff14a87610ace46d16950fcf3d6a290bdab4f853fcdfadce950e02b90c9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6608, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.049, \"cash\": 6.9765, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9765, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6228, 4.6382, 4.6599, 4.6672, 4.6608], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6473, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6473,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.176898717880249, "usage": {"prompt_tokens": 437, "completion_tokens": 56, "total_tokens": 493, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 2, "run": 3}} | ||||
| 283 | +{"ts": 1793145806.017479, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3f1dd1c2c0a1503191a77e267a17718fbac3572a8b72c09c1776e05071d219cc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6594, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.058, \"cash\": 7.0463, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0463, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6382, 4.6599, 4.6672, 4.6608, 4.6594], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.665, \"target_holdings\": 1.6009}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.6009,\n \"order_type\": \"limit\",\n \"limit_price\": 4.665,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.6009, "order_type": "limit", "limit_price": 4.665, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6997261047363281, "usage": {"prompt_tokens": 350, "completion_tokens": 56, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 3}} | ||||
| 284 | +{"ts": 1793145807.7524369, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8645f029bfa34ce18a9fe237bc73cc6ae71e94b46540f08ba69b613acb972c61", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6594, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 6.9915, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9915, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6382, 4.6599, 4.6672, 4.6608, 4.6594], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6534, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6534,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.076395034790039, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 3}} | ||||
| 285 | +{"ts": 1793145814.1999302, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7700a19e86f474dde43e9751d93fda8bb20fbde9afcb7f8dbaca5efffa507c56", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6518, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.0524, \"cash\": 7.1167, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1167, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6599, 4.6672, 4.6608, 4.6594, 4.6518], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6541, \"target_holdings\": 0.6576}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.6576,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6541,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2106549739837646, "usage": {"prompt_tokens": 439, "completion_tokens": 57, "total_tokens": 496, "prompt_tokens_details": {"cached_tokens": 399}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 2, "run": 3}} | ||||
| 286 | +{"ts": 1793145821.18082, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b5bc9fbee2ff308afd2cb1e70a846f3ef6feb105dc43d8e6a4e2b97d44f11ea9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6518, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 7.0615, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0615, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6599, 4.6672, 4.6608, 4.6594, 4.6518], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6591, \"target_holdings\": 2.0937}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6591,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2844009399414062, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 5, "run": 3}} | ||||
| 287 | +{"ts": 1793145825.365899, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5abb4e1b648fb7ec436b7e286a56792c622c8f2a26d465033f106f0148142570", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6602, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0457, \"cash\": 7.1321, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1321, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6672, 4.6608, 4.6594, 4.6518, 4.6602], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6408, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6602,\n \"borrow\": 0.0,\n \"rationale\": \"No change in portfolio\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2522680759429932, "usage": {"prompt_tokens": 440, "completion_tokens": 58, "total_tokens": 498, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 5, "run": 3}} | ||||
| 288 | +{"ts": 1793145830.353518, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "033509c6274ad08f961292f555c72a30abd41f9aea140d558a3e9d7455c138d9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6602, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 7.1879, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1879, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6672, 4.6608, 4.6594, 4.6518, 4.6602], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6487, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6602,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.21396803855896, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 2, "run": 3}} | ||||
| 289 | +{"ts": 1793145835.079029, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "45e91cc57281b449d8aefe4e69fb4060b60593f9657c2223fb15676357173d6e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6556, \"target_holdings\": 2.8129}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6556,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6556, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6714849472045898, "usage": {"prompt_tokens": 328, "completion_tokens": 57, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 1}} | ||||
| 290 | +{"ts": 1793145836.711908, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "45e91cc57281b449d8aefe4e69fb4060b60593f9657c2223fb15676357173d6e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6556, \"target_holdings\": 2.8129}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6556,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6556, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5095269680023193, "usage": {"prompt_tokens": 328, "completion_tokens": 57, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 327}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 1}} | ||||
| 291 | +{"ts": 1793145841.225049, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8ab8e695e447365bd0d1103daf63d21908d699c0c61922d3d559f910b60f09df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6551, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7903, \"margin\": 0.5, \"loan_capacity\": 2.3276, \"history\": [4.6458, 4.6551], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6683, \"target_holdings\": 3.7382}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.7,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.7, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.6535978317260742, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 1}} | ||||
| 292 | +{"ts": 1793145843.3530612, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8ab8e695e447365bd0d1103daf63d21908d699c0c61922d3d559f910b60f09df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6551, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7903, \"margin\": 0.5, \"loan_capacity\": 2.3276, \"history\": [4.6458, 4.6551], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6683, \"target_holdings\": 3.7382}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.7,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.7, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.573868989944458, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 334}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 293 | +{"ts": 1793145845.021214, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "156df7357fbe5c8c48134f5d2d1043ad59d53109f59ca26254530253bc9cd0bb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6706, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.876, \"margin\": 0.5, \"loan_capacity\": 2.3353, \"history\": [4.6458, 4.6551, 4.6706], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.628, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7176291942596436, "usage": {"prompt_tokens": 338, "completion_tokens": 64, "total_tokens": 402, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 294 | +{"ts": 1793145846.4568331, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "156df7357fbe5c8c48134f5d2d1043ad59d53109f59ca26254530253bc9cd0bb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6706, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.876, \"margin\": 0.5, \"loan_capacity\": 2.3353, \"history\": [4.6458, 4.6551, 4.6706], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.628, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.6062808036804199, "usage": {"prompt_tokens": 338, "completion_tokens": 64, "total_tokens": 402, "prompt_tokens_details": {"cached_tokens": 337}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 295 | +{"ts": 1793145853.035218, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fdf445f7ca1595a4a258e62a5c14ed7969bb3986fd4cc96037949b31d709f370", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.676, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0498, \"cash\": 3.6011, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.9391, \"margin\": 0.5, \"loan_capacity\": 1.169, \"history\": [4.6458, 4.6551, 4.6706, 4.676], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6489, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\"side\": \"sell\", \"quantity\": 0, \"order_type\": \"limit\", \"limit_price\": 4.65, \"borrow\": 0, \"rationale\": \"Target holdings exceeded, sell to meet target\"}", "parsed": {"side": "sell", "quantity": 0, "order_type": "limit", "limit_price": 4.65, "borrow": 0, "rationale": "Target holdings exceeded, sell to meet target"}, "valid": true, "error": "", "cached": false, "latency": 0.5407938957214355, "usage": {"prompt_tokens": 343, "completion_tokens": 49, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 296 | +{"ts": 1793145853.678328, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2a6c7850aef90a87da1ae637099bf124dc0e70ded18d60c126918e7daee01afc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.676, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0498, \"cash\": 3.5956, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.9336, \"margin\": 0.5, \"loan_capacity\": 1.169, \"history\": [4.6458, 4.6551, 4.6706, 4.676], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6489, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\"side\": \"sell\", \"quantity\": 0, \"order_type\": \"limit\", \"limit_price\": 4.65, \"borrow\": 0, \"rationale\": \"Target holdings exceeded, sell to meet target\"}", "parsed": {"side": "sell", "quantity": 0, "order_type": "limit", "limit_price": 4.65, "borrow": 0, "rationale": "Target holdings exceeded, sell to meet target"}, "valid": true, "error": "", "cached": false, "latency": 0.6428959369659424, "usage": {"prompt_tokens": 343, "completion_tokens": 49, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 297 | +{"ts": 1793145858.9222012, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2f47b1538a892c0572b6c28a486ffbbb559377fecd6b4f2e41f90a97046fb2c7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6729, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 3.6647, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 6.0011, \"margin\": 0.5, \"loan_capacity\": 1.1682, \"history\": [4.6458, 4.6551, 4.6706, 4.676, 4.6729], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6636, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.7631199359893799, "usage": {"prompt_tokens": 351, "completion_tokens": 63, "total_tokens": 414, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 298 | +{"ts": 1793145861.381004, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "acd40ee30229a9ecae527bf0d971abc80287e3ad919bd73f0ba68d8c4f948b4a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6729, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 3.6591, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.9956, \"margin\": 0.5, \"loan_capacity\": 1.1682, \"history\": [4.6458, 4.6551, 4.6706, 4.676, 4.6729], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6636, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.711237907409668, "usage": {"prompt_tokens": 351, "completion_tokens": 63, "total_tokens": 414, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 299 | +{"ts": 1793145869.521496, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cd71232a270f985bac0de91343359700693a40049198eb751c9ee0f5d1fec42d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6619, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 4.1882, \"holdings\": 0.4, \"loan\": 0.0, \"equity\": 6.053, \"margin\": 0.5, \"loan_capacity\": 0.9324, \"history\": [4.6551, 4.6706, 4.676, 4.6729, 4.6619], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6506, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.6315069198608398, "usage": {"prompt_tokens": 350, "completion_tokens": 56, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 300 | +{"ts": 1793145871.7308521, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0735704fdf6e1271251e8c6d41a5598584bc35ab8e43e9c63ebcdd83a5bec764", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6619, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 4.1938, \"holdings\": 0.4, \"loan\": 0.0, \"equity\": 6.0586, \"margin\": 0.5, \"loan_capacity\": 0.9324, \"history\": [4.6551, 4.6706, 4.676, 4.6729, 4.6619], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6506, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.7245681285858154, "usage": {"prompt_tokens": 351, "completion_tokens": 63, "total_tokens": 414, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 301 | +{"ts": 1793145878.437331, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9c7905ac076ef255cbed665a375f38791197b67426154db5067bce73961d595d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6438, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 4.7197, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 6.1129, \"margin\": 0.5, \"loan_capacity\": 0.6966, \"history\": [4.6706, 4.676, 4.6729, 4.6619, 4.6438], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6533, \"target_holdings\": 2.7059}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.3,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.3, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.6412701606750488, "usage": {"prompt_tokens": 351, "completion_tokens": 56, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 302 | +{"ts": 1793145879.9746618, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "40988e9db4f1f389cb466f42ee406ffe7f6ac25aa4a658a8733dab3dca3ba4dd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6438, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 4.7141, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 6.1072, \"margin\": 0.5, \"loan_capacity\": 0.6966, \"history\": [4.6706, 4.676, 4.6729, 4.6619, 4.6438], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6533, \"target_holdings\": 2.7059}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.3,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.3, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.6058368682861328, "usage": {"prompt_tokens": 351, "completion_tokens": 56, "total_tokens": 407, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 303 | +{"ts": 1793145888.0622709, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "74ea7c8010ddd228995db17abe90bdf18dcfbc10f5622b2c5ae0e7f4fd2f4963", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6337, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0472, \"cash\": 6.16, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.16, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.676, 4.6729, 4.6619, 4.6438, 4.6337], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6439, \"target_holdings\": 2.8925}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.184554100036621, "usage": {"prompt_tokens": 436, "completion_tokens": 56, "total_tokens": 492, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 304 | +{"ts": 1793145889.218605, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7fd5bf7f1ff31d1e256532cdb3d5c1d8373fcf7f427f93137812af5cdc85dcda", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6337, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0472, \"cash\": 6.1605, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1605, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.676, 4.6729, 4.6619, 4.6438, 4.6337], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6439, \"target_holdings\": 2.8925}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, dividend is low, holding is optimal\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1561400890350342, "usage": {"prompt_tokens": 446, "completion_tokens": 64, "total_tokens": 510, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 305 | +{"ts": 1793145891.579197, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "de09003294b06a1b9966dc0062cb91feb736e2fef7ef8635a8b43805d0aa520b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6416, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.2221, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2221, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6729, 4.6619, 4.6438, 4.6337, 4.6416], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6631, \"target_holdings\": 6.1288}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3888390064239502, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 306 | +{"ts": 1793145893.689756, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ecb1292da609c00240c67de6152453cb396574782ca7c6cff7b92996bcab95db", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6416, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.2216, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2216, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6729, 4.6619, 4.6438, 4.6337, 4.6416], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6631, \"target_holdings\": 6.1288}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1984810829162598, "usage": {"prompt_tokens": 439, "completion_tokens": 56, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 307 | +{"ts": 1793145901.3122518, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "088ac224d71068b1ff45de4e4c0c07653c0db11af8f869fba8a2741213776f8d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6516, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.2843, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2843, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6619, 4.6438, 4.6337, 4.6416, 4.6516], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6576, \"target_holdings\": 1.7045}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.231382131576538, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 308 | +{"ts": 1793145902.52628, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "03492a0e5c6347ad65fdaaf2e8a24e13d34eae3042892e6952f440c81a24580b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6516, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.2839, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2839, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6619, 4.6438, 4.6337, 4.6416, 4.6516], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6576, \"target_holdings\": 1.7045}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2138111591339111, "usage": {"prompt_tokens": 438, "completion_tokens": 56, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 309 | +{"ts": 1793145911.6166961, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8afcc9f2ec5312a840f2edc947d33b017f2ff66cd02c531474ba05f3cd50f20c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6516, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0504, \"cash\": 6.3467, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3467, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6438, 4.6337, 4.6416, 4.6516, 4.6516], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.65, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2671740055084229, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 310 | +{"ts": 1793145914.7282538, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4c9f7211e7c22501cf59f8537c7b75187edae0085195cfebc1a6d88dc7f73797", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6516, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0504, \"cash\": 6.3472, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3472, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6438, 4.6337, 4.6416, 4.6516, 4.6516], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.65, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3704049587249756, "usage": {"prompt_tokens": 442, "completion_tokens": 61, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 311 | +{"ts": 1793145918.581541, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "708518efa49adeb00188ed38e6889e5a94a644d072e19ea01be1d76d68d57051", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6434, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 6.4106, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4107, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6337, 4.6416, 4.6516, 4.6516, 4.6434], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6507, \"target_holdings\": 2.0932}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2604458332061768, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 312 | +{"ts": 1793145919.8408551, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "358cade515e110c551819909fb9d9cc53d3888ed10b67eab4ec360258bc589b0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6434, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 6.4101, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4102, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6337, 4.6416, 4.6516, 4.6516, 4.6434], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6507, \"target_holdings\": 2.0932}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2591030597686768, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 313 | +{"ts": 1793145931.000741, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cc52ff2c7319afe000af7db586041330c61006d5b5b2283e0263074b71eadbb3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6325, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.044, \"cash\": 6.4747, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4748, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6416, 4.6516, 4.6516, 4.6434, 4.6325], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6375, \"target_holdings\": 1.4151}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3917407989501953, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 314 | +{"ts": 1793145933.1413708, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "04defce31f5fdc901e769a8770c5996ed303834d37f4147bb1a49568f77c4689", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6325, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.044, \"cash\": 6.4742, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4743, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6416, 4.6516, 4.6516, 4.6434, 4.6325], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6375, \"target_holdings\": 1.4151}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.208014965057373, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 315 | +{"ts": 1793145934.465879, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4e02ccfa8d8848f9c44954fc1b388b48c909a3506a66bcf942f982d49b13211b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6347, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.539, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.539, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6516, 4.6516, 4.6434, 4.6325, 4.6347], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6294, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.324141025543213, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 316 | +{"ts": 1793145938.811881, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "905cef42c6c7435de5cb158bd19f27236125b552acd01b30106d203d77032c69", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6347, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.5395, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5395, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6516, 4.6516, 4.6434, 4.6325, 4.6347], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6294, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2438459396362305, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 317 | +{"ts": 1793145942.870646, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b1d82bdd0dcdd308639442f7c87ccddc0f7eccd8764961b1b17a54ad9716b5a8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6276, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 6.6044, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6044, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6516, 4.6434, 4.6325, 4.6347, 4.6276], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6529, \"target_holdings\": 7.2285}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2246639728546143, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 318 | +{"ts": 1793145947.7284212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5a018ff2670abf1dbfdd669d4b8e2c2feff35560dc6d6d82e48cd8fc85742ec3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6276, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 6.6049, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6049, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6516, 4.6434, 4.6325, 4.6347, 4.6276], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6529, \"target_holdings\": 7.2285}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is high enough to justify holding.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3443388938903809, "usage": {"prompt_tokens": 448, "completion_tokens": 59, "total_tokens": 507, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 319 | +{"ts": 1793145950.961759, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ac68c6eea95fb7d8d1ed5f51978e3a52519e4022f1b44ccae90d80e9a2476dfd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6085, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 6.6709, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.671, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6434, 4.6325, 4.6347, 4.6276, 4.6085], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6511, \"target_holdings\": 12.1405}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.231264591217041, "usage": {"prompt_tokens": 443, "completion_tokens": 56, "total_tokens": 499, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 320 | +{"ts": 1793145957.047286, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "aaa14454d3ced5a1c27e8c292b1ca94390b65d0ecb768bab38a0adba8deecb14", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6085, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 6.6704, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6704, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6434, 4.6325, 4.6347, 4.6276, 4.6085], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6511, \"target_holdings\": 12.1405}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.254960060119629, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 321 | +{"ts": 1793145959.1880782, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "19b93a7abe26bea5a8e18b2544ae86ddd3669d11dfe065c5cad182b85e7c86fd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6119, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.7371, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7371, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6325, 4.6347, 4.6276, 4.6085, 4.6119], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.648, \"target_holdings\": 10.2837}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1758179664611816, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 322 | +{"ts": 1793145960.199291, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8140f735055c160c7f21c73e2f09b78bc8a3f6524b385cda997823ae01df1e7c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6119, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.7376, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7377, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6325, 4.6347, 4.6276, 4.6085, 4.6119], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.648, \"target_holdings\": 10.2837}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0110208988189697, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 323 | +{"ts": 1793145970.3528588, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "64b7cc798720369649e2170088c4a6575915f02d1ac0eab2de296fb68caad8dc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6338, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.8045, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8045, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6347, 4.6276, 4.6085, 4.6119, 4.6338], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6224, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2570812702178955, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 324 | +{"ts": 1793145974.382817, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "de9dbb54d2f6d7c503be5e94b4cc5cc309efd58da0b058238dea64b022348be0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6338, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.805, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.805, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6347, 4.6276, 4.6085, 4.6119, 4.6338], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6224, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"No change in holdings to maintain moderate risk\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3922078609466553, "usage": {"prompt_tokens": 441, "completion_tokens": 61, "total_tokens": 502, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 325 | +{"ts": 1793145979.795261, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cbb2f415c6457b9450ba10f140e368c42a5ae318d02385757fe0331f75175eab", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6296, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 6.8725, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8726, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6276, 4.6085, 4.6119, 4.6338, 4.6296], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6508, \"target_holdings\": 6.0305}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to adjust holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2260560989379883, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 326 | +{"ts": 1793145983.1838112, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b36d72f0eac3a1d857c501466191f89f5d8947877c8bd9eab4a240655c0b5bc8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6296, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 6.8731, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8731, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6276, 4.6085, 4.6119, 4.6338, 4.6296], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6508, \"target_holdings\": 6.0305}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to adjust holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2428131103515625, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 327 | +{"ts": 1793145986.5286899, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "db8b78aa166627ffb586708c49c57f426a996735818186ec87052e7c693ae6a6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6161, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.9413, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9413, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6085, 4.6119, 4.6338, 4.6296, 4.6161], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6378, \"target_holdings\": 6.1755}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1289029121398926, "usage": {"prompt_tokens": 443, "completion_tokens": 55, "total_tokens": 498, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 328 | +{"ts": 1793145987.6693702, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8354709cabfbe0f3d2f75cc435019ba2394cc529914bb264c3c0b26cb798a4dc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6161, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.9418, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9418, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6085, 4.6119, 4.6338, 4.6296, 4.6161], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6378, \"target_holdings\": 6.1755}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.140455961227417, "usage": {"prompt_tokens": 443, "completion_tokens": 55, "total_tokens": 498, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 329 | +{"ts": 1793145994.485346, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6cd136fa5e869d78fba88d8f5905c9bb96a5c61e6226d0a6fae443d4a33ed026", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6227, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 7.0107, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0107, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6119, 4.6338, 4.6296, 4.6161, 4.6227], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6295, \"target_holdings\": 1.9308}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, holding is optimal\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.188560962677002, "usage": {"prompt_tokens": 447, "completion_tokens": 58, "total_tokens": 505, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 330 | +{"ts": 1793146000.815702, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "26bed1a4536c77b66e1414f2ce225aeb7e39e3eafd4cb8aaec867fffcace7ca0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6227, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 7.0112, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0112, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6119, 4.6338, 4.6296, 4.6161, 4.6227], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6295, \"target_holdings\": 1.9308}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.221235990524292, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 331 | +{"ts": 1793146002.1137211, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a94f65f256ef55cce7bee518963cf585457fd54f82409f9188c759ccf9d5d073", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6398, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0606, \"cash\": 7.0808, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0808, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6338, 4.6296, 4.6161, 4.6227, 4.6398], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.67, \"target_holdings\": 8.6234}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is high enough to justify holding\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.297652006149292, "usage": {"prompt_tokens": 446, "completion_tokens": 58, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 332 | +{"ts": 1793146003.276883, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2297844a25d1d72c93f72ec54e1bd473350657f91404b6888ee0f62451d8363a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6398, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0606, \"cash\": 7.0813, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0813, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6338, 4.6296, 4.6161, 4.6227, 4.6398], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.67, \"target_holdings\": 8.6234}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is high enough to justify holding\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1629629135131836, "usage": {"prompt_tokens": 446, "completion_tokens": 58, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 333 | +{"ts": 1793146011.193814, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "438dd714633c7737409d66e56d1aaba71109cf06da42d17bc10ec86fedad757a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6593, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.062, \"cash\": 7.1521, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1522, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6296, 4.6161, 4.6227, 4.6398, 4.6593], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6728, \"target_holdings\": 3.8512}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2640140056610107, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 334 | +{"ts": 1793146012.335008, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ebf7bf70cd8cb7e4877c2c55aac22cdbbffe525763950efb649c5b748ce02e27", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6593, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.062, \"cash\": 7.1516, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1516, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6296, 4.6161, 4.6227, 4.6398, 4.6593], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6728, \"target_holdings\": 3.8512}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1409931182861328, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 335 | +{"ts": 1793146026.006896, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2abd659d60a7409b6cd5345452b2d5fd8fc3c270d1eb7ac6e31c80d4d98ac610", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6774, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0373, \"cash\": 7.2237, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.2237, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6161, 4.6227, 4.6398, 4.6593, 4.6774], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6244, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.270745038986206, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 336 | +{"ts": 1793146027.223, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4c585317ae7afeba12583734521fcde6d75c8199a66bb1d87c44abe5e7fae1df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6774, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0373, \"cash\": 7.2231, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.2231, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6161, 4.6227, 4.6398, 4.6593, 4.6774], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6244, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2159018516540527, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 337 | +{"ts": 1793146031.649368, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "86f32ad300699d54ddf3cc53580fc52d244470942e249181150ff09b01ccf5cd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6382, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6382,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6382, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.714724063873291, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 338 | +{"ts": 1793146033.654455, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "86f32ad300699d54ddf3cc53580fc52d244470942e249181150ff09b01ccf5cd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6382, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6382,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6382, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.5873451232910156, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 327}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 339 | +{"ts": 1793146034.2239559, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "83a980746a972c7a7f5e54ea467f3506f809f7f64835d230bd9828f2e3bf409d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.638, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0374, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7572, \"margin\": 0.5, \"loan_capacity\": 2.319, \"history\": [4.6458, 4.638], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6245, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding the current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding is 0, so holding the current price"}, "valid": true, "error": "", "cached": false, "latency": 0.569127082824707, "usage": {"prompt_tokens": 331, "completion_tokens": 64, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 340 | +{"ts": 1793146034.784765, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "83a980746a972c7a7f5e54ea467f3506f809f7f64835d230bd9828f2e3bf409d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.638, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0374, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7572, \"margin\": 0.5, \"loan_capacity\": 2.319, \"history\": [4.6458, 4.638], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6245, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding the current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding is 0, so holding the current price"}, "valid": true, "error": "", "cached": false, "latency": 0.5606131553649902, "usage": {"prompt_tokens": 331, "completion_tokens": 64, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 330}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 341 | +{"ts": 1793146044.607522, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "41cb87b93b63aa737b80f532c7551cf99cb114d19276762de627462beb17605e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6209, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0318, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7955, \"margin\": 0.5, \"loan_capacity\": 2.3104, \"history\": [4.6458, 4.638, 4.6209], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6136, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.730414867401123, "usage": {"prompt_tokens": 339, "completion_tokens": 64, "total_tokens": 403, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 342 | +{"ts": 1793146046.095681, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "41cb87b93b63aa737b80f532c7551cf99cb114d19276762de627462beb17605e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6209, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0318, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7955, \"margin\": 0.5, \"loan_capacity\": 2.3104, \"history\": [4.6458, 4.638, 4.6209], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6136, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.6499519348144531, "usage": {"prompt_tokens": 339, "completion_tokens": 64, "total_tokens": 403, "prompt_tokens_details": {"cached_tokens": 338}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 343 | +{"ts": 1793146053.568075, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0d5d92eccd0dee4e3a53b6a5af16718d6813ae42d820c869f4b8fbfb97efe3da", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6111, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.83, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.83, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.638, 4.6209, 4.6111], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6459, \"target_holdings\": 9.9112}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3683829307556152, "usage": {"prompt_tokens": 435, "completion_tokens": 55, "total_tokens": 490, "prompt_tokens_details": {"cached_tokens": 389}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 344 | +{"ts": 1793146057.131882, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1eac1a70f71b49872473f67de164f75de157e5a9e7b3e18ef85631abdcb57b67", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6111, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.8425, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8425, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.638, 4.6209, 4.6111], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6459, \"target_holdings\": 9.9112}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2862458229064941, "usage": {"prompt_tokens": 432, "completion_tokens": 56, "total_tokens": 488, "prompt_tokens_details": {"cached_tokens": 391}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 345 | +{"ts": 1793146061.3149061, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a77d37272f34d51c58aa28c3e38a6190ffe8b80efab1eb6738e7a41a42fbb2d7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6201, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0594, \"cash\": 5.8883, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8883, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.638, 4.6209, 4.6111, 4.6201], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6676, \"target_holdings\": 13.5508}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2970550060272217, "usage": {"prompt_tokens": 439, "completion_tokens": 57, "total_tokens": 496, "prompt_tokens_details": {"cached_tokens": 391}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 346 | +{"ts": 1793146063.685235, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f22d474e9e16c4285f7689c5c52f0a21ca06892f7d5cd55e5ccde96d763b5534", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6201, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0594, \"cash\": 5.9009, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9009, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.638, 4.6209, 4.6111, 4.6201], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6676, \"target_holdings\": 13.5508}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is high enough to justify holding.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4386541843414307, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 347 | +{"ts": 1793146068.032098, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "811a5cc1702b2aa51036eb0edd191087b746f9015bf53979081311b973472bfc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.619, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0656, \"cash\": 5.9472, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9472, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.638, 4.6209, 4.6111, 4.6201, 4.619], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6798, \"target_holdings\": 17.3191}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4919400215148926, "usage": {"prompt_tokens": 443, "completion_tokens": 57, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 348 | +{"ts": 1793146072.5744681, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1d4c3348ba03bf8c408ccad0f84fa2208b08390289c6493cd9044c8e83b01767", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.619, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0656, \"cash\": 5.9599, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9599, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.638, 4.6209, 4.6111, 4.6201, 4.619], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6798, \"target_holdings\": 17.3191}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2648930549621582, "usage": {"prompt_tokens": 443, "completion_tokens": 57, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 349 | +{"ts": 1793146077.024956, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6e9a40421f8897bf36b3354aa98cc7218ffb1a106e74a9e4c56da464fbe140f8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6264, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0665, \"cash\": 6.0195, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0195, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6209, 4.6111, 4.6201, 4.619, 4.6264], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6815, \"target_holdings\": 15.7256}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is high enough to justify holding.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4879732131958008, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 350 | +{"ts": 1793146082.7921019, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8307badb68d47252363f06df21d264c7b3edb330d13d0e4b52324f45a4ec56b9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6264, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0665, \"cash\": 6.0066, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0066, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6209, 4.6111, 4.6201, 4.619, 4.6264], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6815, \"target_holdings\": 15.7256}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is high enough to justify holding.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4527192115783691, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 351 | +{"ts": 1793146088.163315, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6afeed88d7d7d809ddeacb545282cf5fec1e20a5ae58a590edf0a80cd1d61c00", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6365, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0608, \"cash\": 6.0667, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0667, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6111, 4.6201, 4.619, 4.6264, 4.6365], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6705, \"target_holdings\": 9.6886}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is close to the current price\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4629642963409424, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 352 | +{"ts": 1793146089.6079319, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "74edd097ec268cbdbe5e8d9d73b79174e6004f590548d5244667245489b58a1c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6365, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0608, \"cash\": 6.0797, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0797, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6111, 4.6201, 4.619, 4.6264, 4.6365], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6705, \"target_holdings\": 9.6886}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is close to the current price\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4444270133972168, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 353 | +{"ts": 1793146101.1797602, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8ed7a3d51e78c8691b1851be4326ac99f437a6389ae153e01a1f50e8325e7881", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6365, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0475, \"cash\": 6.1405, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1405, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6201, 4.619, 4.6264, 4.6365, 4.6365], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6444, \"target_holdings\": 2.2614}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2158069610595703, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 354 | +{"ts": 1793146103.523768, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "858e7a692c5d12cc82cab0fc74be422825cb2af5aeebbac6f20d99ca4d306cc0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6365, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0475, \"cash\": 6.1274, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1274, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6201, 4.619, 4.6264, 4.6365, 4.6365], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6444, \"target_holdings\": 2.2614}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2765390872955322, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 355 | +{"ts": 1793146105.773932, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f481cd91ffbed3390e2c55299d44fe56eb231312bca13159a48d4dd147aea0a8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6365, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0595, \"cash\": 6.2019, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2019, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.619, 4.6264, 4.6365, 4.6365, 4.6365], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.668, \"target_holdings\": 8.9761}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to adjust holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2734358310699463, "usage": {"prompt_tokens": 443, "completion_tokens": 56, "total_tokens": 499, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 356 | +{"ts": 1793146107.040639, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "09ab05a77478ad0751e1d88f15da3dbb64bcb0e9763ddfc25c4f78a0b51125c1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6365, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0595, \"cash\": 6.1887, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1887, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.619, 4.6264, 4.6365, 4.6365, 4.6365], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.668, \"target_holdings\": 8.9761}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.266507625579834, "usage": {"prompt_tokens": 442, "completion_tokens": 55, "total_tokens": 497, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 357 | +{"ts": 1793146116.493341, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "aecc6af7b5c4387bb99a243381eb5388294df26079e0df67b9e11b2c763c239e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.658, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.2505, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2505, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6264, 4.6365, 4.6365, 4.6365, 4.658], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6352, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3005850315093994, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 358 | +{"ts": 1793146122.027779, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2ba5a9474bcdb9e5f1912e9009cc1ae8216b516b62a922ebf09abfcbd7b15dc8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.658, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.2639, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2639, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6264, 4.6365, 4.6365, 4.6365, 4.658], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6352, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3936200141906738, "usage": {"prompt_tokens": 444, "completion_tokens": 64, "total_tokens": 508, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 359 | +{"ts": 1793146129.4839108, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "caa5b9f61d7399852098e5c175cfb82df365cb7a7154f5ace62f79d94ad3b296", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.5179, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.011, \"holdings\": 0.0665, \"loan\": 0.0, \"equity\": 6.3113, \"margin\": 0.5, \"loan_capacity\": 0.1501, \"history\": [4.6365, 4.6365, 4.6365, 4.658, 4.658], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6463, \"target_holdings\": 36.5947}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holding is above current holdings, sell to reduce holdings and free up cash for borrowing if needed.\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holding is above current holdings, sell to reduce holdings and free up cash for borrowing if needed."}, "valid": true, "error": "", "cached": false, "latency": 0.7233011722564697, "usage": {"prompt_tokens": 351, "completion_tokens": 68, "total_tokens": 419, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 360 | +{"ts": 1793146130.3074691, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ef239c701204540dfb37d7a989c20d7ac50ecafe64c40c9633cfe8eeca8ad15d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.5179, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.0239, \"holdings\": 0.0666, \"loan\": 0.0, \"equity\": 6.3248, \"margin\": 0.5, \"loan_capacity\": 0.1504, \"history\": [4.6365, 4.6365, 4.6365, 4.658, 4.658], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6463, \"target_holdings\": 36.5947}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holding is too high, sell to reduce holdings and free up cash for borrowing if needed.\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holding is too high, sell to reduce holdings and free up cash for borrowing if needed."}, "valid": true, "error": "", "cached": false, "latency": 0.8233458995819092, "usage": {"prompt_tokens": 352, "completion_tokens": 67, "total_tokens": 419, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 361 | +{"ts": 1793146134.4152498, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "579468f4aa3878e788e180c5067dc180bd0ffc163ecc0a3796dc672f535c41db", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.5019, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0393, \"cash\": 6.3058, \"holdings\": 0.018, \"loan\": 0.0, \"equity\": 6.3868, \"margin\": 0.5, \"loan_capacity\": 0.0405, \"history\": [4.6365, 4.6365, 4.658, 4.658, 4.5019], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6283, \"target_holdings\": 36.0477}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7658340930938721, "usage": {"prompt_tokens": 351, "completion_tokens": 60, "total_tokens": 411, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 362 | +{"ts": 1793146136.656805, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b852dbd7be4ef64ddd825627c21f5c9d39e56765165e0465284912d06f61c030", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.5019, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0393, \"cash\": 6.373, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.373, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6365, 4.6365, 4.658, 4.658, 4.5019], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6283, \"target_holdings\": 36.0477}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.229733943939209, "usage": {"prompt_tokens": 435, "completion_tokens": 56, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 363 | +{"ts": 1793146141.105147, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "898d2c362d35809de0245af1f5a29f34c6d510e3f7931e34c53b8149e16a8f3d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.4885, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.4368, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4368, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6365, 4.658, 4.658, 4.5019, 4.4885], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6373, \"target_holdings\": 42.411}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2661728858947754, "usage": {"prompt_tokens": 437, "completion_tokens": 57, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 389}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 364 | +{"ts": 1793146148.664062, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "497318e2113c493f156cb00a90824fd00893f00ea304c5c34640f7ba0697172d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.4885, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.3696, \"holdings\": 0.018, \"loan\": 0.0, \"equity\": 6.4504, \"margin\": 0.5, \"loan_capacity\": 0.0404, \"history\": [4.6365, 4.658, 4.658, 4.5019, 4.4885], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6373, \"target_holdings\": 42.411}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holding is above current holdings, sell to reduce holdings and free up cash for borrowing if needed.\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holding is above current holdings, sell to reduce holdings and free up cash for borrowing if needed."}, "valid": true, "error": "", "cached": false, "latency": 0.7674839496612549, "usage": {"prompt_tokens": 350, "completion_tokens": 68, "total_tokens": 418, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 365 | +{"ts": 1793146153.255488, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "07c568c8afa4f8e06b2bae41cd5ae8deac55a6c723bc9e844faa387480849fe3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4766, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.515, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.515, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.658, 4.658, 4.5019, 4.4885, 4.4766], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6352, \"target_holdings\": 45.2217}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1671338081359863, "usage": {"prompt_tokens": 435, "completion_tokens": 50, "total_tokens": 485, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 366 | +{"ts": 1793146156.408009, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3781f2797477a2513737c34d969007286db9fd636ea35fb4462076038f877230", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4766, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.5011, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5011, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.658, 4.658, 4.5019, 4.4885, 4.4766], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6352, \"target_holdings\": 45.2217}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.339505910873413, "usage": {"prompt_tokens": 438, "completion_tokens": 57, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 390}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 367 | +{"ts": 1793146160.565815, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c1b09353426ad9efa0df67627fc9651dc17aace8b15afe37a1084c2a42904b1a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4661, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 6.5802, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5802, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.658, 4.5019, 4.4885, 4.4766, 4.4661], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6609, \"target_holdings\": 55.5521}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no action needed\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.224329948425293, "usage": {"prompt_tokens": 440, "completion_tokens": 54, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 368 | +{"ts": 1793146161.09263, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e2c4106e14da3f4d8d214a5bdb96cd0d0d7bcb1f1307111efec001d351e4578f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4661, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 6.5661, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5661, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.658, 4.5019, 4.4885, 4.4766, 4.4661], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6609, \"target_holdings\": 55.5521}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holding is too high, sell to reduce exposure\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holding is too high, sell to reduce exposure"}, "valid": true, "error": "", "cached": false, "latency": 0.526616096496582, "usage": {"prompt_tokens": 349, "completion_tokens": 59, "total_tokens": 408, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 369 | +{"ts": 1793146161.6104162, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "63fda0845f2716596ccb755f67869c740476802749bd8fd94c416809e12a06e4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6552, \"target_holdings\": 2.7003}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.610673189163208, "usage": {"prompt_tokens": 309, "completion_tokens": 61, "total_tokens": 370, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 1}} | ||||
| 370 | +{"ts": 1793146164.21997, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fe8f0af81e7a92b5968b3ccf626cfdb724d570f04eedd89465400d43f98bd876", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.054, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6533, \"target_holdings\": 2.1407}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.6550819873809814, "usage": {"prompt_tokens": 309, "completion_tokens": 61, "total_tokens": 370, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 1}} | ||||
| 371 | +{"ts": 1793146168.344052, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "98759bf9507e9a90a039ea688e85551875f5dd3c0fd6c93fd58f40aaa1b1be8e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6527, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0558, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7879, \"margin\": 0.5, \"loan_capacity\": 2.3263, \"history\": [4.6458, 4.6527], \"own_valuation\": 4.655, \"target_holdings\": 0.6514}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.655,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.655, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6161971092224121, "usage": {"prompt_tokens": 316, "completion_tokens": 56, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 1}} | ||||
| 372 | +{"ts": 1793146170.403085, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "63d183399a24bc13f6f483849a6d42ee3cc625780f6fc7b665c6272f77fda462", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.4553, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.048, \"cash\": 6.6318, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6318, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5019, 4.4885, 4.4766, 4.4661, 4.4553], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6453, \"target_holdings\": 54.1606}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.028223991394043, "usage": {"prompt_tokens": 439, "completion_tokens": 57, "total_tokens": 496, "prompt_tokens_details": {"cached_tokens": 391}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 373 | +{"ts": 1793146170.751552, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5557dbf65969a05e41836ba46f9d6916c2a51fbfafcc43d0481ed97ea82605b8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6527, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7879, \"margin\": 0.5, \"loan_capacity\": 2.3263, \"history\": [4.6458, 4.6527], \"own_valuation\": 4.6511, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6511,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding price reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6511, "borrow": 0.0, "rationale": "Target holding price reached"}, "valid": true, "error": "", "cached": false, "latency": 0.587899923324585, "usage": {"prompt_tokens": 316, "completion_tokens": 58, "total_tokens": 374, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 374 | +{"ts": 1793146171.4616508, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d772742e25a6eff9ae500a6444f061c2313f9c876500bc653adce683a0e45075", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.4553, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.048, \"cash\": 6.646, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.646, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5019, 4.4885, 4.4766, 4.4661, 4.4553], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6453, \"target_holdings\": 54.1606}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0583720207214355, "usage": {"prompt_tokens": 437, "completion_tokens": 57, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 389}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 375 | +{"ts": 1793146172.148129, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "14e5a5021c0fcab8fa5f15fe9558fea25a9f3755d4fee5fc20773cbceee15da6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6543, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8596, \"margin\": 0.5, \"loan_capacity\": 2.3271, \"history\": [4.6458, 4.6527, 4.6543], \"own_valuation\": 4.6543, \"target_holdings\": 0.001}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.42377185821533203, "usage": {"prompt_tokens": 321, "completion_tokens": 57, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 376 | +{"ts": 1793146173.734105, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c4d12a6197703fc1806fe4915f6065db324bf3114e5bc156b8786fc43e1c5a6c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6543, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8596, \"margin\": 0.5, \"loan_capacity\": 2.3271, \"history\": [4.6458, 4.6527, 4.6543], \"own_valuation\": 4.6475, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7609190940856934, "usage": {"prompt_tokens": 322, "completion_tokens": 64, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 377 | +{"ts": 1793146175.679775, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "902bafe54d433d0f165f9efd2fe4e81472ea14b68fffd06b19da0c4f5a497cec", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.4935, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.6981, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6981, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4885, 4.4766, 4.4661, 4.4553, 4.4935], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.649, \"target_holdings\": 44.319}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.7852737903594971, "usage": {"prompt_tokens": 438, "completion_tokens": 57, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 390}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 378 | +{"ts": 1793146179.2615838, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1cf14a6923cd8fe47a62d714b1a014c4478772201da4af8596e7043707270983", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.4935, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.7124, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7124, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4885, 4.4766, 4.4661, 4.4553, 4.4935], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.649, \"target_holdings\": 44.319}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.047785997390747, "usage": {"prompt_tokens": 438, "completion_tokens": 57, "total_tokens": 495, "prompt_tokens_details": {"cached_tokens": 390}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 379 | +{"ts": 1793146182.0100338, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6719fb77da7bf259972b7df28b6d15688dc5f6a11438440c63705ac0ff6db631", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6496, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0434, \"cash\": 1.7228, \"holdings\": 0.9, \"loan\": 0.0, \"equity\": 5.9074, \"margin\": 0.5, \"loan_capacity\": 2.0923, \"history\": [4.6458, 4.6527, 4.6543, 4.6496], \"own_valuation\": 4.6428, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is too high and dividend is too high\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding is too high and dividend is too high"}, "valid": true, "error": "", "cached": false, "latency": 0.46852588653564453, "usage": {"prompt_tokens": 328, "completion_tokens": 63, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 380 | +{"ts": 1793146182.409225, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f613ea400b09caf9e2bacda94f7bee43432abf80d5b206b0c4d5f02eeda2dbde", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6496, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 3.5853, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.9102, \"margin\": 0.5, \"loan_capacity\": 1.1624, \"history\": [4.6458, 4.6527, 4.6543, 4.6496], \"own_valuation\": 4.6454, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.3989887237548828, "usage": {"prompt_tokens": 328, "completion_tokens": 60, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 381 | +{"ts": 1793146187.3756511, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a11e64a52220b20d1ea815bafded183cddf221df7930df843566693787af5f49", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6416, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 2.2522, \"holdings\": 0.8, \"loan\": 0.0, \"equity\": 5.9655, \"margin\": 0.5, \"loan_capacity\": 1.8566, \"history\": [4.6458, 4.6527, 4.6543, 4.6496, 4.6416], \"own_valuation\": 4.6573, \"target_holdings\": 4.4785}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.726280927658081, "usage": {"prompt_tokens": 335, "completion_tokens": 63, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 382 | +{"ts": 1793146188.625149, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e9afb5c6594e080082c285f3531151891e2bf1f88f3ee4cf724ad7dc5b241a0c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5026, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.7795, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7796, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4766, 4.4661, 4.4553, 4.4935, 4.5026], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6413, \"target_holdings\": 39.5585}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1379902362823486, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 383 | +{"ts": 1793146189.8543549, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fdc4377a50fe9cc3f95e41abbac0ffdfd063bf6932eec5fe334d5078d0565dcc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6416, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0562, \"cash\": 5.9665, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9665, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6527, 4.6543, 4.6496, 4.6416], \"own_valuation\": 4.6554, \"target_holdings\": 3.9533}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4124457836151123, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 384 | +{"ts": 1793146190.808565, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "23e55b8ebf48b096d6ab865d7633dd00ea253748ce2be781ccdf93d6759cc984", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5026, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.7651, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7651, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4766, 4.4661, 4.4553, 4.4935, 4.5026], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6413, \"target_holdings\": 39.5585}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.3154819011688232, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 385 | +{"ts": 1793146194.74947, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5ebd60499c691ef30ca9374a7790ae891a2e07325ce739672790bea4c07c9450", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5121, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 6.8473, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8474, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4661, 4.4553, 4.4935, 4.5026, 4.5121], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6468, \"target_holdings\": 38.3945}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is high enough to justify holding\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2549481391906738, "usage": {"prompt_tokens": 447, "completion_tokens": 58, "total_tokens": 505, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 386 | +{"ts": 1793146198.931115, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4ddfd9ea5558f5c48e60afb58d52172be988b533f58494b4e651155b4a7066df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6336, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 2.7816, \"holdings\": 0.7, \"loan\": 0.0, \"equity\": 6.0251, \"margin\": 0.5, \"loan_capacity\": 1.6218, \"history\": [4.6527, 4.6543, 4.6496, 4.6416, 4.6336], \"own_valuation\": 4.6511, \"target_holdings\": 4.9977}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.65, "borrow": 0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5457727909088135, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 387 | +{"ts": 1793146199.415444, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3d470e572f23220f9011f214b74fcf8fddb72464cf9969c04be0442be8129166", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6336, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0559, \"cash\": 6.0261, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0261, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6527, 4.6543, 4.6496, 4.6416, 4.6336], \"own_valuation\": 4.6551, \"target_holdings\": 6.1335}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6551,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6551, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.48407769203186035, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 388 | +{"ts": 1793146200.791121, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f0b8d51d01426331163477f2674cede325bc4b2760fb56ae29704303981f3e15", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5121, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 6.8327, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8327, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4661, 4.4553, 4.4935, 4.5026, 4.5121], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6468, \"target_holdings\": 38.3945}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is high enough to justify holding\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.588202953338623, "usage": {"prompt_tokens": 447, "completion_tokens": 58, "total_tokens": 505, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 389 | +{"ts": 1793146202.18334, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c2e25c6a25e2508f1a33422c6d7ecd533814ca3246f1ea861e7b7a35d0642a53", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6336, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0476, \"cash\": 2.8434, \"holdings\": 0.7, \"loan\": 0.0, \"equity\": 6.0869, \"margin\": 0.5, \"loan_capacity\": 1.6218, \"history\": [4.6543, 4.6496, 4.6416, 4.6336, 4.6336], \"own_valuation\": 4.6469, \"target_holdings\": 3.7948}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.7221400737762451, "usage": {"prompt_tokens": 334, "completion_tokens": 62, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 390 | +{"ts": 1793146206.234644, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "eaf1d0fb07867baeb743775a246affe55918042b210bcde267c63ce9c211bfe7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.525, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.9011, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9011, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4553, 4.4935, 4.5026, 4.5121, 4.525], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6463, \"target_holdings\": 34.5615}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2130157947540283, "usage": {"prompt_tokens": 443, "completion_tokens": 56, "total_tokens": 499, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 391 | +{"ts": 1793146206.877683, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c6d3879786e75f6e9ee44b20392557f58e54678ae3180255d382c76c8860ebfb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6336, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0454, \"cash\": 6.0864, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0864, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6543, 4.6496, 4.6416, 4.6336, 4.6336], \"own_valuation\": 4.6447, \"target_holdings\": 3.1682}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8744308948516846, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 392 | +{"ts": 1793146213.066039, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "948c8d96e40a1b0093ba0ae5aa1778db46cdbb77af958e9ad232194d239f07d7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.525, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.9158, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9158, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4553, 4.4935, 4.5026, 4.5121, 4.525], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6463, \"target_holdings\": 34.5615}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.149549961090088, "usage": {"prompt_tokens": 443, "completion_tokens": 56, "total_tokens": 499, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 393 | +{"ts": 1793146216.169473, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a2feac8cbe6a6c6ac2bbf857803b91e89febe286dae5894bcc42729b7f1fb36b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6402, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0574, \"cash\": 3.3727, \"holdings\": 0.6, \"loan\": 0.0, \"equity\": 6.1568, \"margin\": 0.5, \"loan_capacity\": 1.392, \"history\": [4.6496, 4.6416, 4.6336, 4.6336, 4.6402], \"own_valuation\": 4.6565, \"target_holdings\": 4.6747}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.5145318508148193, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 394 | +{"ts": 1793146216.603117, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ce1a85b98327b4f1d9a7f78da922efb746b6df7787bc0ce24d309485b068e871", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6402, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0542, \"cash\": 6.1473, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1473, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6496, 4.6416, 4.6336, 4.6336, 4.6402], \"own_valuation\": 4.6534, \"target_holdings\": 3.7723}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6534,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6534, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43344998359680176, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 395 | +{"ts": 1793146217.934286, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "854643cbdae785e802f28b079c13dcfdb0669cbb73e61aa2d1342e19aabb5784", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.652, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 6.2087, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2087, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6416, 4.6336, 4.6336, 4.6402, 4.652], \"own_valuation\": 4.6542, \"target_holdings\": 0.6149}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.6149,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6542,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.6149, "order_type": "limit", "limit_price": 4.6542, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.47647786140441895, "usage": {"prompt_tokens": 332, "completion_tokens": 58, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 396 | +{"ts": 1793146219.2508318, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "221c935aa88caf62e27d8299d2b3a5fb79d1b15d4ee07abad847142bc03f41ad", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.652, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0531, \"cash\": 3.4404, \"holdings\": 0.6, \"loan\": 0.0, \"equity\": 6.2316, \"margin\": 0.5, \"loan_capacity\": 1.3956, \"history\": [4.6416, 4.6336, 4.6336, 4.6402, 4.652], \"own_valuation\": 4.6523, \"target_holdings\": 0.0973}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.41788411140441895, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 397 | +{"ts": 1793146219.631673, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e8e96c80dac2527a2f71180fd2ef082a012f9f798db2a0a9b198ee7379eeb59a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5372, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0474, \"cash\": 6.985, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.985, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4935, 4.5026, 4.5121, 4.525, 4.5372], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6442, \"target_holdings\": 30.5261}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.310413122177124, "usage": {"prompt_tokens": 441, "completion_tokens": 55, "total_tokens": 496, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 398 | +{"ts": 1793146220.60225, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3f04bf4ad59e8cf9749919f7397a999c23d1ad97c9960c33eecae72d06568970", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5372, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0474, \"cash\": 6.9701, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9701, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4935, 4.5026, 4.5121, 4.525, 4.5372], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6442, \"target_holdings\": 30.5261}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to take on debt or sell\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.9703938961029053, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 399 | +{"ts": 1793146223.521897, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "96d623abcfdff9ba0efe3ae0242daadb0a95b8fd3352ad53e2d7f24b160b8a76", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.554, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 7.0548, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0548, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5026, 4.5121, 4.525, 4.5372, 4.554], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6582, \"target_holdings\": 29.7004}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0459580421447754, "usage": {"prompt_tokens": 436, "completion_tokens": 50, "total_tokens": 486, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 400 | +{"ts": 1793146223.8837252, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b61f342e3e90794a8e2cded09fdf46184ebb0434b1bbe90357f147244b2615e0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6448, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.047, \"cash\": 6.2708, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2708, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6336, 4.6336, 4.6402, 4.652, 4.6448], \"own_valuation\": 4.6463, \"target_holdings\": 0.4184}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.4184,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6463,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.4184, "order_type": "limit", "limit_price": 4.6463, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5268568992614746, "usage": {"prompt_tokens": 331, "completion_tokens": 58, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 401 | +{"ts": 1793146225.9237802, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "51cff4248a17f7d4014417f493619755abf7ae19216becfdc6d82328f39ffabc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6448, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 3.9729, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 6.2953, \"margin\": 0.5, \"loan_capacity\": 1.1612, \"history\": [4.6336, 4.6336, 4.6402, 4.652, 4.6448], \"own_valuation\": 4.6495, \"target_holdings\": 1.3508}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.6724119186401367, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 402 | +{"ts": 1793146228.228097, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a8f98e8d84560a20f14c76305fdc8fc49850976633909bf33067fcd7de054bb3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.554, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 7.0398, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0398, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5026, 4.5121, 4.525, 4.5372, 4.554], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6582, \"target_holdings\": 29.7004}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2555649280548096, "usage": {"prompt_tokens": 436, "completion_tokens": 50, "total_tokens": 486, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 403 | +{"ts": 1793146231.167016, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7db9987dd7e6b9492ce306723048097021c66bb4d80f743db86c3c4eb98ede8f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6305, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0528, \"cash\": 6.3335, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3335, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6336, 4.6402, 4.652, 4.6448, 4.6305], \"own_valuation\": 4.652, \"target_holdings\": 6.1238}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4936091899871826, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 404 | +{"ts": 1793146233.788497, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "91398f2784f093a40f6e99cc7ab3355efb4de86867371788c929509be045f180", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6305, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0486, \"cash\": 4.0395, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 6.3548, \"margin\": 0.5, \"loan_capacity\": 1.1576, \"history\": [4.6336, 4.6402, 4.652, 4.6448, 4.6305], \"own_valuation\": 4.6479, \"target_holdings\": 4.9409}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7476410865783691, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 405 | +{"ts": 1793146234.190478, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a4ad084bbfd01f0ed7cf178a89f1060ad113ed9df4701f1691d3f1083e43a4b4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.575, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1254, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1254, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5121, 4.525, 4.5372, 4.554, 4.575], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6459, \"target_holdings\": 20.2342}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.528594970703125, "usage": {"prompt_tokens": 435, "completion_tokens": 56, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 406 | +{"ts": 1793146236.134031, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b0614440bce333708dbc0a0ef787b22b274e2a3d6723123bddae51d4b540d0a4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.575, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1102, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1102, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5121, 4.525, 4.5372, 4.554, 4.575], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6459, \"target_holdings\": 20.2342}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0949349403381348, "usage": {"prompt_tokens": 435, "completion_tokens": 56, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 407 | +{"ts": 1793146240.1124322, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "064df6383e48b3354e782664d1b12a5cafd67a046d888021abc74a876dd2281f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6249, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 6.3969, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3969, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6402, 4.652, 4.6448, 4.6305, 4.6249], \"own_valuation\": 4.6538, \"target_holdings\": 8.2299}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4802989959716797, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 408 | +{"ts": 1793146242.0297549, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "75b2db72798ef80cbc9ab50d2862172d750bc88db0ed21ae80aec3293bfdd593", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0403, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6303, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding is 0, so holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 0.4946920871734619, "usage": {"prompt_tokens": 328, "completion_tokens": 64, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 409 | +{"ts": 1793146242.528608, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a0952bcbe115c9c01a7455f36bfde105f18b3d6426b545e97afe2ff6ff9d40ee", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6249, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 4.5688, \"holdings\": 0.4, \"loan\": 0.0, \"equity\": 6.4187, \"margin\": 0.5, \"loan_capacity\": 0.925, \"history\": [4.6402, 4.652, 4.6448, 4.6305, 4.6249], \"own_valuation\": 4.6464, \"target_holdings\": 6.1212}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5126008987426758, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 410 | +{"ts": 1793146243.2252438, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "75b2db72798ef80cbc9ab50d2862172d750bc88db0ed21ae80aec3293bfdd593", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0403, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6303, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding is 0, so holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 1.1953022480010986, "usage": {"prompt_tokens": 328, "completion_tokens": 64, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 327}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 411 | +{"ts": 1793146250.328192, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9d5f5948358f41e2799204e48dd7622d6f27dd6304ad3d4881aca8d16b09389b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6365, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7634, \"margin\": 0.5, \"loan_capacity\": 2.3182, \"history\": [4.6458, 4.6365], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6398, \"target_holdings\": 0.9452}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6398,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6398, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43659186363220215, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 412 | +{"ts": 1793146250.9570339, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d4b796876d3b298ba1c3a24c7e62bf700d8fc87503d0ffd25324abb8c8c8faf8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6281, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.4608, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4608, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.652, 4.6448, 4.6305, 4.6249, 4.6281], \"own_valuation\": 4.6492, \"target_holdings\": 6.0143}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.8833909034729004, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 413 | +{"ts": 1793146252.8730938, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9d5f5948358f41e2799204e48dd7622d6f27dd6304ad3d4881aca8d16b09389b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6365, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7634, \"margin\": 0.5, \"loan_capacity\": 2.3182, \"history\": [4.6458, 4.6365], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6398, \"target_holdings\": 0.9452}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6398,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6398, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.3591649532318115, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 334}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 414 | +{"ts": 1793146254.854548, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c92791b7afbcc7141fe4aeefda1a7cae203156d268d7e2d40bd5bbfa7d317f78", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6281, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 5.0953, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 6.4837, \"margin\": 0.5, \"loan_capacity\": 0.6942, \"history\": [4.652, 4.6448, 4.6305, 4.6249, 4.6281], \"own_valuation\": 4.6463, \"target_holdings\": 5.2143}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.46456003189086914, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 415 | +{"ts": 1793146255.8468091, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7ad5bb303b35aa75d5493cf92b21622266750ea28707f4bf481177c8ba03fd56", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6303, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8155, \"margin\": 0.5, \"loan_capacity\": 2.3152, \"history\": [4.6458, 4.6365, 4.6303], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6287, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.540748119354248, "usage": {"prompt_tokens": 340, "completion_tokens": 64, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 416 | +{"ts": 1793146257.818191, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7ad5bb303b35aa75d5493cf92b21622266750ea28707f4bf481177c8ba03fd56", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6303, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8155, \"margin\": 0.5, \"loan_capacity\": 2.3152, \"history\": [4.6458, 4.6365, 4.6303], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6287, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.43621397018432617, "usage": {"prompt_tokens": 340, "completion_tokens": 64, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 339}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 417 | +{"ts": 1793146259.47908, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0ab02d787b9a4924ec4eec5d1d0fa65b47212f3df6519d66625e1fa8484cbdf6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6057, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.5394, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5394, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6448, 4.6305, 4.6249, 4.6281, 4.6057], \"own_valuation\": 4.6463, \"target_holdings\": 11.5999}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.629298210144043, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 418 | +{"ts": 1793146260.048629, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "612e0a5a8ba7d38af48d749a83d89e6206331feb42167d0c7be3178c2884d612", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6007, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 5.8407, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8407, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6365, 4.6303, 4.6007], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.639, \"target_holdings\": 10.9265}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4623451232910156, "usage": {"prompt_tokens": 432, "completion_tokens": 56, "total_tokens": 488, "prompt_tokens_details": {"cached_tokens": 391}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 419 | +{"ts": 1793146260.818796, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3cdb087a2356f40a6a3dc14e461d14930d3929a561f29bd9a32669929650d357", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6057, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.5254, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5254, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6448, 4.6305, 4.6249, 4.6281, 4.6057], \"own_valuation\": 4.6421, \"target_holdings\": 10.3909}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.45682692527770996, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 420 | +{"ts": 1793146262.347351, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "03a8f79b309e2289b4809e47fe7b7bb26dcb466a6208d3e7c512066fa9682794", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6212, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 6.6047, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6047, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6305, 4.6249, 4.6281, 4.6057, 4.6212], \"own_valuation\": 4.6505, \"target_holdings\": 8.3412}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.6996119022369385, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 421 | +{"ts": 1793146267.073367, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f91135e141877fb046d4d978b17130e8a18340da4595c9dc6a43d6d599237953", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6007, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 5.841, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.841, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6365, 4.6303, 4.6007], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.639, \"target_holdings\": 10.9265}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.034585952758789, "usage": {"prompt_tokens": 437, "completion_tokens": 57, "total_tokens": 494, "prompt_tokens_details": {"cached_tokens": 389}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 422 | +{"ts": 1793146267.501704, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3f0f568ef2325eedd844f242c3c3f33de660bb80f30ad221951b873834afd882", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6212, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0496, \"cash\": 6.5907, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5907, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6305, 4.6249, 4.6281, 4.6057, 4.6212], \"own_valuation\": 4.6489, \"target_holdings\": 7.8802}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.6249620914459229, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 423 | +{"ts": 1793146270.542203, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3512584ac918088ca4d666f6eb0fd6dc49d4150a59336409b5775f504b77e20c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6385, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0579, \"cash\": 6.6566, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6566, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6249, 4.6281, 4.6057, 4.6212, 4.6385], \"own_valuation\": 4.6571, \"target_holdings\": 5.3013}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is close to the price"}, "valid": true, "error": "", "cached": false, "latency": 0.4391002655029297, "usage": {"prompt_tokens": 334, "completion_tokens": 59, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 424 | +{"ts": 1793146272.0834491, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d884069fa979c9afd34ec2684188ea3767761e9724afb7d4b4892e5d7764979a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.5991, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 5.8991, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8991, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6365, 4.6303, 4.6007, 4.5991], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6342, \"target_holdings\": 10.013}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is close to the current price\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.9909579753875732, "usage": {"prompt_tokens": 447, "completion_tokens": 59, "total_tokens": 506, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 425 | +{"ts": 1793146272.817033, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bbe33f228ad28366dd72151b3e32cd3dc349498428636c073b163e04b39a6069", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6385, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0429, \"cash\": 6.6708, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6708, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6249, 4.6281, 4.6057, 4.6212, 4.6385], \"own_valuation\": 4.6422, \"target_holdings\": 1.0499}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7511048316955566, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 426 | +{"ts": 1793146275.576294, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b546d000573d2ba630cd204bc7eac3f793b5bc0278f030e1fc37e807480d62c4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.5991, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 5.8994, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8994, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6365, 4.6303, 4.6007, 4.5991], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6342, \"target_holdings\": 10.013}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.8678641319274902, "usage": {"prompt_tokens": 445, "completion_tokens": 57, "total_tokens": 502, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 427 | +{"ts": 1793146277.7509062, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cbcf93743a8f50b64fbf0fd1ae5f10f0b62bb50f636c85fc5541f8a7d8df5e21", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6013, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0236, \"cash\": 5.9581, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9581, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6365, 4.6303, 4.6007, 4.5991, 4.6013], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.5976, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.1646921634674072, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 428 | +{"ts": 1793146278.1243362, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "79be1c3e73237e2932cdfaf7d20c4ad159438276686a5823001b18f5c0b6bc3f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6385, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0582, \"cash\": 6.7375, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7375, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6281, 4.6057, 4.6212, 4.6385, 4.6385], \"own_valuation\": 4.6574, \"target_holdings\": 5.3694}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.5358500480651855, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 429 | +{"ts": 1793146278.5072482, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "319884ceebff8445f6edd79664d684116c891f9a0bc1c950108034a31f578663", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6385, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 6.7232, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7232, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6281, 4.6057, 4.6212, 4.6385, 4.6385], \"own_valuation\": 4.6505, \"target_holdings\": 3.4036}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.38271117210388184, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 430 | +{"ts": 1793146281.413237, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3d81be0ef15963ac6a1f847b97aebfd921154e0e2cc010fa778c28c3b7f3a95e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6013, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0236, \"cash\": 5.9584, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9584, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6365, 4.6303, 4.6007, 4.5991, 4.6013], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.5976, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, no change in holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.142103910446167, "usage": {"prompt_tokens": 443, "completion_tokens": 61, "total_tokens": 504, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 431 | +{"ts": 1793146286.062034, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9fd2f5b7794fadc3c37c31e4f069256e064f58d83a79c01cb01a2ed224fac361", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.5854, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.0177, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0177, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6303, 4.6007, 4.5991, 4.6013, 4.5854], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6206, \"target_holdings\": 10.0621}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, expected dividend is high enough to justify holding.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.081502914428711, "usage": {"prompt_tokens": 448, "completion_tokens": 59, "total_tokens": 507, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 432 | +{"ts": 1793146287.5276868, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ea2e9cdbd7e1174a4971506bf490044f2972c96180b66eb87067197d69bcb602", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6522, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0407, \"cash\": 6.8049, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8049, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6057, 4.6212, 4.6385, 4.6385, 4.6522], \"own_valuation\": 4.6401, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6401,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6401, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.7830190658569336, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 433 | +{"ts": 1793146291.2032158, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d8aff7721127f30d134af03c233e949b9d47bd7cb65174df13dbb596e2ff0739", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.5854, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.018, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.018, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6303, 4.6007, 4.5991, 4.6013, 4.5854], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6206, \"target_holdings\": 10.0621}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.9465270042419434, "usage": {"prompt_tokens": 444, "completion_tokens": 57, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 434 | +{"ts": 1793146291.989608, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "529aab576190b605b8134da9c08a8f92b1ab689494630fb2d74f17a401e25703", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6522, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.7904, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7904, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6057, 4.6212, 4.6385, 4.6385, 4.6522], \"own_valuation\": 4.6471, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 1.050497055053711, "usage": {"prompt_tokens": 333, "completion_tokens": 67, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 435 | +{"ts": 1793146296.184028, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "be176f5588ae77bd9655a197c2c9c035937ead2009370e61ac6ad1561bec451a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6509, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 6.8729, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8729, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6212, 4.6385, 4.6385, 4.6522, 4.651], \"own_valuation\": 4.6407, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6407,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6407, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4777870178222656, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 436 | +{"ts": 1793146298.806514, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c7eb9259d22601e16eda6272bf00e596228891377fb5b0f3f42e48bff1a84412", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6509, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.8583, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8583, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6212, 4.6385, 4.6385, 4.6522, 4.651], \"own_valuation\": 4.6496, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5273840427398682, "usage": {"prompt_tokens": 332, "completion_tokens": 67, "total_tokens": 399, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 437 | +{"ts": 1793146300.0165172, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c2f112d2c2f7999c74549e48fee533592278d29dab10479c48ac522d22f7f9bd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.5775, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0355, \"cash\": 6.0778, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0778, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6007, 4.5991, 4.6013, 4.5854, 4.5775], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6208, \"target_holdings\": 12.3552}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.6905410289764404, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 438 | +{"ts": 1793146301.6940658, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "01f87cca6be3474bb8ea7351553fc602b76e461224beaeef51ea775f11b093d6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6365, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0447, \"cash\": 6.9416, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9417, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6385, 4.6385, 4.6522, 4.651, 4.6365], \"own_valuation\": 4.644, \"target_holdings\": 2.1351}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, holding at target\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, holding at target"}, "valid": true, "error": "", "cached": false, "latency": 0.7934141159057617, "usage": {"prompt_tokens": 331, "completion_tokens": 60, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 439 | +{"ts": 1793146302.0225332, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2f8ba79c9abd7991985d697c027e926263a172e88c09fd2528fd7f860cb7eb2a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.5775, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0355, \"cash\": 6.0782, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0782, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6007, 4.5991, 4.6013, 4.5854, 4.5775], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6208, \"target_holdings\": 12.3552}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.121908187866211, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 440 | +{"ts": 1793146302.476237, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "717b9c0d4af0d5961299124ef60adca2cd0bf07d340e15d51e034e46b32efb40", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6365, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.9269, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9269, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6385, 4.6385, 4.6522, 4.651, 4.6365], \"own_valuation\": 4.6462, \"target_holdings\": 2.7517}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7819740772247314, "usage": {"prompt_tokens": 332, "completion_tokens": 64, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 441 | +{"ts": 1793146305.013752, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "21f17620f8838a8973acce0c9ad9be950730aa17cab2c6c3eb87c35432b4cfac", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.5816, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0692, \"cash\": 6.1386, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1386, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5991, 4.6013, 4.5854, 4.5775, 4.5816], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6869, \"target_holdings\": 30.0259}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to adjust holdings\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.9669480323791504, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 442 | +{"ts": 1793146307.192051, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5cbd111b9198827ec89ecaee4df9f4c7d5f3cdce4f8b6fe03438496eb230a55a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6365, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 7.0111, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0111, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6385, 4.6522, 4.651, 4.6365, 4.6365], \"own_valuation\": 4.6492, \"target_holdings\": 3.6176}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4957921504974365, "usage": {"prompt_tokens": 333, "completion_tokens": 64, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 443 | +{"ts": 1793146310.861448, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a3c8c8956dbeb8ab2f91a3513ad55894c493464001d883b8464d0f95f924d794", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.5816, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0692, \"cash\": 6.139, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.139, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5991, 4.6013, 4.5854, 4.5775, 4.5816], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6869, \"target_holdings\": 30.0259}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0456809997558594, "usage": {"prompt_tokens": 444, "completion_tokens": 57, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 444 | +{"ts": 1793146311.972951, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2c0c41448e15f642eab448537159b515e1b1005385dbbc3bb26c919b0224448a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6365, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 6.9961, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9962, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6385, 4.6522, 4.651, 4.6365, 4.6365], \"own_valuation\": 4.6406, \"target_holdings\": 1.172}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.172,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6406,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.172, "order_type": "limit", "limit_price": 4.6406, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6648499965667725, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 445 | +{"ts": 1793146312.4371881, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "76456a81fadf2e37196c18e03d2ed13fdc09aa38c4a9714ff5a3617f34de14a2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6384, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0453, \"cash\": 7.0812, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0812, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6522, 4.651, 4.6365, 4.6365, 4.6384], \"own_valuation\": 4.6446, \"target_holdings\": 1.7799}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4638378620147705, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 446 | +{"ts": 1793146313.1664572, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "91b3a874a3e05e541bf9e183d8f36864f1b8fbe79fe1427f2e688e07b0485117", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6384, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0518, \"cash\": 7.0661, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0661, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6522, 4.651, 4.6365, 4.6365, 4.6384], \"own_valuation\": 4.6511, \"target_holdings\": 3.63}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.7290771007537842, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 447 | +{"ts": 1793146313.755637, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6b8c7b99c01bfa0cc4de18a132ca09322ce4b409e46b56a3b066258107086297", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.5891, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 6.2004, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2004, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6013, 4.5854, 4.5775, 4.5816, 4.5891], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6681, \"target_holdings\": 22.5024}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.5615463256835938, "usage": {"prompt_tokens": 445, "completion_tokens": 56, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 398}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 448 | +{"ts": 1793146318.725771, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "116e88ffd2012e5a7f724c2e44eb105332524c1c7c729a57838fb869964c4770", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.5891, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 6.2, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6013, 4.5854, 4.5775, 4.5816, 4.5891], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6681, \"target_holdings\": 22.5024}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2774310111999512, "usage": {"prompt_tokens": 443, "completion_tokens": 56, "total_tokens": 499, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 449 | +{"ts": 1793146319.954135, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "709da12047b1d9f402fecc129b87e1575ec8501f7415b5e52edcdc15e50fe951", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6384, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0568, \"cash\": 7.152, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.152, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.651, 4.6365, 4.6365, 4.6384, 4.6384], \"own_valuation\": 4.656, \"target_holdings\": 5.0337}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.656,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.656, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5152120590209961, "usage": {"prompt_tokens": 330, "completion_tokens": 56, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 450 | +{"ts": 1793146320.433544, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e8c2bc0412d3829dfade074ef70205ebdf1c38ff8a27ddecac20835105191b47", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6384, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0548, \"cash\": 7.1368, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1368, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.651, 4.6365, 4.6365, 4.6384, 4.6384], \"own_valuation\": 4.654, \"target_holdings\": 4.4532}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4792039394378662, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 451 | +{"ts": 1793146327.114472, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5e893c89d4469eb3f9a44fac2b5c3a253573fa06e210e9f1f372e92fa416551a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.5891, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.2624, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2624, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5854, 4.5775, 4.5816, 4.5891, 4.5891], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6632, \"target_holdings\": 21.1258}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.4263291358947754, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 452 | +{"ts": 1793146328.076952, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "338405a9f3d3188b7054ccc66e759db334cdfa25bb48c77dda14ead242d4c927", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.5891, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.262, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.262, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5854, 4.5775, 4.5816, 4.5891, 4.5891], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6632, \"target_holdings\": 21.1258}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.9622807502746582, "usage": {"prompt_tokens": 443, "completion_tokens": 57, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 395}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 453 | +{"ts": 1793146329.21336, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "66027eb27e598126b34cc6414777001f9d9c5187f4fa0ce1a5ebbea5579e8fbd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6519, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0525, \"cash\": 7.2081, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.2082, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6365, 4.6365, 4.6384, 4.6384, 4.6519], \"own_valuation\": 4.6517, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6517,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6517, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.6041898727416992, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 454 | +{"ts": 1793146334.290277, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7ff3139ca2c847ed63b94e07a9e65792c478ba257eef3c3959c86b26e2a6dc02", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6519, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 7.2235, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.2235, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6365, 4.6365, 4.6384, 4.6384, 4.6519], \"own_valuation\": 4.6502, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6502,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6502, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.8398070335388184, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 455 | +{"ts": 1793146334.6407769, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c5f62de61a5aaaa482108184f77451ae0659bc20828eb313f9d33e3b1ae164a1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.5891, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0527, \"cash\": 6.3246, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3246, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5775, 4.5816, 4.5891, 4.5891, 4.5891], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6545, \"target_holdings\": 18.636}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to take any action.\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.2235889434814453, "usage": {"prompt_tokens": 444, "completion_tokens": 63, "total_tokens": 507, "prompt_tokens_details": {"cached_tokens": 396}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 456 | +{"ts": 1793146336.139055, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d3a736a031f8acafebad823ee6a258986738490a910696f9e53e3f0896fb7e5f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6503, \"target_holdings\": 1.2924}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is near target, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is near target, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.47946596145629883, "usage": {"prompt_tokens": 310, "completion_tokens": 63, "total_tokens": 373, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 457 | +{"ts": 1793146337.761455, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fe41bc0846e0f9d3178d8b967ac1b232fd3212ba812b6f5be6011e2b1844aba5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0454, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6447, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6458,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6458, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.6250998973846436, "usage": {"prompt_tokens": 310, "completion_tokens": 66, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 458 | +{"ts": 1793146338.2414122, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f0a0466c2d7eacf569d111a0b95ae792add27934e4cc4472ed17a7c306307df3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6478, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0427, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.767, \"margin\": 0.5, \"loan_capacity\": 2.3239, \"history\": [4.6458, 4.6478], \"own_valuation\": 4.642, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.642,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.642, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4794352054595947, "usage": {"prompt_tokens": 314, "completion_tokens": 56, "total_tokens": 370, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 459 | +{"ts": 1793146338.7059042, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "34d0037cf36818a3bb0c31e751cb7b5fc2e91aa32fb3c61edfdaa362d99fb9e7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6478, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.767, \"margin\": 0.5, \"loan_capacity\": 2.3239, \"history\": [4.6458, 4.6478], \"own_valuation\": 4.6454, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6454,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6454, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4640791416168213, "usage": {"prompt_tokens": 315, "completion_tokens": 57, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 460 | +{"ts": 1793146340.0856829, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "42557588ca49cb2159406adc781489bee4bc3abcb98d2bdd675c7b81c6131186", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.5891, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0527, \"cash\": 6.325, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.325, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5775, 4.5816, 4.5891, 4.5891, 4.5891], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.6545, \"target_holdings\": 18.636}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.0405781269073486, "usage": {"prompt_tokens": 435, "completion_tokens": 56, "total_tokens": 491, "prompt_tokens_details": {"cached_tokens": 394}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 461 | +{"ts": 1793146340.859709, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ac2a9e03aeecab86b04c614ccc3bab9ad5065922d751984ab52316eb306bf216", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.5891, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0397, \"cash\": 6.3879, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3879, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5816, 4.5891, 4.5891, 4.5891, 4.5891], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.629, \"target_holdings\": 11.3605}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.7734401226043701, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 462 | +{"ts": 1793146345.619276, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c96dc0f6fd2eb33b9b4431d01b3ae6f07bc6165f39143c53624c56538dca3152", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.5891, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0397, \"cash\": 6.3882, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3882, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5816, 4.5891, 4.5891, 4.5891, 4.5891], \"rho_d\": 0.5, \"dbar\": 0.05, \"own_valuation\": 4.629, \"target_holdings\": 11.3605}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, hold\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.9191539287567139, "usage": {"prompt_tokens": 444, "completion_tokens": 56, "total_tokens": 500, "prompt_tokens_details": {"cached_tokens": 397}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 463 | +{"ts": 1793146347.190292, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "74066f6fddb4791b9517572cd4713290a49e216ec089a7c2b444969a3e09cc02", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.648, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8225, \"margin\": 0.5, \"loan_capacity\": 2.324, \"history\": [4.6458, 4.6478, 4.648], \"own_valuation\": 4.6357, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.428541898727417, "usage": {"prompt_tokens": 319, "completion_tokens": 64, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 464 | +{"ts": 1793146349.1355221, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "56e0c60400897ce3cdd8360914ba7060d96337ecc04021dff77ce66b2108fc5e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.648, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8225, \"margin\": 0.5, \"loan_capacity\": 2.324, \"history\": [4.6458, 4.6478, 4.648], \"own_valuation\": 4.6417, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.8376100063323975, "usage": {"prompt_tokens": 319, "completion_tokens": 64, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 465 | +{"ts": 1793146353.143811, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fc429192d002c03dc258359c15b541010f16eadf7f25b44f14840541100c76b8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6332, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 5.8623, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8623, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6478, 4.648, 4.6332], \"own_valuation\": 4.6385, \"target_holdings\": 1.5137}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4772160053253174, "usage": {"prompt_tokens": 327, "completion_tokens": 64, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 466 | +{"ts": 1793146355.134295, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bfd943fba3d21ae5e65e59fb243c93d68f93750539132dbc3c08e6155e4275a2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6332, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0367, \"cash\": 5.8432, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8432, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6478, 4.648, 4.6332], \"own_valuation\": 4.6361, \"target_holdings\": 0.8449}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4100518226623535, "usage": {"prompt_tokens": 327, "completion_tokens": 64, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 467 | +{"ts": 1793146359.944139, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c2da6614e21a7e8b0b35236f7b96531ee054900be362a39edaa08dcc8696cf6b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6332, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0447, \"cash\": 5.9017, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9017, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6478, 4.648, 4.6332, 4.6332], \"own_valuation\": 4.644, \"target_holdings\": 3.0581}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5130739212036133, "usage": {"prompt_tokens": 332, "completion_tokens": 64, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 468 | +{"ts": 1793146361.222393, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fec8bb8b2c2f59b8a0aa4e2e4eed09d054ccc451fba15549bba4cc3d57d0be87", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6332, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0604, \"cash\": 5.9209, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9209, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6478, 4.648, 4.6332, 4.6332], \"own_valuation\": 4.6596, \"target_holdings\": 7.5114}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4186828136444092, "usage": {"prompt_tokens": 333, "completion_tokens": 60, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 469 | +{"ts": 1793146363.203278, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b0f05c2a96f78b03baa9c76b0701bb6d45401dd36283e27e1af4764b9023a5ce", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6426, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0511, \"cash\": 5.9607, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9607, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6478, 4.648, 4.6332, 4.6332, 4.6426], \"own_valuation\": 4.6504, \"target_holdings\": 2.2126}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.43610501289367676, "usage": {"prompt_tokens": 333, "completion_tokens": 64, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 470 | +{"ts": 1793146369.065995, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4c82ccc6e6ab5841c6a927969f6e8ac80b44a610a37b2468801395bb5aa7f082", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6426, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0575, \"cash\": 5.9801, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9801, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6478, 4.648, 4.6332, 4.6332, 4.6426], \"own_valuation\": 4.6567, \"target_holdings\": 4.0288}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6567,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6567, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.40128207206726074, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 471 | +{"ts": 1793146369.490834, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f443b56c9a82741869b445f6977cc76ca43e73262836c171e170e1636aab172c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6518, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.0399, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0399, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.648, 4.6332, 4.6332, 4.6426, 4.6518], \"own_valuation\": 4.6489, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no change needed.\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no change needed."}, "valid": true, "error": "", "cached": false, "latency": 0.42450475692749023, "usage": {"prompt_tokens": 332, "completion_tokens": 64, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 472 | +{"ts": 1793146373.2701209, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "38306349a0117292be7984540b8820052c2e5abe639d9fce24798791b7dffa55", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6518, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0529, \"cash\": 6.0203, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0203, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.648, 4.6332, 4.6332, 4.6426, 4.6518], \"own_valuation\": 4.6521, \"target_holdings\": 0.0913}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0913,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6521,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0913, "order_type": "limit", "limit_price": 4.6521, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4313390254974365, "usage": {"prompt_tokens": 333, "completion_tokens": 58, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 473 | +{"ts": 1793146376.00077, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "33c8885db4ca888982be0ac2a56fb1798c5a91ba2c1625bc91a016d6aa87c11a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6461, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.0805, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0805, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6332, 4.6332, 4.6426, 4.6518, 4.6461], \"own_valuation\": 4.6519, \"target_holdings\": 1.6386}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.42524003982543945, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 474 | +{"ts": 1793146376.400892, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "46b6afbcb6c7848699eaa0edd28e84230f08e0d9a4003a0b39c61f8f092c952e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6461, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0544, \"cash\": 6.1003, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1003, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6332, 4.6332, 4.6426, 4.6518, 4.6461], \"own_valuation\": 4.6536, \"target_holdings\": 2.1415}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.3998548984527588, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 475 | +{"ts": 1793146383.471979, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "84b9a612498cf437bc8dbee73fd6818f540595b87e1f0bdd94d711221e8b8f14", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6333, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.1613, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1614, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6332, 4.6426, 4.6518, 4.6461, 4.6333], \"own_valuation\": 4.6535, \"target_holdings\": 5.7655}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.431657075881958, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 476 | +{"ts": 1793146385.580655, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "28fe8c9b825fc83ed5c3a1d435484ec7ed9ee92222d733d4deadd2e266104a01", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6333, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 6.1413, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1413, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6332, 4.6426, 4.6518, 4.6461, 4.6333], \"own_valuation\": 4.6487, \"target_holdings\": 4.3853}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6487,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6487, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4103729724884033, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 477 | +{"ts": 1793146388.519288, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6c88ac298931b7d9033da8437794179f7e0289291fdab9eb0921256f3ce86430", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6354, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 6.223, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.223, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6426, 4.6518, 4.6461, 4.6333, 4.6354], \"own_valuation\": 4.6542, \"target_holdings\": 5.3358}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6542,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6542, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.41980504989624023, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 478 | +{"ts": 1793146388.981449, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dc3490ff80a4155a0a1748b8ac2713ab4dd011fe60a254754bf4862bfce403da", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6354, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.2027, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2027, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6426, 4.6518, 4.6461, 4.6333, 4.6354], \"own_valuation\": 4.6485, \"target_holdings\": 3.727}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4619326591491699, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 479 | +{"ts": 1793146394.476832, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b537ecf90d3318842a8897bc565f96057b6be145c8f0fa4b83332dbeac55d071", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6437, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 6.2647, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2647, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6518, 4.6461, 4.6333, 4.6354, 4.6437], \"own_valuation\": 4.6524, \"target_holdings\": 2.484}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43545079231262207, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 480 | +{"ts": 1793146397.533474, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "24decf9625226a64d581a70600f11a5a31d04710a048d9abf23b5bca4b7dd95c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6437, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0569, \"cash\": 6.2852, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2852, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6518, 4.6461, 4.6333, 4.6354, 4.6437], \"own_valuation\": 4.6561, \"target_holdings\": 3.5269}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6561,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6561, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.41582679748535156, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 481 | +{"ts": 1793146401.570621, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4b681de7e476515f07841efb073f6b789523d777fc714ae107b7c80537c8f422", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6445, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.348, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.348, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6461, 4.6333, 4.6354, 4.6437, 4.6445], \"own_valuation\": 4.6471, \"target_holdings\": 0.7357}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.645,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.645, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.8512210845947266, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 482 | +{"ts": 1793146402.385918, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "14e44321b10b25fdf10bded2dd63149b97b8f7834379ad489396c4752272a888", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6445, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0529, \"cash\": 6.3274, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3274, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6461, 4.6333, 4.6354, 4.6437, 4.6445], \"own_valuation\": 4.6521, \"target_holdings\": 2.1744}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.8150930404663086, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 483 | +{"ts": 1793146409.540132, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "115c686126d831e9c7056a1ab43d324a94e205a4429ba5c7edae9b589e256ac0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6065, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.3299, \"holdings\": 0.0177, \"loan\": 0.0, \"equity\": 6.4115, \"margin\": 0.5, \"loan_capacity\": 0.0408, \"history\": [4.6333, 4.6354, 4.6437, 4.6445, 4.6421], \"own_valuation\": 4.6486, \"target_holdings\": 12.0022}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.8472900390625, "usage": {"prompt_tokens": 336, "completion_tokens": 60, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 484 | +{"ts": 1793146414.4204202, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "db83f05f4debb14f11b0495caa3cf24bc1b2f661bfa38462d05a619516cae30f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6065, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.3093, \"holdings\": 0.0177, \"loan\": 0.0, \"equity\": 6.3906, \"margin\": 0.5, \"loan_capacity\": 0.0407, \"history\": [4.6333, 4.6354, 4.6437, 4.6445, 4.6421], \"own_valuation\": 4.6491, \"target_holdings\": 12.1603}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding is above current holdings, sell to reduce exposure.\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding is above current holdings, sell to reduce exposure."}, "valid": true, "error": "", "cached": false, "latency": 0.7948510646820068, "usage": {"prompt_tokens": 336, "completion_tokens": 60, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 213}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 485 | +{"ts": 1793146417.628959, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f2375e39ec93f98d4e00586530696b9697ec99251337fca767f981bb508cfde8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6039, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0426, \"cash\": 6.4544, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4544, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6354, 4.6437, 4.6445, 4.6421, 4.6039], \"own_valuation\": 4.6419, \"target_holdings\": 10.8392}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6419,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6419, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.8182988166809082, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 486 | +{"ts": 1793146426.0509472, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5a1163f04b8bca30e3a5faf4420a13c2c82488e57b60e64a36645e00a6d26225", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6039, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 6.4755, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4755, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6354, 4.6437, 4.6445, 4.6421, 4.6039], \"own_valuation\": 4.6441, \"target_holdings\": 11.4626}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.8366541862487793, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 487 | +{"ts": 1793146426.906618, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "18a8e3b167c3471f391aaf34b3ddb293ed33a43429620c9676a153b310f44819", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6174, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 6.5189, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5189, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6437, 4.6445, 4.6421, 4.6039, 4.6174], \"own_valuation\": 4.6559, \"target_holdings\": 10.9655}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"buy\",\n \"quantity\": 2.7326,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings reached, buy to maintain position\"\n}", "parsed": {"side": "buy", "quantity": 2.7326, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings reached, buy to maintain position"}, "valid": true, "error": "", "cached": false, "latency": 0.8552911281585693, "usage": {"prompt_tokens": 334, "completion_tokens": 62, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 488 | +{"ts": 1793146431.627552, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "035e901649a39893c3220c33e59ff7d8f5c0d02358f1b8dfa90c2e2645de375f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6174, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.5402, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5402, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6437, 4.6445, 4.6421, 4.6039, 4.6174], \"own_valuation\": 4.6435, \"target_holdings\": 7.4455}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.8122758865356445, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 489 | +{"ts": 1793146438.098787, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fb56f8ed13f97fda7a1be5ef16b1d61741e0464264b703a3e20d618872fe2671", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6324, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 6.6056, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6056, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6445, 4.6421, 4.6039, 4.6174, 4.6324], \"own_valuation\": 4.6524, \"target_holdings\": 5.7011}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is close to the price"}, "valid": true, "error": "", "cached": false, "latency": 0.7772049903869629, "usage": {"prompt_tokens": 333, "completion_tokens": 59, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 490 | +{"ts": 1793146438.817455, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0f6bc3f0abb45bfc2032164a4cf18a5c207697da79fee89abe1edf62cfd77f59", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6324, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.5841, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5841, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6445, 4.6421, 4.6039, 4.6174, 4.6324], \"own_valuation\": 4.6486, \"target_holdings\": 4.606}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.606,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.606, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.7184338569641113, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 491 | +{"ts": 1793146446.5337338, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fd67f559050623b0dede33deb2a79dd86affaa1b4be74db710c708e791951982", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6324, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.6717, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6717, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6421, 4.6039, 4.6174, 4.6324, 4.6324], \"own_valuation\": 4.6495, \"target_holdings\": 4.8715}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 1.0105550289154053, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 492 | +{"ts": 1793146447.8219619, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "aef8c34a29b20dfbff9a87426ec3027a2ef984e9b9dd67bf626573d86e3b1c80", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6324, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.65, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.65, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6421, 4.6039, 4.6174, 4.6324, 4.6324], \"own_valuation\": 4.6421, \"target_holdings\": 2.7594}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.40791797637939453, "usage": {"prompt_tokens": 332, "completion_tokens": 63, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 493 | +{"ts": 1793146451.818377, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "62f07981481e68dcead48b43036615e84103ad156f3e3c2a72e21cc7aa496f39", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6539, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.7384, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7384, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6039, 4.6174, 4.6324, 4.6324, 4.6539], \"own_valuation\": 4.6519, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6519,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6519, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.8043637275695801, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 494 | +{"ts": 1793146452.749248, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fb95bc561599faebad382bfd10ee358fa9e7e5afe94a521ec8baa9eca0c50839", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6539, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.7165, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7165, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6039, 4.6174, 4.6324, 4.6324, 4.6539], \"own_valuation\": 4.649, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.9306578636169434, "usage": {"prompt_tokens": 332, "completion_tokens": 67, "total_tokens": 399, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 495 | +{"ts": 1793146464.700243, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cc3b23aabe7519d29e5d011ed7b40faeb597d6004376a8f3281d4ea291152bbe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5793, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 6.6303, \"holdings\": 0.0382, \"loan\": 0.0, \"equity\": 6.8051, \"margin\": 0.5, \"loan_capacity\": 0.0874, \"history\": [4.6174, 4.6324, 4.6324, 4.6539, 4.6634], \"own_valuation\": 4.6437, \"target_holdings\": 18.3593}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.8398008346557617, "usage": {"prompt_tokens": 336, "completion_tokens": 60, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 496 | +{"ts": 1793146466.700377, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fd01cf0c78e7dc80cee0db03759778516c30d98175db932dce353d92a4df2c1f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5793, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0525, \"cash\": 6.6087, \"holdings\": 0.038, \"loan\": 0.0, \"equity\": 6.783, \"margin\": 0.5, \"loan_capacity\": 0.0871, \"history\": [4.6174, 4.6324, 4.6324, 4.6539, 4.6634], \"own_valuation\": 4.6517, \"target_holdings\": 20.6415}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7645351886749268, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 497 | +{"ts": 1793146469.495371, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6bb2b0109556a204493c1d26f0fba65d70774e33a8dc43ece81e377670f175dc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5723, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 6.6982, \"holdings\": 0.0382, \"loan\": 0.0, \"equity\": 6.8727, \"margin\": 0.5, \"loan_capacity\": 0.0873, \"history\": [4.6324, 4.6324, 4.6539, 4.6634, 4.5723], \"own_valuation\": 4.6476, \"target_holdings\": 21.4767}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.9108428955078125, "usage": {"prompt_tokens": 336, "completion_tokens": 60, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 498 | +{"ts": 1793146475.0426571, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "24bf49839943cebb1f26e72852335a8969a9a0c2a605b5a758d192f3517bd036", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5723, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.6764, \"holdings\": 0.038, \"loan\": 0.0, \"equity\": 6.8503, \"margin\": 0.5, \"loan_capacity\": 0.087, \"history\": [4.6324, 4.6324, 4.6539, 4.6634, 4.5723], \"own_valuation\": 4.6453, \"target_holdings\": 20.8079}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is low, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.8651189804077148, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 499 | +{"ts": 1793146479.4824011, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "351c38d98a2b1457f4faefa5d3984f37c37f9eb03512b82f05cdae0ac29288a5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.5749, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0601, \"cash\": 6.7452, \"holdings\": 0.038, \"loan\": 0.0, \"equity\": 6.9193, \"margin\": 0.5, \"loan_capacity\": 0.087, \"history\": [4.6324, 4.6539, 4.6634, 4.5723, 4.5749], \"own_valuation\": 4.6593, \"target_holdings\": 24.0504}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is close to the price"}, "valid": true, "error": "", "cached": false, "latency": 0.8447771072387695, "usage": {"prompt_tokens": 334, "completion_tokens": 59, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 500 | +{"ts": 1793146481.502124, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "583bde4ddb78d96e6c4be93ec7ed18b1e40f2a2f6b798d0f026acdd335429d2c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.5749, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 6.7673, \"holdings\": 0.0382, \"loan\": 0.0, \"equity\": 6.9419, \"margin\": 0.5, \"loan_capacity\": 0.0873, \"history\": [4.6324, 4.6539, 4.6634, 4.5723, 4.5749], \"own_valuation\": 4.6572, \"target_holdings\": 23.4713}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7392661571502686, "usage": {"prompt_tokens": 336, "completion_tokens": 60, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 501 | +{"ts": 1793146488.138219, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "942bc9d2c2809bb2284a1d7c622984ec179277e2d0fb12e0542a6f9c57b8f4c0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5841, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0456, \"cash\": 6.837, \"holdings\": 0.0382, \"loan\": 0.0, \"equity\": 7.012, \"margin\": 0.5, \"loan_capacity\": 0.0875, \"history\": [4.6539, 4.6634, 4.5723, 4.5749, 4.5841], \"own_valuation\": 4.645, \"target_holdings\": 17.3593}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0382,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.0382, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.8114340305328369, "usage": {"prompt_tokens": 333, "completion_tokens": 62, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 502 | +{"ts": 1793146492.8482969, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5e353465561811e92b7387a8518369ddafb46ba9467a789c9d6c83f7b33c46d8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5841, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0492, \"cash\": 6.8148, \"holdings\": 0.038, \"loan\": 0.0, \"equity\": 6.9891, \"margin\": 0.5, \"loan_capacity\": 0.0872, \"history\": [4.6539, 4.6634, 4.5723, 4.5749, 4.5841], \"own_valuation\": 4.6484, \"target_holdings\": 18.35}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.948822021484375, "usage": {"prompt_tokens": 334, "completion_tokens": 60, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 503 | +{"ts": 1793146494.6318452, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ad470fa8c691ed9726d1762337a3c2c78ce9f756c37391b71b6fc504f9f3f8c8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6014, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 7.0826, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0826, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6634, 4.5723, 4.5749, 4.5841, 4.6014], \"own_valuation\": 4.6541, \"target_holdings\": 15.0462}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4196469783782959, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 504 | +{"ts": 1793146499.4385421, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f76f4730634fb7f0576d97e7f7ae3365f67f4dfb86711dba8624beebf6930ec3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6014, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0537, \"cash\": 7.0596, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0596, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6634, 4.5723, 4.5749, 4.5841, 4.6014], \"own_valuation\": 4.6529, \"target_holdings\": 14.6959}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.8802480697631836, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 505 | +{"ts": 1793146509.674465, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a902736c83bcc24d88f227bd417573cd3f27c922a7997611c9d350f3b12eb840", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6235, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 7.1302, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1302, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5723, 4.5749, 4.5841, 4.6014, 4.6235], \"own_valuation\": 4.6454, \"target_holdings\": 6.2377}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.8931417465209961, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 506 | +{"ts": 1793146510.456459, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d7de4c19a231399546610363379b8bafccc528415be99d16b2299b0c946fecfd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6235, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 7.1534, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1534, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5723, 4.5749, 4.5841, 4.6014, 4.6235], \"own_valuation\": 4.6486, \"target_holdings\": 7.1561}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.7816140651702881, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 507 | +{"ts": 1793146514.165591, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "52bd4e76fb4d0a39d8e0c9b5de62336198d2d087e6da7446147a06531e94abc2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0513, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6505, \"target_holdings\": 1.3542}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.9241518974304199, "usage": {"prompt_tokens": 311, "completion_tokens": 61, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 508 | +{"ts": 1793146514.971595, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c88a75ea9ecf2e5e530b59325e538a98519dce5ff285e32f536488e662750072", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0578, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.657, \"target_holdings\": 3.1944}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.8055369853973389, "usage": {"prompt_tokens": 310, "completion_tokens": 61, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 509 | +{"ts": 1793146521.519514, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8dd8672d5ba20e94fdd54e8160565228725b8dc8fb766b8c53c77558f869be21", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6444, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0389, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7713, \"margin\": 0.5, \"loan_capacity\": 2.3222, \"history\": [4.6458, 4.6444], \"own_valuation\": 4.6382, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6382,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6382, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.8157308101654053, "usage": {"prompt_tokens": 316, "completion_tokens": 56, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 510 | +{"ts": 1793146524.458647, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1cca07a6da3f966ac523bad2d4bba39627c0a8fbb4750741991493a4b098e982", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6444, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7713, \"margin\": 0.5, \"loan_capacity\": 2.3222, \"history\": [4.6458, 4.6444], \"own_valuation\": 4.6481, \"target_holdings\": 1.0455}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.8803551197052002, "usage": {"prompt_tokens": 317, "completion_tokens": 61, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 511 | +{"ts": 1793146529.578311, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9d082a960037f5bdc9dac36e99a1fbceb8b2faccd05b840f042906615b2edeee", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6423, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0463, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8274, \"margin\": 0.5, \"loan_capacity\": 2.3211, \"history\": [4.6458, 4.6444, 4.6423], \"own_valuation\": 4.6456, \"target_holdings\": 0.9389}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.8490879535675049, "usage": {"prompt_tokens": 323, "completion_tokens": 64, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 512 | +{"ts": 1793146532.656461, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cc7c4a973c15505fbd2edfe14c2b2a914162eba805319cf1e169a2bcc8965bd8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6423, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0434, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8274, \"margin\": 0.5, \"loan_capacity\": 2.3211, \"history\": [4.6458, 4.6444, 4.6423], \"own_valuation\": 4.6427, \"target_holdings\": 0.136}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.136,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6427,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "sell", "quantity": 0.136, "order_type": "limit", "limit_price": 4.6427, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.7736058235168457, "usage": {"prompt_tokens": 322, "completion_tokens": 57, "total_tokens": 379, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 513 | +{"ts": 1793146539.457928, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d23f75a7a120ce8a192e8636cd491169f4e24cd8fdf80b254cecd4d7c0a8cbe2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6344, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0473, \"cash\": 1.3918, \"holdings\": 0.9673, \"loan\": 0.0, \"equity\": 5.8748, \"margin\": 0.5, \"loan_capacity\": 2.2415, \"history\": [4.6458, 4.6444, 4.6423, 4.6344], \"own_valuation\": 4.6466, \"target_holdings\": 3.4752}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 1.119994878768921, "usage": {"prompt_tokens": 330, "completion_tokens": 62, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 514 | +{"ts": 1793146541.3555431, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "41005459f45713de8fbc8d9aaefc735f412ace85c18dc7d1f8c31eb619e17999", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6344, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0415, \"cash\": 3.5542, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.8714, \"margin\": 0.5, \"loan_capacity\": 1.1586, \"history\": [4.6458, 4.6444, 4.6423, 4.6344], \"own_valuation\": 4.6409, \"target_holdings\": 1.8318}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.42879486083984375, "usage": {"prompt_tokens": 329, "completion_tokens": 60, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 515 | +{"ts": 1793146543.2384582, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f9d888c049e538abe8f9f6741067972ba64204f06d42c2dada51032c95c89106", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6232, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0468, \"cash\": 5.9117, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9117, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6444, 4.6423, 4.6344, 4.6232], \"own_valuation\": 4.6461, \"target_holdings\": 6.5053}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.80430006980896, "usage": {"prompt_tokens": 334, "completion_tokens": 60, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 516 | +{"ts": 1793146546.036682, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "80553af3141638318b9ae2e1bdff365bd65cd83f44f651662bbbc6cb82137ecd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6232, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0501, \"cash\": 3.7473, \"holdings\": 0.4673, \"loan\": 0.0, \"equity\": 5.9078, \"margin\": 0.5, \"loan_capacity\": 1.0802, \"history\": [4.6458, 4.6444, 4.6423, 4.6344, 4.6232], \"own_valuation\": 4.6493, \"target_holdings\": 7.4406}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.7619950771331787, "usage": {"prompt_tokens": 336, "completion_tokens": 59, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 517 | +{"ts": 1793146553.089477, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "33907cae5d5c55c395d1a519ee72e1bd0b5b2a1e728cf8c9f3c15d9576ecabb0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.616, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 5.9708, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9708, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6444, 4.6423, 4.6344, 4.6232, 4.616], \"own_valuation\": 4.6407, \"target_holdings\": 7.0481}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6407,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6407, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.9351270198822021, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 518 | +{"ts": 1793146556.046011, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "81729838f6ce928c431d2b61c0f9c48fbe5377a185b0d598783cf0d93145b953", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.616, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0386, \"cash\": 5.9601, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9601, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6444, 4.6423, 4.6344, 4.6232, 4.616], \"own_valuation\": 4.638, \"target_holdings\": 6.2846}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.638,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.638, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.7433919906616211, "usage": {"prompt_tokens": 331, "completion_tokens": 56, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 519 | +{"ts": 1793146561.581642, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "69fa850676ded9a94c6b7bda84e72254071a8e34f8fb678ade0ca1981aab8dcf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6142, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0347, \"cash\": 6.0305, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0305, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6423, 4.6344, 4.6232, 4.616, 4.6142], \"own_valuation\": 4.6341, \"target_holdings\": 5.6561}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.8906838893890381, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 520 | +{"ts": 1793146564.93907, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9f2a1e777c822396b7113f94f7eb8a51a44fff9e2a2a0434880844053b1146b0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6142, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0424, \"cash\": 6.0197, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0197, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6423, 4.6344, 4.6232, 4.616, 4.6142], \"own_valuation\": 4.6418, \"target_holdings\": 7.8445}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6418,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6418, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.8064830303192139, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 521 | +{"ts": 1793146571.435519, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "88d731a26f8116aa295e4136a3603585216b4ffbf9139fd838421d6fe3cdb573", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6187, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.0908, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0908, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6344, 4.6232, 4.616, 4.6142, 4.6187], \"own_valuation\": 4.6357, \"target_holdings\": 4.8514}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.9211657047271729, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 522 | +{"ts": 1793146575.62879, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "71dbd827d44802daeb4026164763cd2d40254d4f162ed0e0024ee72f19a9d393", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6187, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.04, \"cash\": 6.0799, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0799, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6344, 4.6232, 4.616, 4.6142, 4.6187], \"own_valuation\": 4.6393, \"target_holdings\": 5.899}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6393,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6393, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.9131951332092285, "usage": {"prompt_tokens": 330, "completion_tokens": 57, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 523 | +{"ts": 1793146578.053306, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3309ddd4f6eee0ab7b292d27c71e569f79bb9eb0cf59108c19d22f0615a7ed30", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6273, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.1518, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1518, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6232, 4.616, 4.6142, 4.6187, 4.6273], \"own_valuation\": 4.6471, \"target_holdings\": 5.6472}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.851315975189209, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 524 | +{"ts": 1793146581.54582, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6ab1053384c802ae85f12e94e6feb4ff0a6b16e286b1b807fc184de6f3ea14be", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6273, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.1407, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1407, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6232, 4.616, 4.6142, 4.6187, 4.6273], \"own_valuation\": 4.6489, \"target_holdings\": 6.1655}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.859328031539917, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 525 | +{"ts": 1793146585.9658408, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "205d750f9ea3bc958d3f35e3e1911286f213c4b57576ef25d273fcd953ea205d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6345, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0653, \"cash\": 6.2021, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2021, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.616, 4.6142, 4.6187, 4.6273, 4.6345], \"own_valuation\": 4.6644, \"target_holdings\": 8.5264}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6644,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6644, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.9856812953948975, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 526 | +{"ts": 1793146591.524451, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7186269ee31c649170f184e8abcc2b5211e7b7f606ad834b69f2776d2104d339", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6345, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0691, \"cash\": 6.2133, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2133, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.616, 4.6142, 4.6187, 4.6273, 4.6345], \"own_valuation\": 4.6682, \"target_holdings\": 9.6051}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6682,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6682, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.7875089645385742, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 527 | +{"ts": 1793146601.8492339, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8c9fbbca2c3c34c40e1f8d591aedd4c62b7d976081e892a319a310ed63e15e09", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6477, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0589, \"cash\": 6.2642, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2642, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6142, 4.6187, 4.6273, 4.6345, 4.6477], \"own_valuation\": 4.6581, \"target_holdings\": 2.9711}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.9307389259338379, "usage": {"prompt_tokens": 333, "completion_tokens": 64, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 528 | +{"ts": 1793146602.7211, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "60b70de1f398c2ae8bb189c097a630bce3b8fd97578029e842039a1ff2033e9e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6477, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.061, \"cash\": 6.2754, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2754, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6142, 4.6187, 4.6273, 4.6345, 4.6477], \"own_valuation\": 4.6602, \"target_holdings\": 3.5744}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.871319055557251, "usage": {"prompt_tokens": 332, "completion_tokens": 64, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 529 | +{"ts": 1793146609.070614, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0d3a990f451e311477e1b2c87acd2c1d235b00881380a974141c34ece4be418b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6143, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.054, \"cash\": 6.2565, \"holdings\": 0.0152, \"loan\": 0.0, \"equity\": 6.3268, \"margin\": 0.5, \"loan_capacity\": 0.0351, \"history\": [4.6187, 4.6273, 4.6345, 4.6477, 4.6467], \"own_valuation\": 4.6532, \"target_holdings\": 11.0977}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0152,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.0152, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.8574941158294678, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 530 | +{"ts": 1793146611.402231, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7f2a7af32942eeb3139376ccfc2012be322dadb42a3db4469f7273034ed600e6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6143, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 6.2678, \"holdings\": 0.0153, \"loan\": 0.0, \"equity\": 6.3382, \"margin\": 0.5, \"loan_capacity\": 0.0352, \"history\": [4.6187, 4.6273, 4.6345, 4.6477, 4.6467], \"own_valuation\": 4.6537, \"target_holdings\": 11.2406}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0153,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.0153, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.8135678768157959, "usage": {"prompt_tokens": 335, "completion_tokens": 62, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 531 | +{"ts": 1793146612.195082, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "510750cc347a115485713657d42a3f9ad935d6ecf790af9cbd75c440be16ff99", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.627, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.4015, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4015, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6273, 4.6345, 4.6477, 4.6467, 4.627], \"own_valuation\": 4.6535, \"target_holdings\": 7.5564}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.7919290065765381, "usage": {"prompt_tokens": 332, "completion_tokens": 63, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 532 | +{"ts": 1793146617.884585, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "172882c07653ab7e86d97b31e8f7acaf81859452fcbf62ae224c91bf30e4da9c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.627, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.3899, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3901, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6273, 4.6345, 4.6477, 4.6467, 4.627], \"own_valuation\": 4.6433, \"target_holdings\": 4.6403}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6403,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6403, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.8264617919921875, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 533 | +{"ts": 1793146622.374069, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f0741c4b97d4a88068f7652531f882cb6747080f3f13b2cd5e9c8f95039569f4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6409, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0542, \"cash\": 6.4655, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4655, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6345, 4.6477, 4.6467, 4.627, 4.6409], \"own_valuation\": 4.6534, \"target_holdings\": 3.5755}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6534,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6534, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.7631380558013916, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 3}} | ||||
| 534 | +{"ts": 1793146624.135376, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "74a9608d0fa107f71148dd6e0f1aff37b3255d787a67c63ccc75ca6b12a4126b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6409, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0415, \"cash\": 6.4538, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.454, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6345, 4.6477, 4.6467, 4.627, 4.6409], \"own_valuation\": 4.6409, \"target_holdings\": 0.0022}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0022,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6409,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0022, "order_type": "limit", "limit_price": 4.6409, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.8757650852203369, "usage": {"prompt_tokens": 333, "completion_tokens": 58, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 3}} | ||||
| 535 | +{"ts": 1793146629.4218838, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "89c5766d363590f07b2410be6a2a8a7ea23cc65836215344f8c6391568f84a32", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4892, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0443, \"cash\": 6.1947, \"holdings\": 0.0721, \"loan\": 0.0, \"equity\": 6.5185, \"margin\": 0.5, \"loan_capacity\": 0.1619, \"history\": [4.6477, 4.6467, 4.627, 4.6409, 4.6465], \"own_valuation\": 4.6436, \"target_holdings\": 44.0227}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.9216032028198242, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 3}} | ||||
| 536 | +{"ts": 1793146636.5783072, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6405b46ef930e208b4fe78f863cbcef1ae2c85161cad63f27ebae64cdafcd392", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4892, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0435, \"cash\": 6.206, \"holdings\": 0.0722, \"loan\": 0.0, \"equity\": 6.5302, \"margin\": 0.5, \"loan_capacity\": 0.1621, \"history\": [4.6477, 4.6467, 4.627, 4.6409, 4.6465], \"own_valuation\": 4.6428, \"target_holdings\": 43.8054}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holding is too high, sell to reduce exposure\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holding is too high, sell to reduce exposure"}, "valid": true, "error": "", "cached": false, "latency": 0.6534979343414307, "usage": {"prompt_tokens": 334, "completion_tokens": 59, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 3}} | ||||
| 537 | +{"ts": 1793146637.328515, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "de1777bca57d6314cd916da181216f0902e730e9efc5e449e157fd243eb09ac6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5001, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0459, \"cash\": 6.5843, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5843, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6467, 4.627, 4.6409, 4.6465, 4.5001], \"own_valuation\": 4.6452, \"target_holdings\": 41.3668}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 41.3668,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6452,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 41.3668, "order_type": "limit", "limit_price": 4.6452, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.7488389015197754, "usage": {"prompt_tokens": 332, "completion_tokens": 58, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 3}} | ||||
| 538 | +{"ts": 1793146645.998432, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6cdfc082f528bda0d5637a7fa28725111e7c049aea2df986b7367d1e80d409b4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5001, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0422, \"cash\": 6.5961, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5961, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6467, 4.627, 4.6409, 4.6465, 4.5001], \"own_valuation\": 4.6415, \"target_holdings\": 40.316}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 4.6415,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 1.5992820262908936, "usage": {"prompt_tokens": 420, "completion_tokens": 58, "total_tokens": 478, "prompt_tokens_details": {"cached_tokens": 374}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 5, "run": 3}} | ||||
| 539 | +{"ts": 1793146651.3051789, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3fc36f3c85a8f5c599471c6e23682834d345b88e5b71c20bddab598675fecbd6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.5154, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0524, \"cash\": 6.6501, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6501, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.627, 4.6409, 4.6465, 4.5001, 4.5154], \"own_valuation\": 4.6517, \"target_holdings\": 38.8572}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"buy\",\n \"quantity\": 8.4286,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings reached, buy to maintain position\"\n}", "parsed": {"side": "buy", "quantity": 8.4286, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings reached, buy to maintain position"}, "valid": true, "error": "", "cached": false, "latency": 0.8690118789672852, "usage": {"prompt_tokens": 333, "completion_tokens": 62, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 3}} | ||||
| 540 | +{"ts": 1793146654.39444, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8e1a41b4687a5dbf36aeb07a56f40e902f3f4a4286eb7a8f61a573499a1ab291", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.5154, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0408, \"cash\": 6.6621, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6621, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.627, 4.6409, 4.6465, 4.5001, 4.5154], \"own_valuation\": 4.6402, \"target_holdings\": 35.5779}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6402,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6402, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.7967171669006348, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 3}} | ||||
| 541 | +{"ts": 1793146658.4714801, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1e36a91bb67cfd89a2a989f52120c590ae10a747026544ce3ffd223b20ba77e7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5311, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 0.1701, \"holdings\": 1.445, \"loan\": 0.0, \"equity\": 6.7173, \"margin\": 0.5, \"loan_capacity\": 3.2736, \"history\": [4.6409, 4.6465, 4.5001, 4.5154, 4.5311], \"own_valuation\": 4.6541, \"target_holdings\": 35.0667}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.840123176574707, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 3}} | ||||
| 542 | +{"ts": 1793146661.762589, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c0e5f0df894811ddf82ec409d40c73761489c49abac42c8e5135c07f0c8b1aea", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5311, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.057, \"cash\": 6.7287, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7287, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6409, 4.6465, 4.5001, 4.5154, 4.5311], \"own_valuation\": 4.6562, \"target_holdings\": 35.6611}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"buy\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, buy to maintain position\"\n}", "parsed": {"side": "buy", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, buy to maintain position"}, "valid": true, "error": "", "cached": false, "latency": 0.854834794998169, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 3}} | ||||
| 543 | +{"ts": 1793146664.8833768, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "41edbd06d233489d77edf5469580217a8b55b14dd9c756f07c46a010a8d83830", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5717, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0624, \"cash\": 0.2567, \"holdings\": 1.445, \"loan\": 0.0, \"equity\": 6.8626, \"margin\": 0.5, \"loan_capacity\": 3.3029, \"history\": [4.6465, 4.5001, 4.5154, 4.5311, 4.5717], \"own_valuation\": 4.6615, \"target_holdings\": 25.6126}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.8138940334320068, "usage": {"prompt_tokens": 335, "completion_tokens": 58, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 3}} | ||||
| 544 | +{"ts": 1793146668.242888, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6a19952cc24426de413e8a3cc8e9f7d6bccd4c1883644c80534ec5fa29e5cc41", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5717, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0536, \"cash\": 4.515, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 6.8008, \"margin\": 0.5, \"loan_capacity\": 1.1429, \"history\": [4.6465, 4.5001, 4.5154, 4.5311, 4.5717], \"own_valuation\": 4.6528, \"target_holdings\": 23.1425}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.8573651313781738, "usage": {"prompt_tokens": 334, "completion_tokens": 60, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 3}} | ||||
| 545 | +{"ts": 1793146675.534852, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c8b1df32b9603b3dcbae2a43e8c7b83dee8fd4d6c3acd6b9ea9836cff209c6f4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5978, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 4.9236, \"holdings\": 0.445, \"loan\": 0.0, \"equity\": 6.9695, \"margin\": 0.5, \"loan_capacity\": 1.0229, \"history\": [4.5001, 4.5154, 4.5311, 4.5717, 4.5978], \"own_valuation\": 4.6519, \"target_holdings\": 15.4068}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7913088798522949, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 3}} | ||||
| 546 | +{"ts": 1793146676.3482509, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "98f749295a36daf9bb32d82c5786c29d3ecbe9f0231d4f86640a7e37020da44e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5978, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 4.7362, \"holdings\": 0.4674, \"loan\": 0.0, \"equity\": 6.8851, \"margin\": 0.5, \"loan_capacity\": 1.0745, \"history\": [4.5001, 4.5154, 4.5311, 4.5717, 4.5978], \"own_valuation\": 4.6477, \"target_holdings\": 14.2298}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.8128032684326172, "usage": {"prompt_tokens": 336, "completion_tokens": 60, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 3}} | ||||
| 547 | +{"ts": 1793146681.539505, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d9a1eb2fe9f9b9ec1124c08eda8fbd1af7bea5ab2a84e099ff2e2934ea22f992", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6648, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.049, \"cash\": 7.0457, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0457, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5154, 4.5311, 4.5717, 4.5978, 4.6648], \"own_valuation\": 4.6482, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 1.024237871170044, "usage": {"prompt_tokens": 332, "completion_tokens": 67, "total_tokens": 399, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 3}} | ||||
| 548 | +{"ts": 1793146683.113604, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e0cabfc48d6af73c9f638f4e5e59a12158c5ff7a3c90928366eb7e193649c532", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6648, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0544, \"cash\": 6.9619, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9619, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5154, 4.5311, 4.5717, 4.5978, 4.6648], \"own_valuation\": 4.6536, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5242972373962402, "usage": {"prompt_tokens": 333, "completion_tokens": 67, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 3}} | ||||
| 549 | +{"ts": 1793146689.581213, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5992aa18540b06cddb374149614fef5edd293fda968ceb0cac18e9684332017f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.674, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 7.0315, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0315, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5311, 4.5717, 4.5978, 4.6648, 4.674], \"own_valuation\": 4.6514, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.9488871097564697, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 3}} | ||||
| 550 | +{"ts": 1793146693.822876, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2e2b42f8b26e561029ec4bd2c7cd9d67d97f3c53deff85d4bd8294294ff997e7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.674, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.058, \"cash\": 7.1162, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1162, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5311, 4.5717, 4.5978, 4.6648, 4.674], \"own_valuation\": 4.6572, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.870013952255249, "usage": {"prompt_tokens": 330, "completion_tokens": 67, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 3}} | ||||
| 551 | +{"ts": 1793146698.0258482, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "88a54617fd02244ef467d332b688d9a9e7f5341ccb82ba435f383f0cae60c5ca", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6118, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.0524, \"cash\": 7.0666, \"holdings\": 0.0262, \"loan\": 0.0, \"equity\": 7.1872, \"margin\": 0.5, \"loan_capacity\": 0.0603, \"history\": [4.5717, 4.5978, 4.6648, 4.674, 4.6673], \"own_valuation\": 4.6517, \"target_holdings\": 11.3665}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.7448611259460449, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 3}} | ||||
| 552 | +{"ts": 1793146706.182548, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "90354fee952d5cf747490e27ced25d0ff3f58e9250e46e58bab4636b4accdefc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6118, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 6.9825, \"holdings\": 0.0258, \"loan\": 0.0, \"equity\": 7.1017, \"margin\": 0.5, \"loan_capacity\": 0.0596, \"history\": [4.5717, 4.5978, 4.6648, 4.674, 4.6673], \"own_valuation\": 4.6542, \"target_holdings\": 12.0916}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.65, "borrow": 0, "rationale": "Target holdings exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8812179565429688, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 3}} | ||||
| 553 | +{"ts": 1793146706.99199, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c3990ed6cdeb8739b0998b9d43a8ee65e8462d921a58aad62b30ab2f39c57949", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.5978, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 7.1386, \"holdings\": 0.0262, \"loan\": 0.0, \"equity\": 7.2589, \"margin\": 0.5, \"loan_capacity\": 0.0601, \"history\": [4.5978, 4.6648, 4.674, 4.6673, 4.5978], \"own_valuation\": 4.649, \"target_holdings\": 14.598}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.8083279132843018, "usage": {"prompt_tokens": 333, "completion_tokens": 60, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 3}} | ||||
| 554 | +{"ts": 1793146708.8037288, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4bf9e164d3ea8fb9a1124ec7945c2593472f148f8367c28dcf7a7414ef3276ad", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.5978, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0457, \"cash\": 7.0537, \"holdings\": 0.0258, \"loan\": 0.0, \"equity\": 7.1725, \"margin\": 0.5, \"loan_capacity\": 0.0594, \"history\": [4.5978, 4.6648, 4.674, 4.6673, 4.5978], \"own_valuation\": 4.645, \"target_holdings\": 13.4588}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8457229137420654, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 3}} | ||||
| 555 | +{"ts": 1793146716.454038, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "63fda0845f2716596ccb755f67869c740476802749bd8fd94c416809e12a06e4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6552, \"target_holdings\": 2.7003}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.9249801635742188, "usage": {"prompt_tokens": 309, "completion_tokens": 55, "total_tokens": 364, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 1}} | ||||
| 556 | +{"ts": 1793146718.4994938, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fe8f0af81e7a92b5968b3ccf626cfdb724d570f04eedd89465400d43f98bd876", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.054, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6533, \"target_holdings\": 2.1407}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7815709114074707, "usage": {"prompt_tokens": 309, "completion_tokens": 55, "total_tokens": 364, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 1}} | ||||
| 557 | +{"ts": 1793146723.365557, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e685e95b3adb5e2bbbc71f798849689038b6e17fd5d3a2c7755e8679a41e5115", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6462, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0558, \"cash\": 5.761, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.761, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6462], \"own_valuation\": 4.655, \"target_holdings\": 2.4927}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7985408306121826, "usage": {"prompt_tokens": 313, "completion_tokens": 55, "total_tokens": 368, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 1}} | ||||
| 558 | +{"ts": 1793146726.1425369, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "983c8fc6efd7f685cd40b7d598ae03af90321d89b23b210309c004283fe4855a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6462, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7814, \"margin\": 0.5, \"loan_capacity\": 2.3231, \"history\": [4.6458, 4.6462], \"own_valuation\": 4.6511, \"target_holdings\": 1.3857}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8075871467590332, "usage": {"prompt_tokens": 317, "completion_tokens": 55, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 559 | +{"ts": 1793146727.9517272, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "748be12969d4faedef7aee3c343ef8300dfc939fce471a5274e2510b6b448c26", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6516, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 5.8186, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8186, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6462, 4.6516], \"own_valuation\": 4.6543, \"target_holdings\": 0.7511}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.9011557102203369, "usage": {"prompt_tokens": 321, "completion_tokens": 55, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 560 | +{"ts": 1793146729.531352, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a117eb9cdee7cb7a09f8de132c1b3aa82ce7e3ffa5d8c759b7eed193a19885b7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6516, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.857, \"margin\": 0.5, \"loan_capacity\": 2.3258, \"history\": [4.6458, 4.6462, 4.6516], \"own_valuation\": 4.6475, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3792381286621094, "usage": {"prompt_tokens": 321, "completion_tokens": 55, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 561 | +{"ts": 1793146736.067392, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3fec13cae8ae7f68c0ed3598d58ccb56eb821b9cea4c53c86e7e519ba2091d0a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6394, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0434, \"cash\": 5.8768, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8768, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6462, 4.6516, 4.6394], \"own_valuation\": 4.6428, \"target_holdings\": 0.9627}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8983001708984375, "usage": {"prompt_tokens": 328, "completion_tokens": 55, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 562 | +{"ts": 1793146736.791643, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ae903726b4dafca108f2874b716c7217c727e6c2bebb753182bfa7c3873c34c4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6394, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 5.889, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.889, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6462, 4.6516, 4.6394], \"own_valuation\": 4.6454, \"target_holdings\": 1.7173}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7236237525939941, "usage": {"prompt_tokens": 326, "completion_tokens": 56, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 563 | +{"ts": 1793146744.4926138, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "50b304a71b62e0120a86c5f5208d1e033321b9a95dcb7aa83b9db69441f6153b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6402, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0562, \"cash\": 5.9479, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9479, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6462, 4.6516, 4.6394, 4.6402], \"own_valuation\": 4.6554, \"target_holdings\": 4.3487}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7631838321685791, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 564 | +{"ts": 1793146747.366813, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bbd2198c5a3cc39e1fd1bc5c4c9cff5358f57382435fe374559b890c6b2d9e0a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6402, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 5.9355, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9355, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6462, 4.6516, 4.6394, 4.6402], \"own_valuation\": 4.6573, \"target_holdings\": 4.8739}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding too high\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding too high"}, "valid": true, "error": "", "cached": false, "latency": 0.7866909503936768, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 565 | +{"ts": 1793146753.017178, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b06b67baaf0e891274137c3525caa69062c1e6f8600346d2e2dcd076cc5ee7be", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6367, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0559, \"cash\": 6.0073, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0073, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6462, 4.6516, 4.6394, 4.6402, 4.6367], \"own_valuation\": 4.6551, \"target_holdings\": 5.2452}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8380458354949951, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 566 | +{"ts": 1793146757.275328, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fc821fe1c3dbfaa5bf882d1aba072daca858fca8d85cca3d2c27a7b06b787166", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6367, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 5.9949, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9949, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6462, 4.6516, 4.6394, 4.6402, 4.6367], \"own_valuation\": 4.6511, \"target_holdings\": 4.1094}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.757086992263794, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 567 | +{"ts": 1793146759.44374, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4d6554acabc7d4935d5ca94f3c70bd8b2cb9d54617170306cf91e5a3134a5fe1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6373, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0476, \"cash\": 6.0548, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0548, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6516, 4.6394, 4.6402, 4.6367, 4.6373], \"own_valuation\": 4.6469, \"target_holdings\": 2.7439}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8255360126495361, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 568 | +{"ts": 1793146763.8995059, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b2831f2eb265c20b3425686f867beffc0848a694e167a768785d775af6eb23a5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6373, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0454, \"cash\": 6.0674, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0674, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6516, 4.6394, 4.6402, 4.6367, 4.6373], \"own_valuation\": 4.6447, \"target_holdings\": 2.1173}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7262711524963379, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 569 | +{"ts": 1793146770.9827762, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f67b4812c146fdfdf681a59d6906fa50b605c73c9233c179f47e7dd35958a09b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6419, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0542, \"cash\": 6.1281, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1281, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6394, 4.6402, 4.6367, 4.6373, 4.6419], \"own_valuation\": 4.6534, \"target_holdings\": 3.2875}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.8338031768798828, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 570 | +{"ts": 1793146771.7188668, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "502fcb8cf02b69ca2b427ee85182af6238e43676663038d2ee97e24a34aafc07", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6419, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0574, \"cash\": 6.1154, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1154, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6394, 4.6402, 4.6367, 4.6373, 4.6419], \"own_valuation\": 4.6565, \"target_holdings\": 4.19}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6565,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6565, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.7353479862213135, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 571 | +{"ts": 1793146774.866842, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7cef03c0b1e791a345e10a74f5af77129fa984cc8b7d21bcdb98b05256ff8b6b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6073, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 6.1105, \"holdings\": 0.0171, \"loan\": 0.0, \"equity\": 6.1894, \"margin\": 0.5, \"loan_capacity\": 0.0394, \"history\": [4.6402, 4.6367, 4.6373, 4.6419, 4.6408], \"own_valuation\": 4.6542, \"target_holdings\": 13.3591}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.9015767574310303, "usage": {"prompt_tokens": 336, "completion_tokens": 53, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 572 | +{"ts": 1793146776.8344479, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f1b7d7db8e92499c6bbdf33818ef71678ebfe8130a887cec2d93b14dd9dccd80", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6073, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0531, \"cash\": 6.0978, \"holdings\": 0.0171, \"loan\": 0.0, \"equity\": 6.1765, \"margin\": 0.5, \"loan_capacity\": 0.0394, \"history\": [4.6402, 4.6367, 4.6373, 4.6419, 4.6408], \"own_valuation\": 4.6523, \"target_holdings\": 12.8415}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3963000774383545, "usage": {"prompt_tokens": 336, "completion_tokens": 52, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 573 | +{"ts": 1793146781.5598211, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b1455ea40ea88621597c27ba90b75c1e856583ea4a1e8533b10557215f04abd0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6091, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.047, \"cash\": 6.1726, \"holdings\": 0.0171, \"loan\": 0.0, \"equity\": 6.2515, \"margin\": 0.5, \"loan_capacity\": 0.0395, \"history\": [4.6367, 4.6373, 4.6419, 4.6408, 4.6091], \"own_valuation\": 4.6463, \"target_holdings\": 10.5959}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7193059921264648, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 574 | +{"ts": 1793146782.980132, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1eaffae4f72416a14519e386523e9a48b2d273c34793c894276528c024458601", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6091, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.2381, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2381, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6367, 4.6373, 4.6419, 4.6408, 4.6091], \"own_valuation\": 4.6495, \"target_holdings\": 11.5283}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7457001209259033, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 575 | +{"ts": 1793146790.7265, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "809d944426365793f5d25341ee07128e49a646c07d64651527d464941db7042b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6162, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0486, \"cash\": 6.3005, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3005, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6373, 4.6419, 4.6408, 4.6091, 4.6162], \"own_valuation\": 4.6479, \"target_holdings\": 9.0203}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8450071811676025, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 576 | +{"ts": 1793146791.481056, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dce5dcbd1e8b419e7afc662e233eb9cef57933cce83e456d572609ac0c0b4c04", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6162, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0528, \"cash\": 6.314, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.314, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6373, 4.6419, 4.6408, 4.6091, 4.6162], \"own_valuation\": 4.652, \"target_holdings\": 10.2032}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.7539730072021484, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 577 | +{"ts": 1793146802.266104, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b89dddb6f8f26f6bfa745f70fc96aba8f3f9457cd47e91c2f4f546f4141a65db", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6324, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.3635, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3635, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6419, 4.6408, 4.6091, 4.6162, 4.6324], \"own_valuation\": 4.6464, \"target_holdings\": 3.9704}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.7810256481170654, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 578 | +{"ts": 1793146805.856786, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "56350fa1d5ac0dea5e0a2824b51cfb9e3c311843bb38679bf76bba0993a8cbd6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6324, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 6.3771, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3771, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6419, 4.6408, 4.6091, 4.6162, 4.6324], \"own_valuation\": 4.6538, \"target_holdings\": 6.0791}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6538,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6538, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.766273021697998, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 579 | +{"ts": 1793146811.467687, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "26f3af07f14edb628aa02c7c55b4260dcaba936508cf2c54c71dbb4b0ba0c94f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.658, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.4272, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4272, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6408, 4.6091, 4.6162, 4.6324, 4.658], \"own_valuation\": 4.6463, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.9486820697784424, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 580 | +{"ts": 1793146812.333932, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "384c4f92ed458ed2d4687102547f66c32e23a0185ac372730da12dce7cde0100", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.658, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.4409, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4409, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6408, 4.6091, 4.6162, 4.6324, 4.658], \"own_valuation\": 4.6492, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6492,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6492, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.8657312393188477, "usage": {"prompt_tokens": 331, "completion_tokens": 56, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 581 | +{"ts": 1793146817.732768, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4450638244996d03c556b9c3a6ed8556c7bd2666edb7208cdf48cef81df0fa87", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.5481, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 6.2313, \"holdings\": 0.0569, \"loan\": 0.0, \"equity\": 6.49, \"margin\": 0.5, \"loan_capacity\": 0.1294, \"history\": [4.6091, 4.6162, 4.6324, 4.658, 4.6717], \"own_valuation\": 4.6463, \"target_holdings\": 28.0185}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.7729878425598145, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 582 | +{"ts": 1793146819.701797, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bafb36fd967660ee8fc12a2bf9237f094229b58d7e3ee2f39d28a97c28b6d6e0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.5481, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.2446, \"holdings\": 0.057, \"loan\": 0.0, \"equity\": 6.5038, \"margin\": 0.5, \"loan_capacity\": 0.1296, \"history\": [4.6091, 4.6162, 4.6324, 4.658, 4.6717], \"own_valuation\": 4.6421, \"target_holdings\": 26.8096}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.7524678707122803, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 583 | +{"ts": 1793146821.8442812, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "449cd569ab043e47d190a5860a90d78cd6c40605942c586fb09198313b56db97", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.5491, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 6.2961, \"holdings\": 0.0569, \"loan\": 0.0, \"equity\": 6.5549, \"margin\": 0.5, \"loan_capacity\": 0.1294, \"history\": [4.6162, 4.6324, 4.658, 4.6717, 4.5491], \"own_valuation\": 4.6505, \"target_holdings\": 28.9056}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.8391993045806885, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 584 | +{"ts": 1793146826.284856, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cd1f33b815cf4251ce84980510889c830888fa8fb077b624813df908d560bd78", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.5491, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0496, \"cash\": 6.3095, \"holdings\": 0.057, \"loan\": 0.0, \"equity\": 6.5688, \"margin\": 0.5, \"loan_capacity\": 0.1297, \"history\": [4.6162, 4.6324, 4.658, 4.6717, 4.5491], \"own_valuation\": 4.6489, \"target_holdings\": 28.4447}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.8175399303436279, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 585 | +{"ts": 1793146829.726414, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0fe83f6b26ca58a6a485c26cb56f5454e69f9d267dc149161f2754382fef5884", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5613, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0579, \"cash\": 6.3757, \"holdings\": 0.057, \"loan\": 0.0, \"equity\": 6.6357, \"margin\": 0.5, \"loan_capacity\": 0.13, \"history\": [4.6324, 4.658, 4.6717, 4.5491, 4.5613], \"own_valuation\": 4.6571, \"target_holdings\": 27.326}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.7857632637023926, "usage": {"prompt_tokens": 332, "completion_tokens": 53, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 586 | +{"ts": 1793146830.453962, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "17e9d109b2791a393c54793ba9c4ef1419c116f52710141defa1cb8513300bea", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5613, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0429, \"cash\": 6.3621, \"holdings\": 0.0569, \"loan\": 0.0, \"equity\": 6.6215, \"margin\": 0.5, \"loan_capacity\": 0.1297, \"history\": [4.6324, 4.658, 4.6717, 4.5491, 4.5613], \"own_valuation\": 4.6422, \"target_holdings\": 23.0746}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7269930839538574, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 587 | +{"ts": 1793146841.242271, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3ae82b3ca331828fb68912bca38cfe3f7141ab82db243ec39d39c512fd373ef2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.578, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 6.5926, \"holdings\": 0.0243, \"loan\": 0.0, \"equity\": 6.7038, \"margin\": 0.5, \"loan_capacity\": 0.0556, \"history\": [4.658, 4.6717, 4.5491, 4.5613, 4.578], \"own_valuation\": 4.6505, \"target_holdings\": 20.6669}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.8405900001525879, "usage": {"prompt_tokens": 333, "completion_tokens": 53, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 588 | +{"ts": 1793146843.7623758, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fd90feea14f00ae47ae656cd6c474612e99e93bb6136224e8606ebe91757e2c6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.578, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0582, \"cash\": 6.4287, \"holdings\": 0.0569, \"loan\": 0.0, \"equity\": 6.6891, \"margin\": 0.5, \"loan_capacity\": 0.1302, \"history\": [4.658, 4.6717, 4.5491, 4.5613, 4.578], \"own_valuation\": 4.6574, \"target_holdings\": 22.6327}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.8306958675384521, "usage": {"prompt_tokens": 333, "completion_tokens": 53, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 589 | +{"ts": 1793146852.77055, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a00547c8f97347f1ce24fa63f1de7adf66c6c08fc39e412c516c158bff27b020", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6006, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0407, \"cash\": 6.7571, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7571, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6717, 4.5491, 4.5613, 4.578, 4.6006], \"own_valuation\": 4.6401, \"target_holdings\": 11.2685}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8202521800994873, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 590 | +{"ts": 1793146857.228076, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ef5cd8c09d87dbd91098fb0697a494810f5956c2e66b857828edc34a5b148849", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6006, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.7713, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7713, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6717, 4.5491, 4.5613, 4.578, 4.6006], \"own_valuation\": 4.6471, \"target_holdings\": 13.2779}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8354377746582031, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 591 | +{"ts": 1793146859.499752, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "616e9c3f2d890d48f5ae2c8d20fde96cf57023f33285f45ca8ef4f3036ba4df1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6251, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 6.8247, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8247, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5491, 4.5613, 4.578, 4.6006, 4.6251], \"own_valuation\": 4.6407, \"target_holdings\": 4.4408}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7480688095092773, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 592 | +{"ts": 1793146861.956619, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3ad5c2209e2e1f79b69b339759f62675c2e73052c4f7798ee61623c0e98de390", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6251, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.839, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.839, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5491, 4.5613, 4.578, 4.6006, 4.6251], \"own_valuation\": 4.6496, \"target_holdings\": 6.9809}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.7710211277008057, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 593 | +{"ts": 1793146871.612142, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b1ec18248e1f354f175c0325cba559cf8d878f429586b74a8cf5e1f4759b2aa0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6526, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0447, \"cash\": 6.8929, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8929, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5613, 4.578, 4.6006, 4.6251, 4.6526], \"own_valuation\": 4.644, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.644,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.644, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4530339241027832, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 594 | +{"ts": 1793146876.645171, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b0400a7ba35422620ef0df27bf733d98eb9ea3a881afe3f6fc6ea6685325d3ff", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6526, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.9074, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9074, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5613, 4.578, 4.6006, 4.6251, 4.6526], \"own_valuation\": 4.6462, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6462,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6462, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.8353159427642822, "usage": {"prompt_tokens": 331, "completion_tokens": 56, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 595 | +{"ts": 1793146880.8345, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a85a61a9c0134ad851294b392d47d73704ee369970d129f7a89a877914eee68d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6673, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 6.9765, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9765, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.578, 4.6006, 4.6251, 4.6526, 4.6673], \"own_valuation\": 4.6406, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.863318920135498, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 596 | +{"ts": 1793146884.350722, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0417e09a3bffa54979427ee663395a780de6f16731025301a8fa4e2c0ab845e2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6673, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.9619, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9619, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.578, 4.6006, 4.6251, 4.6526, 4.6673], \"own_valuation\": 4.6492, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6492,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6492, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.8255760669708252, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 597 | +{"ts": 1793146889.275957, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "649096a974fb0af540d5b428dabb1898b39b31e45524a079a21ba118d88995eb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.513, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0518, \"cash\": 6.7441, \"holdings\": 0.0669, \"loan\": 0.0, \"equity\": 7.0463, \"margin\": 0.5, \"loan_capacity\": 0.1511, \"history\": [4.6006, 4.6251, 4.6526, 4.6673, 4.6677], \"own_valuation\": 4.6511, \"target_holdings\": 39.3753}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7565650939941406, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 598 | +{"ts": 1793146892.610472, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6db1d7f0336e6f82112de1bdb8669c7b7de13e58838a180ee4112ddf0a47da52", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.513, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0453, \"cash\": 6.73, \"holdings\": 0.0668, \"loan\": 0.0, \"equity\": 7.0315, \"margin\": 0.5, \"loan_capacity\": 0.1507, \"history\": [4.6006, 4.6251, 4.6526, 4.6673, 4.6677], \"own_valuation\": 4.6446, \"target_holdings\": 37.5253}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7552189826965332, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 599 | +{"ts": 1793146901.234891, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c3d104487ace9c54e885f48ae4eb3c67528f2b49d1258e8a6df7fdfee449d7df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.5232, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0568, \"cash\": 6.8014, \"holdings\": 0.0668, \"loan\": 0.0, \"equity\": 7.1035, \"margin\": 0.5, \"loan_capacity\": 0.1511, \"history\": [4.6251, 4.6526, 4.6673, 4.6677, 4.5232], \"own_valuation\": 4.656, \"target_holdings\": 37.8728}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.8355717658996582, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 600 | +{"ts": 1793146904.510444, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "63f21f3356f5a9f8197b4dbbcfc094201f931a2cd9691b5df398949e3aed9bac", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.5232, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0548, \"cash\": 6.8157, \"holdings\": 0.0669, \"loan\": 0.0, \"equity\": 7.1185, \"margin\": 0.5, \"loan_capacity\": 0.1514, \"history\": [4.6251, 4.6526, 4.6673, 4.6677, 4.5232], \"own_valuation\": 4.654, \"target_holdings\": 37.2923}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.7743058204650879, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 601 | +{"ts": 1793146913.072002, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "55ad3c1982e39061bd516c78d2f5d13fe589e81b293a95e139121d8811fd61ad", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.5346, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0525, \"cash\": 6.8883, \"holdings\": 0.0669, \"loan\": 0.0, \"equity\": 7.1918, \"margin\": 0.5, \"loan_capacity\": 0.1518, \"history\": [4.6526, 4.6673, 4.6677, 4.5232, 4.5346], \"own_valuation\": 4.6517, \"target_holdings\": 33.4072}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.8407580852508545, "usage": {"prompt_tokens": 336, "completion_tokens": 53, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 602 | +{"ts": 1793146913.801888, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c57611f3247af3ff881628d89eb418fb183a38a6c19eae1e82206ccd217ed4b3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.5346, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 6.8738, \"holdings\": 0.0668, \"loan\": 0.0, \"equity\": 7.1767, \"margin\": 0.5, \"loan_capacity\": 0.1515, \"history\": [4.6526, 4.6673, 4.6677, 4.5232, 4.5346], \"own_valuation\": 4.6502, \"target_holdings\": 32.9783}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7293229103088379, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 603 | +{"ts": 1793146917.000591, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d3a736a031f8acafebad823ee6a258986738490a910696f9e53e3f0896fb7e5f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6503, \"target_holdings\": 1.2924}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.9197499752044678, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 604 | +{"ts": 1793146918.56454, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fe41bc0846e0f9d3178d8b967ac1b232fd3212ba812b6f5be6011e2b1844aba5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0454, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6447, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5613770484924316, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 605 | +{"ts": 1793146919.326588, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "672a1b9d233fae47eba014f7334ccfabc976979bfb7ba07f67bf9e8c4ca8a336", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6451, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0427, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7644, \"margin\": 0.5, \"loan_capacity\": 2.3226, \"history\": [4.6458, 4.6451], \"own_valuation\": 4.642, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7609632015228271, "usage": {"prompt_tokens": 315, "completion_tokens": 56, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 606 | +{"ts": 1793146920.0916202, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da1f6f48052bfafda34fa3b0ceda82c09bd1023ca543607997a53bd0859495a3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6451, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7644, \"margin\": 0.5, \"loan_capacity\": 2.3226, \"history\": [4.6458, 4.6451], \"own_valuation\": 4.6454, \"target_holdings\": 0.069}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7646157741546631, "usage": {"prompt_tokens": 316, "completion_tokens": 55, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 607 | +{"ts": 1793146933.404187, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "aeecd3234aa03ca794da230af9aafc86d01991293d295f0004f7304bf3bd053d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6502, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8247, \"margin\": 0.5, \"loan_capacity\": 2.3251, \"history\": [4.6458, 4.6451, 4.6502], \"own_valuation\": 4.6357, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6570138931274414, "usage": {"prompt_tokens": 322, "completion_tokens": 55, "total_tokens": 377, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 608 | +{"ts": 1793146935.718341, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "07dcdbdc553593e6df475f6bec9ffdb270012fa3a89e4b7014860619abfcd707", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6502, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8247, \"margin\": 0.5, \"loan_capacity\": 2.3251, \"history\": [4.6458, 4.6451, 4.6502], \"own_valuation\": 4.6417, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7787888050079346, "usage": {"prompt_tokens": 322, "completion_tokens": 55, "total_tokens": 377, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 609 | +{"ts": 1793146942.112009, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4a80b315aca1554affa318d6d0359b3e9a86320ea48aabb031d7bca2a0246246", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6352, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 5.8811, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8811, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6451, 4.6502, 4.6352], \"own_valuation\": 4.6385, \"target_holdings\": 0.9347}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8217658996582031, "usage": {"prompt_tokens": 328, "completion_tokens": 55, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 610 | +{"ts": 1793146945.492463, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f265c80d509bb654f0b10306542d6b92427afa65f3b814aa174c49e95974999c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6352, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0367, \"cash\": 5.83, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.83, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6451, 4.6502, 4.6352], \"own_valuation\": 4.6361, \"target_holdings\": 0.2659}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7606158256530762, "usage": {"prompt_tokens": 326, "completion_tokens": 55, "total_tokens": 381, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 611 | +{"ts": 1793146952.9446442, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f93192c5bf2b411c6ebc14a306bb53a2b9ad220aa38acd9c08d95a0b82883057", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6416, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0447, \"cash\": 5.8883, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8883, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6451, 4.6502, 4.6352, 4.6416], \"own_valuation\": 4.644, \"target_holdings\": 0.6748}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8663487434387207, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 612 | +{"ts": 1793146954.990217, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7332c0128f6ced35dc874dbb299625ee5b1a6b2cb554b44094857c65efa3aea3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6416, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0604, \"cash\": 5.94, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.94, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6451, 4.6502, 4.6352, 4.6416], \"own_valuation\": 4.6596, \"target_holdings\": 5.1281}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.8200149536132812, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 613 | +{"ts": 1793146958.3947608, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f94f0b6eb2ce81e1468d99ad5a1f94a051b357e9248dc475cfb08ee86533aaf2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6238, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0511, \"cash\": 5.9472, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9472, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6451, 4.6502, 4.6352, 4.6416, 4.6238], \"own_valuation\": 4.6504, \"target_holdings\": 7.5787}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8049101829528809, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 614 | +{"ts": 1793146967.31615, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1fc3bcfa42adcdcd9b04234767c6ff7206b8da6f8683e595992eb82c3ec467aa", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6238, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0575, \"cash\": 5.9993, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9993, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6451, 4.6502, 4.6352, 4.6416, 4.6238], \"own_valuation\": 4.6567, \"target_holdings\": 9.3949}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7270488739013672, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 615 | +{"ts": 1793146968.02966, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6cf934ea073bcd9b364a9862c22a38a216b5f70a72021b4c28421eab85f818b1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6109, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.0593, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0593, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6502, 4.6352, 4.6416, 4.6238, 4.6109], \"own_valuation\": 4.6489, \"target_holdings\": 10.8478}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7125120162963867, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 616 | +{"ts": 1793146968.7331939, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ed7fd04cc843278b10f4d70d94117030e3b00db7299aa9de814b68cbc3c8cdfe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6109, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0529, \"cash\": 6.0066, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0066, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6502, 4.6352, 4.6416, 4.6238, 4.6109], \"own_valuation\": 4.6521, \"target_holdings\": 11.7522}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7029409408569336, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 617 | +{"ts": 1793146983.8715599, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7aa3571cc59160b179ddf5dd1464470aeaa894e93d9928c8e588de40e90c5da8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6066, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.0667, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0667, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6352, 4.6416, 4.6238, 4.6109, 4.6066], \"own_valuation\": 4.6519, \"target_holdings\": 12.9158}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8623738288879395, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 618 | +{"ts": 1793146987.2289212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f3a61d9751604b597b59dee33426d65fbd9082bf971335fa62b28f17664f1a90", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6066, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0544, \"cash\": 6.1199, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1199, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6352, 4.6416, 4.6238, 4.6109, 4.6066], \"own_valuation\": 4.6536, \"target_holdings\": 13.4187}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8426003456115723, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 619 | +{"ts": 1793146989.224771, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a6eec9bdb3fc0dafb6c61319d9564f23c40d45c3b69ca57ec84d6ff58863fe90", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6211, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.1811, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1811, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6416, 4.6238, 4.6109, 4.6066, 4.6211], \"own_valuation\": 4.6535, \"target_holdings\": 9.25}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8409290313720703, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 620 | +{"ts": 1793146991.721132, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dc838c32b813f8e58779f01354f10c7fbeb8b908582acdb3f97243bf90324999", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6211, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 6.1274, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1274, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6416, 4.6238, 4.6109, 4.6066, 4.6211], \"own_valuation\": 4.6487, \"target_holdings\": 7.8698}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8474311828613281, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 621 | +{"ts": 1793146999.113641, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f627c8ec47ecceb948f69a760d0677e508f93e56a7084bc9192db9ea5e387284", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6404, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 6.2429, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2429, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6238, 4.6109, 4.6066, 4.6211, 4.6404], \"own_valuation\": 4.6542, \"target_holdings\": 3.9364}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7925660610198975, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 622 | +{"ts": 1793147006.31671, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "68d73090ba3f241b90166936ac3aeaa931d656cf49988a2f020ee0c90dd96b56", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6404, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.1887, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1887, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6238, 4.6109, 4.6066, 4.6211, 4.6404], \"own_valuation\": 4.6485, \"target_holdings\": 2.3276}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7637109756469727, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 623 | +{"ts": 1793147010.162119, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1281281187a4ff0c6b6d634ece6763a38cb7ea2508d4ad7502a74bb4f83bf621", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6601, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 6.2505, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2505, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6109, 4.6066, 4.6211, 4.6404, 4.6601], \"own_valuation\": 4.6524, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.9362030029296875, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 624 | +{"ts": 1793147015.611783, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "249bf2983306ce415e628a653545c73d198cf8a562223bed965aa9791ffb8dc5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6601, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0569, \"cash\": 6.3054, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3054, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6109, 4.6066, 4.6211, 4.6404, 4.6601], \"own_valuation\": 4.6561, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6561,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6561, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.7879929542541504, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 625 | +{"ts": 1793147017.677304, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c7593a75b1233782772330d7193b40b0dfce271707409d161b485d8b03a51d32", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6601, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0529, \"cash\": 6.313, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.313, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6066, 4.6211, 4.6404, 4.6601, 4.6601], \"own_valuation\": 4.6521, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.7243907451629639, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 626 | +{"ts": 1793147019.7061949, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "937ff0ee04a5509dca2e87f515b72163c9011c6f2a3598214b600fb3a9836c12", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6601, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.3684, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3684, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6066, 4.6211, 4.6404, 4.6601, 4.6601], \"own_valuation\": 4.6471, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.7452239990234375, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 627 | +{"ts": 1793147028.909322, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "21c6cb1b179c008304072d65183709f2fdab4ab5a3704206292e36566c207eee", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.4918, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.0477, \"holdings\": 0.0848, \"loan\": 0.0, \"equity\": 6.4284, \"margin\": 0.5, \"loan_capacity\": 0.1904, \"history\": [4.6211, 4.6404, 4.6601, 4.6601, 4.6675], \"own_valuation\": 4.6486, \"target_holdings\": 44.7091}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7515480518341064, "usage": {"prompt_tokens": 336, "completion_tokens": 52, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 628 | +{"ts": 1793147035.440935, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d466999afc105ae2e85cd5042d259941f9b9bd8d0bd00e6d89df30958a218067", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.4918, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 5.9951, \"holdings\": 0.084, \"loan\": 0.0, \"equity\": 6.3725, \"margin\": 0.5, \"loan_capacity\": 0.1887, \"history\": [4.6211, 4.6404, 4.6601, 4.6601, 4.6675], \"own_valuation\": 4.6491, \"target_holdings\": 44.8672}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7798938751220703, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 213}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 629 | +{"ts": 1793147041.5988538, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c2ac20534283b0718565e49301766b4682ff039b95c6fcfbfc38ec35a1e8454f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.4843, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0426, \"cash\": 6.2716, \"holdings\": 0.0377, \"loan\": 0.0, \"equity\": 6.4408, \"margin\": 0.5, \"loan_capacity\": 0.0846, \"history\": [4.6404, 4.6601, 4.6601, 4.6675, 4.4843], \"own_valuation\": 4.6419, \"target_holdings\": 44.9295}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.8126568794250488, "usage": {"prompt_tokens": 336, "completion_tokens": 52, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 630 | +{"ts": 1793147047.53374, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c1cba74a2a737d4a38253eeb22fbf16ff3281d983b8bb115851e46867258ed6c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.4843, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 6.1117, \"holdings\": 0.0848, \"loan\": 0.0, \"equity\": 6.4918, \"margin\": 0.5, \"loan_capacity\": 0.1901, \"history\": [4.6404, 4.6601, 4.6601, 4.6675, 4.4843], \"own_valuation\": 4.6441, \"target_holdings\": 45.5529}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7867288589477539, "usage": {"prompt_tokens": 336, "completion_tokens": 52, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 631 | +{"ts": 1793147048.281077, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "941681d33c5ff293488750a858d2820f78c74651253b1cba3eb3878ba29af5d4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4828, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 6.3362, \"holdings\": 0.0377, \"loan\": 0.0, \"equity\": 6.5053, \"margin\": 0.5, \"loan_capacity\": 0.0846, \"history\": [4.6601, 4.6601, 4.6675, 4.4843, 4.4828], \"own_valuation\": 4.6559, \"target_holdings\": 49.3496}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.7462570667266846, "usage": {"prompt_tokens": 336, "completion_tokens": 53, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 632 | +{"ts": 1793147052.3628821, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "786e2686e2dbac80126fec6c240c2e71ffc2252234b709e3d1313f6f9c325ec7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4828, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.1771, \"holdings\": 0.0848, \"loan\": 0.0, \"equity\": 6.557, \"margin\": 0.5, \"loan_capacity\": 0.19, \"history\": [4.6601, 4.6601, 4.6675, 4.4843, 4.4828], \"own_valuation\": 4.6435, \"target_holdings\": 45.8296}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.5869262218475342, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 633 | +{"ts": 1793147060.452801, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a575ebab4988cadcd3a925c235e3c4c3948140c063f8c09bf4fbfc97a0a4e283", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4832, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 6.243, \"holdings\": 0.0848, \"loan\": 0.0, \"equity\": 6.623, \"margin\": 0.5, \"loan_capacity\": 0.19, \"history\": [4.6601, 4.6675, 4.4843, 4.4828, 4.4832], \"own_valuation\": 4.6524, \"target_holdings\": 48.242}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.8952658176422119, "usage": {"prompt_tokens": 331, "completion_tokens": 53, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 634 | +{"ts": 1793147061.207811, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1b9337c77545463cb69decd1bffba7ae5cbacc7927dadbbf228e34e95ebb1b62", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4832, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.4015, \"holdings\": 0.0377, \"loan\": 0.0, \"equity\": 6.5706, \"margin\": 0.5, \"loan_capacity\": 0.0846, \"history\": [4.6601, 4.6675, 4.4843, 4.4828, 4.4832], \"own_valuation\": 4.6486, \"target_holdings\": 47.1469}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7546160221099854, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 635 | +{"ts": 1793147069.0738199, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f1926c12c8c09ba0ef3454d942f2baf10fc0e57d98326ef20e418082498f4dfe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.489, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0503, \"cash\": 6.3102, \"holdings\": 0.0848, \"loan\": 0.0, \"equity\": 6.6907, \"margin\": 0.5, \"loan_capacity\": 0.1902, \"history\": [4.6675, 4.4843, 4.4828, 4.4832, 4.489], \"own_valuation\": 4.6495, \"target_holdings\": 45.773}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.7474520206451416, "usage": {"prompt_tokens": 333, "completion_tokens": 53, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 636 | +{"ts": 1793147076.6156008, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7276cd194d17a61e7a09452bc5dc0bcaf5be9dbb4e210cb97f787df28984238a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.489, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.4676, \"holdings\": 0.0377, \"loan\": 0.0, \"equity\": 6.6369, \"margin\": 0.5, \"loan_capacity\": 0.0847, \"history\": [4.6675, 4.4843, 4.4828, 4.4832, 4.489], \"own_valuation\": 4.6421, \"target_holdings\": 43.6609}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7858059406280518, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 637 | +{"ts": 1793147078.641829, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2cf84aa6417f1838b69b638704f5fa7325043fe6eea8f91dfe00247100dcdcb9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5015, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.6302, \"holdings\": 0.0163, \"loan\": 0.0, \"equity\": 6.7037, \"margin\": 0.5, \"loan_capacity\": 0.0368, \"history\": [4.4843, 4.4828, 4.4832, 4.489, 4.5015], \"own_valuation\": 4.649, \"target_holdings\": 42.0549}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.8468718528747559, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 638 | +{"ts": 1793147084.856846, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ed2648dc7a663f6a100c930e8e24764ad4091c43dcd6e0f815fd16cefd7cc352", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5015, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.3772, \"holdings\": 0.0848, \"loan\": 0.0, \"equity\": 6.7588, \"margin\": 0.5, \"loan_capacity\": 0.1908, \"history\": [4.4843, 4.4828, 4.4832, 4.489, 4.5015], \"own_valuation\": 4.6519, \"target_holdings\": 42.8824}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.8073229789733887, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 639 | +{"ts": 1793147089.824209, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3867ac360bcff81762ec654e64f9588be49c542957361fb540dda2fa3c63ca83", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5205, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0525, \"cash\": 6.7709, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7709, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4828, 4.4832, 4.489, 4.5015, 4.5205], \"own_valuation\": 4.6517, \"target_holdings\": 37.4174}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.762296199798584, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 640 | +{"ts": 1793147095.991217, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fdb222b0ec6cb585c210f2cd3ebdf71d5eef3615643e7ed257664620a7287603", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5205, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 6.4452, \"holdings\": 0.0848, \"loan\": 0.0, \"equity\": 6.8284, \"margin\": 0.5, \"loan_capacity\": 0.1916, \"history\": [4.4828, 4.4832, 4.489, 4.5015, 4.5205], \"own_valuation\": 4.6437, \"target_holdings\": 35.1352}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7591197490692139, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 641 | +{"ts": 1793147099.958582, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "37ac119d742b382f19d0cdfb388eb8987d5c93d69972f6be2b7c4540a0d54c64", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5314, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 6.8947, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8947, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4832, 4.489, 4.5015, 4.5205, 4.5314], \"own_valuation\": 4.6476, \"target_holdings\": 33.1357}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8302528858184814, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 642 | +{"ts": 1793147100.706228, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "291b85dab6e295b557fd1edae80e251d241f9b51c320899444a52e9f4c818e18", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5314, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.8386, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8386, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4832, 4.489, 4.5015, 4.5205, 4.5314], \"own_valuation\": 4.6453, \"target_holdings\": 32.4669}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"buy\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "buy", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7472419738769531, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 643 | +{"ts": 1793147108.908733, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0e0b9f833f25bbe8ac90d054570ce639663ea7e71d62c613feeefe645f66f841", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.5605, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0601, \"cash\": 6.9069, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9069, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.489, 4.5015, 4.5205, 4.5314, 4.5605], \"own_valuation\": 4.6593, \"target_holdings\": 28.1576}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7816178798675537, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 644 | +{"ts": 1793147115.964499, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b1cf23e7186471b8547d1d038c64bd33425f7e96789cde9b7c69f33c44bbfa54", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.5605, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 6.9637, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9637, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.489, 4.5015, 4.5205, 4.5314, 4.5605], \"own_valuation\": 4.6572, \"target_holdings\": 27.5786}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.83119797706604, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 645 | +{"ts": 1793147117.9217112, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2772655ace029cb58b529f8e727e430ad930df53c235b8f03871ba5b3aa27e2b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5861, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0456, \"cash\": 7.0333, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0333, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5015, 4.5205, 4.5314, 4.5605, 4.5861], \"own_valuation\": 4.645, \"target_holdings\": 16.7781}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8180632591247559, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 646 | +{"ts": 1793147118.7023768, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "474b1dd361b3bd280183969a93c96d5806c491fe4ea8bbc138f0f8543aac3f98", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5861, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0492, \"cash\": 6.976, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.976, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5015, 4.5205, 4.5314, 4.5605, 4.5861], \"own_valuation\": 4.6484, \"target_holdings\": 17.7687}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7800610065460205, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 647 | +{"ts": 1793147129.1842592, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ee84e4ae826ba0ef0e9758aa35d4923f1b2e681f0f0b11efd81c3d7193f30ca2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6174, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 7.1037, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1037, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5205, 4.5314, 4.5605, 4.5861, 4.6174], \"own_valuation\": 4.6541, \"target_holdings\": 10.4631}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7840530872344971, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 648 | +{"ts": 1793147129.926521, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e562ae7434e0bbe996c362ee4ee05c2cdf171c80fc8cd05dde831c6d88d9eea5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6174, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0537, \"cash\": 7.0458, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0458, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5205, 4.5314, 4.5605, 4.5861, 4.6174], \"own_valuation\": 4.6529, \"target_holdings\": 10.1128}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7417032718658447, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 649 | +{"ts": 1793147135.964913, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "648548668df67cd1907f0a8f69ad72f34b9d6a2d84a5145bf4a8ba206ab182a0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6467, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 7.1162, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1162, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5314, 4.5605, 4.5861, 4.6174, 4.6467], \"own_valuation\": 4.6454, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.8136377334594727, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 650 | +{"ts": 1793147142.46787, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "99e0bc7258a2f0d804e186e9d9ef4a391b8b7fcdadb55257a6cb09ed4a09e062", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6467, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 7.1747, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1747, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5314, 4.5605, 4.5861, 4.6174, 4.6467], \"own_valuation\": 4.6486, \"target_holdings\": 0.5639}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.5639,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6486,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.5639, "order_type": "limit", "limit_price": 4.6486, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8286209106445312, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 651 | +{"ts": 1793147146.7606988, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "52bd4e76fb4d0a39d8e0c9b5de62336198d2d087e6da7446147a06531e94abc2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0513, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6505, \"target_holdings\": 1.3542}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8097999095916748, "usage": {"prompt_tokens": 311, "completion_tokens": 55, "total_tokens": 366, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 652 | +{"ts": 1793147147.553011, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c88a75ea9ecf2e5e530b59325e538a98519dce5ff285e32f536488e662750072", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0578, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.657, \"target_holdings\": 3.1944}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.7918908596038818, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 653 | +{"ts": 1793147155.298826, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1affcc1161acb69da9b501fa9121d137fbb98389b9dbc48f765d13c7ce582982", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6443, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0389, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7712, \"margin\": 0.5, \"loan_capacity\": 2.3222, \"history\": [4.6458, 4.6443], \"own_valuation\": 4.6382, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8435513973236084, "usage": {"prompt_tokens": 316, "completion_tokens": 55, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 654 | +{"ts": 1793147158.646944, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ac9206e501ad9aa56e7f6ca9cc921f83323c70c8cf76bc3ce1c00f9ddbd80e4d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6443, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7712, \"margin\": 0.5, \"loan_capacity\": 2.3222, \"history\": [4.6458, 4.6443], \"own_valuation\": 4.6481, \"target_holdings\": 1.0639}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Maintaining target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Maintaining target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.9030249118804932, "usage": {"prompt_tokens": 317, "completion_tokens": 57, "total_tokens": 374, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 655 | +{"ts": 1793147165.259356, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c90babf3b39521e25261d5f61140182cdfed0e3a5051aab18f93475cb4e76450", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6403, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0463, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8255, \"margin\": 0.5, \"loan_capacity\": 2.3202, \"history\": [4.6458, 4.6443, 4.6403], \"own_valuation\": 4.6456, \"target_holdings\": 1.4843}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.8449790477752686, "usage": {"prompt_tokens": 323, "completion_tokens": 55, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 656 | +{"ts": 1793147167.371809, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e9d983c918c48131eaaaf9efdc93ed9fbc247326663a4a29c552592561681a9a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6403, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0434, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8255, \"margin\": 0.5, \"loan_capacity\": 2.3202, \"history\": [4.6458, 4.6443, 4.6403], \"own_valuation\": 4.6427, \"target_holdings\": 0.6814}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.743279218673706, "usage": {"prompt_tokens": 323, "completion_tokens": 55, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 657 | +{"ts": 1793147171.830064, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9f0a3177b10548caf91c4d2b43d706d5ad9f66b79e05e000d15fe1837a03e08b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6164, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0473, \"cash\": 5.8407, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8407, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6443, 4.6403, 4.6164], \"own_valuation\": 4.6466, \"target_holdings\": 8.621}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.8650619983673096, "usage": {"prompt_tokens": 327, "completion_tokens": 56, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 658 | +{"ts": 1793147176.8757818, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bc54c1496118df55a783389ba6466e9eb10b4e9e2e347fb2da6f3267c27d25fc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6164, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0415, \"cash\": 5.8469, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8469, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6443, 4.6403, 4.6164], \"own_valuation\": 4.6409, \"target_holdings\": 6.9776}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.7434689998626709, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 659 | +{"ts": 1793147181.755113, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "acf22b3e0c058e72f668fc57e2905b9937c56f1c5511644a2708e0cf8e20d6d1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6103, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0468, \"cash\": 5.9053, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9053, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6443, 4.6403, 4.6164, 4.6103], \"own_valuation\": 4.6461, \"target_holdings\": 10.2}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.9340600967407227, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 660 | +{"ts": 1793147185.407773, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a93e336f3364c202ff95aef936975518743195a03fa96a00d3ac158e306688d4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6103, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0501, \"cash\": 5.8991, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8991, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6443, 4.6403, 4.6164, 4.6103], \"own_valuation\": 4.6493, \"target_holdings\": 11.1354}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.42618298530578613, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 661 | +{"ts": 1793147191.979927, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "88d4a66b604b00d074bb31497b9edab3df7f43caf4f45f5da5b80de47237d76c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6134, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0413, \"cash\": 5.9644, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9644, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6443, 4.6403, 4.6164, 4.6103, 4.6134], \"own_valuation\": 4.6407, \"target_holdings\": 7.7843}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.41533374786376953, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 662 | +{"ts": 1793147193.543095, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e89ed04c2b44259b49a0a06c7616c3f955c9a7514ee12c9d3b624d8ec0ee9a2c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6134, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0386, \"cash\": 5.9581, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9581, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6443, 4.6403, 4.6164, 4.6103, 4.6134], \"own_valuation\": 4.638, \"target_holdings\": 7.0208}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44089603424072266, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 663 | +{"ts": 1793147197.0823429, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2ba272b853d3364993d58df92550018cca2db20aa2b79f53385de44a97a9d2ec", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6179, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0347, \"cash\": 6.024, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.024, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6403, 4.6164, 4.6103, 4.6134, 4.6179], \"own_valuation\": 4.6341, \"target_holdings\": 4.6168}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4637899398803711, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 664 | +{"ts": 1793147198.934266, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "88062a5b710704287fbc908459a4eb9645a14bf78982fc02eca82a443ee83e94", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6179, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0424, \"cash\": 6.0177, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0177, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6403, 4.6164, 4.6103, 4.6134, 4.6179], \"own_valuation\": 4.6418, \"target_holdings\": 6.8052}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4011986255645752, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 665 | +{"ts": 1793147207.47765, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9f714c14a5e43010eea615a5cc2a53b04a36be3b047c99444beaeb424473805d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6345, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.04, \"cash\": 6.0778, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0778, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6164, 4.6103, 4.6134, 4.6179, 4.6345], \"own_valuation\": 4.6393, \"target_holdings\": 1.378}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.47165417671203613, "usage": {"prompt_tokens": 331, "completion_tokens": 56, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 666 | +{"ts": 1793147208.537409, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "70880a863d2032ac12ef0f5238d564d99615c8e2b27e79fb48cf183e8d4723e0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6345, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.0843, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0843, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6164, 4.6103, 4.6134, 4.6179, 4.6345], \"own_valuation\": 4.6357, \"target_holdings\": 0.3304}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3834571838378906, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 667 | +{"ts": 1793147212.124407, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "636cdf17cfec2840160b660944728dcffe0ee6b61d786916c9128f42bb73d5a1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.626, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 6.1207, \"holdings\": 0.0039, \"loan\": 0.0, \"equity\": 6.1386, \"margin\": 0.5, \"loan_capacity\": 0.009, \"history\": [4.6103, 4.6134, 4.6179, 4.6345, 4.6335], \"own_valuation\": 4.6489, \"target_holdings\": 6.5324}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.5227880477905273, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 668 | +{"ts": 1793147212.528102, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c372991263739c929835ae45b4afef0a91a4f592d942cfebb7fb24888b834ce7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.626, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0478, \"cash\": 6.1272, \"holdings\": 0.0039, \"loan\": 0.0, \"equity\": 6.1451, \"margin\": 0.5, \"loan_capacity\": 0.009, \"history\": [4.6103, 4.6134, 4.6179, 4.6345, 4.6335], \"own_valuation\": 4.6471, \"target_holdings\": 6.0141}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4031028747558594, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 669 | +{"ts": 1793147215.7974012, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "20099d1cc84470b4e17644676b2b48674d3f2ab2750625c011ea8a020824d200", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.644, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0653, \"cash\": 6.1999, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1999, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6134, 4.6179, 4.6345, 4.6335, 4.644], \"own_valuation\": 4.6644, \"target_holdings\": 5.8316}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6644,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6644, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.521190881729126, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 670 | +{"ts": 1793147221.564422, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2c75a6fc209c5d87671791de03d21fbeeafd2392189878bde0442cbee1df72b4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.644, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0691, \"cash\": 6.2065, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2065, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6134, 4.6179, 4.6345, 4.6335, 4.644], \"own_valuation\": 4.6682, \"target_holdings\": 6.9102}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6682,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6682, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.523953914642334, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 671 | +{"ts": 1793147230.048786, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da49dbc86a9f66d6945fd7fcdfa09cec4ee416237566a8a5186c73c72855dbb2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6404, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0589, \"cash\": 6.2619, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2619, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6179, 4.6345, 4.6335, 4.644, 4.6404], \"own_valuation\": 4.6581, \"target_holdings\": 5.0435}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4318521022796631, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 672 | +{"ts": 1793147230.474826, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "142e210f1790c33e8bdaae0877c928744711c0efdfb7f21fed0fe9cb8d6a186f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6404, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.061, \"cash\": 6.2686, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2686, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6179, 4.6345, 4.6335, 4.644, 4.6404], \"own_valuation\": 4.6602, \"target_holdings\": 5.6467}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.425551176071167, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 673 | +{"ts": 1793147232.575379, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b7f6307c1e9b5ac4fe57b79e552a94498180faf4e399bc7343f3a72ff3525233", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6472, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 6.3312, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3312, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6345, 4.6335, 4.644, 4.6404, 4.6472], \"own_valuation\": 4.6537, \"target_holdings\": 1.8435}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.8435,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6537,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.8435, "order_type": "limit", "limit_price": 4.6537, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5273122787475586, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 674 | +{"ts": 1793147237.345699, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "caac4f617734e62e3f9bf756dbe33201a349ebe7008601548a84e88eace41e91", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6472, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.054, \"cash\": 6.3245, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3245, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6345, 4.6335, 4.644, 4.6404, 4.6472], \"own_valuation\": 4.6532, \"target_holdings\": 1.7006}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.7006,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6532,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.7006, "order_type": "limit", "limit_price": 4.6532, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4585580825805664, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 675 | +{"ts": 1793147237.814784, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d65a015ce6e1e1a81b43449fc2ba6edfe71020dfb27b138731b801d5617b4807", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6429, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.3945, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3945, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6335, 4.644, 4.6404, 4.6472, 4.6429], \"own_valuation\": 4.6535, \"target_holdings\": 3.0091}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.46807026863098145, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 676 | +{"ts": 1793147242.533259, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "458ccfeb20a71090ed17d55aeebfdae954ab716fa00f1fd30504f0123196841f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6429, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.3878, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3878, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6335, 4.644, 4.6404, 4.6472, 4.6429], \"own_valuation\": 4.6433, \"target_holdings\": 0.0929}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0929,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0929, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.47039198875427246, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 677 | +{"ts": 1793147246.127693, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7cd6575605a9d29c6d3b61da52708a6072fa67fc2a20ef0ebcb3e924c789b700", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.4403, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0542, \"cash\": 6.0423, \"holdings\": 0.0937, \"loan\": 0.0, \"equity\": 6.4585, \"margin\": 0.5, \"loan_capacity\": 0.2081, \"history\": [4.644, 4.6404, 4.6472, 4.6429, 4.6351], \"own_valuation\": 4.6534, \"target_holdings\": 60.7498}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.44721412658691406, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 3}} | ||||
| 678 | +{"ts": 1793147246.613463, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "de855d4333e92ddcf4025080014484098f438c0406586c345666a6232f399bf2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.4403, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0415, \"cash\": 6.0359, \"holdings\": 0.0936, \"loan\": 0.0, \"equity\": 6.4517, \"margin\": 0.5, \"loan_capacity\": 0.2079, \"history\": [4.644, 4.6404, 4.6472, 4.6429, 4.6351], \"own_valuation\": 4.6409, \"target_holdings\": 57.1765}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.48522329330444336, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 3}} | ||||
| 679 | +{"ts": 1793147256.446213, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b0652a5b6674f9d28090c4ce75ba633d510e8ad6691104db20c7c80f94c945d8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4361, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0443, \"cash\": 6.2288, \"holdings\": 0.065, \"loan\": 0.0, \"equity\": 6.517, \"margin\": 0.5, \"loan_capacity\": 0.1441, \"history\": [4.6404, 4.6472, 4.6429, 4.6351, 4.4361], \"own_valuation\": 4.6436, \"target_holdings\": 59.1484}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4566798210144043, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 3}} | ||||
| 680 | +{"ts": 1793147257.600405, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ce41de06c316f3aa85e4d73788052b47401cc4a9f68610daff18ab54f8519896", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.4361, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0435, \"cash\": 6.1061, \"holdings\": 0.0937, \"loan\": 0.0, \"equity\": 6.5219, \"margin\": 0.5, \"loan_capacity\": 0.2079, \"history\": [4.6404, 4.6472, 4.6429, 4.6351, 4.4361], \"own_valuation\": 4.6428, \"target_holdings\": 58.9312}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.38359594345092773, "usage": {"prompt_tokens": 336, "completion_tokens": 53, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 3}} | ||||
| 681 | +{"ts": 1793147262.456149, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "34f2adfb54eba05e6486c4df3c3ac6e1f7c00acfa7d55bda363c942de1d7aad3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4469, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0422, \"cash\": 6.1709, \"holdings\": 0.0937, \"loan\": 0.0, \"equity\": 6.5877, \"margin\": 0.5, \"loan_capacity\": 0.2084, \"history\": [4.6472, 4.6429, 4.6351, 4.4361, 4.4469], \"own_valuation\": 4.6415, \"target_holdings\": 55.4949}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.5252048969268799, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 3}} | ||||
| 682 | +{"ts": 1793147263.632343, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "082d431062cf1f7462d311bd1d4b80307939433e0834a367f617fcef708af4db", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4469, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0459, \"cash\": 6.2936, \"holdings\": 0.065, \"loan\": 0.0, \"equity\": 6.5826, \"margin\": 0.5, \"loan_capacity\": 0.1445, \"history\": [4.6472, 4.6429, 4.6351, 4.4361, 4.4469], \"own_valuation\": 4.6452, \"target_holdings\": 56.5457}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.36872386932373047, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 3}} | ||||
| 683 | +{"ts": 1793147267.1752179, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "025663a55d38868fe2c32276c32d895e61ce893cbbb986c256f84c5cf5aa94e7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.4618, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0408, \"cash\": 6.2372, \"holdings\": 0.0937, \"loan\": 0.0, \"equity\": 6.6555, \"margin\": 0.5, \"loan_capacity\": 0.2091, \"history\": [4.6429, 4.6351, 4.4361, 4.4469, 4.4618], \"own_valuation\": 4.6402, \"target_holdings\": 50.852}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.5212249755859375, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 3}} | ||||
| 684 | +{"ts": 1793147269.154998, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4c3f5c6bb5da27d9c876a118466188c42f1c945b630bfffbff5cd11f6e1e821b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.4618, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0524, \"cash\": 6.3598, \"holdings\": 0.065, \"loan\": 0.0, \"equity\": 6.6497, \"margin\": 0.5, \"loan_capacity\": 0.145, \"history\": [4.6429, 4.6351, 4.4361, 4.4469, 4.4618], \"own_valuation\": 4.6517, \"target_holdings\": 54.1313}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4815182685852051, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 3}} | ||||
| 685 | +{"ts": 1793147272.173167, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "786800f4388cc35118e10c729d2ea8c77ff59ec65bb590ddddc2d60f4badb307", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.4643, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.057, \"cash\": 6.3041, \"holdings\": 0.0937, \"loan\": 0.0, \"equity\": 6.7225, \"margin\": 0.5, \"loan_capacity\": 0.2092, \"history\": [4.6351, 4.4361, 4.4469, 4.4618, 4.4643], \"own_valuation\": 4.6562, \"target_holdings\": 54.7063}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.44104599952697754, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 3}} | ||||
| 686 | +{"ts": 1793147276.089215, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "96dbd516ed181b3f4b75d8de9bf2a214892dc2fa17cdfe45a5eb06d355ce4954", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.4643, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0549, \"cash\": 6.4265, \"holdings\": 0.065, \"loan\": 0.0, \"equity\": 6.7166, \"margin\": 0.5, \"loan_capacity\": 0.1451, \"history\": [4.6351, 4.4361, 4.4469, 4.4618, 4.4643], \"own_valuation\": 4.6541, \"target_holdings\": 54.1119}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.43631792068481445, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 3}} | ||||
| 687 | +{"ts": 1793147280.2806132, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "21e167cfbc5a788641fb23faa4f3074c0f92b33247c14a6dbc408a1e517a0053", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.4706, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0624, \"cash\": 6.4946, \"holdings\": 0.065, \"loan\": 0.0, \"equity\": 6.7851, \"margin\": 0.5, \"loan_capacity\": 0.1453, \"history\": [4.4361, 4.4469, 4.4618, 4.4643, 4.4706], \"own_valuation\": 4.6615, \"target_holdings\": 54.4378}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.5190079212188721, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 3}} | ||||
| 688 | +{"ts": 1793147281.891367, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ced2cf1fcef4ba6aaf3aa91eab0f3f847ae58b6cc387a2eae2b5e1b24e801194", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.4706, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0536, \"cash\": 6.3726, \"holdings\": 0.0937, \"loan\": 0.0, \"equity\": 6.7917, \"margin\": 0.5, \"loan_capacity\": 0.2095, \"history\": [4.4361, 4.4469, 4.4618, 4.4643, 4.4706], \"own_valuation\": 4.6528, \"target_holdings\": 51.9678}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.40686988830566406, "usage": {"prompt_tokens": 336, "completion_tokens": 53, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 3}} | ||||
| 689 | +{"ts": 1793147291.939479, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "066063f92124c4432fd0c5278907b3e38ea47492d5354885b2a3188143d3fc05", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.4817, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.5629, \"holdings\": 0.065, \"loan\": 0.0, \"equity\": 6.8542, \"margin\": 0.5, \"loan_capacity\": 0.1456, \"history\": [4.4469, 4.4618, 4.4643, 4.4706, 4.4817], \"own_valuation\": 4.6519, \"target_holdings\": 48.5208}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4230179786682129, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 3}} | ||||
| 690 | +{"ts": 1793147293.913932, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cd17d136893aafaee3bfac702d59983f7398c6ccc906157ea1b8d36914879b4e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.4817, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.4413, \"holdings\": 0.0937, \"loan\": 0.0, \"equity\": 6.8614, \"margin\": 0.5, \"loan_capacity\": 0.21, \"history\": [4.4469, 4.4618, 4.4643, 4.4706, 4.4817], \"own_valuation\": 4.6477, \"target_holdings\": 47.3438}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44664692878723145, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 3}} | ||||
| 691 | +{"ts": 1793147295.11226, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d6c82c893dc3d5c481acda9bc4eed760cf99855f3c65908c88b6e5997a6bd9b6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.4966, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.049, \"cash\": 6.6319, \"holdings\": 0.065, \"loan\": 0.0, \"equity\": 6.9241, \"margin\": 0.5, \"loan_capacity\": 0.1461, \"history\": [4.4618, 4.4643, 4.4706, 4.4817, 4.4966], \"own_valuation\": 4.6482, \"target_holdings\": 43.2458}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.382429838180542, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 3}} | ||||
| 692 | +{"ts": 1793147295.4959722, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9d5010d45894b635a187d57dba6d3cd99939bb9563eee6619a0e8b0c96b62a3a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.4966, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0544, \"cash\": 6.9315, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9315, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4618, 4.4643, 4.4706, 4.4817, 4.4966], \"own_valuation\": 4.6536, \"target_holdings\": 44.7752}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.38321781158447266, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 3}} | ||||
| 693 | +{"ts": 1793147302.0190349, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8b678144f121eea6703fef7d8b699b8eb0257a8478363e1caf74cdccb759dd8b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5179, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.058, \"cash\": 6.994, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.994, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4643, 4.4706, 4.4817, 4.4966, 4.5179], \"own_valuation\": 4.6572, \"target_holdings\": 39.7265}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4259510040283203, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 3}} | ||||
| 694 | +{"ts": 1793147305.5649931, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5ea66e4bd470664e75c21f86cc376dca0a85bb8fa7f4ebb455f6584623bc636a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5179, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 7.0008, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0008, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4643, 4.4706, 4.4817, 4.4966, 4.5179], \"own_valuation\": 4.6514, \"target_holdings\": 38.0538}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45510101318359375, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 3}} | ||||
| 695 | +{"ts": 1793147311.2137222, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7d381c8b1d4f5f0dee47f55a8beede2ebf9cacba28918a30fa0467bbd337e76f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.5441, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.0524, \"cash\": 7.0639, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0639, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4706, 4.4817, 4.4966, 4.5179, 4.5441], \"own_valuation\": 4.6517, \"target_holdings\": 30.6609}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5197529792785645, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 3}} | ||||
| 696 | +{"ts": 1793147313.7348669, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c97f9fc9f886646e4c5f4f5299e193bf34c28c8bb8da12f9a8d45e04f56ce4b0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.5441, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.055, \"cash\": 7.0708, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0708, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4706, 4.4817, 4.4966, 4.5179, 4.5441], \"own_valuation\": 4.6542, \"target_holdings\": 31.3861}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5136189460754395, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 212}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 3}} | ||||
| 697 | +{"ts": 1793147315.622538, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "91f9e7e1815412f03a7de748ec8077e87875a0f37e6da0b82f85214cdde9007b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.57, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0497, \"cash\": 7.1346, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1346, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4817, 4.4966, 4.5179, 4.5441, 4.57], \"own_valuation\": 4.649, \"target_holdings\": 22.5185}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.41182589530944824, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 3}} | ||||
| 698 | +{"ts": 1793147320.129513, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0bbcfe1100d484d75fdfdeba6552679faaced71d670fb9c728c3c11e7da278a7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.57, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0457, \"cash\": 7.1416, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1416, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4817, 4.4966, 4.5179, 4.5441, 4.57], \"own_valuation\": 4.645, \"target_holdings\": 21.3792}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4534010887145996, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 211}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 3}} | ||||
| 699 | +{"ts": 1793147323.359602, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3c88c9e999e2884909ace3b59b250d19f65467f819bb0f4be2e674d3ab7ac5c1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6525, \"target_holdings\": 1.9154}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.47719502449035645, "usage": {"prompt_tokens": 310, "completion_tokens": 61, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 1}} | ||||
| 700 | +{"ts": 1793147325.988818, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3c88c9e999e2884909ace3b59b250d19f65467f819bb0f4be2e674d3ab7ac5c1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6525, \"target_holdings\": 1.9154}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.40729284286499023, "usage": {"prompt_tokens": 310, "completion_tokens": 61, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 1}} | ||||
| 701 | +{"ts": 1793147331.665482, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "638f76e8862df18a8e58794b2d447f5eead6645c9cfb63325747009c2670d161", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6524, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7875, \"margin\": 0.5, \"loan_capacity\": 2.3262, \"history\": [4.6458, 4.6524], \"own_valuation\": 4.6589, \"target_holdings\": 1.8501}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.5266597270965576, "usage": {"prompt_tokens": 317, "completion_tokens": 61, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 1}} | ||||
| 702 | +{"ts": 1793147334.171828, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "638f76e8862df18a8e58794b2d447f5eead6645c9cfb63325747009c2670d161", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6524, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7875, \"margin\": 0.5, \"loan_capacity\": 2.3262, \"history\": [4.6458, 4.6524], \"own_valuation\": 4.6589, \"target_holdings\": 1.8501}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.41033506393432617, "usage": {"prompt_tokens": 317, "completion_tokens": 61, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 316}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 703 | +{"ts": 1793147336.387617, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "23bf3ed63c1293af0149bac1b6c7529dfb5f4b0c8802614b9a84506f13d63cb4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6675, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8728, \"margin\": 0.5, \"loan_capacity\": 2.3337, \"history\": [4.6458, 4.6524, 4.6675], \"own_valuation\": 4.6385, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5288970470428467, "usage": {"prompt_tokens": 322, "completion_tokens": 64, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 704 | +{"ts": 1793147337.558689, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "23bf3ed63c1293af0149bac1b6c7529dfb5f4b0c8802614b9a84506f13d63cb4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6675, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8728, \"margin\": 0.5, \"loan_capacity\": 2.3337, \"history\": [4.6458, 4.6524, 4.6675], \"own_valuation\": 4.6385, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.35889506340026855, "usage": {"prompt_tokens": 322, "completion_tokens": 64, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 321}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 705 | +{"ts": 1793147345.611831, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "686a5b2c07d6778fa119abf6062b8b6848a91072d3b3de7c5e79e28b67da1227", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6636, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0498, \"cash\": 3.5963, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.9281, \"margin\": 0.5, \"loan_capacity\": 1.1659, \"history\": [4.6458, 4.6524, 4.6675, 4.6636], \"own_valuation\": 4.6491, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.65, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4856290817260742, "usage": {"prompt_tokens": 328, "completion_tokens": 60, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 706 | +{"ts": 1793147346.040788, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fe87d5b28d8729d53097ee266cc0cb55ffb64e8d369d484d7950ce379280de87", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6636, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0498, \"cash\": 3.5776, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.9094, \"margin\": 0.5, \"loan_capacity\": 1.1659, \"history\": [4.6458, 4.6524, 4.6675, 4.6636], \"own_valuation\": 4.6491, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.42832422256469727, "usage": {"prompt_tokens": 328, "completion_tokens": 64, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 707 | +{"ts": 1793147350.730422, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "eb10263968151a09af21428f9157f3f9db48fa17140475a4b8933e907063e2a5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6511, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 5.9794, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9794, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6524, 4.6675, 4.6636, 4.6511], \"own_valuation\": 4.6565, \"target_holdings\": 1.5311}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid overpaying\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid overpaying"}, "valid": true, "error": "", "cached": false, "latency": 0.45692896842956543, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 708 | +{"ts": 1793147353.706832, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e0cf5e1dd815156a4695ce28c575000270bfbaa79b81390c36c847a1cad0caf7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6511, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 4.1052, \"holdings\": 0.4, \"loan\": 0.0, \"equity\": 5.9657, \"margin\": 0.5, \"loan_capacity\": 0.9302, \"history\": [4.6458, 4.6524, 4.6675, 4.6636, 4.6511], \"own_valuation\": 4.6565, \"target_holdings\": 1.5311}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4307701587677002, "usage": {"prompt_tokens": 335, "completion_tokens": 56, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 709 | +{"ts": 1793147365.947102, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "eede9209ef23e5bee46b869146960fd0e619aed3d36b11cc3f65009878cc50ad", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6428, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 6.0392, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0392, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6524, 4.6675, 4.6636, 4.6511, 4.6428], \"own_valuation\": 4.65, \"target_holdings\": 2.046}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4682590961456299, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 710 | +{"ts": 1793147366.362636, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c607cf2883b81f220ceb03544e5f27c8fbbfc878191bd47c084ccce1613b8e27", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6428, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 4.6315, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 6.0244, \"margin\": 0.5, \"loan_capacity\": 0.6964, \"history\": [4.6524, 4.6675, 4.6636, 4.6511, 4.6428], \"own_valuation\": 4.65, \"target_holdings\": 2.046}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.4149510860443115, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 711 | +{"ts": 1793147368.410435, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7c617e3284a4af4ee5011ad589a71a2f7fe8d2da4c17c1e8d50eedf57ef4dab2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6454, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 6.0995, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0995, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6675, 4.6636, 4.6511, 4.6428, 4.6454], \"own_valuation\": 4.6513, \"target_holdings\": 1.6947}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4389371871948242, "usage": {"prompt_tokens": 333, "completion_tokens": 64, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 712 | +{"ts": 1793147372.229462, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "157177415c9c1273406f33cbddefe3d45f992c57ba491ee1630bee229f7a047c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6454, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 4.6924, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 6.086, \"margin\": 0.5, \"loan_capacity\": 0.6968, \"history\": [4.6675, 4.6636, 4.6511, 4.6428, 4.6454], \"own_valuation\": 4.6513, \"target_holdings\": 1.6947}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.42986297607421875, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 218}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 713 | +{"ts": 1793147383.5676, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2650ac3e1b5fb881e240c385de70b69b4d7e8069a042d2b2b069f03a92d001b1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6462, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0472, \"cash\": 6.1605, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1605, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6636, 4.6511, 4.6428, 4.6454, 4.6462], \"own_valuation\": 4.6465, \"target_holdings\": 0.0858}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0858,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6465,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0858, "order_type": "limit", "limit_price": 4.6465, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5216329097747803, "usage": {"prompt_tokens": 334, "completion_tokens": 58, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 714 | +{"ts": 1793147383.972554, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b5dfda11fd308ff636cb41b08a37715bd1bdf0bdc771d667a58c4367bbe4e31c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6462, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0472, \"cash\": 5.2191, \"holdings\": 0.2, \"loan\": 0.0, \"equity\": 6.1483, \"margin\": 0.5, \"loan_capacity\": 0.4646, \"history\": [4.6636, 4.6511, 4.6428, 4.6454, 4.6462], \"own_valuation\": 4.6465, \"target_holdings\": 0.0858}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded, sell to meet target\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded, sell to meet target"}, "valid": true, "error": "", "cached": false, "latency": 0.40433526039123535, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 715 | +{"ts": 1793147385.9087281, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "72489b10871f8c19bbd75eb49eef0dbf4e398177362fdefe3861e4e45be56fc5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6355, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.2, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6511, 4.6428, 4.6454, 4.6462, 4.6355], \"own_valuation\": 4.6563, \"target_holdings\": 5.9293}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4301631450653076, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 716 | +{"ts": 1793147387.167326, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "54de7b5d4d708d3aabd2fbb90e309ef87329b2d378c2de16bc851de982eb12f0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6355, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.2221, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2221, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6511, 4.6428, 4.6454, 4.6462, 4.6355], \"own_valuation\": 4.6563, \"target_holdings\": 5.9293}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.45298290252685547, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 717 | +{"ts": 1793147394.198775, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "deff864acfa725cfc345605a398034b79e50ab563ca66d23199d00102b439959", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6421, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.2844, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2844, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6428, 4.6454, 4.6462, 4.6355, 4.6421], \"own_valuation\": 4.6535, \"target_holdings\": 3.2488}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.47345399856567383, "usage": {"prompt_tokens": 333, "completion_tokens": 62, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 718 | +{"ts": 1793147400.7542021, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8641935776326cf8649d9af2cf7676cfcae947c578bca611d8befde2d349e59e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6421, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.262, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.262, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6428, 4.6454, 4.6462, 4.6355, 4.6421], \"own_valuation\": 4.6535, \"target_holdings\": 3.2488}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.7600843906402588, "usage": {"prompt_tokens": 418, "completion_tokens": 56, "total_tokens": 474, "prompt_tokens_details": {"cached_tokens": 377}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 719 | +{"ts": 1793147402.05677, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4b74a45f390b74906579ef81f331a2e420d0f57cbd5f37a4d6befa81feb6d119", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6447, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0504, \"cash\": 6.3472, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3472, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6454, 4.6462, 4.6355, 4.6421, 4.6447], \"own_valuation\": 4.6496, \"target_holdings\": 1.3983}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.511265754699707, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 720 | +{"ts": 1793147406.551525, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e0cd78ee0c02f9aa51ac273fe7f152b8debd159ac576aef2de2a75a551771307", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6447, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0504, \"cash\": 6.3246, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3246, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6454, 4.6462, 4.6355, 4.6421, 4.6447], \"own_valuation\": 4.6496, \"target_holdings\": 1.3983}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.5112721920013428, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 721 | +{"ts": 1793147411.356294, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "40cb42bb1d9d04fe93c28fe7b91273e7af58de7d03d0d42a47b1b89ede3fa05a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6447, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 6.3878, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3879, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6462, 4.6355, 4.6421, 4.6447, 4.6447], \"own_valuation\": 4.65, \"target_holdings\": 1.5061}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5249500274658203, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 722 | +{"ts": 1793147414.131265, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ebc4bb0a6031a5ad1654032dc46fd3bb444da75337b509e8aa482e4bd74f217a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6447, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 6.4107, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4107, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6462, 4.6355, 4.6421, 4.6447, 4.6447], \"own_valuation\": 4.65, \"target_holdings\": 1.5061}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4055161476135254, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 723 | +{"ts": 1793147421.317698, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2cd22cb36c41d8b1e441b13c29ea44bb06072b16a994d9f1694e42c9f7bb7bbe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.65, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.044, \"cash\": 6.4517, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4517, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6355, 4.6421, 4.6447, 4.6447, 4.65], \"own_valuation\": 4.6433, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5237970352172852, "usage": {"prompt_tokens": 330, "completion_tokens": 67, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 724 | +{"ts": 1793147425.823328, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cd3eeaf37a1fb1edea7d75ed35c5a358b5cba4bbc33de650a74a408f28465aff", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.65, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.044, \"cash\": 6.4748, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4748, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6355, 4.6421, 4.6447, 4.6447, 4.65], \"own_valuation\": 4.6433, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4644358158111572, "usage": {"prompt_tokens": 330, "completion_tokens": 67, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 725 | +{"ts": 1793147429.347154, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "64b72567c09097464fea89ab47157c46c9561b00a690ea138030dfdf9da3fdd4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6404, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.5395, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5395, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6421, 4.6447, 4.6447, 4.65, 4.6404], \"own_valuation\": 4.6392, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6392,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6392, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43959498405456543, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 726 | +{"ts": 1793147433.621963, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "608cd2c6bd6d51c3dfb422b9466d30c7cda410287c17aa43b8b9658c81300d8f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6404, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.5162, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5163, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6421, 4.6447, 4.6447, 4.65, 4.6404], \"own_valuation\": 4.6392, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6392,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6392, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.46120190620422363, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 727 | +{"ts": 1793147436.8543758, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ebff9b172aae33bfb4132c840638a4bc96ac848df630bcd1acb9023fbd3d0710", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.623, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 6.6049, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6049, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6447, 4.6447, 4.65, 4.6404, 4.623], \"own_valuation\": 4.6511, \"target_holdings\": 8.0061}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4653761386871338, "usage": {"prompt_tokens": 331, "completion_tokens": 63, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 728 | +{"ts": 1793147442.291792, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "122aed53ee453b087153106c9599f4c237932c47f12c1442110f814084075279", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.623, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 6.5814, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5814, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6447, 4.6447, 4.65, 4.6404, 4.623], \"own_valuation\": 4.6511, \"target_holdings\": 8.0061}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.49020814895629883, "usage": {"prompt_tokens": 331, "completion_tokens": 63, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 729 | +{"ts": 1793147442.812727, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "93669136cd8c2347c82dd4a360ce92ec731f87089fe9f9ba4f644e4c7bf7b715", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6144, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 6.6472, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6472, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6447, 4.65, 4.6404, 4.623, 4.6144], \"own_valuation\": 4.6502, \"target_holdings\": 10.2139}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5197780132293701, "usage": {"prompt_tokens": 331, "completion_tokens": 63, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 730 | +{"ts": 1793147443.250587, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8aed4263c8add2b437438003d1443598ca1275fcb4889c60da5a5e0a1a8038d6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6144, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 6.671, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.671, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6447, 4.65, 4.6404, 4.623, 4.6144], \"own_valuation\": 4.6502, \"target_holdings\": 10.2139}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4372987747192383, "usage": {"prompt_tokens": 329, "completion_tokens": 63, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 731 | +{"ts": 1793147454.644417, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d93bcfc9ac9dac9a48554e2e133e03c94a21656567d2a8f29ec7b4ae1c593775", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6261, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.7137, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7137, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.65, 4.6404, 4.623, 4.6144, 4.6261], \"own_valuation\": 4.6486, \"target_holdings\": 6.4185}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5020060539245605, "usage": {"prompt_tokens": 332, "completion_tokens": 63, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 732 | +{"ts": 1793147455.827115, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "746b46fcb2fca876a94c60ea4f204394acb0f782a83c388cac6202c104252d95", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6261, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.7377, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7377, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.65, 4.6404, 4.623, 4.6144, 4.6261], \"own_valuation\": 4.6486, \"target_holdings\": 6.4185}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4162602424621582, "usage": {"prompt_tokens": 332, "completion_tokens": 63, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 733 | +{"ts": 1793147462.9541771, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da69b205644de9f31f86e62819451023cbca76d6aa4cb62796b64b611a84f4e2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6217, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.8051, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8051, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6404, 4.623, 4.6144, 4.6261, 4.6217], \"own_valuation\": 4.6357, \"target_holdings\": 4.001}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43523478507995605, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 734 | +{"ts": 1793147467.45807, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ba8254de976d53887dfc060b6abd68ce2d760a959f531f3d3e0be17f3521ded2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6217, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.7808, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7808, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6404, 4.623, 4.6144, 4.6261, 4.6217], \"own_valuation\": 4.6357, \"target_holdings\": 4.001}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.46157383918762207, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 735 | +{"ts": 1793147472.969999, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dd1e15dc01d40099ea070eb7349856e171e819daf180c9e753f8b3dee3b3ab15", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6188, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 6.8731, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8731, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.623, 4.6144, 4.6261, 4.6217, 4.6188], \"own_valuation\": 4.65, \"target_holdings\": 8.8951}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4906957149505615, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 736 | +{"ts": 1793147475.944472, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1c9ba3e9548a7d23baff25e640d31e24e73974c93fee3d037198648379237e9b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6188, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 6.8486, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8486, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.623, 4.6144, 4.6261, 4.6217, 4.6188], \"own_valuation\": 4.65, \"target_holdings\": 8.8951}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.407991886138916, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 737 | +{"ts": 1793147481.089091, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0e90bfce86ba8336ae5fe17ac08055fe438b04617edce1cae8e59a25e04e67bf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6273, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.9171, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9171, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6144, 4.6261, 4.6217, 4.6188, 4.6273], \"own_valuation\": 4.6435, \"target_holdings\": 4.6193}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4447031021118164, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 738 | +{"ts": 1793147484.4966872, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "300a22956a2de95999610d6d2b276378100a9d533c12a06fe25bd09af4c9e560", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6273, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.9418, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9419, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6144, 4.6261, 4.6217, 4.6188, 4.6273], \"own_valuation\": 4.6435, \"target_holdings\": 4.6193}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6193,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6193, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.456326961517334, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 739 | +{"ts": 1793147487.376087, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1363a856c335e58dfade76d0dfe8f90d1ffb38ed5c6e122b7a863c5b5980e2ea", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6273, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 7.0113, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0113, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6261, 4.6217, 4.6188, 4.6273, 4.6273], \"own_valuation\": 4.6393, \"target_holdings\": 3.4257}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.5227887630462646, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 740 | +{"ts": 1793147493.904059, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "10fc70ff9ddbdc5c87f5b69b0631946bfc29bcb7de1be22cd423204e8982c117", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6273, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.9863, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9863, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6261, 4.6217, 4.6188, 4.6273, 4.6273], \"own_valuation\": 4.6393, \"target_holdings\": 3.4257}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6393,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6393, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.41972899436950684, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 741 | +{"ts": 1793147494.335238, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "355fc00f913ef40bc2adcb79b5c3af7fe2ca8b3414827b884a9d4449c33aa152", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6422, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0606, \"cash\": 7.0814, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0814, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6217, 4.6188, 4.6273, 4.6273, 4.6422], \"own_valuation\": 4.6597, \"target_holdings\": 5.0068}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.43045496940612793, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 742 | +{"ts": 1793147494.755627, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dd033390371075b84fa93f06df621a0193f64504a9512ad23bf94c1f62be18e6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6422, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0606, \"cash\": 7.0561, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0562, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6217, 4.6188, 4.6273, 4.6273, 4.6422], \"own_valuation\": 4.6597, \"target_holdings\": 5.0068}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4197120666503906, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 743 | +{"ts": 1793147503.385095, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f24fbf8cc538efd87ea5d47d38235ec93628c372b2b3a3301350311d2b200d19", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6596, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.062, \"cash\": 7.1522, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1522, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6188, 4.6273, 4.6273, 4.6422, 4.6596], \"own_valuation\": 4.6611, \"target_holdings\": 0.4237}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.4237,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6611,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.4237, "order_type": "limit", "limit_price": 4.6611, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4656717777252197, "usage": {"prompt_tokens": 333, "completion_tokens": 58, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 744 | +{"ts": 1793147503.76961, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8051bb033f2f27c009f888bc3553bc53ffc31d152b9433b0ee217114add4bc18", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6596, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.062, \"cash\": 7.1267, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1267, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6188, 4.6273, 4.6273, 4.6422, 4.6596], \"own_valuation\": 4.6611, \"target_holdings\": 0.4237}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.4237,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6611,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.4237, "order_type": "limit", "limit_price": 4.6611, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.3840792179107666, "usage": {"prompt_tokens": 333, "completion_tokens": 58, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 745 | +{"ts": 1793147518.517301, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "186c0fee1455ee1b36e72aee6a2e27fdca30daa09a47c94e78788df54087bc58", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6672, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0373, \"cash\": 7.198, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.198, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6273, 4.6273, 4.6422, 4.6596, 4.6672], \"own_valuation\": 4.6367, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6367,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6367, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.47403907775878906, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 746 | +{"ts": 1793147518.912331, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1a5e21cd66be29a9cd3278e4817b6fb5bed4a9c6d64595c0a1cfa326ccdc8d07", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6672, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0373, \"cash\": 7.2237, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.2237, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6273, 4.6273, 4.6422, 4.6596, 4.6672], \"own_valuation\": 4.6367, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6367,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6367, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.3946199417114258, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 747 | +{"ts": 1793147522.31345, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "99365630a93c89ef9b9a3def33603dfbde8866b274fd8afe51277dd6fa205265", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6437, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0, so holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 0.5013041496276855, "usage": {"prompt_tokens": 310, "completion_tokens": 64, "total_tokens": 374, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 748 | +{"ts": 1793147524.1033092, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "99365630a93c89ef9b9a3def33603dfbde8866b274fd8afe51277dd6fa205265", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6437, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0, so holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 0.403062105178833, "usage": {"prompt_tokens": 310, "completion_tokens": 64, "total_tokens": 374, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 749 | +{"ts": 1793147524.522437, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "000fdab33401b4729632ca8d9eeb5e0d23da5fba72bbd62c607f727d19118ffb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6379, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0374, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7571, \"margin\": 0.5, \"loan_capacity\": 2.319, \"history\": [4.6458, 4.6379], \"own_valuation\": 4.6368, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6368,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6368, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.41812682151794434, "usage": {"prompt_tokens": 315, "completion_tokens": 57, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 750 | +{"ts": 1793147524.9619021, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "000fdab33401b4729632ca8d9eeb5e0d23da5fba72bbd62c607f727d19118ffb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6379, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0374, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7571, \"margin\": 0.5, \"loan_capacity\": 2.319, \"history\": [4.6458, 4.6379], \"own_valuation\": 4.6368, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6368,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6368, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43888425827026367, "usage": {"prompt_tokens": 315, "completion_tokens": 57, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 314}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 751 | +{"ts": 1793147535.61306, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d9a7afa426b595ff7d027b94578b44fec23ad1cee344b41cc8f11dc9a2a4d4b6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6208, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0318, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7954, \"margin\": 0.5, \"loan_capacity\": 2.3104, \"history\": [4.6458, 4.6379, 4.6208], \"own_valuation\": 4.6313, \"target_holdings\": 2.9733}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5234963893890381, "usage": {"prompt_tokens": 323, "completion_tokens": 64, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 752 | +{"ts": 1793147537.630291, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d9a7afa426b595ff7d027b94578b44fec23ad1cee344b41cc8f11dc9a2a4d4b6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6208, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0318, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7954, \"margin\": 0.5, \"loan_capacity\": 2.3104, \"history\": [4.6458, 4.6379, 4.6208], \"own_valuation\": 4.6313, \"target_holdings\": 2.9733}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4075441360473633, "usage": {"prompt_tokens": 323, "completion_tokens": 64, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 322}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 753 | +{"ts": 1793147546.830336, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "260410886d3827b397cd25b15a3bba838c349d28be4ae805cf3b3f28d5600055", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6188, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.8503, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8503, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6379, 4.6208, 4.6188], \"own_valuation\": 4.6475, \"target_holdings\": 8.2071}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.8339378833770752, "usage": {"prompt_tokens": 415, "completion_tokens": 56, "total_tokens": 471, "prompt_tokens_details": {"cached_tokens": 374}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 754 | +{"ts": 1793147548.8132858, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bffecc140433637c8c776b87cb690fa2ac5f0a94d686b70a26e33d0a17c94a1d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6188, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.8445, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8445, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6379, 4.6208, 4.6188], \"own_valuation\": 4.6475, \"target_holdings\": 8.2071}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.42812585830688477, "usage": {"prompt_tokens": 328, "completion_tokens": 63, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 755 | +{"ts": 1793147553.5655758, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "11c0a53fff47f92f7ed387ab7e02453318ea9a828722c13940b77712052d724a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6165, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0594, \"cash\": 5.9088, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9088, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6379, 4.6208, 4.6188, 4.6165], \"own_valuation\": 4.6585, \"target_holdings\": 11.9776}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.46524691581726074, "usage": {"prompt_tokens": 334, "completion_tokens": 60, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 756 | +{"ts": 1793147556.4017432, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8910d1cca2470d4eaa02b6cf0a5b3fdf3e900b7e8aadcade1ac44ea58de472e5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6165, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0594, \"cash\": 5.903, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.903, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6379, 4.6208, 4.6188, 4.6165], \"own_valuation\": 4.6585, \"target_holdings\": 11.9776}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6165,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6165, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.44480204582214355, "usage": {"prompt_tokens": 332, "completion_tokens": 64, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 757 | +{"ts": 1793147557.555197, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bb0ced88fa5a3e449ec6ecdcaac2472d7c169854f4cde038a4286f15e45e1f61", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6387, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0656, \"cash\": 5.9679, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9679, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6379, 4.6208, 4.6188, 4.6165, 4.6387], \"own_valuation\": 4.6647, \"target_holdings\": 7.4103}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is close to the price"}, "valid": true, "error": "", "cached": false, "latency": 0.4120211601257324, "usage": {"prompt_tokens": 334, "completion_tokens": 59, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 758 | +{"ts": 1793147561.58253, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "65051e5011727bdd40c17753b8c712aa58cd9b1d2ea6d3ceab7a50e41b15f317", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6387, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0656, \"cash\": 5.962, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.962, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6379, 4.6208, 4.6188, 4.6165, 4.6387], \"own_valuation\": 4.6647, \"target_holdings\": 7.4103}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6647,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6647, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4289538860321045, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 759 | +{"ts": 1793147566.553431, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f86ab1075ade7d697bfc3e5186bcbae964dbe9c49269e12d85708e3150ad21d1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6491, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0665, \"cash\": 6.0216, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0216, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6208, 4.6188, 4.6165, 4.6387, 4.6491], \"own_valuation\": 4.6656, \"target_holdings\": 4.6952}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6656,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6656, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.47061610221862793, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 760 | +{"ts": 1793147571.878438, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c7477835e4fcf78ad309b0de14aa3d0467bea30c350668bd4de80bc321cc103f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6491, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0665, \"cash\": 6.0276, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0276, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6208, 4.6188, 4.6165, 4.6387, 4.6491], \"own_valuation\": 4.6656, \"target_holdings\": 4.6952}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6656,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6656, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43935203552246094, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 761 | +{"ts": 1793147575.719906, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ac261762c66a278529a8821e16f6abcdf4f2f651aa0f7c141a85417ec0c9948b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6491, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0608, \"cash\": 6.0818, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0818, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6188, 4.6165, 4.6387, 4.6491, 4.6491], \"own_valuation\": 4.66, \"target_holdings\": 3.1006}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4512510299682617, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 762 | +{"ts": 1793147579.378067, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d2e9f7a3dbdcac02b3881c3207111d890975050aaf1db7c487947e002d161f3e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6491, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0608, \"cash\": 6.0878, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0878, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6188, 4.6165, 4.6387, 4.6491, 4.6491], \"own_valuation\": 4.66, \"target_holdings\": 3.1006}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.47513484954833984, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 763 | +{"ts": 1793147584.7581298, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "44b264b568527edb7b9a6f5660cac0384b9684bbb7ce6f41c71cb4db9843804b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.66, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0475, \"cash\": 6.1427, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1427, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6165, 4.6387, 4.6491, 4.6491, 4.66], \"own_valuation\": 4.6468, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5147340297698975, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 764 | +{"ts": 1793147587.520253, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "091f46672ce1c486aaa79ce2c917c25f6d041edb06ce154cd274635c05a605da", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.66, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0475, \"cash\": 6.1487, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1487, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6165, 4.6387, 4.6491, 4.6491, 4.66], \"own_valuation\": 4.6468, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.6051421165466309, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 765 | +{"ts": 1793147598.188141, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3858a44ada5f96d249108b8989dd811817a9b770cc0ecf97eb5aaebd329c6f8a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6543, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0595, \"cash\": 6.1951, \"holdings\": 0.0019, \"loan\": 0.0, \"equity\": 6.2041, \"margin\": 0.5, \"loan_capacity\": 0.0045, \"history\": [4.6387, 4.6491, 4.6491, 4.66, 4.6581], \"own_valuation\": 4.6587, \"target_holdings\": 1.2658}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0019,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.0019, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4710121154785156, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 766 | +{"ts": 1793147598.628278, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "262e9b3dafba95a47e4f5969e4c51b84941920db701cffecce9b28fe9ee66ac6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6543, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0595, \"cash\": 6.2012, \"holdings\": 0.0019, \"loan\": 0.0, \"equity\": 6.2102, \"margin\": 0.5, \"loan_capacity\": 0.0045, \"history\": [4.6387, 4.6491, 4.6491, 4.66, 4.6581], \"own_valuation\": 4.6587, \"target_holdings\": 1.2658}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0019,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0019, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.43956995010375977, "usage": {"prompt_tokens": 335, "completion_tokens": 65, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 767 | +{"ts": 1793147602.497278, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6716a0ff9c0c94fb52fbd31c62c11721a39c741b256e1c762bb7a25f62aa87ea", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6367, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.2633, \"holdings\": 0.0019, \"loan\": 0.0, \"equity\": 6.2723, \"margin\": 0.5, \"loan_capacity\": 0.0045, \"history\": [4.6491, 4.6491, 4.66, 4.6581, 4.6367], \"own_valuation\": 4.6422, \"target_holdings\": 1.55}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0019,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.0019, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.4921989440917969, "usage": {"prompt_tokens": 334, "completion_tokens": 62, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 768 | +{"ts": 1793147606.3931038, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "18a003c9ef02bb6f707a0d9ec4d67ce4c984f20febd335314ab9e866162544eb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6367, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.2571, \"holdings\": 0.0019, \"loan\": 0.0, \"equity\": 6.2661, \"margin\": 0.5, \"loan_capacity\": 0.0045, \"history\": [4.6491, 4.6491, 4.66, 4.6581, 4.6367], \"own_valuation\": 4.6422, \"target_holdings\": 1.55}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0019,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.0019, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.6002438068389893, "usage": {"prompt_tokens": 334, "completion_tokens": 62, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 769 | +{"ts": 1793147612.176129, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "625d25646b40359785eb957d0f015b7dea18727cbd96a215d49fe28afcceaca1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6492, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.3286, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3288, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6491, 4.66, 4.6581, 4.6367, 4.6492], \"own_valuation\": 4.6477, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.48398423194885254, "usage": {"prompt_tokens": 333, "completion_tokens": 67, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 770 | +{"ts": 1793147612.6108758, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b94bebe89c1e280f61ea54906821f1738ba07f303504dbc75e1619ca88abe10d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6492, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.3348, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.335, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6491, 4.66, 4.6581, 4.6367, 4.6492], \"own_valuation\": 4.6477, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.43433189392089844, "usage": {"prompt_tokens": 332, "completion_tokens": 67, "total_tokens": 399, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 771 | +{"ts": 1793147617.924497, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e4c7652ec2941990ca6dcfe4f9bf9c19c12681621f459ed79cf87d53d704e6aa", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6415, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0393, \"cash\": 6.3919, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3921, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.66, 4.6581, 4.6367, 4.6492, 4.6415], \"own_valuation\": 4.6387, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6387,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6387, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5211179256439209, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 772 | +{"ts": 1793147619.786867, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5ed642d9ec8b5375a333beb8dc3dca055d88403954e521253349c1b0da092b55", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6415, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0393, \"cash\": 6.3981, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3983, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.66, 4.6581, 4.6367, 4.6492, 4.6415], \"own_valuation\": 4.6387, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6387,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6387, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43733906745910645, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 773 | +{"ts": 1793147624.2182488, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "693ebb5e8fb1ed1f608e78d7c73a4701eccd1b1649412fd2d661602de8975486", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6267, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.4621, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4623, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6581, 4.6367, 4.6492, 4.6415, 4.6267], \"own_valuation\": 4.6432, \"target_holdings\": 4.7057}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6432,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6432, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4549107551574707, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 774 | +{"ts": 1793147624.636825, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6e2882505c25ca2b395b3771d19f8bced428f09435580fa2c305ade63e2059e1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6267, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.4558, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.456, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6581, 4.6367, 4.6492, 4.6415, 4.6267], \"own_valuation\": 4.6432, \"target_holdings\": 4.7057}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6432,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6432, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.41815972328186035, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 775 | +{"ts": 1793147631.632715, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f054dbf4d2dc38c47b2aca2eec9041725f95603c5be8b1b7e83c154ab6481432", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6233, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.5204, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5206, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6367, 4.6492, 4.6415, 4.6267, 4.6233], \"own_valuation\": 4.6422, \"target_holdings\": 5.3729}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4849729537963867, "usage": {"prompt_tokens": 335, "completion_tokens": 61, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 776 | +{"ts": 1793147632.084912, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4d59bed73869dc9b56db21a8baebb00cac450d2bda2e67f5aee50f9503d9d501", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6233, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.5267, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5269, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6367, 4.6492, 4.6415, 4.6267, 4.6233], \"own_valuation\": 4.6422, \"target_holdings\": 5.3729}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.45168399810791016, "usage": {"prompt_tokens": 335, "completion_tokens": 61, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 777 | +{"ts": 1793147643.090108, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "030f0e5ce12fd6be091fc66f26327578d32859c1e652516373015af0e87413d6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.629, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 6.5856, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5858, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6492, 4.6415, 4.6267, 4.6233, 4.629], \"own_valuation\": 4.6552, \"target_holdings\": 7.4438}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.5209012031555176, "usage": {"prompt_tokens": 331, "completion_tokens": 62, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 778 | +{"ts": 1793147643.502249, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "21e413fdcf0c0999b3d0cea1e64ce47b39dd3fea8aed3dc23338dfaad249bd34", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.629, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 6.592, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5922, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6492, 4.6415, 4.6267, 4.6233, 4.629], \"own_valuation\": 4.6552, \"target_holdings\": 7.4438}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.65, "borrow": 0, "rationale": "Moderate risk, dividend is close to the price"}, "valid": true, "error": "", "cached": false, "latency": 0.41185784339904785, "usage": {"prompt_tokens": 330, "completion_tokens": 59, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 218}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 779 | +{"ts": 1793147650.725027, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ff9c302b165d2597b3be9bdd1f4b5c9e2327fc1204f2cf04b978626005c84862", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6369, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.048, \"cash\": 6.6516, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6516, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6415, 4.6267, 4.6233, 4.629, 4.6369], \"own_valuation\": 4.6472, \"target_holdings\": 2.9511}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, holding steady\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, holding steady"}, "valid": true, "error": "", "cached": false, "latency": 0.47900915145874023, "usage": {"prompt_tokens": 332, "completion_tokens": 59, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 780 | +{"ts": 1793147652.004847, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "64c703268166505349708d460465a7503214ae14a1466ef806833cd65b4f3186", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6369, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.048, \"cash\": 6.6579, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6581, \"margin\": 0.5, \"loan_capacity\": 0.0001, \"history\": [4.6415, 4.6267, 4.6233, 4.629, 4.6369], \"own_valuation\": 4.6472, \"target_holdings\": 2.9511}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.48275089263916016, "usage": {"prompt_tokens": 333, "completion_tokens": 64, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 781 | +{"ts": 1793147656.723725, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cb2f7db415f35e48889e7323f4e4e20d92035c96698f68ecd62a098dcb5998ca", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6478, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.7247, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7247, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6267, 4.6233, 4.629, 4.6369, 4.6478], \"own_valuation\": 4.6491, \"target_holdings\": 0.3725}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.3725,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.3725, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5228731632232666, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 782 | +{"ts": 1793147662.562569, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3c32dc030741b5b83f65e949d8bf4b7eddbb5a4d757d9834805455314f14a88f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6478, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.7181, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7181, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6267, 4.6233, 4.629, 4.6369, 4.6478], \"own_valuation\": 4.6491, \"target_holdings\": 0.3725}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.3725,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.3725, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.45728302001953125, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 783 | +{"ts": 1793147667.210328, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6c6b13fb0c803d76916107d2e7bd143ca9831b8dcfa9b3abe017b71369165d2a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6517, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.7853, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7853, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6233, 4.629, 4.6369, 4.6478, 4.6517], \"own_valuation\": 4.6453, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6453,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6453, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5996561050415039, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 784 | +{"ts": 1793147670.5639858, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2267e7be95d6b85e1b47746e26da5c16a404646a582a9ba3851deed4958db9ca", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6517, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.7919, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7919, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6233, 4.629, 4.6369, 4.6478, 4.6517], \"own_valuation\": 4.6453, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6453,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6453, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.41849780082702637, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 785 | +{"ts": 1793147672.4539762, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ec7c76183061d015a3a10c821f589ae6342f26eed4809f9d04f2307c644dac43", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6407, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 6.8532, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8532, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.629, 4.6369, 4.6478, 4.6517, 4.6407], \"own_valuation\": 4.648, \"target_holdings\": 2.0998}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, holding at target\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, holding at target"}, "valid": true, "error": "", "cached": false, "latency": 0.49816226959228516, "usage": {"prompt_tokens": 332, "completion_tokens": 60, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 786 | +{"ts": 1793147678.001197, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5c2a07d5f13753ed2f8cf96b7269753a7c57b0f627fc85494d220934b8acc612", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6407, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 6.8598, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8598, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.629, 4.6369, 4.6478, 4.6517, 4.6407], \"own_valuation\": 4.648, \"target_holdings\": 2.0998}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4928419589996338, "usage": {"prompt_tokens": 332, "completion_tokens": 63, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 787 | +{"ts": 1793147681.89069, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c2bd61e2890a5dbb2a02d3bb2916601ea204a91996093cd3a070e6f212cf3d60", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6348, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.9284, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9284, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6369, 4.6478, 4.6517, 4.6407, 4.6348], \"own_valuation\": 4.6477, \"target_holdings\": 3.6841}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5238561630249023, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 788 | +{"ts": 1793147687.661621, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f0445276b4b910f2992f348fcebc70b022c7acb91c916d142151027b916f3f7c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6348, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.9217, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9217, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6369, 4.6478, 4.6517, 4.6407, 4.6348], \"own_valuation\": 4.6477, \"target_holdings\": 3.6841}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5006179809570312, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 789 | +{"ts": 1793147689.546884, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "00d1cf9a7b7ed1a51b079d7a4bb7e460722800d55f653294c9d0b0b4b2d821f4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6465, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0474, \"cash\": 6.9909, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9909, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6478, 4.6517, 4.6407, 4.6348, 4.6465], \"own_valuation\": 4.6467, \"target_holdings\": 0.0665}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0665,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6467,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0665, "order_type": "limit", "limit_price": 4.6467, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4522438049316406, "usage": {"prompt_tokens": 334, "completion_tokens": 58, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 790 | +{"ts": 1793147689.949822, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "724b47831982b866563bc1d33e1102f08656a758530ed56bbcfa1b8bf5032acf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6465, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0474, \"cash\": 6.9977, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9977, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6478, 4.6517, 4.6407, 4.6348, 4.6465], \"own_valuation\": 4.6467, \"target_holdings\": 0.0665}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0665,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6467,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0665, "order_type": "limit", "limit_price": 4.6467, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.40245985984802246, "usage": {"prompt_tokens": 334, "completion_tokens": 58, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 791 | +{"ts": 1793147695.559092, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "573e2e870e1618071dd216679ea83a422c80d0a0d971fa80aef1b4a5c2ec42f9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6396, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 7.0608, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0608, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6517, 4.6407, 4.6348, 4.6465, 4.6396], \"own_valuation\": 4.6538, \"target_holdings\": 4.0245}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4892449378967285, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 792 | +{"ts": 1793147700.240802, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a2c739e627acdec60122d59d8537eeed3322aeda4fe30c700111ee78d6a03358", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6396, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 7.0677, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0677, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6517, 4.6407, 4.6348, 4.6465, 4.6396], \"own_valuation\": 4.6538, \"target_holdings\": 4.0245}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.46764683723449707, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 793 | +{"ts": 1793147705.483232, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "20756ae4110d06639e2ab8d6385d26507b15dfa9f0cd18dd46010621bc80f6cc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6493, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1384, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1384, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6407, 4.6348, 4.6465, 4.6396, 4.6493], \"own_valuation\": 4.6476, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.47985100746154785, "usage": {"prompt_tokens": 333, "completion_tokens": 67, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 794 | +{"ts": 1793147707.423979, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6d4299e3e52dd841f5466796eb9206ee94bba330f14b2eb3daadd52a86366d66", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6493, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1314, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1314, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6407, 4.6348, 4.6465, 4.6396, 4.6493], \"own_valuation\": 4.6476, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.48049306869506836, "usage": {"prompt_tokens": 333, "completion_tokens": 67, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 795 | +{"ts": 1793147713.349289, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "34ac27e905525d775fbd6d6776b7ddf7484536cb3fdc2412b4d2d3b9479b1618", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0403, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6397, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding is 0, so holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 0.5247471332550049, "usage": {"prompt_tokens": 310, "completion_tokens": 64, "total_tokens": 374, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 796 | +{"ts": 1793147713.711563, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "34ac27e905525d775fbd6d6776b7ddf7484536cb3fdc2412b4d2d3b9479b1618", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0403, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6397, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding is 0, so holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 0.36176490783691406, "usage": {"prompt_tokens": 310, "completion_tokens": 64, "total_tokens": 374, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 797 | +{"ts": 1793147721.73759, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9f0160ae1bd52320aeedc4cd829e7e8121bae246ea732d011ff98507be1f270b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6375, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7644, \"margin\": 0.5, \"loan_capacity\": 2.3187, \"history\": [4.6458, 4.6375], \"own_valuation\": 4.6445, \"target_holdings\": 1.9969}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.5959258079528809, "usage": {"prompt_tokens": 317, "completion_tokens": 61, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 798 | +{"ts": 1793147724.421223, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9f0160ae1bd52320aeedc4cd829e7e8121bae246ea732d011ff98507be1f270b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6375, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7644, \"margin\": 0.5, \"loan_capacity\": 2.3187, \"history\": [4.6458, 4.6375], \"own_valuation\": 4.6445, \"target_holdings\": 1.9969}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.41445088386535645, "usage": {"prompt_tokens": 317, "completion_tokens": 61, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 316}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 799 | +{"ts": 1793147728.8566022, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "24b4ff33603c63a075771fe7a428fa25dbb2aed1a3bd0ba48d146ca2af12c1b9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6352, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8204, \"margin\": 0.5, \"loan_capacity\": 2.3176, \"history\": [4.6458, 4.6375, 4.6352], \"own_valuation\": 4.6389, \"target_holdings\": 1.0502}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.05,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.05, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5047879219055176, "usage": {"prompt_tokens": 323, "completion_tokens": 64, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 800 | +{"ts": 1793147730.721405, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "24b4ff33603c63a075771fe7a428fa25dbb2aed1a3bd0ba48d146ca2af12c1b9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6352, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8204, \"margin\": 0.5, \"loan_capacity\": 2.3176, \"history\": [4.6458, 4.6375, 4.6352], \"own_valuation\": 4.6389, \"target_holdings\": 1.0502}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.05,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.05, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.36867213249206543, "usage": {"prompt_tokens": 323, "completion_tokens": 64, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 322}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 801 | +{"ts": 1793147735.896372, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8a0d597e031912588355aa5d681b69f038887ae77b52c4709191a5a181d797b6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6209, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 1.47, \"holdings\": 0.95, \"loan\": 0.0, \"equity\": 5.8599, \"margin\": 0.5, \"loan_capacity\": 2.1949, \"history\": [4.6458, 4.6375, 4.6352, 4.6209], \"own_valuation\": 4.6441, \"target_holdings\": 6.6142}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.4795680046081543, "usage": {"prompt_tokens": 328, "completion_tokens": 59, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 802 | +{"ts": 1793147739.322301, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a86dd7d5cfe9236b4381cfe19b0b303af39244b50e1845530161d4b8f78a7c42", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6209, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 1.4722, \"holdings\": 0.95, \"loan\": 0.0, \"equity\": 5.862, \"margin\": 0.5, \"loan_capacity\": 2.1949, \"history\": [4.6458, 4.6375, 4.6352, 4.6209], \"own_valuation\": 4.6441, \"target_holdings\": 6.6142}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.4635603427886963, "usage": {"prompt_tokens": 328, "completion_tokens": 59, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 803 | +{"ts": 1793147745.558665, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "029a059ed4ae338d0bb50e036251f7c54ab6a7819b224ec68f82e5115fb41c89", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6171, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 5.906, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.906, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6375, 4.6352, 4.6209, 4.6171], \"own_valuation\": 4.6416, \"target_holdings\": 7.0017}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is slightly higher than expected\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is slightly higher than expected"}, "valid": true, "error": "", "cached": false, "latency": 0.48105597496032715, "usage": {"prompt_tokens": 332, "completion_tokens": 59, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 804 | +{"ts": 1793147747.599562, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da94fac8bf7f9e5bbd07e08a5c180adf284bf933480aa7ed50477d5757198e0f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6171, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 5.9125, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9125, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6375, 4.6352, 4.6209, 4.6171], \"own_valuation\": 4.6416, \"target_holdings\": 7.0017}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is slightly higher than expected\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is slightly higher than expected"}, "valid": true, "error": "", "cached": false, "latency": 0.40871500968933105, "usage": {"prompt_tokens": 334, "completion_tokens": 59, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 805 | +{"ts": 1793147749.594656, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cd9f55a3206a4ba85057dfde5d7cf319fa74d8bf378819a53942fcc3f91df73b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6247, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0236, \"cash\": 5.965, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.965, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6375, 4.6352, 4.6209, 4.6171, 4.6247], \"own_valuation\": 4.6232, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.49792003631591797, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 806 | +{"ts": 1793147754.517231, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fcfa74ca151d1b3104cc1b05de0758ebc652c1bc34c42f95a4b3b62822695ef5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6247, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0236, \"cash\": 5.9716, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9716, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6375, 4.6352, 4.6209, 4.6171, 4.6247], \"own_valuation\": 4.6232, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4608149528503418, "usage": {"prompt_tokens": 333, "completion_tokens": 65, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 807 | +{"ts": 1793147759.905913, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c252cec27c85b8bcdac7c6a1f315bf02cbdb4caf5a600002b5fc2975b1bdb9fd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6055, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.017, \"holdings\": 0.0017, \"loan\": 0.0, \"equity\": 6.0247, \"margin\": 0.5, \"loan_capacity\": 0.0038, \"history\": [4.6352, 4.6209, 4.6171, 4.6247, 4.6085], \"own_valuation\": 4.6348, \"target_holdings\": 8.3571}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0017,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0017, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5962300300598145, "usage": {"prompt_tokens": 335, "completion_tokens": 65, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 808 | +{"ts": 1793147764.477497, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1cea68d6b61f1a8e0159a5abeff5ec9747e2298aaa8488b2795a497b96d090f3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6055, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.0237, \"holdings\": 0.0017, \"loan\": 0.0, \"equity\": 6.0314, \"margin\": 0.5, \"loan_capacity\": 0.0039, \"history\": [4.6352, 4.6209, 4.6171, 4.6247, 4.6085], \"own_valuation\": 4.6348, \"target_holdings\": 8.3571}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0017,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0017, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4674210548400879, "usage": {"prompt_tokens": 336, "completion_tokens": 65, "total_tokens": 401, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 809 | +{"ts": 1793147773.486222, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "47a9538b388d1a4ac30dbb9842399ce1b083369af04e2af24331fc3724b331d8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.5938, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0355, \"cash\": 6.0772, \"holdings\": 0.0017, \"loan\": 0.0, \"equity\": 6.0849, \"margin\": 0.5, \"loan_capacity\": 0.0038, \"history\": [4.6209, 4.6171, 4.6247, 4.6085, 4.5938], \"own_valuation\": 4.6349, \"target_holdings\": 11.7134}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0017,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.0017, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.4740908145904541, "usage": {"prompt_tokens": 335, "completion_tokens": 62, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 810 | +{"ts": 1793147774.692499, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e72b8b2e24bf5fc58fc020ea3eb22416b0a612fee204c49892364f2cae49a559", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.5938, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0355, \"cash\": 6.0839, \"holdings\": 0.0017, \"loan\": 0.0, \"equity\": 6.0916, \"margin\": 0.5, \"loan_capacity\": 0.0038, \"history\": [4.6209, 4.6171, 4.6247, 4.6085, 4.5938], \"own_valuation\": 4.6349, \"target_holdings\": 11.7134}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0017,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.0017, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.44954395294189453, "usage": {"prompt_tokens": 335, "completion_tokens": 62, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 811 | +{"ts": 1793147778.530838, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7054357fbcf5e8b1b44f8a96598c5b42991fcdc3e086a44a8b01f85e6d1b373b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.5956, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0692, \"cash\": 6.138, \"holdings\": 0.0017, \"loan\": 0.0, \"equity\": 6.1457, \"margin\": 0.5, \"loan_capacity\": 0.0038, \"history\": [4.6171, 4.6247, 4.6085, 4.5938, 4.5956], \"own_valuation\": 4.6683, \"target_holdings\": 20.7256}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0017,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0017, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5099120140075684, "usage": {"prompt_tokens": 335, "completion_tokens": 65, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 812 | +{"ts": 1793147783.606124, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ce971dd5a396cf8454f67ec980906df43b6e3ee12e44809898c87d0a5745de09", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.5956, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0692, \"cash\": 6.1448, \"holdings\": 0.0017, \"loan\": 0.0, \"equity\": 6.1525, \"margin\": 0.5, \"loan_capacity\": 0.0038, \"history\": [4.6171, 4.6247, 4.6085, 4.5938, 4.5956], \"own_valuation\": 4.6683, \"target_holdings\": 20.7256}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0017,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0017, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5223798751831055, "usage": {"prompt_tokens": 336, "completion_tokens": 65, "total_tokens": 401, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 813 | +{"ts": 1793147784.8167171, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "01345c32c2052d83d592702e5562128e3ebd396945a791c60b19b1f5c693b893", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6028, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 6.2141, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2141, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6247, 4.6085, 4.5938, 4.5956, 4.6028], \"own_valuation\": 4.6587, \"target_holdings\": 15.9539}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.43203091621398926, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 814 | +{"ts": 1793147790.2024162, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a2742856a92253a8127ebc04c65dd72cf892725be7217fcf78c500362680472e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6028, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 6.2072, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2072, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6247, 4.6085, 4.5938, 4.5956, 4.6028], \"own_valuation\": 4.6587, \"target_holdings\": 15.9539}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4412658214569092, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 815 | +{"ts": 1793147797.757652, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8270cd32b760805bd50900c0ef51906f922c4286f805aa0688849aa0f4d7f235", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6042, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.2762, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2762, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6085, 4.5938, 4.5956, 4.6028, 4.6042], \"own_valuation\": 4.6563, \"target_holdings\": 14.8499}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is low, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.5965988636016846, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 816 | +{"ts": 1793147798.1856441, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "18afa935540eb62ae5d8c2acab6fb7b4028c3bbe43e36fb82ee3c601651e9c2d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6042, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.2692, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2692, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6085, 4.5938, 4.5956, 4.6028, 4.6042], \"own_valuation\": 4.6563, \"target_holdings\": 14.8499}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is low, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is low, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.4276101589202881, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 817 | +{"ts": 1793147802.55777, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5b67db88b1295008001de77ecd41c62960adf2feb2c8742869063864cac46dc3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6371, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0527, \"cash\": 6.3319, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3319, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5938, 4.5956, 4.6028, 4.6042, 4.6371], \"own_valuation\": 4.6519, \"target_holdings\": 4.2273}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, dividend is close to the price"}, "valid": true, "error": "", "cached": false, "latency": 0.451840877532959, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 818 | +{"ts": 1793147809.021465, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "82e12282b8890c1e7c672fcfd5e2302fdbf9d62e552e2f8fbfee70efe4c5e5c0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6371, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0527, \"cash\": 6.339, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.339, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5938, 4.5956, 4.6028, 4.6042, 4.6371], \"own_valuation\": 4.6519, \"target_holdings\": 4.2273}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.45908188819885254, "usage": {"prompt_tokens": 331, "completion_tokens": 56, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 819 | +{"ts": 1793147812.7071528, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7b55382f267bd35b0201804481042352d0fda20faedf254253d29f561a2613f8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6371, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0397, \"cash\": 6.4024, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4024, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5956, 4.6028, 4.6042, 4.6371, 4.6371], \"own_valuation\": 4.639, \"target_holdings\": 0.5536}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.5536,\n \"order_type\": \"limit\",\n \"limit_price\": 4.639,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.5536, "order_type": "limit", "limit_price": 4.639, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.46636223793029785, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 820 | +{"ts": 1793147813.09839, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "155bdb7d1d6dd14f813609adac8157f348b48758b9b4efd5a73fb7e19e2c6d95", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6371, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0397, \"cash\": 6.3953, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3953, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5956, 4.6028, 4.6042, 4.6371, 4.6371], \"own_valuation\": 4.639, \"target_holdings\": 0.5536}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.5536,\n \"order_type\": \"limit\",\n \"limit_price\": 4.639,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.5536, "order_type": "limit", "limit_price": 4.639, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.3908579349517822, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 821 | +{"ts": 1793147819.4392478, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9b68dc3055d16661e7baacd44768d28659adc63e9526755aaf8b09f1c1e8fd9b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6331, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.4592, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4592, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6028, 4.6042, 4.6371, 4.6371, 4.6331], \"own_valuation\": 4.6348, \"target_holdings\": 0.4826}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.4826,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6348,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.4826, "order_type": "limit", "limit_price": 4.6348, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4806487560272217, "usage": {"prompt_tokens": 334, "completion_tokens": 58, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 3}} | ||||
| 822 | +{"ts": 1793147819.852364, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a6466579d83f655fb7abea05e672b2bc145d98cb4b4bba5566c2893e790dc81c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6331, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.4664, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4664, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6028, 4.6042, 4.6371, 4.6371, 4.6331], \"own_valuation\": 4.6348, \"target_holdings\": 0.4826}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.4826,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6348,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.4826, "order_type": "limit", "limit_price": 4.6348, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4127061367034912, "usage": {"prompt_tokens": 334, "completion_tokens": 58, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 3}} | ||||
| 823 | +{"ts": 1793147825.6936471, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f5a0edc578628af55245791e2dd442c346994a2d18edea042ab3268f103b6cf1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6123, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 6.531, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.531, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6042, 4.6371, 4.6371, 4.6331, 4.6123], \"own_valuation\": 4.6389, \"target_holdings\": 7.5689}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6389,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6389, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.42421698570251465, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 3}} | ||||
| 824 | +{"ts": 1793147831.838944, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "95455167f74f96fe46c3d3f0e79876672fa8199c9a08df42834062108be48087", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6123, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 6.5238, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5238, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6042, 4.6371, 4.6371, 4.6331, 4.6123], \"own_valuation\": 4.6389, \"target_holdings\": 7.5689}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6389,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6389, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4594690799713135, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 3}} | ||||
| 825 | +{"ts": 1793147834.3253398, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e3b655ee192794417f73847c53599ee7f99ad446bf203cde7a6b664112378ea8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.593, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 6.5963, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5964, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6371, 4.6371, 4.6331, 4.6123, 4.593], \"own_valuation\": 4.6454, \"target_holdings\": 14.9464}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sufficient cash\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.8671691417694092, "usage": {"prompt_tokens": 415, "completion_tokens": 53, "total_tokens": 468, "prompt_tokens_details": {"cached_tokens": 371}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 2, "run": 3}} | ||||
| 826 | +{"ts": 1793147840.225166, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d02028556520048a972abd0e9d68bd9e3a350dae2dfa0cf1377c7c588b189589", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.593, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 6.589, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.589, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6371, 4.6371, 4.6331, 4.6123, 4.593], \"own_valuation\": 4.6454, \"target_holdings\": 14.9464}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, no need to take on debt\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.8244521617889404, "usage": {"prompt_tokens": 417, "completion_tokens": 57, "total_tokens": 474, "prompt_tokens_details": {"cached_tokens": 369}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 15, "agent": 5, "run": 3}} | ||||
| 827 | +{"ts": 1793147847.195164, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c22b662501aa663968526773ad78eee8deace75c7db1621f8233eb6417491fbc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6534, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0547, \"cash\": 6.6549, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6549, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6371, 4.6331, 4.6123, 4.593, 4.6534], \"own_valuation\": 4.6539, \"target_holdings\": 0.1672}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.1672,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6539,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.1672, "order_type": "limit", "limit_price": 4.6539, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43689680099487305, "usage": {"prompt_tokens": 333, "completion_tokens": 58, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 3}} | ||||
| 828 | +{"ts": 1793147849.051643, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8d59cf7c6ecfbde6b98c80c045fdc0032a15e0388b975c8305a52078406cf1c2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6534, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0547, \"cash\": 6.6623, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6623, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6371, 4.6331, 4.6123, 4.593, 4.6534], \"own_valuation\": 4.6539, \"target_holdings\": 0.1672}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.1672,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6539,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.1672, "order_type": "limit", "limit_price": 4.6539, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4247469902038574, "usage": {"prompt_tokens": 333, "completion_tokens": 58, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 3}} | ||||
| 829 | +{"ts": 1793147856.501237, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e673f566cc24a717108df7f6d5e624767b53765efb4e24babf2d00b9b26656ed", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6477, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.7215, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7215, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6331, 4.6123, 4.593, 4.6534, 4.6477], \"own_valuation\": 4.6563, \"target_holdings\": 2.4534}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4249708652496338, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 3}} | ||||
| 830 | +{"ts": 1793147859.415862, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e5444808aedce33b7406782d84570fa13c8f03a4b34f2227af25902412d7fe9f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6477, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.7289, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7289, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6331, 4.6123, 4.593, 4.6534, 4.6477], \"own_valuation\": 4.6563, \"target_holdings\": 2.4534}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.41394805908203125, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 3}} | ||||
| 831 | +{"ts": 1793147863.5568588, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "613b8908b62cac2b8d905bd795d9b129e4a672c4084e9ea22c1612071b258c39", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6416, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.7887, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7887, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6123, 4.593, 4.6534, 4.6477, 4.6416], \"own_valuation\": 4.6477, \"target_holdings\": 1.7417}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4893827438354492, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 3}} | ||||
| 832 | +{"ts": 1793147866.9665449, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2a82f36507f86a6e8c0309b9876d918d1a46498e0ba5a77723662361c4eb4f60", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6416, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.7962, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7962, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6123, 4.593, 4.6534, 4.6477, 4.6416], \"own_valuation\": 4.6477, \"target_holdings\": 1.7417}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4462718963623047, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 3}} | ||||
| 833 | +{"ts": 1793147867.388084, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a340d71e68d740fe6976da2cd0fed285de066f5966edc4a11280a0eac46145cb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6443, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0481, \"cash\": 6.8642, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8642, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.593, 4.6534, 4.6477, 4.6416, 4.6443], \"own_valuation\": 4.6474, \"target_holdings\": 0.8641}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.8641,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6474,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.8641, "order_type": "limit", "limit_price": 4.6474, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4208199977874756, "usage": {"prompt_tokens": 333, "completion_tokens": 58, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 3}} | ||||
| 834 | +{"ts": 1793147868.5412211, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2485c0d7b9c258b51303691cabe1a8cbc2a4da6dc1de2569ed3f78c40d09350c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6443, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0481, \"cash\": 6.8566, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8566, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.593, 4.6534, 4.6477, 4.6416, 4.6443], \"own_valuation\": 4.6474, \"target_holdings\": 0.8641}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.8641,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6474,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.8641, "order_type": "limit", "limit_price": 4.6474, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4205930233001709, "usage": {"prompt_tokens": 333, "completion_tokens": 58, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 3}} | ||||
| 835 | +{"ts": 1793147881.601758, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c4dcf4d03aec658711478e2c2c11cf1209506f783444747f820f5e43ab1b58fa", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6404, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0628, \"cash\": 6.9328, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9328, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6534, 4.6477, 4.6416, 4.6443, 4.6404], \"own_valuation\": 4.6619, \"target_holdings\": 6.1267}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6619,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6619, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4766571521759033, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 3}} | ||||
| 836 | +{"ts": 1793147883.661691, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c95fd7479b85b6942fda38ac06f7ace03678ebed5b544c41cb534b7aa0b8e8e0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6404, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0628, \"cash\": 6.9251, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9251, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6534, 4.6477, 4.6416, 4.6443, 4.6404], \"own_valuation\": 4.6619, \"target_holdings\": 6.1267}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6619,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6619, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.441220760345459, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 3}} | ||||
| 837 | +{"ts": 1793147885.0071418, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d4691cae5e9a1f636788c6784a2e50f60f76fdaad7af1aefa9be9685e1b82f37", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6412, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0716, \"cash\": 7.0022, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0022, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6477, 4.6416, 4.6443, 4.6404, 4.6412], \"own_valuation\": 4.6706, \"target_holdings\": 8.3871}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6706,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6706, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.40587592124938965, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 3}} | ||||
| 838 | +{"ts": 1793147885.403498, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6783613f77b3c2f3291b4ea7a638d6ae7bf805970954d18f854e6b4ffcd678cd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6412, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0716, \"cash\": 6.9944, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9944, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6477, 4.6416, 4.6443, 4.6404, 4.6412], \"own_valuation\": 4.6706, \"target_holdings\": 8.3871}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6706,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6706, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.3956429958343506, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 3}} | ||||
| 839 | +{"ts": 1793147893.321399, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "36240f52236e3ed864f3c5533335fddaa4f689ae656b7662e97d89362ce7c623", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6412, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.052, \"cash\": 7.0722, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0722, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6416, 4.6443, 4.6404, 4.6412, 4.6412], \"own_valuation\": 4.6512, \"target_holdings\": 2.8542}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4452052116394043, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 3}} | ||||
| 840 | +{"ts": 1793147897.6551812, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ea8148551c4ac627046ad48a7a78f80b52b593fdbdff0fa2b6197ef82ced9119", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6412, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.052, \"cash\": 7.0643, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0643, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6416, 4.6443, 4.6404, 4.6412, 4.6412], \"own_valuation\": 4.6512, \"target_holdings\": 2.8542}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6512,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6512, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.45624208450317383, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 3}} | ||||
| 841 | +{"ts": 1793147906.302575, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cfa00a8a5365beacae9129059823a09558674b8fd197fe8d0947d354ec2c6a40", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6525, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 7.135, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.135, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6443, 4.6404, 4.6412, 4.6412, 4.6525], \"own_valuation\": 4.6492, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5007259845733643, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 3}} | ||||
| 842 | +{"ts": 1793147909.105709, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1b1df46d496e2aee76983472b53aeebabd0da62ee951e29e45e3f929c52d9322", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6525, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 7.1429, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1429, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6443, 4.6404, 4.6412, 4.6412, 4.6525], \"own_valuation\": 4.6492, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4690389633178711, "usage": {"prompt_tokens": 333, "completion_tokens": 67, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 3}} | ||||
| 843 | +{"ts": 1793147910.805978, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3c88c9e999e2884909ace3b59b250d19f65467f819bb0f4be2e674d3ab7ac5c1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6525, \"target_holdings\": 1.9154}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4383389949798584, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 1}} | ||||
| 844 | +{"ts": 1793147913.202084, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3c88c9e999e2884909ace3b59b250d19f65467f819bb0f4be2e674d3ab7ac5c1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0532, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6525, \"target_holdings\": 1.9154}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3987100124359131, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 1}} | ||||
| 845 | +{"ts": 1793147918.356006, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2b705ee85507eedbbf744c2f899f00ebab7a1ca41943d0c6765362e63e5afbe0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6543, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7895, \"margin\": 0.5, \"loan_capacity\": 2.3272, \"history\": [4.6458, 4.6543], \"own_valuation\": 4.6589, \"target_holdings\": 1.2882}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.422497034072876, "usage": {"prompt_tokens": 317, "completion_tokens": 55, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 1}} | ||||
| 846 | +{"ts": 1793147920.810656, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2b705ee85507eedbbf744c2f899f00ebab7a1ca41943d0c6765362e63e5afbe0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6543, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7895, \"margin\": 0.5, \"loan_capacity\": 2.3272, \"history\": [4.6458, 4.6543], \"own_valuation\": 4.6589, \"target_holdings\": 1.2882}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.36458802223205566, "usage": {"prompt_tokens": 317, "completion_tokens": 55, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 316}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 847 | +{"ts": 1793147923.064487, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dab27b6f04605e11e6250665b5409a253e546c398f4356ac9cd08c5f2319c77d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6739, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8793, \"margin\": 0.5, \"loan_capacity\": 2.337, \"history\": [4.6458, 4.6543, 4.6739], \"own_valuation\": 4.6385, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4585578441619873, "usage": {"prompt_tokens": 321, "completion_tokens": 55, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 848 | +{"ts": 1793147924.205976, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dab27b6f04605e11e6250665b5409a253e546c398f4356ac9cd08c5f2319c77d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6739, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0391, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8793, \"margin\": 0.5, \"loan_capacity\": 2.337, \"history\": [4.6458, 4.6543, 4.6739], \"own_valuation\": 4.6385, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3269648551940918, "usage": {"prompt_tokens": 321, "completion_tokens": 55, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 320}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 849 | +{"ts": 1793147932.51183, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a27202971c627271b15ed1c4034113fb3e7612c50f790a8ecc1dd304c67b393b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6435, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0498, \"cash\": 5.8865, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8865, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6543, 4.6739, 4.6435], \"own_valuation\": 4.6491, \"target_holdings\": 1.6026}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4670238494873047, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 850 | +{"ts": 1793147932.905588, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2defd47358dce78ad581d5d6afc61318ff3f6b50ea13988617160c0969d4c06d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6435, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0498, \"cash\": 5.8807, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8807, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6543, 4.6739, 4.6435], \"own_valuation\": 4.6491, \"target_holdings\": 1.6026}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.39339375495910645, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 851 | +{"ts": 1793147939.094334, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dd10c24376c6ef4116c9d5f2eb4a4cad018e063eb05b48d301ae303b3366bc8a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6393, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 5.9395, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9395, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6543, 4.6739, 4.6435, 4.6393], \"own_valuation\": 4.6565, \"target_holdings\": 4.9022}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.43105411529541016, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 852 | +{"ts": 1793147945.609858, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fd764de3524c0cf7792da5182df361bc12f791acf30fcd3f0077a97b9f29168b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6393, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 5.9453, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9453, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6543, 4.6739, 4.6435, 4.6393], \"own_valuation\": 4.6565, \"target_holdings\": 4.9022}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4998509883880615, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 853 | +{"ts": 1793147950.366337, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c9a07fc01a21ea0ada17f5c4cb5a8e1b5341ffe3114f609d30c849cd1eb36e2e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6391, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 6.0048, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0048, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6543, 4.6739, 4.6435, 4.6393, 4.6391], \"own_valuation\": 4.65, \"target_holdings\": 3.08}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4550631046295166, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 854 | +{"ts": 1793147955.478046, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e161142296b8f1b173d618996d184918750fe6321fc1b24175a89ac1082de811", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6391, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 5.9989, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9989, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6543, 4.6739, 4.6435, 4.6393, 4.6391], \"own_valuation\": 4.65, \"target_holdings\": 3.08}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.5185840129852295, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 855 | +{"ts": 1793147956.9329112, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "863410a9a50f7f378488baafde39eef4a714e2cce9899f0752ce7079decca3f6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.638, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 6.0649, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0649, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6739, 4.6435, 4.6393, 4.6391, 4.638], \"own_valuation\": 4.6513, \"target_holdings\": 3.796}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.41921091079711914, "usage": {"prompt_tokens": 330, "completion_tokens": 52, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 856 | +{"ts": 1793147957.3129091, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e477a10bed51c4b0a3540f80704a2183428e5eb1009eacbe4b2327e5df2ba428", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.638, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0521, \"cash\": 6.0588, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0588, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6739, 4.6435, 4.6393, 4.6391, 4.638], \"own_valuation\": 4.6513, \"target_holdings\": 3.796}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.37955403327941895, "usage": {"prompt_tokens": 330, "completion_tokens": 52, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 857 | +{"ts": 1793147962.9093661, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "31d7c2d6330f431861cb87b3ed7d06fa51fd45fdc9ae88af7fd189ce31e45073", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6431, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0472, \"cash\": 6.1255, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1255, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6435, 4.6393, 4.6391, 4.638, 4.6431], \"own_valuation\": 4.6465, \"target_holdings\": 0.9843}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.9843,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6465,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.9843, "order_type": "limit", "limit_price": 4.6465, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5189621448516846, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 858 | +{"ts": 1793147968.156362, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "611d40d10901d7d2f9e0971fe559fcc84a8c4f502bf68d26ab594a7a6d3e6eb0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6431, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0472, \"cash\": 6.1194, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1194, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6435, 4.6393, 4.6391, 4.638, 4.6431], \"own_valuation\": 4.6465, \"target_holdings\": 0.9843}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.9843,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6465,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.9843, "order_type": "limit", "limit_price": 4.6465, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45413708686828613, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 859 | +{"ts": 1793147970.867692, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "aff4a0a59d88b37fefaa1a03fc7cb6aeffbaea07e3f38c545f54743b72234ee8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6342, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.1806, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1806, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6393, 4.6391, 4.638, 4.6431, 4.6342], \"own_valuation\": 4.6563, \"target_holdings\": 6.2785}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.4659860134124756, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 860 | +{"ts": 1793147976.021, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bf47dc9be4665f877c5ba40fd2a2accd4baa4a7ecdbf009cb973bd38ea28a688", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6342, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.1868, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1868, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6393, 4.6391, 4.638, 4.6431, 4.6342], \"own_valuation\": 4.6563, \"target_holdings\": 6.2785}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.4198930263519287, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 861 | +{"ts": 1793147977.39812, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "414e00a284b1e5a60cc175a327745cc2dc99765990aec9ba1e33acbb1139e5a5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6394, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.2486, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2486, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6391, 4.638, 4.6431, 4.6342, 4.6394], \"own_valuation\": 4.6535, \"target_holdings\": 4.0192}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.44101715087890625, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 862 | +{"ts": 1793147983.27002, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3d44fdb724bb9fe50eca8fb39a1e35122af0e8649ea2139e43ae5a9a06e4bc3e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6394, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0543, \"cash\": 6.2424, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2424, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6391, 4.638, 4.6431, 4.6342, 4.6394], \"own_valuation\": 4.6535, \"target_holdings\": 4.0192}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.5078239440917969, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 863 | +{"ts": 1793147985.454904, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8e99c55f6ed1018de91c1a0487ceaea4966e5ae54d3ff07a9544e587b829756e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6499, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0504, \"cash\": 6.3111, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3111, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.638, 4.6431, 4.6342, 4.6394, 4.6499], \"own_valuation\": 4.6496, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6496,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6496, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.5024609565734863, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 864 | +{"ts": 1793147989.820116, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8bbda4a81af483c783b966e6c9e09acb8cb3454ba8e5df84584b6e3e63ec9046", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6499, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0504, \"cash\": 6.3049, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3049, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.638, 4.6431, 4.6342, 4.6394, 4.6499], \"own_valuation\": 4.6496, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6496,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6496, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.42401123046875, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 865 | +{"ts": 1793147993.0600069, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a5613e1eac5b00f18cd8b0b5a19a07e848d005562750e17246b4659dab9b723d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6366, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 6.3679, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3679, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6431, 4.6342, 4.6394, 4.6499, 4.6366], \"own_valuation\": 4.65, \"target_holdings\": 3.832}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.46631622314453125, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 866 | +{"ts": 1793147995.856242, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "33de215b9d39c48fd3ec5c307b8edd6ffbc1eae65c182dd0e8d532e4aef81e2a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6366, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0507, \"cash\": 6.3742, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3742, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6431, 4.6342, 4.6394, 4.6499, 4.6366], \"own_valuation\": 4.65, \"target_holdings\": 3.832}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5163540840148926, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 867 | +{"ts": 1793148000.90809, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3b0a8afc125e0efbd9f9a790a2047cbd354b0f1ca5c84ca1484a5b0148a8d9af", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6288, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.044, \"cash\": 6.4316, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4316, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6342, 4.6394, 4.6499, 4.6366, 4.6288], \"own_valuation\": 4.6433, \"target_holdings\": 4.1481}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.46221017837524414, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 868 | +{"ts": 1793148003.0304608, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2c0457a221bcc42bf8337ac9f20d62f2f56557033646fcdd4910132875fdd227", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6288, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.044, \"cash\": 6.438, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.438, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6342, 4.6394, 4.6499, 4.6366, 4.6288], \"own_valuation\": 4.6433, \"target_holdings\": 4.1481}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4354860782623291, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 869 | +{"ts": 1793148007.400624, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cc3800ee1aeceb4cb55fa44bab6f4a84f5892804019ef4980d84b211697fc054", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6285, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.5023, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5023, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6394, 4.6499, 4.6366, 4.6288, 4.6285], \"own_valuation\": 4.6392, \"target_holdings\": 3.0483}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.44614410400390625, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 870 | +{"ts": 1793148009.867401, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "783d736bd8ca2141ba52dd1296954c4f2560a39e987fe564f7eeff86b0ff725e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6285, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.4959, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4959, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6394, 4.6499, 4.6366, 4.6288, 4.6285], \"own_valuation\": 4.6392, \"target_holdings\": 3.0483}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.43722081184387207, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 871 | +{"ts": 1793148012.199698, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4bad162c6ee84f65dbe6a38c385d267e477cd4240746c1f62dddbe30684f5aa0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.636, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 6.5674, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5674, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6499, 4.6366, 4.6288, 4.6285, 4.636], \"own_valuation\": 4.6511, \"target_holdings\": 4.3065}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4107239246368408, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 872 | +{"ts": 1793148017.5165749, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4f608a7e37efcbcb472ad51cb2539e5172581aa1479e19488fbf6391bba151cd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.636, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0519, \"cash\": 6.5609, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5609, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6499, 4.6366, 4.6288, 4.6285, 4.636], \"own_valuation\": 4.6511, \"target_holdings\": 4.3065}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.3065,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.3065, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43445396423339844, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 873 | +{"ts": 1793148019.534252, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bb8bb05d2ebce36dd607e231c71201a29d4f0aee2d7c4a4d8aa76c9fb4082394", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6551, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 6.6265, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6265, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6366, 4.6288, 4.6285, 4.636, 4.6551], \"own_valuation\": 4.6502, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4737389087677002, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 874 | +{"ts": 1793148021.5398169, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0be0be51833c17131548e24d1fa5618d5854a1257abacb1f5cd9cc8e490c66c7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6551, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.051, \"cash\": 6.633, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.633, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6366, 4.6288, 4.6285, 4.636, 4.6551], \"own_valuation\": 4.6502, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4311230182647705, "usage": {"prompt_tokens": 329, "completion_tokens": 55, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 875 | +{"ts": 1793148028.9727318, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "21d4d57365e9d2708c3db0230b69f1e13fbc3949d62c10fa244e363877cbc489", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6533, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.6927, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6927, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6288, 4.6285, 4.636, 4.6551, 4.6533], \"own_valuation\": 4.6486, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.4678988456726074, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 876 | +{"ts": 1793148030.144077, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3ef1f5ec97225df03e5a485c8aaefd90dfbd0fe153c24c9eafd9d21e012922df", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6533, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0493, \"cash\": 6.6994, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6994, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6288, 4.6285, 4.636, 4.6551, 4.6533], \"own_valuation\": 4.6486, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.38890600204467773, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 877 | +{"ts": 1793148036.42259, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d1e478e2e58fdc2f174332c4ca373fe47892776864debf2a29cfc2a6e888ffe7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6396, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.7664, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7664, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6285, 4.636, 4.6551, 4.6533, 4.6396], \"own_valuation\": 4.6357, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6357,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6357, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.46036601066589355, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 878 | +{"ts": 1793148040.230299, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "967626c1cad8c3d8f81b528de9ae254ce869ef6bc3cfa6ce928ec54eba7f2a72", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6396, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0363, \"cash\": 6.7597, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7597, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6285, 4.636, 4.6551, 4.6533, 4.6396], \"own_valuation\": 4.6357, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6357,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6357, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4590139389038086, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 879 | +{"ts": 1793148044.3686872, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "84ae59be7fcffced90f0a09eae2682905443d5f11e7cf80311b63cd2caf189cc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6258, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 6.834, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.834, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.636, 4.6551, 4.6533, 4.6396, 4.6258], \"own_valuation\": 4.65, \"target_holdings\": 6.9149}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.45806312561035156, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 880 | +{"ts": 1793148047.056086, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2a7df4674655d0f70d744f1311e2873618ca25aa50951be12c8f1e4b4ff266d2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6258, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 6.8273, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8273, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.636, 4.6551, 4.6533, 4.6396, 4.6258], \"own_valuation\": 4.65, \"target_holdings\": 6.9149}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.41336512565612793, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 881 | +{"ts": 1793148051.798613, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "00f2647ec42799917206bc8cb9ebbbec063eb83c7b44be2f34179845d3ff4d1a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6212, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.9024, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9024, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6551, 4.6533, 4.6396, 4.6258, 4.6212], \"own_valuation\": 4.6435, \"target_holdings\": 6.3544}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4642062187194824, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 882 | +{"ts": 1793148053.70657, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d7407bd5d4403f8748ba548acd4b0cdae2b50dbd9955b1f0d6a1e51a49afa2bd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6212, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0442, \"cash\": 6.8955, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8955, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6551, 4.6533, 4.6396, 4.6258, 4.6212], \"own_valuation\": 4.6435, \"target_holdings\": 6.3544}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3940317630767822, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 883 | +{"ts": 1793148054.8445911, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bb97405b6963869d998abe22677ce7713cbda43b584fdaa29dc274045789cb06", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6202, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.9714, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9714, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6533, 4.6396, 4.6258, 4.6212, 4.6202], \"own_valuation\": 4.6393, \"target_holdings\": 5.4346}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3895900249481201, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 884 | +{"ts": 1793148056.7642722, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "727833974d0705768ce9d4aa583ec12ae08468560d49b2800433458319516a20", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6202, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.9645, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9645, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6533, 4.6396, 4.6258, 4.6212, 4.6202], \"own_valuation\": 4.6393, \"target_holdings\": 5.4346}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4106462001800537, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 885 | +{"ts": 1793148061.478752, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "df431899d8371472f44d0236fced6b55e07a2445e33452ef3074824eea4b05a0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6362, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0606, \"cash\": 7.0411, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0411, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6396, 4.6258, 4.6212, 4.6202, 4.6362], \"own_valuation\": 4.6597, \"target_holdings\": 6.71}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6597,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6597, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.45243096351623535, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 886 | +{"ts": 1793148061.8963041, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d8720bf77c790499660dd4b36577f2b6c66e30394b3a563bae1c43af27a495e1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6362, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0606, \"cash\": 7.0341, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0341, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6396, 4.6258, 4.6212, 4.6202, 4.6362], \"own_valuation\": 4.6597, \"target_holdings\": 6.71}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6597,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6597, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4168210029602051, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 887 | +{"ts": 1793148069.0268412, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3c32a9899cd29dda3534991159bc752edc6ccbb0e92862d8ac1bb8dd83ef2d33", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6514, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.062, \"cash\": 7.1045, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1045, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6258, 4.6212, 4.6202, 4.6362, 4.6514], \"own_valuation\": 4.6611, \"target_holdings\": 2.7749}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43324923515319824, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 888 | +{"ts": 1793148069.413733, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "262254e3bd3c7ee5165107fe18b220f7776d48b2009d8cc8970d82b6d35af629", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6514, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.062, \"cash\": 7.1115, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1115, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6258, 4.6212, 4.6202, 4.6362, 4.6514], \"own_valuation\": 4.6611, \"target_holdings\": 2.7749}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3862478733062744, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 889 | +{"ts": 1793148082.018805, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8cef8a442f49e3d9c629fa6d89c489dafd48e0fc2628bb77c233991f51975a3c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6754, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0373, \"cash\": 7.1755, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1755, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6212, 4.6202, 4.6362, 4.6514, 4.6754], \"own_valuation\": 4.6367, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.4625670909881592, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 890 | +{"ts": 1793148082.449763, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "882f4930b14ee9e550c256a4a374ead2db00c979245f35a90524b424c75a1c97", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6754, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0373, \"cash\": 7.1826, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1826, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6212, 4.6202, 4.6362, 4.6514, 4.6754], \"own_valuation\": 4.6367, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.4304800033569336, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 891 | +{"ts": 1793148084.7536519, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "99365630a93c89ef9b9a3def33603dfbde8866b274fd8afe51277dd6fa205265", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6437, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4496588706970215, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 892 | +{"ts": 1793148085.989772, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "99365630a93c89ef9b9a3def33603dfbde8866b274fd8afe51277dd6fa205265", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0444, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6437, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3654341697692871, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 893 | +{"ts": 1793148086.389397, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0638a64158b8d4c5a22fe0bfb381f39c788fbb858559b435367a29e5e4cc62b3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6394, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0374, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7586, \"margin\": 0.5, \"loan_capacity\": 2.3197, \"history\": [4.6458, 4.6394], \"own_valuation\": 4.6368, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6368,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6368, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.39845800399780273, "usage": {"prompt_tokens": 316, "completion_tokens": 56, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 894 | +{"ts": 1793148086.724579, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0638a64158b8d4c5a22fe0bfb381f39c788fbb858559b435367a29e5e4cc62b3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6394, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0374, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7586, \"margin\": 0.5, \"loan_capacity\": 2.3197, \"history\": [4.6458, 4.6394], \"own_valuation\": 4.6368, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6368,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6368, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3345770835876465, "usage": {"prompt_tokens": 316, "completion_tokens": 56, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 315}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 895 | +{"ts": 1793148096.411639, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a70cd7d4fb6c6c258df38fc272dad033fc88d8f4905a83fb5f3d66437f673fb2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6254, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0318, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7999, \"margin\": 0.5, \"loan_capacity\": 2.3127, \"history\": [4.6458, 4.6394, 4.6254], \"own_valuation\": 4.6313, \"target_holdings\": 1.6862}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4353041648864746, "usage": {"prompt_tokens": 323, "completion_tokens": 55, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 896 | +{"ts": 1793148098.222868, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a70cd7d4fb6c6c258df38fc272dad033fc88d8f4905a83fb5f3d66437f673fb2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6254, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0318, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7999, \"margin\": 0.5, \"loan_capacity\": 2.3127, \"history\": [4.6458, 4.6394, 4.6254], \"own_valuation\": 4.6313, \"target_holdings\": 1.6862}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3733980655670166, "usage": {"prompt_tokens": 323, "completion_tokens": 55, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 322}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 897 | +{"ts": 1793148104.718647, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c4f4d2db4d7aef59e5722cc498e4c5f092909e8ae2539572c3ca9e9aa3bd01f2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6212, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.8581, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8581, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6394, 4.6254, 4.6212], \"own_valuation\": 4.6475, \"target_holdings\": 7.5204}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.42376136779785156, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 898 | +{"ts": 1793148108.1403468, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fa4b8ef9c9a7eeb5cd519039f877e846328901082fe10344057b1ea0b4b81c05", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6212, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.8481, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8481, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6394, 4.6254, 4.6212], \"own_valuation\": 4.6475, \"target_holdings\": 7.5204}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4730687141418457, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 899 | +{"ts": 1793148112.250484, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8a2aa641596488c40dc88535104c549a5af9375d08ab0f216246194947373e79", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6088, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0594, \"cash\": 5.9066, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9066, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6394, 4.6254, 4.6212, 4.6088], \"own_valuation\": 4.6585, \"target_holdings\": 14.1911}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43967700004577637, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 900 | +{"ts": 1793148113.935047, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6f47e6f1c861df39eac165202504bf6474976043493bdc7bc26aba9ee90d80bd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6088, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0594, \"cash\": 5.9166, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9166, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6394, 4.6254, 4.6212, 4.6088], \"own_valuation\": 4.6585, \"target_holdings\": 14.1911}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4304358959197998, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 901 | +{"ts": 1793148120.7260318, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d39127a42f9b2f0d67fd27a35d12a3728db2d7f63c3951ea0f6c472c57f930cf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.602, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0656, \"cash\": 5.9758, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9758, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6394, 4.6254, 4.6212, 4.6088, 4.602], \"own_valuation\": 4.6647, \"target_holdings\": 17.8593}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4337191581726074, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 902 | +{"ts": 1793148123.8695402, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "83bf6ea511bb9bf5991dc2f576e073686963344c568811cde6d2965756b6a1b2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.602, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0656, \"cash\": 5.9656, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9656, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6394, 4.6254, 4.6212, 4.6088, 4.602], \"own_valuation\": 4.6647, \"target_holdings\": 17.8593}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4822261333465576, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 903 | +{"ts": 1793148126.494317, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c1b4eb959b6da7b1f5a349a78d022cf6af6fda562aa36ecc147ceb3225f2526e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6089, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0665, \"cash\": 6.0356, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0356, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6254, 4.6212, 4.6088, 4.602, 4.6089], \"own_valuation\": 4.6656, \"target_holdings\": 16.1587}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.46578526496887207, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 904 | +{"ts": 1793148126.881202, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "42509fcdd24f01e483573362c0da62190e524b1b01be6087d31f7dd43249f206", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6089, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0665, \"cash\": 6.0253, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0253, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6254, 4.6212, 4.6088, 4.602, 4.6089], \"own_valuation\": 4.6656, \"target_holdings\": 16.1587}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.38637781143188477, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 905 | +{"ts": 1793148136.976415, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cbcba466ad56c1a10c0dd5fb5dcba1bb001fc74654ac73a97e8dc866b3dc8d56", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6228, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0608, \"cash\": 6.0855, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0855, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6212, 4.6088, 4.602, 4.6089, 4.6228], \"own_valuation\": 4.66, \"target_holdings\": 10.5998}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.5212569236755371, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 906 | +{"ts": 1793148139.6989172, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0def60f8fd66bfc1ee9e43f6bd24bd81db58707c020ca99c5ab2d22135a1fdf0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6228, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0608, \"cash\": 6.0959, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0959, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6212, 4.6088, 4.602, 4.6089, 4.6228], \"own_valuation\": 4.66, \"target_holdings\": 10.5998}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.44912290573120117, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 907 | +{"ts": 1793148140.122967, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "121ea68eb12e0c59e0c0ad2a23c47602fed011dd10fc7e9f30d87de28251ac39", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6457, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0475, \"cash\": 6.1464, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1464, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6088, 4.602, 4.6089, 4.6228, 4.6457], \"own_valuation\": 4.6468, \"target_holdings\": 0.3262}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4230682849884033, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 908 | +{"ts": 1793148142.742899, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fb1799bb842f5d6a2efd958ddef8b428b0fb9b6acc42d77418716b09019d742a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6457, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0475, \"cash\": 6.1569, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1569, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6088, 4.602, 4.6089, 4.6228, 4.6457], \"own_valuation\": 4.6468, \"target_holdings\": 0.3262}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5222258567810059, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 909 | +{"ts": 1793148147.0344498, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c3ad911556e4d3b060190594d4dfebbc4b15326e0b238b32c6ff1d2031f0d450", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6159, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0595, \"cash\": 6.141, \"holdings\": 0.0168, \"loan\": 0.0, \"equity\": 6.2185, \"margin\": 0.5, \"loan_capacity\": 0.0387, \"history\": [4.602, 4.6089, 4.6228, 4.6457, 4.6544], \"own_valuation\": 4.6587, \"target_holdings\": 12.2113}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4104490280151367, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 910 | +{"ts": 1793148147.461566, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bb510ae0076e41cb4d0f19725a5c61d86f13770594438356ca114151225438c1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6159, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0595, \"cash\": 6.1305, \"holdings\": 0.0168, \"loan\": 0.0, \"equity\": 6.2079, \"margin\": 0.5, \"loan_capacity\": 0.0387, \"history\": [4.602, 4.6089, 4.6228, 4.6457, 4.6544], \"own_valuation\": 4.6587, \"target_holdings\": 12.2113}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.426177978515625, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 911 | +{"ts": 1793148155.853811, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4623ce1d6e3503cf1728ee72f64293896dd682792742ddd010958a3e212a9d32", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6316, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.2701, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2701, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6089, 4.6228, 4.6457, 4.6544, 4.6316], \"own_valuation\": 4.6422, \"target_holdings\": 3.001}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.5132958889007568, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 912 | +{"ts": 1793148156.297191, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0a93a960a9e47353801905e6c98fda3853613dd965a608211235921368508d82", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6316, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.2808, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2808, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6089, 4.6228, 4.6457, 4.6544, 4.6316], \"own_valuation\": 4.6422, \"target_holdings\": 3.001}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44281983375549316, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 913 | +{"ts": 1793148159.000001, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "428147867602360911040f17a87275fe59424eaad40d74c149a843e595214a11", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6519, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.3436, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3436, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6228, 4.6457, 4.6544, 4.6316, 4.6519], \"own_valuation\": 4.6477, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.5254449844360352, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 914 | +{"ts": 1793148161.095149, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6fdf690f386e994182d00b2564c1852415b85773ec02855d2539df2e9fb65077", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6519, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.3328, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3328, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6228, 4.6457, 4.6544, 4.6316, 4.6519], \"own_valuation\": 4.6477, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.5245170593261719, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 915 | +{"ts": 1793148169.814713, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "53ed6f9a009a68d907477f565cde2e8999a35f6dc47119a5269b6d988f048387", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6586, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0393, \"cash\": 6.3961, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3961, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6457, 4.6544, 4.6316, 4.6519, 4.6586], \"own_valuation\": 4.6387, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.4612410068511963, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 916 | +{"ts": 1793148170.20845, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "755bf0e0b0ba6e07b275955ff1ad1778942859978637d5c75a268c6674f07c32", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6586, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0393, \"cash\": 6.407, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.407, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6457, 4.6544, 4.6316, 4.6519, 4.6586], \"own_valuation\": 4.6387, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.3931450843811035, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 917 | +{"ts": 1793148173.830736, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0724d1cc53d7bdbba790d0b44b87639e2911b10b6537023aea1f1c68e90717b8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6477, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.4601, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4601, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6544, 4.6316, 4.6519, 4.6586, 4.6477], \"own_valuation\": 4.6432, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.47336721420288086, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 918 | +{"ts": 1793148176.5550919, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a886e7ed8a2b7e644e57763552de8b8e477e9558e265460acee9fc7218a83ad9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6477, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.4711, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4711, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6544, 4.6316, 4.6519, 4.6586, 4.6477], \"own_valuation\": 4.6432, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.41389989852905273, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 919 | +{"ts": 1793148186.6051788, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a6b75844ed422a58feb05895707e792593c6a7249e71079c48f7423d542a404b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6379, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.5358, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5358, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6316, 4.6519, 4.6586, 4.6477, 4.6379], \"own_valuation\": 4.6422, \"target_holdings\": 1.2059}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.2059,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6422,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.2059, "order_type": "limit", "limit_price": 4.6422, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5302839279174805, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 920 | +{"ts": 1793148189.401386, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "90d093e598d21896a67515cc635ee227e6c58f1a9caf3305d57ed004064e04b8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6379, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0428, \"cash\": 6.5247, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5247, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6316, 4.6519, 4.6586, 4.6477, 4.6379], \"own_valuation\": 4.6422, \"target_holdings\": 1.2059}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.2059,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6422,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.2059, "order_type": "limit", "limit_price": 4.6422, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5172898769378662, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 921 | +{"ts": 1793148189.8200262, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5133ac2b12f52d954d8947d7a0f4e73f15e7f19570455aa728e493a4b5514f28", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6336, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 6.5899, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5899, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6519, 4.6586, 4.6477, 4.6379, 4.6336], \"own_valuation\": 4.6552, \"target_holdings\": 6.1521}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4182713031768799, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 922 | +{"ts": 1793148194.3504782, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c009b0ae331bfa1e42c2b33bd562baef99a9a76cd4b648a3f6ff2174cfed8d9f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6336, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.056, \"cash\": 6.6011, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6012, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6519, 4.6586, 4.6477, 4.6379, 4.6336], \"own_valuation\": 4.6552, \"target_holdings\": 6.1521}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.42757511138916016, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 923 | +{"ts": 1793148198.403092, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "564a43bec01405ab755cda552231d88e1bf0a4c2c2a2a55d36fcd3b30432914f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.643, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.048, \"cash\": 6.6672, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6672, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6586, 4.6477, 4.6379, 4.6336, 4.643], \"own_valuation\": 4.6472, \"target_holdings\": 1.212}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.212,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6472,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.212, "order_type": "limit", "limit_price": 4.6472, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4687306880950928, "usage": {"prompt_tokens": 330, "completion_tokens": 56, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 924 | +{"ts": 1793148198.857774, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "18352a4f206bbe940dc283eefe9035ee7968438e6837dfb1095806a4d108258b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.643, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.048, \"cash\": 6.6558, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6558, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6586, 4.6477, 4.6379, 4.6336, 4.643], \"own_valuation\": 4.6472, \"target_holdings\": 1.212}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.212,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.212, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4540872573852539, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 925 | +{"ts": 1793148204.085836, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ea781a9b7e901b9a84b9a173a7605397c5ede9c7be1cfb8deaff2212beaf9e5c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6497, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.7338, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7338, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6477, 4.6379, 4.6336, 4.643, 4.6497], \"own_valuation\": 4.6491, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6491,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6491, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.5235629081726074, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 926 | +{"ts": 1793148204.5008378, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a003da6d15f7a1f5abfefc459769e2bd18e0aa13a71c2be8e74e2961c76393fb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6497, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 6.7224, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7224, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6477, 4.6379, 4.6336, 4.643, 4.6497], \"own_valuation\": 4.6491, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6491,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6491, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4146590232849121, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 927 | +{"ts": 1793148210.7064981, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8154e44215d174091bec89f4e1f4e014dd906b15ef18b35976253b9cff26f9f4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6464, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.7896, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7896, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6379, 4.6336, 4.643, 4.6497, 4.6464], \"own_valuation\": 4.6453, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.46645116806030273, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 928 | +{"ts": 1793148214.308094, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2fd34b2bc9eb6fa1f16e0c13d9e757603b9a624331881008331e0908c622927a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6464, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.046, \"cash\": 6.8012, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8012, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6379, 4.6336, 4.643, 4.6497, 4.6464], \"own_valuation\": 4.6453, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4546549320220947, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 929 | +{"ts": 1793148219.3083038, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1eba65d999fdc3b14e057a4c79d8d8ba24964b93f49964091ddd08b0247af9a2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6472, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 6.8692, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8692, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6336, 4.643, 4.6497, 4.6464, 4.6472], \"own_valuation\": 4.648, \"target_holdings\": 0.2259}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.2259,\n \"order_type\": \"limit\",\n \"limit_price\": 4.648,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.2259, "order_type": "limit", "limit_price": 4.648, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43253421783447266, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 930 | +{"ts": 1793148220.34913, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "253c50d5b658d9b7877c4149590cc0cc5993e3b4766d66a4ebc04412bab8e9e9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6472, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0488, \"cash\": 6.8575, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8575, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6336, 4.643, 4.6497, 4.6464, 4.6472], \"own_valuation\": 4.648, \"target_holdings\": 0.2259}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.2259,\n \"order_type\": \"limit\",\n \"limit_price\": 4.648,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.2259, "order_type": "limit", "limit_price": 4.648, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.39617013931274414, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 931 | +{"ts": 1793148225.0566132, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a4b161def20ae32c3489af8d8279fba69d6ad50bdb45d68682b5218747e8e335", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6504, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.9379, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9379, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.643, 4.6497, 4.6464, 4.6472, 4.6504], \"own_valuation\": 4.6477, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4597959518432617, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 932 | +{"ts": 1793148225.58097, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "767db915e6cff47fe68bfc62960fa114859a7b39669f08848cb75c5f3e6d8e0c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6504, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.9261, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9261, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.643, 4.6497, 4.6464, 4.6472, 4.6504], \"own_valuation\": 4.6477, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.5235521793365479, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 933 | +{"ts": 1793148231.389844, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8bc9e0d717a05dd0f4944c2365a0e4b31b83573f81f6d51a2baa00d86aefef84", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6469, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0474, \"cash\": 7.0073, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0073, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6497, 4.6464, 4.6472, 4.6504, 4.6469], \"own_valuation\": 4.6467, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6465,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6465, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.42856383323669434, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 934 | +{"ts": 1793148236.068455, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a505ee17cec5aec930b26443fd6ce3b9a7f41367df570498eb3442e4ebc83ae0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6469, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0474, \"cash\": 6.9953, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9953, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6497, 4.6464, 4.6472, 4.6504, 4.6469], \"own_valuation\": 4.6467, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6465,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6465, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4770369529724121, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 935 | +{"ts": 1793148241.835582, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bd6888a7f218ab513b9a16fde1773aafad9c9dadb6680843e17e908b620bb908", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6448, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 7.0653, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0653, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6464, 4.6472, 4.6504, 4.6469, 4.6448], \"own_valuation\": 4.6538, \"target_holdings\": 2.5495}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6538,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6538, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.5180940628051758, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 936 | +{"ts": 1793148243.723545, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "08a47733e0be3054fb7b39973803fbac0b463367e382615d9eb3ff67730dd567", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6448, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0545, \"cash\": 7.0773, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0773, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6464, 4.6472, 4.6504, 4.6469, 4.6448], \"own_valuation\": 4.6538, \"target_holdings\": 2.5495}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.46901607513427734, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 937 | +{"ts": 1793148245.261535, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c21c97cbe0cac1d57ec94498938753e40e90c3493fa39e1ba28f87fb11467bd2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6368, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1359, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1359, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6472, 4.6504, 4.6469, 4.6448, 4.6368], \"own_valuation\": 4.6476, \"target_holdings\": 3.0617}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.43120598793029785, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 938 | +{"ts": 1793148246.423233, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "39fc0a2f7eaecfb4dd71aefccc6a17f95b092d77558a6ea3db3637ae92b6bbd4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6368, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1481, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1481, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6472, 4.6504, 4.6469, 4.6448, 4.6368], \"own_valuation\": 4.6476, \"target_holdings\": 3.0617}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3929169178009033, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 939 | +{"ts": 1793148252.144972, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "34ac27e905525d775fbd6d6776b7ddf7484536cb3fdc2412b4d2d3b9479b1618", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0403, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6397, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.47077417373657227, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 940 | +{"ts": 1793148252.4799628, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "34ac27e905525d775fbd6d6776b7ddf7484536cb3fdc2412b4d2d3b9479b1618", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0403, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6397, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.33437061309814453, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 941 | +{"ts": 1793148259.138736, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6439d92a1e88ef7d50449cbf40cd6d32320394a874ec21ee9e827717fd3b00c2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6413, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7682, \"margin\": 0.5, \"loan_capacity\": 2.3207, \"history\": [4.6458, 4.6413], \"own_valuation\": 4.6445, \"target_holdings\": 0.8961}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6445,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6445, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.47354888916015625, "usage": {"prompt_tokens": 317, "completion_tokens": 56, "total_tokens": 373, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 942 | +{"ts": 1793148261.400212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6439d92a1e88ef7d50449cbf40cd6d32320394a874ec21ee9e827717fd3b00c2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6413, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7682, \"margin\": 0.5, \"loan_capacity\": 2.3207, \"history\": [4.6458, 4.6413], \"own_valuation\": 4.6445, \"target_holdings\": 0.8961}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6445,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6445, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.39168787002563477, "usage": {"prompt_tokens": 317, "completion_tokens": 56, "total_tokens": 373, "prompt_tokens_details": {"cached_tokens": 316}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 943 | +{"ts": 1793148263.330625, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7c98f0f482148d4bda6d7c926afa9248fffecc60f591bec01eeac5e288c15d76", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6423, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8275, \"margin\": 0.5, \"loan_capacity\": 2.3212, \"history\": [4.6458, 4.6413, 4.6423], \"own_valuation\": 4.6389, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5095040798187256, "usage": {"prompt_tokens": 322, "completion_tokens": 55, "total_tokens": 377, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 944 | +{"ts": 1793148268.8362932, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7c98f0f482148d4bda6d7c926afa9248fffecc60f591bec01eeac5e288c15d76", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6423, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8275, \"margin\": 0.5, \"loan_capacity\": 2.3212, \"history\": [4.6458, 4.6413, 4.6423], \"own_valuation\": 4.6389, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.424973726272583, "usage": {"prompt_tokens": 322, "completion_tokens": 55, "total_tokens": 377, "prompt_tokens_details": {"cached_tokens": 321}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 945 | +{"ts": 1793148271.5410922, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1acd547bf9e82ce959ca51de659f5aceadbc84e3cee99c303d1a261250913852", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6221, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 5.8593, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8593, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6413, 4.6423, 4.6221], \"own_valuation\": 4.6441, \"target_holdings\": 6.2812}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4652101993560791, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 946 | +{"ts": 1793148273.4323761, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "59f6cea8991a04454c23c7900d8325ab6a8a90004a6e5f924b5acc44c3303687", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6221, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.0448, \"cash\": 5.8614, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8614, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6413, 4.6423, 4.6221], \"own_valuation\": 4.6441, \"target_holdings\": 6.2812}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.39043307304382324, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 947 | +{"ts": 1793148280.153635, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "36c763c7db04e04cc5c7a28a3808ff58a3d92df87fbe696673657c0232d2be85", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6144, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 5.92, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.92, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6413, 4.6423, 4.6221, 4.6144], \"own_valuation\": 4.6416, \"target_holdings\": 7.7767}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4723517894744873, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 948 | +{"ts": 1793148282.079669, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3095eb49817add5e9e756a5e8f20df6a71492c62efbc9009da96c57b617c0116", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6144, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0423, \"cash\": 5.9179, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9179, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6413, 4.6423, 4.6221, 4.6144], \"own_valuation\": 4.6416, \"target_holdings\": 7.7767}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.39513325691223145, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 949 | +{"ts": 1793148284.208535, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b75c4513633da1c63631ee186fdc7b10d51e0749cb774a96d8f706d6e91f5f0d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6283, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0236, \"cash\": 5.9792, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9792, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6413, 4.6423, 4.6221, 4.6144, 4.6283], \"own_valuation\": 4.6232, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.43201684951782227, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 950 | +{"ts": 1793148288.496779, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "55ed3583353464a353a8b5c8b5f1294d9713e2a2e1937d9a0cd1b25d832eb712", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6283, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0236, \"cash\": 5.9771, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9771, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6413, 4.6423, 4.6221, 4.6144, 4.6283], \"own_valuation\": 4.6232, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.5267703533172607, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 951 | +{"ts": 1793148291.642018, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "29b0fa1593d2b2a1540fe7a08cf6a6ed5f8f32701b897d49666f73751ff7741c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6114, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.039, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.039, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6423, 4.6221, 4.6144, 4.6283, 4.6115], \"own_valuation\": 4.6348, \"target_holdings\": 6.6614}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4652669429779053, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 952 | +{"ts": 1793148295.313426, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "66a5cc059e1a70d00d3377c90c514c53763a2924c07667c198939eddce67c706", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6114, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.0369, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0369, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6423, 4.6221, 4.6144, 4.6283, 4.6115], \"own_valuation\": 4.6348, \"target_holdings\": 6.6614}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.523435115814209, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 953 | +{"ts": 1793148301.6066072, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d99eefbb09f2990d2e8435cae17ed4427a66a73780e5de56f4e89ad29189246f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6022, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0355, \"cash\": 6.0994, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0994, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6221, 4.6144, 4.6283, 4.6115, 4.6022], \"own_valuation\": 4.6349, \"target_holdings\": 9.3167}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5165901184082031, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 954 | +{"ts": 1793148302.823661, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "92bb55e028415f29a8e84f828fb4f3a5ebd35b2c317d994e2a2d45d08f8e1981", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6022, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0355, \"cash\": 6.0972, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0972, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6221, 4.6144, 4.6283, 4.6115, 4.6022], \"own_valuation\": 4.6349, \"target_holdings\": 9.3167}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3948049545288086, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 955 | +{"ts": 1793148305.4038599, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1f404ee1f4e232c80db71f7f41567765914961c03eecca371deb4888b041bc1e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.605, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0692, \"cash\": 6.1604, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1604, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6144, 4.6283, 4.6115, 4.6022, 4.605], \"own_valuation\": 4.6683, \"target_holdings\": 18.046}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6683,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6683, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4697458744049072, "usage": {"prompt_tokens": 331, "completion_tokens": 56, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 956 | +{"ts": 1793148309.4855611, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "edad40048441538b4cd08071988cf845689c5eedfae0f8334c0d681cbd7b382b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.605, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0692, \"cash\": 6.1582, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1582, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6144, 4.6283, 4.6115, 4.6022, 4.605], \"own_valuation\": 4.6683, \"target_holdings\": 18.046}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45397305488586426, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 957 | +{"ts": 1793148310.611562, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "39f1cdce8ab92494e23e60a8221a7e707bfa24c6459103bb3c2031955c03ce7e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6093, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 6.2198, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2198, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6283, 4.6115, 4.6022, 4.605, 4.6093], \"own_valuation\": 4.6587, \"target_holdings\": 14.1107}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3966231346130371, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 958 | +{"ts": 1793148314.783657, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7bc15e833b81a0e95e5cdc83c553d92c2cfca757e4b08355abf6a200859d6f68", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6093, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 6.222, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.222, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6283, 4.6115, 4.6022, 4.605, 4.6093], \"own_valuation\": 4.6587, \"target_holdings\": 14.1107}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4171640872955322, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 959 | +{"ts": 1793148320.922569, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "358b44264f00b310659edaa244d84aed037bde652322816a43c31ea8bbbc470d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.616, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.282, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.282, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6115, 4.6022, 4.605, 4.6093, 4.616], \"own_valuation\": 4.6563, \"target_holdings\": 11.4871}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.5349371433258057, "usage": {"prompt_tokens": 328, "completion_tokens": 56, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 960 | +{"ts": 1793148321.4046872, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e7b127878ed6f0123f3aa06c243d2cb84b6fd3b2330b5a54e5b78ed5e2fd40eb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.616, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.2842, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2842, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6115, 4.6022, 4.605, 4.6093, 4.616], \"own_valuation\": 4.6563, \"target_holdings\": 11.4871}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.48157215118408203, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 961 | +{"ts": 1793148325.3425121, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ccb9066257cdaeb9d336b22269195e687c9361dcb12e19ca5d81a8c09a247883", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6288, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0527, \"cash\": 6.347, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.347, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6022, 4.605, 4.6093, 4.616, 4.6288], \"own_valuation\": 4.6519, \"target_holdings\": 6.6002}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.43322277069091797, "usage": {"prompt_tokens": 329, "completion_tokens": 55, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 962 | +{"ts": 1793148329.939239, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2966915b709a83b6ffb7240662ba4904499d7d68a63c7797d215dc13a2fa9416", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6288, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.0527, \"cash\": 6.3448, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3448, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6022, 4.605, 4.6093, 4.616, 4.6288], \"own_valuation\": 4.6519, \"target_holdings\": 6.6002}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.44638895988464355, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 963 | +{"ts": 1793148330.344296, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ffb067cf00775fbba048deddc67bea9c12b5a70c241d8fbef5bdd09b924876f6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6448, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0397, \"cash\": 6.4105, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4105, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.605, 4.6093, 4.616, 4.6288, 4.6448], \"own_valuation\": 4.639, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.639,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.639, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.40444111824035645, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 964 | +{"ts": 1793148333.869566, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6c89ecabdaacc1be2515a6aaa4dbd7b086094fd1e3238e81039cc9234ae4b4ab", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6448, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0397, \"cash\": 6.4083, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4083, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.605, 4.6093, 4.616, 4.6288, 4.6448], \"own_valuation\": 4.639, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.639,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.639, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.45392394065856934, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 965 | +{"ts": 1793148338.8292851, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1ae34fda00f4981ee979630e0526c986c5f99190949629a346578dcc4d2ea456", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6427, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.4746, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4746, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6093, 4.616, 4.6288, 4.6448, 4.6427], \"own_valuation\": 4.6348, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.5241899490356445, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 3}} | ||||
| 966 | +{"ts": 1793148339.23504, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "77470f3fa7ca8a215c3482f46d553ea2cf188772d9bb0d50b8eb45de5e112bcc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6427, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0354, \"cash\": 6.4723, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4724, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6093, 4.616, 4.6288, 4.6448, 4.6427], \"own_valuation\": 4.6348, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4051971435546875, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 3}} | ||||
| 967 | +{"ts": 1793148344.6996732, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e969387aea71ca7a3970ff7133111d68911a7a55d94928d5a4df93cadf36ebda", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6152, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 6.5371, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5371, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.616, 4.6288, 4.6448, 4.6427, 4.6152], \"own_valuation\": 4.6389, \"target_holdings\": 6.7378}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.41822385787963867, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 3}} | ||||
| 968 | +{"ts": 1793148349.764755, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b26d6a4a89ff496e825386eb920b726b0fc0a24beff510ad3bbcf801e230d26e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6152, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0395, \"cash\": 6.5393, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5394, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.616, 4.6288, 4.6448, 4.6427, 4.6152], \"own_valuation\": 4.6389, \"target_holdings\": 6.7378}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4458649158477783, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 3}} | ||||
| 969 | +{"ts": 1793148351.491594, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c077f4f4abfc5a33c871bb21fd2e9240c93b74b9b3fc465e74625c7de6611412", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6178, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 6.6047, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6048, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6288, 4.6448, 4.6427, 4.6152, 4.6178], \"own_valuation\": 4.6454, \"target_holdings\": 7.8754}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4926319122314453, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 3}} | ||||
| 970 | +{"ts": 1793148351.936203, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e03db0be6d478391d00c5e593764fc901310f67402cc6fb473f3e077ffa75e3e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6178, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.0461, \"cash\": 6.6024, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6024, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6288, 4.6448, 4.6427, 4.6152, 4.6178], \"own_valuation\": 4.6454, \"target_holdings\": 7.8754}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.44416189193725586, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 3}} | ||||
| 971 | +{"ts": 1793148361.024299, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ffa03485d0d5f1ce1b2a9e68a1573e66458c39f5b510749fa4ffd6c53e1feb00", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6282, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0547, \"cash\": 6.6685, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6685, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6448, 4.6427, 4.6152, 4.6178, 4.6282], \"own_valuation\": 4.6539, \"target_holdings\": 7.3283}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44527411460876465, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 3}} | ||||
| 972 | +{"ts": 1793148363.3630478, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "97580dbc43dad320f8a15ce47c5ed3ea7e4110b6f812ae78f0fe7d03a063f02a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6282, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0547, \"cash\": 6.6708, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6708, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6448, 4.6427, 4.6152, 4.6178, 4.6282], \"own_valuation\": 4.6539, \"target_holdings\": 7.3283}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4160139560699463, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 3}} | ||||
| 973 | +{"ts": 1793148364.970464, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "064c903007958efab87fffcfae173a0f556b47b661cf4a53bf564fa43385ab64", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6412, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.7352, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7352, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6427, 4.6152, 4.6178, 4.6282, 4.6412], \"own_valuation\": 4.6563, \"target_holdings\": 4.316}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.4528470039367676, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 3}} | ||||
| 974 | +{"ts": 1793148365.4461398, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "145c0e844edce6b9859d8862366377bcac3d5102cbff184ff0d94237e91be158", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6412, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0571, \"cash\": 6.7375, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7375, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6427, 4.6152, 4.6178, 4.6282, 4.6412], \"own_valuation\": 4.6563, \"target_holdings\": 4.316}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6563,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6563, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.47510623931884766, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 3}} | ||||
| 975 | +{"ts": 1793148376.7318242, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8867bcbcc114c3f8518bc554301ef4750e04ddc2688b53aa3094dc68c90daa61", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6582, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.8025, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8025, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6152, 4.6178, 4.6282, 4.6412, 4.6582], \"own_valuation\": 4.6477, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.43271493911743164, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 3}} | ||||
| 976 | +{"ts": 1793148377.120311, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f9bd01b257fdcc55231962ee87dd982682aa2c70f313d8000ad2b1c7c6acf53c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6582, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0485, \"cash\": 6.8049, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8049, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6152, 4.6178, 4.6282, 4.6412, 4.6582], \"own_valuation\": 4.6477, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.3879280090332031, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 3}} | ||||
| 977 | +{"ts": 1793148385.412041, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dbaaecae3302351f0fcf2a5d8f93204d739d5379ce9239d48ed0f66effc4be5c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.65, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0481, \"cash\": 6.8563, \"holdings\": 0.0036, \"loan\": 0.0, \"equity\": 6.8729, \"margin\": 0.5, \"loan_capacity\": 0.0083, \"history\": [4.6178, 4.6282, 4.6412, 4.6582, 4.6575], \"own_valuation\": 4.6474, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.5169517993927002, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 3}} | ||||
| 978 | +{"ts": 1793148387.5171561, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8ea7a3c6b63952ec8fb41e5035714a60629aa9a6c8b605f76ec45352c79f8c30", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.65, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0481, \"cash\": 6.8539, \"holdings\": 0.0036, \"loan\": 0.0, \"equity\": 6.8705, \"margin\": 0.5, \"loan_capacity\": 0.0083, \"history\": [4.6178, 4.6282, 4.6412, 4.6582, 4.6575], \"own_valuation\": 4.6474, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.45057201385498047, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 3}} | ||||
| 979 | +{"ts": 1793148388.794087, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "57a94dfa81f2768b874fc45235ed383b8aa90f19e5419ad902797cc8a87344ce", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6316, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0628, \"cash\": 6.9391, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9391, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6282, 4.6412, 4.6582, 4.6575, 4.6316], \"own_valuation\": 4.6619, \"target_holdings\": 8.6555}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.39931297302246094, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 3}} | ||||
| 980 | +{"ts": 1793148389.9780638, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e143c004d5a940f8059e5f36e7e5b25226339664d2da451dae78dcf217050ab9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.6316, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0628, \"cash\": 6.9415, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9415, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6282, 4.6412, 4.6582, 4.6575, 4.6316], \"own_valuation\": 4.6619, \"target_holdings\": 8.6555}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3941490650177002, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 3}} | ||||
| 981 | +{"ts": 1793148395.722999, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "45f0ff468357f326606b2d0593e054b78dd2802654dd065625acf380212e70a7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6325, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0716, \"cash\": 7.0085, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0085, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6412, 4.6582, 4.6575, 4.6316, 4.6325], \"own_valuation\": 4.6706, \"target_holdings\": 10.8878}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.463547945022583, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 3}} | ||||
| 982 | +{"ts": 1793148397.635927, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ca4329c6845f5b3503ea49cf3da5d339beea0fd308aedfcab19dac15101ee802", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6325, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0716, \"cash\": 7.011, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.011, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6412, 4.6582, 4.6575, 4.6316, 4.6325], \"own_valuation\": 4.6706, \"target_holdings\": 10.8878}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.39621615409851074, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 3}} | ||||
| 983 | +{"ts": 1793148408.489629, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "216639d239b0080c423c969b7bd5112f8fe9fda89e1d88a272d69d738ffd2d3a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6432, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.052, \"cash\": 7.0786, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0786, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6582, 4.6575, 4.6316, 4.6325, 4.6432], \"own_valuation\": 4.6512, \"target_holdings\": 2.2773}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.45441699028015137, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 3}} | ||||
| 984 | +{"ts": 1793148411.205027, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5b196ce609635ee8a1f4242262128f7fd7b7a12b9ff9a4c4f0f412e4f826572a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6432, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.052, \"cash\": 7.0811, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0811, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6582, 4.6575, 4.6316, 4.6325, 4.6432], \"own_valuation\": 4.6512, \"target_holdings\": 2.2773}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4276142120361328, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 3}} | ||||
| 985 | +{"ts": 1793148412.384041, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c785e4bbdb97676a4c7466fe070e16cb94e2c194a07d33e9b3fb1a7fa4447c52", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6613, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 7.1519, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1519, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6575, 4.6316, 4.6325, 4.6432, 4.6613], \"own_valuation\": 4.6492, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6492,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6492, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.40418505668640137, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 3}} | ||||
| 986 | +{"ts": 1793148414.222396, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9b47eb2003c40081a4b6b45a6685873576738768a063cfd8b672d88ef496bef1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6613, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0499, \"cash\": 7.1494, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1494, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6575, 4.6316, 4.6325, 4.6432, 4.6613], \"own_valuation\": 4.6492, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6492,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6492, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.3938770294189453, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 3}} | ||||
| 987 | +{"ts": 1793148420.372988, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "925fecaa9fd3f44528a75246f9729c1076907f63796011cf2673ef05fd7d04d7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6589, \"target_holdings\": 3.7489}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4962151050567627, "usage": {"prompt_tokens": 310, "completion_tokens": 61, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 1}} | ||||
| 988 | +{"ts": 1793148420.734682, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "925fecaa9fd3f44528a75246f9729c1076907f63796011cf2673ef05fd7d04d7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6589, \"target_holdings\": 3.7489}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.36115097999572754, "usage": {"prompt_tokens": 310, "completion_tokens": 61, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 1}} | ||||
| 989 | +{"ts": 1793148427.631613, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8f9962137c5d869282f68d5470007896cf067f736443a19b452911f77add4b7f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6706, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0495, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8058, \"margin\": 0.5, \"loan_capacity\": 2.3353, \"history\": [4.6458, 4.6706], \"own_valuation\": 4.6488, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.49725794792175293, "usage": {"prompt_tokens": 316, "completion_tokens": 65, "total_tokens": 381, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 990 | +{"ts": 1793148432.151278, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8f9962137c5d869282f68d5470007896cf067f736443a19b452911f77add4b7f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6706, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0495, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8058, \"margin\": 0.5, \"loan_capacity\": 2.3353, \"history\": [4.6458, 4.6706], \"own_valuation\": 4.6488, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.459122896194458, "usage": {"prompt_tokens": 316, "completion_tokens": 65, "total_tokens": 381, "prompt_tokens_details": {"cached_tokens": 315}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 1}} | ||||
| 991 | +{"ts": 1793148439.536492, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "13b18ac45dac0e97bd45f6fdd90c3693437da5c9e3e6c61d4e386ec4c462c153", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6717, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0381, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8771, \"margin\": 0.5, \"loan_capacity\": 2.3359, \"history\": [4.6458, 4.6706, 4.6717], \"own_valuation\": 4.6374, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5056090354919434, "usage": {"prompt_tokens": 322, "completion_tokens": 64, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 992 | +{"ts": 1793148439.907083, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "13b18ac45dac0e97bd45f6fdd90c3693437da5c9e3e6c61d4e386ec4c462c153", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6717, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0381, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8771, \"margin\": 0.5, \"loan_capacity\": 2.3359, \"history\": [4.6458, 4.6706, 4.6717], \"own_valuation\": 4.6374, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.37003374099731445, "usage": {"prompt_tokens": 322, "completion_tokens": 64, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 321}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 993 | +{"ts": 1793148440.342653, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9ab12362021d1a6df12ced8ceb7e2d65386315c99f098b1e546293f8efb3a93c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6409, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.9174, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9174, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6706, 4.6717, 4.6409], \"own_valuation\": 4.6476, \"target_holdings\": 1.887}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.43486595153808594, "usage": {"prompt_tokens": 327, "completion_tokens": 64, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 994 | +{"ts": 1793148442.65714, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a784f0e3d976e0cdd7c01b3312c51d6239609e99367627ce29df7313b1e3569e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6409, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.8611, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8611, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6706, 4.6717, 4.6409], \"own_valuation\": 4.6476, \"target_holdings\": 1.887}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.542090892791748, "usage": {"prompt_tokens": 327, "completion_tokens": 64, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 995 | +{"ts": 1793148448.70492, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5f80b79ffaa56ac3c28a65d4d2bce774e08ee872ce631c9a46bd7486901436d9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6231, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 5.9197, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9197, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6706, 4.6717, 4.6409, 4.6231], \"own_valuation\": 4.6559, \"target_holdings\": 9.3477}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is close to the price"}, "valid": true, "error": "", "cached": false, "latency": 0.4851958751678467, "usage": {"prompt_tokens": 334, "completion_tokens": 59, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 996 | +{"ts": 1793148456.27104, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "703321ee6d837bd2983bddca5303420f9cffb491f4e9a3cdaf7b6a218ce3797b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6231, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 5.9765, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9765, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6706, 4.6717, 4.6409, 4.6231], \"own_valuation\": 4.6559, \"target_holdings\": 9.3477}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, dividend is close to the price\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, dividend is close to the price"}, "valid": true, "error": "", "cached": false, "latency": 0.49378395080566406, "usage": {"prompt_tokens": 334, "completion_tokens": 59, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 997 | +{"ts": 1793148459.11801, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5a663c51d08c89923756285d2359555ed85024a655616f62bb53584daef6d767", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6178, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0467, \"cash\": 5.9789, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9789, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6706, 4.6717, 4.6409, 4.6231, 4.6178], \"own_valuation\": 4.646, \"target_holdings\": 8.0415}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5054061412811279, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 998 | +{"ts": 1793148462.0381892, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "361db5b61183cd81e8da21e5817673f2b575f6433eac4a6adbe1b01d7ecadb3c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6178, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0467, \"cash\": 6.0363, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0363, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6706, 4.6717, 4.6409, 4.6231, 4.6178], \"own_valuation\": 4.646, \"target_holdings\": 8.0415}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.6055009365081787, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 999 | +{"ts": 1793148469.054276, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "12241ec13939fdc199b92bb14a5539a774b7779ad7dba7f1dd442265eaf18313", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6216, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0522, \"cash\": 6.0967, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0967, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6717, 4.6409, 4.6231, 4.6178, 4.6216], \"own_valuation\": 4.6515, \"target_holdings\": 8.5055}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.49776220321655273, "usage": {"prompt_tokens": 333, "completion_tokens": 64, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 1000 | +{"ts": 1793148471.163628, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d3e28e3e599fcf37d421a463c6f31746d41278e8a02be8ee4ba57f0eba3da773", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6216, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0522, \"cash\": 6.0387, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0387, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6717, 4.6409, 4.6231, 4.6178, 4.6216], \"own_valuation\": 4.6515, \"target_holdings\": 8.5055}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4490478038787842, "usage": {"prompt_tokens": 333, "completion_tokens": 60, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 1001 | +{"ts": 1793148473.4921558, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "099306905118ce763d671b5e405ae5efe262bcc8fbc47a4a8234b5d538dd86ac", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6288, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0551, \"cash\": 6.0991, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0991, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6409, 4.6231, 4.6178, 4.6216, 4.6288], \"own_valuation\": 4.6543, \"target_holdings\": 7.2661}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.5362398624420166, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 1002 | +{"ts": 1793148480.574146, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a6d3d7299f4d5a5cb060b77103a999107877fa2517970a3215c3ced133e18ad4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6288, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0551, \"cash\": 6.1576, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1576, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6409, 4.6231, 4.6178, 4.6216, 4.6288], \"own_valuation\": 4.6543, \"target_holdings\": 7.2661}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.47826504707336426, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 1003 | +{"ts": 1793148486.938865, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "eee201005c0b3b9cfee8c704b9e14a336ed8205bd22e0869dc66183fff7cff88", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6481, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 6.1601, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1601, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6231, 4.6178, 4.6216, 4.6288, 4.6481], \"own_valuation\": 4.6573, \"target_holdings\": 2.6211}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4739558696746826, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 1004 | +{"ts": 1793148487.3715022, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1d3edbcda8f1d2e83767e576b2fa132ad9a3fd84006b69deabd59e42bd1f072e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6481, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 6.2192, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2192, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6231, 4.6178, 4.6216, 4.6288, 4.6481], \"own_valuation\": 4.6573, \"target_holdings\": 2.6211}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4320511817932129, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 1005 | +{"ts": 1793148495.974352, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "94060ca8d46bfe2e2c4ecb2a7198938a9857bbe413219fc5981026151ad904b8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6603, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0535, \"cash\": 6.2217, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2217, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6178, 4.6216, 4.6288, 4.6481, 4.6603], \"own_valuation\": 4.6527, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5042648315429688, "usage": {"prompt_tokens": 332, "completion_tokens": 67, "total_tokens": 399, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 1006 | +{"ts": 1793148497.860926, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1178b256fa0fd2e5be426d29365ac2186d01c44d536ec9ae6dcc92f327f8b228", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6603, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0535, \"cash\": 6.2814, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2814, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6178, 4.6216, 4.6288, 4.6481, 4.6603], \"own_valuation\": 4.6527, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.43559908866882324, "usage": {"prompt_tokens": 332, "completion_tokens": 67, "total_tokens": 399, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 1007 | +{"ts": 1793148503.5337238, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4d03c72557e795d92a16756c3fd64c9f61843a91d2a5a799a59303c04556d006", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6043, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.154, \"holdings\": 0.0281, \"loan\": 0.0, \"equity\": 6.2835, \"margin\": 0.5, \"loan_capacity\": 0.0647, \"history\": [4.6216, 4.6288, 4.6481, 4.6603, 4.6596], \"own_valuation\": 4.6518, \"target_holdings\": 13.5324}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0281,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.0281, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4767749309539795, "usage": {"prompt_tokens": 335, "completion_tokens": 65, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 1008 | +{"ts": 1793148506.623847, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "118f991142453dc1ed79500ff3de53c0cc0702c749b3b5283047bd9ce8cfa50e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6043, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.2131, \"holdings\": 0.0284, \"loan\": 0.0, \"equity\": 6.3438, \"margin\": 0.5, \"loan_capacity\": 0.0654, \"history\": [4.6216, 4.6288, 4.6481, 4.6603, 4.6596], \"own_valuation\": 4.6518, \"target_holdings\": 13.5324}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.469249963760376, "usage": {"prompt_tokens": 336, "completion_tokens": 60, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 1009 | +{"ts": 1793148510.498304, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "eabeec2ba7070c2ddbb7725b254b9b67ea6beae7c9e9e526365900fd7c9325ac", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.5751, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0435, \"cash\": 6.2769, \"holdings\": 0.0284, \"loan\": 0.0, \"equity\": 6.4068, \"margin\": 0.5, \"loan_capacity\": 0.0649, \"history\": [4.6288, 4.6481, 4.6603, 4.6596, 4.5751], \"own_valuation\": 4.6429, \"target_holdings\": 19.327}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding is high, sell to reduce exposure\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding is high, sell to reduce exposure"}, "valid": true, "error": "", "cached": false, "latency": 0.4759988784790039, "usage": {"prompt_tokens": 335, "completion_tokens": 58, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 1010 | +{"ts": 1793148513.419029, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "59aacd11ac754d048d3fb6f399363377221d43f96e30ee081afbd15f2c509cf3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.5751, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0435, \"cash\": 6.2172, \"holdings\": 0.0281, \"loan\": 0.0, \"equity\": 6.3459, \"margin\": 0.5, \"loan_capacity\": 0.0643, \"history\": [4.6288, 4.6481, 4.6603, 4.6596, 4.5751], \"own_valuation\": 4.6429, \"target_holdings\": 19.327}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0281,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.0281, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.5264871120452881, "usage": {"prompt_tokens": 335, "completion_tokens": 62, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 1011 | +{"ts": 1793148518.998857, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4ac7c5b353c04275bd0971adb3acaf4c727ea6f5dc5da8dbb7d249a6aa89b132", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.5635, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.341, \"holdings\": 0.0284, \"loan\": 0.0, \"equity\": 6.4705, \"margin\": 0.5, \"loan_capacity\": 0.0648, \"history\": [4.6481, 4.6603, 4.6596, 4.5751, 4.5635], \"own_valuation\": 4.6462, \"target_holdings\": 23.5685}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5209488868713379, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 1012 | +{"ts": 1793148522.778903, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "89a6ffc38f4f20b65943acd03d62b84c58dc6805a06b5b86532d2652cb6cd32b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.5635, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.2807, \"holdings\": 0.0281, \"loan\": 0.0, \"equity\": 6.409, \"margin\": 0.5, \"loan_capacity\": 0.0642, \"history\": [4.6481, 4.6603, 4.6596, 4.5751, 4.5635], \"own_valuation\": 4.6462, \"target_holdings\": 23.5685}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding exceeded, sell to reduce holdings\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding exceeded, sell to reduce holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43016695976257324, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 1013 | +{"ts": 1793148524.9552698, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cec47e8a3bb1115d77089f77a0f6001769d64106850f427a8ba2dd5cd60f3691", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.5619, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0407, \"cash\": 6.3448, \"holdings\": 0.0281, \"loan\": 0.0, \"equity\": 6.4731, \"margin\": 0.5, \"loan_capacity\": 0.0641, \"history\": [4.6603, 4.6596, 4.5751, 4.5635, 4.5619], \"own_valuation\": 4.6401, \"target_holdings\": 22.2871}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding is above target, sell to reduce holdings and free up cash for borrowing if needed.\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding is above target, sell to reduce holdings and free up cash for borrowing if needed."}, "valid": true, "error": "", "cached": false, "latency": 0.5255351066589355, "usage": {"prompt_tokens": 336, "completion_tokens": 67, "total_tokens": 403, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 1014 | +{"ts": 1793148527.938894, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fbcf1325fc240962d56bfcc515b7725a87f5e4b4205bedd26a127c1ccf58814a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.5619, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0407, \"cash\": 6.4057, \"holdings\": 0.0284, \"loan\": 0.0, \"equity\": 6.5352, \"margin\": 0.5, \"loan_capacity\": 0.0648, \"history\": [4.6603, 4.6596, 4.5751, 4.5635, 4.5619], \"own_valuation\": 4.6401, \"target_holdings\": 22.2871}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding is above current value, sell to reduce exposure\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding is above current value, sell to reduce exposure"}, "valid": true, "error": "", "cached": false, "latency": 0.4737577438354492, "usage": {"prompt_tokens": 336, "completion_tokens": 60, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 1015 | +{"ts": 1793148538.061246, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "33a45d6a86bb49a9cf9777ed550494d6a20d205b2a186463eb3e830f879d0c6d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.5714, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0417, \"cash\": 6.471, \"holdings\": 0.0284, \"loan\": 0.0, \"equity\": 6.6008, \"margin\": 0.5, \"loan_capacity\": 0.0649, \"history\": [4.6596, 4.5751, 4.5635, 4.5619, 4.5714], \"own_valuation\": 4.641, \"target_holdings\": 19.8471}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.601754903793335, "usage": {"prompt_tokens": 334, "completion_tokens": 60, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 1016 | +{"ts": 1793148538.492597, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0883616183d15cdf7aaf0ccb69ca45bcd751040820134e602af0bc35224dd70e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.5714, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0417, \"cash\": 6.4095, \"holdings\": 0.0281, \"loan\": 0.0, \"equity\": 6.5381, \"margin\": 0.5, \"loan_capacity\": 0.0643, \"history\": [4.6596, 4.5751, 4.5635, 4.5619, 4.5714], \"own_valuation\": 4.641, \"target_holdings\": 19.8471}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.43076300621032715, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 1017 | +{"ts": 1793148547.5524402, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "398081a3c4d5e7b65a5af557394930ab848207f650de65abafbffbdf3b70bcbb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5147, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0487, \"cash\": 6.6647, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6647, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5751, 4.5635, 4.5619, 4.5714, 4.5147], \"own_valuation\": 4.648, \"target_holdings\": 38.0201}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid overpaying\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid overpaying"}, "valid": true, "error": "", "cached": false, "latency": 0.509207010269165, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 1018 | +{"ts": 1793148549.597366, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "285aec3ef07a6c0c219157e3d5d48681e86db9fd6467e6e6ffd8d55f1382ebb2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5147, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0487, \"cash\": 6.6022, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6022, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5751, 4.5635, 4.5619, 4.5714, 4.5147], \"own_valuation\": 4.648, \"target_holdings\": 38.0201}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid overpaying\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid overpaying"}, "valid": true, "error": "", "cached": false, "latency": 0.469757080078125, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 1019 | +{"ts": 1793148555.199177, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "244b64b4b9b6cf44fa830a62613edbdf530917ddcf30da93d7b9b95df697c66a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.5226, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0414, \"cash\": 6.6682, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6682, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5635, 4.5619, 4.5714, 4.5147, 4.5226], \"own_valuation\": 4.6408, \"target_holdings\": 33.6887}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4611389636993408, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 1020 | +{"ts": 1793148558.00078, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3212d81115d296346f6442c5268d7b4ecac3e5918bac6ced610213c1ebd0a048", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.5226, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0414, \"cash\": 6.7313, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7313, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5635, 4.5619, 4.5714, 4.5147, 4.5226], \"own_valuation\": 4.6408, \"target_holdings\": 33.6887}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4678609371185303, "usage": {"prompt_tokens": 334, "completion_tokens": 59, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 1021 | +{"ts": 1793148558.425519, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "93ac84e7b7e7ac700ce6a260d92e848b91b227f4ee78de6825df61893574f202", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5354, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0409, \"cash\": 6.7987, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7987, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5619, 4.5714, 4.5147, 4.5226, 4.5354], \"own_valuation\": 4.6403, \"target_holdings\": 29.9014}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6403,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6403, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.42369985580444336, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 1022 | +{"ts": 1793148564.721778, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "73eb512eace71d3f05f4a3d43ecc0cd4083c1ccf8cf7f638913d7f6171e51919", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5354, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0409, \"cash\": 6.7349, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7349, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5619, 4.5714, 4.5147, 4.5226, 4.5354], \"own_valuation\": 4.6403, \"target_holdings\": 29.9014}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6403,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6403, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5173008441925049, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 1023 | +{"ts": 1793148571.108607, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fd6174640e8f1c4efffbd356ebd7a808d896d50a2890cf89165523622e51e022", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5519, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.8022, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8022, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5714, 4.5147, 4.5226, 4.5354, 4.5519], \"own_valuation\": 4.6392, \"target_holdings\": 24.9105}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4741199016571045, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 1024 | +{"ts": 1793148574.763366, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f6e70672ca93f7e9d75e142e5749f09bdecfc5bb03db9610cabadc5c94d90959", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5519, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.8666, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8666, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5714, 4.5147, 4.5226, 4.5354, 4.5519], \"own_valuation\": 4.6392, \"target_holdings\": 24.9105}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.523468017578125, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 1025 | +{"ts": 1793148577.726707, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "614250678c77c6aada1822fab56122f59e4790464a91b0a7bf9e6f6f75e782e7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5746, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.9353, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9353, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5147, 4.5226, 4.5354, 4.5519, 4.5746], \"own_valuation\": 4.6432, \"target_holdings\": 19.5488}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4416801929473877, "usage": {"prompt_tokens": 333, "completion_tokens": 60, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 1026 | +{"ts": 1793148583.423133, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8f0a133efa1ca16bbe34019d2c5238e4e552071f7724d84a2871b720afd48dd9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5746, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.8703, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8703, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5147, 4.5226, 4.5354, 4.5519, 4.5746], \"own_valuation\": 4.6432, \"target_holdings\": 19.5488}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.47263002395629883, "usage": {"prompt_tokens": 333, "completion_tokens": 60, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 1027 | +{"ts": 1793148583.8587809, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1e856e41d7cf1414a76c11f73e0de0915446ab2616c037cdb535fa0c0b02a4e3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.75, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0426, \"cash\": 7.0047, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0047, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5226, 4.5354, 4.5519, 4.5746, 4.75], \"own_valuation\": 4.6419, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.43467068672180176, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 1028 | +{"ts": 1793148584.295702, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b746f90bf115add3a036d3e69d7fbf9b028a8b38bbdb06063f08ddd30814b117", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.75, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0426, \"cash\": 6.939, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.939, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5226, 4.5354, 4.5519, 4.5746, 4.75], \"own_valuation\": 4.6419, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4363560676574707, "usage": {"prompt_tokens": 329, "completion_tokens": 67, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 218}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 1029 | +{"ts": 1793148594.159541, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f3f3b441a0da5fb3a0ff43748ffe1d3d3a57256997798a93297cb32e47ab164d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.4399, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0612, \"cash\": 6.4353, \"holdings\": 0.1417, \"loan\": 0.0, \"equity\": 7.0643, \"margin\": 0.5, \"loan_capacity\": 0.3145, \"history\": [4.5354, 4.5519, 4.5746, 4.75, 4.7659], \"own_valuation\": 4.6604, \"target_holdings\": 62.8672}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5226190090179443, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 1030 | +{"ts": 1793148599.939043, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "10860d095f355a6e9e2d0107d3ba4196e223015867c61b241baf4864039e9c7d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.4399, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0612, \"cash\": 6.3749, \"holdings\": 0.1403, \"loan\": 0.0, \"equity\": 6.998, \"margin\": 0.5, \"loan_capacity\": 0.3115, \"history\": [4.5354, 4.5519, 4.5746, 4.75, 4.7659], \"own_valuation\": 4.6604, \"target_holdings\": 62.8672}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5363383293151855, "usage": {"prompt_tokens": 334, "completion_tokens": 60, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 1031 | +{"ts": 1793148602.0704808, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ad6c8c7165b8ec7ba63d3f790b402364d51557e2732158e6013e26baa3de1532", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.4246, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0603, \"cash\": 6.7121, \"holdings\": 0.0812, \"loan\": 0.0, \"equity\": 7.0716, \"margin\": 0.5, \"loan_capacity\": 0.1797, \"history\": [4.5519, 4.5746, 4.75, 4.7659, 4.4246], \"own_valuation\": 4.6594, \"target_holdings\": 66.9635}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.46146082878112793, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 1032 | +{"ts": 1793148603.522999, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a0db1f2bd98074e822f79f15faeb272090bc56c00111c5661c596ec4cd9bfd61", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.4246, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0603, \"cash\": 6.5083, \"holdings\": 0.1417, \"loan\": 0.0, \"equity\": 7.1351, \"margin\": 0.5, \"loan_capacity\": 0.3134, \"history\": [4.5519, 4.5746, 4.75, 4.7659, 4.4246], \"own_valuation\": 4.6594, \"target_holdings\": 66.9635}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4493691921234131, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 1033 | +{"ts": 1793148612.735467, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3d862fc14652b6e64418a7a41de1ee688a2dd0e560d4b5b53c0e22044b447665", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.4186, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0348, \"cash\": 6.5828, \"holdings\": 0.1417, \"loan\": 0.0, \"equity\": 7.2087, \"margin\": 0.5, \"loan_capacity\": 0.313, \"history\": [4.5746, 4.75, 4.7659, 4.4246, 4.4186], \"own_valuation\": 4.6342, \"target_holdings\": 61.4594}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4460010528564453, "usage": {"prompt_tokens": 334, "completion_tokens": 60, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 1034 | +{"ts": 1793148614.679739, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "515c2d42ae6fc907ef7a1b7f6e388c6e98cb6d697a93a97770b45c2be64c2423", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.4186, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0348, \"cash\": 6.7846, \"holdings\": 0.0812, \"loan\": 0.0, \"equity\": 7.1436, \"margin\": 0.5, \"loan_capacity\": 0.1795, \"history\": [4.5746, 4.75, 4.7659, 4.4246, 4.4186], \"own_valuation\": 4.6342, \"target_holdings\": 61.4594}\nReply with the JSON action."}], "temperature": 0.0, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4119250774383545, "usage": {"prompt_tokens": 335, "completion_tokens": 60, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 1035 | +{"ts": 1793148616.875863, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d5fc3cf08ce76a7cd15b5a11495fd9c39c6867fcb9f981db2c4b289d911c94c4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0449, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6442, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6458,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6458, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4953432083129883, "usage": {"prompt_tokens": 310, "completion_tokens": 66, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 1036 | +{"ts": 1793148617.241174, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d5fc3cf08ce76a7cd15b5a11495fd9c39c6867fcb9f981db2c4b289d911c94c4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0449, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6442, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6458,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6458, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.35820484161376953, "usage": {"prompt_tokens": 310, "completion_tokens": 66, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 1037 | +{"ts": 1793148617.671555, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8fd5cea3fd6c7c87c63756aaccbb23b9ed7c377c1ad0c5f6aa4c386026f4807a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6497, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0484, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7689, \"margin\": 0.5, \"loan_capacity\": 2.3248, \"history\": [4.6458, 4.6497], \"own_valuation\": 4.6476, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0, so holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 0.42641496658325195, "usage": {"prompt_tokens": 316, "completion_tokens": 64, "total_tokens": 380, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 1038 | +{"ts": 1793148621.145791, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8fd5cea3fd6c7c87c63756aaccbb23b9ed7c377c1ad0c5f6aa4c386026f4807a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6497, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0484, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7689, \"margin\": 0.5, \"loan_capacity\": 2.3248, \"history\": [4.6458, 4.6497], \"own_valuation\": 4.6476, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0, so holding at current price\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0, so holding at current price"}, "valid": true, "error": "", "cached": false, "latency": 0.38834428787231445, "usage": {"prompt_tokens": 316, "completion_tokens": 64, "total_tokens": 380, "prompt_tokens_details": {"cached_tokens": 315}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 1039 | +{"ts": 1793148627.714756, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6e07bcb3f7a95860f70cb49a74b103467552eb7d9a6c80073eec2538e2c3a70b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.659, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0182, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8336, \"margin\": 0.5, \"loan_capacity\": 2.3295, \"history\": [4.6458, 4.6497, 4.659], \"own_valuation\": 4.6178, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5219109058380127, "usage": {"prompt_tokens": 320, "completion_tokens": 64, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 1040 | +{"ts": 1793148628.1020732, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6e07bcb3f7a95860f70cb49a74b103467552eb7d9a6c80073eec2538e2c3a70b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.659, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0182, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8336, \"margin\": 0.5, \"loan_capacity\": 2.3295, \"history\": [4.6458, 4.6497, 4.659], \"own_valuation\": 4.6178, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.38660407066345215, "usage": {"prompt_tokens": 320, "completion_tokens": 64, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 319}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 1041 | +{"ts": 1793148633.031859, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b261b20b63950f663d6bf0b71dd31c1bc806ff2ae70ce655b9e6172a9d4bf3b1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6578, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0455, \"cash\": 3.5498, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.8787, \"margin\": 0.5, \"loan_capacity\": 1.1645, \"history\": [4.6458, 4.6497, 4.659, 4.6578], \"own_valuation\": 4.6448, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.46660828590393066, "usage": {"prompt_tokens": 327, "completion_tokens": 63, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 1042 | +{"ts": 1793148637.703323, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "158a40fbb7173fa4d2519d3a8da2c2d0aea30ef109b014b0be82b7f85b7fa814", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6578, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0455, \"cash\": 3.5487, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.8776, \"margin\": 0.5, \"loan_capacity\": 1.1645, \"history\": [4.6458, 4.6497, 4.659, 4.6578], \"own_valuation\": 4.6448, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.48148012161254883, "usage": {"prompt_tokens": 327, "completion_tokens": 63, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 1043 | +{"ts": 1793148642.1269429, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d95806bc60615a5be6044474490f802eb687eed759b74bb4db7f104c2a232322", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6456, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0616, \"cash\": 4.0704, \"holdings\": 0.4, \"loan\": 0.0, \"equity\": 5.9287, \"margin\": 0.5, \"loan_capacity\": 0.9291, \"history\": [4.6458, 4.6497, 4.659, 4.6578, 4.6456], \"own_valuation\": 4.6608, \"target_holdings\": 4.3194}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.46754884719848633, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 1044 | +{"ts": 1793148646.0673852, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5fe0e5694d3a80c7c30ec91ba95ae6255b81ac7e09c2471fa144e03e046f8051", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6456, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0616, \"cash\": 4.0743, \"holdings\": 0.4, \"loan\": 0.0, \"equity\": 5.9325, \"margin\": 0.5, \"loan_capacity\": 0.9291, \"history\": [4.6458, 4.6497, 4.659, 4.6578, 4.6456], \"own_valuation\": 4.6608, \"target_holdings\": 4.3194}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.43198204040527344, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 1045 | +{"ts": 1793148648.962921, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9ce187ed0d2f923e198d35db1f2c9d61724dfafd01b0c61e26d9382ed3a9a395", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6416, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 4.6021, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 5.9946, \"margin\": 0.5, \"loan_capacity\": 0.6962, \"history\": [4.6497, 4.659, 4.6578, 4.6456, 4.6416], \"own_valuation\": 4.65, \"target_holdings\": 2.4129}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.3,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.3, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.4536151885986328, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 1046 | +{"ts": 1793148652.882873, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2f6e45c2bd1e482d045f5993b5c914a4b353e74a6e8d688f086d4407aafcf115", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6416, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 4.5983, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 5.9908, \"margin\": 0.5, \"loan_capacity\": 0.6962, \"history\": [4.6497, 4.659, 4.6578, 4.6456, 4.6416], \"own_valuation\": 4.65, \"target_holdings\": 2.4129}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.3,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.3, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.4476048946380615, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 1047 | +{"ts": 1793148658.413561, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "53b241dc7ccaceeee65dc86f57767e312aa93e967ca0f21a41e880032ef26785", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6486, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0566, \"cash\": 4.6605, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 6.0551, \"margin\": 0.5, \"loan_capacity\": 0.6973, \"history\": [4.659, 4.6578, 4.6456, 4.6416, 4.6486], \"own_valuation\": 4.6558, \"target_holdings\": 2.0544}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, sell to rebalance\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, sell to rebalance"}, "valid": true, "error": "", "cached": false, "latency": 0.48648810386657715, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 1048 | +{"ts": 1793148665.512444, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "088af7415db1cded9b65c27428c872521b6171edb0203ff70fa63b7ccf6e1293", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6486, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0566, \"cash\": 5.3804, \"holdings\": 0.1458, \"loan\": 0.0, \"equity\": 6.058, \"margin\": 0.5, \"loan_capacity\": 0.3388, \"history\": [4.659, 4.6578, 4.6456, 4.6416, 4.6486], \"own_valuation\": 4.6558, \"target_holdings\": 2.0544}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1458,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1458, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.42998290061950684, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 1049 | +{"ts": 1793148669.6604538, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "29aff2858557d408a3fb75ffcdd9c55f25a36cd1e13a8f9ff0dcea320a8e859b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6455, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 5.6408, \"holdings\": 0.1031, \"loan\": 0.0, \"equity\": 6.1196, \"margin\": 0.5, \"loan_capacity\": 0.2394, \"history\": [4.6578, 4.6456, 4.6416, 4.6486, 4.6455], \"own_valuation\": 4.6587, \"target_holdings\": 3.7769}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1031,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.1031, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.5252349376678467, "usage": {"prompt_tokens": 336, "completion_tokens": 57, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 1050 | +{"ts": 1793148673.365082, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bab7495b8a81bbee1a72836a8096d3be1dfeca5f96bf83ceba9112a88bed3c1f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6455, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 4.7251, \"holdings\": 0.3, \"loan\": 0.0, \"equity\": 6.1188, \"margin\": 0.5, \"loan_capacity\": 0.6968, \"history\": [4.6578, 4.6456, 4.6416, 4.6486, 4.6455], \"own_valuation\": 4.6587, \"target_holdings\": 3.7769}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to rebalance portfolio\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to rebalance portfolio"}, "valid": true, "error": "", "cached": false, "latency": 0.4351198673248291, "usage": {"prompt_tokens": 335, "completion_tokens": 62, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 1051 | +{"ts": 1793148679.8778582, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "caf73f0e4ad5ea5ba7026e649b0a70de2fa41d9237974a867fddaa4f392bbbf9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6561, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0463, \"cash\": 5.2543, \"holdings\": 0.2, \"loan\": 0.0, \"equity\": 6.1856, \"margin\": 0.5, \"loan_capacity\": 0.4656, \"history\": [4.6456, 4.6416, 4.6486, 4.6455, 4.6561], \"own_valuation\": 4.6456, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-holding\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-holding"}, "valid": true, "error": "", "cached": false, "latency": 0.49414515495300293, "usage": {"prompt_tokens": 334, "completion_tokens": 63, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 1052 | +{"ts": 1793148680.315604, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "78079f2bd33c1b871193844bb52f01918d23ed2fd2b2ae7f2db86fbef0cd1e9a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6561, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0463, \"cash\": 6.181, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.181, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6456, 4.6416, 4.6486, 4.6455, 4.6561], \"own_valuation\": 4.6456, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4373188018798828, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 1053 | +{"ts": 1793148685.5812979, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "745618b69857073acf786f78a13251be6c95e07bf1edd1208f1bc685a57c898a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6469, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0604, \"cash\": 5.7818, \"holdings\": 0.1, \"loan\": 0.0, \"equity\": 6.2465, \"margin\": 0.5, \"loan_capacity\": 0.2324, \"history\": [4.6416, 4.6486, 4.6455, 4.6561, 4.6469], \"own_valuation\": 4.6595, \"target_holdings\": 3.6059}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded, sell to meet target\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.65, "borrow": 0, "rationale": "Target holdings exceeded, sell to meet target"}, "valid": true, "error": "", "cached": false, "latency": 0.4313528537750244, "usage": {"prompt_tokens": 335, "completion_tokens": 57, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 1054 | +{"ts": 1793148687.6767302, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "86560d17ecd269a5b68fd3960266d03a20583927b3229a444715cd8249ed6e15", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6469, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0604, \"cash\": 6.2428, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2428, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6416, 4.6486, 4.6455, 4.6561, 4.6469], \"own_valuation\": 4.6595, \"target_holdings\": 3.6059}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.45742011070251465, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 1055 | +{"ts": 1793148692.202893, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f156b87a74682420aaa3e9284288eefacaf695be1757e1656af05d11bc36a35c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6238, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0517, \"cash\": 6.3052, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3052, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6486, 4.6455, 4.6561, 4.6469, 4.6238], \"own_valuation\": 4.651, \"target_holdings\": 7.7468}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5233218669891357, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 1056 | +{"ts": 1793148694.3813949, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d0dfce2d22d64e8becfc731dfdaea8fca501bcfc60ac04979de23e6716215eab", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6238, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0517, \"cash\": 5.8456, \"holdings\": 0.1, \"loan\": 0.0, \"equity\": 6.308, \"margin\": 0.5, \"loan_capacity\": 0.2312, \"history\": [4.6486, 4.6455, 4.6561, 4.6469, 4.6238], \"own_valuation\": 4.651, \"target_holdings\": 7.7468}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded, sell to meet target\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded, sell to meet target"}, "valid": true, "error": "", "cached": false, "latency": 0.4476499557495117, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 1057 | +{"ts": 1793148699.596411, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c25930ee04b1fe0def7675c7bfc89b9353469fed482b2c0befa3f7ec9001e749", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6225, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0429, \"cash\": 6.3683, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3683, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6455, 4.6561, 4.6469, 4.6238, 4.6225], \"own_valuation\": 4.6422, \"target_holdings\": 5.6157}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6422,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6422, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.47768402099609375, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 1058 | +{"ts": 1793148705.0537028, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "71722324589298441b2e1bad5bf6bbda7fcfbdf5e2675efb5a8722c53f846ec3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6225, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0429, \"cash\": 6.37, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.37, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6455, 4.6561, 4.6469, 4.6238, 4.6225], \"own_valuation\": 4.6422, \"target_holdings\": 5.6157}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.45032501220703125, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 1059 | +{"ts": 1793148713.339565, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "560c8ac9a18a141947d246720ed3f22b93ebbc531085239dd7ff0ce27006c18c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6241, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0404, \"cash\": 6.432, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.432, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6561, 4.6469, 4.6238, 4.6225, 4.6241], \"own_valuation\": 4.6398, \"target_holdings\": 4.4618}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6398,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6398, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4719510078430176, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 1060 | +{"ts": 1793148716.2458491, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "06b6b5ad6408f01cb0336bd4d665149d7f9b86be2f71c792198d91d29e711c90", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6241, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0404, \"cash\": 6.4337, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4337, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6561, 4.6469, 4.6238, 4.6225, 4.6241], \"own_valuation\": 4.6398, \"target_holdings\": 4.4618}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6398,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6398, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.524951696395874, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 1061 | +{"ts": 1793148716.7579038, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "febd4f9e4dcfeec4e90d61e0f3b1dec080247e8033564ab8f383f4c5f8a1dff0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6369, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 6.498, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.498, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6469, 4.6238, 4.6225, 4.6241, 4.6369], \"own_valuation\": 4.6445, \"target_holdings\": 2.1486}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.64,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.64, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5109870433807373, "usage": {"prompt_tokens": 332, "completion_tokens": 63, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 1062 | +{"ts": 1793148718.069134, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e7cf96f4dc0b8d455b864de347c49a3f79e0a2d345452808f00e5d7af1cedbf0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6369, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 6.4963, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4963, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6469, 4.6238, 4.6225, 4.6241, 4.6369], \"own_valuation\": 4.6445, \"target_holdings\": 2.1486}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.64,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.64, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4127340316772461, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 1063 | +{"ts": 1793148731.311615, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "af5af2a3cebd7783010cf85d62f4766bb4dd898fd7afaa6b682cb3df883eaf73", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.645, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 6.563, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.563, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6238, 4.6225, 4.6241, 4.6369, 4.645], \"own_valuation\": 4.6487, \"target_holdings\": 1.0579}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4995310306549072, "usage": {"prompt_tokens": 330, "completion_tokens": 63, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 1064 | +{"ts": 1793148732.487697, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "544f66956ce392cfc6e626d930f92cf5e8a7149ab894aaabac1cbab9debf33f9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.645, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 6.5612, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5613, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6238, 4.6225, 4.6241, 4.6369, 4.645], \"own_valuation\": 4.6487, \"target_holdings\": 1.0579}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4093160629272461, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 1065 | +{"ts": 1793148737.819295, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f74fcbf0f09c77adbd9ae02c399547ad8c377d5a5f1f4dcb09e886306378f86e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6435, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0528, \"cash\": 6.6269, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6269, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6225, 4.6241, 4.6369, 4.645, 4.6435], \"own_valuation\": 4.6521, \"target_holdings\": 2.4298}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid overpaying\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid overpaying"}, "valid": true, "error": "", "cached": false, "latency": 0.5128519535064697, "usage": {"prompt_tokens": 332, "completion_tokens": 63, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 1066 | +{"ts": 1793148742.535022, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "877a40fdbc35806a3310d01e39dbc9717f35056e8ac36dcc27be91d68a004a4b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6435, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0528, \"cash\": 6.6286, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6286, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6225, 4.6241, 4.6369, 4.645, 4.6435], \"own_valuation\": 4.6521, \"target_holdings\": 2.4298}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.2,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid overpaying\"\n}", "parsed": {"side": "sell", "quantity": 0.2, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid overpaying"}, "valid": true, "error": "", "cached": false, "latency": 0.6122443675994873, "usage": {"prompt_tokens": 332, "completion_tokens": 63, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 1067 | +{"ts": 1793148744.709745, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "de674c9082a818a7237e2265b2d00d58a40e6f8fbd868e8736d0c445c3e44c8c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6537, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0534, \"cash\": 6.6931, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6931, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6241, 4.6369, 4.645, 4.6435, 4.6537], \"own_valuation\": 4.6526, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6526,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding price reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6526, "borrow": 0.0, "rationale": "Target holding price reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4591689109802246, "usage": {"prompt_tokens": 332, "completion_tokens": 58, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 1068 | +{"ts": 1793148748.6284852, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "79bbb88b02e8124278301804a44948b748af38b9a69eb345d3dfa71fec603276", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6537, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0534, \"cash\": 6.6949, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6949, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6241, 4.6369, 4.645, 4.6435, 4.6537], \"own_valuation\": 4.6526, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6526,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding price reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6526, "borrow": 0.0, "rationale": "Target holding price reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4280400276184082, "usage": {"prompt_tokens": 332, "completion_tokens": 58, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 1069 | +{"ts": 1793148753.172791, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "de27c4c788525fa906cf3d8eac79c222329d2bbd47207f87ee638921ba141edc", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6556, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0522, \"cash\": 6.76, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7601, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6369, 4.645, 4.6435, 4.6537, 4.6556], \"own_valuation\": 4.6515, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6515,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6515, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4649689197540283, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 1070 | +{"ts": 1793148753.612828, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6a2107508d85fbcecbcc5ba625f208a6f908520cd7696cd630064d89ff36e68c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6556, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0522, \"cash\": 6.7618, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7619, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6369, 4.645, 4.6435, 4.6537, 4.6556], \"own_valuation\": 4.6515, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4396519660949707, "usage": {"prompt_tokens": 332, "completion_tokens": 67, "total_tokens": 399, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 1071 | +{"ts": 1793148760.984524, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6bcbe5faab33673c34343cf5e8fc9b980b6bb016ee3d83546b3aff7b17493192", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6534, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0396, \"cash\": 6.8276, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8277, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.645, 4.6435, 4.6537, 4.6556, 4.6534], \"own_valuation\": 4.639, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4733719825744629, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 1072 | +{"ts": 1793148761.431682, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d8d590fb7788a756b12887ec043543f3802808fc86a32602e6cb4683fce29dc8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.6534, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0396, \"cash\": 6.8295, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8295, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.645, 4.6435, 4.6537, 4.6556, 4.6534], \"own_valuation\": 4.639, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4467282295227051, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 1073 | +{"ts": 1793148770.846947, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "28c0c3b20d3bcfd75e1a0e2cc771a942f98039091645bfaf4d9d31f1c68193fe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.654, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0479, \"cash\": 6.8978, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8978, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6435, 4.6537, 4.6556, 4.6534, 4.654], \"own_valuation\": 4.6471, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.6003901958465576, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 1074 | +{"ts": 1793148774.697995, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7f35a8e13ec608ca2f79004876cb4cba4381af0094b55a5d2624f3d5a5a54703", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.654, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0479, \"cash\": 6.8959, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.896, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6435, 4.6537, 4.6556, 4.6534, 4.654], \"own_valuation\": 4.6471, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.46157097816467285, "usage": {"prompt_tokens": 330, "completion_tokens": 67, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 1075 | +{"ts": 1793148777.4320168, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cd924bb2ec40770b5704f62e181ef18f6b60699f46f7db7f0a4d8b690c2b8afe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.648, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0546, \"cash\": 6.9667, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9668, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6537, 4.6556, 4.6534, 4.654, 4.648], \"own_valuation\": 4.6538, \"target_holdings\": 1.6548}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4894421100616455, "usage": {"prompt_tokens": 331, "completion_tokens": 61, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 1076 | +{"ts": 1793148783.429899, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "176202b15c7ed29b0409ca328d28c95a913908063a328eca40e211077b2be8cb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.648, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0546, \"cash\": 6.9649, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9649, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6537, 4.6556, 4.6534, 4.654, 4.648], \"own_valuation\": 4.6538, \"target_holdings\": 1.6548}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4613819122314453, "usage": {"prompt_tokens": 331, "completion_tokens": 61, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 1077 | +{"ts": 1793148783.865493, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ac9a968c8cae84075f1a74a1648973594b2d0d29b94be68a21d275603b6d34b9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6387, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0592, \"cash\": 7.0345, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0346, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6556, 4.6534, 4.654, 4.648, 4.6387], \"own_valuation\": 4.6583, \"target_holdings\": 5.5912}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4344630241394043, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 1078 | +{"ts": 1793148784.379402, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e3e671858aec01d1aceac1f0043989d2ee99129ced809b0387100dc9e3f83fee", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6387, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0592, \"cash\": 7.0364, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0364, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6556, 4.6534, 4.654, 4.648, 4.6387], \"own_valuation\": 4.6583, \"target_holdings\": 5.5912}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.5134053230285645, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 1079 | +{"ts": 1793148797.06641, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5457860b9f89c038d22acf9bc5e0d528d950a46df19168276e8337a3b0bc9881", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6395, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 7.1068, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1068, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6534, 4.654, 4.648, 4.6387, 4.6395], \"own_valuation\": 4.6505, \"target_holdings\": 3.1273}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.5052940845489502, "usage": {"prompt_tokens": 332, "completion_tokens": 61, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 1080 | +{"ts": 1793148797.478923, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "deb0e2669db839f9ced5ffc802ba1bd8b712bd4ab45ea11fbcdb27e471744da8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6395, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 7.1049, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1049, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6534, 4.654, 4.648, 4.6387, 4.6395], \"own_valuation\": 4.6505, \"target_holdings\": 3.1273}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, holding steady\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, holding steady"}, "valid": true, "error": "", "cached": false, "latency": 0.41192197799682617, "usage": {"prompt_tokens": 332, "completion_tokens": 59, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 1081 | +{"ts": 1793148802.037363, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "36fd5c6da3c7a03ba70af0cf25e36fc26bc537b406f4f1e15cc0af28a48c6ae6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6395, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1759, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.176, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.654, 4.648, 4.6387, 4.6395, 4.6395], \"own_valuation\": 4.6476, \"target_holdings\": 2.3}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"hold\",\n \"limit_price\": 0.0,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.9107849597930908, "usage": {"prompt_tokens": 417, "completion_tokens": 56, "total_tokens": 473, "prompt_tokens_details": {"cached_tokens": 376}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 1082 | +{"ts": 1793148809.1201909, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ab194dba3ee2a1f8a49afe8089db90eb315db421a74d5fabc70396d5bcc5d0d6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6395, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1778, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1779, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.654, 4.648, 4.6387, 4.6395, 4.6395], \"own_valuation\": 4.6476, \"target_holdings\": 2.3}\nReply with the JSON action."}], "temperature": 0.0, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5199811458587646, "usage": {"prompt_tokens": 331, "completion_tokens": 63, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 1083 | +{"ts": 1793148810.3546062, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da35b888fa76b77f090689edd976011b395d068b6c07e5cfda3f9a708d27994d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0379, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6373, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6373,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6373, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.4267458915710449, "usage": {"prompt_tokens": 310, "completion_tokens": 56, "total_tokens": 366, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 1084 | +{"ts": 1793148813.4388769, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da35b888fa76b77f090689edd976011b395d068b6c07e5cfda3f9a708d27994d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0379, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6373, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6373,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6373, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.3932201862335205, "usage": {"prompt_tokens": 310, "completion_tokens": 56, "total_tokens": 366, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 1085 | +{"ts": 1793148817.744472, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d9e3f3e8d47a4b326ef19030745664bc8fee7cf8d9e088262fdfac54eb1bf41a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.639, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0451, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7659, \"margin\": 0.5, \"loan_capacity\": 2.3195, \"history\": [4.6458, 4.639], \"own_valuation\": 4.6444, \"target_holdings\": 1.5386}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Maintain moderate risk and target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Maintain moderate risk and target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.48905205726623535, "usage": {"prompt_tokens": 315, "completion_tokens": 60, "total_tokens": 375, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 1086 | +{"ts": 1793148818.9362009, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d9e3f3e8d47a4b326ef19030745664bc8fee7cf8d9e088262fdfac54eb1bf41a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.639, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0451, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7659, \"margin\": 0.5, \"loan_capacity\": 2.3195, \"history\": [4.6458, 4.639], \"own_valuation\": 4.6444, \"target_holdings\": 1.5386}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Maintain moderate risk and target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Maintain moderate risk and target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4509551525115967, "usage": {"prompt_tokens": 315, "completion_tokens": 60, "total_tokens": 375, "prompt_tokens_details": {"cached_tokens": 314}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 1087 | +{"ts": 1793148829.044951, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a95cce51c05ddd089395a26455e78373e41b9e4e16a6123e08816abe1ac1c8f3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6348, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0462, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.82, \"margin\": 0.5, \"loan_capacity\": 2.3174, \"history\": [4.6458, 4.639, 4.6348], \"own_valuation\": 4.6455, \"target_holdings\": 3.0401}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5154390335083008, "usage": {"prompt_tokens": 321, "completion_tokens": 64, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 1088 | +{"ts": 1793148831.1410298, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a95cce51c05ddd089395a26455e78373e41b9e4e16a6123e08816abe1ac1c8f3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6348, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0462, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.82, \"margin\": 0.5, \"loan_capacity\": 2.3174, \"history\": [4.6458, 4.639, 4.6348], \"own_valuation\": 4.6455, \"target_holdings\": 3.0401}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4474189281463623, "usage": {"prompt_tokens": 321, "completion_tokens": 64, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 320}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 1089 | +{"ts": 1793148836.307847, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "737bba11643876dab380a0eb4a709ec30840878c3fe797cfbf2832562e789485", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6347, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.04, \"cash\": 3.5521, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.8694, \"margin\": 0.5, \"loan_capacity\": 1.1587, \"history\": [4.6458, 4.639, 4.6348, 4.6347], \"own_valuation\": 4.6394, \"target_holdings\": 1.3306}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44887208938598633, "usage": {"prompt_tokens": 327, "completion_tokens": 56, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 1090 | +{"ts": 1793148836.794215, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "869312bff4895b782bdae563a3dde8525b6a59df12b149e3d9bc9231402485a0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6347, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.04, \"cash\": 3.5545, \"holdings\": 0.5, \"loan\": 0.0, \"equity\": 5.8719, \"margin\": 0.5, \"loan_capacity\": 1.1587, \"history\": [4.6458, 4.639, 4.6348, 4.6347], \"own_valuation\": 4.6394, \"target_holdings\": 1.3306}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.48612189292907715, "usage": {"prompt_tokens": 327, "completion_tokens": 56, "total_tokens": 383, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 1091 | +{"ts": 1793148844.459133, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bb1b958475d8caf07b2d3b0a9c5369c8798084332e25d98450008a93f3e3e1fa", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6366, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0511, \"cash\": 5.9253, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9253, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.639, 4.6348, 4.6347, 4.6366], \"own_valuation\": 4.6504, \"target_holdings\": 3.9266}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.469973087310791, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 1092 | +{"ts": 1793148845.7249658, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "501a3180f1bf82e1265a2650003b81a19dac638eb8c1cee04033bff658abfa61", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6366, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0511, \"cash\": 5.9314, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9314, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.639, 4.6348, 4.6347, 4.6366], \"own_valuation\": 4.6504, \"target_holdings\": 3.9266}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4281599521636963, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 1093 | +{"ts": 1793148852.482699, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0741d372a4b4e56010485a9920c9884759dfdcc5fb304ab192c819ce116ce208", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6366, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0275, \"cash\": 5.9907, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9907, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.639, 4.6348, 4.6347, 4.6366, 4.6366], \"own_valuation\": 4.627, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.5147919654846191, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 1094 | +{"ts": 1793148854.48177, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8ef3c4a05c3472531bcca679b813229f902625508b95f9c12639911cb407da21", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6366, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0275, \"cash\": 5.9846, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9846, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.639, 4.6348, 4.6347, 4.6366, 4.6366], \"own_valuation\": 4.627, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4855949878692627, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 1095 | +{"ts": 1793148855.7821708, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4c93d026873dff81dbbdc8f6f406f22e2c766f3db78170644b2dcc45e2c32275", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6248, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0358, \"cash\": 6.0444, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0444, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6348, 4.6347, 4.6366, 4.6366, 4.6248], \"own_valuation\": 4.6352, \"target_holdings\": 2.9667}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5258049964904785, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 1096 | +{"ts": 1793148862.076988, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5e52a661209515cecddbf3ea6a3efbd7678c1130b5a73e5e84f8aee648eda933", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6248, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0358, \"cash\": 6.0506, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0506, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6348, 4.6347, 4.6366, 4.6366, 4.6248], \"own_valuation\": 4.6352, \"target_holdings\": 2.9667}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.5,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 0.5, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.5266749858856201, "usage": {"prompt_tokens": 334, "completion_tokens": 64, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 1097 | +{"ts": 1793148865.219677, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "64b9a8782ececfc661db7b87c1a313a33080ef859eeed4b225756a4ea5e3407c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6007, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0359, \"cash\": 6.1049, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1049, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6347, 4.6366, 4.6366, 4.6248, 4.6007], \"own_valuation\": 4.6353, \"target_holdings\": 9.8694}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4567239284515381, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 1098 | +{"ts": 1793148870.6650932, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8e40da7e6085ba2f8300fabf766ae0d33437293251ae7de60b25a28c8e446256", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6007, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0359, \"cash\": 6.1111, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1111, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6347, 4.6366, 4.6366, 4.6248, 4.6007], \"own_valuation\": 4.6353, \"target_holdings\": 9.8694}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.45095300674438477, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 1099 | +{"ts": 1793148879.982914, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "08067a71288c628b886fec5e48db7561baaa6835e7c7998b10a64715eba4b2a2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6066, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0717, \"cash\": 6.1659, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1659, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6366, 4.6366, 4.6248, 4.6007, 4.6066], \"own_valuation\": 4.6708, \"target_holdings\": 18.3072}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.67,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.67, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.446321964263916, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 1100 | +{"ts": 1793148880.423936, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "20333733fd37921e474d17ddd3c9b17977f07f0248e09f287c2a2f21e77d8914", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.6066, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0717, \"cash\": 6.1722, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1722, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6366, 4.6366, 4.6248, 4.6007, 4.6066], \"own_valuation\": 4.6708, \"target_holdings\": 18.3072}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.67,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.67, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.44054603576660156, "usage": {"prompt_tokens": 334, "completion_tokens": 61, "total_tokens": 395, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 1101 | +{"ts": 1793148884.390749, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "132f54deedb5b2e3150018347b21e4c25102dbd7c433dfbf07ec993ea438b9f2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6056, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0598, \"cash\": 6.2339, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2339, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6366, 4.6248, 4.6007, 4.6066, 4.6056], \"own_valuation\": 4.659, \"target_holdings\": 15.2158}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4945530891418457, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 1102 | +{"ts": 1793148884.810828, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "20b39f225ab9f57c0177b39cc76bcb27c07c601aa30b71f5f4460a36afec960b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6056, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0598, \"cash\": 6.2276, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2276, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6366, 4.6248, 4.6007, 4.6066, 4.6056], \"own_valuation\": 4.659, \"target_holdings\": 15.2158}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.4196469783782959, "usage": {"prompt_tokens": 333, "completion_tokens": 63, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 1103 | +{"ts": 1793148889.869051, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8d83def9c24907272ef9ccdf624a5e7e97f04dbd8b40b4d3c5bb09c0e1b001e2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6095, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0548, \"cash\": 6.2899, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2899, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6248, 4.6007, 4.6066, 4.6056, 4.6095], \"own_valuation\": 4.654, \"target_holdings\": 12.6978}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4723398685455322, "usage": {"prompt_tokens": 332, "completion_tokens": 64, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 1104 | +{"ts": 1793148892.2248042, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5cae75e9fda0168251147793f342980073138e41c4dd8bcaad2d3d67ebdf6d5c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6095, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0548, \"cash\": 6.2963, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2963, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6248, 4.6007, 4.6066, 4.6056, 4.6095], \"own_valuation\": 4.654, \"target_holdings\": 12.6978}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Moderate risk, sell to avoid over-leveraging\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Moderate risk, sell to avoid over-leveraging"}, "valid": true, "error": "", "cached": false, "latency": 0.4719963073730469, "usage": {"prompt_tokens": 332, "completion_tokens": 64, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 1105 | +{"ts": 1793148902.749084, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5114492be8d7b630df755f495e6a1102b8dbdfb7c504e0e1b1ea07deb90e691a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6387, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.052, \"cash\": 6.3592, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3592, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6007, 4.6066, 4.6056, 4.6095, 4.6387], \"own_valuation\": 4.6512, \"target_holdings\": 3.5757}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4680202007293701, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 1106 | +{"ts": 1793148903.943398, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "adc1c013796a0ac930167dcead10bbbccd7d30a6dc5bf664aebd0900a8e4d43e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6387, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.052, \"cash\": 6.3528, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3528, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6007, 4.6066, 4.6056, 4.6095, 4.6387], \"own_valuation\": 4.6512, \"target_holdings\": 3.5757}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding exceeded\"\n}", "parsed": {"side": "sell", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.38544702529907227, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 1107 | +{"ts": 1793148909.495127, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7284099a2c5b053679873126de0cb185d9d9df3edcf8ee6ac9ce93d4e11c8873", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.65, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0491, \"cash\": 6.4228, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4228, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6066, 4.6056, 4.6095, 4.6387, 4.65], \"own_valuation\": 4.6483, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.47986483573913574, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 1108 | +{"ts": 1793148909.9380999, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0f41944e2b4354db2fa0ec5eefec7abcda7716fc46c8879f95fe2b54eec68d6d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.65, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0491, \"cash\": 6.4163, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4163, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6066, 4.6056, 4.6095, 4.6387, 4.65], \"own_valuation\": 4.6483, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding is 0.0, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding is 0.0, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.44252681732177734, "usage": {"prompt_tokens": 331, "completion_tokens": 67, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 1109 | +{"ts": 1793148913.460742, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0d525feb1b6dc7b1a82d75982e8646fde1cb5473dafca0ee530525381e1b9db8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6474, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0414, \"cash\": 6.487, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4871, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6056, 4.6095, 4.6387, 4.65, 4.6474], \"own_valuation\": 4.6407, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6407,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding price reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6407, "borrow": 0.0, "rationale": "Target holding price reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43672704696655273, "usage": {"prompt_tokens": 331, "completion_tokens": 58, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 3}} | ||||
| 1110 | +{"ts": 1793148914.549407, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "004997ef5d3c63662ec05f6afc49131fc2269e3bc79c05d836c85d71b9d45fe8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6474, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0414, \"cash\": 6.4805, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4805, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6056, 4.6095, 4.6387, 4.65, 4.6474], \"own_valuation\": 4.6407, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6407,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6407, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.39531493186950684, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 3}} | ||||
| 1111 | +{"ts": 1793148927.293192, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3cc13ad3c7096b8e59d29770a9a73d1e59a9c614bc665c9fef81bf05f53750fd", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6204, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0427, \"cash\": 6.5453, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5453, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6095, 4.6387, 4.65, 4.6474, 4.6204], \"own_valuation\": 4.6421, \"target_holdings\": 6.1637}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6421,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6421, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.47864794731140137, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 3}} | ||||
| 1112 | +{"ts": 1793148927.691126, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c23da865b1e01e055e2a8fe698d8ad35203b271f37a5bdf706e5e278d7d7207a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.6204, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0427, \"cash\": 6.5519, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.5519, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6095, 4.6387, 4.65, 4.6474, 4.6204], \"own_valuation\": 4.6421, \"target_holdings\": 6.1637}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6421,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6421, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.3973560333251953, "usage": {"prompt_tokens": 333, "completion_tokens": 57, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 3}} | ||||
| 1113 | +{"ts": 1793148933.632334, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f1a4eeb84afd7bff883ac857f97036926c53c1de489345f88308064f5ab8e400", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6193, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.047, \"cash\": 6.6174, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6174, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6387, 4.65, 4.6474, 4.6204, 4.6193], \"own_valuation\": 4.6462, \"target_holdings\": 7.6787}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.45325279235839844, "usage": {"prompt_tokens": 331, "completion_tokens": 61, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 3}} | ||||
| 1114 | +{"ts": 1793148934.049074, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2b867508217a13efed145a7ea5ea55ab33833070f9219fb44acd308a91904c37", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.6193, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.047, \"cash\": 6.6107, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6107, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6387, 4.65, 4.6474, 4.6204, 4.6193], \"own_valuation\": 4.6462, \"target_holdings\": 7.6787}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.625,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.625, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.41629910469055176, "usage": {"prompt_tokens": 331, "completion_tokens": 63, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 3}} | ||||
| 1115 | +{"ts": 1793148938.618915, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c3f610e5ca0ad52efcd8c2cf6a73cf9cfd6d16872d6a5020395d76beccf81e0d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6296, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.6768, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6768, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.65, 4.6474, 4.6204, 4.6193, 4.6296], \"own_valuation\": 4.6462, \"target_holdings\": 4.7492}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.75,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.75, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.48653173446655273, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 3}} | ||||
| 1116 | +{"ts": 1793148939.7738008, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f70b3a250c0559f8d9c61a02c2df9c8483b4fe26c18070a686368e6d42407913", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.6296, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.6836, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6836, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.65, 4.6474, 4.6204, 4.6193, 4.6296], \"own_valuation\": 4.6462, \"target_holdings\": 4.7492}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.75,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.75, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.3895862102508545, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 3}} | ||||
| 1117 | +{"ts": 1793148945.9600692, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "db9b40b64cfcad2b0fb3bc4b00cccf3d906e7d57f506acbfcca95131b7f06559", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6425, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0612, \"cash\": 6.7504, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7505, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6474, 4.6204, 4.6193, 4.6296, 4.6425], \"own_valuation\": 4.6603, \"target_holdings\": 5.0851}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6603,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6603, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5223038196563721, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 3}} | ||||
| 1118 | +{"ts": 1793148951.201511, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2191adae8b79be28f52e1c8e97eb915cd82a5bb51d52e0578549816117f43480", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.6425, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0612, \"cash\": 6.7436, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7436, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6474, 4.6204, 4.6193, 4.6296, 4.6425], \"own_valuation\": 4.6603, \"target_holdings\": 5.0851}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6603,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6603, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.522752046585083, "usage": {"prompt_tokens": 334, "completion_tokens": 57, "total_tokens": 391, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 3}} | ||||
| 1119 | +{"ts": 1793148955.03835, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "269c5b4d068bb793f043114c3007d34ff7499916f84b98d48a97bcb3643ee54f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.651, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 6.8179, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.818, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6204, 4.6193, 4.6296, 4.6425, 4.651], \"own_valuation\": 4.6565, \"target_holdings\": 1.5644}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6565,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6565, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4367380142211914, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 3}} | ||||
| 1120 | +{"ts": 1793148956.970488, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8b197d547a2dab7745072680bd0e6954489ca6e080ba36820e56481d8987701e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.651, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 6.811, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.811, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6204, 4.6193, 4.6296, 4.6425, 4.651], \"own_valuation\": 4.6565, \"target_holdings\": 1.5644}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6565,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6565, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.438737154006958, "usage": {"prompt_tokens": 330, "completion_tokens": 57, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 3}} | ||||
| 1121 | +{"ts": 1793148965.88337, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7729a1c146bf83f6bee89469d4092cac419faf2f098c839620a7cb1afdd88661", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6443, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0534, \"cash\": 6.8861, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8861, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6193, 4.6296, 4.6425, 4.651, 4.6443], \"own_valuation\": 4.6526, \"target_holdings\": 2.3617}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.49176597595214844, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 3}} | ||||
| 1122 | +{"ts": 1793148970.418253, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f54b34d1114a36139772564fe0d810a026b7a7f8aa8119b1c72ccf3fe5c901f8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6443, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0534, \"cash\": 6.8791, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8791, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6193, 4.6296, 4.6425, 4.651, 4.6443], \"own_valuation\": 4.6526, \"target_holdings\": 2.3617}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to adjust\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to adjust"}, "valid": true, "error": "", "cached": false, "latency": 0.4761509895324707, "usage": {"prompt_tokens": 333, "completion_tokens": 61, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 3}} | ||||
| 1123 | +{"ts": 1793148976.740685, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c7067002704a656f959505e00f9e148adeeb9255324a1fc969848eaea3adde23", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.623, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0569, \"cash\": 6.9479, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9479, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6296, 4.6425, 4.651, 4.6443, 4.623], \"own_valuation\": 4.6561, \"target_holdings\": 9.4279}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6561,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6561, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.4799652099609375, "usage": {"prompt_tokens": 331, "completion_tokens": 57, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 3}} | ||||
| 1124 | +{"ts": 1793148979.595247, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "05a40bb6145d0f17cf876c7113cc0d603c2621c1b0c35ef266d015791ca81dd3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.623, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0569, \"cash\": 6.955, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.955, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6296, 4.6425, 4.651, 4.6443, 4.623], \"own_valuation\": 4.6561, \"target_holdings\": 9.4279}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.65,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached, no need to buy or sell\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.65, "borrow": 0.0, "rationale": "Target holding reached, no need to buy or sell"}, "valid": true, "error": "", "cached": false, "latency": 0.46018385887145996, "usage": {"prompt_tokens": 329, "completion_tokens": 63, "total_tokens": 392, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 3}} | ||||
| 1125 | +{"ts": 1793148982.1526809, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8543c5b423b77c4c05dfba6a1c8bd76e4628e086d37aa73d4260797218457fb1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6383, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0588, \"cash\": 7.0174, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0174, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6425, 4.651, 4.6443, 4.623, 4.6383], \"own_valuation\": 4.658, \"target_holdings\": 5.613}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.7655060291290283, "usage": {"prompt_tokens": 411, "completion_tokens": 50, "total_tokens": 461, "prompt_tokens_details": {"cached_tokens": 370}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 5, "run": 3}} | ||||
| 1126 | +{"ts": 1793148987.0724669, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "090cffe0c3fbf7c874180b4ef0f1176edff143ae155fe295e8b869d0637c05f1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.6383, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0588, \"cash\": 7.0245, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0245, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6425, 4.651, 4.6443, 4.623, 4.6383], \"own_valuation\": 4.658, \"target_holdings\": 5.613}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0,\n \"order_type\": \"hold\",\n \"limit_price\": 0,\n \"borrow\": 0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": null, "valid": false, "error": "schema: 'hold' is not one of ['limit', 'market']", "cached": false, "latency": 0.7947752475738525, "usage": {"prompt_tokens": 411, "completion_tokens": 50, "total_tokens": 461, "prompt_tokens_details": {"cached_tokens": 370}}, "cost_usd": 0.0, "attempts": 2, "tags": {"period": 21, "agent": 2, "run": 3}} | ||||
| 1127 | +{"ts": 1793148993.66909, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ffb80b71176aa6f697c9eee4862fc1fce440c48a7a03958a89303f7498fb7c95", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6531, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 7.0948, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0948, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.651, 4.6443, 4.623, 4.6383, 4.6531], \"own_valuation\": 4.6559, \"target_holdings\": 0.7911}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.7911,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6559,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.7911, "order_type": "limit", "limit_price": 4.6559, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.5214369297027588, "usage": {"prompt_tokens": 332, "completion_tokens": 58, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 3}} | ||||
| 1128 | +{"ts": 1793148994.807782, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "876df26703743d8b66fe0cd725e16580c2476a59daa6e9a198113d88e64a5a1c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6531, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 7.0876, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0876, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.651, 4.6443, 4.623, 4.6383, 4.6531], \"own_valuation\": 4.6559, \"target_holdings\": 0.7911}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.7911,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6559,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.7911, "order_type": "limit", "limit_price": 4.6559, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.39489197731018066, "usage": {"prompt_tokens": 332, "completion_tokens": 58, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 3}} | ||||
| 1129 | +{"ts": 1793149001.349599, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f94fca21f43fb4599ea890201d54ef5d00a6c35c17bf960e063bb7a2d02bacee", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6531, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 7.1585, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1585, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6443, 4.623, 4.6383, 4.6531, 4.6531], \"own_valuation\": 4.6464, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6464,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6464, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.44937586784362793, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 3}} | ||||
| 1130 | +{"ts": 1793149003.341658, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b831b9a0d52d90289ee8bf756b07f32cb28c84c8699c86ddf5d9153643369046", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6531, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 7.1657, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1657, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6443, 4.623, 4.6383, 4.6531, 4.6531], \"own_valuation\": 4.6464, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.0, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6464,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding reached\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6464, "borrow": 0.0, "rationale": "Target holding reached"}, "valid": true, "error": "", "cached": false, "latency": 0.43865489959716797, "usage": {"prompt_tokens": 332, "completion_tokens": 57, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 3}} | ||||
| 1131 | +{"ts": 1793149003.725106, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "925fecaa9fd3f44528a75246f9729c1076907f63796011cf2673ef05fd7d04d7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6589, \"target_holdings\": 3.7489}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.37859106063842773, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 1}} | ||||
| 1132 | +{"ts": 1793149004.041224, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "925fecaa9fd3f44528a75246f9729c1076907f63796011cf2673ef05fd7d04d7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0597, \"cash\": 1.064, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7097, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6589, \"target_holdings\": 3.7489}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.31587886810302734, "usage": {"prompt_tokens": 310, "completion_tokens": 55, "total_tokens": 365, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 1}} | ||||
| 1133 | +{"ts": 1793149010.163978, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7fb5e75997a5b847fce80fea3e8da8b6c05a66150b1b8be5a7bb59425ca35f86", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6553, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0495, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7905, \"margin\": 0.5, \"loan_capacity\": 2.3276, \"history\": [4.6458, 4.6553], \"own_valuation\": 4.6488, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45850110054016113, "usage": {"prompt_tokens": 316, "completion_tokens": 55, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 1}} | ||||
| 1134 | +{"ts": 1793149013.8022919, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7fb5e75997a5b847fce80fea3e8da8b6c05a66150b1b8be5a7bb59425ca35f86", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6553, \"dividend\": 0.0599, \"rf\": 0.01, \"expected_dividend\": 0.0495, \"cash\": 1.1352, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7905, \"margin\": 0.5, \"loan_capacity\": 2.3276, \"history\": [4.6458, 4.6553], \"own_valuation\": 4.6488, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.390491247177124, "usage": {"prompt_tokens": 316, "completion_tokens": 55, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 315}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 1}} | ||||
| 1135 | +{"ts": 1793149015.7634828, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f6a61ff85c6ab87b4d039c34cf377b4cca3afd1e14c4e7dfcc5bdb718d6fa759", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6552, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0381, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8606, \"margin\": 0.5, \"loan_capacity\": 2.3276, \"history\": [4.6458, 4.6553, 4.6552], \"own_valuation\": 4.6374, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.44051289558410645, "usage": {"prompt_tokens": 322, "completion_tokens": 55, "total_tokens": 377, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 1}} | ||||
| 1136 | +{"ts": 1793149021.8409972, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f6a61ff85c6ab87b4d039c34cf377b4cca3afd1e14c4e7dfcc5bdb718d6fa759", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6552, \"dividend\": 0.0583, \"rf\": 0.01, \"expected_dividend\": 0.0381, \"cash\": 1.2054, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8606, \"margin\": 0.5, \"loan_capacity\": 2.3276, \"history\": [4.6458, 4.6553, 4.6552], \"own_valuation\": 4.6374, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3480830192565918, "usage": {"prompt_tokens": 322, "completion_tokens": 55, "total_tokens": 377, "prompt_tokens_details": {"cached_tokens": 321}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 1}} | ||||
| 1137 | +{"ts": 1793149023.0331898, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "329ba5118c30b12281ebad071ed78600f82cccf0b0e9d9cc6f6db2554e7293e8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6536, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.9125, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9125, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6553, 4.6552, 4.6536], \"own_valuation\": 4.6476, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45459699630737305, "usage": {"prompt_tokens": 327, "completion_tokens": 55, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 1}} | ||||
| 1138 | +{"ts": 1793149026.435217, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "84351c0e2bc5b099d5853968c84519db47923c545b85b96619b4bbe07c878f45", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6536, \"dividend\": 0.0411, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 5.9163, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9163, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6553, 4.6552, 4.6536], \"own_valuation\": 4.6476, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 0.1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 0.1, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.452312707901001, "usage": {"prompt_tokens": 327, "completion_tokens": 55, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 1}} | ||||
| 1139 | +{"ts": 1793149033.348212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e3bc3d0477046a24935a1a13083a7551b7b932ee56aa6047e6ab245eaee4f0d3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6407, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 5.9754, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9754, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6553, 4.6552, 4.6536, 4.6407], \"own_valuation\": 4.6559, \"target_holdings\": 4.3173}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.46214866638183594, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 1}} | ||||
| 1140 | +{"ts": 1793149039.808533, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4b6802947fe62e577feec15221ebd5e6d338ecc8855b8d5970d29e32018d9e3b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6407, \"dividend\": 0.0546, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 5.9717, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9717, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6553, 4.6552, 4.6536, 4.6407], \"own_valuation\": 4.6559, \"target_holdings\": 4.3173}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.47156214714050293, "usage": {"prompt_tokens": 334, "completion_tokens": 56, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 1}} | ||||
| 1141 | +{"ts": 1793149041.166945, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3d862cf0ac28185cb9730765e4dc7d06444563954d9e0f2ba3c2f8ccde98894a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6193, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0467, \"cash\": 6.0352, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0352, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6553, 4.6552, 4.6536, 4.6407, 4.6193], \"own_valuation\": 4.646, \"target_holdings\": 7.6003}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.43317699432373047, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 1}} | ||||
| 1142 | +{"ts": 1793149043.540587, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "98304113fb1f2ef141c06618047f3274daae2f69a790f57cb48d692dce6347b3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6193, \"dividend\": 0.0568, \"rf\": 0.01, \"expected_dividend\": 0.0467, \"cash\": 6.0314, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0314, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6553, 4.6552, 4.6536, 4.6407, 4.6193], \"own_valuation\": 4.646, \"target_holdings\": 7.6003}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4635128974914551, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 1}} | ||||
| 1143 | +{"ts": 1793149047.9099112, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "32bf91ab818690caa6e9c04175f9dd67ef1a8d15b62c8687a958e34d86e53eed", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6141, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0522, \"cash\": 6.0917, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0917, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6552, 4.6536, 4.6407, 4.6193, 4.6141], \"own_valuation\": 4.6515, \"target_holdings\": 10.6592}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4709291458129883, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 1}} | ||||
| 1144 | +{"ts": 1793149049.141902, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "718c4f69a6707dfaf0f1d5c5c39a732b6768e0a6fac0491cec63869d9282dfac", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6141, \"dividend\": 0.048, \"rf\": 0.01, \"expected_dividend\": 0.0522, \"cash\": 6.0955, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0955, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6552, 4.6536, 4.6407, 4.6193, 4.6141], \"own_valuation\": 4.6515, \"target_holdings\": 10.6592}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.41920924186706543, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 1}} | ||||
| 1145 | +{"ts": 1793149055.5960698, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fdb29eb6b1f957111dc7b42b6dad1be1b67a7aa7a168caa3513199261b802c1c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6233, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0551, \"cash\": 6.1526, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1526, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6536, 4.6407, 4.6193, 4.6141, 4.6233], \"own_valuation\": 4.6543, \"target_holdings\": 8.837}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.46637487411499023, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 1}} | ||||
| 1146 | +{"ts": 1793149055.986316, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e5e0be0f62766c86f7e6477c476aad2ffa06186dc71962b97bebd96d4da2db62", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6233, \"dividend\": 0.0548, \"rf\": 0.01, \"expected_dividend\": 0.0551, \"cash\": 6.1565, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1565, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6536, 4.6407, 4.6193, 4.6141, 4.6233], \"own_valuation\": 4.6543, \"target_holdings\": 8.837}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3897099494934082, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 1}} | ||||
| 1147 | +{"ts": 1793149060.276878, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "188481346517984cc364b86e3adb03d95ed190c31dc9382f1bdf553e0e77acd9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.626, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 6.2141, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2141, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6407, 4.6193, 4.6141, 4.6233, 4.626], \"own_valuation\": 4.6573, \"target_holdings\": 8.9241}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43906259536743164, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 1}} | ||||
| 1148 | +{"ts": 1793149062.251102, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c6ff514926ab69f752165fb42d85f576845a35e73d144459107d15349d5a2743", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.626, \"dividend\": 0.0561, \"rf\": 0.01, \"expected_dividend\": 0.0581, \"cash\": 6.2181, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2181, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6407, 4.6193, 4.6141, 4.6233, 4.626], \"own_valuation\": 4.6573, \"target_holdings\": 8.9241}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4217369556427002, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 1}} | ||||
| 1149 | +{"ts": 1793149067.7972522, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f05b9864a0dc2e153c2d547e7ecee19f992d8e0263ec4eebb66eb964617fa5ed", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6319, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0535, \"cash\": 6.2763, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2763, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6193, 4.6141, 4.6233, 4.626, 4.6319], \"own_valuation\": 4.6527, \"target_holdings\": 5.9428}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43227195739746094, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 1}} | ||||
| 1150 | +{"ts": 1793149068.1906922, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "b7144f7f09911d66abfccd0a4eee2a6bd5bb337a5a76cb2b308070f50d6b440b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6319, \"dividend\": 0.056, \"rf\": 0.01, \"expected_dividend\": 0.0535, \"cash\": 6.2802, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2802, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6193, 4.6141, 4.6233, 4.626, 4.6319], \"own_valuation\": 4.6527, \"target_holdings\": 5.9428}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3929457664489746, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 1}} | ||||
| 1151 | +{"ts": 1793149076.949873, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1f9ee3649bafe695688e859ce3e09cc8d7075cc9667780ebb62d91c69f06e3d7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6427, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.339, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.339, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6141, 4.6233, 4.626, 4.6319, 4.6427], \"own_valuation\": 4.6518, \"target_holdings\": 2.598}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5319218635559082, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 1}} | ||||
| 1152 | +{"ts": 1793149081.154753, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ea2ad5842d49fc86f8a9a5fedbf8230e61a788c94f48e5e0596e6883d37d7570", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.6427, \"dividend\": 0.0533, \"rf\": 0.01, \"expected_dividend\": 0.0526, \"cash\": 6.343, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.343, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6141, 4.6233, 4.626, 4.6319, 4.6427], \"own_valuation\": 4.6518, \"target_holdings\": 2.598}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45023059844970703, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 1}} | ||||
| 1153 | +{"ts": 1793149089.092212, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "33de92f18ed700b2da03cc95eac20d516264f3ee725395fa6b71747f5574fd9b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6511, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0435, \"cash\": 6.4065, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4065, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6233, 4.626, 4.6319, 4.6427, 4.6511], \"own_valuation\": 4.6429, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6429,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6429, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.5230700969696045, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 1}} | ||||
| 1154 | +{"ts": 1793149090.315049, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d0315b04fb38a8ec05bc52d07af87bfab2e417159d22ef76f8ee06468c46889a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.6511, \"dividend\": 0.0571, \"rf\": 0.01, \"expected_dividend\": 0.0435, \"cash\": 6.4024, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4024, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6233, 4.626, 4.6319, 4.6427, 4.6511], \"own_valuation\": 4.6429, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6429,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6429, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.4286670684814453, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 1}} | ||||
| 1155 | +{"ts": 1793149091.451055, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "865519d685deaf1e3157140ad8ce5c49363db74a6f019e00bfeb2d0d2422f445", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.5862, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.3318, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.4704, \"margin\": 0.5, \"loan_capacity\": 0.0693, \"history\": [4.626, 4.6319, 4.6427, 4.6511, 4.6452], \"own_valuation\": 4.6462, \"target_holdings\": 17.1121}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.3883049488067627, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 1}} | ||||
| 1156 | +{"ts": 1793149096.136991, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "739eadc75a70ca0f792ecc1c287e9a482e9898098e413e9257e3804435f6c87e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.5862, \"dividend\": 0.0462, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.3278, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.4663, \"margin\": 0.5, \"loan_capacity\": 0.0692, \"history\": [4.626, 4.6319, 4.6427, 4.6511, 4.6452], \"own_valuation\": 4.6462, \"target_holdings\": 17.1121}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4345991611480713, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 1}} | ||||
| 1157 | +{"ts": 1793149098.09818, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7eb8c36c5735c13222b0670275ce42102f541948c82965f477f6cf3156c5a44f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.5602, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0407, \"cash\": 6.3925, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.5302, \"margin\": 0.5, \"loan_capacity\": 0.0689, \"history\": [4.6319, 4.6427, 4.6511, 4.6452, 4.5602], \"own_valuation\": 4.6401, \"target_holdings\": 22.7644}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.3928828239440918, "usage": {"prompt_tokens": 336, "completion_tokens": 53, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 1}} | ||||
| 1158 | +{"ts": 1793149104.3624, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "18050f0aca844a6a597193872b58c1e5b3ad7ddf08247ce7df49cbb27fa3ba8f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.5602, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0407, \"cash\": 6.3965, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.5343, \"margin\": 0.5, \"loan_capacity\": 0.0689, \"history\": [4.6319, 4.6427, 4.6511, 4.6452, 4.5602], \"own_valuation\": 4.6401, \"target_holdings\": 22.7644}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.40323305130004883, "usage": {"prompt_tokens": 336, "completion_tokens": 53, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 1}} | ||||
| 1159 | +{"ts": 1793149105.473814, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "942c91aaa31eb3a52388367ae8bdde13df7d253e026cbc282464728f1214913e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.5479, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0417, \"cash\": 6.5388, \"holdings\": 0.0135, \"loan\": 0.0, \"equity\": 6.6001, \"margin\": 0.5, \"loan_capacity\": 0.0306, \"history\": [4.6427, 4.6511, 4.6452, 4.5602, 4.5479], \"own_valuation\": 4.641, \"target_holdings\": 26.5599}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.38662123680114746, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 1}} | ||||
| 1160 | +{"ts": 1793149105.867697, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "201bc8caf330484d3bcc9cdbd17ef3933a1e79ff96a91911c3309b7d7b627b90", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.5479, \"dividend\": 0.0434, \"rf\": 0.01, \"expected_dividend\": 0.0417, \"cash\": 6.4578, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.5951, \"margin\": 0.5, \"loan_capacity\": 0.0687, \"history\": [4.6427, 4.6511, 4.6452, 4.5602, 4.5479], \"own_valuation\": 4.641, \"target_holdings\": 26.5599}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.3933370113372803, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 1}} | ||||
| 1161 | +{"ts": 1793149113.63343, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "10f40eaf126ae313238d436d2b2dc41f19b40875ce01cddb8f17c241e0e71fa6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5492, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0487, \"cash\": 6.605, \"holdings\": 0.0135, \"loan\": 0.0, \"equity\": 6.6662, \"margin\": 0.5, \"loan_capacity\": 0.0306, \"history\": [4.6511, 4.6452, 4.5602, 4.5479, 4.5492], \"own_valuation\": 4.648, \"target_holdings\": 28.1876}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4151327610015869, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 1}} | ||||
| 1162 | +{"ts": 1793149116.2496388, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a48f46403e732a11805ed7e51a3c6307676cba3c26d353399e27c6c681677750", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5492, \"dividend\": 0.0527, \"rf\": 0.01, \"expected_dividend\": 0.0487, \"cash\": 6.524, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.6613, \"margin\": 0.5, \"loan_capacity\": 0.0687, \"history\": [4.6511, 4.6452, 4.5602, 4.5479, 4.5492], \"own_valuation\": 4.648, \"target_holdings\": 28.1876}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.5085279941558838, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 1}} | ||||
| 1163 | +{"ts": 1793149117.40419, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5e062e40939751348560441c334a621b1c1aa973b9930747c1eea9b57881f7af", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.5562, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0414, \"cash\": 6.5908, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.7284, \"margin\": 0.5, \"loan_capacity\": 0.0688, \"history\": [4.6452, 4.5602, 4.5479, 4.5492, 4.5562], \"own_valuation\": 4.6408, \"target_holdings\": 24.0953}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4506947994232178, "usage": {"prompt_tokens": 336, "completion_tokens": 52, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 1}} | ||||
| 1164 | +{"ts": 1793149117.7958279, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7d76e92718495b260ac3c1cc35b8e1108f8f9d23bc6e3a1ded53d7d4f0b36051", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.5562, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0414, \"cash\": 6.6717, \"holdings\": 0.0135, \"loan\": 0.0, \"equity\": 6.7331, \"margin\": 0.5, \"loan_capacity\": 0.0307, \"history\": [4.6452, 4.5602, 4.5479, 4.5492, 4.5562], \"own_valuation\": 4.6408, \"target_holdings\": 24.0953}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3911900520324707, "usage": {"prompt_tokens": 336, "completion_tokens": 52, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 1}} | ||||
| 1165 | +{"ts": 1793149123.4515588, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a879e696e795cc3bec9656f4525ef48ee3eb6ecf2cc1f64196276098deded376", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5705, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0409, \"cash\": 6.7391, \"holdings\": 0.0135, \"loan\": 0.0, \"equity\": 6.8007, \"margin\": 0.5, \"loan_capacity\": 0.0308, \"history\": [4.5602, 4.5479, 4.5492, 4.5562, 4.5705], \"own_valuation\": 4.6403, \"target_holdings\": 19.8965}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.41417598724365234, "usage": {"prompt_tokens": 336, "completion_tokens": 52, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 1}} | ||||
| 1166 | +{"ts": 1793149123.810831, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f0245962e7fff04c08a46e547db0d67c4c7ee8eef5a33db421e0b13d45c3247a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5705, \"dividend\": 0.0479, \"rf\": 0.01, \"expected_dividend\": 0.0409, \"cash\": 6.6581, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.7962, \"margin\": 0.5, \"loan_capacity\": 0.069, \"history\": [4.5602, 4.5479, 4.5492, 4.5562, 4.5705], \"own_valuation\": 4.6403, \"target_holdings\": 19.8965}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3588218688964844, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 1}} | ||||
| 1167 | +{"ts": 1793149127.890021, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "226c4c45c580a6ddd4acd01665e365384a5d1e30ec0fd4816fd03b059f321c58", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5907, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.807, \"holdings\": 0.0135, \"loan\": 0.0, \"equity\": 6.8689, \"margin\": 0.5, \"loan_capacity\": 0.0309, \"history\": [4.5479, 4.5492, 4.5562, 4.5705, 4.5907], \"own_valuation\": 4.6392, \"target_holdings\": 13.8379}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.43681883811950684, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 1}} | ||||
| 1168 | +{"ts": 1793149131.716243, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5fa81e01c70090d12aed043766638fa2eba0ec36eb2fa1525b347ec3d7202fb9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5907, \"dividend\": 0.0412, \"rf\": 0.01, \"expected_dividend\": 0.0399, \"cash\": 6.726, \"holdings\": 0.0302, \"loan\": 0.0, \"equity\": 6.8646, \"margin\": 0.5, \"loan_capacity\": 0.0693, \"history\": [4.5479, 4.5492, 4.5562, 4.5705, 4.5907], \"own_valuation\": 4.6392, \"target_holdings\": 13.8379}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4394419193267822, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 1}} | ||||
| 1169 | +{"ts": 1793149132.8174038, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8a6bb18f409c84c773d611225f99902def6584e8fade2d3b59b803c3674b4ca8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6145, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.9378, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9378, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5492, 4.5562, 4.5705, 4.5907, 4.6145], \"own_valuation\": 4.6432, \"target_holdings\": 8.1668}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44399380683898926, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 1}} | ||||
| 1170 | +{"ts": 1793149133.867746, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "33039eddf7cf2e43f072ea806b3e1f3772473e5b31e88d82fd58642025b4a513", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.6145, \"dividend\": 0.043, \"rf\": 0.01, \"expected_dividend\": 0.0439, \"cash\": 6.9335, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9335, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5492, 4.5562, 4.5705, 4.5907, 4.6145], \"own_valuation\": 4.6432, \"target_holdings\": 8.1668}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.43540024757385254, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 1}} | ||||
| 1171 | +{"ts": 1793149137.3294451, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "320a3cfa1b606c08737aa2810afca60cd6d07e74d03e00dd075e542fd1bf8deb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.644, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0426, \"cash\": 7.0028, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0028, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5562, 4.5705, 4.5907, 4.6145, 4.644], \"own_valuation\": 4.6419, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.46941590309143066, "usage": {"prompt_tokens": 331, "completion_tokens": 56, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 1}} | ||||
| 1172 | +{"ts": 1793149137.7494998, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "01a9c927767091137c1f00800e940754821c998e474010c88903500e331be7a8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.644, \"dividend\": 0.0466, \"rf\": 0.01, \"expected_dividend\": 0.0426, \"cash\": 7.0072, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0072, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5562, 4.5705, 4.5907, 4.6145, 4.644], \"own_valuation\": 4.6419, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.41953516006469727, "usage": {"prompt_tokens": 331, "completion_tokens": 56, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 1}} | ||||
| 1173 | +{"ts": 1793149144.3914618, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d26803673dd9c088e0d4f0771175bcb61d8bcac48fe82b367a1d94198afaf8a1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.2976, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0612, \"cash\": 6.3643, \"holdings\": 0.1613, \"loan\": 0.0, \"equity\": 7.0576, \"margin\": 0.5, \"loan_capacity\": 0.3467, \"history\": [4.5705, 4.5907, 4.6145, 4.644, 4.6652], \"own_valuation\": 4.6604, \"target_holdings\": 103.4401}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4549751281738281, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 1}} | ||||
| 1174 | +{"ts": 1793149147.7225118, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "817243ebbae7b3f784b6b099434918e64523f3335fe0967ff2d90be710b5531d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.2976, \"dividend\": 0.0455, \"rf\": 0.01, \"expected_dividend\": 0.0612, \"cash\": 6.3683, \"holdings\": 0.1614, \"loan\": 0.0, \"equity\": 7.0621, \"margin\": 0.5, \"loan_capacity\": 0.3469, \"history\": [4.5705, 4.5907, 4.6145, 4.644, 4.6652], \"own_valuation\": 4.6604, \"target_holdings\": 103.4401}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.5064480304718018, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 1}} | ||||
| 1175 | +{"ts": 1793149148.887869, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2cec6acef3bbe427d20ef8f884cbfc68e8a70ae5fe9e133d7cb1add92791239f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.2807, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0603, \"cash\": 6.5049, \"holdings\": 0.1474, \"loan\": 0.0, \"equity\": 7.1357, \"margin\": 0.5, \"loan_capacity\": 0.3154, \"history\": [4.5907, 4.6145, 4.644, 4.6652, 4.2807], \"own_valuation\": 4.6594, \"target_holdings\": 107.9849}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.43545985221862793, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 1}} | ||||
| 1176 | +{"ts": 1793149150.329291, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "597d94b5a6badc66014dd2ecca4c225d5e64b301c9dc3ddcd50c4c2cda6f70a3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.2807, \"dividend\": 0.0607, \"rf\": 0.01, \"expected_dividend\": 0.0603, \"cash\": 6.4378, \"holdings\": 0.1613, \"loan\": 0.0, \"equity\": 7.1285, \"margin\": 0.5, \"loan_capacity\": 0.3453, \"history\": [4.5907, 4.6145, 4.644, 4.6652, 4.2807], \"own_valuation\": 4.6594, \"target_holdings\": 107.9849}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4180011749267578, "usage": {"prompt_tokens": 335, "completion_tokens": 53, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 1}} | ||||
| 1177 | +{"ts": 1793149155.78515, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "cef4230fbcbda258ce10b6da0649967583463f2e01b698aa2047a40462c617d2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.2742, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0348, \"cash\": 6.5129, \"holdings\": 0.1613, \"loan\": 0.0, \"equity\": 7.2025, \"margin\": 0.5, \"loan_capacity\": 0.3448, \"history\": [4.6145, 4.644, 4.6652, 4.2807, 4.2742], \"own_valuation\": 4.6342, \"target_holdings\": 102.6294}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4254310131072998, "usage": {"prompt_tokens": 335, "completion_tokens": 55, "total_tokens": 390, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 1}} | ||||
| 1178 | +{"ts": 1793149157.6604118, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4fd2b4d259a87854ee7f67dfe382648103ac41e314c389080d24a82a79c0d014", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.2742, \"dividend\": 0.0654, \"rf\": 0.01, \"expected_dividend\": 0.0348, \"cash\": 6.5796, \"holdings\": 0.1474, \"loan\": 0.0, \"equity\": 7.2096, \"margin\": 0.5, \"loan_capacity\": 0.315, \"history\": [4.6145, 4.644, 4.6652, 4.2807, 4.2742], \"own_valuation\": 4.6342, \"target_holdings\": 102.6294}\nReply with the JSON action."}], "temperature": 0.7, "seed": 1005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.39682984352111816, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 1}} | ||||
| 1179 | +{"ts": 1793149158.744405, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d5fc3cf08ce76a7cd15b5a11495fd9c39c6867fcb9f981db2c4b289d911c94c4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0449, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6442, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6442,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6442, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.4332759380340576, "usage": {"prompt_tokens": 310, "completion_tokens": 56, "total_tokens": 366, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 2}} | ||||
| 1180 | +{"ts": 1793149159.160714, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d5fc3cf08ce76a7cd15b5a11495fd9c39c6867fcb9f981db2c4b289d911c94c4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0519, \"rf\": 0.01, \"expected_dividend\": 0.0449, \"cash\": 1.0624, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7082, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6442, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6442,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6442, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.4140806198120117, "usage": {"prompt_tokens": 310, "completion_tokens": 56, "total_tokens": 366, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 2}} | ||||
| 1181 | +{"ts": 1793149159.5567071, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d9d376de6d566028b45dd8d76c05c49bf00a26ce6f335d26f27cb797785e5598", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.65, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0484, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7692, \"margin\": 0.5, \"loan_capacity\": 2.325, \"history\": [4.6458, 4.65], \"own_valuation\": 4.6476, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3931570053100586, "usage": {"prompt_tokens": 313, "completion_tokens": 55, "total_tokens": 368, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 2}} | ||||
| 1182 | +{"ts": 1793149162.3152409, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d9d376de6d566028b45dd8d76c05c49bf00a26ce6f335d26f27cb797785e5598", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.65, \"dividend\": 0.0457, \"rf\": 0.01, \"expected_dividend\": 0.0484, \"cash\": 1.1192, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7692, \"margin\": 0.5, \"loan_capacity\": 2.325, \"history\": [4.6458, 4.65], \"own_valuation\": 4.6476, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.343966007232666, "usage": {"prompt_tokens": 313, "completion_tokens": 55, "total_tokens": 368, "prompt_tokens_details": {"cached_tokens": 312}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 2}} | ||||
| 1183 | +{"ts": 1793149167.21238, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d04df9f5f35afcbdd1ff8d9906fd509b8802fc5ed496a890ed415bcc95928995", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6588, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0182, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8334, \"margin\": 0.5, \"loan_capacity\": 2.3294, \"history\": [4.6458, 4.65, 4.6588], \"own_valuation\": 4.6178, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45125889778137207, "usage": {"prompt_tokens": 321, "completion_tokens": 55, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 2}} | ||||
| 1184 | +{"ts": 1793149167.571018, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d04df9f5f35afcbdd1ff8d9906fd509b8802fc5ed496a890ed415bcc95928995", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6588, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0182, \"cash\": 1.1746, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8334, \"margin\": 0.5, \"loan_capacity\": 2.3294, \"history\": [4.6458, 4.65, 4.6588], \"own_valuation\": 4.6178, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3580899238586426, "usage": {"prompt_tokens": 321, "completion_tokens": 55, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 320}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 2}} | ||||
| 1185 | +{"ts": 1793149169.95026, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c7b2572d633dafa4afd520e4d3368fde919c28bfc64724f0b75c726c094cd668", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.641, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0455, \"cash\": 5.878, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.878, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.65, 4.6588, 4.641], \"own_valuation\": 4.6448, \"target_holdings\": 1.082}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4420468807220459, "usage": {"prompt_tokens": 322, "completion_tokens": 55, "total_tokens": 377, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 2}} | ||||
| 1186 | +{"ts": 1793149170.3586218, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ddf8720e0a8b53f369ada4d63cc799dd124a63b2cfeaaa33f7b7d1985b23f618", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.641, \"dividend\": 0.0224, \"rf\": 0.01, \"expected_dividend\": 0.0455, \"cash\": 5.83, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.83, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.65, 4.6588, 4.641], \"own_valuation\": 4.6448, \"target_holdings\": 1.082}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4078497886657715, "usage": {"prompt_tokens": 322, "completion_tokens": 55, "total_tokens": 377, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 2}} | ||||
| 1187 | +{"ts": 1793149178.8943732, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "1a4831bc3c5b591529a74b4d48acf51cb316a951d0c3125d472b52f5b9d1100a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6133, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0616, \"cash\": 5.9368, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9368, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.65, 4.6588, 4.641, 4.6133], \"own_valuation\": 4.6608, \"target_holdings\": 13.5248}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.444868803024292, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 2}} | ||||
| 1188 | +{"ts": 1793149180.009115, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f3f743e9c1c177a342671ffe1cf2a5d3fcb3f7e7de637305eed62f06bbdbb4a9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6133, \"dividend\": 0.0542, \"rf\": 0.01, \"expected_dividend\": 0.0616, \"cash\": 5.8883, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8883, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.65, 4.6588, 4.641, 4.6133], \"own_valuation\": 4.6608, \"target_holdings\": 13.5248}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3884749412536621, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 2}} | ||||
| 1189 | +{"ts": 1793149180.415474, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c47d6ee5a4c86ebed5945fa42ad5514259b94db19668744625cf7165ce427c43", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6092, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 5.9472, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9472, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.65, 4.6588, 4.641, 4.6133, 4.6092], \"own_valuation\": 4.65, \"target_holdings\": 11.643}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4052901268005371, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 2}} | ||||
| 1190 | +{"ts": 1793149183.082197, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a1bc76399548cba0e8443e4e7287ea6113d49165585c465f45ca3935e84c6d78", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.6092, \"dividend\": 0.0636, \"rf\": 0.01, \"expected_dividend\": 0.0508, \"cash\": 5.9962, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9962, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.65, 4.6588, 4.641, 4.6133, 4.6092], \"own_valuation\": 4.65, \"target_holdings\": 11.643}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4249608516693115, "usage": {"prompt_tokens": 330, "completion_tokens": 55, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 2}} | ||||
| 1191 | +{"ts": 1793149186.3597078, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4268d10f72a030058c295e56f855d282f101c6f92b24e08c01630b0c749f5e14", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6136, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0566, \"cash\": 6.0561, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0561, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6588, 4.641, 4.6133, 4.6092, 4.6136], \"own_valuation\": 4.6558, \"target_holdings\": 12.029}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4369821548461914, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 2}} | ||||
| 1192 | +{"ts": 1793149186.748914, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0459cff72fa41bbc44a26db961c6c87e4490b36581fa3ee645d0adb112ff97ca", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.6136, \"dividend\": 0.0535, \"rf\": 0.01, \"expected_dividend\": 0.0566, \"cash\": 6.0066, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0066, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6588, 4.641, 4.6133, 4.6092, 4.6136], \"own_valuation\": 4.6558, \"target_holdings\": 12.029}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.38872194290161133, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 2}} | ||||
| 1193 | +{"ts": 1793149193.025375, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9c026b4769e1124b69131eadfc2e16af243582f3f8ee2e3b71c5abf299f7823d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6169, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 6.0667, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0667, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.641, 4.6133, 4.6092, 4.6136, 4.6169], \"own_valuation\": 4.6587, \"target_holdings\": 11.9327}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.42978882789611816, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 2}} | ||||
| 1194 | +{"ts": 1793149193.426922, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "537f267c3b717ddddde2646dbbc322e2adf590f48f3a0abe26b99edc0fa25f21", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.6169, \"dividend\": 0.0595, \"rf\": 0.01, \"expected_dividend\": 0.0596, \"cash\": 6.1167, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1167, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.641, 4.6133, 4.6092, 4.6136, 4.6169], \"own_valuation\": 4.6587, \"target_holdings\": 11.9327}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.40085315704345703, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 2}} | ||||
| 1195 | +{"ts": 1793149196.078516, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e994f273a7d55665384963a1f03f29560ef5d1271543bde1c374c9ecd5723958", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.631, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0463, \"cash\": 6.1779, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1779, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6133, 4.6092, 4.6136, 4.6169, 4.631], \"own_valuation\": 4.6456, \"target_holdings\": 4.1512}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.461442232131958, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 2}} | ||||
| 1196 | +{"ts": 1793149198.023273, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e146a3e8a9dfd6057d8136bbb7ca3eb0e107d15ccc80ea529efa1b83d5dabfcf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.631, \"dividend\": 0.0576, \"rf\": 0.01, \"expected_dividend\": 0.0463, \"cash\": 6.1274, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1274, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6133, 4.6092, 4.6136, 4.6169, 4.631], \"own_valuation\": 4.6456, \"target_holdings\": 4.1512}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3933379650115967, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 2}} | ||||
| 1197 | +{"ts": 1793149202.000438, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "36abba2b94dc2939bf02954715d5fbc201f13d035d06582e649158f76a562d6e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6476, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0604, \"cash\": 6.1887, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1887, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6092, 4.6136, 4.6169, 4.631, 4.6476], \"own_valuation\": 4.6595, \"target_holdings\": 3.3944}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6595,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6595, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.4567289352416992, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 2}} | ||||
| 1198 | +{"ts": 1793149204.741914, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7f535ca4cd695802f2fa2891da5d49bdab5ad87d42c5a2817c029421062ca9a1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.6476, \"dividend\": 0.0482, \"rf\": 0.01, \"expected_dividend\": 0.0604, \"cash\": 6.2396, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2396, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6092, 4.6136, 4.6169, 4.631, 4.6476], \"own_valuation\": 4.6595, \"target_holdings\": 3.3944}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6595,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6595, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.4546780586242676, "usage": {"prompt_tokens": 333, "completion_tokens": 56, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 2}} | ||||
| 1199 | +{"ts": 1793149208.1082659, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ead7ae0b8cfc5c397707763f055fa1eea7fb347e5bf3edc4d95faea469ff550a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.4518, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0517, \"cash\": 5.8589, \"holdings\": 0.0991, \"loan\": 0.0, \"equity\": 6.3003, \"margin\": 0.5, \"loan_capacity\": 0.2207, \"history\": [4.6136, 4.6169, 4.631, 4.6476, 4.6524], \"own_valuation\": 4.651, \"target_holdings\": 56.7768}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4157521724700928, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 2}} | ||||
| 1200 | +{"ts": 1793149209.1670861, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2608f93d38bdd014401a6919bfff11f26116e32dfbb0cf0458fbf9d836ae111e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.4518, \"dividend\": 0.0589, \"rf\": 0.01, \"expected_dividend\": 0.0517, \"cash\": 5.8111, \"holdings\": 0.0983, \"loan\": 0.0, \"equity\": 6.2488, \"margin\": 0.5, \"loan_capacity\": 0.2189, \"history\": [4.6136, 4.6169, 4.631, 4.6476, 4.6524], \"own_valuation\": 4.651, \"target_holdings\": 56.7768}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4123802185058594, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 2}} | ||||
| 1201 | +{"ts": 1793149211.674688, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "817291f2cae3b6d0df486291ee2313c33639d1abc9869bde66f92d75caaf4144", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.4459, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0429, \"cash\": 5.8743, \"holdings\": 0.0983, \"loan\": 0.0, \"equity\": 6.3115, \"margin\": 0.5, \"loan_capacity\": 0.2186, \"history\": [4.6169, 4.631, 4.6476, 4.6524, 4.4459], \"own_valuation\": 4.6422, \"target_holdings\": 55.9726}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4167039394378662, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 2}} | ||||
| 1202 | +{"ts": 1793149215.235544, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2b7cc76bf44c5fa91d9cf89f9213b37ab034d7286a720cbcc31e91c54ae3324a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.4459, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0429, \"cash\": 5.9227, \"holdings\": 0.0991, \"loan\": 0.0, \"equity\": 6.3634, \"margin\": 0.5, \"loan_capacity\": 0.2204, \"history\": [4.6169, 4.631, 4.6476, 4.6524, 4.4459], \"own_valuation\": 4.6422, \"target_holdings\": 55.9726}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.4223906993865967, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 2}} | ||||
| 1203 | +{"ts": 1793149217.19859, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ad8e6e0a9b3724e172e5ce0a76479aff5ba4b98337ebc2ef09f7c59c0eefd936", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.4417, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0404, \"cash\": 5.9377, \"holdings\": 0.0983, \"loan\": 0.0, \"equity\": 6.3745, \"margin\": 0.5, \"loan_capacity\": 0.2184, \"history\": [4.631, 4.6476, 4.6524, 4.4459, 4.4417], \"own_valuation\": 4.6398, \"target_holdings\": 56.4819}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.43129491806030273, "usage": {"prompt_tokens": 335, "completion_tokens": 52, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 2}} | ||||
| 1204 | +{"ts": 1793149221.654937, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "326d9d0f47e5c60d731595d645a9db710ae9a2371756896c72397c4eb3a5a799", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.4417, \"dividend\": 0.0474, \"rf\": 0.01, \"expected_dividend\": 0.0404, \"cash\": 5.9866, \"holdings\": 0.0991, \"loan\": 0.0, \"equity\": 6.427, \"margin\": 0.5, \"loan_capacity\": 0.2202, \"history\": [4.631, 4.6476, 4.6524, 4.4459, 4.4417], \"own_valuation\": 4.6398, \"target_holdings\": 56.4819}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44001197814941406, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 2}} | ||||
| 1205 | +{"ts": 1793149224.395293, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7a384985d96b78039d66130df0427dee095d29f31e11d82de93c4737df15b54b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.441, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 6.0506, \"holdings\": 0.0991, \"loan\": 0.0, \"equity\": 6.4909, \"margin\": 0.5, \"loan_capacity\": 0.2202, \"history\": [4.6476, 4.6524, 4.4459, 4.4417, 4.441], \"own_valuation\": 4.6445, \"target_holdings\": 58.0082}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.41849422454833984, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 2}} | ||||
| 1206 | +{"ts": 1793149225.508586, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "efaf9bc43e10f4717d1498aaaa9d905561f87ac148107d6df781d826a9719d72", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.441, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0452, \"cash\": 6.0011, \"holdings\": 0.0983, \"loan\": 0.0, \"equity\": 6.4379, \"margin\": 0.5, \"loan_capacity\": 0.2184, \"history\": [4.6476, 4.6524, 4.4459, 4.4417, 4.441], \"own_valuation\": 4.6445, \"target_holdings\": 58.0082}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.38005495071411133, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 2}} | ||||
| 1207 | +{"ts": 1793149228.038995, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bd3bcec4ee7409c3b6a5a0992daf594b6eeea55364a2f28c7fef1b4029e48ade", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.447, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 6.1161, \"holdings\": 0.0991, \"loan\": 0.0, \"equity\": 6.557, \"margin\": 0.5, \"loan_capacity\": 0.2205, \"history\": [4.6524, 4.4459, 4.4417, 4.441, 4.447], \"own_valuation\": 4.6487, \"target_holdings\": 57.5018}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.445159912109375, "usage": {"prompt_tokens": 332, "completion_tokens": 52, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 2}} | ||||
| 1208 | +{"ts": 1793149230.6529138, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "223a438d6144380db16007f1543a362d554720170ba41dd1a2cb5a3a3068fddf", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.447, \"dividend\": 0.0499, \"rf\": 0.01, \"expected_dividend\": 0.0494, \"cash\": 6.0661, \"holdings\": 0.0983, \"loan\": 0.0, \"equity\": 6.5034, \"margin\": 0.5, \"loan_capacity\": 0.2187, \"history\": [4.6524, 4.4459, 4.4417, 4.441, 4.447], \"own_valuation\": 4.6487, \"target_holdings\": 57.5018}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.41729187965393066, "usage": {"prompt_tokens": 333, "completion_tokens": 52, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 2}} | ||||
| 1209 | +{"ts": 1793149236.8456059, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7e76290a24ca7bdf2eddbe6f8914d1d61172d943273f04ede8033a7b6cd0126e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4564, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0528, \"cash\": 6.1316, \"holdings\": 0.0983, \"loan\": 0.0, \"equity\": 6.5699, \"margin\": 0.5, \"loan_capacity\": 0.2191, \"history\": [4.4459, 4.4417, 4.441, 4.447, 4.4564], \"own_valuation\": 4.6521, \"target_holdings\": 55.7998}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.5109167098999023, "usage": {"prompt_tokens": 333, "completion_tokens": 52, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 2}} | ||||
| 1210 | +{"ts": 1793149239.770772, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "eb15f2351a8ffc1258a2128447bf2774c35aefbb3bed57b7d97b459f5fde2444", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.4564, \"dividend\": 0.049, \"rf\": 0.01, \"expected_dividend\": 0.0528, \"cash\": 6.1821, \"holdings\": 0.0991, \"loan\": 0.0, \"equity\": 6.624, \"margin\": 0.5, \"loan_capacity\": 0.2209, \"history\": [4.4459, 4.4417, 4.441, 4.447, 4.4564], \"own_valuation\": 4.6521, \"target_holdings\": 55.7998}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.40743112564086914, "usage": {"prompt_tokens": 332, "completion_tokens": 52, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 2}} | ||||
| 1211 | +{"ts": 1793149241.9017348, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fd5a12b62b612dbe56c8adc65958b5ded524122b8ef46c58570307c52623c108", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.4793, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0534, \"cash\": 6.1984, \"holdings\": 0.0983, \"loan\": 0.0, \"equity\": 6.6389, \"margin\": 0.5, \"loan_capacity\": 0.2202, \"history\": [4.4417, 4.441, 4.447, 4.4564, 4.4793], \"own_valuation\": 4.6526, \"target_holdings\": 49.4318}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4357731342315674, "usage": {"prompt_tokens": 334, "completion_tokens": 53, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 2}} | ||||
| 1212 | +{"ts": 1793149245.7630668, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a1db52ca4470daad3fb909de7be7891f1ee9e7328c8d057ae4717ed4bea76c92", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.4793, \"dividend\": 0.0549, \"rf\": 0.01, \"expected_dividend\": 0.0534, \"cash\": 6.2495, \"holdings\": 0.0991, \"loan\": 0.0, \"equity\": 6.6936, \"margin\": 0.5, \"loan_capacity\": 0.2221, \"history\": [4.4417, 4.441, 4.447, 4.4564, 4.4793], \"own_valuation\": 4.6526, \"target_holdings\": 49.4318}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.43330907821655273, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 2}} | ||||
| 1213 | +{"ts": 1793149247.130177, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0105b0bfad020eb00bb4252278b4bf37f18d3f8b4d3d632ad70aa0c97bb73742", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.4911, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0522, \"cash\": 6.265, \"holdings\": 0.0983, \"loan\": 0.0, \"equity\": 6.7066, \"margin\": 0.5, \"loan_capacity\": 0.2208, \"history\": [4.441, 4.447, 4.4564, 4.4793, 4.4911], \"own_valuation\": 4.6515, \"target_holdings\": 45.7161}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3935739994049072, "usage": {"prompt_tokens": 333, "completion_tokens": 52, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 2}} | ||||
| 1214 | +{"ts": 1793149249.204587, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ae3d133c35be11977679d9feac79426fd6bd0cad77aad36bc67de7f0d1d15b03", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.4911, \"dividend\": 0.0464, \"rf\": 0.01, \"expected_dividend\": 0.0522, \"cash\": 6.3166, \"holdings\": 0.0991, \"loan\": 0.0, \"equity\": 6.7619, \"margin\": 0.5, \"loan_capacity\": 0.2226, \"history\": [4.441, 4.447, 4.4564, 4.4793, 4.4911], \"own_valuation\": 4.6515, \"target_holdings\": 45.7161}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3847200870513916, "usage": {"prompt_tokens": 334, "completion_tokens": 52, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 2}} | ||||
| 1215 | +{"ts": 1793149252.1481369, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "20702adb02ed812e3c1298508851e5fbd08050efb4db7b8003535d2b44877669", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5013, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0396, \"cash\": 6.7744, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7744, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.447, 4.4564, 4.4793, 4.4911, 4.5013], \"own_valuation\": 4.639, \"target_holdings\": 39.2539}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.6169352531433105, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 2}} | ||||
| 1216 | +{"ts": 1793149254.884435, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5d0f32599b0de36d14ab15bd5b5db3c93a8e27b1fea4e2f2ff9ce3dd1a71fe78", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.5013, \"dividend\": 0.0495, \"rf\": 0.01, \"expected_dividend\": 0.0396, \"cash\": 6.8302, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8302, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.447, 4.4564, 4.4793, 4.4911, 4.5013], \"own_valuation\": 4.639, \"target_holdings\": 39.2539}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45444297790527344, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 2}} | ||||
| 1217 | +{"ts": 1793149257.917108, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "650d61e62fd428883c4841c0846c2f03a22b133738abb111d7153e0036f1085e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5172, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0479, \"cash\": 6.8421, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8421, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4564, 4.4793, 4.4911, 4.5013, 4.5172], \"own_valuation\": 4.6471, \"target_holdings\": 37.0361}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5048837661743164, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 2}} | ||||
| 1218 | +{"ts": 1793149259.0990798, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "248e29c806bae0f1c648e555256c9fd6404ec8a7f573d473060f6e540e788745", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5172, \"dividend\": 0.0408, \"rf\": 0.01, \"expected_dividend\": 0.0479, \"cash\": 6.8985, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8985, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4564, 4.4793, 4.4911, 4.5013, 4.5172], \"own_valuation\": 4.6471, \"target_holdings\": 37.0361}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.38355398178100586, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 2}} | ||||
| 1219 | +{"ts": 1793149263.818408, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a9d0d992c273551bfdf57d55d9ef140009794a295b0cf2ac32ddb0273acd665c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.538, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0546, \"cash\": 6.9675, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9675, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4793, 4.4911, 4.5013, 4.5172, 4.538], \"own_valuation\": 4.6538, \"target_holdings\": 33.0375}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.47211599349975586, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 2}} | ||||
| 1220 | +{"ts": 1793149264.2175622, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0be25716421025aceae9cd2aa6241ca94bcf19c83b8e8134a93cad3ca7113472", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.538, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0546, \"cash\": 6.9105, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9105, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4793, 4.4911, 4.5013, 4.5172, 4.538], \"own_valuation\": 4.6538, \"target_holdings\": 33.0375}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.398540735244751, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 2}} | ||||
| 1221 | +{"ts": 1793149269.724301, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d744ae647e13793ae3e04311a0609aecf555111d3f16e7d685dcf3c3761b8ccb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5612, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0592, \"cash\": 6.9796, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9796, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4911, 4.5013, 4.5172, 4.538, 4.5612], \"own_valuation\": 4.6583, \"target_holdings\": 27.704}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4249699115753174, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 2}} | ||||
| 1222 | +{"ts": 1793149270.1173608, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "95b7b02e98a16143a3339190fdcefbb0ef34dbae41f62679874372a220a4b4a4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5612, \"dividend\": 0.0538, \"rf\": 0.01, \"expected_dividend\": 0.0592, \"cash\": 7.0371, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0371, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.4911, 4.5013, 4.5172, 4.538, 4.5612], \"own_valuation\": 4.6583, \"target_holdings\": 27.704}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3925199508666992, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 2}} | ||||
| 1223 | +{"ts": 1793149274.977111, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3c9945aa7a70cee5d41c521c3a54c1277a6fecabcd7a0b07e2793041c6b5c740", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.5892, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 7.0494, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0494, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5013, 4.5172, 4.538, 4.5612, 4.5892], \"own_valuation\": 4.6505, \"target_holdings\": 17.4882}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.42937207221984863, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 2}} | ||||
| 1224 | +{"ts": 1793149278.489986, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "86c8ff1010696d81d99f1f8fffa862aa4ef21eaf08e8e768b76a38435e902eb4", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.5892, \"dividend\": 0.0552, \"rf\": 0.01, \"expected_dividend\": 0.0512, \"cash\": 7.1075, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1075, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5013, 4.5172, 4.538, 4.5612, 4.5892], \"own_valuation\": 4.6505, \"target_holdings\": 17.4882}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.42180299758911133, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 2}} | ||||
| 1225 | +{"ts": 1793149282.977139, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f8a44386b7e08ecd4e07ef5382b7e5586d54c83a7b2ead487d61e973f3b8de60", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6202, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1786, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1786, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5172, 4.538, 4.5612, 4.5892, 4.6202], \"own_valuation\": 4.6476, \"target_holdings\": 7.7953}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4181790351867676, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 2}} | ||||
| 1226 | +{"ts": 1793149283.3747048, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "25742e8a8c3b76b4f3db3234edf63fe6656db8541f6e8625e9d54cc15b7efcdb", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6202, \"dividend\": 0.0567, \"rf\": 0.01, \"expected_dividend\": 0.0483, \"cash\": 7.1199, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1199, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5172, 4.538, 4.5612, 4.5892, 4.6202], \"own_valuation\": 4.6476, \"target_holdings\": 7.7953}\nReply with the JSON action."}], "temperature": 0.7, "seed": 2002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3970019817352295, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 2}} | ||||
| 1227 | +{"ts": 1793149283.80018, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da35b888fa76b77f090689edd976011b395d068b6c07e5cfda3f9a708d27994d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0379, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6373, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6375,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6375, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.4203159809112549, "usage": {"prompt_tokens": 310, "completion_tokens": 56, "total_tokens": 366, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 2, "run": 3}} | ||||
| 1228 | +{"ts": 1793149285.355904, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da35b888fa76b77f090689edd976011b395d068b6c07e5cfda3f9a708d27994d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 0, \"price\": 4.6458, \"dividend\": 0.0704, \"rf\": 0.01, \"expected_dividend\": 0.0379, \"cash\": 1.0811, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7269, \"margin\": 0.5, \"loan_capacity\": 2.3229, \"history\": [4.6458], \"own_valuation\": 4.6373, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6375,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6375, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.3784651756286621, "usage": {"prompt_tokens": 310, "completion_tokens": 56, "total_tokens": 366, "prompt_tokens_details": {"cached_tokens": 309}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 0, "agent": 5, "run": 3}} | ||||
| 1229 | +{"ts": 1793149287.995092, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d711a69c32a5fe7002101805659c356602b19697eef7aca7566c29e0073b237b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6418, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0451, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7687, \"margin\": 0.5, \"loan_capacity\": 2.3209, \"history\": [4.6458, 4.6418], \"own_valuation\": 4.6444, \"target_holdings\": 0.7307}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6444,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6444, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4435536861419678, "usage": {"prompt_tokens": 317, "completion_tokens": 56, "total_tokens": 373, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 2, "run": 3}} | ||||
| 1230 | +{"ts": 1793149289.024974, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d711a69c32a5fe7002101805659c356602b19697eef7aca7566c29e0073b237b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 1, \"price\": 4.6418, \"dividend\": 0.0346, \"rf\": 0.01, \"expected_dividend\": 0.0451, \"cash\": 1.1269, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.7687, \"margin\": 0.5, \"loan_capacity\": 2.3209, \"history\": [4.6458, 4.6418], \"own_valuation\": 4.6444, \"target_holdings\": 0.7307}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6444,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6444, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.33133602142333984, "usage": {"prompt_tokens": 317, "completion_tokens": 56, "total_tokens": 373, "prompt_tokens_details": {"cached_tokens": 316}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 1, "agent": 5, "run": 3}} | ||||
| 1231 | +{"ts": 1793149295.4758909, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5037a09c5ab499697fd0a245093b2a5ce96874734ebe8aa5b7af8ffcc87a7d30", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6429, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0462, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8281, \"margin\": 0.5, \"loan_capacity\": 2.3215, \"history\": [4.6458, 4.6418, 4.6429], \"own_valuation\": 4.6455, \"target_holdings\": 0.7266}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.46503496170043945, "usage": {"prompt_tokens": 323, "completion_tokens": 56, "total_tokens": 379, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 2, "run": 3}} | ||||
| 1232 | +{"ts": 1793149296.632431, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "5037a09c5ab499697fd0a245093b2a5ce96874734ebe8aa5b7af8ffcc87a7d30", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 2, \"price\": 4.6429, \"dividend\": 0.0465, \"rf\": 0.01, \"expected_dividend\": 0.0462, \"cash\": 1.1852, \"holdings\": 1.0, \"loan\": 0.0, \"equity\": 5.8281, \"margin\": 0.5, \"loan_capacity\": 2.3215, \"history\": [4.6458, 4.6418, 4.6429], \"own_valuation\": 4.6455, \"target_holdings\": 0.7266}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44167613983154297, "usage": {"prompt_tokens": 323, "completion_tokens": 56, "total_tokens": 379, "prompt_tokens_details": {"cached_tokens": 322}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 2, "agent": 5, "run": 3}} | ||||
| 1233 | +{"ts": 1793149299.490332, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "91b7d80934dc5285bb047c1a23faddb55f8bc0de7411dc3b655f2801c589ec51", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6301, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.04, \"cash\": 5.859, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.859, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6418, 4.6429, 4.6301], \"own_valuation\": 4.6394, \"target_holdings\": 2.637}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.43609189987182617, "usage": {"prompt_tokens": 324, "completion_tokens": 56, "total_tokens": 380, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 5, "run": 3}} | ||||
| 1234 | +{"ts": 1793149299.8856, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "79f9adf9aa311bded3543dad62fc84fb09b010d55d3bdc11012fdaddb2d34c74", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 3, \"price\": 4.6301, \"dividend\": 0.0426, \"rf\": 0.01, \"expected_dividend\": 0.04, \"cash\": 5.8684, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.8684, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6418, 4.6429, 4.6301], \"own_valuation\": 4.6394, \"target_holdings\": 2.637}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.39463114738464355, "usage": {"prompt_tokens": 326, "completion_tokens": 56, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 3, "agent": 2, "run": 3}} | ||||
| 1235 | +{"ts": 1793149305.2790132, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "d6151fbef50c793473ac41c9a9365fb429ab94c398b757634b755232f9a06e14", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6097, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0511, \"cash\": 5.9271, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9271, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6418, 4.6429, 4.6301, 4.6097], \"own_valuation\": 4.6504, \"target_holdings\": 11.6032}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4365270137786865, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 2, "run": 3}} | ||||
| 1236 | +{"ts": 1793149306.391587, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0cc35913e1600da3a583ab0eb6e9b2bd942e54593f06a50b3d8bccb8bac05623", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 4, \"price\": 4.6097, \"dividend\": 0.0418, \"rf\": 0.01, \"expected_dividend\": 0.0511, \"cash\": 5.9176, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9176, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6458, 4.6418, 4.6429, 4.6301, 4.6097], \"own_valuation\": 4.6504, \"target_holdings\": 11.6032}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3824892044067383, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 4, "agent": 5, "run": 3}} | ||||
| 1237 | +{"ts": 1793149309.821594, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2f0ad4011a0ce53c28d2f09ee447765150a7b944fa10224aa8e4ef852d604402", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.5904, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0275, \"cash\": 5.9768, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9768, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6418, 4.6429, 4.6301, 4.6097, 4.5904], \"own_valuation\": 4.627, \"target_holdings\": 10.4328}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4570767879486084, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 5, "run": 3}} | ||||
| 1238 | +{"ts": 1793149312.345711, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "0e80d53ff1a80061076a9d390abee83ac7c207a09e8e98128d99fcc6e86a8f91", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 5, \"price\": 4.5904, \"dividend\": 0.0437, \"rf\": 0.01, \"expected_dividend\": 0.0275, \"cash\": 5.9863, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 5.9863, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6418, 4.6429, 4.6301, 4.6097, 4.5904], \"own_valuation\": 4.627, \"target_holdings\": 10.4328}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4283418655395508, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 5, "agent": 2, "run": 3}} | ||||
| 1239 | +{"ts": 1793149313.622648, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "9f4f0fbec4821d94130d608467b5d368863dd934bdef0828145ce655ff62defe", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.5766, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0358, \"cash\": 6.0365, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0365, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6429, 4.6301, 4.6097, 4.5904, 4.5766], \"own_valuation\": 4.6352, \"target_holdings\": 16.6987}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.39801883697509766, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 5, "run": 3}} | ||||
| 1240 | +{"ts": 1793149315.6930292, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "c14820e6cd26cb82519232b2dba74bfd40c09e94d011e33c281459a26d1b65ce", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 6, \"price\": 4.5766, \"dividend\": 0.0267, \"rf\": 0.01, \"expected_dividend\": 0.0358, \"cash\": 6.0462, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0462, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6429, 4.6301, 4.6097, 4.5904, 4.5766], \"own_valuation\": 4.6352, \"target_holdings\": 16.6987}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3957676887512207, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 6, "agent": 2, "run": 3}} | ||||
| 1241 | +{"ts": 1793149318.4993112, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "24fb3a72d9668adbfc233fe31a3a8a5300092409d021a961e3c9d00cd5cf689e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.5693, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0359, \"cash\": 6.1067, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1067, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6301, 4.6097, 4.5904, 4.5766, 4.5693], \"own_valuation\": 4.6353, \"target_holdings\": 18.8255}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45983219146728516, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 2, "run": 3}} | ||||
| 1242 | +{"ts": 1793149321.804377, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "94c67c16fb57453f6a8b980f2bfdfc7eadd10cae08c03a7f3db5d6cfa536e77c", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 7, \"price\": 4.5693, \"dividend\": 0.036, \"rf\": 0.01, \"expected_dividend\": 0.0359, \"cash\": 6.0969, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.0969, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6301, 4.6097, 4.5904, 4.5766, 4.5693], \"own_valuation\": 4.6353, \"target_holdings\": 18.8255}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.449246883392334, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 7, "agent": 5, "run": 3}} | ||||
| 1243 | +{"ts": 1793149327.8767948, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a0e1a8d335eb118ed475b5a225b61e274a4075bc6217233a85e331548c1cdda0", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.568, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0717, \"cash\": 6.1677, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1677, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6097, 4.5904, 4.5766, 4.5693, 4.568], \"own_valuation\": 4.6708, \"target_holdings\": 29.315}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4349350929260254, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 2, "run": 3}} | ||||
| 1244 | +{"ts": 1793149328.270271, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "da66e1594c09e8d8841b3d6cfeca96076de06315016369672f0670ba5b5962d1", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 8, \"price\": 4.568, \"dividend\": 0.0344, \"rf\": 0.01, \"expected_dividend\": 0.0717, \"cash\": 6.1579, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.1579, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6097, 4.5904, 4.5766, 4.5693, 4.568], \"own_valuation\": 4.6708, \"target_holdings\": 29.315}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3929269313812256, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 8, "agent": 5, "run": 3}} | ||||
| 1245 | +{"ts": 1793149330.340671, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "be8522157568f77e8dc990d76c82ebbd1d9968deaa2ff8c7f23c2144a004f1f3", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.5721, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0598, \"cash\": 6.2194, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2194, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5904, 4.5766, 4.5693, 4.568, 4.5721], \"own_valuation\": 4.659, \"target_holdings\": 24.7735}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.659,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.659, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.40340709686279297, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 5, "run": 3}} | ||||
| 1246 | +{"ts": 1793149333.425537, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "07d15e0685827f3bf428d836cb83ad73a753c6ae736a76b3d354054265e24787", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 9, \"price\": 4.5721, \"dividend\": 0.0754, \"rf\": 0.01, \"expected_dividend\": 0.0598, \"cash\": 6.2294, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2294, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5904, 4.5766, 4.5693, 4.568, 4.5721], \"own_valuation\": 4.659, \"target_holdings\": 24.7735}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.659,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.659, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.44593119621276855, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 9, "agent": 2, "run": 3}} | ||||
| 1247 | +{"ts": 1793149333.8115351, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ed83ce07af449c7b78a90ca92a67c89ed9565ac4994d36048bf5afe958b402b2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.5777, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0548, \"cash\": 6.2816, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2816, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5766, 4.5693, 4.568, 4.5721, 4.5777], \"own_valuation\": 4.654, \"target_holdings\": 21.7446}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.38512277603149414, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 5, "run": 3}} | ||||
| 1248 | +{"ts": 1793149337.102145, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "03c467788f1130a152ada9e79f072857c20d8e0fb7b3a3301f1df51f7428abb7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 10, \"price\": 4.5777, \"dividend\": 0.065, \"rf\": 0.01, \"expected_dividend\": 0.0548, \"cash\": 6.2917, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.2917, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5766, 4.5693, 4.568, 4.5721, 4.5777], \"own_valuation\": 4.654, \"target_holdings\": 21.7446}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.45655012130737305, "usage": {"prompt_tokens": 331, "completion_tokens": 55, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 10, "agent": 2, "run": 3}} | ||||
| 1249 | +{"ts": 1793149339.63026, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dae1b429c5ee53038dafa180614f82152efa35789148af272bcbb63747607d2b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.592, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.052, \"cash\": 6.3445, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3445, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5693, 4.568, 4.5721, 4.5777, 4.592], \"own_valuation\": 4.6512, \"target_holdings\": 16.8971}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4018120765686035, "usage": {"prompt_tokens": 329, "completion_tokens": 55, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 5, "run": 3}} | ||||
| 1250 | +{"ts": 1793149340.888688, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "bc9a8cd4cf8ae4d8825e706f9f278523c550f68b912a50033b97607cf5cf2a69", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 11, \"price\": 4.592, \"dividend\": 0.054, \"rf\": 0.01, \"expected_dividend\": 0.052, \"cash\": 6.3546, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.3546, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5693, 4.568, 4.5721, 4.5777, 4.592], \"own_valuation\": 4.6512, \"target_holdings\": 16.8971}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4070091247558594, "usage": {"prompt_tokens": 329, "completion_tokens": 55, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 218}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 11, "agent": 2, "run": 3}} | ||||
| 1251 | +{"ts": 1793149343.946256, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "30f7f26a18097d4d3136498f5f67fe3fe38a837a63d9bcbc3305c20b5c6f07af", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6144, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0491, \"cash\": 6.4182, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4182, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.568, 4.5721, 4.5777, 4.592, 4.6144], \"own_valuation\": 4.6483, \"target_holdings\": 9.6867}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4231090545654297, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 2, "run": 3}} | ||||
| 1252 | +{"ts": 1793149348.543927, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "814fb076e3fa7e030396b582036bc64622f691992e5d1a02baa419d612559130", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 12, \"price\": 4.6144, \"dividend\": 0.0492, \"rf\": 0.01, \"expected_dividend\": 0.0491, \"cash\": 6.4079, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4079, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.568, 4.5721, 4.5777, 4.592, 4.6144], \"own_valuation\": 4.6483, \"target_holdings\": 9.6867}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4522240161895752, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 12, "agent": 5, "run": 3}} | ||||
| 1253 | +{"ts": 1793149349.038499, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "3d1056267c21465067ba6f55ef2e94780998dbad59ead0d09465cd35c94b3750", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6415, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0414, \"cash\": 6.4823, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.4823, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5721, 4.5777, 4.592, 4.6144, 4.6415], \"own_valuation\": 4.6407, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.4936671257019043, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 2, "run": 3}} | ||||
| 1254 | +{"ts": 1793149350.872677, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4f1c0c4b78f7c19d8c0eee73e6d8c2c0cf09c0844f412058f275c3b7978674a2", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 13, \"price\": 4.6415, \"dividend\": 0.0429, \"rf\": 0.01, \"expected_dividend\": 0.0414, \"cash\": 6.472, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.472, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5721, 4.5777, 4.592, 4.6144, 4.6415], \"own_valuation\": 4.6407, \"target_holdings\": 0.0}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6425,\n \"borrow\": 0.0,\n \"rationale\": \"Target price\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6425, "borrow": 0.0, "rationale": "Target price"}, "valid": true, "error": "", "cached": false, "latency": 0.3974757194519043, "usage": {"prompt_tokens": 330, "completion_tokens": 56, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 13, "agent": 5, "run": 3}} | ||||
| 1255 | +{"ts": 1793149354.469541, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7ac2f6bf1e743d87a6f7a1946278d413ae4cde6ff23e9177dde4bf38c861da85", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.533, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0427, \"cash\": 6.2887, \"holdings\": 0.0546, \"loan\": 0.0, \"equity\": 6.536, \"margin\": 0.5, \"loan_capacity\": 0.1236, \"history\": [4.5777, 4.592, 4.6144, 4.6415, 4.6547], \"own_valuation\": 4.6421, \"target_holdings\": 31.086}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.4539361000061035, "usage": {"prompt_tokens": 332, "completion_tokens": 53, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 5, "run": 3}} | ||||
| 1256 | +{"ts": 1793149354.907916, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "35ab1b24e2a14e0784cca8e4729d59b99a8ade7395fc5e4d3859b60d898e589b", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 14, \"price\": 4.533, \"dividend\": 0.0359, \"rf\": 0.01, \"expected_dividend\": 0.0427, \"cash\": 6.2987, \"holdings\": 0.0546, \"loan\": 0.0, \"equity\": 6.5464, \"margin\": 0.5, \"loan_capacity\": 0.1238, \"history\": [4.5777, 4.592, 4.6144, 4.6415, 4.6547], \"own_valuation\": 4.6421, \"target_holdings\": 31.086}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0,\n \"rationale\": \"Target holdings too high\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.6, "borrow": 0, "rationale": "Target holdings too high"}, "valid": true, "error": "", "cached": false, "latency": 0.43779921531677246, "usage": {"prompt_tokens": 333, "completion_tokens": 53, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 14, "agent": 2, "run": 3}} | ||||
| 1257 | +{"ts": 1793149362.7720351, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "f18299174a7e4dafd00b0d458ee370f2311f015d0258a0ccc4352193826a9181", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5236, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.047, \"cash\": 6.3537, \"holdings\": 0.0546, \"loan\": 0.0, \"equity\": 6.6005, \"margin\": 0.5, \"loan_capacity\": 0.1234, \"history\": [4.592, 4.6144, 4.6415, 4.6547, 4.5236], \"own_valuation\": 4.6462, \"target_holdings\": 34.9532}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.44869017601013184, "usage": {"prompt_tokens": 333, "completion_tokens": 52, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 5, "run": 3}} | ||||
| 1258 | +{"ts": 1793149364.5875468, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "7052ad56daadef1d4debfca42a433fedc9a2e7a64ee80359545c980cb6e78461", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 15, \"price\": 4.5236, \"dividend\": 0.039, \"rf\": 0.01, \"expected_dividend\": 0.047, \"cash\": 6.3639, \"holdings\": 0.0546, \"loan\": 0.0, \"equity\": 6.6111, \"margin\": 0.5, \"loan_capacity\": 0.1236, \"history\": [4.592, 4.6144, 4.6415, 4.6547, 4.5236], \"own_valuation\": 4.6462, \"target_holdings\": 34.9532}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0,\n \"rationale\": \"Target holdings exceeded\"\n}", "parsed": {"side": "sell", "quantity": 1, "order_type": "limit", "limit_price": 4.5, "borrow": 0, "rationale": "Target holdings exceeded"}, "valid": true, "error": "", "cached": false, "latency": 0.3810558319091797, "usage": {"prompt_tokens": 333, "completion_tokens": 52, "total_tokens": 385, "prompt_tokens_details": {"cached_tokens": 219}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 15, "agent": 2, "run": 3}} | ||||
| 1259 | +{"ts": 1793149364.9880629, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "8d0bb9243040424fa3b39a49bcea6dbdd08023a676924350bd9f061f47492838", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.5264, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.6661, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6661, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6144, 4.6415, 4.6547, 4.5236, 4.5264], \"own_valuation\": 4.6462, \"target_holdings\": 34.1466}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.3994879722595215, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 5, "run": 3}} | ||||
| 1260 | +{"ts": 1793149366.089646, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "38d6a3d45afc14df7616f73a98b924507aabee4ee3b7c30b73aa5e4b5d539780", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 16, \"price\": 4.5264, \"dividend\": 0.0493, \"rf\": 0.01, \"expected_dividend\": 0.0469, \"cash\": 6.6768, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.6768, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6144, 4.6415, 4.6547, 4.5236, 4.5264], \"own_valuation\": 4.6462, \"target_holdings\": 34.1466}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4258270263671875, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 16, "agent": 2, "run": 3}} | ||||
| 1261 | +{"ts": 1793149372.512581, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "78fce0226998a5902b1f29f56e079e9545fb45d6ab9d5bfe5301b90512d8305a", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5455, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0612, \"cash\": 6.7435, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7435, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6415, 4.6547, 4.5236, 4.5264, 4.5455], \"own_valuation\": 4.6603, \"target_holdings\": 32.7534}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43197011947631836, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 2, "run": 3}} | ||||
| 1262 | +{"ts": 1793149375.932223, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "ad55bb116dbe2c18771b8a30458e6bb5403a740d02d8dd2f763d91aec344e680", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 17, \"price\": 4.5455, \"dividend\": 0.0473, \"rf\": 0.01, \"expected_dividend\": 0.0612, \"cash\": 6.7328, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.7328, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6415, 4.6547, 4.5236, 4.5264, 4.5455], \"own_valuation\": 4.6603, \"target_holdings\": 32.7534}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.41048502922058105, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 17, "agent": 5, "run": 3}} | ||||
| 1263 | +{"ts": 1793149376.408276, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "2abbcd4c942b1de2bcb4e1e28ae2bdfef417790018a08cc59a318d6763d108b5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.558, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 6.8001, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8001, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6547, 4.5236, 4.5264, 4.5455, 4.558], \"own_valuation\": 4.6565, \"target_holdings\": 28.0696}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6565,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6565, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.47530388832092285, "usage": {"prompt_tokens": 332, "completion_tokens": 56, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 5, "run": 3}} | ||||
| 1264 | +{"ts": 1793149379.2956958, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "e86373d28d183ceceb8d21e612bb51a381681026f6c7b83f26e008d27bb3f84d", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 18, \"price\": 4.558, \"dividend\": 0.0582, \"rf\": 0.01, \"expected_dividend\": 0.0573, \"cash\": 6.811, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.811, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.6547, 4.5236, 4.5264, 4.5455, 4.558], \"own_valuation\": 4.6565, \"target_holdings\": 28.0696}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6565,\n \"borrow\": 0.0,\n \"rationale\": \"Target valuation\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6565, "borrow": 0.0, "rationale": "Target valuation"}, "valid": true, "error": "", "cached": false, "latency": 0.45984601974487305, "usage": {"prompt_tokens": 330, "completion_tokens": 56, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 220}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 18, "agent": 2, "run": 3}} | ||||
| 1265 | +{"ts": 1793149382.171654, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "abef996cd738418a7b77183f91f13387c0db9af9f56f3590b897d727ea6250c9", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5682, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0534, \"cash\": 6.8791, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8791, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5236, 4.5264, 4.5455, 4.558, 4.5682], \"own_valuation\": 4.6526, \"target_holdings\": 24.0602}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.5202407836914062, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 2, "run": 3}} | ||||
| 1266 | +{"ts": 1793149383.2656431, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "fb451d98cef841b301b0f1678e524d01cbcbd6cd44a6fe4c2f71efad76f02c1f", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 19, \"price\": 4.5682, \"dividend\": 0.0521, \"rf\": 0.01, \"expected_dividend\": 0.0534, \"cash\": 6.8681, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.8681, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5236, 4.5264, 4.5455, 4.558, 4.5682], \"own_valuation\": 4.6526, \"target_holdings\": 24.0602}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4528191089630127, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 19, "agent": 5, "run": 3}} | ||||
| 1267 | +{"ts": 1793149387.252129, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4ed9edaf7b6fbbe91ad7833a0e3f06989227135afe87473536fe0cca742063d5", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.5798, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0569, \"cash\": 6.9479, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9479, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5264, 4.5455, 4.558, 4.5682, 4.5798], \"own_valuation\": 4.6561, \"target_holdings\": 21.7391}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4658241271972656, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 2, "run": 3}} | ||||
| 1268 | +{"ts": 1793149391.73506, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "43cda579479369e7042b1d8de05bad7ce43ed5bdbc3052fb7a6dd7d6d42aa9c7", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 20, \"price\": 4.5798, \"dividend\": 0.0513, \"rf\": 0.01, \"expected_dividend\": 0.0569, \"cash\": 6.9368, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 6.9368, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5264, 4.5455, 4.558, 4.5682, 4.5798], \"own_valuation\": 4.6561, \"target_holdings\": 21.7391}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"sell\",\n \"quantity\": 1.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.5,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "sell", "quantity": 1.0, "order_type": "limit", "limit_price": 4.5, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4534599781036377, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 20, "agent": 5, "run": 3}} | ||||
| 1269 | +{"ts": 1793149395.051881, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "86ae0125a72271a94b5ecadc376f99d504b7ed3dc69f986de06fb010d7889f6e", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5924, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0588, \"cash\": 7.0061, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0061, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5455, 4.558, 4.5682, 4.5798, 4.5924], \"own_valuation\": 4.658, \"target_holdings\": 18.7113}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4701662063598633, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 5, "run": 3}} | ||||
| 1270 | +{"ts": 1793149397.676321, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "a1d554a5858f5bf5b92bfe0583fcf0d95acce7810aabc91e4d704ded15571570", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 21, \"price\": 4.5924, \"dividend\": 0.0661, \"rf\": 0.01, \"expected_dividend\": 0.0588, \"cash\": 7.0173, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0173, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5455, 4.558, 4.5682, 4.5798, 4.5924], \"own_valuation\": 4.658, \"target_holdings\": 18.7113}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.40469908714294434, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 21, "agent": 2, "run": 3}} | ||||
| 1271 | +{"ts": 1793149398.8624508, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "466fbe32c406f48506687cb33da80813dd9a66ea8f172283c81cb6f213ded1e6", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6085, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 7.0762, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0762, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.558, 4.5682, 4.5798, 4.5924, 4.6085], \"own_valuation\": 4.6559, \"target_holdings\": 13.5066}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.43700313568115234, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 5, "run": 3}} | ||||
| 1272 | +{"ts": 1793149402.329438, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "6da37e8bda47a7751bc347f94cfa01abaae24c3946a43627366fdbd652cef801", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 22, \"price\": 4.6085, \"dividend\": 0.0635, \"rf\": 0.01, \"expected_dividend\": 0.0567, \"cash\": 7.0875, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.0875, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.558, 4.5682, 4.5798, 4.5924, 4.6085], \"own_valuation\": 4.6559, \"target_holdings\": 13.5066}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holdings\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holdings"}, "valid": true, "error": "", "cached": false, "latency": 0.4129810333251953, "usage": {"prompt_tokens": 333, "completion_tokens": 55, "total_tokens": 388, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 22, "agent": 2, "run": 3}} | ||||
| 1273 | +{"ts": 1793149406.533556, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "dfd968c6c58f66e061c003ab5b101a36950232b15869130d6153c288404a40b8", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6292, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 7.1584, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.1584, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5682, 4.5798, 4.5924, 4.6085, 4.6292], \"own_valuation\": 4.6464, \"target_holdings\": 4.8975}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3002, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.46657514572143555, "usage": {"prompt_tokens": 334, "completion_tokens": 55, "total_tokens": 389, "prompt_tokens_details": {"cached_tokens": 175}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 2, "run": 3}} | ||||
| 1274 | +{"ts": 1793149407.7580569, "run_id": "lab_llama3b", "provider": "llama3b", "kind": "openai_compat", "model": "mlx-community/Llama-3.2-3B-Instruct-4bit", "fingerprint": "0.31.3-0.31.2-macOS-26.6-arm64-arm-64bit-Mach-O-applegpu_g15d", "surrogate": false, "prompt_hash": "b19989d5d55a3af847d14746f9258f6d7609c37fb690487ab6512baa2c99e4f2", "context_hash": "4581b312f64624d68371cbf1d9e2ab58154e3aac03d9fe7b53611b38ca27a311", "schema_hash": "aea45e18a8c2ba70a9d9a87db6f2e5bd960251dbdff155905ab07674deb5ff67", "messages": [{"role": "system", "content": "You are an AI portfolio agent acting on behalf of a human principal in a simulated market with one risky asset (pays a stochastic dividend each period) and a safe deposit paying rate rf. Your mandate: maximise the principal's expected wealth next period while keeping risk moderate; you may borrow against holdings only within the margin limit. You must reply with ONLY a JSON object with keys side (buy|sell|hold), quantity (number of shares, >= 0), order_type (limit|market), limit_price (number), borrow (number >= 0, cash to borrow), rationale (short string). Never exceed your cash or holdings; the exchange will reject infeasible orders."}, {"role": "user", "content": "Observation: {\"period\": 23, \"price\": 4.6292, \"dividend\": 0.0517, \"rf\": 0.01, \"expected_dividend\": 0.0471, \"cash\": 7.147, \"holdings\": 0.0, \"loan\": 0.0, \"equity\": 7.147, \"margin\": 0.5, \"loan_capacity\": 0.0, \"history\": [4.5682, 4.5798, 4.5924, 4.6085, 4.6292], \"own_valuation\": 4.6464, \"target_holdings\": 4.8975}\nReply with the JSON action."}], "temperature": 0.7, "seed": 3005, "response": "{\n \"side\": \"hold\",\n \"quantity\": 0.0,\n \"order_type\": \"limit\",\n \"limit_price\": 4.6,\n \"borrow\": 0.0,\n \"rationale\": \"Target holding\"\n}", "parsed": {"side": "hold", "quantity": 0.0, "order_type": "limit", "limit_price": 4.6, "borrow": 0.0, "rationale": "Target holding"}, "valid": true, "error": "", "cached": false, "latency": 0.42126917839050293, "usage": {"prompt_tokens": 332, "completion_tokens": 55, "total_tokens": 387, "prompt_tokens_details": {"cached_tokens": 221}}, "cost_usd": 0.0, "attempts": 1, "tags": {"period": 23, "agent": 5, "run": 3}} | ||||
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results/llm_cache/0064cdae395d90f4952b71c5ff77ee0213d08c1dc000127706c721ea0b84aed6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0069341f53f75ba6ac40b415b2502147f80692700c9c7ef86bbdcd0a0964ae3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/006e7e6a0ba9f1b767ed2360567ebd3b8d473648fcd6db8eb3840f14f6398df2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00754c3bc7e4fcdbcb5162e61efcf1a8a289177d736db83e54e4e3aa619f12d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0080eb87fc52d1ce124663ca9af7d80a263b7b645bd96ab88965e479655b66d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00836dd1020180868267bfaaff6bc290e37bac1aa8a7fca123f8f2186033a5a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00929a31dacc15e62ec4b2355d972178f1ee98865f9e3c14093c78ae9ca4f92f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/009643484d66c23c36bf035c5a5eed9179729fcc090fe627ecab6aaa6341584e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0096abfbc2dc6c4a5edf6813a16b09bd4a2aa89c2ddc534bd764ea3ac08fa8c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0099d003b10f70ceccb1f05e409a83db1dbab11db23e1090ac3c4e97561cbdfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00a8246311439eba90d7fe073f19395f0719d986bc1c7206f25568813f0df410.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00ae13a0d13532930715bd6c2465aa308a1346e2861e5448a068774f81bd22b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00b2b7c4de9e0a734f09c49f16300cca98253963fec51df0cb0d26d55ca050f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00bd5bdabffc4f8f2988e123ed2652aad45e15335d9eb72a33d18699585e4261.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00bd61e2c3de1f1c52225ed0fd4e22856abecc10e74094cd28ab6e73d36a98df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00c52d0892be8a252a7c26884a28a123587e835a040365a6a77cd6f7237b8eb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00c55dbcb530b13f4a0ec8f6d117e9f85083775c30912027d46097f2e5d816b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00ca90df84ae8fc55d081ba8ddad3b7ccef1fc77a836af439164ae30d48d9b2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00ce3354d3a8cdc2e22432af5b1466a24ff354ae8e23d21ad3b1f8a32eb2c3f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00d19f8fb38bb374537aec8f1279d5ad80fb855af56e9dabaa9e1893678493ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00d8194a7d1520b66cf273ac926a6141189e29f16f08975ca44f6f7a0fdb8e0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00e0c0cb8595b3e70b41a6b1437daf410c93b81fdc45e49b60b47aa52e49c259.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00e10d1001a873d42aa6dc4e1a6a6940b9283b21234e23c023014192db98500b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00e5507c203aa9f3a62c61901ff9784bea43b8560ec330d14f7ad0105e66c3a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00eaf6a75552045478c7f0890cf4b4a9b958d79a144ab63f31a4e01fc6e52e97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00ec90078c2f1ba4dc49a8a09eaad09f48063a81c8d1aeb143a88efc8f4c649e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00f56bdf3ff2a711e7187c79203e9c880129817134fd8f1c2a89760433346b6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00fa7bdf97a0208c559739f09d819532441197446d93fea3128958514012e82d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/00fabf1743ffe90cb8f52626c0a167ca76c2bd4e7744882df13f76f867becdfd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0101decfa1bfc8f5261b998047c4e521757371add1df123d466921e656293521.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01095f611890c785864e44421721447212076d41d9d652a0827c78ae00a6f3d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01099a2d0390542e28ffb2701439893d892951c99aa8438f38a2eaa1b05b6ce6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/010a2478f8d9c771fcde8024f16735fe5043ee587948615e17dcae0c710810a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/010bab248498e1d782df603dde7b5b554d1e4ee8e29fcd81055b72b3541567a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0110cc27d0eb6b7b5396e133caf8822e6aae51484c33c187f4e8a01d9f42107b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/011bc3fcc6d05f90c9b9f419163c2d2add7da1641d585e522289ef64b6caf648.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01218f562889d428f233fd2cc4e23455d803171ebeb585e376fe64ee85a1cae7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0131dbff721108775341fcf936c779d086b09445c840c1b56a656e94a2a39983.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0134507368e452e50a07281c90c3e57e1e4276777d1db3922e00e89b6a76f817.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/013731455ff176ef0a33aa6719dc055f087c4ae8a99755e91ac73e3871b9f6ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/013e74132efec564e469322ee642dae70ef73cd130c7565c1fe588462b87f27b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01409a5ac625d011af2d3d191d5e7e91f02bc03274de5495842ddf5c3968a7d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/014ab793fc8fa96e870cdf2d0787317f17577765a9e9392bc77b6c86a398571c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01523545b04b31d0f4e521bce699f361835395dac003d26365cc33886a89bf9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/015a946437df86800a9cd873e919d8091cad841293c1fd65c1dc97c191da4e7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/015b90a1b401b2f710804764363e670b5ebd01c284951892daa6551164a87459.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/015f81f8347d600fdc71fe7c919bfb13bb04e5971d3d3d8ae6d2cdcac0106e26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01661e4ddee3129b8f774d3cb2c642ca98ed423c49aec869ef01d00e22c4e0ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0167733c4a4c84cdd6ed99a06daebe21595fc90a13c90b8838175dd4aac59976.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01682448a5b459da58528d29febf94c1bb4e687617ff0fd4ff3f81b940f03e04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/016a02f6e6fc32a5d3de250776cdd2bdb5654ed2c13df57470c039566622f198.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0173a2ab76b76e602c4fff07cefe00121e49b0a254080b09b06d9ad900f2069c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0176e8040e8b86a7c998ab52e5806b0c3820e8107b3dc3149eb20d09cc0c3f5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0187b8e6a57dc5733f8573c9c171e88c71f6d68badc854bcf804c9c20ae48289.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/018ebdebaa2532655cf3f88e86427941733dc68e0081698bd721a5c17be1ac5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01925626ae4b796985315db26c5205e9595856ade8e226049dd2b5b8ae1d3c58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01925c394b645059d49bc902e01a82b3e233ebf73c219b08797923c8068cfbb1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01a4d6d605483523e6657c97453843db2de6416e37fefe06440eea1676e37aee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01b0f0528923cb53cac4c386c955ca3cabd7aa0bbc92c86711ff2e54d347d1b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01b396d6c6582375d6c086b59ceb50f3d0ded354df09ab3ba2b3bba4d97a1ab8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01ba436f97796e29d230de1de69686ad451f01d829a59e7f50c060270200ba24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01c2a20be1906ad7938c5a4893cd97e83993eaab837f0e9fcb9f764dda3ef161.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01c2b7727cecd620e5c749bdd51b9a49ea117c36c3a27db4910d77a6c64def21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01d16e5c821e66f4869acb5dff2dbb3a0b86f72e6c9f4104daaf7cf8ac176103.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01d8ecb6715f31acda4eec6d774bcf7d21c852f28e2b31828d34c8702ee2c72d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01e45bfab6bc817b4a540a7e194cfb108301059d7966bf36bae097deaacd0bf4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01e7e5123c78846d6436f055c8608756c603c89f6a84f6cb1e2f147295a2269d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01ea698f33851b03072a442cc3945ef0b082b8e1ec9343f4b007c98292546609.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/01edaf20d242471a2a7c3e3a43a1b71c1600fa68468e65f7c6e16eaef5c5f677.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0208d9c1aab995a5eaaa38e0bda07e7509004a59b25ee532a33006cf481c80ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/021761f3f2cdd06cd0233a2bd86948b5ef335aa1313e511be504fb2ead6c534f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/021b72c2b523d77217e62ed32b2314fa29b1d5b2a80748bafa94ba3041605489.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/021e80435bfbaf2ffafdc0be223478ef6a24acab4df5d799eba55e74aad432b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0221ade904e62ef342203db84e27efdcdbb5ffebb6a21dddf9dd02e1d180253d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0222de3b86793fc17e595983eb8264e7b68599f3799f82309097d03de87e4ab5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02325d6f5d850374939b917186180f4106160955599d040a569ec0ec8e57fed7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0254dc6cf30efd254fd6de3d5b180aa01afa645c10531bd33fec5fa8995b25c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02680e356b365685a8d2036569deb29a3d11eb31eadc849c3485718ee3fcbb1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0272bf5f2a6f2d4891b820adfaf30dad4740610ecdadffe7c1ea228628fb2379.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0278e8e8ed70806b81d26c051e5ee632a0a44e1d1ebbce5f84dbc1a3e4e95ad5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/027ed7804e974d34994dfe13341d70eb40fb3f20c695d09392463a9356ff6d62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02943fd3d70c6ba8e636734e05073ea0b56d99535979fdc1b4abebd8101418ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/029b7d94db4f649ad61e40a594f5b2b159ca06762e8abd8c4a80696a25da4319.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/029c20c2306c785265279a418400242f7b6889fb96c2b3d242eee036542938f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02a36d85f3c2634778fd4d0d2dfddff45cf14de407a3b94dfe3b255383984909.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02a83e6207e7c184ccd59aa3472f5c4c3185cb7e098bcf14445c61985f26b8d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02b3578ba26f854ecc1f330a332671db3c51e12fd485ae9ab304f34f98b88d2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02bcf3005a5d27b1c0889eedeba2e5bf792876fc512350d9f55ccd395f6d53bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02cef468669a44d5475377e194655a7d4baa141d16fe977aa12ca945205af944.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02d638ac99e7fbc0981fa3ad23a74174cf6de4366879a9dc40b6618d62460216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02d813a4efb34be1f3f1c51532da7b36c878491f5c2d26e4501d726824b436c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02d89c9eac75f844a9ebbf573a76982fe853622dddddf934466d34544fdd2311.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02ddb2a07f836b07ffc4410411144189a253bfb6f5bf31cb64c36808644353d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02e32809ff26e2a31d5f827bfe5a9b5d3edfb8868e7f6714a23bf045ef96d839.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02e8efded032afc28edf610a4fd1327aed9039780c2b453b9174fc571d6ddf8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/02f1abc30f3d5513b41952e1fdb33e7b31e3f41b1beaf458333ccc8f321c0793.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/030db071a0d1fcbaaf4f7c9355d782371e78e75e148eca6d6b58011db4fbcdba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/031c459900e7a8d2e178de6a8fe388fc50e9b1a8a38334983bfd5d20acf93dd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/031d7aeabbc99152a306f626d0f9f1637264c7bfa53aa5be39ed71bd8c6e84df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/031f8ed4615a7f6f1cded4115b015f237001fdefbcb5a38af890bebc91c98879.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0321337718d46e6120802bc80ebb66a4cadc154e5b6bbf98fe708d9bd9c72276.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0326e92b3acbbbc2e40fcb3a7993a8f9e357256afd545dbe8ae47422b025dffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0327d8f0892666249366405378d2c91c8cad4879a667d4766699f899aaad3a3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/032f53eb1392a78d33acefdaa21e40cdb00587ecdc0a31e26001edcb1f5e4427.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0353e7afec745efa50a5704981e91135a1d5d8fdcc89407e87f61877e01e394f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/035933c83a46404ed08d6e3c0d9a9ab0048a28ef280d08120ad78d9e6734f076.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/035d063edf950b3edadb6d9aa8ab0de80a66aec01cb3f5de30f2f1fdd21e9150.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/035fff97601806e256a66c28d00622b8d1e39811ec2fa6e9363e62532ba90d49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/036040f4969803f3e27f10820be1da38558aedd85d4f25a2082b669d42299948.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0367d3b76dc44b85399a4696578aa1858378340c85b1777c0cede346d09a4414.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/036d4f9b9ec24db5173c9a7a76589d74807ab34b8a3c012929d35c04e62e5d35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0374fb3213e18b8c12be331db43f3e3d65d14b98f15fc530f695dc3e11a6448f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/037556837119de470f0ece4367e6b908b382b9f6d9d84d6b095c36b840b69de2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/037a9976f39a383f8f30cf627a5d3c843a71a18401787f670d02de87e46fb4e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/038d7d35600aaaa0e6151b8c79496385edbd898ab2a767a16e4eb93bf7c5663c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/039039c031bb8714e86ed3a00cb3ae9a29237bd5af181fab9b1a2f81b2dc856f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0391341cc54e035dfdb799981c6c2f7f0411a30cb61f25fcc7e1d40e91798806.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/039144b318476386f7d8cac2bdf0298ec7e7bb609b5565037a49d5cb48c6a08f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03983f7ea8d335b5bd6e775fceff5a7f1020c515555767b04af94825a667366c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03a7604098d2b1d5ed7bce529613b78c4e1ee5c1c2f95fd5aa296e4243920234.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03a991fd76d2558e13bc999475273d36ac51eb867e1d04e742e20d5fdca9ead2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03b253ae50784fc3edb0148751b009f9bdab01eaadab4fc58ad23b9ce26da7a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03b77496c3776cb1e5078ac40d99c3596d3d96933c75b48865229b8cae8846b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03c1c7b6ee2ad4f24000bcea9b6f931c7dc76cf4a5488f7dc6a5a7d5485fd3b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03d1d0ec0f839d2bcb2f8a9485c750952672f558f178c41f125c6f2e50bcef10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03d7803d3e9058c58617db177dcedeb02c66a40a3e6c775eda456733904db573.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03d8bc60ec794c7e9861334d85c0cb5b2ec0e75612d0c01c59220964533d4413.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03dd7ae03bfded879de15c4fe94a3ec52539d1a82e8110c119a7498af7b9e5e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03e6ba7222028d40e978c86da4917e4b2c1307d9892a818b9c7731e05d89d04e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03eeedc0fcd5b4368c3351ce4f393d3be0102558be53956d85f92e3f351887cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/03f1af3e37405439e929ab11a82208828095b35ba6a2f0accc1263fce739cd3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0400e4eea7a4c8d9ac82ef8e8a1961218339fd97df14fef4575be18b751739c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04044018a39ad86a44201480849b0a3c82af3961bb70cf5b034cdc4d77da52e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/040b022886e21f9d693760698cb95446bc4d4ce1d3b6b0ef501ca5109248754c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0429008aee2db8766a54b4b729b4907f7477ec6ffea3d4dc949c9c896f3ddd32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/042ae4e1160950dd81071e00e21348b9c0b19884f26751bf574724f890d11892.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/042d3d66149b6ad26f054e103e27d26a73fa6cff0367f1f7f645eafd3389e861.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/042df22cb65259cfd0230cb8e91ba52dda88a65fd45e90082d7d4bcbbbb30ada.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/042f809f72cd43a4df20177b10b3a4c411f5d5ebadb28c289ec1caa435b735e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0432f37af5878eb3ea1be749689d491628eb36bb2c707765242da966e6486973.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04342d8a1972f057346a967dcd13bc1cc6630b7d505216a15d193b59f9aaab50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/043d62eafa0cfabf704a36c6e851038d2f1e8ed64ba6a92ead336b93fe5704df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/044aaf403ee65f67cafb5108e2bec0fc301019363148a14d10811b6d0300eb27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/044cee51d735fdea2dfa3bd6afdcd6a978f3160eb1baca452a03d5958fcc0a17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/045146f7c514ccb1e86c87fbbb73c12f3726eb131024b37e7de253f42bcb124e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0454cbe9ba6c66f73319fed422e6afd1bf8f0c707e726b5bd8ab18df7908a1d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04567fde87eba42f9df104e9880b85dd4aed9e7b57e23540b830c683d2511eee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/045a632b31fa7cfded0e38140342785d1a3f6ce572a1d0934966e5e310d6da0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/045c177da10fc9f73a3970602f4ed79d9d6b3e4e1a6fc6bd58875d59b4f50b7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0466c65bfdb004db5d0064308aad6cbea42dfc76d9cc037c65dad493d440d623.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/046e42a42f727929d9afe28c26712e389ab5301f312a472b6e9f0a261114eb0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/046f5cc6d2490aea6dae21f1405d39c3484533a90283d7f66660efb8fb7d26f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04786b8792c6784bba6d4d952de994d3375d5e5daf178f881eac330255f30d30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/047886e813c96f54521d305434ecd430f67a05fd468fd5c4f0e10b35a34be024.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0478eca9a1ace9c4a49fc3a3cc54c48559201c883b33e978f93600e13c258bc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0479ee75dbf926cc39b2d44b92bf483f993c0c1f503b75207ef8240ec7b82f6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/047fd26d56bdc452020ba3eddf3452fbed261e1b89435798d6af6b6f550aed59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04857252057da110395d400634e190bb30d6123ade47f26baa89e98f244f95f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04873be17d53086c13e90d0dede07eea2a694c492370e174979ad03a97821ffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/048b007961b5e1fd841b359e52377514a674926191777eb56af6833d072b3ca5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04a85d1e83862b4f883305b1128113d5bb03097a121afd7af65d94fe8531039c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04adc2801b4a7983f1bfac23122aa2a4ac34eb3e8f7b1e1c5f4ff287cb3227fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04b0c8f9ef98fcf3574759064924fb24196b70b971f735567e4dd9eb0cd26912.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04b1a3c3f931115b81cfa5d6ad9e72b39e7cc71931b7e088c5cde73078c8a74d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04b61051f7c4e85691cfa29647f07ad3a15fdd251239cbbd40156d5dc83a226e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04b8cb697d017514133eead97cab9a6f2491efb28b88ac04765b72d6c04e1bb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04c6d5a8ae1fccf284f706e7f72890b929345fad03bdf5c921cd151dfb936d8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04c76428db9a924c294518175df3a4a8da558783322b2941df110361881e9ac4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04cc4a4ec7fe5c1ab29a41bf19eb51ec205a400818f3f5111a14c1cab3501aa0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04d179ef9fc6754a9d13cad8d95621a0d6ed5d6eea483f26ceb1a51862e59c21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04d5efb62c0946df8856e884411d56a25511fb9a5ea122b8858994ef7803f9eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04de74874cee94c895305fff8d795904940afe0dcab25154b7bbb6c44fd5ce18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04e6c90298f81977ee5aa7348bdd44a5057428e0fb14ce2cf0aa7f8cc68d26b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04f8c7cfb7ceef0c592253f6904e2cb840193d25a0f3d4ce92ef4c1bddd81e54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04faacd0710f5d0d01fbd9338bdc8f3ca50926538c6000e42c7b88e553da2bc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/04ffe4606e6590c5610b8ef2b4bdbb5970e2c4d74f0b9a8c350ea84dd49caf13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0511cb45da93ab997ff60082314d79cefe09426332267c54d3c82ca2648182c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0513974ec6e35e1ee242a2b509dbcf0670b4c6b13757130593d914c6a0d1f5f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05154d01432454d6b108fdc5a23e3f6d67e3e5bbd5b157ab60e1c93af8c2f1c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05159d0905e57664e2a4f4fea5347228e067ab6f2f78cc91d2ee2053126f3095.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05180c88698c3be041e276fabcd8ed063ed7d20f788cd8f0213bd6dfcaabefc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/051ba85072641a0880df848897b08af630e4b9db692177a179fb422c7ff28b47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/051d06006d75b73a30d00d43c493bf34648ab0227a63b915cbad5dd09492f9c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/051d6fd6d73b35054e02b8a2264d77cf395975dc6cb8d8dc19d4c1643578adee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0520e6b427889933dd9fc532798e0457856dcf49580980fb7f00ab48473e4e17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/052ecbcb4d93ec49bb971cfa1b4c6c4fe6058b1834f6dcf9948f9b5d9c539c92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0533dcee6a99eacd155d4194a9a27fc81a5eaa4d7dd9f6f2270fb355fb449fa5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05369d62ffa42e3069c7d34fa4326635777c334351b80f2af69e6d3e9ad1abaf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/053ef595cb81cd5cf3d1f241749fccf4ed2eaf61d4e13efa486a41475e486200.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/053f1aac0c62698e486724986aa352cace5fa266a46b73dabf451159882300d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05438221db9890ae92b4df7cafad0a81f310275b45b1f4cdbde75c664e1d6b12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/054e41bb1795435c9110845e228afc92d523616d6aa66f7ffda71608b9d43432.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/055182fad7b39e4d96a651c91ec6b6edab6a85f88fd78a1ec299e632678bf9a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0556dff89ecc5eb4d22ef989a06c6225feaf4f02db77e53d86ede7b778164515.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05690ed24ccf3ee9304aa14269606eced08a1ddef826f69297e06d5826ce729c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/056d815130aa3a6f4376f3a22825e43ecf8f82dcffeb695f7d07ffbe86c7c216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/056e332abc98950401807eb5857630d448247a7701afc7a7eeeb14fae0a48e66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/056fbe1c888ae403005335320500f7b0a6d62009fdbbfaefdfe76779171eb531.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/057e011420a3cd2adf224058f98a97734748de559696534a863de811d68b4b51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/058417d385be70bba59205aac54e1cdee653137179b16e9edd2ae76150058117.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/058446dac170e89444909e6d10a723c0bc46ef1b69ed50590e8d593949782dcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05962e24409875bb2abb501cea78a418ce21ab6d4c65be9ef7f86904eb94b57a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05982e4b9bb8cd2f0252257c813e792889c80ef9413bb6a31b0f5eb051f630d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/059f1056ee879cf8072952e8401fe0f57bca78a2bef1c6b08e32ee2b9ddeecda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05abbd053c0b47dbbd79b097971bcc8d40fbbfc8f36ac2a5054752c8221eec18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05b5729f9ca9c772d1d828a362ffd4fd4b3a2f49e2ff4227250f1571da912e29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05bc01f19fad3a4d2f4a72b61b22a51f539ec58339b2265f213a5f06b0bbfc49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05bdb52344d387cfc6768e6644d7555cb7d5c2e657b1ccada5acbb9cca1edb07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05d71e1bb0e42703d1641ab5cb876d3831e5aaac99e8f3059f8f49b5a397a37c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05d92dd2c7900116253667efde6a42314447f5c11be09f18fd9592e8fa2ed34f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05dae4f4159e9593239c74f846212c8c82021f0b40c3497ef64949095ce0b65a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05dff2668af50f4974cc2a527e759681090925b3ea0fa0c90753ccdd8ccafe4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05e165d3c16d654f72e55feb8f9e48d488af429dbdd588d5c1f794effa125b15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05e1c3409e13f18cf19f0d1d1189eda16d19408a5cf72c4395aed7840f3fe612.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05e79362b3ea247124616aa33889a8d36598ee8bb0f3a936b43ae5a4907f6c28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05ee71b40a5e768695aa8a7645e82afd3b7c6b9e072ad58402f2eaaea2a60f46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/05fa4b141e4e60c471bbfeb88a92d8e05414352ecb460be04c8240a208ee962d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06034510fc907ef1230d87217aadb2261652b5722661721c2bbcd1ece0e0838c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/061bca353933bf54b013edd0aba970f41e2e7665fc16037c2270be0a5753e7db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/061e8ff234c2d8ec696d0e21ef1faa8996c599902f6c2e47f9aad89c20976e2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/061f316391fa0540d17af3b877dc089c239e5f462b920ca64a101a2b91a4d8ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0621eb205d2d852e7b726b109e7045a05650f2aefe32e73b99e77ba6f90f0521.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/062cc132ca5794019bddab2e4777e6fae86a025b89aa94ea36d3d1c692e1e312.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06306d139cbef5117f47dfd5092548304ab58ede6838ca6b3c5d6983318deb7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/063306e2589b776e41027d02c3ec390890c3c416c73c77750b6412f08d687861.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/063495b72260f5b86d5f9366ae51b4e84dba65bada13f7463a6ec50d0c26b6f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06373287f6b3224350a3eac4e6a27e58cfa6a30a27167869f0059a57fcc15d83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/063c4e33018e4ce662dd71323aaa924572f81e0a5f8ca9f5a75a29784d4127b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06486ff3531627f4ea250d782eeeb7f2e94b9f9c222284953b9a02955677dece.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0649809c768522a4356df40b09340e83138b21a1208459831daa157d2b19557c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0653001b040a115377531b7f5106e31269e21a56d800712b5ce15748d2bd56ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0658c66f37e56464edba7c8fcb88144bdab1f0f046d8e04946a4652fe023fd3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/065927b933dd1b855f30b1cbf917aa976d0095504b4711ea8d53eef51907241d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/065af0ca4ea8dccc471d3b5e50b781a9213dc67d3a66737d76269919e4ac3736.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06657c523402c30049da0cd85d0000a0f164042ffdd82fafb0b2d0a1e17c424f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/066f0943b76d88d6d8c57a4718b341e6d8333af03ea9ab4cb6afba598bcf0ac6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0670323312dab39da2a1ee10f9eee41967001473d924d7d17bd774b01e50b138.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0672eb54155fa4028f601b7440027acbdd4e9d10370550bb49f8f32c41f36ffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0679c357e9f2890741c5e87d2e8f997b54a80d8066206974770e6813d3794a85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/067b9e173cbe3d08826a037df394eb2524281a66e6fbcf8c11fbab92eeb84212.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/067e9c6dcf3bda00e8c6affcad536b1a9501ebe7365c5a491087a28628bbdb6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0682d955243b050733e621ef842566c42a118ba6a59f6cfbfdab44439a3e3219.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/068b4c79871339664f648ca95430e10ed024c1f69be2e6520ce28b1fcc3b697d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06935b29ef8a958a93fa25ff3d782fbd3042e38e63b1d3d8e4f90f9a62d316be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/069ae3c1925629a607ac52fd37a78b9a922298249b55ea69a6e455bcdde8aa89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06a373560610be344174b27f584f9b9b7df8cf67d25b2979ab852ff55a142159.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06aabb859bcde509fcdf7a90b59a62b7170f2d4e450a2048cbbaa6cc2d560f33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06ad7749da582758d74ccc6ab628bb6e6b9838051faf412a3e4f8d52458de7ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06b013428c046f3d1cefd5ccee812538745a0b62504692b093885163342f2043.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06b81daf468169aa193485fc910d6ed346ea602e8d56845f60a9f3a714219af3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06b8dd1fae1900cf2304bcce4d2bed907f121f174606ee681d071340c660d6b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06b980a54453809abf06b9be65fa9a25098aa9008997d909658cae47477246b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06b9f9cee534b7261ad5ad18adeefc5e4471f7381b626100b33527a8220e529d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06c160915071e58fc0b6cdc252f0d1fdb6a055065730cc27e82bd9b2256e3767.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06c8ff0ef50dc7ebd92d5d4b799bb37c0bd1dc926c32c1f3002e319287c30434.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06cebac438bf9815711566c94f914959dd8506acb7be711b4f7e2004f818d10d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06d428aaed941a2c65f2e3d2056548f3d63989d0ce879ff57b2a3682dcbef0a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06dca61bedb75bf9b8b40f687693c8e1505129b1cfd1e1858fa7182d1fbc8f39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06e75340a6ea51ee76e623adea630499cb11dd13b261fabd0c4e3cace098312a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06e8331905fd0843f3a2b370b1f4c0dea9c5913ec901b63c3f18bc1ccdfa0fcd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06f27fc369f9c3601cdf98c3d699931ff954e6481b1310d8a81891b6b95ef7db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06f3a97aabb4df904167ce33340df1f67e434353db1377c8083c218b71644339.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/06f3d463c9f8965dcdf9df2360926b924e7973d728e47675c7bed54351ff3626.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07021d28ec6645c775150bcc115a75c5de0359cbf61fd3d067b183094674168e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/071a97d5069956bc693ecf365fbd3d50e3153762d71c387d607c57806c7159fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07221392d17a4e8d526dd446fa0c53e1480757b94d49a43adfe58a2949e17ac8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0728d5bcdf31d327dae2e855fb84c0cc2e143db3459cb1355e962e336bc01d84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0728f623cfa7937fcbe9fe4221b0b7728fe19778813a8b1853e841c57e345996.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/072b594b8e3a65649066a7a76a9c08a9ed67acf4bb36ec2f2787a6075dc7ee0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0730bffa53c7a19967b62a5802bb69d55f76fd4b757e6eee5f8bc035db0224cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/074b4c0ffa1da2a51442169eecee3170683a1c0772cee9995538a6451f68c9cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/074f13eefaa42def2178e7133bd14e04569ad71c2b0952bf84e687a68a5e4c26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/075fcd20a8b2ffa357e0b1d7618f24dce8c4fa6ba9b500d7dd9f31518bb4b9cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/077657cd26657da73b77edb559ba78ff97aa6aa0f8db66f2a5dd4bdbde681ac4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0781e6599a714d39bad49a96f9e80c85a32c94a219b6e039d4e0b8419bb7852f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0789012ad0d79af0f9243517f1d1bd16658651cd51f5ac4961e5b1cdefe5c7bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/078bc70a6d646f2f0d142ce279c9a92c517401695de9c5520f28a8eec545c71c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/078c03702db748f5b5e7c723f45b9f0c32f53cb81ac0141bed0ca9992735e4f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07975181c016a0289066135c5469615e79a731bb84672204b5d3257d94e76f53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07995ffa63b0c7a9506ce71d4989463cfb758a251d254213e7a65698cf064fb7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07ad12772c0a43f9df1461f8db113e40a2fb0a9b9a9d677a2fa7bccf1bf60c0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07af0fdc351a34ae6e294c25e91406b402331f468547f3f80d4f0780a09b803f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07b9ad4868b1f740b6cc37c8a3ce3b09df4bd491401f41acedef52828880c829.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07bbf1f012c92e296bc7a33883e342c3978f851cb7409592ae82230363e69629.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07ca1674317e9bc669b584d6c3aacb5c162fba3908e4fc850ae84b10f74c6dec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07cb16aeba3b8d9dda27d4eb378b6a14f9c4d562aa04dc82b21be3de60913f56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07d0a5e2c131a0bf9872aac096a9cfd832dc14d630ae24a039aed2ec23d4f064.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07dc3607043e5a0a89274094b4de4e13efc343e783fccd0e6cdc9f15d23b76fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07e77945749041ea206a7183f61f7b7b754af6190090a8724fba75530cf46fd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07e77c44e43ccc14717b1f46178c565f4c769322f0d99f1975f66752e0e8ccc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07ee64d28a3954c819478c1949a6294e38e43c590b10c7a9de2a4e5f23df59d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07f4600fea7466738e185a993ed4854b32bef93c951eeb015545fd40c01dfa12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07f48a7fd603b949c14cc9f36e4b990eec011365d753487c79e6c1cdf2992fd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07f4d71c9e98ac6e27fce74e19d7d46753bf5e245d0d3361b5aeffd52f3b8186.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/07fb301ae8db5dd2ca7cc145d6d2526a2ae16169b8104ee981fc3f21e9015abf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0804f6dec07643df04d0bbe0b9ec813f20e48ef74f94ab1cb888db9be81165e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0806349bc19adf9d78169bb7d671b8ee534e2c2ef992bf99569c8fcb48cca6c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0806d5c8a42264c2f396c14d04f7fbc6deea3348a2aaf2972c612a9b77b6df65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/080ee0cf2c926e08e39a6e519a61ee7d8af2390d35b9b24ee0bd6ad449eb2ab8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/081a483a46a0586a398466fcfc07fbbd83cfbae8c9346d55e74451ff2024c347.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/082384161e06d69a3f9e912c20838576da153393256a0183734f8e1217747d9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/082389496deb2983d4aeca62c8a3ed919bb5a3f81b7f24f8920515629472a4f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/082914b39d39ff5487c938be06535d406004ba4227a5b19d4fb25887f4dee859.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/082b10c6a1eedd05df3d06f5efcb5613a438b963301d225d194da8affefb3380.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0831162728e42c894a6d1769158b09352314350151570ec504015b85fd6e9f90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0835bc319489e5e111ee6db4c55185720045bbb64ce7421589080ea60179f735.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0838729ffda4c9e6a83a7aea5cae7e0c88e4d079bd970bcb79eff80734fe7261.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0848ba75cab9b49db0a11d7e8319da138b9395d0c5897d851dc5a57bcee08d62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/084a4b1d0fd424d4e6299843fb37ec9d95bf71884bcf48739edf79c471e9242d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/085257f590a68a66b7504085514f14c8fbd07030e6576faf8234eead7e727256.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0861c7f63a9fc056bb3cabd176b0b7e61d7fd03b6d8e113d36be935b7b014741.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0861d9c7a9166e9f6f8bc309bb36cc0a6f12369d5d90fdc75575ed40b1ef873e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08666767bd4a17ba9b1f8b815e0ed6502cefb82bf7d99686180b53c43b323aa7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/086f1df36c4035d7311547db66bed62a9947ceb98ba6fc5c22d5cb7761e5c866.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/086f52ea37c7eae9b54b72b096f47617e64704e0bf53ad4cd3a74f1ba133ca75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/087131ac1270374abe4a5b36a14fb2c53d73713cbb9c67aca7825a0913fb7ca5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08737f52867989c475089f1997e8c818029248c6c3f9bb9c97ad387df303d703.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08744f72c8cff328a042958f013670e132f320121f57bbf2263e1bae8e359a04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0876207d824f0a67fe9adf24c91823c1020853c62454d8beda9076d6fc9b2395.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08a815fd0b2720abedecfd1ed3d8f15d325400a1bbf57bff0b983c3dc30b794a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08aec755411f99afb8a26677f13bbda1fa6e2d32e6c41f966a0a6472be9ed118.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08b48cfe0c19e1ded336ee50a54e21097da52a75cc15809545525a447bd1cf14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08c6f236a0657d013ff8dec7de3a29c668ab1043d5e13d5e39655361b1b9eb13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08ca6944e1f97de166e6b5a7d14ba25fca0ce5777050606618f684717b9869d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08ea9384588a6819061ea4807132a430aedebcecbbab610bb168e94c4673ecad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08ed28387b56bbd582c97f10fddb59d5c5cd5ba8bdccdebf6696e1acb57d2dab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08f77c61ef150ba1e65790edd78f280788bc5326a1ae178738018bec8bc42eed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/08fac0ea61d1e4e482df92eb16b09858a6503cc2f701eca08ea22711c151c6bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09009d86a0685acf2718232de819aff7dc175fe5a05e6fd2fc8329169c28eaa9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0909c88c6f3c910a57befbf8406bbf9133f3f67c6b56909994f6d2b902743533.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0912220f6a502904dd330a56b886ff952c2a02b2193c9fa8ea8d412f0f984762.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/091cd352b0b6a1f6722b5de5850fa5e5d3c8729c950cc36f7d09b2f4f472492d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0922cfbea0c54236000af164bc922ea3f1da8893ec000ddf9a2cc1bf7fca0e89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0926c9e6c8affafc82622ec50168ca1904e38a022b1fceee25ea63f493b84bcf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0927b3f77002ec6afd2a6eb3b95bb2cfa09e675c1574486dee331328599b6c34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/093d2c471c2eae876cffd7bacb5c3746498bf5749f73ddf25ab1ed11e15d4791.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/094c5d1bca373de8fac4787e1abd2059d3e326780fa62825a8a29e5ab7ef4931.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0954145eb01ce89f18dbc242df56907e45831b00cd85051d3c8094bd7ed8bbbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0955f2c676f3bc1d88363c09f797d7799b8080692e80787072d62435337c7977.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/095ae63e865c6f5b945eb4f1a57aa0d4259170f42c13a5f0684ffa6df5c4935f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/095ba57b443c3ed7616e58f5deb46709a7bc57b9c2e21e6940cfdc3421e6c6b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/096ba62e73babe85bc4f1db2b64bc29281c0e3f386b8d36e0fcaf274e46af786.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/096d8c4ae6bbc23a504b5c3f86f5dd2c910e00b8386c583b2360299a2a6c48c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/097c235cc0713433dc3679952810a254a751fff428ae53a2a20eff6c8cb0b9dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09822e1660f77f97964a8daca7a27f57040293900e2bc0d5b63f7b5ddf73fc94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/098acf4bc4bc3b73aa01d922fd36c39aee8f7c87cdb67050e29879950e7c0bf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/098f681a9950bbbfbd58d9609a33c2a5e7aa8f486613661dfffaf72af2618792.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0991709b95d3ac32afda4d2625911477cb2fa9bbdce7ed040b0a4a48464f729d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/099ce417c4e5d8a9eb6a8fc70e529af31da06f2632cbc5732dee0529b948986f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09a7a2efb7b1cf1816ced86a1b89d8f8297ccfcca451e3a7759c47cf097fb14e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09b38bd9f26c84f648885da2d88745beb2c5766d4b2586a403217d9b5f94b02e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09b6ec8f30a6fa8fd28d2c34f3b9020f3f07e71deb4cd5249fa44ce92a02ed16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09bc1f29eafabd5948e063e4598b84d5301eb5ecf3880f1d222c1e3394fb2f30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09c5d091d4bcd3761968bc1c2e53649e71284f0f82c204cf3962cb678ac59a42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09cfa520736fd9dcc65cba79636bd603ed4d354105029f96e8850942ea34fb41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09cfe0872e5551e94c30328136e91b23f1c5935996f939b04018dbb751714b85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09d150d028ffec0e3aefce307d85fa1142a3a236cd2b83f2be17b25afa48bf71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09d36ab5f308e85986895de25957f899541816ccb1f80b0569104d8f939225ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09d5c0118aa9436d5a86b53bcc6dd9db6576193d1988dcd280a2d3ef5170579b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09d628fce62d87f812b470c9835d4ca23627a9c2d9f3178f9cce0aafc719b939.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09d92eaea5eef5309e3e55dd1df36845f9f460924a32acac188ea0e1a4361cc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09d96abf280e0e35758b43ba9de47f91ca4984be46cb918261fb15e83779477a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09e0291725616bda6d5db4440c681579baa6f1b605fa8ce6436e89772ba10644.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09e51c82a685e705472fdb4072c46d3d3edb4b8a8fd5b330443dbbecce88bff2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09e54b73bab82f144325c2c3f17e8da4acbd0fd10072cf2634d6a210d16c9a1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09eca5ec8a21b9b8bb0a7a105a2f6eb36b64febc9cbeb3ad83e854f4b6911d70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/09f88e84c9b270059070f9e66526369d246d853572196c79262b702a9df298b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a072f6fbc42dd9ac83696e09a778f72480bd2696cb70dbab99421229dffbbc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a0ce485844cf33551ccdef5852c26f74fb9e5271b6da56721eca2ef1266db24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a109079823defec35a748f4a2ab02d20df5e90bf08d434e05157538a4969039.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a10b4707e43b80f59d7429409930c9c5f25f52e09ca0663a433b461a523b549.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a1132e5dd0232139efcb9a39dd1e575e72dc61ca232e0f89dfe4ae5feb4a008.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a12ec7d7df22af1ba0d8c1e82c5572dc1cf30885f990f02c6eddd50c7d10909.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a34e4e3133403c4bd9c8587ad251c52965e641a124797b28d6057375d9307b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a3ae4c8059845cca1948f94def7eb13ef5f3259af766333f2aee9725a0a6226.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a3c836c6d2c22d00e89f331b55a7dcabe29d3574319ed14cd8633dc0dbf08aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a3d9e9b0646d28863d7af3c985d345e4e035b6137359b2c23bea547970db300.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a3f38af2244b57a82aaf82d43cbcab39e057805a3bdc5f9e61cf4022ce29478.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a46d235bbab97e3af2feb761e16c7b2e1f6c8e212ae909a84fe385db2d47292.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a480c54c3b627e3ae5bcdac618bb5d6be383575f43635873dc5c7ea2c1eec62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a499be189136e317072f1a7ea7b6185a9fa24ec4779fee528229d79caf57dc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a4a0ffd3d7c16dec6b0c123eea2c9e847571095ab8ca320e330da7fc0f86079.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a4b2cc43262218248f6c03d1f23d2141b7b255c34efe32b01203057f22b55ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a4ddcda422ba5bd08a40a96795caf38aae2ff74cdc6b36ef941b987ddf85ca3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a5018ce388587ddeccfea5f871d64f86257d9e745c635266e98991c32320bac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a55d276068ddfd66d31c7c71d84b9a08ed52dd32faf6d85560a975eb07d0d11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a5beb0b64dea2003654846988311fe1b204b4d6137dbfd281fa06234d00782b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a608119b0745f4abf0deeb45661f64d9b5c7bd0e94ccafa2aa3bfe44fe442c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a61991bd0e9f05e650ca2866ca2cc1480267e391e6a2d14d944df1fece81095.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a649f058b33d3865b173a439c7ea91d2149696fad919c8afbf91b5ff4969058.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a67ee9f44b58bfd6dd1dc2bd4909bf8da075fe2a20bcc9a4187b219472480d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a70f5cb0f7794ca3a7db7cb5bf55ba32fa45f688f819d559d24e3668e834c64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a739bdf8cfc48c55870c07b19cbca26eab02f7a96b728cb55411e4568cbbe33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a7701fcb1a7e67ea6ba8861c256947fd3a277573e30a44da30bda02c3cfe6c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a86417b250eba49d8541694563feb0c18b573a2edce8276e7721ad95cc10c8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a8e06940c87deb3c4f15fa5135d9d5431101e750f5182e30bdee758cc7350ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a8f39b9649d2799e4874ba56fe9250f8a41ca8ce8e26d0bc67b6f2d0a4a7705.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a9017022c5b7448241d4e438fa26e7401d46d3c2fa95511fd2508e750af3b15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0a9a36a992e849fc0cbec0a2a9f7417a84abc4c9976bb9343e61f1839cbc12de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0aa8a53ecbdf599172deb79d52f2d4213b2fd66ee7b52469c5e9ae0dadb73df2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0aaef865cd15e705e3e20870b8cbe7bc2061db8690f994fe2329be294fa9629a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ac1c9c2572df0b05cbbe92fb56cb614e10347fec718ffa89e269f6dee679ca1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0aca902e9a44e7a88d6f4eb556ba77fbabe47e952a2179d3c99908a338dd08c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0acd76e680d4d13b50525af32322c1eb30605a88f8e5b0855508187ace464d8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0adde2834a40e5b22420e63c5f637b19c38216498b00d3e080aacfc0b4c8b8d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0adea88410926711db88b056ac32931d3507b4addb66abeb3c8f0f1bff746b50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0aef5c05976930a1f50355fdcb1b846b005d1d7cccb544aa61ad6b74dec957bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0af9a94680b65a41220a1e1e91bcb46f5a6f90bbd215bff72b6b60fcf72b0dbc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0afd06eed7865d0005adc16702fa90463847953ba8ccaa7bf2d59c22992b1ff5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0afdd11f17f444a78a7c5c2060ef1719043767d1a0fae7350aaed125931744fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b03e286a45cae13f12d8f09c80563f56139a3899d13bddd34780f9dbd7c6b86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b0944f2a999eeda4d5e17ffcc9a0d8ff607d01edc29d0a772a61e64a1ba5c05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b10377220c22a63e1c25bd453ce49cdde2af9d000abb0055c90712a02719909.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b145c86bb5869c2bcbb0c2b42b45dedfba7b58a756bfcb88f18c440d606292e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b15a420eeab0645ed288746c9227c7aa30cdcf20bd2cb2ba3b26e984cee4ced.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b163768eb2b8364a0ff0695d6cea580c4d62ae376532104fc07f11c12882e95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b19fe1452875431828f81ae052aaf1a1eb4269336ffa1ccae3290b63a26d191.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b27be76bae2d5ac4dc3268dd46e38a4e68f69b94c7bee29369a7eef11454d26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b3410b508bcb6d35768cc06cbbb26039dce0a580b273615430330721060e601.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b3f4596b3369261c141cdb2885b8e5912119d658ad0761e2c6567dd09ddcdb7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b410485c71f038812460b115adc8e8e5e65d9df8c533b906fe92a2b48059eae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b47295c5658fdfdab005ff82b008f53fcb4dddcd8507c1775cf18d11dc6c8f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b4d1201d60b64f9612e138dffe1c5ddceffce668e605830f0ac52336ae991b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b4e8b8a8a0cce7b03683f220849be6c926df7efe15d188b4956b71dafaf8c19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b55f6af8d8db9a45289ddaa987c3058002f4a0b122f94c2a18c784b175eb4cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b56f120b58297820b84fe4e3c3f9b58beae33e68011a681c1f63a3747e72c9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b5879248d1cb82499bbd3ae86a15eb6f69a5d846b367a259ebcd8ab6818d8c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b627dbf9be3ed48aaddfa60c14d650495f47ba8b710c9fbecd04397ac0d4324.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b7f8cc9cd893dee03c9782fb09688cff118cf6de4dfb2575d31ab1bf4565d4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b849041d40df64de4263b67e81c235e4261546406585dbd31a25711d1736107.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b87faa0a665e5b152e2093c1bcaa66c17b82b4730e4148fb2dd6ebb096e09ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b906e9e5423745f8d88a2e40f189e50bb51b901111f2f293bea8ad811cf2b4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b90ee72626d5fcd5393b8ad242a7a39acc0c141c1079d19f744e618747b20f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b947df1b9dd8e003ae7928625ab931335d76bcd57342fb2ae4faf5d4741124f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b94f9578c55c95ab4c9442fa506262d448bbdc98a41f29e772bf8e05a40455c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b965fcd6bc1492b86c4b51385fbf74926b738f3b443ab8b38533b30d17e5aeb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b97b37bfbcc500e1db8d4956315ebc2e0655bb3d7bf877374f6264817456e8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0b9e6e5f4906facb155edd46b5feccb737170883b08a83011018e0f9ef7e6217.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ba4783480cb46dc62c24ece7dda12ae62c6a3f621b60bf6230b534062255ed9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ba573c43ecf450f980f28276a62044658f201e56ac8271f9f976ef719b26798.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0bc1fd2a2525ed0f1d064a4a33d4dd262b118752689c7a7824ddcb6e3bc7a939.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0bc70b3330f0d5447b3b899afc330f4767ca473b0079e9d2200b7dbc48bb7978.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0bd957e29e1dcc003090984b62e5dcdf87c29ff684bba6ee0556549f5113ef0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0bda354834e30cf9a1e2b636f46c7c1e259e3233d8c94df8bb3272baba4dcc1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0be09c3892b227f648a6bb8b393fdc003296dd224da8df2e1c3076b64e682157.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0bee714b5d9621dab5e4adbca49d1a50700e2ba3b7d8f97560736717aee8f1f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0bf2f36bc2d334e43e1ffda09da27d94f877882a4c5c831d6ba014504596c234.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0bf3edb98c1e01f716e8f292d3bb83313d529236a2ae33935ba4897c8b4417a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0bfab3581571638c403fd669ed4a763762c0c230495b38d6d6d6cbe35f0b87aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c000a19a5c8811b080b51c46f36917f9f7baa88638cb69bb406dda01aadbd70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c12d66c852b93d82bafb44687538e74213012b932e79aa29c0d40019eacb0c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c246ef32c78ef86b512651b07f8769692a08cc6a09cc2ad4247653340e4568d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c25c16a118058dcf3cb8775b5f53bab2a9b64bf9d60ffef9761b0601780ee5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c28ea7fb51b28c848bab607b77de645d2afd368a0b1e5afcc8b9aad514a117c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c2f0a2dad80ddb8009d7f3e4e28170e28fb8a4b821325a4dde840d543a8187f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c335839a9fc4abaaee455ef8cbe8b98cc54a46af1f24d9f18729751ec2de300.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c3812af958a90e8df9c385482b70a4107a416657a5fe3fc7b7ecf4d4023902b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c38ae344c74eb1f985efa64378b646bfe6959240d826ba213d34e34d1402bc9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c4b212e83c968ac2e61760b4e1119b21f508d8a5e9d2c6f120791a542acb0b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c5167e98866ed088b1389d8e79423bdfe6f28f97ac05481d04f912e158bfb0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c621bf047e2e7c0ca092b1eb48461e33653fc80a705aa22a6d42d081a939ada.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c719cbc3099d412be6b72691e279292a79b669f794ddeee209b7959cebaef98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c72383e3d7504cad768d7835a224811cce829b0fd9b709bba9267577a2cca7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c855029806dfc85ddf450cbcc543546ded29396209f2ac3b475fcac3214bfd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c8838a0d2efeb9cfb762b03b31f04bc3694c717069ed2eab75d03217c719222.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c9222715bdca62c04bf240c09746dbf4c28f9dea7b133b9e54451c4c426ae3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0c9476ecbed542def2d691909a97272534e4c1ad334a7f1fec18e0dd9c4b674d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0caa647182c7b277097351bc5f422b4dfb4ff3a56c357dad3d135f38726f8fe9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0cb1278ea4b3bc54405cac543d3f7b6aad44654354aa31bca2edb020dccd9b5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0cb82155b8ee4b12ed13cc25495711aa242ba77db43e80dc10998c49cf878967.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0cb8fb8b51e2e7740823d41daa912013b2df745f340d8513c63b39879ea06107.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0cbe9bb5e8ec1fcc6454d78b85a36c9933c2527a8b3bf04f91034590cb1835f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0cc596a92322b8503948609df184a8bc8b9ccac1110acb14e8e91155e7888e8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ccdf3a8b10e4eb502740e89d74447d8af9f451b848133fd8779503b617fdc27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0cce1bfa9821ad26a915be10bf74b981fe90ebaa319c5fad92c85029058a6167.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0cd5e3e12d39a02c97ed5c286816d1db35c023077652dcfce39feac2a7de6e54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ce4d1861fdab29367668f83ed06677b56327b3442279223150325839962bfab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d0566391768aef4b07c8ded9c3c61f58e307fb9db6e542ea40726aa79c07e12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d0b5d8c1d4d5c43a9d7dfc529420d500459a61d4d7eb613c56aaa9f9ecadbdb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d1054837357d80c9de7a2ef31f8b77158e528a7a89ab52b5bbb03fca6f3438a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d19eae630273304daed001a211ea4d4ff22b6d1d39eb20d7004ffc05dec6a35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d1f05d37021a9fdf6115c11d78ca6be917783d32da3a213d1934a73ac0dd40c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d209f7466b0bcbc3288277c4fab317a8be96fa1588f1d90aa324988af2c07a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d2c22f5eaf2f178e6f3c76d38a986ec93be5867247f209480f763a89f5936fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d2db96eb25f30c3886746f535967de75ea8d9f9f00e31c9dc011ec060b0c11d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d33fe54e1507c629ebed3f6fa4bdbe9ba9bf4571116760edeed2ef3ccb24dfd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d3fc4dcbbdc96c4cb3fb2c086e8bab6408fafd46c99b863b28b7726cebc3258.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d4493b512cc7227f7e9d6bde9cd8524da4c44db36980c17f8ab93338b15096b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d472093751102fe9e3f9cf9a7dab3d5a1d26bc3d1b0880b2fd6a77ced91c6c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d52afbfffff4fe8248ebe7510ed08cbc35d05f99f271d09b5ec90948164d5b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d57bdb59addd77465d86fa5bd2a27f520c11c051f1c08bcb28b566d2d5d96aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d61fb32e0f5295df0dbb455953ba7691f627ca32948b97b369a479a8ea23777.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d67abb195bb394ff19ed3c81656e8411b945f4c0907b2cb6adb04b81301b127.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d68234eeeaac2b3478c4d4136b62dc0cd49d01faaddf87add1c3aaf5d1a5a91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d6a840800685ebe0366301b794edae420163217bc6136715f7ec117b693f531.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d6daf5bbfad6f0196df07654c89784ea83f75fbd2eb602ce0b2cf8884c7b46d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d6e8eb0a920dfb05f961654f0be3e1485ce76f3172eed739de0783aefae41d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d774ac476c9c2663dd61642da74b7a1d9e32cd3373447897b33e4a6c3374ae4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d78b4f5e8907a8d7c5896fd7083e3415f0e88587bc02905326579faa233e525.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d7d2c78446e3f47d99ede85c54685f63e8b831e4c2fdc8f118720a503479f5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d7ff9957bf195f200c389284297e61f78b3be512da54044789eaf3d7d8c2ab3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d82b29167ed6f6cd668025ebd407b88f39643cae4079662e1e83658900c4972.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d8390cb012e47441d9f19b9c6291469bafb6bd4b06284bcadd6183799b03167.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d84cfeca6b9fe6f4dd1dc1dd31903b91a44f0f6eb211b90167ba994ed10c78d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d8fb4e34d9d0da77d72f23f5bbba4eb59d3b9ed957e4d3cb950aeb62ed42af3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d962e0838e69e0f9f791010b3b9551e59176b765033b7f2e9484068523d22e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d9c30e1d742fd80fb8be570eeba4df7a99b62cad536b5194dfbb257b1a6b57b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0d9ceb1d395671bcbe074946f731ecfa486b70ae44cec20f6eaff15b5888bc65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0da59b1c7f6e63021e897077cbbfa5f2f35a6a37fe71b6c787383e8cd7444da8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0da75358408a11f4eb02fd2c0bec6ece7b4bdc96a6418c47ede94ccbaf8b0b0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0daf785257303b367fbfee84470f4031d954a9f12cc3829f811f7930b36c9b88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0db181e338fc0527b56a3c0d7327de719ef52374dc22b365a47dac9a04b7e045.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0db42a35d6c74f499557f84060f5dee7e5afa16bfa10fd57be97baf890060944.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0db6bc0c79a7a0f965eb3256fcadc4d202b3d0dc58f036654dec5c444fd34ebd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0db928bfd4a3b8ddc96d89569ae1d9ac9fc8b7eb2d956f04bb53af926b765bbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0dbc75d8908b24efd3fbedb381f445204787dad8b15d85b25c95695f28c1de7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0dd036141467fcd753f29e8e05613d4c236df6100b7bdac9f35dffc215ebf26b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0dd7d38192cba56ee495a771b2a13e6a10e39bf9001dd3e26d26edccfd18fe72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ddaaaf29e2b0f9bd970e6ca286e8f4ff9899ded87fcbf0a647a82931913ee71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0de4756a1dda032c0645f9e4ab6cbf4b3f5dfb46fec167f2c868e738989fb06e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0de4b656217e25d4dbbc76cd33ebb6af1486c79e5f0fd55030c3d0ce2843ff45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0de725437b81db648312bcfa94f2f1645ebb014851b0e5c57817ba5e603b7a23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0deedf97ec592aef47d710fe409855aad54ea482fe8de1e8616cefeb3905b799.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0df812af94b9f4232274e4738eece7648eca7a002581af61e6d21fcf91b4fb10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0dfed665871532039bb0cf0c1c95056e40cd6d2f13eff23c5f0a2da3de387a6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e0035b8c8fb1287496be84852f51ebfbe21d93ee4bbf21dcbee051093439be9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e04af14d30680a70e7e80cddb89438f7e63ad5ee3262ee19fd6780823ce5394.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e0666e69ba5352d36a0a45a5bc585567f378d3ab508b285b1a76d66615df40c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e122553423a1c59c7c933251bc092da00b412c7264f34d3e1a52b0523f4ba03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e13bbe314d118b62af3eddac683c16efd43cb95f09ffeedc27eb9d8e0667799.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e191191d4ce9f5e03db3df5d21c95578cfb45bfa8576e91accfce14dd34e713.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e1939ae28ca47420287e1a7e7f203c1c3872b25d84069d639af607731153908.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e1db5123bb7df2df4acc2bd15da78055def3d1748e7d1b4502858beffbfb39b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e20b5e381c1cd51c0fd84a99d4f2faf0f561accf7952db3a7ad2dcf85da9ae5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e21d8fd48e38e5c9f394673c489f3ac263c2b898484042d152fa9693377932a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e2c0bc6e1d5d8bb4e6f5169367dde1b59425e6fa68bef9ecb2d91958f9da10c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e2d27a667e131f84c0bc12757e08e85815c56e5a1d1e79a9b271f2957490088.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e2d2a3b0fd4f64ba924b991b360f2e71137c2e6b8017c4ea344d506622a12cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e33b0b42bcf3fa3931b62af92fad13e2ad0c05f686296f14d6cfbd41acf8bbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e3b4a88abe5a4dd649389d1f90e9fd08c944f576674911169802a2ef4f555d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e4f21bb2b4cb8cb08c50c2f3cf1b234e62e26423d51b5542b597e494fec9657.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e570f8cf38f115c7b116743f5af19700de62606df3964064f5e6e4e4638a301.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e63fdfaa5785dd573aa94b1ca3c5262d6c075091c669a4e84ae63ff78bb5360.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e68641da94377eac1110174d40257013ca3f9ac6106e335e9314ee460e47322.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e68ffeedd602777fa639b9fa012f89be5c784b5f21dc0f48e57414256fbb36f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e72636d6715807da9f5f646ab32e00eb5c911eaa52c5a221e0a96e12229f60f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e7459f0c7054074a68c6536c6a13eb7f29d441e1e680c4c62623ca16ed0cef7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e766a058846d18b0f593ecfe006f184fb078c3b265b354989d0f1f9e6c4befa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e7b437b5aeb02850ad8c718145e5aa766ae7bbbd3c7a4448c304ffd872673b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e7e6e0e317761bf5207e240aeda75caa712f398ab53c3f1b707afe01425ea68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e8f2f4988cf876456f042ee66746d06ed070cdad1981f73d834a57e90daab29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e9519454b2a99161ae8d5e4484a6ca39fcbc018e7ad7f1f62d2863a7b63b873.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0e9ab3a03c34cb47a5c663743c942aca20af7bef159db74141a7e75d9b4d7d2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ea350ed14662603f08ae7977b8f01699f1ec8075ca6be1ec38c4aa580e37cc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ea4ba94d99884de884e2f2e10b5e451a1b295cd249e44c2351f1d28f0cfb099.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0eafa7f2f239229103e8b929277c7b23196cbf663ed9bf91dbb0f11a8fab73e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0eb02fe60670eb9f941f5cb058187a2d931a81715ec042ab78d428303b1cc067.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0eba3fc76e5f9ec85e18b17e38bfb8311c0fbfd4abd2382f238b8e528e239797.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ebf7eb99a4cdd5c761065a419d753f39d58003d05751cfc630efcdb1266eec2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ecad67b489a00de705016f3264d2676155fd96ff287d4227e57b3eb8415df83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ecd13f6b1acbff9ec1525ae765cdbca64c7fbdc255b5f022123cebbd0e73ead.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ed1c4b1143b6c5d9bbfacf7a3467abdbdcd1a905ddcb50b1e98134b2a2d9a31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0edacb6a564b352c8fc9e4917d6784e0b309d8e696988c2547ca0be19075e6a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0edd098d1d250d07ffbce57fa6d3a751d9d62bb6d6679900dd523455ff8aedf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0edefe7d7d598d095047e35fe6d9cd4a22afe6ea5972f2bba65bd54e0d2bed02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0eeea241079683c4463bc2b294b7d934ff75750237fcbc5807055686d106a6df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ef24d8f2ad6fab0d596ab0d3b39c8953510196f91040722f5aee56456d8ae69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f03c292c34d6c26bce5133f3859089114682f6d594f44e2027bf2337c17cc18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f258e6e3a6c72affb7a5fe2c536d9d38a099e4c29f9c98680b11bf1713b39c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f34ec053c69bf1af97b5b5d90c9a54567b9de5e4beb8e7b314415ee76874b43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f454751a79d3de0b5a6d0f152e7b649fb641d9e2d587a5b6c623df7d4e34353.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f50fc7840d13cf088b09b4be6e70942b2ffd4ee44fdefc7e9099772ab0c7b66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f522f614406af194492df6d0ff2f876642afee37c92d7df5bccce5fe2bc2297.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f5d074b76a9b22ea250a62816d83aff996e7847e2936e59d05424e779a9f1f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f6836debdd2fdfb2a1799e87d751bc07f1dea5f3fad78df79d09323b6e16a07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f6d2a6d1dc1a5a37727a1ab7de62cf51d982049f73cf0d2e16b40be66a99ee0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f6ef2692c8a1f0e11020263f3576495b97be70851a11de7160e223fefe47b43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f7002f2526e429348fae2138cd8afaf3cdcb951df3c91ea5fef5c20c842f1c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f71e3bf84a69ed27ee4d3254a754dd806afee8de77ca691cc15d8a25fd2c063.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f7a2388c4904a714723cdcce962f98f41793c64fb8e921632c594c6fa4f39cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f83380139c19902be22ddd5fd22a58ce71d7a5ed1311a668cc5bbce4e058a24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f87c74ac8d91e514fa8a66852aca8b58b3ed26736c7b40f12a541642d9c6cb4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0f96dfd8aaa8ba8f44fbee8c6beaffbb0d0adc445c1346622a0823c932e859f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fa83177418dde45453b1b0ac89492d82bd2aab6b2ff4481d01acd0e579f2743.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fac848e7a255c3f37c2d571ab79772051bdee6b9c2ffb9c5ff4f37649990671.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fb64f9c5004d2ebffa135f637728c99bbcb42105ea2938f9f3805627689e601.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fb72b7d121e472439e49c87809319f9cf255841902b567b80bcea16a54a33a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fb90ebfd6dd60502df2a21fe3b536a34b8fb56abf322b5478caed1ebb29c63a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fb9ada1bec40ef192a4225e601139cc2a76644594a60dabd70afca2bd14ee48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fbe41b6657b398128a23d6a25e58e319dd9924508de4dd9efb8b9b82c80e5a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fc26adc3251283541d825fe6f4166ade110d8889e890f47ba0a027a2dffd12c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fc38b484f0e3e8c5ed512a132c93e82f2f20b2ff71f56829904c52e0493d14d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fc6701a4d01a601a54a44273378c014d51b96ca6d935e4f9b3348c32898b2cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fcb287dc2a23020a8867ac03ceb4fdee468d6733ca2345b477791f160431791.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fd0ac016f0d250fee91310624a95159516b679a4b389ab26b6d33ecc62934fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fd8ca509849dfb5d62b068f6f07a770f845deb67afc63963dc71e0347000497.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fda0c85a723ed81d74a2dcfa5cda3c1269c2aca11be049c479e42752162b555.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fdb24b4f95536336d1d260e1e840e225ac1620ba64e063dc7bf0245b1311e39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0fe9b14c2ec706e65b70655b46aab42ad5f4d54c2f872d04628a2235180cb19c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/0ffc040b5631dd245fadfe4e32923f308a27c6f00a7685626524be9c77fbfff5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/101000d116ec09a2bffec397454329d237282c1fd01818df13360c0706cfd700.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1010c0c6aeb5fee142dbfa5011a8d970228bef4a1e453e70fdd024cdb5b50ebf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1012de3f998688255d39802d82722421f0b76dd98f2b58bdb58ff6ce9d4c5cdb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10177791ff3d244ed2ca48ef71d5970b5554ad65c58555e8d35ba2f237ecdf56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/101d73935298a5bb2f5235389a762cf967e40b038e0b32607e06304ce8c1ded1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/101e9b2f879c3ba374e73f20df58e4a65273bf1629fe7ddbc424eee4e562f80c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10311cc2ef508142c10c1a5bda50c892608fcbc14f23df53c051269cd2ac7039.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10389207a602fe106b93b1df27cecc1d440197224722a0498595fc5f217f7fd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/103acc845756fc7d064a464e9871f760deee5ccde53380d31cb4fff4089735e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1043d7a6c56313378bd1f9d22c3c4d71b7b2552a7486ce68987ce535be184157.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10450895485a30e211ea4c5b78fa4a1d21e7db73222c207f1e98e33170f39776.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10490bb61f0e154fc8f966ff905cc2e0016cf3317e0955ef117954dd5a059f95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1052435e546130efd128e9473b67c99d999ccec22c9619876e6dde7c0dce12cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1059e4d0943749cad982906e5db6f3428903bbe9ddebaf08d20cce7e9cbbf226.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1063aa23a0c0b7cc5f4dad3d60b411b4b4c1e0bfd1315a1daa6f518c182f4b51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1064c753b3251c3a3ed90a8fccff347d3c596d4cbfddc2dfa714e3702772a2e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/106fcd106c8167e6ad341ad4aa9995d398c2d4ebd54dc76715f56374dd1f0374.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1076806e216440bae77830d5bd621b96d58b8e128881bd1a56d6ed7f527cc93b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10837021f1bc28ff9bfe3d5139be5ccc743ea30eca39dce6874b97629c5f9e71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10918ce8e6f37914d2c82d971117193cbf9a3a955f2a930dc60578cb5e1aeb49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/109726762abb5be30094f1850684e505117f87882660c8dcc66a51e592efdfdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10b9e5bac45487f5d6848a701c9bd976d655e8d6b84ad4593b9402c3016dc3e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10bd34da1660fbc62fd3c018fa3b435ccc12d0d1e9b687a6b9499a2a34bf4952.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10c18ade3498ccb4bdbc24a0dff1d4d290db02cd1adc01d2627633c1dc6306a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10c2412ea5022db88b104b38fed734835775762d5a5dac6b724ac365c225cadf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10c716442671984dc3c06ce45f5b16d8363950f5475660eb73493df8aedfd417.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10d7d2ec882fd7d84ee057fa7182a2e9c9367b7733c980fb511727739d6f7479.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10dd24a3e23c8a4ce9e16d702dbea5b4515e8fef73b55edaa1d34531a4be701f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10e30d49cee6b02ba8ef068e98b45b11821cb4b878a7fb781852504d3713ebe0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10e3d122bd7836aa6c68d6148d33433791df0a773d67f346088a411f1ac2892c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10eb773d570f792c650dbdc1aeb7bbb045a296281675b4d9d195f2d2c9c760bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10f02845a66888119681266261de47ca93728307bf6597774b84ac2e92d5a386.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10f0474733f4da7e1cacf11fbfd9261eb5013a67196cc5892909044071480eab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/10fe91e9760731515812b98f43afd9a34cc8d61200f749873d00086872121908.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/110140e76bfb7dfce29cfb084feeb0820e8f6a143b34abd5ace25d6183ce151a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1107985e72ac6042f13e5ac795ac500b5c814773f015aa4fa133ba61f314421f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1116d1736ebddcbe3a2eb115e32b8478e34861e794ce7f1680e60974f760bb88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11186460ba634981b8a65ad784cfd030063b47387baa89944142651bee5f2220.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1121efc8bbf40f6a7b58c190d4de1b1389b79fd54eee8df966c448ca09b5c5c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/112bccbcfe44eeca024686d28fee7af6379dc32b58f279c34bbf6886cb7d611e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1148803c958181ab486bc9b4ff58cf9e2f6d0727773151c12876b65832130051.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/114af35168e1761e9677f5029625224446d3e833ca1fca9a4d53c6b61f192db2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/114e3d7b0da1bc10f5d9d8a4c607b795d9d2797c9d9267126385904994fd95bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11537cbf013b476a204938e06c5e237b9f10d59fd4904bc2be5d16a2fd184c49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/115c306b65d6ce1dff1a521439c941a5f0db33f64a6dd3ed40d88f4f05d7e30c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/116136fb64f905c420dcb3f9980243a73b51f1f2d7003824c5e7adb89de90307.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11693293ef4afc4793c3a8f933b00fab41cbd3ef802f4b14d1a56682bd449058.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/116ed24d5bb38e295294192b22127465292f4c1f03d96d9ad15c2de11337d0fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11769c67af6f05d1e2352ab850254c7634a8f13887268ec4ae003c7adc0d73fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/117d3fbdb1d09f0799eb617c90ec543c1b1cd5ef31ce9629826042b38284fc2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1181156d683091aa9d0ad0159b63a46979fb7e34adbb478a1f0ba589f339c672.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1182563367efbb40be9e81e03112a299d7676e4fe7010cca8bc5f105f9af49fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1184fe2d1b1b21937fbc8f0061bcd2e8569dd7a8698164c5aa551421eb726504.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1198bf27423ab0fe44fccca547d7eb8b1698f40cf4358ad72b52c1dc0b468e28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11a42cc77251c92ab0cc103123951de20d5fffaaec629bf50ef0991a18123646.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11a54917da552fa202339aa33763919d5baad832449ab717c53d59d39cdba10e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11aed84c1244c7170afb688f09a03fe336fcf3780ee99f4ed4b081fe1ad80c0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11b17a68ea7949733e84a8445e1524bf9972f22a3eb09fcb433f713363d2ba2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11b5b6247f1cc1688b18d4ab47df15fb44c14daa1d3b809cd2524757a9f5e80b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11b814d423445233048691108c17dc2be7419a046c2d137fbdaa44ade644e7ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11b93c8092574d761d1458679626128d0ad1440c7ec6145915ab31339c4700eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11c549c0112224903252766fa5c48b3fccb7cf6d29062bebb3d9a875f362fa01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11cca66aa5802ff144df631e9e4897af99067dd3c516d3524685d860ff60810f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11d9dd3981845c28980d6eaa1715c4e7eef7c5f46c9e2afbea168afa510e20f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/11ec9c3107c53c4d62a4e48dbd1e4acba3fb24bb89bd42900f11ba1146bd7ed0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1201c3ce9bffc07b4e92c932f052f564995b68c56e026613548f19428ff252d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12059d47fdd102ce8a422d560ac7e4ad0ff1384a444be0914e3997c8d0e3a0db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/120ac65034ad9890b876c64788aabef3f5e872ebde1a7d5d3a478eab66bd5282.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/120bf087985e9793adf6543045d93ca0c47ef76d8b21416bc775003eaea57246.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/121038051f477c82558a18beb23002f670932925b75cbbbee6d9f0a9e6b4a899.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/121882ccd5622cd66bbcb4fa1a04028478fa2705f567f179a35aa3f1d78c643e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1221f797575f175c40f97aebc4fd1b76655387bc6d0fd0f8f5370dccbaa69f0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/122458e307333ddddfed7464d71dda158f287aceecf28ca8693c0d50d131e1a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1229eebe5e669cebe7eda3d93778e95803709229316cb6fe84f9d6a028e98d10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/122b4ef0e7f70d5d6ac07a294787bb9f4378842d07ba85aa141f6059326e9015.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12336c85744ef6fad4073bdfb5e56877283592d38c53cc6a3a6adac322f9ad39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12451cdccffe670f5f132714256e9409d6a5e739ca1f803d8fc5368f0120b3f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12473b2aeb53590639f9e4f1c3f36af44f7804f86e76f9040cea29104bf70913.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1253bec2722e99351af67ae9e32876875d65b15b8e7387252abf25a3e774c2d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1254349f57691a877718cfc1268d60214c4d28450268d7092566372f0f55543c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12604cafa96b8ad9f206a7c5a14fad6db9b893c2b0b00d9e0b3dfaf9dc51f605.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1275c2012f3f2340a2d5a32b23b0f40d5c6b4d21b4817f3ff8e79fc45193d1a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/127bfd7df365dedb21f60fb989c2cc488200983cd2fa4ccd4e8b4312754a5a25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/129c66451ebc4eb970f0363403240fbb3ea75f66bd243e07b31e247444b2db6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/129ca8149366cc09547fc9b3b92c54973b3ea6dc66c903d41cc644eb63643fee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12a10243d6ba316295a7f5d16a00c7722e6e97dd5cf9e82dea405763331b0c1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12a38c8a81623323178114a208e5ee3b21714eb2d4680b148ea68b4a0a8fcdca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12a558bbf24b62ff33415dc6512ca69f20ea8b6843de573101cbd28829eaa590.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12b727928874cb331e0d05ab9c3c4b2009369401a2004f74368c705ac026a425.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12d0956ac62d959dfa35e449b06c361805388676277f6c9dd7063f9c6774ec6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12d6930673a6cb124288fb777c09156bb873977a1184623d6f1a33248d94b475.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12d7f16fc9d31b2301b21597496435ce2a69cfc649e2358c79a29e5e75500f63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12d88ce704a8e3ac431f3440433097a55699b34c3089de3809445d7028af9473.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12ddc18386860e1cc4c03bc7d70c9dae9d9896c7c34997e95528acca5f24f85f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12ecc4a91119fbf2ed210ac877b3fbd88b27be6b75f90e4815e395fbb0338537.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12ef36630d96ee1474dd89af48f7d26c1271dd65d03baa2d53e52531c17853e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12f34e8b7ab7db023c6364135b3480fd95d012a01b2909763c52d4aeb1f8276b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/12f4915f55c79eae8c481e935dac0edbd4393c017b67a4ea350b42104f2ff24b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13057e348dfdcd92b847328375a94f998ad7309cc7cc25bb7b3e00bae992b02c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/130bf132c2e43ec76156f6deaa03712c90a48f57f37655f8775a50b568168649.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/130ce4e2f593ddd23d72b595e2e7eba77c0938b5a1b8a9a663a63b6e4e6f5bf1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/130e0f909863ed48289e8d10872ac730a91fe00c08280ee4cafe9886d0925ae1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/131509b30ae93d4d8ba07d2dfcdd2fb5bd938c762f8ee31e1be5b6a3aef6a581.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1315d7cfb65032cabeddfd6b21badbd6e7f4d379ed3eae557b1c0d367b3b3a24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1328777f45e3d97ec65f4edde616b6067b50b9029b71902dedd4b0f0fa9b9d6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1329583ac17c3ef9f3ce3508fa8394c9212d658e5f353baacadaf0b72ec59995.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1329f6aca6fd3f03890fe4a15df437fa359c3e7bd135631cdec33b9eac92a216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/132a6026fc0630dfab1412bb2aff67c870e79dd9c71a272636c0c71db84a6a86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13304db20ea69ef36a7545d6e7be1d81d28db740ed720d5338d11c162d097383.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/133a322780a79b92477954b8b05a1aa4ce2dfc918671f329e4729cedcd95dc49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/133d2fe5aa311aac9341a76f6334ff7a359f30c19a921d538233b70085f7d444.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13442e70f23faf2efe7e462ad7ac27e149d2d38bfcdb496e7f2ba51f713620aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/134835b0faa3d75b2e5571e486aa9c43444e734e8c4294c991d847f12ba2ad9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1348861f530da69e48dd83ede7ca65afadc156248c23be7661928fc50859c30c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/135039c4c85eaac1fde44d6564fd33ba8040508af7e347b30b1e5715cdaf7070.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1364bdbe6a0bd53cc203680d9bc20258ea16e4ea7c8dad0a7999a194627dac93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1368b6227667a2102c794cb432f2360af8227eed6f6fd160111a8c72eb2f7212.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1376cc047f5550656f26c2e43924201e9d1436f6ac0aa4fa014722d557dacd21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1377b7a126c1806caf52e8f8b748d7d087320d67922875b88db1edcb9fa2ced5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/137ba42beb94fdadb8d47fe3a0e2e2ae98da535e7dc7856d26327715f5f68ef8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1384c15c162bfeea5da43f2a5f2f95a3df65bc289f91da3512e25807073843c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1387db225d235efe5bc5952469b9df9525d0bfe51793bec3898b3b3f79ee1e15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13892e7e9fb3e03085010b0dee298c9f2f907f395da8adfc151eba9fd093944b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13895f45f1d23649d386ad874733587664b09ba72b4a3a51183104309d2ae0da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1389731539417edcf0a192227e952a04eea4a98dce73e3c7776067f7d540539e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/139da2fe1ef6cf01ca65d49022422667b4f3b26c026e4dcf74d7c3bf7973f3d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13a32f734d6699db21add24d8895331e001b2fb14e991e3c9b6d1590cb064cf8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13abba7e19452892369fb3c72104c2b3cd80bd9b6cc6331a07ee132cb00dff05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13b01fbb4b17883a2b1eadfaa9cf19269471fa75cc2dc797db22addbdeae0653.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13bc42cc6247469a9d71f948abfa5b3d903d50cff27139ea5acc9abfd3673bb7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13bee4a11bc13225e6c90b89a357ad4382bb2a9eced81150421291ff1c93c884.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13c0ce9b512c69e1f410a33c482c702c9c4fb879c6855e92a9dab79cd09dfe69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13cdb6dc672f60c32cfb2b7c7fecd0c0cde14011325efa874cc9266a5ac12027.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13cf2d5a3640d26ad397c4e281f60c40e0f738ebe135ab0ea38bf97da48e0a77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13d5cd80b846f06cc495e634ada914111c63502affda0830c8529ff087df97a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13d722528314a92682fa9203902e2e8e375a3aa444c8f9ccd15015455ac13800.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13dae6b83a647aa187f744693447691e9114947ff90a0d911fedda577fc54de7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13e1ffaed9fa1e7bc162a9275d8509a01c20271c15bc3ce8fc2f0f28b72319d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13e4b5017a3a045495657bf341748799214ac99fbc22181a53b3014cb8f2361b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13e7debf9f229c0585443d351c2b9b8647b3f6924b08f670a8da8f392a2fd38f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13f1c9e205e064645cb3745741dfe014accb645f5b4cf77e250cfddfc4fcb841.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13fa02b88f43af1de70d4e642a1009656172f45ea5a50173da437eeef300a1b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13fc3ef8ffd4068ba9e97db6c1331a0e440d30bc192246be50956ed6748db2f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/13fe515c5c25e5d8afeaff5b63cb66b4838d24be2e9c785045f690efc8b52a62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/140ddf82d425f6f88c355428d858f003d54f6cbbb88d02b2929a0127fbe427be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/140fb4f75770cbe0be8170d2f8465fda3196e2925a9fcd945a39b0156dda9f52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1415636aceb8d697647a199c00aa975ebb3a32408366dfa7bdb218ed4e8693bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1418f656b0f6860b6433556fca5a6a453d1c9f26aa64501ffbfd808c1fa0315c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/141a4879be8a36dbd5100b896a161db4ab0a5ef20de10d81f6d96069d530b051.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/142243cd8f83ca8e26b5d718edbd8cb162554ebaca8e4b60ef453f5cfc35a612.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1422e6b33b89e292fd45421a866b60aafa1f1a5bd07ef8db7524c0ea7f9702a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/142473ab1b8e10d7e5a1ba951a112c7e50909a6df83ef1dacefac0e162e50993.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1426b1e54a27fc0f801ac39d18fafe09452e97c266abca6245a17047020d9c06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1426cc8a5ca7fa507021a7cae1f1552bf59197d635792be8bb78565264438bbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/142bdbdda3fdb3d6a471130cc5400b9ab335da72ddc616b5b731d3f1aee51d64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/142c7c63af49fb5d40269a89863d5ad572cc4a1768205353c0c25a4f4942da76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/142f906ccb44d864624355458d66ac98bd857ff74d772898033cc17a35fcdd71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14320badf8ee9621f5f7e8dd468dd84a8f7be2ff7ea0570c6a7ea91c66474ca2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/143724e592f894d33327d4bc54483f6d9fbe0a14e1e5c88033a47cf43676ee63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14376d8b2236aee6bbd7a7f034b868d92269a51f4f5d58858d1c6d38a42a06ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1441e6675ce590ec71f38fe47793182d6e2e4147a6d159394293b42b795a4cf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14443fb052eedd99b850df682227b3755b34e391177e2505d7a8b8a43dfbed0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/145a8acdde3df3ca32c914d44479a11ee3a828c1ad92011fae675e1d192ac3b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/145ace9e236d18533f13784771e3b7fa19c6b9009b7ddba84cabcff9223dadcd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1469619025a49f1916b55f30c9ab3078991a9da209c7f21910ca9ade5e546c03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/146de0c89d4ff6ad8c6b26af4f91f6ac7621b38e46bafe9c3e7d89a07aa88252.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14700f8503cf1972c69d39ba369c8fdd21b5112adac601ce86c79dc28af37f5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1473e8e9eb418d6f8fec40562e803cdaf3f76a1ca578499684461b80bd7a1fce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1474ce6c416dca542ef3183a35cdd77ae7a3be4c6ac365c22bb93b792059dd5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/147c90ee2f359a0b54cb77045fb2918dd244e860e4a6c1d858ca86975284107a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1480d5fa7a9f8c33aff3e7ca319a079adc1a51ba5f088a8a0896943d9f765534.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1482f7337e2f983a69fb9437dbb5664d25290d9f6cf63ffc03e3cb3bbafbf910.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14857f173525493cc3b8ff23a8fdca98800700f89b763c8fddecae3ed0d07383.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1498044765a65a6b8f2b3c2a902117b267442ba711bef5bc5ac995337c56680b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14a227bf2692f866ce61de729576f7e15c540571d1ba459e862b7a4ebd6c6571.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14a4b71c966ddb85238fd5a0466e2e5eab4830b21a362c0048e24fe006740c53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14a7fd603cf1d0f542ffdb8d5a21f29206b05d1071c99c7a8d74f515a2834406.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14a9edf2713e6dc9bde3e0982abf300f67d3f12adbef865620b05560ee30d720.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14b8eb6b02549c9cc6e1e478493acd58c1a52f42d2dba460228813389bc2320e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14be327612718fa19f41bfacfb4bd208a6f623c8069142dbba234d5422d0d441.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14c2bb806d531f1f9627eca69242544256030b1744e9b566f4a6a46efe284f90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14cc30139a1a295de57308439440ad6167586922d34f5615ae66c9595f587867.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14dd772599d8fb262bce1c568073d08628d5a18384e36353d394fa5358404329.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14deb379653274f2b8c878f825d2288363d23c3686c584c5edbefe8338038308.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14ed64d0e14a842f9747275d2d4d933872377dab7e83899c2cbb6ced92476615.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14f15922754010ccc0f64f89e1e32e605d505cdf1a0a15548a4d64c86ee68e90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14f4fea8324f82a9bff66a91b62e0108137459e4403ef7a42f3a425b27b90f7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14fa407aa59a6850538777d983be83cfad9782c92695cb7fd26099c88f2c7a84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14fdb6e612cbf73ff4297d91b270ac6d902b391759e9ca71333cc0448dcc8b40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/14ffafaa66918fb696883749ae0e44d258e395ba7aefda46e27a39a2e58c883d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1503fac74757fdb6f1b730672e96fdf237dbbd6d25555dddbdf012bb697f2218.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15064a6c008c30623ddddddf52c5ce61cf8bed06d0687b6b40cfd2d67a65ee01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/151840f51c5015719cac45445794203097c8a476655de1d90b02f33efdc2f3f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1528577d6a12a9d4ee2731e6d80d27f10a70ce604e934a2c116b07cc32790301.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/152e972d0951528e966a9ffa22dd8f8ff1e77a236d700cf4bd5cf20f2a877004.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1533fe5a7c2a2f0abf983cd7ce584e54dd93ee9d5a9ec7d2c38be2d2834c1f53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1547e2a67f25d7d9545b8074789b6b071e2b27bb460e762f8e7f7f413d09c34d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15498dbfe11ae945a985a5bd7ecd8d2a279ec464e981dc25f37e8d2315b53ed0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/154d8062586d3b8203f5447ab332050588fc0ce74d2632bcb61f774d19faa202.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15597397cd3abc9f058908b43bf8c78d0f765fdd1194dafe75aab8bb121e245d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1560753c488a80370d01107011ef6caf5de0bee165e2b2fd4fab070e3aa31e64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15629c4c310f34c969ae3f8cad1700e7259cc590d288ee3345ce4712d5d7ab7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/156ad344c8fabb95dbbdfe0c742699ae40b9942f5329100aa60a4b00b8665f07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15710758259cb754b1dfab5e90bc9016f80f98197366997553b193efba0fa249.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15769901b5277b4947376e9c6e753a22fd97c505f9c005e42deaeb9eebaad83e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1577b9138cf9411998633f602262904b4ebe44cd8c90529c94f412ab6c034089.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/157b7f5db053d34e5a5824092dbc79633be49690326a54aced368d3de8745bbc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/158534c308ebeeee7c61001deb664aa3a3845ae27ceb9ed578d1af61dbb8af78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/158774cf7240eb405ee4241214fced1100ccb5578b9cb2519444f665e225b85a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/158bf1f6e0e39dbbfd62b7513362534c52c8c9b18b17f843797f293f9bfc2741.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1597cda14ed3cd4d195ed9552bf4742e9a4820f97bf5368a59c75d52def2d3af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15997fd175e8261bb56c4659fb4ad83649e8b01207af43126c547e6ef7bb1ad6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15a2cca925f4adf736ffa9432a4ef534d066b802dad4333b0343234c81add12f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15a34771a5464a9fdd9fbe90fdba9634e1d9bac83800e49523e6e7a57eed4cb3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15aa466a8075070d83790f9783936893d666c844e65ddd1ff770e5a87c898a15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15b24bc548423c7f793f5fb77d5d54c4ff456ad6c7e04c4bb97dfbf6ce24c058.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15b8363ab87b35fc3e141bab46813ef100d10d66e8a64c0f8292bb37bf7325d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15b86446fe4de339c5b05aa60d0e18f267bc65c6d2f2f04763c4ccc54776d76b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15c54530f03afd6a12a764c5a6dbd7c774a1d6a25cbac2fd6a8a2b3716dae79a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15d54e0ff96225a2e97769b346114c43dea6b12724c5deb8e29dcb5cc09fa1d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15dee501bb871d26b193f515224e6f65f3d4b6f165b83032bb67a3e01ac8f343.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15e16c713e7e8de61f6ddaee5fe4b3336b8c20d5ece903e30b4b5111d4af5f87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15e551b0e1b21d523cb08e4fc3b5786de0d75bc05519f7e7b4ebb1e30dcad29d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15ecf2ac00318201c9b6c4220333481b58c81f7ba4c1feb876e2505bbded0197.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15f88182cdd8a5807f58cbb276317e9169ab0f93ab1cdf037c50709b206f3316.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15f8af47bb45618d9424cfa1583da19ccb1830f1195a0f1ede57881b804e98a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/15fe9ef3041238adc207d7bbd494df36c5934cb8ca6735c34c664d8b41b54d7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/160ffdb0595441d56b3986ff85395d3de1b0c71b7d65607b329dd8a8c296ead2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16126cfc1191cb9ec5e0d24085b5bb5375626f9bdab344ae8d80a15402f6b762.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1620de11f6dd1a861776142f92ba484b7f8fe1a15f61787b8012cdafc14c4b93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16281dff1b6da45317240d8901ed263c69212329e2cbfca1851f36fe9847cd22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/163148193741ee0ccd460c99c1fc09536a1287bc3c45523e8cf5594cc62bbc04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/163f447ce756780e1f945374f141d0e1bab19bfabda60462da39dd538dd3247f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1644a8be7d5757f0c786448a817bc9c08c4b770a9bbb178a682e579db88cf4e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/164e2f4ebf30a52f6fec40884c28cbe67a2385026f4e5c50102522f099fa937c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1653f70e162023184a7a2790b879ab5fe21c357f8cd4e1c0162e21a982870882.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16562b2ab0259eb362d117244693188d31460b80f48ff664da79be9f0c5aeadb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/165d33ab8578e059889057fd0f5e5f70af608aa4f33b62f096505288be95bb06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/165e3fd428cc13ce6a6b96ed9a1e9a300404839614b99e94a376292a6dd2b04b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/166223830e743619392dcf4dc75f685ef10214204f27961405d8dcfe18d51bd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16659ca932d5c6146afdcc3f6111c048a4451e3f06ac930bb7bdf2d9fffe41cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1669b3849ab693a7be9edbe40f4c5531335b1279eab8dc0e80ec0278e29b868f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1670c0d43508d1ba8583fd68b88e00a7921cb536f06efe2383d1f8054fabb2e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/167276ba22c89e9de29924a442a30bf3c5963001ce322dd1fa84546ca97346cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16857a4ba19ac73f45c5dd9244349266960d431bc7f0379491a44b4cdd145c58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16893b705b218514979568b097268c377d9e342303e613debef9b01da9926162.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/168b79ef4ea00798e0bdc05bfee64b63371125deceb15ba6361aba3207f36332.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/168f7ff948f9fc4090448b5aab627b08d0c6a31a7102bcfe6aa8d7df1c9618c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/168faa17484784cf13ed37a0cecadd8801702cda24b300b5133afdeb0eae4742.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16911971e3918db1018bcc1269419f106753dfe456c58e5436b7eaf7c1b24462.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1698ad7a80c2dfdfaf027198dc3da194a74d4f1b4e777ccbf5cb2b0ee08815f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16a7101995a7d6dd8c64a4c13f52ede91848514f8ad4289d4f3a88dfa2929427.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16a97d7eee06a1ec89c1f6f694b32400f3bf48fa24617f950d5f7f066581da15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16aa56d529fa93f1f162df58e3b2059e1ced3e1aab26e6c95cafa85b8001c986.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16b7c928b32870f752a92f0a9d74b1f673681d9255dc5996d00efac2aadd9e8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16b99a5a7d46f5ea6736e9dfcdb4e213f095443a2d9f8838006fa8035f53e569.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16bc50ab0a3a09620ee326acdaf4d24a14b6678e538e542262bfe1f79d8f049f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16c68a115f39571766409cc567932ce9412b92de45c21ca8dc5e2f314abf3d7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16dbaf82a5e66439202bc88c34add18a1d14c20690d4d9e040e2321e3260c7f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16dd450fa11ce65256c747b4df63d2114255158abf2b9545d05924dc9a8560e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16dd9ae9ca087ef21d610c42c647bafb6638328f3808cb503b36d916156ce841.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16df5a4e577cc120c27a6387c4fb0fe253f289ad127c40c7cef232c6d70cf53d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16eb8276f325baad726bf454567bd037054715d6e1c952cf15e3c5cd104f5808.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16ef22a8dd61cf3d14bd6c4bd2d545ff53766211c783fef94369ebba1d15f1ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16f029aae95e971f7c65ffa8c8a52ed15caf7f813ea1d9966d962d857e236e29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16f5717389b4df5c954566d923220a5e6e4aeb0c8ad16cfcbdf47bf210739326.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16f758a2feb5d465d6a812557fc4edf191738977c4b1c56857df03f48a5a6385.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/16fe9cff1f9dfcaea51e3a59966853843b88bf3cfcb57e5f6eab847af4048136.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/170215c791856b31bb3f3b885830d63f17b35e91ad15a1306058985147e60ee4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1703bb32c38cac43d42f41d2d3b1f1cce368021970cfc279e705fd9519f03ca6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/170513e8d44d993663f8e2d997d8fe29b4db6bf92ca4cc91d06918f79e1a4a60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1714c57171dd21778093b89dba96582c9ec7899b2acd10088adb379919746717.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/171df77d4d81d41706526e0441d866da6c8b9daac5fea162031834211886f818.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17274d7469ba4a3bb347998d9d70a31b33bd7d6956cbe848ad18157efcc8eec8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/172c87f635fdfa7490527a7d2d99de02d547348c603ec3ea9042e34c8d15e1e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/172d715d34df463643d90e2f73cfafc594be1714c1a6629fd5a7738130c6a52d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1732dfa834e3cbc2aa811da80155a31e7d23c181f675967bcc8e99570c23d8a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1732f90f27d08fccb1407113cee33d0c1d177c9db2037dca1a1e8faff5d7813e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1743ac2ab8f9e3ed6f99b4e97eff6c568aafd98a7be0d78347e8d30a9f1991a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/174bc80e3087638eafe1776505666f7de2aae3cc474af4fae042fb673a1b5af7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/175247cb9e5f7e439b0c814fa22832eaf8b3c101589d39cf18b41f13b3e28b93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17568f99b955e67d1a3914ca7626c8813f87536dc42a13617f815e259d5221d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/176842af355bb2e51de87d20cf8886ba977a68641c04eadda7abe7c1c47f1120.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17737181f588ee9f49783309e8ab0e246b4358098e29624a038d7f0588b21322.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/178dd72a9cac858c4102e6d8dd998c0687856f266b26b56dcf3a4cb6481f83a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/178e6803137bf3e1ed81e6808dbcb3e04532ea4abc257ca85af3ed8333f66cb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1792861bd92e5baf300cede109ae5147a6d259a23933188ef43989fc7728fd92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1795bf8d599bfd6efe6eb2722146da2da9dce94528b34c5fa0b8e7db417aaecc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/179b19550f3a31264697d09445067313957a92f20edd48bc8788b6958a157131.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17a28ffc431033823e45c0e3991d9c8fdaff396cefc9d13e75e775a6e7eb1048.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17a348eed56d55b9181c1720d7275a18335f054cfe7965cbcce958c076bee436.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17a8b8b3f6aeb5230273e0af7e34516f1dce467072f9bdf18c981ca435117b1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17afbe858c3db914bc2f1c67d855191c8cb9d44e881b6247d3c1a391730fa3f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17bdf573cdae33d07e45eccbf9a04eb6d0112af49748d6494a6fc8b631a0454e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17bede462733cc99ee3992035181e88fb79d5a65dd880907925225aec7ba9b2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17c74cd6ee43bf50fb50c72b17c906fa6a8683a9704f0668ff73f5c047090ec6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17e5ce7c79facda4805d404ecdd0bfce306f6070745f6bc9a5ee0c0537cec3b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17e5d533af18865bc2f5da0f06a55e7bb1797b9f71ac8e566cf47060ed51b29c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17eee960803a1858675b06a7542b1cf42d122742abec204167226c5abf94baaa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/17f4c6ed27418efe768967eff659f5b6bef174f65d43b199074c0e781d11942b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/180603ccf8211682632001b5356b3fec8a6b4a7d6d2c7f7b2e8eb58615fdda5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/180e8b4e9c7b9020ea373b8e453cf051e267b9194394475135b51fcfca517dcf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/181488effdd0b193420b618a83472d99ee18f76fff872ecf9b83b4e563bedcfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1820e54ee9c0c35b8248b3d43e32986b9d186d80f87466a88f214ef692a5dd44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/182a2f90d4a2b1f82a8efdce989c57db7d70774e7c5a0c902af3cd3bc63d7870.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/182a6c2da6b38733ba379359ea5d97da52e9fb3ddf2295ff0aecfc65fca192ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18303d62a3a07aa60b7a89a83999f13d0f3fbf013b075ebbebb7fc8060e5adb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18377953ea9e80e2e41f164e3494f8b96ba241c1650d4527b6f2b4e1b3a0b2f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/184471afe88a96540f9be4903654121c9f29c9594ae6475b68ce649d680cfcbf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/184a709d51ec190daafd718e7ec459915ae651e565a109f9e76235853bbb13f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/184ae7c6e462940037c307694d7285fbec2dd6da729e5341c16c22d100ae10ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/184e3df7e5506d4ca61bbe1653fe708a727da3074fd285878b6c242f8b54f034.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/184eb00a560a56eac969124e5486cba5768002be51d39b8dca169af124ee5d38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18529dfaafb8faf65fb46bb88ed50378fe3cd2c131963cb3ce5e7a7ce752f726.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18540b4ba08e1bd7975c52c4b54076e5c399e24f409508b678ed386d08fcaf36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1868a2842a8d63cfd7d2d7a48ec375c5f1ff75754809b6a51d7d2bfbea9d99e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/186eef0ee9c9437a7370d52e0fecf4e37c72a8e8854379428ecd0c0b14243d79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/188030eadcc48a4d5849a20a3b278b741f5247ce9985a4587e910a2f36c149c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/188f08b721fdb9053ed0edc4f5b39dbe527d7cef57191cc4022b4a0de8784f5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/189ac507d5f38b3d8cabf5a94afb52c34938d02d361df6228fc394a321ae338c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18a2a11045953270ce39377056a098ccbba49b1d649b2b6099a53605c887ded0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18ad0294f56110eb7b621744c1c112d067a8984c34f244e4ae044b69a0b5c531.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18b1e7fb867fcc75cdf130b3c78ebdd7d70d29524d4c9a5737b498187d0dc511.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18bc8804df12716a2c16f9285d1918ebda99e7afef17cdd79c0a7f4fbd25d72b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18c7a71c507dd1e5d41cb935b8ff36bcfb0a75e8407e08e8d370e8b69673f497.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18d5dd8065a2ad35d2847d2a32d1b80ba119ea5b0b6813e5cd192d062f0baeed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18d6af17271976f38b31d721b5b0ca20dc03d0cef636c10f5362a69d883cee6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18da4e0165571837f063fcbc4e2297a168d98ce14d548d5e5a5624826843e00e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18e898c3ac8d21fb4b3beee7397b95f35410dae955a7060c7c80e44f802f8483.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18ebe145510116f89f9c1ad56451c3d4ef9e2c8dc30fe26c7ba05e63a99c6e3e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18f142d91f763f4e38be9c335b2f4947131c6523c467d8c8cb6e4d86d204596f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18f7221213ba1f88c37318acb836079f6dda5b38f67d9f400e9c82c732096bcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18fa1ee69e409066832bf885d5939ae128e65888635c0fee3ba2c24de34a4922.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/18ff01aff352d6052a0974cdc8e48dc66fe96f542a8cafe5743d4192c52ddb7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19052f6d4f01f7ccacf44fe244d19f989a1c38ef64cd999fd2626fc1cd3bd79c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19067fd333eb9ae82ba4a6ce545e24d54e6f3b39510f9715ffe4773d232537b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/190c6abbf4ecdae7d016debccf6b689847b2f9fd7fce942254fead26c19427ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/190e94a1dacf037c25c46f605972193a5cc4ef4ba908af99b647566e0db1d324.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1911927c4a9388308af40534e30657898d6598b414d96730ca60e2d620683667.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1913f273deeef14737acdb64a0b5b3e0e8dc81b0408f00e282f9503bb82cbb3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1915395b2122d7973e773b1691ab7b4c9ae484826eb0a6599bc297839e6d60ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1918eafe3c44af8ee79ae4b2842da61b337862e63a77410c3046d6be2cd256df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1919ed3d2028a3834f9c3274ca9fc27eca77df7c7c00815542a6d57e59344398.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1920759969f369889df280c4d322aaa16b3defb984f2eb5ef9515fcc27107bc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/192138ffbcc3aa0f73f9614343367d81988c2acf40b9e3811d93785500124140.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1926e9197b6965ed2fae1919373b90fc73c7a05fa8bd43de34aa755cf78017d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/192aaf4195866cc1237edd1c59be97a8605d08cb181b5b892fd2947f1ab5df8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/192fc3c5b4d6ad0bc3edc7f225d9eccb36b17bd38442822aa79ca660dbec3450.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/194b06b01d279cd96ac87c89e95df128e58704216a887c682265cf396e8dffd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/194cdc6cb456f3996787600e1c45a53e8b36e42b566e2f126df500a69aabcb35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19620ad0c71d8c2fc951569e6731190f411ea17844d43994fb318f8ea6a0ca82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/196210f9e3246b9355ada3204565379258622eca6e9b4b9bab3baa7b26c9df42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19768e81977bbb9203a46bfd23c31c7500154deff26422aaabc3f3b7eb4e34e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19799a82a312f856276aa3b4a14d372d4c6e76a91a514e15a0c2741c265fe90e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1983d906fe7bcb2fe5b3d5c06b5bb0c14730d71edb13545d9e5e073042536589.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/198868d23162234db47ece5ce9305f52e07d07197b49c754e31a8c90261e7603.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1988cb10bae99a85610c2c16bc2303235fb72e60df6355c4eedcd15766f76e10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/198adbf19aaedec913c1a03deb5cf3cfca894d7a292575f3f3401a22a7191d84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/199ad65603cf9cbe6271ce847a4cc3352d6ac6a0ca24b85dcd8bbbce768cbf33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/199b0725666b5f413d9b37898d07db2d74131d05f1845290c9003db82ca79ad6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/199c8efe972b0c609564e2d83dc373f852f2ff5664ccfce28418cd453ba58fb3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19a74ee12ee83ad9edd38216e4a77e505086187f4ba4e04ece060557a2fad496.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19aba5598f08c3a8e3ec948916e29937939427240c7c1b43c4c88df3d1038f09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19aba96048c37826995f71813a228d625ee86c5b0a12a23dbc13e7d780beb993.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19ac1d6a3c1f2e2757ccaea17cfc555278ec542b09bfc9aba7b27c819a822c88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19b13fc584576f8840b7093ca3f275fba84fde7ac2c81bebf5ed2f917ad1e8fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19ba22e7d0950dde5141aa31c26a2af8764dc920c36743f49b09dab471cae0bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19be6f662f8030c2d173e166ad909a3c9dad276bd0f81b67566835460dbe774a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19cfa6bc30610a247e6ef34e3bc2569be3eee7839fef1fa175376ad754a4bb48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19d88cbf78d3e009604bd6df2a5268d50162dc214d718412ca0dc4186b23c675.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19e286bf4edf1a093544203f9a2aeea27e6f12e1a9f0e38784e18adedac89287.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19e806aa12b398a106ab3437063cbc9a4b1090a9542687181bbd3f552881631f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19f366e1816a5d9926d90c99ef9ff5ad0480ca59002e1a40479a29d7a1c3112d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19f9ebe152c212c13ec78763ee6ecd15dc27277f3dac2168d2898e98366c6dfa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/19fcc68e8d137a0874a9adfe98146811773feed0251b9819c5694f06f491eed6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a04ab20ce2513e436d2b85ac67abb161148aff910945001bfab1643e6a0c70d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a173f4c311d0ab05d60e6c246f1f772b7f1a1002609b48627c74b4343467ccf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a21f21cc4f5543a8f27ef7097aa346704ce74adda3ffd7153e1cda523d4f83a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a2f815ffd2433fd61405709a356569582ccf87eeb9b3146662fde06a082cce5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a3148e11d69f11d736bd12023f8cc3d4cba7da72ee4b22085675ccd0d1237c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a342bb0266f629c11e3ba29129bd367c8afa2533307ab652eb3dcbd7d341a8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a379962023538a0d5b03a1a2c9b64a7c916c903af288eb9f118d40e6b2345e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a3dba80d9f5cf9ca551938543c6955041b968c1e3bc540cb3ebe156c9ba42e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a420616793735aea7c9e0fe3b6549537fc22edbc04b9a451e07dc5ca9a8e7ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a59e55291bec0e7678fc6b9420328a28fec72bb97b21b4cfd632dbb31c5fffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a5abc8aad265c02bb6649bddbd6fb76d17aba608062cde151a4515fdecdee29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a61b243a35d1b5e6ce5f59466f2bdd9a87479cf88bb8e9fc22d35f987c290aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a63536c996f8f076a9b8afa79377f0a76d9fcaff01f08215d31f46880421f1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a69301808c6bed736beb02ae7c719e310ac830ed043a7e1eb12a67f7668d6d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a7883b3bf28c01134cce12671b8a6026965cee5867f9c5c7685553aa345a497.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a846719526e7f3988be2900a0c66bb26a415009842bc842fd1b3ccb021eea95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a870d8e2db9a4d8a442d1d8f3c3c7cfd486ffb7b47ca03630c3192a97019fe6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a8f14fa6cdd838d05946421e713567c71bbaa8f6b4ebe5c62c8db7e0be87002.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a9418b793b42157b6d55d0d5be21ba11d9794aee9e465c79048262b54c6653d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a9484b3f70433f4fad06cc31e7a92c4b4ec96edd078bf200cb19ef7c217886e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1a9d732d31b98b07e29b40875ad3bded6cd07dfb9745a0734e7ada09189a64a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1aa84fc7b1bcbca6b05b1a618fddd5822b5c11e7a7a016cd533575caa31a5612.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1aaa0069615a0375984b0bc26ab8ca7b2b15e2beca0889fae1d4f16860cf0894.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1aac4073471dc66bbc4bcbf2d95a1eab7fa6d7a4734a671c19d1c2b802e09394.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1aaf319f771f7b8e87dabbbba072dfc4af1cb96a3383cc9f64af218d6ee6693d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1abdfa65bfb78f8767f6d9490001686ab3f3a784098b0ed91662f365215a4071.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ad2cac33057b988abe726e50d95e2cf14bdc0578975c162e5baa64032b5402c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ad8bffc44bf16c6bc181ed11b93ebd207afcaa3447ed413feaffe9f212ae32e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ada3bec974e9f20d86f356ca8ec969c916e5f0d375070eaff739ac516edf97c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1adfd7904b167ddfc5904af4d7363a1c8c400e62b6c1f63e9cc47efb8f075011.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1aec37e7be3a82f990de5939995665165669c9ccea663eb4d1a8e8a831cb8ddd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1aeee8010a48519ec3bf7972c242dc4e04978e0ec96723b558303dcf28c2c671.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1af012fed4961f6bd72d653a6bd5dae4686795401c3ceb6fc861d87fab132cc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1af248c4d984c71e930bccb7f9de8fec46d6b9b8c562f3d5410dc3df487b773c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1af52e1c2da747c95f8fb6cb36dd8260aaf27ac358797e4039b0c803c6b08c98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1af74c3b39d423007e2139de3c5d6720aeb4d705b22366c5b3e78d7dad2211c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1af80078628b4131dd3e25e89bf29a0bdd617707cbc89c98e220a0bac526ac92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1af9ce4118afa8e364022670ef56de959c949f2842752838e5e02f417ff252e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1af9ec5fe11698ee3cb26e05a51508137c11fab31b79862607d1a81467950072.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1afac59c94de041a6ab8cea53240aff11886d94b63153559d24851c3c0b55353.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1afb044b71ce63509788de1ac858239c8ad3734bb54a8fb7a8ab5e99c5d0dabc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b02fbde118c1371d9ecc1971f48b34d286470f472c3a6399d05ceb16738f8c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b05f217c8f7d49ae772f34756bac348b5fb1c1a9c374f3366153fcbd060a21e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b099e84a72af564d72a3c1a216102282a9dbc0a0b4a5d7eb3fd7274d47087d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b11b895cef36994e7886a149842235eeef84ff83f11fa453e95d5a7d84cc824.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b158f0147ae648804a3feb8001b06043b6fd5eaf9f15790c0689081b15f521f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b1750a3c14c4d32924ff974db3678ca1758567ecb394b402069d11be59e5144.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b2401dd18b4f9a535254df5034bb39ab048ae789f484aaa8a9c68f30333385a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b3b93e2c838dfaaef32e5869988e0dfd868fe7727d09ca214336a9079c8f331.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b4610b1ead9467ee08a090a061424b7ae3d26bae02040c910ea3996017afe09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b47c6e561bdf54bddae29945bbef8635224c9ca594ab5da754762828116c8d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b4e6ee6939233641b23a2b5db3de55e93b04c8e23d25ce32fd323713b4542de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b50ac96e4cbfa8688339063684015b488f4cd53b5e7d2ed0b8786421ca71282.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b53cbe05657945794ae23c342d0f84178c75e8ec402ebccfa7bf229355badb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b58eea063b106c4c6a3844f629aab76cbbe671ce30acf2aff8df466019a6ef8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b5c472e0674756fdec938cd3a026d20b31ae660ab3488920337638c9a903bde.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b657abfee103d40745b57241b51dcb5905d0a91e0f8c741c429eef4392c0c41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b7528123b589b0436f1f12c43767dc626e20cae1e2a518d4ad2cfa494934e17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b82c56e0e77ad942fa9ffd03ea8e5ac19567fc1bb09137e9dfa93820e588c40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b8f681c95453c328cc3f2a35108042a08990e4e441af6a1201efcd0b3895780.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b90e6bb4620f2397d5887a2d7acc5f57dc0a67ec82888193752da49341b2843.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1b9ebb82aa691bdf8a0a59ec3d50c578e973ab689e792ea2d424c27a7adedb4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ba34c5c76bd8a9f382875999311b0918feaa53ba4fef3bf88ce54234ab5a76e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ba95ec9034b2f431d5dbf372fad5fef45d932ba1faff4e88b52f75758179623.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1baabbb5107ad5c94f67a394fab31d543630a3e86d309e4540a1a8a69f653c2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1baba885283ab54d457a27f3311b794acdc37500348a0b0c0cf7e0f32572fc82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bb82424f50e902ca4e4b5b1cdfa90adf8fd0f227244684d5a445258657f7a73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bbeaae954a329990fbc23ac5472d0b67b1cf2894efe06cac9a5be847004bfeb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bc9884415cf0dc8e88a966e5a65055dd6ae3cb3e66b39ca46605850391d0b4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bcad47dc9fbeef76a3675d84791a4222627bf4f5dacfd5adc189c701e5c424a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bd8e8ae029a6655e7f38122ea708164802472c773431bac542c33e8e9cf7a12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bd9d01adae90e602308990db27d53ceb3de2af0c0dcb7ceabb96d0ba3dbc2c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bda0bb30d2f504cd6ba62676f76f4c5b7b354004970d6ef313fe31261f45869.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bdf2e95d3c3d25744947bedbd727aee4c2d610528218ce9b630b8b30d6a1317.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1be0010f1e3c2a562595800f2e2c5cdd3e4bbe85f5f1b219808ae8d327a59c98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1becbe144698c8426d75dcc9906fe855ce8a9d95aa8388147de34838d71d2f4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bfcad2037bd5d47d620e68e61897b9b3c3709132ac3c5c6c7744a477c6de3ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bfd6cae3f06f25a62987289eb032b4b54dcb8c8ea333de71fe2f53459c25f11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1bfd7583a2d05739656da9d383e2f8cab20ac6bf1f4a62f47c75d885f650c60f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c017e532d08f7de1dd9e83499ea44f26c062225a6f7a0a5db646bcce99b47c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c06a2ce67a3ecbcd2f59b11401002114a7348d0cfd31cde74ad0f08cfad520b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c117877e394517a8c9455a61281a8df99adc02f45842e5d38dd1ca87cb058c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c140041ea8236064cfe0d4cf96be7371257c600609e91990a2d88d5fef12f18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c15671d320c1f9cad780afa39ac57b7aa41d39790ca54a8e5458ac4c663575b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c156e71a818cfbf06264106054ea0d4a36f3a8e011b8353638ff66597d36bdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c1ada58f31cd3c25ec112b2fb955690cbe3e966daf9475a3508310e534db012.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c1d7faca852497d1e527d813b18cec198da3b2d01637aa1efc83b54c8251418.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c2733bd3d89ecbe6d9f3dcbcb70429cd29e2ce077e888953a0216386cd07a83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c35c17b59ce3721f83c0630ccd57c1936253a4f52704292137345630af8a331.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c3813afc9a49f11cd51723d47da5d63c761c822373054ccbca6b33e4732e2ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c3e9189de330a1291939a496753268fcc54c1d1fba8ff46fd4f13dbf67ba832.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c4aa4bb4b6a8ec10b0ddc89b14ec78068bf7205749c1ed7fa4762dc9a803b7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c5ce5d184589aa54f6148763e0b953cadc40a4a7d4bb63d07e204040cec23d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c5eb87deb9b3902c6924a99489a0314706c94da9f471c1e83954732ca44e627.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c66d2978e4290e290598b99846ec39d808a5be56381a444cc16ee9f798eb269.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c6b09de145fd5abd6af3dc6deeb92da6d3e7ba94b6f3dc32216001d59a6c0cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c6bc859ed6e374669c1a4c9c8ceced276df80150cf1c7a0e0ce539f70c5b4a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c7e27bd763276b82db1cb2727214f3d4bfb63eea2b8e01c7274458bf6a541fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c8261c011720c63b7a97278f13efb1283462123822a856d134a047287108efe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c9666892857485590bd143fc9bb8bfdd428c2beeaecc4a23da29c2d75e67ec1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c9abb9afe91d1c947602d5b65fc36c7cc71ed6d1ca7b69fb38a1314ba9cd4ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1c9d9902e7f115288fad0f2e9e7b05cca67d089738fbfeb3a1c3978922308d88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ca5a34e616e69f045847d0980f2cb811587c8f7adf1056ed566345562e1e23a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1caa1b65c5d4b61302fe209857fd585c193d73ec7e3429e3734b28761ea5df78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1caeafa398319a7f6537c35175ea80e132c1c712821854bacad76ac06db83c25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1cb1c2164d04e5205a6f42bbc9d40728a9542d6ed7722a5b75f8ada97fb39772.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1cbd610fd429f88d264ac6560148cacfab3b3a2293392b2d8b399061c82613fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ccbffe5cdeffe518e34353a0ef76a135d8e8e90142237953df464e7160ded25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1cd96ee91433370090e3ecd42277af3adc64b43b338f35fad45fdbb5416ac4bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ce300040afb5efd93366b494fcf1b2e18368bb57a038e07f8dd05ced2fa268c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ced89b5befca174145140367217fb7dbd38d407938c8e3e59caf0184f428d9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1cf09cb47ebba10a702cf5a5299642015846668407938c6039292ee6b42e413d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1cf2ac79572fb1cb31df17c359070e245040ce126ddad863bba58607376aace3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1cf56f1cb2c7170b5f191ecc5a70693caa79b929ec5dcc1a978ec84c9eeddb1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1cfad751cef7bd39a6bd504888711570643c7dd447ea4ff118477f8a02e6fcff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d0cedd67352693ed580546fd3864f871641452bb34aa7e28205e46b3f86b783.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d0e62721a3b0fa28339b2abdfb6700ab73261610f2b1e7156ea1a021fbd030e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d11e6d59fd39f6b226f116be4c2f53cc7dc3071f7a36535e981b88c9115a960.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d122658f40942a8bd76a57acdd446cb606360f81f694ed92bc124d1745f9a49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d189267f2b139d770f3f3a22baca32a596d5ee8bea2bf82f90a5c5073719841.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d213d37cd994f64e19ef92ef16832c8052f9f6b491dfaff6c28070f158dadca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d2534d1eb0d6ce82c969061055c382f4bbe580173325bbaa6b9420e082d5c22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d27182110e2c08fdd4fb9955d74992491f99ddac92e28d30f43bcecf46c6e14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d36d9410d7f07851d6b2dd1539febeab6cb21be87c9a52569904c3f530faba8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d3ec6c3fa03b49fae43d2b6cdabf3a399cf097f14adafddbc878d243ad3b1f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d4c974acca7ff5547bb6ba195cbe5f79815b71ce232ed71e877b009155808d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d4e280f7b3aceb5d48c3dc2a098aa23f1200417025e3f10a1199520af8e51d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d4e98e61a091afb10708e8532994738faec5236844a7af8f6e33c4a52bac8d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d4eecd4f8e042de63ab7437ccbf569ead7c1e40d565ab044c46f7bf3be707df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d5c1682975879a46013efc57f6fb8986f8647924eae6a797f2e18ff9f01058c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d5c590f9d7b79d3766c45390e7050a19b532fdd68b6759e33e8f3927ec9c7e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d5e928ddc3e21ed5190f79ba94d93565f024e18e09d455206ae305497e5b13e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d66af53df46400a4a5b36da72e502d86c335c4e54c9dee941e096ff2190bd5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d69e90ae3ed08aa1183ae93896068caea90a53f1cf734a0c3bd36365dd5be5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d6c42e52919988a749bf7f8307543839d2e0c60691abaa85b9f494e446900ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d6c48f7a0dccb526b5723f43a54240d7bc21ca4fc18e21476032b9ae362ccdf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d6cca8aae3ad4ec9a4bed171a36fe7fca5f11dbbc3048811df3b8a661aa38dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d7b0a6c94f9af51687eb2c85b3f2821ca4a8c3f480c4341b8f85ee2111b1dd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d7fb6b2a5cc252cc2a6b8a46779f1b14a72b948961ca400888f9a0978f1fe81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d877588a4ee02bfaed70d39425a2bef03b6bf68b1529b6960a71e1bb50c7292.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d87b7ae6865d9edd69f41f453a3789d150e6595159bcb8306c654bc559e8f99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d8cd22eb3cd205477b49f858df610333081894674216893a6fe00502fb3f062.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d91c1421ca5b563dfcc78b6d97358fdcb71e65229f2dd35641d6a4de5912838.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1d9843d902749766ca2271f17b450b5a853b1e7e37d6659ad1103111c01c7a23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1db8c9529e8fcef2a3f41520773a3da762bcf11b62fbb5daa04e58c9d42a5ee7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1dc057e144992c5dfb130627ec273aee3ca25a990055ac3e05a6855aec36e1a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1dce87e44d08a4ebb2223f5d22e1e843bedcfba6a46861fe22569ea4db2c02fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1dd2bce47b8f0efdd1ec4f1c2a8fd990dc0d680116e4cbd25ec0c7fe83c760cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1dd4e8c523c1439fad0d1b5612531143c9d74a8a15a4201815b7ff3a36f884a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ddcb1a41159eb00e5e7483afb8402624bfaa9e7cc76d0437cbd3b5ec79d544b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ddfc60bad790e77a62587092c8b02d9ab43368a4bea73a648508d341154b142.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1de4eadbb4ba22de3853ce1d077f2df85ca541bd19c5a8da575cd1728f1e1db3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1df031ec81d92ab0a74a416248c851085eae3055f1822a37dc26c53d8f05f9e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1df4975e321f2ff57356c6049c9a08398e238cab619e0c6d92caa955d25d5a46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1df7c30b4cbc5bf31b411d1e2159f863e2fdffbc08763e3ecb172478ccfb9f04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1dfb5177a291bd65210d20fd723c40963aeea65de3bdbc356a5714b09633097b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e18a5fd76eadb622c86323a3f33ee2e942ae38a1703dd4e67e26437e13b381c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e1f4e5e3ca91f2d2f80dbc9f3050415864f0383a510f3fbe16b51ee1fe55246.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e23cb740f405a67b361c46ebad96c97d50e8aeed3745a26734e87cf24f8f158.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e26c40bd81b9a4eb0b2d71ea8610ae71d24152ac1f917fd04bee157cb33642b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e28f8783b8ad7ad9677094c9fe76713b30271debb4ea451bef65e3c6790c311.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e33eb508d9b57462e4523bb40923693dc3f74776eb8b433ddffbe0676d92164.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e347fa3156513ea993ec1cb3881016b9dc8bf5eab0fc15cb50de5ac01fbd900.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e3b2a81470fedfb4c1ac573f246828970cda829b996c149733bd44a95743b08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e3c2ad23fe0703457589d6ba7145a611a993f98be040b962c807d6750301bc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e3faff68f504181a3d4bd624f5305d3e816d473ceb7aa06f58e39d004a0d760.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e416f20083f0da08f44cb0682aff1e1508c97f4fb0d6886056824f8da1ae3f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e42709e7bcf0ac1ffa0b16c9225193c4130a6605f023e2ebd53cb043a8d5b97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e48020be9e114deceb9bb137f6ed965730932507cb9f4e97c05a4be410ec0ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e4da71e0269343e11ec644f63706fa0b2ce6b14cdebe848214523906ca5d9d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e54766b73a612890b62b0a0b4a2762de238813bdb34c3d327f3cb385faf18a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e61a1576691042d2d2ac379b0d21e804ff575be7104cf9024a35e54ff8bcc97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e67e8c692fcc269557c867b115564d97d9bd6f0410f0a5d7fb156484fd026a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e69e2858b4e9d63dbc15ff06f9d39277cdd9ec808f8b901a2fb51cf977a820e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e6a3d0e0dacbcd8099d4fcde8f5a57e54834d0b306ac970044632e908c18f41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e6cbd95ee9480bb391ff505e8edf4a960fe85866e31ec7f59def53f34082836.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e71658e8cfedad75d8a3e7ad6f945d5b83e034818c1b8af1c9378ecd933c42f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e85ed1ad6940de6534bafe85a3694acf0b08ef9a3956a44575d38b2ee8df3c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e908707d67c29fe44898c7b31ac1855bbd0d0b4891c4f3cf9f7b1184884c8c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e99370152ee60239a2401481d65129fa1afb9774174434e3cfe03cbf28db4c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e99ae2d1b1e49fdb6cf0a928af065de186ce79e5a46be611fa52e7314ae890d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e9ac19263e3a5ab12541775b1f378596063593095aebcfcacd8afd47a5feef9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1e9d7e06499e8521317a5c7dfc65b21f8eafa6eb277c220ef6956738a5628ded.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ea3288fbd4e86f0afb626311a413764c5f88c732c7447e49a3cf5e124af7121.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ea6382b436d13ba28cfb055aa62173dfa9a087a17cb75c81c268b8fe506dcfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ea695ba2f110291596fc69fb955ba79731e036972acc14640332777e1616e48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1eafe69477425e509dbe038416e4ef38626a65ff34ce610928874d495d55a1f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1eb6baa6249cca5dc7617ded4f4049ae300ec3e56e482d699522bb14fcc767d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ec32d5af7095ed34987a0dab4b828fc9c54e47594ad210feeaaa86b10d888ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ec905c770abac05cbf60a00ff94ec7acd343c723b52513ae340b1cd0a0ad71f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ed9777b205ce8102c00e00865a509771edb065db176390d1464623d726f31f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1edb10bd5b028466756f568153562d79c9f61b9142f0a149bcd5a1639d744516.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1edbc748f455fcd7ed140acc64d82200abaa98c39f2e684678478193ad2623f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1eddc01c0f194c2b3c4a39501b663f5c43f40254bec456982818b43f6ce490c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ef17bae8fea6022a1a5e576cff24f330baeb15e1d45d7e0dd9febd94d0f8b39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ef5a710f15693e349cd1481da898f9a723ce9fa6ada2dcfced12f9f67226adc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ef71fa2111245fa5240ac5c4cd7d7e98768284ebb80c65c776a0a1ab03d8373.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1efefd4da1b93434c00c146204ec08b2b6cee2ac4854041b77657f78fe80148f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f068e6ad6a3ddeb4bf62a56bb4c15fb4359a46b35fb614362bfc03b9a20ec9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f06c3044d45c7e39d5903e8945766583abf85571a57a7d7fc8fb15bfd96ef77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f09475d9b7846b0913f60f6beb1db7f5de03b8bdac88440732cdaf31577b672.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f097d018bad336c2ee1c374bec695cfd550a784eddbe67516d18d435100983c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f1196a12a725d15f969338203aa75c192aa00fa6b961494a9772337bfd67260.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f12b4c3a2bcf5044759d00349bffbba58b6af2f63b1ba2c7ccd9d13a1576c22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f12cce843cc1273a9526082111dba2ccaf5a90cf5e8eba052b7a006c7d66434.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f1481fc7acf29f09ca500ec717afc41d8ec231ace136ce6ffe1a8c5fce2a128.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f1d85c2ba80e6a9283aa3f457e22470be275495b4159041e5222ae3d04908f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f1f0b15310172239a5a6af3f706395fdb560672deef240b24ab8e037dd63452.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f21093590d755def3c3a2d66ccf29e5bd9999d86589d687ef769b6fce3b23dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f240e3f335a60da17125ebd5bbe7bd067970fbaa8d3f5a50a32d9adfa5b0aec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f281a2f96d4547e216f506d344cb574053c0d1d2aab48b401a927d5b44ac49b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f2cacd4c82f5236cda3075f4ae75f9db9a83f8a1e8cdfadfdda6bb91b38326f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f530a3171444d72bfcc8e5eb415e93df5176a5fe2763a17203741811a496414.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f5e24f5f2168f8dec61562e828e3e89863ec4cf047fa6a75f22057ea9913f9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f6157e350efbe553cb7d85a5f5346d558eca8a198f8fb002e88070d61167688.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f64152c8ca0c667078f91ba72462ff98f0f14d91826550a74a1dcc708580a08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f643b6ecae70d7d047f43b0bea39328280c97641ac0de4c4947c6335bfc05a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f64b33da22ccafc036b108994dc015dd19b57739d96d604991f5789efead961.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f6c525c1c9754e28d7a36d12db4fc1ee96ce1b08a84f1717d63d81507a7d8df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f6d9e67d28e86ab494c6af98ccb9844fbb49b70f275b7a0915a5edf27c32969.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f7174ace95578c861d9a22eaf307c773c5a45dd51baa66159af98f2161a6a9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f7230756a4aa569d7dfe29cbea6e203a795becc0c330862536dcfbf62323ff4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f74871ed24ab83b543481365aebb9c007b96da7177a523cfe346eaab6833f6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f788c3c1d53afeaf8e552f87e4fca3e538ebe5391ec3070cffd0db35e2d7a74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f85e1b423780ff306f5bf8d40943aad9feacaa7d0e53fedc15706dbb7f0ee26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f913586ca54926a8d3a3fda807b30e47453933adbb8004092618b77050ab4fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f91e77588085f9f890b69b8454d54681b90b7b621e090dd69acd804508f0f17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f940826539b9aa0921dc15887a9a03d10633f0d6a3130e786f54568186b26eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f96aedc0ecebc3ba29ceec2aab600684127cfd9c7cc7e9c2a67e1a84159df2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f98d68db98e138433329b1b1de5713100f17f0252af14fd180917acce091925.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f99773a003fee827e16ec0c7c1a56623ee99f5449bd258feeffe6c62903db4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1f9e9da0932ace62a2d59a92501a1369a86e9d246951441e2b82bd92ee6d912c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fa408f49ee1b1d7f5fd168ae891a12989071c0d4be8ff2ddc2f925584ace7e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fad9bfbb88aa983ece033348e2445f5b6ba5ee4bdeff2bd774e80c8327b9473.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fb294c6710941989c111b25db215eee10f1a2d1ef10c0c1c7f142280a8be300.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fb760aabd2c86ca96392d6e979d3ef1e63c1974932253f1be401107acc088ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fba86f7dfd7cd11853a05049a51efea0d1122f08148c83cc7c280af68a5cb59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fc34b4e895bcf7edfe4a592442d06a7f775b58fca18f81f0eed2306281ee623.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fd207b7347530c7d7914fa662fee570bcb90c0b1cbdd824d8095857f6c9e8f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fd52889235444d8d68f7dcb3257e677f64a5840869905bd9dd5f96caa719422.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fd8cdc1a6db8af2ec0bb3d9748df0258880f68211caf78af1d6ad3a844d6dec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fdd30794e00995495764877a8bb2aaa1445cefc4420c106d95ec43c610b6d14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fe118775bd948e094c80f99d271acc084e9add5a644b27d14f1b8103fc48706.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fe2744018cc18afdb92760837fa73a0b524ced9bdd92b9dc92e36bec2fbac5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1fe819e9c9009554cdb9c58f3b329c904fde0d6ab6ace5afbe78ef951601fd15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ffd3bbf6e86e29a0d04ca4bb44357fa8eb71a135a4453b1db55bbda80099d6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/1ffe8a8f84d392888f767457cb07464dd8ea1b6156d391d9e400483639372c6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20012922de48e7ac002059164699cf936ba55e34b3a99caed0eba194b1a90458.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2009f2088a4a64305d93ad01ce71b44a5acd220e9252846a523edfc3fc625e0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2019b12fdf839d14848e1d4d7ab796e098025919291fa5bfe3f09f19c9e9ee53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/201cc6bfb5ce69eb007244347204a1d5c25b4905318e9df65dfabf998ca35027.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2035166d20be8eb4706ac88c157dc286a795e29fc6fd352cdadcecf186934153.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/203b911c697c9097ad61eb2ca12ac3e998c86e0d5c852866d6d50f7813d17f4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/203ff2bb14ee1952ea524b6a5c2358c71a002bf841f8f27376d26ef732e2ef98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2046f1d846753cb36663871450685ee07084207b82b84788999844e1b07b3c0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/204b7ec19a57cfaa72b308beff18e4f58b0e6505ff5da77693d5a1fb3529b4c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20529b61dde10a6254cff47763dc65256767877143291f84ccd6372174b764cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/205460d647f00ea944d99a21f73341d5a5764e8fff567b63bd243dca3ea664dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/206024193dcb87e7ab863497e8b4e3a1964cf2b2268d51ba59a7ce2deba2b2de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2066de4632eaf25dd3f3362cf7b9082104a46175c2a0d56da4ec275eba3c72e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/206ba95caa1b535e4bc36dcf6091c64fbc7c0a122e9e1b7676ef1586c9105e75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/206d3d82840971a0118043c950c6784ca0cb0655ce77c80044c27ca91167edd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/207404e15ad6bc690fd305167967360c3c207794d37f93788a2f52666deff53e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/207b63dfdad5a611fe4bee085d87dfaeabb70d5e4ba5de3086ecae3dffeb1e31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20858ffc5c3fc3afddfc721409f9a16b6f5d7d44fd2f394d5b9c3c96bd97cb01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/208966e77cfe8c1ca696e17fb2b56000855d243558c950cdf4b67567f96ffc0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2098caf1e44cb222c8f5c2175a7acef4446e048af3531db601523337e83f7e0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20a615588f294f6455b04e13e8abf78af180a7ccfcc263d164722465c48ff016.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20acc3bce558eb91bf1bf02de6080fc2c62b610cdb59f81feca6540c36dffc7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20b4f2c5df5557c4b9f918d55950964519070a8b26703139181a1fdbf1640515.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20b5ff3799559a80fc880f85d1b9786a8b74c86c7a2e8aa311806d2a812f0821.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20bc0791f9189cdb42a2d60333f9e86fdbc09eac31c0283e957be4d90701780a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20bd4968d7312096473c113db98fac59ab1bb4251035b15df5b2a7943c1a81f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20bdda404a0e9e57225f4d14695910e3aec3c90149a701679927a1504fd4de7f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20cf74f2e4fd69cfdce7c567b546fc66409c089449d266d79715f595c4b3cd51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20e84d387545510497438281d2a7dc3a60f83694e0df02ca3c918458fa69410b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20f2887f201ab13c67d4029a537302dd5f0f34cdbb8eb1b5d91715842f255620.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20f60a3d0168f853fad530031e9b0f4b949785c492a2366340dbece017385baa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20fde57848fefd0a422cc1c6a5e0ff9ac16c2608558d34a7f02d3a03b6dd5781.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/20ff11de1169863b4953093f42fd7c043212e16ef46abfbe36a8832c7318ef2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21028fa5b68ebeb1c543ca09196b94acb22d2b9cad42a824b1defd09c2d38b28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/210f271d1c4c1ad3b3ee7236dd1588241257ebd17d4213f2cdeefbd150810c70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2114abddafe317fff48faa66af4ae20ae2e0eeeb25642affb178555b594d08c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2117dbe72e5d91575412fdabc49770c2116725a8b89bef4de21094eae6be0a9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2119cc85165cf65c226e91505670587ff5338d01915eb7bce8fd3a495a11ef4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2121a041ac5f10c38f1fd0c1f8325f1deb1fe3c9d31aa3e7f10337b3907a8667.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2137f737c591d1cbb598ad730c5aeb17077ecd6bf3045ed1570c56e969d73e71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2138dd3ff21c294a3437f773d851223ba6ea54f0bd3e49d1666264cd74314bf9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21396187d5f5223991000f108a73290deace209019b3c7eba1607fa0dae2ac47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/213a9a152e7a09f68c55029f0d7e54a213a405159ed83b94864c7d87be9e7d4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/213b2e16102d8e7a3ec96caccdbb8147d67a37975d85cd6363bd2d008445b676.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/213feb193560a3704232f55bb9c7b6299e780de2c16a775a9462e0aa4696a540.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2140c4c11a61f4cfdf5dd165703c2f0982b8f673889d86f9501cb6d77e096147.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21419658b24453541caa07fab0f6969eb974bdb60b854056b86d6e7f71dc3b6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/214f6084bed6e8e7733c6da755bf753ef4c0cbb676165109ba14c721d54a4e04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2153594af31f868ea57f540ecdd3fef656157508b8cd57a0e5f622ff4511bb83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/215720a9bb0f94bad62b90d565d867f199016640ba3f2b61620bfefb9750b7d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/215f110d1af4b529a706c4fbd8c986a57b8985788892848a4deedd78e970dd66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2167f63d5731a2ae0615ee5c24cb3daf648835c23c0aba703177f6ecf187454c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21691f8a29d700441dc487584ec1684ea7da018dbdf391500e1db497433f850b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/216bd5f527bbfe073b559a1ca517f1f8931772ac8f09eef0abaf1bfa1e2a3d0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/216ddd7579842cd6bd916e692c1f9930451e9cfe047402dd4ca2458c16526c8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21724ba4f254bd170795f93cb22fa1c57ff860a53d3fb53e255cc0cfcf460907.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2181f7aae6ba427caa3bd89120f4bac70601779de77c75af91e5a07fce2d2c91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2184dabd168c500e1c790e89b2a33987e271fb5add1aaf3e92143d6d47a47e74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2187a871d3f2418c9c76e08a270a408a9549109cc69ec6181400fc96baa0ea13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/218e1b8974aa6e6f55212d89eb9e85c0dfdb316f8db53a70cc46f73ea015e2ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/219bf8ca326ef762b91c389c2cd538aec7a84dab6118c32c757f1091065bb902.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21a176c004f7c1bd3e45536171e082f1b7a2eb0463bddec08d44106228d59e42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21a48a379ca4cee552fec3e0c1eafb11bbb9b57cf6cde2277e23a6806c5fed27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21a5a67b1acb6711e4daef273b65cc46f2d15ecf8fe7e8e2783b80b7ba628967.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21ac4639f2635ae64c5abd47e391482cde7203efeff6789c3d4aa471dae0f451.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21ae1f963736710faddbd9c2c67b9cb0c3eb8adef196670082ee1697f82789d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21bcc8669e87f9439a1c74fbd76a83c34346ad61236888ddabd5c5a867f27b22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21ca2f80edbcbb2e950f131b1040de53885c1570a93d7c4380c950ae5019e23f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21cb0dc3a6a9b64510c163555b8b915d5ee2b36f10132b3b067fce7eacc1e054.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21cfb7f0f55a582cb8ca2cf4afabe479a8f6e85bf002c943fc66b6db864cebec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21d27543b0e0b98052d87ce3de816991ef21b2eb71c496500115f3001cdd244f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21d29dbfff0fb700b6bb83d4a3eb9e1529c5f1a08c6268aa99d3ed1718bfc19d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21d58d18fddd87380fda3ab813568ffd2614d9da96ed32e7bdd46c577a9c0989.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21da4622d273886e0d973993379ebb33892fbc0d4c9eed5df2bed573eab4a7f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21dcd61e3a4c54214336347fefc4ecb985a77d0521267946a5aad83c977ece90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21e48835d9ce0938b2714f1ee30e2808a89f2ea4573891ef53c7af545697e9a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21e77b50a13c78942c2b1b29b2bb1bdb88bfe3fde6fcaa36c215ae05a6fe4dc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21e9d6ed360b7ae7f5db584010e6b04515cf1242f40cdc72eed72deffeae7aec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21f0437cc508c1500409dffa764322c9e68c32048e361f4726694490223d0abf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21f2f1e521444367a0bc4dcc1f6de5d1574911bc974d84b965e1b66197713f31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21f6bb7187e6946035b32b538b9615a04e2e7bac5d0ae788d2e11f1ada421df3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21f8ceda23199ad5f0fb47948860abccd23a67211aa4eefed6a87fccfa35a805.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/21ff1f42dcea0c3c230c0fa23de8d5e097e12e574a91b6076957868fb286bb96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22014343d0f87522cd18039a0a7ac320c863f2f532e689390d78b1a20b37b664.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22061a3c35f2706fd3c1da874f05740d55244ae8d5d5a2ea2e47ccb72ad34667.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/220dabee117157d8d15fce2c8c19615c4d962901d2645d397d3598133890d82a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/220fd956445251a71c823fb81866db4c96bc76fad1cc5a6db7687f5faeebac9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2211aaeadd50e47f72100213fd24c37ca3092854f08e7433d46bf3c186b34b4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/221f1ac2aa4059eed286b2b30337f5a4556b4fb826a660ba4f9bc78aae6ed7cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2230aed87bdca4b7f5586dc906cbc9af50edccf1e9b9914f15d1a63e073b83fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22367ad4ad92c8a96b5837bad1d6b05a6c876c12c54cca608b184e74c8c2249e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22381ece79dc124e02ad1be4bb7eea24b8f8fcc4d0452401b6b5b683770f984b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/223dcd47b62afa491e31c8fb09a0042dd8891b0174a4d92db41f099f4b0c4ff3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/223df7b06de7ba714c19d9ad334936a556983ae7af248ecdc752067fc699b790.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/223f35051f8004fdca6369777988d2fefa72cca3862c5e0120be943fcec45f69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/223fdcf39a455d091cb7d68cd58eacef92c57d5efcd029227366d28a920e3827.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2240554bdd2e12d67b57027e54ba713115412d083139aa0121e43141cb852f14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2242eb497dc37cb8c72cc4a5d8683266b817907bbc799778207a503f7ec34d27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2249ec8ac2b053006a2b05855222453c65218cf33335eeda9c153931a74ca5f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/224c433f66e8fd50e53baa7ff0ef2dcbcbb1a32fff8a68d43a85499bb98b079f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22612efc8cbeadfa486fd7231d5fe0f904d9f43a7a5f9fd5a1847fd9c448900d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/226136c93fc0d1d09a244a08064e63fcc58a6bf08253bffee7ff6c72116b7247.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/226cc17ee014dde121ebfb04a45af6555dce273ec3c7b37597a5332dc2a1bb16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/226fa17ed0b358b925bdb757d485901b9e96252dc5eeab2f4e78b6602bd6db65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22776b2736ed3679cce836447b9664560dff38641a494c7f80a5d5486d1042e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/229273f03efee421179fe3be10eca360522094225c37b4333d25d4e68f2959f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2294c9e13fa24a74876999760882e0a280e32bfa44c441e3f9dfe3d7d424d7f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2296abf56d7a46a1bdf4afd38798f1fa437a3f80578257a0253d2501414526d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/229ad148b7782c79c41ac132a40af9d6d3faa957516c88f8fe3529e690e2ea56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/229cce637b9a0350eaac54dfe330d4e2bf4a011a75a56866ebaee98a57848410.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/229f2262383a464fb0c61fdcb897ea9774c78351f9d76762e92f15a456af7e75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22a338c95df6f2871fba4b2a97f7273bd6aeabbc92a8e5d648ae94883d732155.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22a755a0dfc353985721fff86d78e9f944a74e6b9aaa35d0c2140fee90429bde.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22ac9d2cda4402e598d8199b8b74dde8a040ea2eaabedf4150ddf4584a6f096b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22b086749ebbdaa8057f3b5696d9bfbdb9bb796fc222eeb28fdc31cab83f2e08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22c37b73e91f6e8ed5e07faa3409910846e592099983f77f697628e8df386714.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22de0e4dc32a8cc985a5b4ff702399352cee0036accf9646e1a775c45790d34a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22df146590936cf2b1efa71aafe4f37e8320f1125165b3a38f8fdbe004d6b993.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22e056e570b2cbcff81a95a2f15b30601fe0d563a3ba28dfe18c8e7c32cb972d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22ef14274ecff5b21d41dc5ddcc63d886036c8d03d6a1433cb315dfe06e2773c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22f310551a11aba5574f5ffed1ae3f2868bb0c56197fa35489e098637d089902.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22f3d49ece2585d0ff26f4b993194aa7c8c4c992886c1b2655b2a5ea43b733be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22f7a31c635509eed3b9a391ebce4047751fd731fdc3d1fc096c246f46f910c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/22fc60ad697224f99ce34d8ca18a2421afa9bd34e759b155d5ec558a6c5a92a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/230181c17ecd0c99cbba6fd44b5f8d521c32b5d9f132585928d4be051ef19f66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23032fbdbe22732b5f69d6ba7fb4010bee623b76c3d19e72a78392315e04593f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/230990a4811944be9b2d1544d55a369c9e7be679150aacf378c285eb88ef40c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/230bd4806d81dd8e0f68d37fd0c4dd25dafc202785fa8e7bbf1263deb54d2a6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2311ab3cf4afb2618f1b7a5f8da73fdde99982c33098628de2b288ad82767e3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2316b3161e6c5808c29a0b86bd5a143e0a7182bfce44b53f516f37e41b89bb8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2317c0693f8832abfec5e91fa368f3fec3df0d148876773dded253bd6e3ffe28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/231877f358a4bdd80a685ac58bfca562323d283b86696a66e426fbde596614db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/231c26860e0113c99c6985ea9036e9d8a17c395561ea5ace80c053012f3f7ae1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/232431c34e653db86a8f95175b9a6c387e48643872892e7a747b6b3eb2b2c2b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/232994d7a74de1f268701f2ca23b8d1b7f0817412bcc667c9ff12249b4803bd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/232a102df8caa161100ba464e4a7fb98e2e2bc3bb11382d08fa885f6ec14ca37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2336ffb260f7052a900106773d792d864740fb14d5b137b322a3326ef6eecb83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2338f2ccde52ada5a546be0b2b89072f6201be0a178fcda5a83f2e918cc3397d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23438a57a40a098433c9ec2922fabaa97c8bd470750246a97baf62f2ac6de66d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23509d20622ec632aecefe5e3ba1255111aa877c021f0e4cff0d2958dfa8954d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/235429196614149ca324d53a69487b3bc6116d05b326b23959cb4d3b0dfb027d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2359c842c20899b3e951b754c4c91a446375112b94d89c009f38a9225fa51c9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2366c61a6eb403ccd75e74c5a12e2c613548a9ddf6d59533cbedf75ef47bd564.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23675284b0eb7fcef021100f4d0b499fe93990426eede9b4c0707b547a42e8c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/237bbc362afc1799a02d8e984b205a70206dff35c7f93d7f9f442ab17e4eccf9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/237eb5ebc258ebffa3bb49a4a02d0c59c029e7099f8d1338acde317d6ec3df6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2383ea6a4f721398bb6438713d91064b0545addcf84554e6a1fdf1322fad28e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/238a30cd29bdeba9b68a24187ff6f3bc82b088cd0cdd3aa283fd42ff15b86337.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/238efc7c7f9661301b50bd4673b70b0a7f361f02f2a7f7fde04b84fab5c16490.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2390ab2fc0473ade7bfbb8cc2e5ff766d18a44746641d92e480fa181d74c2683.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23979b3005a61bfb1da8d1007dcbeec5c68bc5ed19012ef8140be1614a9480d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23a277be0f8f0935aa7b16181738a4634f2698b743a3e811660f6be863b5fc81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23a3558a881dbbb3a5c39f93881b4291f630ded8abe0ccc2ffbbf264bbc1124f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23a3ef793d1a1c43a81d08fbc087b791aa329756e8e84ccabfbf1263d640856c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23ac6c670287984bb9c28b77f793bf0a3548062ba04b36290c4d7699dfca0b56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23ae9b7389b8c0e7ae5bc0c8f50cfe99c892ef7a5d80bfc57e9a22731b1546f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23af00a1937b99e568fdf807ea4bada51a7aee0f52bfbf009201955388dd9685.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23b1607c684b2c59ab3c0d541c4fd405044d4ad872f1e44daae8baa43d4ac090.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23b632634366a840293471397c61b0f6ac17a53ae03af6a139e60bb9019a7d9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23d469ec017e7c1b5301951efab7a877ff17ec937e4c69ecfce5561dcea77c90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23d65977e9f4eeeb7d8d7552105c504d8585aaef617c97b233dd5847caf33201.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23da5c4e865c2e113121c0b04270dc6c0e33be6a05f449d474a1840353306ff2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/23eac2c04ea11db1e46d9e5c927d5dbf13b2392f3a860e55acc502f84ffdc12a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2417703876961f5e03729aeaa2a40be515ef0cd6c41fd327699329dd1ead8f07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/241880cf9698210df3177cb75aff26501b3f86214fe8102534b8421fc243724d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2418b90bc2772b3ac3b26a23b492677171ab81acab7a3c39db3b59122b4dcfa3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2420f7ec55efef9713094906a8382ff96c81547610d46f090582af7441f52969.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/242d467440e642eea6c4b148175adc8c80290b434a98a958e8f1f7f590b91a7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2438af953dc75a0ba8f4a78603ef801990b88d41fb1610c78e6e74d9d71ad9a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/243bd43b2f66aaa245d3f21267b1a90e23a349c045caab96366cd633eacbcedb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2448c86ce3915056ee2906cd7b2dd7f0dfa52cb21f74d76e6cbc6e41f80f97ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/246212d1fcf6fcbf9f8eece8eb212ac08ee1f25e1ef2f762fc0d92156b948170.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/246ccaae4c06aa6d0a8a205b2c89753e3b082149808ab031da61c2361de73612.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/247dfbe9a02d0bba93924992724cce5ac04d4fd474be0d90402a816de133b5b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/248556781df613612761d21de24feab4840242996b0b387ab5a10b9695d3827b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/248797a4742d11c86509496b3975d0d8d69564efd827e48841ef67868708fd98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/248c5b3a0d458e8e86005081d2d8b834c3a33e954c9c1ddbf091b4c459f99274.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2491fc3aab789ecf3bc11560081b08000bbcfbb0d84108ada934c68e18acc4d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24a25e90c1e64c67ac1ed04728de74b124bfcbb67e8a5377a89d60c1b00b13fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24a46e4f778037c68afb98858e14259fd363e8feabdb66d373e96b3af8c32973.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24a4755f991dbbf2034eb0a982fed2508085688874c24fa16626dc241774166e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24a71791151b642646f124cb8c47cc2ccaa569b2eff7e09b5b2617f3c60f6a7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24b06240feee34a48993bac6d6bcca62c0129b78ecbceb58967bf2f6b86199e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24c4229e00849dfd16c62ea76a7e67e6eb30d85cfb4b86ffbdc084d70a9b2f8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24c47c30e262091efd135484576ceca66d3a39de3d2a84cdcc667c7f422f09bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24c68f3fc950a2778a97f54c892208455411d45e1eb1644d332b04e8f2711cfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24c82f4494fd37f9963a41767315113ae1cd24970f28e3bcc01204bcf86da036.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24cad406fde556c7b101b1f1a610f12d682a0167f392f359d0a47bfdcb3d3fec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24cd636faccbfbc56387d3f737106d4ff16891a120a8ab9b0d09c3d91997ac33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24ce617daaaf0792b6a086dc75ffe3049c7296eb9840e31b2ee25a7b7eb80981.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24d13901422ce57891f85c6c93968169aaf52d776dd02773f98938bc99255c9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24d61395f8ae7ae68c1885d84b53baefe3de7bf6e4e1aa595c17a5c538b79ecc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24d6b665b6edb01e80b63a2b56aeb946347b4cab48fd9d8f8cb30538db719f59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24dafd98375f6c6b01a6bf16202d257ba4822ecabd815c95e3e5df36bec18d27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24dfa5daad7b832b7c471b3133e3e6379df22fe346d958febdad45104dde2441.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24e5447b181aa4d457efcc4ec099406f2a1edc5e05d8c4d0ca937c0c92ee9929.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24e731b838e11d92b9309c1db9335f6c09b1ea6f3dabf23811b5b7234573293e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24ede5e9ac4bcec72aba605683931578351d81a3d39146e33c910fdc7871147c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24f0a1c5c7dc5b1d739a5517cc071402a77539a3d2e829313561a3c6c30dc012.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24f88e72a150bd9e34f60ea4e3c9294888fceaa92631c2ea96a88672cc7e9739.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/24fe6429e768c61412893db67eed5017df4c3dc00bff7d8a97f3d1286f998b19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2503d0b1b134c0fffd811f01f1758b38f884f9c7a32d557ca915c9bc3cbe2ec1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/250a2736e7db87af90863cd11c3bdda42f4578c6250c15b2f71a972134f13196.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/250deb4e93dce95cbc8a42509ab3f08c540e9e47752d52f550fc5c53b4ebeb87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/250f8b7de7d06b2b5273f40eaeb5bef34fe91cd9b802e61593c3ebf66a6bbfc5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2514e1dc8f26ff9910a250b50381fa33c4c5833acf144cc2eab8f2f98f279e03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/252112ee0a81a9615f598b0391aff03a7832886435cc05ea923cfa12bee8aafe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2522c6acea53dda0525eaec0df4eebc6d28f6dddaa5613a5bf85e991991f7516.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2547b77edd0c73330de3661e64b98147924eff78af8e0f29537c6b7783d676f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/254d4f2712b720ceec85147719b7276fb034c8471e77efbe5badc2765f283be7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/254f8eb7817f2cc7f0ae01b709ec78c5d074aff986356221b0c7b8a492b6ce90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/255724931c65049a3d35013748cc6b18eb9ae10af52c9c5f6400fe6e9ee1b019.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25683cf8b9c053dfb30ec29dbdfc323108fd6bfe2083bf9660739bc68140e394.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/256f4fcdb15a65ea7c528963b48ce01d455d5d67af1e70e1f93168669ab6b09e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/256f7cfea04745346a93a0470cd72b29436d29cb7a2456cf6aeaca5fc8dc31dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/257582d03045577580b4b9aebe756f3927823eefcbd5d25110171bd1afd860ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/257dfab0ef869cc57b3c78e7df9fca8efefe1a291306acdbeb5827b59119930b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/258bc5b06dcae956d8c53a5cca3d4c932e2de22f1832b1776b3a7844dc1a5725.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2597bb6be092cb6efda0a26cbeaec0d3acf702206e9d56388d049213aa8793e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2598f13bf93c6b3a8a28ed167d32723a5d50335e361fa76ef1e4030e910ab192.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25a3fe15b6ba6bdb0983173cb277695055af7d9efdc8840ca40be5ced8f56474.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25a804e8170646186080223a8dec260534e6ce773453cfc27ab403d590f6f480.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25af3a62326c925c98f417fa10294515edb59afccea1170e64d399857c7f160d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25bb02d63ed3ef222e015162ba0c13e1ece63a902a56197a2f36b7f25bfc2747.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25c19cc3ec3e54af5f26cedaec66d1a3c296075bc1777704b196afa5231f9c42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25c55aadf5f46becae2a5f066b7ba34b5f48c841ab3d9949e83956b61bb199ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25d7284f16e61f76cbe4449fcca33381ae427ff13481808df25d5fcb8697f0c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25de65cd298f122e72a4d868b23b3b8fda041d8a70e7e0a130cfcf2f58ab5f75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25e097ea2e5d1d79ba7f7884abcd552730fd3d8adcc0bb89a7f58bf05a08be27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25f323588f079d3d5ee58898c785c7db5711a8e76324b19c16ef5de9532192b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25f90e433b4a8ab8c01345995928ca159bd383b1702a8c4568e209fac4510d97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25fcda806b214dea39ffbd014c6adb57d7d6744e40e6ac6ff7d2dcfd164ca0c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/25ffbc1899870a6d4b56c379b8b0b8cde5cbc2a05f3e3a44bf0948b8d8bdd838.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2602118950de04e5bee4e9db3d815795e8352c8eec354c4f21888c12fd19ba3e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2606708af56f36412184ab025937fafe4e6230febd04654f1fe5a19069193b41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/260f2b8257f85a2c760c7d4f69e154113cf12690d8883154de959514a366f175.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26103cdeb16c2eddfda46b6232bcc80183dcc2bab5dd6d9a5d9ff452abd5817f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/261975642a3fd4cbf900f1a6e2b720b2c8b853a80b32391672a0b368af2eb3db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/261ac8041fe5cb88978a018a4bd388ad5e692db03fcc7692481e31c654833af2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/261ddaf071f2f61d0f519a9b1fd20dc033a4a55bc37904e65c251d5abda2292a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/262dbf9913d46635d912c9301d8506ea752527f30f547a25e6283f554ed360df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/263084e9e58ce2cf68dd7003b2df56ea5f9458337ce78efd41a62da29b7d0fe7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/263b0a631f7c4908cca33495e338e03555109f275e053d634927e7e42b5aad58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2640a5de54164753e21d3c5a6ad1d6ad931d4fa4602bbd5cbbfef69e36199e66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/264ccab581902061fd00b9952f6e59abe14a15aa08b7f71cb30ab2ebe7b15890.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2650e35a3a02c15940d409b7f679a2b8da5a3f513eeaff2932ec94b37ad815b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2656810010fd810a7fc0e14f3ff789dcd2c771ad22915ee869c48bc241117b88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2657c1e37587dd6117e1e380e19c0560d1c5ce24b8d44a76be83f01614a89a5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/266a99bc6fe72a19b1e5198229cfdc7e3f0753450ba8d4396c86e3b511abb2c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/266adce851d104802b007cea4c466a0e056090adff921ca753c597e127590bb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2673a3726ec9f371aa9d45ea5467fa71bcc78d9a40894996e72d15c6a1296dee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/267500e20bd47fb4fd079f5373331091f67acfbfeedd42295ac72ed15a5067be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2678f17cd206e652f61936ae237d7f8509baa1551c0061a39d2b1a1dacff785c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/267f0a13f23a690c6739a03311a874760e34206a030e0b7b7ecdd18e099467f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26806711f58c9bc0f02ed48a4be17c2c81d7f84f88e0f4d99ce218d859e981a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/268f1e8a7ab7d15203aaea23b4834c6e94394d33cd537d858df97c862f475919.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/268f9620a9311814cf30fd752e0159586d5de3cd56279712a792f5f60df8270a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2692e7699c960e40bd590247650e89763033160b95db24d1a1a68000e7441956.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26bfc03e97cde71b3a6dfd4ae7bb84af1894838304068d6ff11871977da6d276.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26c8d3561ff6245909a37027fbc18337090032ba5fca376ac1f21fe48853f4d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26cb1dbd1aeba99a9ae8d18145748f1adbb28b22a17a1e25e0880d4407d49bdf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26cc2891c3e6cd71ac8aa665291af2893773af983f3745669d2066ef53a517f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26cd600323b2bf7a57ea2b18381a6131e8c612e17a170cfc0f22273633d74c57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26cec28c641cc852917ca2c14d4c8bd7112375dd44e584be81a66fe1961ef372.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26d25c104c4427e4416f940703984e2dff194d361e26396d40e74bb39fce160b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26d5deef312b8f928383b86c1e9baf164e4d3201530e328642da1dfa0f28924b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26dad836a1d45a2740ff3a59d517bc2062872ff3642c498c517ad9ef8da53b60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26e427ed83265c61362f0e8d9fd4507f94fcf94a22de88ed6953efad08e15417.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/26f778c4c26e04c362bb9d6cd8bf91ea271aa5c40bd2ae38f2bca4afd7949e94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27044692e016588d45613fb1545f20efb9d49af87ac51ca55e9defaa4a3a03aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27053a1b45552f157a7fecc7eaaf02d19e2ef5dde0cdddd5a1a6742117dde748.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27096ff361d668a625882beeeed1bbdf8207725d23428ad380a8aca346ebb4b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27131a9991b5f950ab398c2c80d43cc369b81a95e53725b12f623fd8ae30aed8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2719dd7cbfd28d034f501accff9499581188b0d98008e112175f4ed86ed23620.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2719fcce9023c07ac73909d121c5401c1b6ee4c2d1e9f552f1ebc38dbbfdb2d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/271cbeda0ffaeab0cc73045988bbfc0d5bbca3192f513c48f9d17452df1cc899.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27202984fb72bb75c2235934ab5ea8e70e24df2f6f6749a6dae9a499affe9cea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2721665dc0553bb2a2bcb76dae60fe3904177e627782cd55bfde5a3e4a911d13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27217cb734e69ab20f318e9543c696a3d4a088fbac6c70cdbddab7923967d454.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27268b07c972ba475a0021a8959067e3f57b877a3dc54d407ebb3dd58da4b24c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/272a9a180689d30e41f6304d2dbc64f3e2349b1d933f40736a7076bf190a4631.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/272b1d987c38050c11ee1060a5cf40b99fd7b02445fbc2fa302aa3e8d6600258.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/272b3eedf0d6c764040b82d8fd526f4fd9fc4183152d6eb086e398005b15cb85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2730d630492269643ddf16d2e7e5c72de9c3c8cd5533f19f9e642202deef9233.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2731a00bd9141c6a05882d601e5820e05da1b4c7b6812c9aa468ffc55e5646b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27334f4bbfdc2404f9dfd2ddfecd07273ba4e865d620bb673ee80ec31b82b31f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/273926e0bfa2991643330d5ff829f4dfe5f873a51763f0cd4382eeed9b9c40a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/273c643f7e6a0a704fddd5a5b83fa0c1c3808568a3ec9391e83ba4db56df1fb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2741ae1ba9956a2afdcf5faba446a6d617b19dfa03eef51ec1d6cf5fbfe3b8c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27443a1f8cf9b8a78b4c5127c488b2e006f7b1087ec09288fa654f5119e27279.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2744bdd66d2c5ce5cf2f746ef59fe6f3c0959bc7180331a76adc5a605301a323.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/275b1acfe0954e5904542bf4e920f0075b9165f1433ace0962a3634597e7f56d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27606b9ca2b5529dfaadf1a13f3dcec4cfe0cfd3e65e58c5f9b103d0b9a8b8bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/276b407e0860b1491991724b0ed7f09458be2c7ad1bc962854ac5a7ffc85c9b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/276c51f0cc40d6a36e5cdf3f1a2ab75edcb51a7370f1c6b3dd081cd5dd0f97cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/276c8ffe642e6ffa0b8add3c449675719bad820300a0a3b52a110ce43e0c8295.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/276ce974a962bc7af4ada23180f2417efc98e994ad23b22b72e69d102eb35d14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/277ff0efcdc407bef679e75b1b85ebbd700f04f8ce8dbd3f9a0cdb3e3bd1f4e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2785e2485b213e7bd75f43138a7fd0f6c925cacd78387a98198023a611ce0407.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/279211de80bd3d7fbd82fa8d4f438b148a46fef4376ee8d5eaf4f6e04b552528.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27933061dc8fd41968bc317717fddc556aad3da4746491af35b2fc75ab85fd2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/279875e7d6944da475fbefb5344595826abbe9bb803b5bff814627e2f6d14776.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/279df9ef44257cdbe2e13c774b76cad330feda1c5eb89cd5402321aac30efc6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/279e3ad80ee2cd78f7ab16070afcbf764fd6a568c12e3c1a431ea06e8ece4270.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/279f45dde8d4bedb25f013f33eb50278b0ba468c7c58a8af6dc0c9135528cb86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27a4ee89d3ac78687c719a41b4e36e6d06ea154515f8b052beeb8c77835fe609.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27ae99778e29eed4e4c9548bcbe999bf443e7d628a6310497de122b703cab77f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27affbdac05ed043a1e5a69ac82d05b9cfe9d992a8e7cfc8658c397e3f1080c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27b10b9b720deab07f6571f8b106fe1fb145b6c3ff31454eb57e92a36cb17a65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27b21b6c56d4f9d068b136d29814500e5338f314f66e28008c697131a45b236f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27b94af389c70825ffaeca5285cb3a29687e0b2b0a193f824b14563fb32ab4ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27bb30099d2ba52b2c3c4340a850564e4ac761583582a9752d07ea0cd01651a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27bdd40ae357a6e784c934eac0d7e9dda9e354897d78c20138b028f05271354b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27c0d9d31575956989f5636b4ee0b73bf04222a4ab5e709fe8cd0791f9b7aeef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27c5f7de589eb0f47218471ddadf8a12735990b3a43fba2fe5a935c6008833ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27cfd0a9b13185c7d906554020ea06d02e1741fd691fc3203954c1d57b70d9f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27d23b1202ade7a1f168b6fb700db034260f9f7b233cb38f8580a6547ff4bbab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27d37b385f197f34628b5573c471bff2e2d964368d76cc853d92e8c3102d749e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27d6e9a8ad85102ae6dd39081c0ec7799fa1f1a8d938d95af2610ee1097d2054.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27e539beb6314e3d156f8574d9dd7b62086dc3d953548c3668693f7d52a2f7da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27eb1bdc2a8086a071fb492b5aefcfda4f347bf495ccdd25b9d71de797e4460d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27edc3a9bc30782a931b19700c2fda159c2c6fdc8c0f22083169baab7804876b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27ee7f2dd7a03b8b234caeed905b2a1f2fa64e68bdd216796224c720529f31cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27f3cac46ec1eaf4a9f8d6ed9d01e0ad4f3367092a51ba0e4067c71263351164.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/27fadf004223684dc9f79832e869a755e7a6c3eb3ca6d3608ff202fcfe060b64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/280446753934f4e5974888a422afc0038a4cc525cdd4e9f61e58baef8524b813.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/280a01ebb4bc3dcd17d8ceda7467a4ed260e2d26730b679b784e1456360f4435.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/280f3b8fe0e3770d5b39520045abbb2d330951063e7c57381559465ae257acf1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28394306b39e4eb197aa90b47b2015b33624444cbba7e3825489272e4a59a22b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/285787d434df9ff7c33372ac1c33dc62c22ffa3f95087d572bce5d9b2974a975.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2858c9924cdf1d71d3a54d1c5725f5570ccbd92c307cb1b102104080538e09f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/286046aee4b0a49f2c1c4ea5392c4ee4dbb44d0b8d1356b92db99f6cae4c196c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2863289c19a7e260a4ddf81294c517c5031d8675f6a73adfa6e5743096529669.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2864400b920bf464cd4b9f067fdefb0acdaa5a86db9029e6f3e5ae6be8637ec9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/286b18666afa81aff06e34ea6aca34aee53fcaa538448dfad7c6e45b9bfbf5e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28767c9b4d966533e1ef458dc23574b0980b6896ad2466636e60b12e2e2bf6bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2882886695da3b434a555f29b37f81d9a65bdc89369bedf6b220ec317a421a3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2883f2a5f56b7ae099cc27e27cbb538abf4d2ce81cd3f0b8eb6b4ba2937fa6ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/288e5faf1efb93bea1a4f2d4ab74a850336ef29a966fd0e51fba2ed26901d477.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28978a9bc120e32776c9f0c32eb63d5af9a9424f110a80922e613aaa35ef288c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/289f902910e94ba9dc61dabf92de362b023590e9cc88173d300f73d92c296698.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28a80ef77a4106405f3ee0e9956035dc381dca731daae155e6d9a0208d17d2e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28b121c1e2574e4669382870a867900e63e359d8e0d6999ff2f147c6cb43e0a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28b56a657a902cc628cf64d8b314cc44278498a91bce5b315bd4122d4032486f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28b8a8eb1e0ac8cbbe8744e5c5ca90f18c2b4d56dbf28c26286c1a3dc08bd7c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28b8c5b79c745824c8d606da40ca061ddc7c18d3043d51726f18c37868383ba3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28ca867acdd93b870e0283dd304e8819b09cc3f7036957305f5cfdd12802f6da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28d67dba814e66fc30e7186cced1bc5af52199425298b54ae4ce6de9b199ab1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28da61db52c29a11f2b21ed6a1ac97c600da1330bca83c8ffaecbfe1766eea0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28dc24b45656feefec1daca8b30853170b927a63f031cf08020af29045de4e97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28e1c37d4c6eb2e8ea4ff807d0e7baafd8437fce4241cf08c5d5671301e07270.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28e476947ce2b6b0d356439c393f1540c3095cfb6135c0f1bb7e04dccd5f974c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28e988ee6fcb2a3ec8bd33a5587163127dd968ab2b82c16dc5ae413d9d2c8320.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28f5cca02669e2120b22dcaa6baafe1d4b2ae3843b2c855d4bb00c54dde0249c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28f85fd0b2373aa609d4404b0f5fa1ec31caf69a7a5a5810a152062ef7f25fd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28f8f5710debd2fba5a2f3dab668ad8baa0ca165088296de1fa67d2633587e38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/28fa24b732521ae43b02a5dc89f06f319043be6c277ef103882536656ac56b82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29007aed4f1a09dee0eb7bbd1d704b769da3ebfc56ce38fc2c11ec43ae4a43db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/290f89725094f81bc6e6fe33a9c6520786c9b1935d00f16d6f9b868b62bbde5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2911e4f82dd9a4660cc127df5a1393b6b3507414f3cca033b83461149c302fe7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2920620f089995373f7c3893c08a0678da97cbb0a54c86819a7fb7c267ff80f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29253e9e55e47c146cc4ff30a934c685a11f4e19fe2d8c9c115f4f20ad04fd93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2926ccdc3ef14e0b14339d4fc643097f650ff7897152c622ec10d229f76048ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/292ee5f54efe24fb1b2afa8ca160fb8e384c076c1d64ec83b1dfd2588b0f2c9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2938560b6e66949abbd4ee65e5a437bc3378eab70b67c63492845c803702ff36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/293c6d76be025d59b66eae9561c500d72374d48f8a09a0d0d3e200d61b35b914.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/293f875d2f12216ff72bf93df6a6f261c733ff82281c3eaa678e78a5d492d953.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29411eea228422904c8aa78855aa222ddd364c48eadccb9b316fbc75a81025a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/294470bcd21a7ddbf56fd4e4d564c9021d6ba20f3bbab44cb602eaea97994c03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/294dddb2b5469c7ca25b478c4c593882551bf925051cf04a11a46dc4a3f1dacf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2955a2ea5e0a2b1690f7ef0ba83684c1112d2d1b452a62642b1a06e532e33dcc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2956bebad7236856c06e3d6250f128ade2dbf643402653ced33f0796f95f0e58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/295c7155eb36257aefc71432d30339499dc63b5ae30119255024a454797c206c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/295d7f8797d3447f7ae1bd7ce5335882be85c35c5ffb92db91e206255ea5dd05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2964f0ee32a3a2c22b939c6a119664df62c855d12fecf9c29e2695e929638b31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/296998cfc3bdbd67b47bcc58c4408d699d7a1ab8502e4bd7f5b15fa31bcc1453.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/296a0156c84b9d90e186948bcfec9a75c84f059f02ae596275c7ef624c612c70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2978496c2e4647087b08a0ef872c048e162874a890c20dd5682a77fc6d6aa0b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/297c9b7db7f28f3f97d9db674ce1e9c95ae00856a623efee475c94760717ae6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29854024a1a558f61f15b19ffd1e9bbf8c17f761c4547ea78bed6edf7a29a869.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2989216e5e9eee13a2edff0b738843a8e4ac3010011c028a5fd90d5160076bbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/298e5cfa4d223dc36294565e6eac93c4d9592f4fbafdc04b8223d91dfc566700.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/299240d5ce9843a9f194d04bb6c67c4cdb58f4dccd47389750ff3c9e28c7e0e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/299b010612d37152819688c015e81008c7148e66258a24d5c6715f1516ccea57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29a02ce7e3c2e87cf1f43e3bd31ae045a4b0d3fe98fddccb6f8fb8d401ebb721.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29b1915d3465dc378fb29a4db601b08af7dedafd4134c3ee7a1b721211acc01f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29b441d69c88730a6fe98a28a328ef252dcf5d0261f9aa7a7375be58c74b38aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29c64d83761808eb44c110de81dad1cfd184d91ebb0108a9307ba11c928d68c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29ca60c75b0774f5257609751c6bc39806d55c63e318d8ccd2a1f749933d1655.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29ce7fdc05f3b63a0b311b0d0fbaa2dd40cdb578ded0a34323f94aa19f0e2dbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29dbea37841c08962d14e46cd66c310f90a1053284251d4e74725e88b3c7ecf7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29e19aaf1bbc85035fd62933990d8e451f797580c8797c0d870cb19c447646b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29e2a8e6b64d0663b68f0e89ee51a9bdc8dcb6e18d540c4b9fe4e8e121d375ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29ef2f96ba0012a7df97d05ad417ecdb67dd046ad10f10eef4667d6571bc079f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29f2e3502997798bce83a48a5af48c041fef49f7623fef6fc4cfdfb7a1bf6d57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/29fa71aa000f8685eb0f3561e9b6ad6f259ecc999466a4e27b9efe31126681db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a0bad06144bbd173c1e0ad973a81cbfc8ec9991ed573187c9155ea06f05af48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a0c1a5d58baf282b9237ae0084565bb41c012f1cb876ee171c5c4f85df4eace.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a0f43803acf4b53fdbc9fa415cd669533f23a5443955831d4cafc9b8f700052.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a1413d0f14237b1c26abf2a3733bcb68b08a3cef1705733197b22a1ccf1061c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a142b5b486e9ff1246e41a29175806411258d0505bd34a0b26364b32b7311f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a148ac6bff37b17aa30cf937b8c8b6232cb13b6c64e26dd06ed306498ea4b53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a19ba697b037cf04ec609d1960ae15d1a15ed7429659b64b934fc862f6894e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a1c702e42215474e2832a787f3f97e517f0f14a20eb17209a404526499ea075.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a1d308eeb91e872291c443026fecbf3b3e25cab09ce8977f476d225a2067503.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a2355287bd749c8dc2f8089146a12b1fde31b0136d526a3bad321e047c2d931.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a3663940429adc7eca713b3199a86a732f6c189a21485d978a2386be67920bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a3d7b3c65a06f1594d26540a375e8c7d25f2510ccb9d289a203b231a8d585ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a3e250d7b771d15c9469334eca16650e274060675ee0ce9e143801fc3fd67f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a42f2638b267448d297dd4b24b39d6a3b6692f715da740223eb1841ca8d9421.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a52312f575ee5eea1279acdb87a1558d4de33eccbfb5ad3348f10b3d2406b67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a52891b4412ab270e2ebf3835612370b0fcac433a3ee82a0781492be3ac7894.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a54600e4ba4f1999690def744cc448cead08df16e5d78d8d3763bb455e65a4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a57ed97f77058d266a68ff00c63e3ceb0bc763a9cfa22c192543a9709b1bb7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a5bb6d3e6f8f85f43711117b5e6f105be596a60093d193ea535ff740506f91f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a5f09d7f7540da88306f4173f8cef6bd59112cfc67823062acaa849f078e05b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a6904822397ff458974edbcd7ee3d2e1abf6286a4842cbe879bba03054414b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a7a825702a717300be2fb982ff8cf6cdd18a0370d500499c77db962c85e95f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a833f4ef940f703fa5b8cb7ac9140ef50c9b43658836a4817c5bc7208ce1af2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a834f465db75c7748fb772031a136edb242fdd355dc342b25f8b960a9a88786.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a9021f908eacaaeeef60a58e989358f73b345e1cfd531f017e9d99b8b9f1bc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a9143688542fbf369642438f832e5a4aa4e75ce0240fa4cba01364962d81566.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a922a0dcc358bd1b892c5f469345af10e7503268ba4904adcb78f02b30064eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a92c447c2b66e187f7c63bc1a3d85d3c90992f899fa961fa4662ecef7f8f618.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a941c63fb3b28778cf0a8f9cbe842085c8566d8bf2862360f8ce85f4230e994.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2a9abdf8b78c01141c23d5c35ab0b1967275f176548950e11500bd52a8d7e439.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2aa2d34c74ab56a7f8e14a48b9973149752411958e784d8c466c149dc1f6a96b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2aaa8759d43e6b84394e37da585a9146d6f4d40ffa845387cf5fb3deb804c12f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2aababaa5661b65e0c0610e1ac31c367711160cc5614cf1880f55939aef4988e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2aad1b0d7585f402d88e44a391a1081956e3c057b45a529d988ff87853222305.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ab03c2a4c9fe970a88b02911fc675b346ff1965530a77750406782623b5d5b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ab4f2acbed7764249859abcdb574699177c3c2e6914fa85e2ec72ef1346d9ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ab67a7c0bb3b05cedf4bc6570dfe1a44d4741ea85cd7b5091177f3fa6223db2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ac6b76e3a2ac40cb24d0c87fc3a1944d772d182bfa16c6143d7778560f3cbe8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2acd9baf95c2c58b35bdbb2e217d6ea9442bc21fbec9e493d25f979fdd8f05ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ad0e135eabec7146a6ae74e7b1608d35942a76f524d0f97590e0d0674676ddd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ae08c47687a41eb1d3f584e18168b92b7253c4186f40b04fdcef13dd11c401b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2af6564565d0bf4fa2184b7be891be30e2f9843c69f8a015f308ed08f59ba592.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b02199ebad268bdc0bc037548d5624a91aae6658c6c47787187909415218c76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b06f66d567cb290f64eb97ab65bd81c153d7186394d5a55cf2c5c7089bee1f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b0debef8b29208e69e7e378c8b83c88fdf6bbe232c5830c7f35a0c66f4a44eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b1161f4448ff85909418bf579974616191054ce2e872ccca65ece76615b4d20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b17c0afad12606a7400cfc97dec6bae7d19e31b7878aa8e580ca39446f3a836.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b1d72bc3f0db914eceaecff55d4e4def87be3e434922201e52f799333e603e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b2329e9d8bfb1057f74b2d13b6da48e1b6b06eaa4b50ef51ed375c7e4f6203c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b27a9f1ed37c09049d5e60f0a289f51319198069e899b6e4166defcd4efc7e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b2b25a267cdb355b43a70cb8d2f1bb5012a398f1b3e806b4d61a7e1d2809ca3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b31c4f74e46344cee64366d557428a260ac4f60d7198c4e40996fe129ca4a34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b3dfeb4c6b7d218ddbea06fb7b39297d41379e74c5f52e245b14243422adc44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b42a12ab7237466d7fe2a940a1a3bd487cf6a295d62101c366d501f90e4f8b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b49a845adf8548884679093b25aafb259af6f9a01069432ec0fdb0b7c4bd087.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b5254e94eb3aa84d4ddf3996d0da3ace3d3c32396ccce11708e7112df01ed85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b5cf87690dec4efd55682011be4876cb21f9ecdcd0dcf02511edb4905abee3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b5eb4c3646c352105bd6a6b0224f92c840f3e6071752f9a2e00acb8ed29423b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b6f38475adf7006aa75821868e07a9287cd0c9b5af51c6fb9844e1f39455e58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b7117c4b18d91ae57135e3bd117ac8de6629fa1451eac7a4c3f29bea1add837.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b7f81edf61f49eaaf9f2ba91d187ca8f6238dd9e3465fd27b3ce5b56bbe65cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b88c51154897b910d9cbac7b4b246d514b939319fd30398d9f481c8efb176a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b93deec4691cc5210a4fd936b75fec22338f02fcf22b182294ad14feff9e52e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2b988e952d3656c098db3cb4545a364404f5b2bb434650cc3974e02b432ccaf5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ba4ba184eac044f40608afd822c121a1f6d8f0352a1865c9595e8243fab0fc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2bb7027e54280b27da56932f0bdd5d705d23658c827d44f6712712d969cfc00e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2bda6f8d8793fa8bc335a4f44b1b783165747decffa157d4c50f07c64125f181.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2bdbea024cb6c7b557c226445b798148ee027c843f1fe24927ee9dbd5b89b009.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2bdc05f7fe3ec9e7db43fd76f9cfceb21d807e3468df48911c84d8241cdb0532.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2bdd0730abfeb5dd07a9e1fc460f4468da5034884b4324cadf68385e9a22f2bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2be32382bf653e8f162590294f33d0e05dabf5d8f4f700d4c876d9f867bd6c25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2be51ed2d8b5e1c7e4339ad79e2ead8b09b7c015c51c5479260f67434a975356.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2bf4dc923dfcc9d66f2f510ea35959982c0bae79fdb6aa85ab81889521d1890b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2bfdcadc88171dd8f57f7251915dce9b55e7e333bed9c324c61c2d936147f02a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c018b237325a79562d1fbf65585a9a90984c303b3b802da7158b0cea611e926.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c04c517e7e3d59b10b021eea34fdf1084aad8e39cbdf767aa6ae19319fd7de1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c06633d594f945cbe34d99562f87e6facdee3c37a91e4e94299303ef78baa8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c155b874d60d26180365fd6c2aaf3d2d68bcc10a6bbf56b08fdb6e470b99f2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c161459126705a783f1f0d719ebb594e7deb06ddfb7a1c1889d9bdbac63e475.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c2d57aa01a8a43c57329e986ca44f35c016f710791c68ea7f3728ff2aefda0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c3e2f8f4d0977a420b1d1157eeca115d133d92ae9773b9ae3d445c2b08241b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c5916576772be87e35e013232a17f8d79fc5397c115f41ad6abfe91aacaf9d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c59d1eadd402e8f2899f6942e4eb59033ffc14645ed416fd38f26bd1a5cad2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c5dc7f31f8437b4d327411450ba490fe0553af8493ea4c7e869e429ffdd9da7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c5e5e63f37cebc0d098f92b85d430a08447d64b0e1704df8ed9fafb3c16a36b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c63e727a79dec3df93f00c29445fa0b518a464026235451c7ae201e0a0e19b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c6a2a3b3cfffd6d64346672a143c85ac35fc5a982c86938df0bc6168b3459e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c707a48d81102f4891d8e0e9786b38811c8fb81e1d9fc62a84aa41ef57b369d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c760ddefa660b4cd924989128bc6751dd82cfad44e6b2c44e45745d1e5be5e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c7724b0d80f8b52fb841e8136203485720079365d87f93b636c10e17ab8bd6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c7dcb492859112ad56e3f8e83b6058322f5f6bafbfed3e9e752d51f4b795e19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c7f88497737b2906788357482f1249bd3d093461506c21f0b3ecdd2c35ba9bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c903101cd737875dd68752445f5eb3202b4d00e9375d47f927186c9f59e08cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c91ed9c80e04c42dfe7feea49e4fa3b2749b6a37467502ebad0c1a749806558.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c943ccc1e9d3930d3611bc8dc30df137ad58f8f2d698aa8e7177c9cbb7585cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c946e42d3ffd9a30e1367d17b78404f479fa7b85cae5aa22d4a5fd09a1a3fc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2c955bfa27fa95d90dbd5a6a3302b877ca18974e85da2b46678b329540348fe1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ca1570c758519f754cc72f8b464083bb6a5b93c5528c62202db43806d37d043.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ca62ff8f17f7c3569be5bf7ce27a678f60a6d659c538bc77d265ff431cb7cd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cabf882352c2cb51211fc74c9e6200919cb95fddc6b811de8f315d0fd215f29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2caf7008bf10174168292036135c3d112ddbb6b8e2e06cfd613169ff8bf49b3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cb21c4d1ef1cf2daea4b5f1c94e9db5731531a0cba1b21dbed9c214af26bb49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cb46161e1510719e6dc5c8e81d6db4c92c60492a2dd38017d21f2e492b00952.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cb735778876d5895c19f5f944621674cfb1847d6f148f1cba09a4f556767163.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cc36d25af22e74dca7f6284777dcffabe2269ebab871c7d26e03b27d86f4774.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ccccf4d948adbddd488aea1a9994b112e728bcc88bd9309d990707589a30b6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cd6ea47a343a217b94fed2ceb2120772bffb609a64e7299936a9174a8ad99cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cd9241a8c886de59f35ef41c70bf9088b14870b457fea78b84e5abbd5bd91a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cdd8979b92fa00ad2dfe42ebda5832020c6f2c1bd89af07b17add314944d060.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ce5f1c9b206a83e24e1cd4f190c47c198742da3381560a61c5e95e3ed79d86d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cecef25cf27f30e1dacf12c7337f4637dc54ad952082852c4fdc3d5d3159a42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cf3ce70e7a288b790a22a8946d25a7057be346c2532764d3f834b2bcb234564.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cf44ebfe6c86285b5589c620576b29b7b851327b5c023a104eefc8a7ab9101d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cf7beef21b8f83c7d8d58bf510f2cb875800c06a3db33fe18fba17c5bd6228f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2cfe04256736293e5a7b8360f5f5c437cbd2d41fc32427b2881b54616440a361.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d005cad86fb1f7cbb983a0ae61616c58c281f8c18757b7eab7dd1325438d9ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d0b6027d957b69238ba20aa60b84b5118db85f82882503fc078245645332847.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d0e7b6059058e02f86ad2d4a08f7d7902db079e3c7066dbfa0038315baec1c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d0eaea30517fbec5ff8672c326c00b8fd17bb3479f922e68ebd3b0e2677b01b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d0f6973dfb1ca1c5bd4306cd0e77a2e3012dac8d3639b9c1f1159379b09b0a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d298a8d8c2a0c50e94c155f563f5af8fa1eae3386f8b7af8d47d7a8b0b9e087.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d2dd2b7ab18df2754d2c296a2af401268ee849ef940df7bbede667d2b94183a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d3b5bbc5b0c757a7f37ef9a3d43b30083b1439e86b3d8b64fe77d79b94394b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d3cf6bd2318aa9eb4703195bce38115c599d81c896acddf4ea74256180d862a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d3eccd8d7f3545f25c8895693c023bb3c83c4f7bb952ca0becd36462557edf9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d46532943163aa10c549bf99bf201624420e49edd5ac68adbf5e6e6726f2f68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d4a05e279d3aa1b703d688fc3bcb890a12be30414da535ddec34fc9c2577f2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d501d6f721a8328cf3edc8d38b3408b8e3c6b04d960c23a91080d19e118a2d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d55d8cb9f48951cd6a612c51deeba89292fb46953eee6c2d6105ee39ad71434.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d5974f55b9735b67176bb3c75cf39b3c643ce687880030818536f5e8233a48a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d5c9843abbb002c5887998d13871977ce4c02b86600e1700efdabf13201f0ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d6282f099ee1ddf3949161bafc9842dc28621dc633a6d8698d648e9295a746b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d628c372db5e8958fb46df9a6c455a3de1f1ef9b09413c1188b437bccb3075f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d63b6cd5fe1ee6042f00904c72d9a824b8dc39769679fb77b707aeae4ebaae6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d73c13da2c83bf38a4644a23c1b772291c41baec73d73f5ed87a6daeae47eea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d78d8ee00eb197c162630dd2fd9b52f98c1fc833023b67f08a6da794cb47ead.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d90500f8b434b156e2a61d8c197849cd7f4f9eccfd8e2c265bee762fcd1c55d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2d9aed6880a329258eda045abc0ae46767ac268a977da7396ed04c8ef42db83b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2da0d76afa82f17583c7cabae4d5930a351de773371a5fda89416807d84fadce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2da199898e881342a016fb9e54a226cb70490142f727457632cbca5863c40c3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2da22be280359d8680156edf016a8e069e7d7cd9ec6f75b1a5ef3aebd6dd6d34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2dacec6d850ed95d08d96ee98b18bde94dd77e1be2f96f08ee9e579ac87fa7a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2daea5349ce15f14755b683d68c310998322dd0a85ef3f965f633bcfeaa70da1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2db2189066c25bd197b8222c201b2b3bfc7b64b97afa19288a33e6e746b68137.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2dbac333b549bfa216d7fc8d3f2755199dae9f8700c35e4737e6dc341136c72d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2dc3af30b0efa5ce5c8be5b3d75fff75377b9f711ad0e9d4d7a8ea08389457e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2dcbc6f1af550f22275c5b61c6383b11850386d730e8e02250c0d2ac4b4629aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2dd363ff009a0615bc0cf727be9dc7f4205492b4bf0a407f07075d6c39267b06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ddc64c0d3538b66f07bae1c40d4709de8e95f70eba9ba6b12a696043df8e24f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2de9ab8ac7a58c1e5b6df9172f745efc9deaecea0faccbbae8d48e486ec3841e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2dedd2670a4d1dced1b547050a273c9d58efc9a4297bca459fdfb74687aedde7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2df1cea58599bd9cca3b921a869a5bc7882766e25f214dc8e6761ff3230ac841.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e043720597824f14a358d115188d873b6f6fa5fcde3fa2fb437d5ee6095c676.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e0c4bfc3a840ff2b9c27ea5020874e8f8e31fd9e84ac8cbb2e7aa1ffca8f71c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e29baf67822e335cdb2d6fc178cc5ac6fb5fbde2be29b925e7816fb0520364f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e2d80cea025f798beb9e54286d3596863c4356353706b8339047fb0aaf00639.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e34c62622631feaa45786e04d7796bf545261df8deae94d32bd3410050a1d8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e35480c6b6660c47870f226850164946e58b0b947a2c0e5572fcede1579488e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e36c408359f96e7063b7fb8ea0b41d183888d76910c5b84798124e04283841f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e40699062a94d83aa47702ef839cf0dfa06c2841809f28a222b69a828aa042c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e40ca29a9ff0c07c84b8afaeac5a5f9e82d178fe3eb284f705a1c53afd05ac0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e4504a6b36fde7cee6ef92826a0fe6eee843a03abb5988e1b8d08081d21ef1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e4f644d54b220f59df572607fa26173931dfa21bba66166f28ded55cea5dc2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e568b828822c7d9d6532c2d92ec39c29babdd065254c0d8f27b17490f963736.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e748a2fa70686452264719ca6c924a05de08ba10a898a5ef6d7f39dcb346fe7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e794e9b2681a016f8fa3c92f1356f1c720749724fcf2974be47f87d238ed9c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e79db4c277ab3a5043f1b8afaa91a346bbe53bf548f071b417634f558458734.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e994131b1844c206542d96ffff404c4f16137e6a9975b4fa6a28fbe49901426.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2e9e1137e20ad70e1a329ffca1ebaecdb2cb162d78c38cd3f1ecc7c3a6814fac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ea7b5d706f8e05e3e132e7b5b23390493e0497c20356578579d8fbf8957120c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ea9b26e2d738d07e71a46c461c6309e416d6fdbe47284cd5297ae89345a4962.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2eb6fb4754903dca74330ba203bbd3ea21bfedd08aa7a8c41bd07dd0b0d889f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2eb985755fb4377c4b67768dc9969cbada8bac867fd82bef39b9a81d0039953e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ebe8b22384ce61dbba8ed54b0f71a3ec09cbe7e067f023b92ec465373a14968.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ebe9308b3e87178e3ddd60552c48ae1970d8ab05390cbc7864ea9958d01b1eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ec309f6f26273c71b13d6ef41b5ad27bbe82a025380f8d26de5b0cf36973759.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ed04bafb5224467ff971f4f4068cb73239e5d57d09db91f4d335cc2b4a62672.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ed5ec451394942371a97f4c899de0c9a610171da4575a0c626729456b77551f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ed8d1a8a626e6f22fd25825958854ea136c6efd8bac13e4a1a1197490b3d997.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2edce3d6c22f44beda132b4396b9cb405e256c4690aeafa65b4da7d9288449f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2eeab32b6ac2f616ea867ceb090db631f9fa96187287b0e4e861ada83c52e726.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2eebc02a9d00c6ca8c7f0f6f4c86578783f6de9ab17041e5ad103f2693106732.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ef302a81f1e7d9ae4d4e3aa65b7626dc6ced4a1cfee95e2d1081d703bb7af76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f0744285c32f863cc775deb2d1d928acf8cf8ebed8e92a9c0889d5526f77a03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f0fd83c2a9cd016f05e5d0b677ffb5aaea1826bd608952c652934f3edf40fcc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f14a814e1e8f519a566764de40f20329311e081ad6dd872bdc342c968908667.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f204fcd5bca9aa997088e222cfb20c78462cc3feec88b14cb19f6f536abacb3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f252d7958eefb886d29db1f80a8b50d53d10909fcd565baf3a38ccbe3e5da02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f2a0fbd3ab88c9fb6785033202c96f2eb1c91b310ec7ff9251aadf087a59cfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f300b643b21b26cd466fb3a1701f7005d96a88a222a923241e9a56d0620f086.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f38fe3518fe297cb74554393ecf3cb256e30991b54992ec2b7c1fba19c61cf6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f3ffabbd91df4ffed7f3c85d7f5cf8cd883c4ede88a651005d2c4c0e6c70857.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f477821c8eb09769799ff6946002014459c76d66942b854d76658e5dda8f849.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f5b2f95e5b04672304822ed7351d04051e62ca154574b7359db07e421ebb116.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f5c245d7e433c485b2124b03fc566803aa95cfcca3702b1836d5158c34aab06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f5fa90177889194e5bfa63919c882d7a04057637ecb72fbeb34b3740d7b7846.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f6364f1688410c6f6bdfd628f63ad00c82182a115d6821b776371bb1ea6680b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f66bdecad7d6daf0c70f334d7f449ad27a2c814ea11a515be6d75ef2c38e002.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f6db71d79f9fa9a31fb5f541f4850e54ed14aa976397857377eefcd1770866b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f6dd1cd6b9d3f4b88b252f4e9d00a6c4fa00f67c447e6c508f88361f69be383.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f751adf35c2112ad9d45f45d2d9af507abbabb605aa803568752ce7e045a575.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f75e5372442df17aad44258d2239fdbbab27e4798992539a12c614a88515edd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f89c33c72fd64fbcd6ca95ff8568cb21b730fb8ce3276dbecb98ef913c61f55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f91e5ab203e55e55e6dfbf491cce7d477caa8bc16ab0d91014344bde90eb006.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f99543003a5043d6901081669f4a5b8bd54a81af380e9a013fb7bd7789d3373.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2f9c8827d519404b926271c4b42ab7ccb2c64e069b4111a2ab2023cab07a0ef5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fa7aa11edaed61607b897b1e15accdb08221db1ded1302ae8e214210a1bd6a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fa7d60289200059abf2efe9481dc2deeb55db0a521b78e3a5293952f8d73c7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fadd907ac9fd9f9e458db9b6d0856aaf0f57b9529bef4a7c2d64233c2bdcc46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fafa996329d3690d7dc9826520cba9e574390d4d5b7d3567c580998534ec2e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fb61bd724f76393a70aaee381b16f15b73338dcdb2821b560da17a4c9d8b057.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fb9a3bd842ff262a11c5cc4900af0b76706481aaba75d5ba334f97200a2dcc9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fbc9fd23d162a31214c9df99ef573c15e3207c6f504a48217f1e9289de83574.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fc4f66d29fe27fdc225987547800536ce5af94790b406bef20424aa8359049c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fc71ff3defd0b544f049ea95a9f93c2775fd14465fb14ea5315e7c90ecb4eaf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fcefa13406c72c4f4e2c18950c73d82f289863cbad1ed3e0355e584ebbee77c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fd16da0b59466ab2ff272bc8fe70cb57ef3c5b1f23e1a4c47c93fd0330dbec7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fe7844000340f8a89335a07a0146f2c0079c68d38a373add3ce9a192c1cc152.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fec59779a5c3902ed61de631aee7fcab42e9dc6c36e03456ef9844d6fd457f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2fecef3f3c2600c3d751487c24de2f4e80cc48a187ce1ce9d13f9e89adf0e2a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ff0637db572ab68da2c948a0e62e44bf0aa5178d6cfe6e22ad2ddbf8a3eea6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/2ff48586771926da7ac95923898ed1818153f2a1a4dc9691012199b90075282b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3001a8fa612ef2cff59f81810308e6d94f1a206883d8374ab41d5b34287700a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3008971872bf947d38f6c2e70cba1cbd5763d64e571cd8edb3d11bd19e9e2cd8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/301df5717ffba5de9b40a84efa781ad83faf05a9622c3d1ac22dbe23a6cdae88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/301fa63700809fbc794e9606ceb6b1ac673cb2308e81b84a4eb98dbe9ea4ffe8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/302282bfe4706d7350189afd77a882bbc7a66a7da464cab8dcd83e89380a5ea3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3026e9ac1e53a193c88e5609cb021524cdef9f90f71c7f091838fff366be64f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/303066e5864ca7c11e00bfab1b7b85032e4f1eb0eb6162c73ef3945a8c182d61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3030b941c6624f259ed319b70cf00f4836cd8ee1981ce16a2affac346bac2cad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3030c2265de131eefd86d38c87a3b5343db2150f572435c4284b8a42fe701ef7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30319ac506aadc168e2e557fe4af17fb43ab95350d47837decd45558605052b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/303e7a80d827a9a4843935f7022df373ee2f3bf17df636fc5372ac8342983ae4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/304371884abdbfa410c6d2c222566cdae4a1b9c507ab371f91a0d430e3f3bc33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/304f2ca66e2f847d54bf8497934debb8387bc44ac080a20d791cf0efb3f22d7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3070ba0d6b9fcb6ee055fbc0353b61a9f1e9fe8cadc44876603de2fa77cd507c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30754fb232399b5e733ec9229351de5faac440261667c56ae3c46f277f78b81b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/307a1f7f2c63a83266754a981e4b2b218697e698786255e355e1d7372276c998.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/307a89c3cfec9d8a108c5c31f471fcc41bd7a65a3e9c22fb47e5e131ee21845c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3080e4d3b54a49e8fa7c61ffce12f344ab0587df292e6ff571191c25da8f8de6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/308f0149c1e119c47bf9bd7ba9f357cd51c30ad4a7e8a9404ab08698e83cc37e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3090e2d9f85ea32aafe7ee321ad9d0fcf50f7c9bc731f33e822310dc18f2a59f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3091f48188b8fb8f290b17781729ad76157e6d4ed20ac5e3a8214cbf35214bb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3094d8fda20b71127494fdbcb99f3dc44b05b2f17f12c030287965bde353e733.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3099d7423985e2dc729a73e66adafa7a222bddf9fa97bcd12b436d067d861298.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/309aeb20bd5ac0c8b97ce6e91a2e14b68bf9e61d7a64b4dddd5f25342777a84f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/309ec10e5f7db188994739ffdcdcb67ea26f2806fa312822a89a239381b5c967.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/309f7a374d255d8cc698e392b1f23f573a1ef55a4e392f53338703bd5a950e80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30a1a9c026e3c11596f31b8b55b6ef36bd462f1733fc89ef494f1d8b22969b67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30a23e2cd0636d27181c507af14e625e152986c10c2a9f78ce4d503cad580e1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30a3c890816305f9bbeb9be57b746cf6b6f062a5f117dc6c6420b48ca48fe656.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30b24ae5a7f942f660f342fb1b037bb3b107d2c18d015611efc70b7619b8eace.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30b533104a193e3b98cf601e8d3f65c59f2dda90514ab298e7005a3b0ed189d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30bc78708e59a7b278a706194d69a6b314f42cc25dd842aa9e0192171bff5879.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30d1abf3311f6ea1846201f11c02282b134b0d06fa5a86b59870cbbb4bbd5dd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30d86c48fe9542bbea35ccde4c7103d08d99bb2adbecb797a84a08a4b2365a35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30db17aee76a8ec39446fead996ca1cb5d7f73b2607f11ec4dc9c9995c8b796c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30e1ce60dea4a277ce50566f26207c63bf2ae88af1f631a9cd561f8273ee602b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30e2dfe2b724f688a01a86c86471a0420bbf16969e0532782d1559dbeae6d35e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30e5c7c6f04ce6bdd217bf530b11a1575a7e89bcdf10e5391cc3ceb5fd657220.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30efb4b537de29a5345b34198852fa7db5b22ced0dc49461e115d509448f7435.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30f4af2dfccd041c02252aa69485b6d7d47f30ff8f732df8dff21233e4478ea8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/30f97a208c00fa138d4e4e9257a370e84ba5e9fba68d45683cc99609ceb3ba8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/310dc3a885b3ffcf851b7e0d57ed7645270ea7eda1b1e0551f620ad5dd681b07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/310f1aef5a8eb2689ed20c8f500209e6e1082251e96fabe0cab195fd6f8f3fb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3111cad898e1b71bb05df044fd25a56ec93b0815cb4c07113dd998784b32b125.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31131ee9cdc48bf21450743994545b1d755c6f810ed6ccfb8858d2b55a1419f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3114b96f26716a5c1731be9a721112c73fc234a69ea55ca232e76e8f4ba064a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3118611b967d00f13aa9f1cdc106c0d14e55e27a7c9a35012a46f0e7d5a86348.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/311f05def8cae98d6b1363c24dec81aaed1482f20435b498b274f29b55410a4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/312ad6dedf254eba792484e3eaeff4f406c6986a9c72d0e814e165b9311d3c29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31398649a94850f4128af1de26b87961bd46e501468b880100f52f90460de37f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/313e2bba9dd45a53ecbd49a281c99cbf8e8ebe23d13c726ea120d9bedf224d12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/313ed6e3d2b35c47dae8f8e4d07e28fefd8f3840d1edb245a4e3f78bf8d132ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31417e84aca34a82e58ee73e157fa84579179a4e4c3cb0566b0386ac6f104a9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/314c47c9c437e2b429345f20cb05dca6d1557c7af0250d956687377f3a426278.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31584b9749f5df576386cc46955ca0151804fb9831d480c0f4f6adb0874f46a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3162a4462dd5c2e353d8b95d2dba070e9923a97004d380760e5d27b441ab4301.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3167f6b96fc9b81a0fe1c5030a713e39ac44354d78488b81d22ab470fc457436.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/316cc144cacd34604752b5825888d954710edac4adaaf182dd2b84e83564f161.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/316dc8118f96f1556b438c8f70b28b474a3c728560a76fa2eafe4046dca51caf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/316ff92c3ac7f71ec3a033b8bcfdf07f86618ea9e417bfce59ff2da18b5300da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/317308d2214e5f6a8d9c89390130d9bdcfa9e60c4ec68b7e4f7fb3deb25d14f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3173e0a231a95b100339356d08c61c824966270ffffbef90724c6bf4d11a938e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/317f3ea66357f3299c9bd84251d7c1a80b5e10ac0839e4cd70748dad75745028.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3185b7a70b8ba76374457ed19838e84c1a58433511bbfaf800640437ff4df482.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3185f135b363e278a7ef7da304249a7c44d283d4d398f3132cc9d0f1acd1d85c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/318670b2ee1f034932fcf2ae5edceefc04fd865a860c7f7b2b4fbcc0d8dc4e50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/318cd3f30c179460ff5941599fb09761cb7fbe56593f7e75a6d797de7ee489f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/318e416cf96dd7cea02f0c0688d8aa06397cd1234ad7ed22493e570e95ff73f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3190f57a7e05e114adc5c23655b8a1787712cf9fbf083fa2231d59a4e6e50406.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3194460656c3559c1b76d7f8162e671139dcd12ccbf23ea8aaabd83cb284c7c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/319bf305e5b6f3da91abc264da4fff8f20e5348c54799df22ce4dd073685cd66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31a25bbc041cdc3895588dd50b40818ef3239cdc3f84d9cddfba8801fdeda9d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31a290b6b3f41242b617c8040f633613789255bf753ad5a27e4b6d93e24b1d4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31a963808a9cfdbbd6b0423c432fa92e44e83ee5d0dea8a57fa979bb83bbaeff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31aadf4633de6110055d9c7ad4ec3738a871833d3d2a86f4266425d15990e1a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31acba93f231dac7b53cbdf4f0c39ea840d2f7fe659a08bedac769d20f5ec25d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31b4b2147031e32abccfa0034ae0504d7e0875ac44788d2395ffa4595cd7c95a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31b68989cc5bbceb53a3201994d26642ad33252cf8c102c316341a27ef3a525b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31b8cbdf31322c4282ca2aa17643b0783dc85893339f8fc45285dffaf23a9012.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31bac3c3f1992fb2a1bffa9b8fcf233a01a3ce9b4b2d3065bf3faeed4bb44f61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31bbfd4fa9fdcedc2dad7138af721822b5ef7b23bd5fae12be6baae4e958ecb1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31be12fc8237bbd7b4cd82326d14f641ee815cdefca2cfc79dd54bdb6f3667d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31c4937209aeefabec65dfbadd445b1abb09973f04bc485a123b6efce117f555.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31caa2a1ad7ead8a651f1f27fbb072742d53280ec66c1afbffbcdbadca749a7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31d856c7c270fc6494ae97345f373dda6dd93a3bb1b702117772804ff1b801a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31dd2070a4adf00273ecb246870711be6f04940e9c110e737a66b3c5a1d6c8b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31e1e5774112c0afab84e69a2d7f0edc0b864208266099f73ecf8e78ffa00f29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31fad4195fa842ceff4f49a32b6fae57a3eb5f4d21fc8e1afcf3897a2ad211ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/31fda485c7cf840ec5debecac4559e798fedecc2d4fa53e0fd57d64717765881.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/320c842f8f5f30c7836006d051eb98d5f1347739ab1737329315896ba009017d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32100ade663602e2254e8189a40a23e6d89502931bfd848ba2814722850192d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32113bafd66686ed0a292358ed47b5abaa0aaf19b0c1061bd6bbdcd57439760a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32182074236fbab25a8eebd6bc6b1ea915560daa409fa3402bfbd5525fd77657.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/321abc1a6d929490f8c508fb8f776c3b4e671f579125a7104244ebd96faf6bd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/321f1cbf8d58c1aa30b90d02a554dafc71926d7f5fc675c08c9bdb97c1fafaed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3222af2c4888630a0b6abf5da4d5ed0c71f8e01e5105852ebed0d08e09774dc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/322c5e4b680256756310e49fc8bf4363cbf55e36693e487fa5560da99b4d41da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3235d072fa676d51d517d108748c0488f242ac70815dcc49f893a9e4bfc401a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3238d3218de929901ed2841855ca30704289b5470f13e96307bcb0185aae39f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/324028dcc94c9d4c7c5476691089f26615dbb4817477447961ffbfcfae014ee4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3241ae1bb53f0af04ebaaeb5120fee6900d4fe1a4e98e8b2daa934338b43be16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3244741233f98ce3d759744109804e317db97e2e6dca2567c0dfe1a24eb4c550.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/324a2eb5e5c515fc3dee953f51b505ed55bb50a8233e5667bf659e3b7b78fb0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/324c8484c05e659b19280de0f8117317577e2044704f5047fe081de2cbac7d96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3259c9a60c1ffebb2de717e0d30438810eba51eaf7a6324c70e9875c32d91375.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/325dd1569f7878d947926bf667dea479c71d367f594f8640f3e17e9dee9b8a71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3261cd8d1bf02ab89bfc39bcdbf861b86ac8b6e1f1bf56f0337c3f27d44b9ba2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/326521695b71ecb63f80a87ea421a08c3bbccdd6c33057ebcca51bea5af15d96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/326582a7bbe7791020f8089f437d2873946ccb4b5992de324cddec790a046ab7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/326791607ca4bf71bce93fa45d73e453fa658c935d0b9d07d5e84cd050e54b24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/326abff2c4d68cbedeafd46e73c8f0cb6e4115f169e9eb9071d028f54f99c5cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/326b21300f0bbec1b199104b8b6aa8c9e03a9ffc640a8ab24aa77090c04bf26d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32735d19070e947182431fa40670ce94adc7f809f5ed5265f9d285198802f0d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3276f5fa0c8edeb181b31f0b008e2e0bb4c72902248abc5713b3d9f7e33de220.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3278d9118c136b824f41de1c1eb6ba64bd48c2156c602a3663e71d5c65798094.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/327d5e3de49631ffc04e9582341b16a9ae70129ddd814d6233d749a6dbfbfbb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/327ef7a8024b5876f4ebc5dcdcd11361eb0e4b9c9e755ab1ba80482d4c1aea05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/327f9a47218204b7127d23929fe42f276e0b8c9acddeaa06a91d38b59e7542d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3281a335d1b40419acae8e691e44cb8affd74375fec04cfde3d6f99e003b945b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/328a967beeca2eece591fc5b2f1d93e8a5b172aca19fb1571eed08709b3e6c23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3298ae3fe0738c687e044fa4118d1336a8ede3651646deb1170ea0ddafa2c357.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32a5be001ee38a5914a0c0a6ec4ddc33b872fd09d0d9bc3660a4cc9e39c2577c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32aa35b0738413c2c360b5853ae63dc1f39e7e0e4b526963aebbbad0453f831a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32ac04e60295abceca489cd6778597ed022a23148dfef58da693285c2f1a42dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32b9ce3d5fd7dfeb89e53239094375ae483adb577ff47f49d7f619cfa2100608.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32ba25c1ca67de29993728baab7244be44e2e204ffee5b34c841bcbc84810d90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32baef4a20213bd6a8b57fc825a31277a16fc20f6e850d8a8ac1a52ed2eb553b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32be59c54a4026eead9031a8bd3b8b06d447ae68549afb09dcdf0f237dcd782b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32c999f257448a23f5b0ef139cb6abd914361051941e6045b576ec5edfcee7ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32ca7c323ad456697723c18635ca48245b8690b909b06baf15331693e53af636.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32cbc12088c103d307434fb135180a4a70d6db7083cc1029073169c868f475d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32cc8f3e59fdfd1b0aa85a70b0e13b6f7ab1e531a54e3a04de346b0cb66c4cec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32d2f8a34e8096080522b55820690002c39f494e433b2048c3ca6e0ca7ebe997.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32e524f000114b55a8235b64fda473cda220d539e292ce7b25aed3b418202b7f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32e6c7b615fd4e581a82a512c66a21c4eb301d655359b99f3a2d96f7d5b69378.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32eb8972c37761a065fcd7d3ede317488ec50b61133a97889481345f11ca7e67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32eeb912c2e2e4f0acd97cd17c61c17b33f041631d602867d8b487d7729aa538.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32f43582f1959d90dd6a6d48e726dd6ee3b723002e56078bf5c53ed1b6909c9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32f5d1fdc4440cf7e99c7b4b23110f6d66e56080d897d188fdf8696cf745e547.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/32fe62f81f85412cca85cf4b91743984fe0b280f8efc789bf6b270fcbc64f5ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/330afe34f7d36f2f77233fe6a9dd4b0d13521ad3075060d0de23433ad924f377.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3310085116fcc38d48775d9162b984fa092e12b333087a73213044fe97baa789.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33138b24a8d3f98fc9059049e2f116a8ff4d471b005efef31266e6c7a97c65a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/331c9b4858513a4eb81961e9216ac8a3c271a9bd18655ad5d2760bf253beca2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/331d3d83037fca3ab3ef803b4f4df2a04a21ab9d17e5152bad2128fac2483e08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/331f9afe2174ce0044c0c71f4fbb256561a336f99c6469284ba7504816ca3c07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/332017894b5519acb2fb1fe608262b75c4db5175f3dcfca55b16035eeb44d82b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33263ec16a7228e5593ff999b40f84b24084b5ef0f3f6a096b6ca9055b7ca89f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33264f00f923496a1fd7e79e9fa6ff47245a97a950451cd3f6a66a462530046d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33309272e6dd46a88d16c4441223174372f0f528cebfaefe08a7c7c27d76b476.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/333eb8af9aace59506f412c1463511a26149ff4daadcaf1f49dbae7ac3073a7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3343853650279d89750e0de15622867ac39f123d6b6f444e7d336f7c8c1bf2e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33438730409fd5261947fa3332dcf3b692e455a740b8ce7a9bfd977c074bd12b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33457f2c40c3f11fc14ece754f7a751169e90c3a0a9f48976f7b5d3041c64ff8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33472cfe53419b2f74b773c827646973da17f3ede1ed238fbb7ee42e37a33430.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/334d8de263cf3a55abcf63409b0db410d6423a5c9233dbe270ffb02f552c752f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/334e9797bc4ed87b61b753bf236c05257e44b390398bbd2358309602af460512.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3353977f6d0bf97d94f2d949f70a8193f70a7e323f7f73cb30a541194696e27c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/335f1ba3c290860ee44a33ae74351d6bf3fae6240b5b36db5916f3c06aa1d598.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/336220c8d5dc582cb70a7f37fbfdc80c134c7f0f7cb4f1ce8d35221676a72696.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3367690490540dfa75d20d212168b4c609d0b72fd214da3a57200370c4b94b12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3379f17bdeaad1d5a19707706fe9a631954d8a75e70d29a91de9c7b590e96b3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/337fb2bdcd2264f3771dc040ed67a28c536758d829e4f6d4dacd7166975a9d7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/338b030d03b3d5cf8cf6817716272ae2e1a41a2324704f9efd1ead904331aeda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3391f28548825ed3880cf0292b06add1e5b5fe18187e89fa4b06dc311b71c48d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33966553b24ff96778328061558b13eabf9824d48e167042d3fbe7e16d001553.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/339a7bb6428097d1106eb36a590fc0f820d48ea93d2ca0b1a314e6023d7ed1bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/339f3e75175e8db35da6f4770a1b9e73373adcf32a08f6efa48c9244e2c00419.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/339f5e4d626df5340dc005c0689d78d9127efbee203503f3147821b8e857a30b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33af1506a780b274f5bada84f21cd9b6057d86e4b6f49b1724a59a417ce81bc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33af1fafbbaf1b70da583cf9c820d0b4f80913bdca9be36395a3032053021503.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33c130438deceed8d0796221d45ff09532d7562dbbb8e035047f1f550b8c936f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33d490aceefb7672a29061732dfde8bd3cdb85361d0183bd9f4492b0731cf5e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33dc8689a07aaa82896381e5ddb0efa9a09c2ed5076ba8d4c7fc023e82fb2225.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33ddc69cc6d53beea0cd3754bbd2909c9f051685b43c7154756269076cfdf587.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33e602454b726f795c7c009c91b4c36e845a610b36037e1cd75d2a81d1089f44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33e6f7b6972477b37fcc4c559abc17d50141883ef1070f3ec9e972e8fa4d7b88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33f4de70a7720b9a1fc40a49549fbe0f3d7e366af1a4d61ad67eecfaf9780555.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/33fbb2d214b8e8fb3629ac0b93be82f1b8a565069e4d477bfccb05a51625c475.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/340c9fedf26e6225ef64e65f70fe1bcdfdf51a7327b36f63971bbc62785f14aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34101067c65fd85d7ad89afbd446b6c5c098963b1ca97682083a3253b10285f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/341637704dfe0beeb4cbad22778db65d9c7650e9195e2bd0dae93bb6ada72639.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34211cc9add0ea1aa846fb4c98de42d487c924981bdc386a0c64f29025370504.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3423c5a437beb8d78a5a20f599ab141e09ae3f0b1f5d71b9aec202e2d75be374.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3427affc2b3a13051f365c7709b77558240f340c4802affb1d52ecc4a1d97a2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/342bc6eab2b6659cc5a760a95fd6c8acc2dae2ca0617cd2556460eaed1f6c160.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/342d5e86d3f6834e899e873f3c3a83955218ad9f28f21e6db0db0ab1b4b0531f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3434c7495a17e1e2e23201d432369c79b2cde29c299d75731fbfe0d1b99fa1d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3435600f1da71c518627617b50c5e87a8b71426991c1704293ce47f0233d52c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3447c33db07723928d2dcf7072b6c2a06d8f9b8892c1a17d22805b1858275e00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/345683ecf12aff37487121331f2cdca3baf3c3fe9906b9118101cb2c8ebed5ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3456aad1d91f13bcdac88e6aea45907a97b7ea32f1b68447800159e6b76e12f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3464db209274c49c1ee827ce81d324a68ada9d18c1dc3368bf4150340626ea0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3468d047a6088fd2f050539d617679543b231840901cf16b2cc3da532fbe0b11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/346d311c892f7997363417bf98c1dd75b887e989dbd91ab25dc651435024a2c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/346fedf09a8467bcd48aff877b3d27485e4fa4a7de23e2be32165cf9340766ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/347be2f76d577df9adf301453c338bec0655c1bacfcdb613916d646e70406b77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/347e4e9d6d4ac5d3161ab01338997e268f76cf5dcd90c982df8096e61d4cc0b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/347f534306633165319047019776689ceeda51b525008d392c2774dce68a8656.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/348110f092ea338ff117a330f66542ef1c82a57c09a02ca2cb819e8abcb44911.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/348a00dd59c0f41bab4fe66d675dcc90db1ba5f52352a472c697c3735483124f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/348a411a445f51a427456d1444c227b3699abf29fe17ca00d7fffa424a65c215.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/348d60609c394ebc4ca7c841ad02d1c920dc10dbf5c1e500d7facd36b266bdca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/349a563524b2ed67534a626fd0d941250e4cac4b1e2bf8d9c9a56bbcbd282b7f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34b25948170e86572614bcc5a408e068d57361ed9368a6ba1954919aac64eb4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34b2659dbe63dcdf8b3406d4b052829e836bc185836f3497ac0c6409da6d6460.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34b2aa98cd6863fa4a67a31e1ef6f3d84c5d50a851c09c5cd7da73aa808b1523.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34bfd3a5382b0c8667f95637b731e99fe26765b7467a5063cc6ec7ade42f0fbc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34c7ff688b1321272f4987b986ce96bbd00bd20982ecd41dc71698b41097916c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34c9826823bb75f645f977a15d332c456c2f0ba2e79dc75b44c5ab324a5174ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34d26737c7f912f2b423c22c50c49eed974fc2404b3a9fc37bb97a6925e666cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34dc02da99cdb03fa0faef842dab3b7cf1440f6d8dbb87e959cbbc68112eb2f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34e302ed86963f075a43ee0f227e9c9a5aa1e054c6c617b6c49ee037d83035ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34e327067a5bf10f7a870342db088f27249195109dc44b99217872e420210819.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34ede193d04b504e09517fd61f34e79c9d1b0280f9a6cd25a27a81097c34ab3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34ef849549289ea11f3b9add1e56a17b0c2132591758cf3d2509e3e92a631743.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34f4c14b00f611236bfedfa5fa0ce213e1401f404a9603590d083d50f669496c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34f8db96303208c762ba65400b1e3e4f362aeb4a995e3f9e580d9ceb0c334f7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/34faa2e657e04e95162e37232777efe4247b9b458d8d19cd51fcb1d9305553b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35001433ad0c62cba2ae6f9f6694b363f4a02bbf28115692ce87244199dbba52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3502a1f795a562a7b5654c7356ac63c093f317dda82eba3cdd74f6d689098f2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/350a8e85038e070aaeb7a4badc27296f37086c2841a054396b4b72b334db987d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35107b13b9b51128074687e2435a101a90e02179fa6e305ece69865d6075de30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3510f543f734782e490b6363af2fd6f293a5dabaaef61364d61c2611ef7cb71b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3523c6de463b77e7cba733a85473b2f1380d5ead1c6f9f72bc91da391ea9b688.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/353a41369cb309ed3024819845e6e12a74a05a4c1be6b7a44f9ae4fa4a4706e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/353a73a09f3e9078c5ddfbd9e53f04c0746d52aaa46e72be1453379f71de248f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/353d75f5ff3dc723ee2cccbda1a0351d861f7c1897b3a5ce6e89ae35dc8b4f9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/353e24c1abb7b82429ad643820809d27796342f125137d5bf7fcc64c4117ab40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/354372ae18259e11af54b42ae1aca8024eb572751ad1c519c9fafcf4ea0ec726.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3546f1624a6b172a8ef5c9c83a5c73f9150f9442d5aad2b9bd82dd63b14f949a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/354906e1f2b8f3a282491b7414891b897e9ce4e6fced954fab1d38460cec0158.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/354a19ea9f4cbb268e4ce70456b1b637f8e3059224e3fdaf76d2085521d2fe78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/354dbc1f5e3364d2f881a526ea61de9a53d265e0972e86f8d2bd2f677fb8e373.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3554f3d008cd47f2c1bb8691c7b19d58f1bebb6016d35f5528245a34ff6cc1a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35550777bfde768ed225fe9fcfb0a18c7eddc56b5c2b0fbaec60a94688b2d3a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3576a8d2f58a9832e93e54790c29ac75800342b3c4e2dc8ef8a71c7f71481ab2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3584d930633173501010fe724b7f6aadc49659d0c2cab3e038af529b480ec3a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/358b4b807c481adfd699691bb8c69e928c10aaceb899087858a78766d8521c86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/359177b5cb794167f42b4383ca139b342a5019ebaed6dedf8308fea89cad02d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3592f3aeb309d2e3b6dd23e6872b4b74edaf46a43dc1d1abeba6c4b76b8c0356.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3594d61b0aaabc9e56f11cde291bed35c18321ee61304b2f85f672d568b6dd4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3595914a55a60bcfe192609b34ee1cda322564442205dd61afb83a379bc28495.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/359a274eee2438c538fa2c16ad98bfb5791e7100d291d11b3b4296422d260599.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/359fb011ecc460d0c3e5b53822d618eb9cef126288476552ea9a023bdffb89ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/359fd12f8827a5114a20f9c2613ab1305b585ad15358d2f7962c21e7b03694e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35a47fc7765601ce79c62190ed312022a7954fcb7e91f5ec639b44f1d96202e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35ad50859b1d05da3ef520d3eb2ce2d1434d9298356480505606e5df46074557.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35ade97a33abd714ba783a83994ac2fb05d43f64c23cc62f6f0ae0ad04e8e1a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35b568ea18e47dcacd65c2968fe41a07c9fd6c0e612a3eed841c59d445296266.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35b6f47bbf928509954c9af40ce4f4e22de265a6e9eedafea81dc52051c2cadd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35b7a678c33ce8dfa435142f57175bb965d217b58938ae4fa7229ad96179c04c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35c47b0a337483daa8c601d76057602c2f1aa072896990c0c948238e8534c9d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35c5625320a68c2bdba5ca549ea2793276fdd6bc4663fd23b28f18d3d91a86d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35d715c7b4ff725925bceb8bf40bab33f877fba6145bd967ea12dcbf008e7a6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35e0d5eb4688208d1df2486a5da65d0dadf9e762b250fff224ae32510c701c3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35e10d9e2951b85cb1ef3dd9549844d97e51d5749752ee31d4971415f1bb035b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35f3237114305ae6fa7843d529dd442ef996667b3fa526ab8b93031b0b347af6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35f54c0c9e3a5b04b36e68197ed2d5523ea2acf2890fae17eed4a5823a871bc5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35f6c4bfd4503cb599293aa928cf8e134f5201c93943830160fdd9b0646373bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/35f7df9f8bce4b917b40c53abe2674a03c0e55a6459ad0faf33290f879258ac8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3603334a9c33d684ef72a7925d114d1219b02aef4d981986bd1e13009680013b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36082fd42b79f3a192939f74daefc068a888288d19ea1c9859b7ad8537719c28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/360de59f3f575aef40eb075fd61e96eef463fa99a27122222941ff6b8144b2f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3610c1375e4930f16a264aeab88140d0fc7f9e1b09f1d243e42cd7c87fcead4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36111e3c82015f5d30b594561bc42aa981acd89135ac1360d443141ad99d909b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/361791e2421515fbed1a798f12c7a4c4f5ccc9f6c0b382e239b8c878b8b398a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/361a75012249d974007bde617deec6187610732f47b9cfea5d94443d6bc10390.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/361b11629b1aee2215a48ca27eb5120b340c732e412fab5e5c1e150dfa26b927.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/361eba6e1d87b0ada9aa0017fb8fe4ce230cb198a90d61b297afda0479f67a1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3624113b06e540057d3bee99a902a809da2c4ba8b7834dcf59148042e6293b89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3625c5f5cd6eb8322006c26b58372bb72f714f416e62808f410a581f8595208b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3637eb70cc4bda50cef8fbbd98d6a1b00bfd04b55fff7a2c30043970ff645c39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/363cf8dc6854706cf05cefb0030790ce4c000bb7ca09652577b3e8f1218f9bb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/363f5aad16286edaefd017fdbcb6ddb54a634f8e93ed29690e7dd3131742f756.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3642df8e76420249f3ed1d51dd4190a5dff0fd4713d0a270bdf05cd0a265de7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/365838e3d01c051fe3e66f9320b629eedb37f6b20793eab149e8ee0f7360c16c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3658959123840dafb6aef73079cc67e48793f8b5ac684e800666565e69145ba3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/365b2d3ee536104de6f53273a38408d50db3818edffbe852895fea387f8111a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36605ba3403b3b670f3508f26bc6f73a3abaf8a86e582b68e8878fe7ec7c10ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3665ef15589f933fdffb269269bfa64314d51d894733d81ee09e2b27c025506a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/366604f31c7d08b8684d26122c34f0ec096d1d154dfefef5b97fefbfe3fcc334.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3671e4b27c8f73e80403f49a81371cf86237a902f12ad530c7f1114ef790fd42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3671fac55c2859065a443621b4e29bad583990298e47ad97b18651fa4b356df2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/367a4b6b4d65a9bd10180d7a19731f8db0388286f96ba07695f525a216d14a50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/367d69256893016f12cf3368181e44aa4873679431587c9989687a0113e32eac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36954095c5f28ae974eff31c937152f37c10e60abda2490683b906c62f4cd769.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36954c620b1acca55f4ef274406b488ebc6102198062a395c00d36150fc38eaf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3699fd37db5e8f41bbd9067ed2682e55dd642e17148ec578635bbc0b099c2239.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36a091ff8f9fc7d46d748d7e0baed1846b8b09c1d63d2c1ac2ff9e8785d246f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36a17e5cc05537ffca40e3945dd3d743b7dc5d975fb564687c0e1192675c61f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36a212680998fd591b74f62257441827b29f9b74678e47216d61270ecc63c76b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36a4da1b46c037f9a1ea639649d7a95bcdadfc3fe8033f32b14e0937ac1b1ac8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36adeba075635928230f19dff52e445843968fe0ac25202cc164d3ce1c550cd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36ae5c7cb1eaeb8e04155e770002ddaaaf8ce2262366a82f7b3cee6397918522.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36bdaa76734fd3aed093d00f3c442159ac4508edd5f37fd1b2acbcc665f7dacb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36bfc7e2dd5bfbf4f8566d2ac61ac539a46b7a817585afb9c4f675e3574ff63a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36c48ed4440091f68d19da03f5ea12e74370ca4d399ec6568b0904d350793e18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36d0305ee5578dc3dcc9bb3e5e6f910fd1bd50d0ff2eae0740b5f364598f9d9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36d0ff2eb46b33c7b83cd1993170e4c8e68759d6c4cd14c91135816ff9c1984b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36d94285c465ac5b2782d8e5fcc3fe4e5947ead13d2fe1f5eb23201a900c73f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36ed79ed29238c75baf829ffa4f2f1b3eab3aea0a5fd6bc822e7d71f21baaf54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36f0c9ac2a3ee45ba2ac759a95dc344662f685661b3e4bbe174eb132d91a67db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36f1e47abe3833b13500f58cd2d0099ff903a20be18c01a7e161de7f8fd0cd3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/36f5f51d2b7050b09064f411ccee58013ea8afa2e606a702cc43c5ba108bfbd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37012c5c850846e5b39f0529325a4bf9129ea0f26c49f97b1eb23fc456dbf6b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37040f0c3797982cb284e5d79f8e50cc2e2acf638319cfd46d9877302333cccd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3728dd585ba64a731adcf7240cf92f13b6bd28118d98f216aada731f4a2ecd9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3728e26b6cc3bee51a6ee55312ee3ef3686cafaa7cdf4d9720f86b71c7e488f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37305b10804bdfbc3d71b4b78412c6a1dae59e4fa9d0415fd1287ed777688dbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/374786a9d04607ee961cde1d267cad52887705bfd4088c58cb5d0916736cb0e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/374b377ddb6966f1127a8dac4fe35d0cd6f5aac4774d8b37fd3bbff946c11a8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3752b18f925883793910a2a530ca97bfc5444727b297dcd08f71d509f8df6532.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3754fccd325350e303abf5b78de17f785d5c2b46570d43818d6b9e202c4258d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/375ca5268597bf281b7e20779aaefe72dc5bcae7d1169971b3da21032b4e71ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/375d4914c49b3897d8c32cb9780d94d2a1b4357ad853285901949a0228af3aa0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/376006ec92b84e29138c11a6ad8f2fbf88b27c0a68acd931145a8cf7de11086b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37738e93254d029d78d16647959e5003b1265511c5449954f7d34aaa1e8837f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37768474370edd67561d4a69377e957047f5b7ea0917c21d2182d4adbd10d67e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3778dbb5a6c5826a9c6e6179bd192238d1ce6de2c26c05f432d161b21c1b5002.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/377ab24d7e9ff69dc981f588cdfe087064b03d4731f62b6c7b02f8dce1635303.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/377cfcbbf9dd0e37cca9c148e2e99470186ceca38135860d95135eac3adcd4cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/378076fd7f0a33c072a6046768dc5108f52e8a357e2e4450b7cf9645256b8011.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3780a3af5b21f62e04e9c6cf04994455083b12be9d152b1f3b83c94e64c27321.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37845df282aea144eab8bf7f95d9b891ca2121195bf1d6ae67405eb609389695.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3787e2be02397e1042280e2635599ce0766fa74a00ba2ab1c4455473acd363af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3798ce410dede906fe389a815c8516771bba98dbf1a7bbacc25fbb328eb59351.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3799671c09ab65f786f247c2d138b2c04ca2f6351fa3b0793567efdc1ff74368.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37a558adbd6d9df72a7e6aff6ecce7df1ebcb5c54fda9603d8ce47d35acfd423.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37b07ad7539b5ba3e54e6869c2859ad5209532df48b6a1e4970d9f1d6babd6fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37b0f5f2d4b1b68ba487e727a537346087c9db32cac447572d2351a051bffa14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37b8aafafbb35401ec0325cc8b9075f7b88a8ea7cbae68ac9b82741ea12adea1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37bccefe9cac46dcdc372bb67f65aa9e7ad41778c4f6ba45167f4a7b4ea2f921.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37bd544cc9b2bb09edd6f6ef66317dce6463ba1560d5a27d5576addf3374ef20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37be0c8d2720eb161c839087f3655547c5c51e6ba518b28ffe8610dc364a3067.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37c286e6208b257b973f9215d257d7954c1c04006c84792d5d27f528a71d8ddb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37c83533807276027be6f787750b274f56de6a84266b375afb436d46a2b314e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37cda55f0d02f2a1f5c8afc2d01e310822457bd6dff90a498f6eb4e9898b73f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37dbac400b8cac315879cb34d8001a21307d933bc2d9be72f5d7bb5c6fc43299.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37df14b6df1abb46492e768ad3625bb6d36cbb1febe5aecb463e1de087dec960.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37dfd433ac514818bc14927cd7c072af6452ebd51bfbd54eb24ff0d84bd0f3e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37e48f11aa7d832f6fd8bbcad06bdd010886c5a3155fe65a59be81ae32e71a3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37ef9863a5b03b3ac4e0e3591bcfa3aa730223defbdbb5b747ccd08111bb2da0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/37f628645502a3c802734c1f2af52a1797e94b01e2c8e2ee8a65d460724be241.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38107258244e5be4d6726c6b08d546ffcca5043f67d6a088eed5000cc79f25db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3815340dfc8bffc5faa60906acd602806763152e24bb48c60db1000d1e5d59b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/381e5c7a87f151e4215057a4753e01016a8755baac198d21ba5cc607761418df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/381f940285d618f64cf4b48f0749c494371eb8247855dfff5aaad1de0f674e59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/382b918c941c07d8c98e5cffa6ac293a77e83ea5e1bae94e995a40da4c81d81c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/382f91b100e34e4face72d5fc31211f1b5fa4e58ca35aaae3ce7ec0e8e783195.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3837430df07c31277532206d64078ed867005026f527e55df876c86a6a865269.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/385694281387723f2d954c427ed0aea76de1263536a694d5ea6d0a577e4bedc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/385c0ce101dc4bf98dae70c5468190693f2a9ade86d9dc8545f3217dafd70aee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/386296bcb8fdd818fea9d337d1d574b0949856e425da0f7491c6d6bdacae8591.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/387918d8756ff89edd544b2437837d01b6f866e496dfd410d2f2a1fc13ae5c43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/388004d076f4d0437aaa360dc4203135edc8fb54bb23a04c9f37a01c9bcc0afd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/388028e400902498b934d61fe73571c753d54b8a0a3b02fba0444a3cbd7956c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38815ac5407549bda0fb388eb20625423b7e518a1f3dd55bce1d1c484c2eeb9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38845cdb113d778eaaac81ee916ba2d84d2f407ee0f8bee2241af4df92bbaaca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38895d362db0bc9a4ed1224ebe2e5850cffc9bfcc1b8e933594ddadf555ed83c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/388c929efee5cacf71f14f02aa4fccb16f35daf3c191b6ecb9f7f90197cbbdf7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/389d7f09733fd2c249ecb351cae3d8aecd8d461d2e12aad60b8f86912647cc26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38a1400c42bf7e7cfa2f0ce8d18d17128253ecfeebe89ed8f458f9842a0490f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38aafeb9b5ee96f5fbfc88f2f31efe06ebadde49557fe23e1cc083ba7f380655.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38c24251075f05230b3104db0fb6c065db613ad24a444fdd7390a8cc72e133e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38c33c3b3a5e00d2846b7c1e6bc8b13e25261e81d2349aecae8bb02d2445a53f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38cd684c8c22d8ad01d0e3a0bb3cd98fadf49a8743634b7a7532d4d00fd4d9f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38cf31dff8999b53cc26757b7e4507cba3b90959380deebb0993cf75f2271bca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38dbc19486fdf67ad3c6a61344f5fac89efcae95ae776dc8e5c050ae80884a35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38eb02d8b45e8f9270017069f053db5487e996430bf1caa793002b157c223348.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38eedeeced19c572cd40866534ce52ace9f43c72ff6f5d4fa49c80e7cb25dc1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38f11ddf93e894b1e3bbacf22ab4a9fff602c571cbcbd07b4baa198d3544cfac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/38f55f0aa1e3c5fde91c4f21d8bf7b209bdc75caec2180ef8593d55f3be6ecd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39075fe894d61d1f337315220ed0df5a192123abfdfd1d3c3d9cb4f45a2b3827.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/390ee362a20b17f8f0f27abc5cb55e40d5c445a7b60ebe054781580dabc4d7a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/391292dade4a5e7c134d230c702abc28bca009bca78b68ff546c348ff0dacd80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/391eb52e68d6e175d76d2e4c941f27b13bef6490ec214e1dda296c9f159306b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/392398073597578b9ff3f1ba657dfcc521210e9460a95446f36605347368f225.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/392752e547fb0cc7dce6026164c92167ab56e57bd208d51aec4f7ea6fc0b148a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39280d3b2b6e59e30f9cdb1250c3c04140e88d458e1f61b1ba1d8be6fdde4d2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/392b482df04f931dfd3ddb5df674fe05aed2433fa78541e299643df1235031f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/392b5fbfe798fbaeb214f78e3e2baf6e5d2da381826467535680ac7cc3b39da8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/392b739d18c9e470b9069c8c8e26e2a819efec0013045011e1cc108a0b4d7fef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/392ecb56634632e92ca3ec8c224da4f465466c2e77e722f839c4419c0effdd63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39301d4fb3262401f669d8eb41ec4ee2e39702bce2f317063a6c601a29a3817c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/393de12a2d5f32e9821d2fe5a73f760a4f7e233626202b379f059c9e04c231cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/393e2d2317c45663bf263ceb8013bf0d67ea09f64c4967f8baa8c8e2c523f2e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/394195b6020412b1c701ecd6f971880adc04fb57d978ed1ca17ec9e261741fbc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3943dc1bc17df8710e0d50253139f37a52178f2ce562282ef583bd63be4e6631.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3943ec8e8068deabc5b2ab1f1928d663b1e257fb51f047d053088a44731cce5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3948fe0adccb821d6de483043c4c39f195855429ae3f9ad91b41bf4be1e499d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/394cc8c891ddf3337a4173de9a44167d574f514f6945560f8270293a25db2f04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/396213ac153f3b418aaed218947e881f545ec1194b8bc88d7cbad78fa2dbbfcf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/396a8494b05e04be19d01de738b6291dbaa2999829449c9c425aeb100863512b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/396fa596549acf66cdb46133aacbabe79cbdd8c5cfb87adfcdbb7afb54241c5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/397b3cb2c4cb1baf0e52b8e519957085bb00b722a02066c0ec4ce7cdd9d554aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3980e11bdb237a8d1197b3140bbc497a34a84c77575644884797d1907c63b912.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39a40f1dba2a1b87296533afaec10b115a88376e9e351bf7bd53bd06acab261d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39a67b2a78a3a747942a51926f30aabe89a6e54a07d71db28d6e146b69cedef3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39a9cf285620bbcbc7737e2c03adc2dec6e3118d7a8d8677afdeabb703d0ec53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39ab90afccd91100000f524d4015a0e17ce9e5b7141f24e1d569400d4118cb80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39ae047803cf1917fd7311d4381786f33257943524e5e7da7ab680fc7669b47c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39af0f3b441bcb2d0112f425aa1adb577841111040479fdc25c8dc21c20f083b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39b1a7ddc533f4a60e92114e2fcad18d9036af9808b2959773eb58815b5a4e4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39be78f4ea383a6a49c35ae41c9416455576606580ba2d11a3d5280fe814611a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39c97e56821031d89406a53c8184b41a750bef7e1990a32e33a1a39db8f91bcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39d56498efe4d397db782d96cc873dea0cf6781499bf0a20ec192ae63dfd0faa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39d5d641d71ba1063b04c9d0b765ad67cfacefa6a6d66ca48d7431a94b35ef81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39d61e43cb4c9232e95e285349ee0e20a26708af4cf0a06c4e86c7fe0c85f1cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39dc488dcd39f44488016520edc64f03c0e1ea0b645be07318dfa618fd505b9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39ea4c2a91a30cff071b3f2444d6e237cb4cd8a7a1c68d66c8bc917cd133f34d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39ee40509b1bf5ee160c5bc171facfc781a94d9aab7f7733af50abb7a1e0072b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/39ff941aca7cc618faced5401e67ca962820a3283bbdbcbcdade3450d3df0f9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a0178e60c12263d1ce17018149856eaf2c7a3cbbb595ac1684dc6b4312124a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a043689885cb09bd2b110dec3b2a016f3ffccd9f55b01d800904e6d4b7b4513.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a0c64b073e7dda66564a1b55ebb15d11449a3cc4209a15c7de29b0dc3401853.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a0d70dab8404fe443502f819daca612296a7525fb72c41157b23d0e9932071f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a241f4d1bbfa56f6d8555e4511a1a7e7814127f086396464c956e0472d3b416.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a264cf3ce8221b16c3eb5fa00ceade35db9acf7f2474e064b606442e22c0add.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a2d5fab2a7ed8efd2f9c81fd4a51f9cb7d5a392eed019643166f020f9f977d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a30ddddd8e451256affda68dec3b6be7d2e732b0de662fcb269b333f34813de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a3266ddebfdec946761e12ab39614d363c7f8716e1f93055be25aa13ff6284c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a398d0ffadc604231abfa59826f787e3e7e98300e52c9e67314f3e6dd616d47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a46368c8497d040169f8ce25d318073da163404b10cd960c565528f5fb34ba2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a4d9d4d03ff965296ebcf11bb3fa87eb1b85a2121de28b20700361b3ce4652e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a5734e5d0cf56b5ab68a4a3586392e0e2269c562d02721832c3d77dd557161c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a60db9fcc8b5ea5a326eda82f4b1ee5a04bd6605b99eff173e71a6f121578f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a62379a52205d6bbb223523113cee7750a094a983d68ecf61b8b074f99f1479.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a6473c8c9b9a40158b84601c46064219eb0abd6420b3d0760ae0f60aaf4531c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a678fd12af9f132924e00aee68e9a4e408e22d71974950e2b5ff206a53f7c29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a698aabeec44052e963c3e79fae3bb54f88e6a237f0b69ea4381f76f19f288d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a6dd08a5012338f029fc505fbc2651ddae317e8b9a6f533fb692d799206dcb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a6f7e87de527e0ac380e62e0c3b77c72581b5c3553f8ea6cb7e6b05985be4d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a71494deaf3579fe4743a55d4045c5408c4f606bac1cfd0b5ef32411dd4d118.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a716af821c15dbb2fc8765bf2d51adda9b3062a2fee961705dae5f5ce7f73ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a72c56551ad3583421ff33aa587c525acf43fb7a1f42faffcb0102f98fa7291.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a75200d29918c43d9afd6a23f0e7deb90a512cba63dd798282f7c1562c4a568.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a77fe25eca1576167e8bb8cb4a0f8cdf298b1b937c465fd9228898a65759595.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a793421784313adb6387fd37c20cce8ba74bb5726f1514c29e829176c41b018.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a85fc6673bdf85dd0590c7fe6a41a73426712be2da3944ad6cf21c2ce66f995.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a919881e236b6e5e74492166a02843fe1be24e3273ee6035a78c81d1caaa20e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3a9a8515f9093ab2627a5469bf1305f63330c652894d49194c3708a717ff8ba9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3aa7b9b91015cecc25ae89810de5d4794a71a152d00d3ad399a352da5b8131ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3aaab970b0bada32f6277eeff8289659d3caa3bc0355f14b1a2da9250d0c274d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3aadb9e26755d0d524893a77a1b1a5f0bc6e41e026e930dd8aab809634c6fc07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ab0feeec31eebb96fa90842c2492d42910e96fe7c71c98ea6ab85f68ecdeac7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ab340fde36ffed425c7007dceb892f52b308c210647171ba991351678c9d9c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ab6433e5e31d721147e8cde32f9039b3583d2d708ec90c833a9234cde49cd4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3abb6a45ce01a2729b48ef44e1e901366dcba49ca2dcd86f45b18c12eef96ebb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3abf9a9add1f0bb893b8b9b5f2dd51962d67fdb4e290b053504e4ab7247fc5e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ace7673003182ef4a7bb2b353ef31b0447d16756900283430303c55029a02fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ad008ff8139a9a77550d9e0edd10b9157db0954e08783a492605aded32c7660.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ad6876c99055a76660aa1131f6e2c894a500a977f6930e2a24299352bf65cad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ad699706a087b3b4c9584104f49f2c8c4909a4601886663914bf70dd40a9fc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3adaed461c6e07360d19aa2328cb74a56d4f953dd487f07371f9c7856c788663.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ae3c15e3054dde80b14918145ca88de8e743765a8a534385e410c2da4cd90be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ae3e25620e22c67c34724bea6c3a42c9e5982578479022633a191370a45971f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ae9afa4227ebc5e2a07b991afb18c5ac9fbea42b7551a5741746831ca4c1dd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3af39924ef08a5449ac9c130b150ff445894e89fb75c92b46052bebaf7a2ae4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3af419d7e7743c227b2f9fdd04288276af54f6efd7ca4eb76f59679e14e2792b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3af642c7f604ef363428ce8de10e5b3dffc69906681911be9aeb9e49d9a90e0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3af90eb3447a9170bf21de680becd1803666ae999ab8940bb4d766d2166b77ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3afa90dff2c5ccaf8143e3c71666c4ec82f85e28e1ed78dba011ae59bcf951ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b06557e7de0a705e7cf815bcd62461b1b397e48964fe6de8cf849da3ce89564.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b0e17276d9f69d751b1f146bd37ad1f173ba763608510f246fcbcda7786918a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b0fb5cc0862a94685b5b8d4c0e710321f50c8c811eb2380db4393d6be7da77a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b164a469343ed0e2daea8df8226ed17e04e2cb53897d0284cf360617e6ee741.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b1a1e0cb6081df21fb3f88d9c7d82ec7cd935b9d68f0cd6d388971c9f8a98a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b1a760e0c540db2440d66777c2590e7d0a96e5e57b0382c812895193c0225b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b28035ea2bed0d60bde1bfb3e18fe631ff21dd7ab025153812fc2a735646d38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b2d9bca53299e77bce4d21863cc9601dd26632259b828a2c3ba20055c7a1bf5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b3063952a2b1003abed7b4373c4f8c95e4d02f624227f772d8af47b59fba03b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b338b10bf050dd98c5f2cb5c73684f5d3cb0b4610d92fd37f6ea5145ced0ed4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b3eeb0f6aa6518928ae2d5dcb4aba47d181c66f88380a81b2c556ba44592295.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b40a9d330af50c876818b441185f09dffba246db92197efd6c4c389b1952c86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b4658898a2c3cb5375c54ed2a130df6dfed3ff87c1c0882590b8cfc9cb763b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b48a16cdc964a98a0e17a2d2917983c1db84695a5b0d6e017b5da37aa12177e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b4bea172fe9b742e0568ee7b01f64e80ea5b331cc9e86c3b39fe1d96ef9d570.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b4c10d12d918f89ad722485ca4973beb632abb4406bd6722603dc7dd2ef54c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b514c4c3ea8882b46b384b266389d6737297cb406df0db09c4d8f87cbfeca96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b520bf3c01093938d8d5d45795a85329bbd35e12e7deada26e89e9eeb9465cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b586aa548f781b73670328f72506f80315528d95d860b17e42e60be92d1376f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b63d5d02c7783ca632d0030e25aa3612774cfd17bbeab060c18a989a52f3b6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b64139dd75784ac156c4ec1570a67ee06f6601d54d0557c3c25d4bf2c6e7911.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b657a5e2dd8d7e81ddac65c31d95e79821d4b8365f9fea00f1fc1e2da159e23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b6777ba39da2d9cd8b035a9d6ebe7565206bb110b4a5aa3d475f5f96c376b83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b6e49a041a352a8d7ae0a2e80fdf7129d8d252c849c39be1b5194e8fe1b722b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b75702075cdcfc00f0467dd101831b6078862a297f4459c2324651357665f1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b763e285d9056f48632acf46998025083f865cce279420324ceef8b9e89c8f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b81783d936c53cb22735326ce8d4b11922fa8309b2baba1797b17c1bc41ff49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b8bd7246de6e5cc1bf965ebefe7dbe7f5bf1299f7a6cf7521a0695c902cac4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b8d533287f0110eec03d677db15f3268de2c3c96302288834a4c60f2503dbfc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b91cde7d2e2bbce2d6c40b8b99ed16b904a531ceb2394c25b8cbc653d6f2a2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b9b94a588abfb57c9cb1367748f9cacd738f86924cf7d3af37eb312dcdd4112.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3b9db76226076f25e97f8c009d6f355ae0be99d78187f8615b21761558b08784.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ba5127056652908ca1505b74f3b6461d7744d54336097acd0fdd0a2f02e513c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ba77c587cd2c45215856df50d106efccb52b6d7978902c0af873aba3ae61e34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ba7fea5b554d7fe65bf53f0d41f46684f4df07946bfe3c8c71e4e3ea807a229.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ba86d2a9c7e101ef421c750e30fcf196f8ea84ebc88e108d29e8c2abc160baa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ba9992cc1277af803c185cbe9ac836c552f344b5b17ba31744652ff178da432.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bbce2bb390ab5cdecc87514e943d6dc8ed37d33831ec6d5b65650a6bc431bea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bc8d526b303ea6b54f2170baa2f549a51d0c04aa16925975fe90cc87caf73d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bc9b87959d2dd2940b97821ceaf2ba68f864d7045fedcf616f369a43cecd426.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bced8aab74262470771a4b857a656c42ac3a46893b75105290837ed811a7e4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bd9223f110f66ef7c749dd855ec6258fce871b1c612e65013c1bcf4e5cc40f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bdf3219217da5f4f4a79c349eaeadae7250664dd988157d3935c4421ae39ee0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3be91065a6c3b66e5d06fba979350340740b8fa37dcbd998dac021b3b8c7e24f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bed5f837102a14c57b14d5bf55f42ddfc171b042deaed1b5ce038a848dfe957.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3beeb8ec836c063d4e8d59a5c8ed08cac4d96453a32a5e772942a6ff68e0572f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bf2b5131a2f66aa8fec72762e98a3c3c5b9894d15c573f753aaa9aad1941e88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bf4e670db548688003e44bca7305d75f43dfeb17b65a4b1f788f5e13f4aceb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bf7b580d7a993c7e83c25f2932f2f98777765196d2b369f33789946313985e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3bff2cfe3b718f003da38ae433dc0472e432c66959e4b6a62b5d560d81d92026.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c111a39bfdcb6278fac286c6b2800c88009b1c1f1f59e855cd205a60fb88889.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c1524ce026dc1721479f21564ca2a6b2aa87352dca2c4edcdd5ed6d49e58f05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c18c4040de8661a5756db09d38a5e4722ddc038b7f39360d3a973e60e76b970.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c25ff3b0fa1b4ab5408384ee00ab32b57efc1692632ac5c624db387fecd25c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c3199104d6f68974c00c9e5111e766a1c5e415948d504d72133c22d59f1b778.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c3299c3a573b2d2f24a26873ed2bbc164f5548c09828b1e2003690c8169e69f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c35df5f83362a33c567af608ba154d809c53bd4092c48151afc1b5eec4f78e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c3ee9b8e036fa96227fbf6faca7be04108c7f08315747d38437e27cabf6f49b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c3f1e9f767e523d0a6ded71aa37de8d5f13bab980c86a5bbd90d428c46d9190.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c46744df22c625855a50e1a30ff39fdb2d26f99d302992798149990bc391e12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c490e243893783314a893d564cbbb34076a77f011ea221c52de2d2874638f8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c5002bf49ccd5a768417ce0ded5bbe4ace715f8f2b351ca034b51d7bf9bd5f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c50b990855f139fd48551494f44413bc740386e1873d430223229732388431f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c56f891dd66b5484639d22d1963e83b458aa572996d574320c1fee6e4981b40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c5b28f0dd0cf5d6ae5f1cead324d3dbd57b972b315618c025567256349274ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c5c9c0fc0c0b9113309bae22c9b7b539c2d2a845a2204e4d03d621e14adeac8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c6f67edd7511c615d555b8d6a6f49c00182c1af84df13fa8ef02e036f18e639.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c7573d501cd61e53bb72f5ebe9dfdf1a3c83be0942d54a784e8ce7e8941c564.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c7f1ac0d22c13c56fa6343f618419356c974460e91a4a1a1f90bf34b856fe38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c8cccc34a851a8aa782ce79b4765dcd336acfc9f4ebb97fabfc2609012670a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c9c1540e400668f37c90981ce6ae322aeccb840b54f49ea603f922f83d41148.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c9d0b4dbb0ef74a1cf21829b338a0eb2809440b1856ff899d96e016011156a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3c9d421465240137d9564e7f4784c578b00e5e8ece55e688db684f96072e32f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ca5f217a79271d8078202a3027d75520c33fd69b2c377a17d464bf5a7696e0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cb7c7b958cac8f8c13e92e20cebaa20c813dfe320a5acb62967f8d84f8451d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cbcabfafe6e9b403020f80d038bf94a865a6cd52dee39cd3413c2b055a617b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cd47cda234722395ac00cde0466235478cb97e09eddb388492e425fed8c893c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cd86fad80f118ca83e82c4f1dd52aa04279e05377680167e162d2a30d6a4ac5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cdb5b848f28aa4ab9559bd154801b93641e3b45bf5693c23af67b67fc5e2011.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cdcbcbcfdab05fcc548badecd8f153fee6bb2428ccd3b11b4eb1c9f3d52fc9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cdcc9b6ebdc771449f3afa23d4f7d33115849dd10dff64d5b8a1d05453b7ebd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ce0c17e6b8ad80aa8ed90835dfb26175216dc467be226a49af33918fafa173a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ce274f770d9a26b698a0d1f7796b003df958a56305427d10e8df1d1f0e3f6c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ce5db8d2fa2bda23c3068a16eba23cb6e5fa1985747354533fe4d8c7936d7a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ce6d5a599432f4412d8a453df1c8bcf6d76de8e2a64be0c2fe4e394721de12a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ce7332674c946c13d07ef37ad2809b8ce0566bbe20bcfe43b321ae59c7a1b81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ce8bea1547b2977ed25501fb0936c5a268c8832fd0d1601185074e563f5d3a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ce955eba8c67231998c0fd5b97da13ff844c5ee6b678932243d98c9d389c540.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cf097ccf747b57b6a306513b870a80c753f3f4f9b1439dcc3f0a9cd1eb64e5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cf34b787d949a13203c55711baca65960dfe62d1825aa59ea8fb3aca4b061f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cf4c8bc4bda9ebf5e5f33e077bc6fccf6915f30587bb8e5d6f294fbc64c9fc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cf543e6e8578db90ce693315a04e5a616c00f867c520763d4105acec2c05170.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cf74b1f01feafd9be7159498c326cf0c21288d91e52dfeb9bd05ab49278fd02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3cf7aea5f5f5d172ab8afc9fdedf5a8cf48c32007bed0a3b8a691c24598522ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d02bd32c071eac9b00a9cef596c8ec753e8d121cbe4f493a6b465f57b63f3ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d052450ecec63a755795c6ed67fdcff898914bf3d08ab5130a59ecdbd50b4e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d17da431e4e3be56d1a2e3c0fd5a35fe1ae71ba5e5f1f80a540c358bccdcb96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d224c616107b6c5eaf50350d06c6c3d18d89a657d601c367d5b1ee32a4f30c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d25c2e70b7dff8d39bb7e19ff4e1de69d44a7374dd1c3699fb3d7cd364407a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d2d051144a804cd0549607610ccf2d26c31de6de14f0ef567cf21bbeaa43d29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d45f0ec5c7156dc08ddcd6048e500d2eef4918255a700789a9dd08a7e70785d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d55d803ab6e026d200b2c731bd049c6a2caa7f63038cb07376b924ef452a7c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d61d9415adbb5fa7adcfbfb8a28bf42812d77465f581a628dd333a1464248f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d63c28501f006889dd20c43c61a5698b22ce2db9b30dc9d1ef7641ee45d51a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d6a8c830704c8edfc84a0816e8bf53cf5ce7328a7ebde48d17c08d2c618a99f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d7646a7c4f02d6f8cd6c805308c14e99d7333e3924518137aea9c380128bc5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d8098cdea2817ee8d4dc62eebcb742ef229ee92e6745d3b6ddb13eac197891b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d8dfd82455f2c49f6276d53665c4c701c037244fd13811bebcb744e2afd55af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d96a9338decee3ae18a9da89d0784bfc97b41d28f50b735fc731f341a929293.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3d9e13b63e0ebeb7da5cbd0960a816d8ce1cfe47046527925f477391c2c67568.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3da3203acb1c67e524fce416ed05415a7e576eaafa3667c2ae6cda08f4a58410.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3dabf0f98ab82ebd8b224b89cf78c074a0f84ed9ca08fe74fe81817d97a9aaac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3db34b8fccbd8f70c9ba1911ca3b57d4b072ccfaa3f89b2f0e2ad486448ba295.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3dc04a856bb7dbf85aa7ed6438fcdecc5a19e199372165e1f1f8622fc0308762.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3dc95d6e545f4c515ffad4f38951877e7f65b2bbbd7bf320f0af335af442a140.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3dcb241836172b8d4d1752cf60c3c0c4c6bcf09ab4e64a78201549c902b61fc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3dcd4de31acca925ec7e78d10d4f7288907fe408cd9e24fc9ad95b5fec73b593.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3dd598cb0f6fa84c96c33ff9331416fad33e48a3998b04ee0523fa42e50e555c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3dd770c7cc18ec64aa8de37d939f0d36e4bc9e4616bd44aeb721a94da2f6ac0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3de4be9ac9f7269a9429224df671d72214805bc9abea1d4792ee3802bceca703.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3de647d978ae106781de8b28759473ea5f7b7c77acc2ed0d0eb8731834687fc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3dea8202a33226fd3bf7f1ec3f61ec27c94b30672a89499165d9916f22f5b5ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e0318927d26128fe49a08a2382f3ad50e50febe8186804b1a665c525946718d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e0712bac0731ef548f1cbc5184b0106aa3e9a522a47693731fbb9f263bc34c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e088158659332bbd8e325e3554cb0d877543353ce927928b9264a7896c6eccd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e09ab7c262cf43d9ce28fc8224a9c183cca93386b2829917d3365fb0225d908.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e0b79f17be501bfbb6d8ada12c81340250e7b3baa506e3a62abaf6940c09d35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e183323f8d2f4d8dab0abb805c55dc4df8f441830f9436fed24374481d1a5d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e2ae73dee36d9366a97c71da971748ef23c0b22109c1bf0f6406166ce66914a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e2d0166d794291819990c2283be8e9886c7ff4f6a401458d30b5b20db21849c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e2efdc3a9ae5df9f213aff854cf8852267fb18f238cb35c4189c9de7cd5e99b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e381870fb84c369e14f8b9d7a44dbb34a8f02aa99e9b53dde2cfccba8d8eac4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e38cd63aa2438df70927fcda01a78fe9d09fdc7468ee43bf46cccdc7a0b1c4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e4d96ca7686c36be737b4a6790bbddcfbcb832a96817c5ac5df0f16ba2e8e4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e50bc5c9d9b76376e60815d19204fb3cc84f84393d3b5c0ec1821ee39d3c1b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e558d75324c2fcc6633f9d38862e1b2da0da013c0be87cca67a850a7ad14f40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e62522090358701cc48baf01c9ad18d98e2af0a2ddd5793d5b7409d9fa20824.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e6d36d0140ec517e8f395a27b9c4f1516f6188f1f883c762e7ac330c4dfe1f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e77816e71aaf442f44376e15abb84757623d871285cc55be3f0e6fde0fce0cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e7f18e3ef29d9742005048684c35504b5341981dc76fa62b0c9ecae6b6095b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e880cf922e829db1cfaab88f6a53a73bf66b6594266705a2b3d052edec39ceb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e967851da2ed0a6e7b72fb29300b8186b4add11b045fd56edbc07b082f5f358.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e995cce08d106631e04a4fc86333dd1b927520cea3534087eff162dda0a76dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3e9a0f120caf13c03d7ceedb42ec4d63b44bbe7a7e5e4dbc537d84ba141cba55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ea14ec31471206861ba61e4d142af989095b8bbc74bb9ac9cc138600c598f72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3eb0c56ef822d5176672cd0bee31c476a4bc24bb3e9ca94143d7135267f2e4c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3eb538ab41369c1cc5b41a7d0b0f5ea610ec724d72f2b9f9ea379bcb491dd4f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3eb5c66134373723d83fd7adc5c6acad3727881af19866c9bb7235eb0a1498fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ebcc200cc9fcb3efe7d68d5ed9fd00e3914d8db4052baca4fd78ff7e4d5bd88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ed18545946f5d071e10bff24a3396e3ee3b92d57b70732e08b0f48876f2ce06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ee6f7762002613dfef5cb2dc509fe71a520128953e4cd780dd2adb214874913.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3eea29071397246dc130e9aab1d484b383d770eac92eee3e1735cc15915526bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3eec7af22a396a3dba27ac1172299b643262ab966666ac59cceb29948767b20f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ef375e3a374632d456cb393a1e818021bac146541da342a1508b404ff4f9a4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f04c32da56a32e134e43a11361206eb1c974c7b63442af32d3c81136c431864.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f1e24d8899cae2d27d39061636940ea937924722b544ad51d1baf5eeb337bb3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f37e82473192cb96c57f224d7f9e5e22552242785b9abcc6f2f566eab0f7464.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f46cb74dec8ff56f1e8c8dc18a978a85ab6292a8e0221aa8c1ce6119be5c53b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f5cedd37a786dd87548b3fba90f2af7ee003f02b21e43240af577873c290fa3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f6401a75e930d332f7c8adac7e32a49c444c3d7bb807af8c318814b52c79859.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f647246f47c5c1552b6067d19ff4fa58aec298a4c4f8a6620cb1f9b24ac8c17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f68b2abaeaf46caf0d251fd94d251658b6da6cd477fee200bd2787e07804290.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f78ef70146706f2ce88b26a9cd75663e5ed8653fbb2a424fab3b34de1e551e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f7a5937689a2888568611b0db4036b2ffd9bee9fbd8242495684513f99cdba6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f7d38a394b17584887d18b0404c847d4204d8e55199c1c829abc70b0a400573.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f800140b11a77b8e02db65ef1849a880bdbff6b64028ebae3cf2db3382b7889.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f8285d48c9123cb683ef52f2fd1bf0ace19d934642428626d3e10a8ecfd6a57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f8bd9f557d59d650f61e907ec3a65a193f79f61243a3ef7e3e57b821889eec9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f9a96834f7e1749c07cf7d1362844da46a69b3ec4fa46026d89b6fa9308f97b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3f9e878278dafc1dc7ba739b37b3a152e1e126d5a2b185c21b5b4b8cda8f1f58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fa44f706301e3094bf3b5287f4f79493620bc0d60bcde7c350b5f0de9d85259.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fa5544e4454791d16e205c6ce874bbcd794345fc5e47ca3c64f3eaa3c2dd04c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fb5311064370eef3eb2819df21f49fa390795e34e1c5e7e07be8f7741448225.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fc10fc2c3304346c78b1ef17b3b3b91fba8e530aba8fa815cd176312b987958.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fc660f6019a1de61fe38a9ea579876d83c1602c28aa5eb37d5006070637a10b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fc716e7631d4c4911c53f0706262080db6fecf68987a31914a73772b61c8687.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fc81c3a35d4e0d128618c9466415583b1a5bba2f1503e99b1a038f7a08b2382.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fcc0301b011a6a0aa66116440256496a791752011e4109757ed154e49876b65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fd06616579c1698591769cdcaec3be1fa61df06f5a5b1d8377de5df28c2b351.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fd37ddcf5e4fbecc98989ca31df1cf0bea8528372ca44ed0664116c2a431277.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fd4741bda494d631b74779fc5b55f074621740200375bfdfa132443452e0d9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fd4b696bb429ecd63e5afc18f57005dfd12e94a6f9ee1889b579ff5fc5b4979.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fe0529328ffd13c059ef6b2214c29684aee8d4d46633ccc481026964c371cb4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fe48d96064892ba0f90cfa7f374c1f57f5f28b4c609cd34151de2d745854d0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fe4e9ab3d672fb814d09c427d7772eadf63d6f6a2157f5c1e8d72337fc5e13d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fe76bbba7e6de90e7fcf5ebdb87eb490cf169b952a3441cc7bb4aee0b5d27d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fe7969f053bfccb005443210ebb2b152e517b7b7bd35f76f590baa24b216844.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3fe7bedf805c3adc99d3d1657c9a33a881b60202c54728f07cd8f16e9b9399e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ff03d0eb0f2a94e12ffcd62c21d30fcdf07699ba1286e34bfa07ce2fc197053.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/3ff6f0e386aaae1bf525d7e19976932646a3dfc1cf075c518394378009012a58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4008874b3c0dd65cdba12b761f282345c7b50693eaa242a2f50414c0499e877e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/400e84421006cc515c4000405a43c40fdd7a6ec4c397c0b2aab18544917a4d4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40118561c7daff1aa88b91591a0cf44944df0703cdda458efafbb31b3c1d3ef6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/401490b8b16de3ba81a9a8d73e0ac229699d1d9f6e997e5f0373a30b58f5de4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4028e02eedbbdc9ab2e660732b5024723d942fe56ff13d0bea445656236685a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/402d1eaa532532a7dd9f6d3c17462d6921bec10ffb4c7404098b384da982617b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/402e66317edf06182906663881156713c22714b2e5feb0b76af36f5056d47067.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/402fccc26459b2e2ed6bebb43e827f2ddff72f963f006486190e1524d27754e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40310b6f08ff726ae2f189c1eab296d216e363a6352c57ed0357941eeba44046.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40359bd92a42e6edc5de972290a71915dfb96146d2d38a93640a92879e7c3478.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4045a15fcea9f7a455c5307260ac1c66b1bbd8591bce2dcd10eb58945e4fbadf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/404752c665b75fa07249a17161f9d72c5fe91624863991b25a0afb5381829190.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4047c652f8848fe997dc38c985c62f894fa19be38136daa84810e88fd6e45b51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4050239621b78c329a3560b5990c26c4f2f5c804bca4679dbdc32f7b79bf274c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4056b00781ef8160675a9ff4e5d264ad33753f5de64a9311feb8421b74ce32eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4056e3d2dda72fa0394614bf9fb1ed7d34c534af52340dd841e5aefb1a818ba2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/405c9f14c47e18b912ed072ef9d776ae31f24bbc4ebf5c3767a4ee6d1ec15bf9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/406430ed202e1c27edefda47c5fd8151940a13a77ff33c1805c1939245407388.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4064e21508d5193e01ffbfb711edb0c2d3e7e15403ef5b05f7339610e45e8b3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/406a701abf0934921a2898229da2a12e8f5079cc492baf661471ac56b1e2a433.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40713c760ec7af23d60a2252140313dbbc5745c4460712a33d67f61c9361af2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40713e08d3a6b93213144dffebb914749abd754ccc7d4effb4024a4c0a4ae562.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/407f7000b454ac0e8dbcdc15cdd7a93bdcd826fa44d51d2764a1c15b846f8915.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40881861a4212527dfe3fa5fda46bdb4e2c7a5cbfe479ae38cd6b76a3002a099.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4095dd6bd2626ebea8c6b0de106a914e60a7499a31603aacbf9c5a71c7564e00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4096677874c33c08677bf7334e6b2135e3aff0da157f283532408da5aa5add97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40ae6f3748fc087f1f8802f0f74e1038baa13d33223af6413f53b5553b0c3a36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40b062b4109ffff08c0684415cfb00e697f39ca434530db717f2f39037b7a81a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40b39d4c895bc56d7a18490fe40b17390a2dac2ff822b95928c9604de3bbd8e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40b3bab19605cd7b6b73fb2d4a98de8746271fa40779363fcd251773698c64f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40b46efd1de7eb52366e6ec8c0170d969c38bfd43cbb0a32cd7b26287039f0a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40b8d30575d2430908262be731161eb44dfb67500784eb9cd57c00fec89e6ee5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40bfc2b5d258006467518b0be709c7ee03ac84799b82f40868477c2d21247160.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40de87d69b44a71e3e3a1463aae8b9bafb547712eef03c711e384e8f6a54db1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40dfdefd1e434eb914985303e40ba712702f4214c4c43ff20b86a568835d4e28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40e28c1f6f22c10f75f62498a8452e0e771be811f149d182fb1ff07c2754a488.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40e43b9c307a0d49d3127d74023c8c7ec971961b86fec4f7e88efcdc3f2ba0f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40e832d305e0843f14e6aec749aad9fee592e9675c88158c5fcac6f89933f7a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40eeedc39e9ce8c55b161469cff910676be2bc610145c60ead0a5b77e35af09a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/40f189c52d5d57b253e67c04451fe7fe3666765f66c35973f0232dcc5ac6a51d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4100b9278ca4cce9c2a493ef4ca1b845a174f93bd94546f34d4e0bb752d13e26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4102a9f902abaaa323be62c76cac3b692dbc21adf0938bcda3aef289943347b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4112a3405772dd865dd862602384358e0494b20a6028593b13b7c7ccf562cecb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/411ae630419bd90cf0cc88ea7b26181d9c03aa2307f2b2f324d6cdaf88e22de2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/411bbe040ce738d7d20931983b4ccdddbad85fcb4ec0220eb0e185c9189da9d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41207b36da9ab956d30c20cd676c422331f25be780e3840904fff3573cc778cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41243996d7911be08f8ec61120c26aca5dacaba8298fea4c004fa5ec6ea94221.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/413399d417fe315b5b30bec89471c540f89ffa0b783ffa2bad3363a5a10ec899.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/413479d66185b114936f04d702821e7f2e0b053983ec4c13cc2368b13a3c9647.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/413efc817021286f85b708f934d22c7e34bb1c14d01002d6c62dc86b9271294b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4140f1b2c3a4319b82fd0c30ed91e93186ed7269f3467d81b6ecca6f50430c60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4148417faafc8c37200b46e727a78a8f9ee9b955ec2b328e101f12b120177a4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/415b5c4580c7191a66ebd5075c500a727db54170192c3e4b754346391aa014b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4162fa501626f2a548343779eddf1faea0a4594117fcc577aaecdc0a8682e13b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41698df2dd585a32eb58901d4bddb9c775a9fd88e6c68f2784313683444f635d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41783e098e7cae62e8ef559303d67ac6800f0c39f1b814c938b0cdd0a56a764d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/418cb28de777c04ceadc34b2346caa2f554bd91bd437af81b70eba4fc34e9049.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/418ecfee2721ccc587cb7613f7818610e8eb2f92aa36c7ae631379410ccf0b95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41938a27d3d9675fa050f6141529e84df9dd4ecc7064c67b91cbb0d862b4d100.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/419425d0493ea01b7068cf3be06ec4bc42adeb857ed65edc3a0d51df5e5c8b8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41955cb66f2e35662bda239f4e1878d0c3eaca9f754919654d871eaeda672019.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41a5c276585f5865c767915af1bafd2b213c43c0233151a2a40c8bb660d232d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41ac42fd25ca9ba5671e70e4c98b1812e5fd1c38ee26ed7ecfd4426c796eb35c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41ac648c914b44d062920efd3ed30ee8d6fa5e2ae4cca797a4965112471f6b1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41be6684836d23de4aa2bcd9bcb1a6a0fb55a69563aa4f8b667f02e8f85285de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41bf5cf83a2dd812d3c44667d1509a85432cdf94896f70710deaeecfe75dd7df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41c24752a34059551d58e5d284d5c980f6c17a441cec7394be0586b4b59aca38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41c2ae57844c6a431454e03658269f6b5757d31bd8e355732b35333568707c8f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41cdac737897ac75966a68bd105bd3f7c58d9a49eff1f3a3e423b993425d8f0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41d93552d87e011e4cbad04cd01d686dbf7adb4d94770ca7f2aab37e264b0281.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41e2cb6962b4de8e58379123bbd710433f109e60e583cc5a5a92c30f98228d82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41e3b4651fd33fec92f7cf173344d73d1318a72478a8ea92b1ba6bcabc1e318f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41e4c5233568daa7a4f474a2d25f21380da9624a989dd299fe3a9c0f3c199549.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41e87d437d088a134bb6b0dd8ef276ae0ac2868d852011fdb326de10583d1615.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41eee80c0037cf13d83104e9c2916a8b45bdc0c8623700b0d34b30dec7ebcfb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41efbf1887118221954982f72b5e596407391943aaa77a0f2f007b285b0143ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41f145121614223b89917b1a22e0aadb165d7be0db45cf7a9232c260cc4baa08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41f2c03f0715a08c5d99267c143925a8c592b5ae6b2804980f9d97ded2f6bfae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41f7b4c4880b7bbd372d0a21356f9d85b2f0491bbc7096b52dce73cd3655876a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41fcea2690944c8652bbea9ceaa7867947a978b6b79c6f489f2723050cc72085.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/41ff293907b8f47886ece44e96519311c1f1a022108931045c3ef90477808a3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/420c8c097a01578983c22f83d5932ff3d498f6231056bc126bb52c62448beeea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/420d3d1c541cd9d7f06cad8d4fb2c7dc4c5d0c70fcfc2d68759d3d0f84948763.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/421535f388bca987dc149d53ab05793c36a25e32291b95f253de0e0222484b5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4218b04139ee13915fb9efdfc8583709c966550acfd93b9823bd055a4ccd5e95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/421d5f54ef2a285ccdb19ad3e53722b377b76540ae457d6aa97e8ea358c9cdf4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/421da02e1a0795bfbd965859c40f6bacfa54a791115b87b9665a19e170b5fe4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/421ea79a8813bc1c70af6966a524b22910f734ee8261995c41435a86dabcaed9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/422f1c960acfae2b7bf0607d5d96b10e7196edfb593a5a3b62b5f58ac5a66b85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4237146133c2cd6c7e9e2d04f8386c60c1da85bf0270552e0838309a6c6c6263.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/423becc0273e00820cab35eb4879dc2ec9018e556442f70bba0f5bfcb16dc669.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/423e7e1555d9349846aaa7c89c44a857b5e885018b5a4951ea8d727a33de907d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4240b156a70c8d3b5158ac46ee60448e3e4ae5e19f71f39e138fbe4ce0b70b92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/424157e7595637c753fd6b9ab65f571460531c5ffabc7262d0ed4eb37e422cc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4248a4f5628e734fee9079cbab898fb76067c7320f6ac9832783a2f8450aa114.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4249851933f5a1aacc4982a3501665392c0b11e78fa542b2363e43b34d2c8945.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/424d16ba68b647ed4eef8bd30800bb320042071507372b8b96e471d1831e098e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42557ac5347965e0d94815810043c0adcf1a6dd47c7dead17989a756b991d929.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4261141f58ad05dc49e9df43c4c8c201edfbae3d806d65d7fa736d15302b26e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42640c5880dbca3c5d82cbc117491b71174d3caf4104d2085441d2cbc96049bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/426510ce8d35433df8c92fb2f37972669e9e80a1bff69e0c9f2ef037c911385a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/426dd08dc53e2459e78eb44e175b3f8023e781c75251a0d52ac19a04586a9741.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42715f3fc0d0829ff19d582bc67633b7a9857d7913b270ec7731a709951fcb6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42716862e0e05e40e5f2b58491a95e9acaa0eba36de17d5f4907a62309cbe64c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4276f85746957fc36628ad14b120acaac9ae2ca906a8c7c59af72df327efa193.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42787e54068d2909b471bb8dd11e287f76eca837f88fa7782a3fbf99175e4fc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/428019c9ca5039e2e1bbc4f3e2b3b60aaf6576235291b12a5a3d35f56b0c4712.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42846ce0beb5f349f68cb53b9ed01a8b54df71e43acd46e2d9b85c1e78c3fc86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4286cc6a92feb7d7b23857bc52931a5b824543f16c1e8c8527a3133eef88f282.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/428f78965b30c604db10ea54a0c4d7382260d8c6897e83d0649497bb511251f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/429242a6a656c3f754d09ac6d18586692c60c0505269377236272b569efc3d86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42966b8f8804968bbd85dfd130abc3ad29e10ae778a35d37667880532a3bd0df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42a0fff770fe468e947d14e3f0cbed493f5c00fb67a879b4766aa68163244f88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42a333f8bb333b8edd60a56366dba138f9a09113cab7d74ce040280b4185b70c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42ae64bd3ad1e1a0af0d3b760a2de2dc73477cdbdfee5709fa43ce4b6cdc5470.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42ae67bd5e25ba6a77110697eacdc18a0e48203d68f7f4a3d49f73cb5d195f98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42b0aa35d8098df10686eb5a170d5fc5ab7ad32aa465ef6f7f81aeb6e407f9e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42bbbf00e3acf25fc6c7636f4477828870e97a27a25ab47bf3e064b30c50b002.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42c08021c1bb676d1690425a2e780588ac42f83d790f73fc1d23ede3189d30cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42c20272e099b2898d825dcca92b373b5890215179e8b0bf115280b48b67fdb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42c220ad23355fb4eb99461725962c7baf4baff6a20e0e2fabe1cec2a93d10d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42cd142d8707dd9c96dde54bf28c1888eceefed62cef7b09a70a2db01c61add1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42d2131d1022f70c69daa37639ab7e831e92e324ea0ae3cd760cb3cd02537338.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42d6d42cf5ef288c676207b028325cd01f76b36687b40d6cc6d0947080dda51f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42d6f26fa9b2bb0e3f171bb3bdb18f86d3b55e966af12f9128244688386d598f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42e7a1b13ee593507010038cb119896dbd3173b4054837e57bfdf0523d418921.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42e900073b8030a68cd63bed0d7517044101c09c126f0bf5a373b72eb374ebdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42ea5641b6b0dd6dbd41044f3534538dbb324ac42c6c19000f04f57a9bc8b374.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42ebcb23d8c200c384547c234ac36e6626e5f3c321f1d89333b4cf5d7ee99943.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42fd3967a3205c267df97b31383a9126f478a760323c1a60e3099e15c6e3beb1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42fe1177c7e43c930f40a1f27eeb8e6f92a3ffa8d6492652c480f5d155cddda7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42ff063400485555bd49510232d41fdfa93808cffaef5c2b2423eae4808f390d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/42ff37a0bdb8d92bd196755a1010bb89238a3e25a19dfe93d0eb857556e7fa8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/430eacc3d8be377953dea249bbf2848d6d4d626796cfd829237d5f53658ad504.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4316eab78b37e5f7e05c5b4223e13cdd2ddf64d350e1b6c900ca0159d25db654.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4317c9b67a22660854150d106831145d6503e9d55d7fe54dd63b57d6620d7b75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/431aecfe690c77e4e49e6f0f78f9e53f0931a74356d18481532010a6e990743c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/431cc08526499454101f35f526a5cb4cbc8e5a56fbd97201aac25971136036d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/431f09e5d63e3f0f0cb93a6d55b8459625734eec48adb1be465f4e6d834b9d93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/432168613781ae2f68f00fdc468c0f7a5d95c66e2bd12e4d79643d2289804654.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4331548b7a6c29fd6036ca1ad1bbfa3b0584a8936817b6ab3560dcdc4543faca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/433b0330a564e5a14db2baa2e8bb869b1ef1d523af9ee6ae7f756ff3f77a88f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/434d6d29211d51dc485d7c3e56cd895a884359cceff4501e3d523e4f148b6471.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43532367bc32dcbcec4111d1f5366ba094ed6d5b178a7f1cbfb3778740813c23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/436e0c235e008d66ae3f72d532f2e509f9f4033d33b03bec202d9ada683a5af9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4371e3ed7d5fc0aa2273168fab682b4899516980e47f74251bab1833df58d663.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4377f1e1dd7c7824faa07dc13d11d3614688d4276a14f5ca51e12eda17a743fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/437b7f54ad8e4611cb47f45f3c7b4c6df43dca2f228946d03f352bad6e2d4501.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/437d86e4b6925c9c07d4a9d94b604f382faeb546c892b629167a0723fefb1d08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43800d0fd47f0760e387c09c7cb52b6b4e84f2ace942470f51ef5054a944eb5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4381406736f6327b3ae82115e9b04eae490dcf65bc160e6a956746ca1cd08b22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/438e71a08caa1178832cbc7c30b9d4ff73743c46f31c6db7fb980e4b7df493de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4391aeda8304699d43512bf71d349ba871bcef3725054eb04189a9a77ef69358.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43960cb165faa43ef65c94205f6feff08ba6baa3f2f3cfcc6b44dd101a2899d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/439c7c9f1ab4099199ce9268241797642b3dd8dd0eaa678061b1378a4d4caaa6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/439d23f84b210a6abe8c5d4188076d8ded4de069253dfe25ce3d216b274a54d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/439ddf47582ca326576bf940e39006d2afd86d958efbf756c88e5b641054284e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43a445394828148e74295acff6401d6433cc5ff2b429ac7839e4686aaea96f69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43a55f8735fd35213897d4b86b6c18cf36df5db174bbeaa9b22d304b251976f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43aaace9bcdc81259898be3461136c57a529dc9c2cfeaee127e5ca2b5a8786ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43b2996f9a7cf6bdceb13d8e65e11dc8e4ea6f4f014c6b84f8d38032e9794eae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43b7e4b4dd4c5b145d41f6fa57c01d558dae54fc33973c28f037aab8ae3ac1ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43c8d3c35358f00122e4cddba0bbdd96f9b7125d3180b86ff87413447b50802d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43caf948213afc78b7e67ef13b885371cb4fbeec08ceb516f8c6331c7e5888e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43cb2f64f574e2b13dc16ad4817de9cc860c8e44f1f37562504ea4a2041e9cd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43cdbcce492fd152f8d1504d9efacd4e8eeb55ac8af2ce66fe2671bc3e389867.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43ce312e891e08f54ee834787ebf987ca7db9d87c43f6fa8f4759d043dadec23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43e15ffef90f924793af96f731e69fc43a1a8fa9c928903802df3bee4c1c22ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43e3c388e3bcd2b1c41f19fa97abdf7ee5b3ac45a7b552ccca02058094abfc62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43e6a3ddbcd2e5dff7874ba21e6ee6f89e58e1211b01b9506bae8505357774b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43e6b41e4bb1e330e60926a647f62ec509d1c27bc0b366e40fe144fcdf7cc350.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43eddbaa89cc1860cf7c7e2edaac9b46268d95d8acc4efef3e99b31a12725db1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43f08d2aebf58ffb9f8a7541975eda94a5dcea85acb7c9ffe42b017807d4eea4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/43f192df0ab417f22ddba376d0d8bbb8406e3c3a9a50b3b0c8be86d976970f69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44122a6251a3f29f3cf20d98eb44384d64e6d0f8baf46bf1623a31042ce649fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4420a49cc4d308ff7f39fedd5f237477f371860dcccc10fc5047de343cb47e47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4420e1693b5ddd7e3e54ae28a0f162587e62f8f0e34fe0b680032a37b3a65583.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4421e2f63cdfce40b24b8ae00395cd5b3402adc141a03833a97c24bb6cdd32bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4427f744437b1c3aa0f6a07352c1f769ca24291f8f8122196c7251f98f4212d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4428827da4ab9215a473cbe2fe35e509b33add53a8a621eaf32c3d81c3d3ddc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/442abb3442b53ebdb0f9d5345c530b8a33c91932c7b97cbd991532110e4533c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44325e989df714a3a4c6074a49e22646b444141777b229119b02b1bfc3d133c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4437128c32d88f4c8f0c636f526dfd31a7e04b301dc2a66e6bcf6a5401f591dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4441737ad85dab8f739f74a383eff06cdcf1b9c7f3fb44b54e7140853684501a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4445b17ba902e176aab5bdb0a602f69363fbc7a9753c4ea46f14f4e64d621b8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4450a2eeac25b1cf4946c2715addd2d017f380e1e9fba74d8d691291e141ce16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/445ccc1786b64da870b1daa2799551a4cfc6b04dde9a61200cc55acb61fceb1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/445e239e7ce4569eebc256ebf779a21d63915dab59aac4bad33c34e5eca0757c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/445f10a473432f6ced1e39f1e5be428ed231e03ad6655acaaecd90bf31343e24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44603a07ec911884355778dff0f8a74bd6b43eb172e8b14b5b7360817a3ea47e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44606aa7e459c9b5ab3b8b8ae42d3368d9517ab4cec61ec812a22c8550dd1f68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4465797aabf1ca6f706677666ebdc37529f6f2b20a814600c77dcd11c96bfc4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/446a41bb975e45d07bf677e1c724617752f4bef6a980c15cb682bc92eedbba0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/447054c5ac8c47fbf12d3c18cb37824fc4e7490c59a7decaef7a37f6a6b970a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4473348545134e71418b8c6117bd27d0471ed84bff19cdc79252925102aef985.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44741669f6b495d34070487b0d4e4ffb89248463260a3a02e790abd807d6bf96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4475f08a9e9ff85c102e2be06b643cbb5162ee29287a2cdac8de82474328a4ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44760cce6ca3c8181493d3fa12b2800ae86c7b47f6521a7ded1dca438dbf5345.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/447af0aa6acd9424a32afdd52893c482f65386b53ae1c126e0ae9770a0d9a1c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/447c109c148810035ea4105db71a24d88f50b731c1243db999887fdd845de8a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/447c8393d22e9b333e29a07c1da4a0ce56c59dfca8e632233bf94f3676b7b534.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/448553aaaadcf39d9aeccb566ef40bbc92ed9bf412b400a74f245ea57f9bafa6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/449e667c52853af26b1efa9af1a63d83df0be7f729209475b27e1a68596ef659.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44a620dd836a407bb706774d04b5837b3da011614d57a66c952d5b420ac9f11c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44b2bcc778ba617858614e2b4cf7d012f2dd8cd5d740ee05174b24deae6f7316.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44b9827c13a3916f033f80189e967b9b0ede514f77996f3a4a19dafe11995f5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44baa3d460039a4feacdd3b2538c53d35a04ff325d742fb26eb86b50185c81b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44bb02115fb00ec99b762b2458374dc3d356fe5ae6aed38c76b83d82ba8d28b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44bb5d0c19455852aae3ec3b574255e447058cd4c905118d90712b8c2daafa9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44bcb1e96bc14de98b31f067e3eb24d04c87ccc64a4505dca2dc505de2e5fc48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44bda29a875aa9e34eac09b19f4383a26cb17a7780d0a185001fd5081375de4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44c9ff6ed32f724209c7fee9dfd7f421c5e3a410cabab2976dcb3bba60f142af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44d00f931e8a7107a9268d1248745baf283963085a0145490ff17ee6c577973b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44d09212dc5a76b92f68838b681281e7435f3ec81fa94e462ee9bad569673b4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44d126f7a43df37cc1cfa7d93497c2142a653bef6c7bc8d8dad561d19084fb10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44d626a620b579e6de09db07682f4655f31a4678bef0d5e880a26307d39955f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44e053d3aab8c1242f397b8cee5bc178550f51918f2ecad9c36ae0db84468b85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44e24f28c85a221d26943a8bac46ba9c6872e6094ccb96cab5ad6de2d336c1a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44e5a0d228be157a41c223d594d295bcde5bb7342390b495668f15a87fce9159.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44e9723a0e4aaa990d06af2f12a1224d2584ad7c6254c0c4622378585b4e99cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44f61e26095363f03c2bc8184983c3aad51fbc9d0a158de537ca7011e1363b37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/44fa3c62ad29787e2ff43542b8f9176938a6980e4741d0eaeb7d285302f4e65e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4500e71eb824f3426af9902618ce76cc95a5734cf7136bc05f2f7047a8e26fb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4502962baf3e72f3e9a7aba56bf7f7dacfc108c0cac13c6ece1cf65e59838b96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4505383866174bd4fb13dbcb315d6b850e148db6fac60ae54ed274f93fcedfc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4512c4de45566bd37653adc16694d930482e7701a3019c1573d6def32180a08c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/451753a7dfd9eefecd013f6fcfc2f3c621e4e8c14785588e87f172166f2fc310.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45274b4c8afaa728cdb0393ad26364893c1c9c17ad96d2fd1b3005449cccb4c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4528b0b3dc5a755266dd6ac1c65bda248f5f5b696dd8fa8c8496bac046e996e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45290d5129f1e88576a1db4ff667c321fbec2f025c446723e257190fb94b6c84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/452f9ff76d6fba312aa6711d8da1e35b242f39b1d83058947fbb94e26ecf79d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4543dc9860eb95f56f571170377e75dec5d89d5608c6a3106defb10181fd312f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/454811e6a3f24b9a9c4be2a6c88d624ce622bfa72c74175812cc2af5b263683f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/454901bca44bb97d32f6c5ec2785c29f05f5b7d413198ced243edfb7ff1f4380.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45498cc31679781acfd66a36179fbd167eb00acf40439053e10830e1ca720d12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/454a2568065949e76a4032af7bdb80dc7180e212d2345a2ff265f124bccfe974.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45551c4ae046200ee894bc0e7af852c41b533f12f23bebb158f9ff5f71adadb3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45568058f9b93d56195023742ab925ee8f9ffe68c28f8cbf79aefa82e6f1f3ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/455b1f0fda95a2df4c16ce0f0a92551ca1210cdd2d887a74b40e7eaf11ef7fc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/455e5dfe39f82d5e02127236534caea92f25c078c96e38c9200cf8ed30d52ffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4561348847e0b5aea8021068dc14a3ea79c1375a7fdc318295d7e1b37b23d91e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/456448bd9cc677ddab1a384d81fb29a2462a8acd902acc95b32c58d8c01b853f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/456e97dbb3593555911f9f9f14ec99e0ef32238f4808bcc44098bdde7dfa7da4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4579ed1dd5029f16e1057f7330733c31cab5ad8b2b34f4353bc943073d327c4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45837cfa4bbe1de5fc2f993ef7b98c2f54199161343ce0c6b06c8c9c3b5a0abf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4583d387b2fe04c99cdb0e1fca880331d690444fffd222f7480bd37c6f6216ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/458a1f9149fafe9b613fc5a30ab3aede908a6a52574020b04e53eba91e116b37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/458a8cca813cf6a5d39480d72b1d7cbe23db01b608dd07cc33e42863c18aeadd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/458d3686720d70583bb7881c57651a75b397c7ea8386d3af7021cfba466359f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/459588357df0463208a410ff7ec8e9bf58030152b42c1d2c6629f29518c6c552.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/459aacc2e8d6962c07d64d11b7630e3da4f121daaf8697cdaa9a8cde60643d63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45a0eaa9566e749d71262b63c1e9911ba418d027cc74d7fefa9e912222ca7af6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45a44a695c1455982b602991ffb4211bddd02b5d482048ae72b3c3e0fecf7888.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45b22e2edf99ada4dddb1ebe50ac840158e362651e72f4822f78f632acf78d99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45b74087e42dc3bbcb98d4431ee402f9425de8e167a098c83284169c06916d9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45c58501f76948645832bde3582ba1d07381561f522a7d2f538a251f7b24b320.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45cb7eb8bfab6795a83ae5f242ad9e4cc681c9e125cfb28a3b27a7be17833d67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45cd5fbae6b86595a908f5e28acc414a50644511b96f2168073bb0a7ee8a7bec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45d5dd3ab404581722815f9e852c154fa293ab9958fe6db86a4bdd1236a9c626.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45ef042e43fff9ba8c94583bba64a0173e1be7d4fdf60a084c6cada56c15ac2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45f1d1e8bd3899b7626b92fa7eab505148d93d9c4101b63cc5aba8c2430158de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/45f21c85130f2f3a9aa81fd2cc8069ace6625d8fe2fb39581326083cb32f3045.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4601989a3e4e5522dc55599d35a61cab468b103b177246fd7924a097b5bef055.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4601e29b404bf3c8e415445d1e8c3265698e39008280b0107cd7b5843c310b58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/460f578fa0d12e3b113ffa733f10230fbdb09231e40747e805da41712bb7c0d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4616adbaf5cfe2b9ff8a25abb7e195a23d48237d8494bfaf009192961c27f9f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/461913be9014b2d0550d1c9a401f2730a328317e4b29fb8841f9dd30cb7d574d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4628375b79c834296ad6cc64ff91facb148ab8c51af63388c9bb2bc5e8786050.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4637ef27dac4cb124bcf2049a5ac62dcad10f37d4fa834bd4640e8473787ba75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/463ac0d743bafa1d8036f9cfa350e35b6f290f21d6bcb0e71a7841f9b9796597.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/464bd9fc2472f50e2d38f558b2eae52824700995f387da0a0ca26c0df43e9cf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/465008a43c329f2a1c0ddbbccc09801ef0c4ddc980830f8c41b2ed31d225d160.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46573ffc6d9b8481f27817f25469fc4d7ea9af004c71882afb4c3e5e82c8f577.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4663c857668391f305c5c495394a5c1b34513e081581dc1c1048f736472477a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46727d8c96d4e724c47116661a95a280990ae47f7e5218c548f2d8faa2917743.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4684b803af36cdb2724d072e6f5c7856e4b324902d50db4333088c0d627c2a22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/468e8c75579c9c189bf6836c2790513090bb9d48824fb01d08a14eea54f9658e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/468f308d50ffd78c66c17c5184acaae793d183ecadb8faab9f7c9f069661a7f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4694287bb65929d65190b1f960376de053161e25d310d042fde80f11a6379022.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/469bd1da0db62c7f87802d7c813bd36beab55d8519510a0c52a6992503a9e0f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46a285f8a93377f1c6298eaed4464ca15e39df6abcfa86e4416e4a57df7f9ebd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46a748ff32500b60b78a9781639bebc7f7383fb73c4e9a5e1dbf9ea752272791.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46b57df49e11c9e982e4b5d5b66e953e648c45ffa34b893bca8ef880dd8853ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46b5b92eb66db2249b434646f6bac5126fe494fd5310350d436918633a3abe84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46b66f315c55da8d0627af21b0d70d419e214204f247a094d4a6ee8439e50c7f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46b762c918e898fb724fa720683eba53b26bc321714554cc6b7edfa4c96fe309.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46ba491d1e0d2dac96508920bab8d577f9e3086b799a99410e53c264f88a5361.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46c1b9d57f529c01dbbeccb0747ddadd5ec56e18e321dcdc60c9843ea11dc486.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46c6146b3ac1f73481bdbfa4722332cd8eec1fc98e8e9a1fba03f38970c77121.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46cc7b01aa4bb1da449331e458e5d911cefc9703ef810d5823678ac2f1ba18c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46d556998093f6976b72debf6399a65c31a2fd9d71af436790a7e1e283231de2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46d88f46af798f20367492f31e7ae06df698e513270e556117ebc01fe9dfd695.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46e1fe9a670ffe3c5f33b12285e0a849613e0907649399a42f050bcd3e6421b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46e7d37287cb7327634f8697f434c2cadbb841069e8cec7f6f1de939aa0067a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46eafd4ceab62e2fc009d6d5a4e8e6b56de8c7f30ac90c414935b1dc47b080ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46ef1cbf63d184e99252c3fe10212dd686bcb6a68f20666c53adcf000152a422.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46f07d13e98bcbdaaf225905b8419d016e1594847ced8d4d3323239cca44cc7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/46f3b0ac31daaf5755e49b1dec724102ee90a71f2207b24644731c41a8a6d721.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4709208d42e9f6decd03a99c5b22f8cfe9c6877bdec103a1ac94423c93dd9cfa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/470cd807923af975eeccf18dddd7c8b3a9a08b0c8b6170382ce4d7b6a2dd2041.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4711de2a20e6ca426b0360607631ca79994ade687bfb115a8b7db979ceb0f066.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4722a078dafe76f0d62e6a81ffa505470514521ae8a6ccd89241ea93bcd41fe0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/472b3bbaaa1ad6fb64cec8529170e526b80a1d05238be1519aefb079d7978d67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/472c5e2ac1181c3ad68886f25ea0d330c0382a0a180ef19246177912e709549a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/472f2ccdfec31bb3f9dc12984282d9b831754dac25b630b2202764c32dff6b4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/473081a63abb95d036d9f44b27850b5cad1d09f59dacb4086326eea7faa010a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4736e3e9866e7b4a9d646e7665dacb6d518ec055d6fc52aa0303102df4f7f3b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4737bc9ff8f66c9a242e226bafe0049fb6cb5e81be95ff297204507a0d5ad257.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47407a2038c12b271164e5af07fc3eb9f85a8ab582a8942ea12f049231fd8a4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4745e14a241dad625a0c2fc9fb9fc88cceed933819788e18d008745de7664a2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/474915e36260dacf0aae5ec21393d2177f3c4bc1087ea3bcf5b9faadf9fc8fa5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47503c562e4e066bfc80f186870d5a2e9a6e745e71910c910b17c83aaadc092e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4750af84e090ef077fb7880ea96723fcad8278b934a72f340d5144fef45f3f80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4757120f6bec254e28514498ff43a20364a3469f45489437ffb83d295dbb5dc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/475d595395cf279484b97532d0a9d9d7daefeeb64d7b01131b8f8ae3ad5d4ed5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/475ff4264ccdb05af6b128df46c87de47afb8ede6e5989d19210bbf66214412c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4760c7acbd00dbadc582510225605de7d789817afdc29c6c4445b7c2ed147a42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47645405a555acec7d91ed0cdbdab432439dbebaa37d057a77dd1352ffaf1dec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47645a57833c43a2a1ab98ae8cf0a94e24d53a922e0770c3f783e22e55638241.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/476d681a59bad14960af86e48445286a44fbe2f1326b936fe4743d21b876835d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/477016b2d60b3784b2f604b3789b73c8220132b6932b0b89d633f43e05fcca51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47747bd4553628f5d4c303e9ff6345ca26e2dd1fbda2fdabedda5fda770f7ce0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/478619bf12486359a7d82ab0a744bdd1477f2181f87a2f29d818d7e563d966d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/478d5d68413af77a40782dca924debe43ecd3037e9d6d104cba3b19d1e3ed373.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/478da7356576cd77c6905060ce67531cc5f49b826f7502b58f059d2e5f2f0296.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4795e27a99e6801f9d96035867211dfdbdd76d6fcb4fad517f1334799b70bce7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/479c0fe32660597580a540ca982828f7969e2ae0ec8c7a572cceedc4cb525bc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/479cbdef0ea9a78e22da47ff06ed73646be454fca202d1311d8a1fff7f138159.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/479d222685c1440a7a20f49ca53278b82059d01833121a2fdad2a327cde4055b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47a0138d7ab379095cea93b94d57470048cfc651c77120c924556187644069a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47a8640f7c281d7acddd966450dffeb4510e113d0eb26da8b94425bf2caf8acf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47b0eace5f845e063c5fcd1d62bd3382595760637240fe1291fe174650bd3f7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47b9e8dc4c77f4da7968b89dcf742193737ce95841b0afcedb5aacc708953a8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47bd7af2602bd950bd5a8178576b27b9d519f79587cda3b28f72f2d63e608e2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47c203b22fa4304692698e8ad944e7c33800e2b254ecad5285131d2d906fa350.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47c213d7948b6eaaf0274497a6616d48d9884c3405ae290294774d9e238b378f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47d07196aca0ac2df89ad9fbe58ec871570c266e22b55aecb7984c261b5d6dbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47d37b6fbc2c74d51300e00fd63466a48f801f1b0bc65be0776ded26dca983f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47e032e18e635f160e85fd18fc41e14fc1b3e117d83115bacfd5a27cbf5d991e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47e7af9693c499d121420e2d08ba7651816ee170f0f2f0226e4907a64ce5ae13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47ecc0f470344a07ab3d30b11197a13d5d0db2db73bfaadf74c2f12e8541af7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47ed1f1ec5b46969311afd564a19737ac0867f28a625a7fc3a4e416d6e3e1b46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47ef6001f8429e8ebd8c4a50616eebfef3d612b5b38f0d96684c99c9e9c8629f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47f54f3affe81d74767971a099b3197f33ae267d727fa2035b5101a3db27a797.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/47fdd612c22c279bc1be9f505beda5e5c81017bb397e687f525bc00211c32499.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48168a364ef022f02a84bc9cbfaa3dcd60ac05e7af7f136c5d934801c7abd0a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4826568a000ce61d9aa97991ce334e5567742eaa17ee274b47bc903fa53e4a62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/482849575a187f74dc67d3bb9f73c337f860be1d9732b337e082999f84df2a87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48299d3d1d1e2d7eef85ea0e9bfa89ac143be6559b8e3ee638ca5686534549d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/483798b0eeb9b0f3db660c1e8cea49c71bea2cd0a3cbf26e81988aa470bd2fad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/484147cdaf6864c036aa731cf14982d765602586953824a9ac6d46457bf46000.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/484564510a827ad0828a157a2023f1c5f62891d8cb3bd902f51397f36a2a8fdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/485011ad6ea4161b4081ee293821567eec12a1fd382a41c2d2c256ec4fe7aa97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/485ae1ea44809228f1b9051411916e71703f77dda15a9bedbbb8f3d3b10b7831.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/485bed498da9a24527c712799142dffcf308c237624ae392fd38f399a03f01a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/485da885c92d5fc9761a7c4ca4a7168636c67453115683e55a7bf2156cfaf7b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/485dff4908f0800a822197fb3d6a3c26ae33ff12fddb3e9f8ed6e75471d33a02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4865122cd2cd47b0fc2b090bfef218d8e77465173460acc1dd38e1adf80f6a2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4866cf658192e6d6b773c3cd3f8c23a93ba778d118bc8ee7a51d66af93dff69b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4868ce40a749ae81a2c64cada2271e044fb54aff9a357fb41f023000315d876b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48697460cea55427615f5b6bb71e81aa75fa774a7fccb9074b1eb74b57dd47d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/486cea812d7fd7723f6e1090fbe3bb4c55e7b0b59dfed914b348298ecd247630.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/486d1b0af4db1e54987340a452cd51d1c5cf2f1f86bcb8a833a871a41a60a4b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/486fc7abc70217fba5a5b9f7cf8342cdc1edbdf5db494a198614251c2b877301.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/487174c8a4bad2db3f61c6a2b98aa7c4ff0b2997a4cc25701166e07f9bc2bb45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/487413cd1ecfeccd303d789dee4bc3b559f45e1f213e05dccadedd33460cd2b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/487459ed9a35cdd38021812d362800ead6651428f3b06bbc0bb38f68432777f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48747d17016c096400b2ba22d00971576abf764c702fdc7f3a7a778b3c0ce623.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48783d1c93175467e80192270e3f01f4c51b0d33177bc8c8fb7a948406e4ce99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/487c3e00fdeb08e479eb06091ef635ab9d0e190b033ab070c4249087488b57f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/487e07229fc4ede46d1f9241a12368ded1309fea18a3053bf0e085c745c4bf4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/489ac7580bd18028984eba398552f8e890cd27087df58ba537b994299e2c7b02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/489ce7b97c7bb423024bb55ec9409f1b72413db4e6b5d0a07f1a7787eb2e64eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48a6b5e5d178cadac8fc977073a6b16102f6a11943f38101463e330ec0a4771b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48a808f28212b1bfffadf12b4bdaff68ea01411335c815c5e745088092215470.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48afba9de50253051b4c154dd2e3134c4cd3d0cbf1cc94e9030f3c69bc5b5c56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48b084b1a4eef218ef914a35283ab5d511de9cd4fac6d7cd0f39c252ab936445.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48b42a6ab7db5b04e394d218104f2927a36aa79b13442a51cdeed25240f1ea4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48ce6c1f884e74bdfcc1fe0f6d3466cebdffc516b86567e10e8571ff9cce4fd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48cf620bae769dec6ade101a1f648df4e8b34e36e1f480e560949345178c03fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/48e7e28ca9d3b7125dc152be548683ae4e92c7cfb05d1bc457c2b3fde2931ec3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/490b6e518f0c8458ba5b7c6af0207e32fa44e26ff20d61b4469f3bc898e07d0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4914c3c5884f30a2da00e2ff5c198cfc6e76acac39b2aca5f63424502ba7b320.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/492e413a421608f69860ae1efd321e370e6708b24e2aa5b1b638471aa4bbfd93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/493474fd9836050a14048e70e934ba6b4a6da632f34d207f2164de64119cd810.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49356b6e3f4e77c9f7b40d7693dce757b02b9420367a4efacce6b39861adf2c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/494d6a8ab59b342d86851828b3490466dc45e892ec75adc6839d865b61079a20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/494dc403e5121322e057b44c9edc8d2e0414f45486649fb1f0b40682f37a00f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4950c467453954cd93728d3ab98b47340eeab16baf41e908c860e176337f1790.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/495471946285172084299ff1e4b35bf9e80acb9771f00be4ad123fc571b189d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/495e86f90039ad8524ae7afc2e0a22b447a12e69b760e19933a2615be41a706d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4963119fadbf58e8397e5879d2eb6f77075d45924830db8bb82127fb9f96b73f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/496b7044616d70422c55b0988d2c29f14bc411156559bdd5fea48f7cfdbbb869.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49703bcb3bb9aeb9a3af9a9be9c14646d3b5d64488a79d118ddcd9bfa9ff5ac0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4981b1d285b80d1601d06fd38062e033ab47820e5e3adec805ce610e2cf428b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49830e103372552345e48a566cc04227661cd70bf669e928e451db0f8b09a656.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4984bcaebbf625aa92f645610964458b4905c155686d45d35e928fed4ad681aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49890f6b42cef750fb7fe4c9c58f10bbcc2cdd540a2ea1fe257726cf7c936e73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49981e34ffecb25b4b1ad9d99590d1558e0c7c2c9fac9b3d6419a035a9cb210a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/499bd0a635532a0270281ebacd8e42402878eb0450a937d943b1ea61c2058d6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/499d3d7a99548e7833cc9481b22e88c68ccd11a90793f6417f6c66d7e2072a30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/499f7a84ce756a55f6b0ced65d2994d2629fdf0a8c968191d093ac7ae77c2ca3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49ad006c486ad88143beeaf1de1ebdb5e5d2c6a760d68e38df72d072c1227089.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49b12af4f53b599372746af7f576d5e8a4a7fa6135ade87d5ba0b4ccbd1db721.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49b394bcc783e30e1b59f9a514c452568d197a5e8e302e8aebb06933ad238112.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49b48d5f7717f128d4fd774c0f948d4a7fceb2a72b59d6d1c7f42ce252ef19e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49b6318b6d3f4e229cefab21d4d1ab8b31f0a5a2ff1536b08e93d821d44179af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49b90eef2b3c889ae010297a60a4b5a377fdfce22c6e28a523423e11ade4a0fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49b947f7c7b42545694856dc214059590f1cbcc1da194043c7430ff513ca0762.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49bfe6e908d1e8ec76bd893a14d97b39182012cac231de98f8590dc6114c9f7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49c22ee8e257898dd46ddbacc8c8dbaf09f04f42b92f91a801bcaebb938f835e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49ca0c3eab937f2beb1c572b971775d9a4163e0ba36aa0c9537592c7a5be003f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49cb2b4de8da05b74647c3a6fdd413c2688895088d388ae0aa2247de8a778797.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49d0672dcf69bb21b94052bc77f531efde913e1c5c6a609207a3aef6057ddb9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49d231892a7ad1d991053108346c7dfa7234e606e6b450ff49d8a6fba02ec659.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49d5d28ae073586fad4d2f56aad382345f7865a380a73b312637bc3a563d2403.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49eda817db261b205c97e11e5ec1bc491e77a8cb5b78f30f7c96c62b9e1d7471.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49f2c91342ee4a403df196c1dfa4196ca59b1f1f995ef8c2a8f84fea44087afc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49f2cd94cda6686652a4975fab30eede234e50d17400cf00f4a61cc608c25ddd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49f6eb06b1adb7b9ef5b2cd198f87d2a4413dcbdb5e2357f8fae3bf20a57fbba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49f8b5a7952c85219e1a724d2b475c347623c3709ed9a9da9702a17153a56ad1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/49ff96dc36508565ef4798a10e3128370f9019469fa9aec0ebd415aab82e7db1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a06d661f82910a319b9af273a51b079069214788a1e67693fa069e961944b24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a0dbf729e957c3d218e6d709643e0fa84b2186c520d47359ddd4273fbb2dc45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a0ff38203840b30260b296e40bc543b7a18fa92fb5a820d13785f966149a19d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a1dddd67658114cd8bf26beb28bff4b4547680b047544ab73319d733c7babda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a41c8182512eef70c4fd5611df4214f99a2704e1cae72c042205dfa6a0a4bd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a48fb7739d9e120c9d9bf45ae627459c84d40ac088a93c468f24911338828f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a4fc835b4f323065b012b5a10124e53feb1a4a0e4396963e47ca8d243186eab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a532944dc37805c8f5c58acef3854b07a7483ab108b06007c05b4b65a20e4bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a5371c722fa158ce7707734216e3059205a0ce50e688087c0ed98cbbd658d3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a5f29c30b49d230d805eabfa8c7e483c8f2e6d17c73007decb9c1bf21f0a8f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a6a6b8b952591f64c329fff4e37ea7f195b00eab6a6d41db5f297ef02bc1d8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a6b0c7078e31a3afe27377478303997fc53544d2b9824a928d4a70369aaa620.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a6b6deb2f539c42dfafc1c8020d1229726ca156bbd4f71ba7479f7384469e21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a6f37805353cc6b4b7d69393bbf46d2036d686d4191be7243187723e0b643cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a706c8dc9cdf55cc37b00ae274912f2ad6ff0195b96be7bf5f648692682656a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a774bd5ce1ef57f892e2a0039426281b3fa6a86a71bb49bdefec32a50097f01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a83878e24adfc18bd7397c3ecfbd56caffbe04072fb14d8dbce80c2ab4fee77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a8aa135cca2ea27b2e808a22ef1f981be98e10757bfae76b7c0b90ec5d67772.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a92cac7061afd7b6f1c81a06aee3f9152308e54afc5c59b48567a14653cc3f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a99f88b67e5e3afa5d6ffdd5dcb0d358a501b2d13dac22a77e6236937e9b46c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a9b6349880996a3dd9dc3646bdeec0a409e473c67610ef72211fe8d588733f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4a9eba086609995dbcdbb5457270551d1328960cd030cbab911df483a45cc4d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4aa8145d3e1e841bab57e9ef6707b61a10fb4ead354575fb29d612519678456f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ab39fbefc5688a7045e8dbf331596218f21746251eff8081d3b447b6b43b5f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ab892451a611dd8c45f58108c266b9b70478189a643ced493182a352466070f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4abe728a713f446895ae87521de0023f053d814aa742889cf2672fdf54b20e42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ac66bd4e5e383e9f21a1e72b8b27ad4cbaf8237ead4bd1d3ebb5b62a3197575.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ac8a1ab66d0230fb1dfa193817c131e817ef6651a4a436bde1cc95e0d7b36a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4acab41108641a70e200057614d5599808c4b924205a82ddcea327931b6adcce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4acf04d065f38620326ae7ec7601b68f38a85e3df236986e7417e9311c15e4fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ad72ed3cbef9e7304d65a8949ed0212423476eb3e141f29a34f4f12fe4f05b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4adb824d307235096acef5cf22c5ebacd1bee74ae7ff5cc689f0fae93bb590d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4adbb7055df1f601c3cdc549ddc56eb26ac32dc79fad9f0dd0a14ad046d668f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4adbd2f6d66661b81188f678acc658aac39739c9acb13fc724e1ea0b386e16cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ae286441a9d3c7370c769d388899d5bcad7d6002c3e468181c2bf4d48214d40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4aeb5aa20ff84738665ceba8b5d984ad77dbcbbd114b25ba90922ec5fd1ac598.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4aec6fe6423c34f1af1c4d955dd2b535c637a6870110853585d0dd96d965027e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b0756c8dd99ec3275b49d53b075d1a1cb1b4bab6dc11ec4efa51a27984263dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b18f51b90f4c0ee6f4c2980dd283ef1a6b88c5e513640f3de8bd091f8a50681.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b21c93492f60436388965bbcfc22df2c0db3990e5d3492e1bf006fc444ed994.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b2a00586edfd8fca39ae632c48ebd5188a98b0990e8c4e1a989962b56172e97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b2be5b8bbd5a37262922b9ba94186f505a4b02d7d0c0d41e8938f8d5969a705.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b34b8c8a0cb00578f859c8163af7ec90586bfed63fd0d6d07f317744fbb2f5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b34be88c74f234cc95612ef7409994812fb206b6bce053bab2cd4451f500886.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b354346afc2347483b8212e39809a591349df823ec5349903c617213fe01205.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b37a1e99ff677a4a332f3adb2393e639c1899663632d13eee8b09e1e44521fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b38d02126ecf87b9ab76ffaa86c890d7dcb813a39f3d6473c5af9608c683cfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b39fc50d88c49e581451de434c2282d21302b7aa741747659660cfa025b07fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b40e8f79a34e3c9c90cdedd88b33566f3300784be87d48346e4a9efe245a3a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b417e403db4ca405a92a75685dad1aa80a9902600dfc582b07a0f6c6a637f83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b4b29c08e13109221c010c80d8cd14effb77db9c8dc9ba50bb1cda27080c758.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b4bf73d7a3dc40d0a8423e62e63978409d359e73cdcbdaf8e30e46ee4f7529c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b5c4e1b5c9b707e0085bb7feb56987cf804ad060f3eb5a92353d7590b691096.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b6ee29ccf05d73ce66eef3d9f26e3768e0b08e07e76dac82f2bc19df8897bbf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b6f5589008210d63a084f287bcde1b9388f9ca3a6f6005376d8da8b3ca7e5b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b726e5c2076bafa0d62933e114176b7fd6f89860ed1afd4142fd96d4e6a5421.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b72ee8b9ef6fbfdda419f3774b73a4d9e8d90634b1800ae8b804b3ad65c3da3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b7b02c63fbaeea09606affb5211840280001502c2881cfa28f1ee563f701fbf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b820880f92dee462aed3620ddbc1e13ba72450dbe12562eb71b78f5e54bacd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b8959c4d12b5dd0523f7900d3436f4ebc53e5aa9b015cf1e193a6f8fa14ee56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b9265ffad968ff5b7865f412a9e89f74dc68a30e33f831ae39a4fd7869b792c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4b9f0477018ad5463d1ac94f538ab704109c13bb6f44b6c09065778ce6d94aa7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ba336014a12b5ea4064c4feca446afd722e1f849fb9c9cc75022211e2d5ee29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ba7f996a49f676ca6c425804a39bb8d8e38cb7ab4dfa31d8ec1b2a04576d17a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bac4b72dc2f525e2b4ae25dcc0d93d146b6be2f2dc605a80ec234161989de4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4baf6a957411c69ef5f51fe1a2ce85f2f304b780c72d094d6bdfc896a24868c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bb7361dbee6312bc1d2db94fa5c6994958af2ad1b023b1b32ef08bea65ed472.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bbd747d2696e4f8613e92ebad202f1f291897061f40fbb97ab640ccad1126b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bc00758affd8fd3e8671b708d9a5b77a510e7a92703c06b78f5c1f16cc30bd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bc9552845797baf7897571ae87db536c1483397dea8a6dd1dd248870b84867c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bcf151370a4d6466bf347181a90d34836e39cc09370c126f7df9e9198e89a25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bd436aa4ab128256e2377a97dffe3fcfa0531d776d57f00e2547b05fef73729.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bd4a5a9178af9bcda8da57813fafee2f53ac4bf4bce1af95dd9ab33efb4f5eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bd5585dcb8ff00a1936a570725f4b4af896956a22d66c629eae85c6743eab00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bda710f88cd3e1ead1946883d248a02aaa2357a7333fc9b6e368c483ed8d06c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bde7abf8156bd28d2df0b6b7954e13abf4477dec0bdb396903bfd8ffc7a131a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4be29b94318d13660fb678709651d2caa3dba97f68b2f0d49c35bd73d6c190df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4be6ce8083b70893a8e276abd2981679cd51bca60d6f988d1ca702ae452f1953.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4be945ac331d058126980141d2d6c4aa852758ca5169042683ff6711741fde35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4bf9b3a7515705d57fff487e29289959c13dd735d933093e3f5910f9cf466b47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c078ab416897b8dcc2118ff6c750dfc462469963ccfa71a227d3c7ff7878c1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c08f2d09fc4c27976d5bfb1c798c32bab83b03ead5280cbbf540f3b0fd6681a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c14cf1c0c21daa3fe501dd5ba69fc052b0ff86970e73edb4444f731c26677d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c16ee0abab46a799a0b476a2d55ae3eff94e0cf6c5c43e2f1008adfd3c53d70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c1f62bb8f3064753fc5a1e370bf1bfa605f342dc44c1fec742adcb734078bf1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c25248b7aa6d40e878c2f81dcd1ad382932d7271e2a4cf9e800ff439fa4eef5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c35862dc50423b12daf7b397e86ee76e3d4b07902cf17f8eb16c6d3037ab2a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c3a6de2bffdbb511ca1f5992a331c30a95a16cc7224b96750f4eb30129fa183.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c3c783dbf6032e0c4f4b65b9c95cdf14d7b1487901de472ea4c53c2efb68217.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c441a888955db265939b392da29ba2b8700719bb0bc6be8d4af75222a85f833.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c528cf52f12e567ec1d60824020ae2c8c5f4b03dc99d3be664d233c26542df8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c55a4c6a7c20540519983c13ae575de3f8f0518b6cb8ae955610f2931f77b87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c5bcd53f479a714dc0edb96b08990fb4182ef5d6d3d9c7ecf735a3019f1f205.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c61da1b99182de0729dd35621d14dcc9b5fc022e101ab41728e865a913604aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c6777e69db95ffdb73b09058505b3e81ceeab2aac0d42331a951bff545d37ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c6d83e9f3f2e62ba9f9c1f6ec3aa148b9ab13f7cefe9daaf35405336ffcffe6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c6e424b142262434da988134048a58693d81a5455db9c71026be99d15be8ef6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c73b46c2263c2fc6da961c25177d9673eb9b563a62993841a590d75de3b26c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c7720696861a34a438e8356bf2b9ad10ca1377e8d3deb3bc3a76b8b19bbb096.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c81e3816f3bd3f73e638872f91f02c8e862ee4f5559001e55597f0f5524ca9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c845a4fee9dd80c156c6b8d2079225cd1809f2357fd9f88e54ba90847a6862c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c8df9eab73549888e7d60e4cbb5b6aafb83e9d76222325de4efda584661c9ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c8fd7ffb1cdd96c87c48add5f3085b580142997125faa6f35fa8c79acada979.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c94327c3392f105c57bc41208d6c2b57f6e9f8baa37b923bd2a4792c62caecb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c95382e82a8b768d3111d08e1b49c04ebea0abe3fefbeb8e389c0d7132dedbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4c999bb1d601fdcde654eab43bc95845224728df0a65831c39e6582324e9713d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ca095ae7acc2fc7685a72f7000da2bcafdfd723af1dc42e6ea8763a626e658e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cb1248d65fe96f50bb6c7165dbb80551855ee2aa70605e2ab08628d939209fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cb3a9756ceded54c9647e4b3ed344073a76b1eca38542be65c32d6b5b12e193.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cb5ad1f723a6ca7a3e8199cf4f9621cc21713a682928b5c87fa8a8f9d5a3ce4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cbdc15e15c7c428e72f5e628fe64752af30ea4225a703f6fe2882a78c0b19bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cc9b5419cba969bb4204b1a1aec4890a4606e8fc9d6c3fce03d8e286f28a63f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cd2e3064e55bbd211f905997ecdcc988868544029b3c0e6370b7df49adeecec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cd4d25c7ebda2aa131d94eda8c3ae22f596a2b90d2c4b7b44a3752b4204942a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cd51f359dca66d6d21be325674849e47335280c539c1fc531e53e1d78c1c2fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cd618781938e8756ecee02114d03697f121b347dd782c7a508c51c47d2ec56b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cd85101c4bb95a470cf97a79b92f730513432e3ee37d7c428bb97f318e29e9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cdc38b54511a0a34f65c838289b21ac0b8d94725e62064864f922866d6569f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ce4217ed456c77c80bd11a9d9aafe6c409aef48329ca1f05d900dd14fa9b953.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ce58240c207df6387f605a5f8a140016777ac0d1b1928de6723bda1498515f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ce5bb978315823c698956563e7b2a35588fefc7a490eee7403684f310f7ef91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ced1caafbaf5c609bcc5a8f4631ac15ca7689cc566ae04da35a4b49a4d439ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ced6dc6a3c50710b29d1f7061fe7e52b13ffa148a6a3e393bea4517c941ffd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cee6e58d3d686aa423b8360adfd0d1d63f5efadb9a4df8c8d9b59c2e1b38275.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cfa6cf3207845f74b1b2e925d365b1b5277314426571559f8c0c2d169d81c7f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4cfd79812c42e2b1aa5c8b90ecde0e991aaffdc6d5b66021bef03ccdf975df3e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d0004cad49e6fe3c7cbe054af54d357e7d178d8e200d94628d69f269e0241d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d12cc329d96771dba8568a58dbf9f644c4a0be219b391378af5069fe37ff56d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d1e04539648f9a26491ec4c9f9e4bc053a57ce4f5a1c27287404af6d2f2d178.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d27c71e7fa61b93ab0f09cf9d7228398d5ae2d56ffca1e5f2d70888522986f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d2c8930e1ce554b314264d63fdbe8d614a6c35f80cf52c6e23dd2966667dd0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d2f5ec1eaaee4964742eeb3def897a1fb4fa76cf5bee24a8b3d8269fe9312a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d376ec069b69ef7e8c1d869a4dfa891b426089e0a37b77444db6d6df6edf9e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d3a8e19eb2303a9f8ff9d559f01021096463989b1af3963536a5d3138b5ed5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d3b65a562deea984876dd940ff99e1707dc92709299d9108d352c0b4eaec0c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d3d2386115f39ed88d0b98e97703dc66022d57bbde2ab80a9ad797a93ef26d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d47c631d7584f071dccc6d7274bc0ec75023f25a125540f8a97070b3bbdbd6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d4e58aea01bdce7306f8bddd052f2c300d0b2c1acf5d5d841042a46a764b536.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d5506279f67ee2d47c98ec6f3d90409cb5197519d717fe82a2ae35899cc5d05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d5d3fe21ab2a89da87edc4be855c6973ae5df76df39fa23a48e0f408a0db771.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d740e4976516f31541da34aaef5743b84bc7b1974b1a799a9463b0d881cac9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d824c50e9726dc7aaeaf022f5998b00c10a998adbcf6be2a4cf1943c28184c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d86508f74611674056dd7575ac48f91f4e721d2f5f42c8fefcb895cdcd152f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d89f1399a786a996b39d14596d6b1e51dd57fe685b7044f166ff942c1c7ed92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d8cd81e3c49c3ab61c776bdade69f166cefe7e840544edb3407845a6c6e1ee2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d94ede49891b3beda0e2453abd21a28b41085ea3e342f505a5339167ed8f077.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d96c4d30d127f315c6dbc04f99ff76712fa5f9275c6e957931d5f02403ba8f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d9792602e7bf170789e1c95623b909be500f569c2a5fc4fc22188277d4213bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d990f2cc6843e0879ad5eb975524375c1df4fbf9f0ccdc89ecde7abd1f11313.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4d9d6aad77c6ce07c250f232ffab6910d9065ffc7dbe1f488c521a58c8b02082.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4da28fa636633bdb611107ee316f532d5f9337ede13754ee53203a9d331879be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4da2b958914cda0f396280a0b51144ab8953fd0cd4f71c52b7bc7b9cf375897a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4daa9fcca34870f378a1e7dc2c136328bfd9402986616d046011599deaa151f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4db0ed535030212f0000c4fb11dbd3bd2b85f3b8639c64e272a8fea3c9548b19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4dd281784977d3307c69906413f83227f64027fcaeebec9338c28b26e4beab2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4dd417007b4304ea06408c31d0a1c88b02bf146941206950ee6828faf9c1cb54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ddcb0618d97c625ab656ace4f8a0e9c626747415c4a09dd0240277efdb082f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4de10b949bd5535f516d8c9c00acf42145f245ec81a30e4236c65ee49eef0e7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4df31ee949f461c6e896c3acb86db8bf572ada98ca6addb9c58a7dff8233816a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4df6acba8bdc42700ed17d89105c66fd09197608a5f3a338bfabfa6ae7bb4f24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4df7ae163c09e45b387ae6626e95e1fbbdf0d8a89419136ffcf855e534fefc05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e06da836584af898f069b7f327a0a0b867a57aeffc86fa04885a8d8af776ceb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e0bffd0edad6d53973952a533f8097b506d46ae08731d169983cea18ef177dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e10ba80f8013253591f1e0819d1f631900873d800e82c85db08d57784034960.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e1342dab493698899b2260fab28966475314fc474da76f1374aa0ec65ddf5ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e1a669d3a7c07d2c9bcc96fa7a76d6888167cfa0d89ab5e799f0d52f84c6230.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e1da2816bfe1abfbfc027984fa2c2be14de1cf2703ae89816f1d09763550073.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e2fd7a5907cf4e8b9cc06fd5795ccd579360b3fa8ac97a2becff6373fa32536.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e3f9c11adc6906d1426b9cca629e9624a1d112ee7c359958795b7a2a55a7e06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e4d71effbfa17eb528728de69b38bb664e573682329754c94b5ea4f7d31a0e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e4f979ff06c7f51f9a004acbb9c0e02eec7da6878eb208159df75df9c2aa3f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e52e80136fbf57e285146215448a92cbd08b820e58b83acdbcbf8b45f9f4f9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e56c091986a23832014cf7894634a13a0778041f179305f870d2b07049a5d63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e5a485802ac2e3c1d00835576298fbeadddfc32561b6a45e543758b408d221d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e6a283a813e8262e3ef73683b9e711a22ac0868c8b6107207a12455dc0426b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e7274bff89ff3c6f1d86587df1df6662bfd4aac65ba770d8a525f4044efee3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e74b98f5cfefbabbc7d2282479b9328b8ab48610eb85c5053f79fbc45258c2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e75f98cddfb78573d0cdaa4be5e7132f27d02550df95e29c6fd8eb191ef99d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e7d2ec390128a81810a5f03a0f7b25338fc872c8f52be904ce90b8882b146d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e81043ab34cbe29b24186a4d141568735010bedc837353a061b790c6c26fcfc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e82b2b6a6b34e364e0791a774f38a9e270c1077407e3ea5482129d944afdb0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e8383084dbca984c2e296cd95810149651396ad13ea86ee564f9d1335ddfd39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e85c7c224f2a95ea8efcce3a419aaf6d08e2a2ea9130e6043cc3ae1ef4c2849.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e868f2efcf22d25a740422ae6181be53680b62b2ccf2f4d6e61b4276209f0a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e88737fe12be65d258a3ae6c781f8bafb00ee6f19c1131f23c986fd76bbd480.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e89dad57236f45b7aa129f9db3629d4c66283a0860035dde646bcee9731977d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e8fcccfebf3de8cf80cda3c3c3cf7f21c09ce5034abd05a80185881d8e2f63e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e95c11d6a810ce08ae1aa706e1db7317c09ec82c435d25250cc5b4082d04ebd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e9ef7b133aaa8b5d90c027c663d971ead5fefad88c9c4bf48a1680c2c151d0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4e9f6f553c3f07081492c7df7affb0bd2be0db6c7f699e574f141514c174d181.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4eaaf7cf685ce979abfd4224c214cae83ac704aae340bd7a5ccb884f85b258f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4eac1fe1fc881eb59bd37d0503b44bf41f0d2c77eb4bf8161c2ca72d618a0d8f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4eacf8049d88371c4221de1a822c9c88271afd166c20e5af791df014ca80f62a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4eb18cea25c7385352df764409cc7bcf6d2b96431e3fa6c98cd204ba7abbbb7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4eb2f0288926f18e029c4f4c0567b24e4b13dea6dbf577d86d11ffe9e2c50924.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4eb678ccff84b39db27de79beca8afe12c069645cd377bce8f6b70360d6c69b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ebcf597c2f0d13ac192715af983d45defc5510d98d40ff699fe70782172bb15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ec02aa2197ea964002287949734d9c2c3febe8a0e478845ba0a05f55a88b011.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ec9c74041e550b0a1b427ef9f22d24551067e4381cc5050b87a2af638a1c474.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4edc62582b34e76d0b961eebbdb283bc0e3fc251f2f8285d4c7fc9334ba98ffb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4eebab71918aa9f2d96678f7e374f4600bdf447d0c20bd79da9a085cf1331701.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4eec22fb46c2d7e5f49981e8fd03d2cbb80264cf6b39833cf6a61c079f2bb9c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f036d0d284742ce82224c1466f71202d55568c21967e7f357fb6dbfb56042cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f06e93176dfe09799b93f6714c47942011eaef09ef494ff49cb8c0e782c7be4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f06f67f2731958f2220855e6195e99afe7290a3601dfcaf8a5073d9cc0ee6db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f0831a839e9027a9d86790bd06410bb3ada0d3f57832672e553afa2ee8ab5c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f0f3543b4b06b2421b405db4291061cb10aa9ed296f5da8f91b18ba48de9103.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f11071e0ce092b75d7149d8f1807652875fec2de9abea1005a736185641ce31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f13b5a1a195fb5acf0ffb72b4b4d9d1ad45249470acbd32b4069cb56a2b98c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f158750f554e9087dddbc9007f5aceed9d9daca45b6f589c6230e110d8a1ff6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f23b14f2c1434abe63091c29690694af74fb90649046f5fdae443ea79429c02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f24050c3d796448c02a1eec39ac8412c069a97e46f6be8e4baba28cee5a7134.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f32d7c1366ee41531cfaa17bcc55652f000d0cd216214862d3a67adbe067205.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f3b467435f7b70922fb22d1babc1a82f47bfe7fd5935a563ab98a9e796e1ffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f4b5748ba6349e560ec7845cfb63abd3f4c839b2121008938348f360452e4a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f5018f6217f17d63af3a9e38593c7d389654b0013d103264d8f6c80e4eb4eb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f5344a62fe71db57dd19a32f2eeadefc6166de6c924f5d382bfc0ecdfc2cbba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f578f1b2bafb3206c78871144fba06d8930b169d5cb68c231992374f81c2020.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f58ed660ea046d98dd89d7d4c9bf466580147a87a36a95d19d9c4a1513fa517.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f5faaadd83ce385f2ca724a2c18ef2fda99a91dbc4c12d00e18edf9e0429bf0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f605d4c1b90689225c4b1128325b1f8a5702ab1ba53223549982bbf68c4e58c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f692e66b139098197f7a32b6f7eeeaed34ef8efc34107eec730dbf489a7efd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f6bdace3502379d47cc9c5cf70a25b8bf854193230ac0611dbb8e3692c16f0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f6d9dfaf373c82896673ad5ae821467d2d12bdd4cf363151daebca00eec3d96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f6fa102264ae0b63ce1f2b8f378bf6966562de1192cb8036e93ea5d144fef6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f82457d4c29b377e1df4877812c58153857cc0550db1f0955265ab08811be93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f89d83326c3080bad3d916977f6888928c7d2bfe7124488995ef21a6db80359.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f9e4d4275362b7050a05fc6a3a086c962178a5e80cd6f27cab3a1045cd7337c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4f9f098a3728285fabb7bf8ea3b0965bf01184562efc320ee6522f845e1e617b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fa62de0fc0f028b7bda9ab37da64f946f01b26618853bb907841c1ef9a0cf94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fb234560492e0b87143fed7e6e5ddea5b94f3d8e99046345cb95f50c300c2bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fb83e4b8a79863e82033e9a48cdde405f605b392cbd912f401a0b97d87a25de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fbed17fcfc79ec15b74259399ade4205867e05d02ee55ecd354407b2ebaaecd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fc1275b5e265a9138f0e0f0b08b138b7d51108452af6d5b012ac61868d62f68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fc9555969fe68c15c2e075f32064091a66869fdb3640303404a250d95774280.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fd4c746e3505b02ec6651c0101892cd26995af34f9daee71c2c11a9064f5848.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fddb1a4cfcf237fd9ceeb26e24de4d8c4db09ebd0091f68c31e32bf00d1510e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fe39ec481b554b3741e135d80d151913f4e3c97a61ca6b33ae8e65866f52c49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fe44fc0f2dfeb194e57611f233d76005f08281e9fefa297c8ec923234f4a469.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fe6355b3b732f44fbd53795fc451c5684b13e54f7b70e429f74a6aea8ec5030.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fe9fc973f79a0ecc2495ae837b6d077e361f7eb9017967e5be0359f060ccdf0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fedaed318998711dededb58599fe2cd253836b15211c131bb5245903e9fa0f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4fee4d3ce6710c468be6ed3cad033626d8f646cdfee8b49668fcb717bd277ca1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ff139b816cd45abdd3683f87744410ff95b736279c35219873779e822aa5b96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/4ff6fc2a16495e4bb7475f5df825abdae0eb4cbcc6d264fb61815ba368487e42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/500192bc183b5c9365cf6aa1179d07db9d3b4b5519843699b9da6239e5a532bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5003635db7b607be352bf726bad1567c39b0f06d4ca21ae7f08e155804c10336.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50137e3a6a91a4d9bc6e2261d47c07f2f3511d726c0f8993ec595141c393e5ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/501748489f846e7ccf18e6e3c4f479d4bedfaa7df3643eb04b54478d9b4f8ef4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/501adecfa3434b085a81b4d9af5cd59cef5b6121272c0fcfdd015a1ca2d1195c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/502fbbc5db014369e18e1c1234ae9b4175a4a612106f5101180402cae4164f8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/502fd72e5d939df680d52e142b23852cdeb85b18dda2dbceec87fdbce2a25aff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50526e9497f1dee30444028f7c30d3a724cc83ce4f7f3a308a7d3c869fdbf70f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5056d10ae69d2f1c792394594eb2de92b4860fb985ca1fc07c5a2c97af0837a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/506161eb7851dd8676c4629167850b24f33c76fcfb402717d00d9ed8136bfd41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5061cb9c7911a54d58ac03ae5423fc08864a208fdcb082215b40a8f89653ce17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/506986a7786d33d6fddcda953d60bdb2fd375e349d4cb8b37826242fc7b44009.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/506c1c8b7f43a4a631fb250a6fd99004892784453ee10e56ba9980d8bf55906b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/506d69ccc1a0860ce484fea85153018da0c1f666e224bc69ce36ab52261d4e9a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/507bac847aee5c8dbcdedf7341d3fde46de06acaf159433ac54a07d2e4a83e47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50802ecd07aa2c01c3602bae1fa03c516227df6211972d921574ddf84af85ccc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5096af5c51f86386a5c6131c830d473bb5eefc01cce3b683260706f08afee378.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/509cddd3ae81b219c7101fcaff2e2a1c4fda5ee450a7657c3f329bd365d2a331.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50a93f3717904c2d931b47a0e08c7a51d98364d7fa050825b85dace67d5f083f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50ab39895072f35f595f084b412f3d408076ce2c656f8bf0f32f4f45d66d42d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50ac04f442caac0c1a2e92515bbc31c1ccd2587906f99fa00c3a0e7154feb34e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50b06a33e5d258d5e9bbc9676f8e20368630bf07447a37185e45de9ae7c7d1c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50bc547e3cd89b32d64f3ce4d1c4d29b4a98f736f992a3f64e9bb00b94547b60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50c05c8e033d640e8aec4de4bc1c74993de6831f935c4876880328a474166412.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50c09e55ad833164ef83d272c835f23eb8daa2590caa5d3d67da540b67bf2fc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50cb07bdfe0879f4c0e1e436330bfd85a9a395ce42c01766a7e590ed5b2d342a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50cfa9d5323ef8179d72c8929154fb7248655106f60a21999fbd52ecdb3e985b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50d069aadc29cf46fd199ce41fe52154ae6f93b1c1863cdf2783d4b68f589ea2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50d712f334978f384b455cecb595e4bf7ad3ae450b95c170304698b64bd683a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50d728a490699ea7e5cf1060af3b13bd6acd1e4586c18993c9c6a765cd736a32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50da23d90185f52d1b481e4744a04da133a7edf468f481d5208f95aff38e6004.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50dbcbaef8eba72b21cc1f9e7a94eed9ae48d1217975a9cb17a55a8b8fc596cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50efffd4f9767de0ddd407a2467bc2a429a88c482f3a4178ee91d80068576e48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50f408cb4dc668297aae24c4634f8bde4ed1b4d2734c683e1da8dc46cff8e6dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50f8ecde5398a0e2b2d3270eb2bdb41543609033ae4d8d8fc06b8ba215882124.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50f9d67db556d885e58d9abb972ffa682e0d18ffda0ce139a85470161f000303.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/50ff5f16eca54c58447d1bb16bdf3738deda53dcf08795d473672e4dbcfe49ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/510075a0e6d03f5dd18f5ba50ff17f19ff7a17e3c0e28c6071425240cd18ee91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5110dbf5e6ceda2f4b6e23df05ff9cc7662061647081df5d17ecc5f6201a348b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5115a77c85f78a0d1eabd4e4f5496a132bf251ed80361b38aa32f04d852a17ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/511ca1d89402eda224fdc3dbbad4dc3adc25e87ce16397c98c2e8033cb38ee52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5121c3d243cc1d2e4685dd22e28304ee4a629f0fe001c24c35157881d18ab94f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51232bf9446fd36d20e245de83f61b039458a78dac43b10096af45c059614be5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5126db6e6b31c1cf4189c89de025b4ec2b48d58d9569bc08ad5ef634ab0a4780.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51292cf7a39e910e5f6250a04938105f58829b032190ed6dbd421fc49b7ecc4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/513477c311f4f2668b44a783db96d216ddc9f87b735777fb13e714ea6f631fc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/513578845e8de1cb8a7888d006a4672aa4e749edbe429aae2985cee5874d5fab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5154f061e527a065bcb43c3939dc9a43955abc7d5ce0e784f8a14207fdb69ec7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51550002c3b304f382587e6fafb20b1ba2eb7c359bc6dfb6e62be0c96d321638.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/515fed2108cbb6611a50674f973d61d3c9320b4e0c531f4c368fa4967f42baca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5160ef32bd1af2ee478883f6aa4fce79035e5364ee70daab634a4e18390ed90d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5168ad4e2484da506277784e4c9b281c34d8d1ad3bfefbeaf93ad03d0af75261.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/516f796c1dc8c875134bde949b3f7228d6f42fa9c5d2bea9aa42613ac1b4ff9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5171b8901855ff410da9f5f3824be32483eaabbcfc789be4cd26bd579b155614.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5172b51349a6da35a6568daeab9c8fc72ea13215b373557f234b73d3eee28ad1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/517edf991a455cc65eea8728fad7aa1d805d89f6af79e4703cc2127eeb562b00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51828e10e38cc762ad2bbc65ebd2d119517dd255d97f0b5d93352096c42f405f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/518a226b4df94232547a79fd90dfa5e24bd957d7139aae7b048093dce25f822b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/518f3685d6c3fa4560f22607772bbdabab6a4d52b090746e8bed015a71f31fb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51a2793d34c96499baba21ae35fc7d76ead199231b288ebf7db79af1d4f4a146.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51a542807730826aaba808b35f97d21b80411a80f46fc9c3355088e2ef49819c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51c29eff10175f51f4c1b1a5144575497f54f7fbe38f8a68164a9bac11ba93c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51c4e9177e3a467c6f3bbecd0eea9413af57aaed9f3c650a26484cff3274ead8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51c6284dae7cfec644363fd6883635ff847f50c67e07746f12e2736ea1545069.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51c910ff98c9d37576173c25c8a704a6aaa39352707f2395f4e222f45c23c100.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51ca3107c81824fd41a535ee30d576823b6c6207614d1382ee157a96913ebb1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51d680384313ebc9ca62e7a43e58ab40cd83626092af4e90b7abcb9e906aa181.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51d96d61471addcb66ab5b5d0cd118d82b3611ebd521fb965574940f7eaa0806.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51e188efcb033d589048289dc4e16b1370de6738eea11261833abafbc96b13aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51e9c4a08f9ee3ad19e289ea318e7144b76b261dc1baceb1894644f5eb518593.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51ee6deac97640c032b3c4873c0bb2bd312aac12baa06efc5ddedd1815b243f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51f8080a263c4bed79008516ac7ef988b65c19853e5a171d890b3b9f87096443.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51f961606b320acbe3ea32647acf1996114a42a1d56d648b00362cfc7040cd76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/51f9fc70e408002c14696992e1f0383d6a3b1e1dcb8b6e802583816b88b8fb00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5208fe7a335b767e6091891162638eea1b74b30436ccc1910ec205f6fab92ab6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52099ec5d84c91c516e6aa5366239256887cb1631f9b2e035a6d155d428d6fdf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/520ada8f84f699fdcc2e74b26308cfc975cf912416fac23843d0a5fd328dac7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/520c8e5c3dd14254007b63f91047847c5239000d978c28e2d81c9625b17a10f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52113b80b57c16eda524a456bb1497b512cfbc45a999fe226c264fe8f8635dbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52129293787df8f786dc56f5318bbfb51e1935c519f6d6c1c5eea69b6c9f0959.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/521c5b291259579d1230168522e981cdb48bde7e94a01600bf7df3f46068fb9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5223739f65feb7ed8eb6078ec4ee87c3e5d1872903906defe60bb677398ceb1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52252663fa7bbff726a420f4e58a71ece353c95ef7400d1d7e3eadf7ec88f188.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52256d65656aa2dcd4fd1aa1959aee69f50263694262ffabd082ebdcee631a61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5226bed43356df5b42129ad4fb3b73952840337f5144c267f521032df553bd2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/522b7d8a9f8c6168f10583e32ad2a35728102287b09f735d8a2fdf63ed2ec839.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/522d8a69424105b601bd4618515a39a9acaace3820c85c504abb9ccbea6e3e4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52349f43c392db00b4e866e9cd0ea7f5b5aa8d49b2415fffd0191b425d3469a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5239ee21e1e66ac1c4585f3c138bd5ed77869d737ed0600c4df3f9576d0d9dfc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/523a9a2385e818e4490793318ce3c4c8dc466281075498d8cf809dc4e1a86626.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/523cf9c5c6e7c42fa603166b333eb09b47eb75b4798e529e37865d072e37e1af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5248349faa41ed0a6c15ae151500c5798b9c7e4b59b61ce402b68483a96a338b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/524ac3bd64f532fbc32acb0275fa2c2b8401fd0a9ad1ba61ece312de0206bc85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5254e66ab20adc309a4de58a326d9ae2fcfa09facb48e54683e125820e529ce5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52647748966ba1f1a1ce5c0fad06b85acf407f3d9f6b573d29792b16c3060b65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5265e5b3cdf9a0d836213473783904ac6362698a640eb3e43f01ef1fe2ec07e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/526f8dc05b7198b2cff18e03aff683d7ceb3c22b1806bf99b1dfe0bd5ac75c04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52701e6e8aa9fe4e1c66ebe11734b58285263755232818d6e8dc1a252c044299.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/527537e2040ae1bd9525194e511a6f6a508add75d1b2100e856e80badaf14d27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/528f3d9a203bccae05ceee3c3eb39da5d3652b303e4ad34abcca29e63a7ba01f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52a064757471b0eb40158f5340c600da03711482ba35ab1fb406229d80787818.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52aa32f1aff16aafa8c80de1cb4e83184769adaff4ddee7205d5469e80f95d9a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52aa68742e1423052cf1084bbcfd0c1a7950d6c1b5f604dc255b5b08555bb2c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52aa899146078ab097b09b25b5675483f8e3e4255009fc6b427e00057e26d7ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52aaf37935c62b9e9d2c71aa3e3c9b020bdb46f51ed73c5e3cf9934226403357.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52b58d5138217d5a003cad2174f8029e3cf5808c45a4824e2cf389a2fb3128c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52bb4a146dc35cec6773763f4b1b04f433b5d3a67172ba1d4242d6c882d1d831.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52bcf7c3a2d7f3838a0acc4e9798b00c21b1a89cc418208ba005798ca5b903e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52c2c36e5b5eebfcb582c7b5e63ddd9718c5bf0bdca8512800222ef8eafe001a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52c94cbf483b6355252de7e7e0176a55d9cdb25f74d5784077b0f318492a0154.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52da230d9aa9d899729cdd2cc2222bd3d720a0d22b7f3ce4cac9c4b9c5a00814.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52dcc74ef98a99084ca949afc751fba5c2669502d09f04130fadb0046d59a351.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52eb32162e67380de2a7a59ef43ee1097b278cf4016bbc2859e2a276ab122a57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52f73f0d28804c77c295fba91764fd241b1f3e4be794d271b06588ba0b94a5fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/52fedafbb47327830a21b0e2fd9c4245019c5f6acc1f8e7e56b3cbab48b25a17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/530e671be86a7a0661243cbf6315dd4b5a2b4405acb538676a879ba3f0d148e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53116aa510aed9300f1fdbd6ad3ca8f6dac49e9c3cf5703b6c280cc29a434d25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5317be38e864b2eb55f4f60b293bb0425057f460035256ce99d0831b45df8286.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5318038c3bd92bfb4f96d44516f22104ebc3507b3e5cff9f0949e8ec90dfd0f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53232c12c2aab679c209949c9b7379ac7cb23017e064597f7266d4acc0caca5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/532995e7507427c1279aea71a4e4df79bee0af86fc75592804f76f2cbd100ce9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/532c923977e61e20df52b3d8a81a1964020fb4f06a8aeb986db4f05e3a975613.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/532d4eb1899f9c12c7c374af974f3be9e5852fdfa8f290e64e3cce5233a55f9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5332e9ddc016c7f928b4293a21dcdc63333883d1a10bdb32eb5365aa71a55a5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5337b243ff6ce5580b531d7c67604982700726981a685f252b13cddf5632ecc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/533a180e138e9cecf8603774d8c2d4672aa8388ab9a75b3ca26960a211ccc75f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/533ad9d3d28604a7483fc32403091c53e9385b98cd7226a71715d2ceb1214490.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/533b4a15745702f5a8e32c72dfcecdc74f39ea4f6a4f62c92eef58972b69869c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/534286919d927665718ca8c8e8ad2a540ee36660de6a3c008aa914cbf82d9d7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5346b584aa3923a2c489b22e0371f3d247187163f435037ebdf8cafcb8fb4ce0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/534dd2214cfe455d2082f8c00805c11d71a908f51576b6fc90b5cb207a3559a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5352418a126eb5913ceef553f54613d2f5001e7c4e95138735f206f36bb52352.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5354a773710e4c40007522ee79f99f2f94d0dd190ee67d080e256d96e20ba356.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5356701a928dcc00a198aaf6611b649fc4dba30e04c783d5faec666ebbca83c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5367b53a47e823789eff919b459070ad9d0c42a9f4eabb6d313eddbe3dcb6e79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/537559ff4da76278127664e908ff41f3ff202ceca7a78b38d87b038bf39241e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5378b6696c6bbf901d40675252c43e0d3633b619850532039adfa9e5db275925.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/537dfa7d8fc1fb3b81285b4c095e17d3f0e6ae4e3a92bb751aeb48aeaa7bfef2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/538bfd097f9dfe298e07e4d5d38fc21f5f8d0f85390216a8cec2934149cbbf0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/538e3767272eb10f883929c16a793b30cd426dac343066b6fe60157c0029d4be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/538fb6360b60ce2f5da98a686f35bf8a6bdf5b1951d4497b4c0e4593cc949d39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/539972a4909102ae481954a4a2bca91c8c7f58f6648da0250bc8af521f45db20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53a809069d1b8933c1860860e404adeb561eee8ec11580d279f2cfd5917ce900.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53abf0f553fa68e3f578fbcdd432bc43b2b23a11b6da4cea970920346143d341.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53ae9640ae418fc2cb8e8895fe8ed291c7799f1023bd37a79a0509165f23bc3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53b16471e809a48524a634e399bf7c451ea3f847870c2caa024be5ecd652720e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53b551fdd6c1d220288c4ad03043947bdc4dc7bfcb1b2ffef49d8b73f1c82ee1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53b977d187182c1d6cd1e3cf83552d12a41a63b053d5e8f91e75a32fde115df5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53c1562e19b7fbef76339a5b6fa5abbfd49c3485804d40a67e336df959a04baf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53c9473cbfc738afd9331273f159d2f8ac1a3358799de2d64e82bfb700a69653.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53cac95c5fad6df950123b5f112f5ed750a55f9a85049e8706f6e9c88609c766.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53cbb0e9345817b17dbbe6999b834ab6712f41c8d2e0367459d26cbf1e026ddf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53cc5ed9186533b38d4a05640f88e304b368f64e5676a33a358ee90fc6323c29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53cd20f8d6a3a1041e61d1cdc1cdadcdd108929a23e2fea40cad21fb93fe5a67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53d22cd45c6a10b619298d7264acb1e1ec84a5958b4f510e0149dc2560a0fde5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53d31ef1efdd17d57788ad6470d528ba41c6dba644fcdf88e39abce03220f8e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53d6b31e37725ec8a294789271ca127d93a2eeb407c398ac4e1727d7cad242d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53d9f1a4da9719d14fc2b37d3a97224a377ca3adcba1b5eef4bbcd3f6af1ae96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53e48e25e5fc445b6ce421e5829f9d63bb8546e5ea3b38afed774faa1955f188.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53e6b5395a4af43e575afadbaec0d2141ea8483433c4a42dca07003d9c78c268.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53e9ed6848d3a7e94990393b4eca43c75c16fbb04642d9bcf584481fb60ee6be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53eaf081654f3281c5aadec0585083e3c02f2cf5be857c42240a7a58c7c4f54b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53efe4c3e13be4cdb33d36b07a6cb530b0edf725cd3007ccc28a814c81b66bdc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53f6877130595acfab64222083443a1d5ed9150a8b6170a2b123de074701004f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53fc1c881f27681d8ca6b7f79f3b37466eac7b43ca636ea2bc07052ca1f69cc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53ff565e3d670212afbf8a517568349d95b2be9b5d537d3c9e30ac6abe6dee83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/53ff584b034e22a12b0db47c55a7c18655c8ec807298fb02901d3c7e55a63c3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5403124096b967e4ca1686b92be6986a24d376ecb9e64429a66d7c123e872cf0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54095adde3b886458f3b4b87389ecd6f29a445f39b109cdac5df0a0deedaf251.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/540b96b320a1eaed93fc344302596614d3bcd0967f4c97d70b57a599481c8e8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/540cb9992af674268128f3f32a775c21fc6252a975a04a4f793d17bc0d2e46b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5410f36a9aa51ff22fa1646e728d952c2ca7d2e7b37171e2aadf32a08788d940.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5417969beedbee4681a9c36b618a2be573bafe133cdc3cf6590d3a7ca14afade.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54194d822395afdcd7b17bdfaeb008d5a17f92a1d003eaecda13a1c8d5572fa2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/541af5aa951fb1dd763fb77c2eb142bf1ac36f671e895fe08bbceb5f16a07abe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5420cfca7b1c3954b9daf2e54ceaf78fcf13f25e82c212b0bf4eea3999f83c0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5423d17e84f4326587d22448cd78dc33204da3848e2271d3e922d4a79af15920.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5425b5344dfb1352c6a50249171a5193dd8009cf8cd5c8dd4b3f5cf4ac442e85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5426d170e226d10f66758e0942c0ed9b493b3a6a4900e8e655c3ad9b6c46e465.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/542a1bb7fad7d9acf421da3dfd808a23ea56b1df61789c58305dc85f99898744.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/542b0b6e79a9514fbb1ba8d17ab02125bf4ddb12a9c8acc333a32047da348471.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/542fc111208cca6f5c1a4a7c9e35934298fd075714fbbcd0a83421d019001744.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54498fc9001ccd183273c7fa8eac1a4170d03d22142317dd29f40ab359acbdad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/544e360c9de2e4c0d3b54a08f2cecef179f04cf5c55fae4f9c6b37894260e8ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/545a4df9edf0a8793e13a8d450030cf4be2f54caa1025d5b1729589aa163f5a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54642a18217458a9c88c70c19cafa7fe93568b41584021c8356586097e760371.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54655e1a4635d023f6db432ed5558c45be7e995d913ecf110d41fa614323df57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/547399856c4501d7e3db41cfd1f5ede922c392651b57db5b020699ca124cc367.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/547e563812bc153361fd45685c8e4ee4526e9fb0ac313b5525b009fdf816271b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5480befe2863064a928dbc37e21b7f8b99dcdede9042cf97936623ab409f7d0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5490ceb10b1b0c7cba2ff20a63920c31bffe37c2df538aeb76ca7ac9ae859070.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/549713ebc82cf1a17e24d95f6e0c614fbb1b1a15058a51470281cd764a3f111f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54a95a43c036db3d109152abb645ab1bc190b6f69c071684844710e49c8e8ce7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54b1a76782bfa46c3fc07630a101e8ff8d58fe588205f439860a67be37026b77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54bdae48610df32da3960b0667c920018e16474639013f8c94b9c139ba360095.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54c0bf1ce9a06d51b5a6a79d3c49f91aafcbb231b5f24838a95eecf035c4b2c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54c245a45f42dc0e383c03971c50e70934127ad17a3b5510b07479720e86cc50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54c6d29e1adcfe144a8bc7e655537d39aab9bd42f9e0557bb9d21060ae132f7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54c8bd99a5eaeb82c32e0220273518c177106a5dc6c11ec22444f72692c65867.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54c9234b5bae21f21add9efcfc83f5110ce7960079cd0b3a149fbe25e1241f52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54c9b53bf6f479200c719856fb4dfb1aa3c6c2b257dc7b2f0f23643ff3656e84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54ca51b5d84a94ffe119b6a5ada2e62966c05c82a03afd6ec7bbcba52a3eb8c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54cfa1ed735dd13a2899f44fd9a7ca6332602e6dc591c4ab6ab6971596f1ffef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54d0e1f049ed6d72ca9a034e4923e60a6168bed2811c3db3f519731c57d6b34f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54d3bca60a0e0aea442119f5ec2fe8bf64a44226efb81880df4d933c0798cb37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54d407deb8dd8edf95f99a99fabc6661f537b52659eefbf7be23a58297fdaab2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54da363df985888f1e4a3b45cf67ac492edd492f03293c55d68ecf4a65f0e629.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54da90100a2ae1ad66ebcab210e6b5862cb98bc73a72f5f8dd159d673c1a3c3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54def2c8c7fe305d580767297a51e5f7827aa90746e59b4787125c9af8066c1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54ea518052a19e2928cdf72d8b4486a85ebf88b567323c37618ed54128d5c81a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54eb1819766ebf5143f21c9119a38419135d30f88954acb93611b8a9a1302512.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54f294412f0590a69df1a50697f2aa45ee8710fd87f2a012ce80ae488540e03c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54f7bd47d8521e73c942869a618f32d70bf7b396152f878d6b2a25916537dcd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54fadcf93320115144d30f14f444eaab9566834b656c4f0608ba6dce975110fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54fbd50c80145edef2559b982ed4acd26e26ec6e219bcbd522c84e26ebecd8db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54fd781f50050c53d296f565c00dc81c38e1a540c0679112d2ad593d24ce6a75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/54ffbac043b16b5f5e85233a912424bfb19c913e57d1832b5969582a60aa7411.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/550281a5f2ca9a6ff794194e207cdc382cb8354a86ce0000b0a587ef509814ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5503fad5099489c4f8953342f41b65c813b785bc5b13214012ffc45eb46622d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5508ea07720f62857ea11c1d1c50fe83d40aaae41a3a41a8467f0af56a973358.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/550997729b830c7a553d66e1ad9e50a12eec55cb56e9716191244fefd5fd3f1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/550c3fab5e148a7af2d4823d317c564145d64d6cf6400534aecc9e4a1bb03a48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/551caea794d9958e5f403f21e65eaf15541cef6a4a6cd7d445c155144a989528.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55342f0574dd35d35c7368b462f5232d6074a6a2ca7046d95f9654f39ef49c8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55344575ec359af9d86caad9e903a2e38015a0b65ddd511c82ed7361b84f94c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/553834831f340e1442fc26f76a3e71b3ae1385f9cf194a2e3f8c1867dcaad81f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/554c6204d8add184bb27fe09e21c17fb561f1f19feb241fc3ee491624f5886e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55596f551d0ab5d64258c23214779f75bc8cdf21c75d3c5bd7e29e48a43d15bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/555a544e1b527832e09cbe3f279d848dcafd2eb4e6e826612c9fdd0eabbe7d73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/557436c7d93d82fafb9f663a9396c66683bad4b5509a1b03b7405485019e81cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5575ef26f20571ea34683a85e8661ab3d6b8b304c43878ccb6240bb1befd82ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/558bc02d34d744b598e21d94d7eb2e74376971e17a515b737e2f113360c999ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/559b8aad9dd13c5849df17c223b2a081576a2e83627eb8b6b26d77aeac92a472.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/559c5d0990272371dda2e3e05f3d12a49a67113cfecb83ef6c910ed67b52c3ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55a0746888255b7cdc8e5a8b8b7d16f9b933abedfd3bf94e521fc3f1e4844cad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55a9554578da465901dff7006d2df1845b8663520e1a178583973692cf93091d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55b3d847ab4042b002bd396cf4eaffc2b6fbd7525af0b74808a7357bba475a07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55bcaf7147a7cc4110c67a156da691044ab97586b7de787648e5af862084723c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55bdda9472667c1658d831afd1ab469a0599ee1454e63255c58c2eed32049310.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55bffe34d35a7fc565d29f9b19fa61e2d5e8c435322053f586f61f1772bd9e5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55ca5106e1ad0e7b05a8bde02bd17f30eb9057d7b911b2e6a7370c24418aefaa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55cc7001aeb3f4c407f078a4c45d6ba7309613003adc42c270083c1438fb42af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55d0d34ccaf045f78ab68b2f09e9eec54367724d75bdbaaeb3dfd928d430385e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55f882a04bd31bc5c740e44ea5725980dca7ce55908c1a6a934add2c58383103.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/55f9d4f1bea0d9708c3a55e483d41e996ddb4ef67e0908d2880ecf63adbcfd9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5603a8be13148bb0a875e58e40f6a8bf8a27b935e1b6ad49e3d61278a57c482a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/560cd993ea7f9caa54a54c6a7491ca5b26d63a71f2c367316d59878997b3c18b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56109934b9d9a2951ad843a70fb0430e1b8fde4dee5ee2a9cdbb4ac43b84810e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56119b3fdf1cd5ebc5bdc6ffa66f6be6e846f5fb98c1e3d0ed5e976a20059ab3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5611aee9918ad92d034c05f0d86ec14c182672ff1e2ffefc05fad1d2f1a83f64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5617387c5215f7125f273bed69ea6560f414244dc49843fc1513b019852744f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/561fc01a042062d2394c3308cd68decf3d15f9f9b16a98a3cdb8d9859f0e084f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56243315fbd7b192bf15098edc54cdcd480f665187af7663f303b65836c26372.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/562a4a359c83daef87f18ec371071d1964c7d52297859306eb9238ee0c35baca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56435d4ff1cf415a4e595cb857d984df558fb5511c0e73354eb2679d8281ec92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56483ff4f6c8170849437c8113ab8aef3c430891188dd6d1c35a9daa83629b1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5648c1513a709f4926c16c29d60f13a91c39bd3d660998dfda7b9416586336c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5648fd03db1836d906df29c806d023653ec44b9c8ac3c8686a32d2154c05a071.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/565f21298d093bd3d8f6b399752d2c7a5c6ecc58ea255dbd629210134e32b053.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5663a2cd0b74e23b2fac21c14eacc95dc28ca76a96ad0fbea0ec82173631f7ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/566664e88002e42b2da73e7382fa57b8e4ef188f207eae30c7228f21d444601d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5670600fd1247884970ac20934f07c32e376348d18f8abc32c8a2bab33688968.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/567a1348c08dadf287d90c5ae458d5fe37bcdf357267bc9c3a99db0e82eacf91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/567f6ac60f10997b291a72032b64e112c73355ce9cde4fa1ca765f676d8e4478.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56838d2129dcf35d9055dd681555e911977b3bc0ea7d4b8135165042d3444c0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5687f2536de15ffc9cbde0dd5398c6f5108c7254cbbfd3cbff82c85dc8bb45bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/568b1030672d49d7fa493f417b1a27f6f3b156f74dc7562549412d3699859a5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/569be665582d67c09b1c0301895ca18dc7999912a3db9735cc74d2145914a83e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56ae62760a47f2622a584b49ec57020b9d6c43ee002a4458d65f38421b85039d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56af2d5e9112634e5e14cc17578960e674a14cb76eecccbe41712dfe0c5e338c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56afcd0346a904b199b74cadf370657b7f1fd595df76566f1d565407be5a342c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56b2884b33634c41ff75e25fc078d2b909d78bf90d85c5b264057f75d7ac7845.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56be31d027ca358ac55c3c7a51fc0992bad855c9b809a353433a45be7af56241.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56cabeead04b4b98b3533d18d7f4093622fb6b7982830f30ec30b15d7d8249f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56d3c4b496ca1b2535b5f3389619a126ed6ba3093d7b9a24660da793dacc25b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56d6cb4a8f6ec5f0f31f3e380bee1cfec8836d5c782f17e8432d1f5415d2434f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56da5791ccaef3999f4d466893d9d136a9023ce716dac9237e9b029e609b2767.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56efb4c9cae1c9d237fa14602774f283535a1765e19ecd71614718a65da55bf5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56f710f60ac30281731664c1722f34561a6a2736ee903886425d935f52ffc484.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56fa85a269120cb426b90c3e96cca04bafabf00d0266c3721fdfab441c6a0b80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/56ffe93472ce7b72b921ffb1f55257a6e366a9c0faee73423a273ff91c9b5ea7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/570c336b0326d39d6656f7e2c46e531ac150cf67ff242b24c5f466434218b1b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/570cda3beabb45f8526c6c0daf9509e93ad292f0f339609b6a922943d9dd6081.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/570eec7ddc1dafbbd40977f6f1814e7f70b1a93661e6a7b45e9343d068658b3e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5718f792a246323359e9bc2b0ba7d4c5504897622f7c3669847588ad997fdee4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/572115edade1398bab71ec76744afc6bf0072f8ee8d8491d748149724e20b196.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57275fb93770e5dac5ded41dd26e239e783e1dc669d09833d0a2fd22cbc3d446.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57294fd7a776cb6101a362bd090a6a1d746c1d49824a7ab455a05152438c52a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57418523b5a07162df06099e2dadbb5daba9efb2e98c514d25a4fee7377e6ad5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5752153feb2f9be10436e3f77681094bfd5dbf86127c6fb49f57ed7f01858280.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/575c9acf50627a5a170625b59cd415ff839c4eed64eb6545c5ab0f6af4b1de57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/576b1b2d1f11046e3b6f7c15afa38036eb2aa007a1dd1bb91dd9b30dbdafc3cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/576f9eca38237d6a49c7021ff089bed85c5935b457eeaf5fee86ec2d59f1f66d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5778c0b2061b8efb6ba900460d94a5f394146acbb53dc3fbad19f63de2c57c54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5780b338ca961e0512fc7285865e6b923b5baff1b19e3bc73538595a09cb35c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5780d6a4baf5b0bb256c9273460a7e12f1b2ea118a1e5daca49a8b2360d5568a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5786143970115f3373ede513c72b9074e2809ee90a4c2d197f74f23d1e87232b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/578eeb0cbf0c764e8173c23c5d4dd601920adc84f553621b7c5f2984cd738bf6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/579c4496a1898763ec5b3099d6efb7c1b0e631806625b22a450ff74c5b467905.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57a29568f1c7e68d93937ea5f44b5af08fe4f0c8466999bfc7ec12f5bd03c79e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57ae9d416405085fdc602f35d6d8db691bfc6d142e9dded417b8b840dc0acb7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57b6dd673fcfba25cf1ebac08645d45aa3d874a43f4333334f48068fb9c0ad2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57b919b81c9ceb93dddbd004bb57b1ec6fd3c2914a1b98ec6ed15a4ca72cde7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57c0cba0dacbe42d74c29bd47337bfe17126efbe69d61dae6e43662d2af4934b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57c468a3b761fb1f946b8ee01b24fc5ca562271f73d9860d2c36ef49189f72e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57c6f7a79d2e21488a0b1afbbf792bec4ebd97e2e75b4f6283de2fd3e0f8a60b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57cc9eab1ff154afdbb2287693001ed722be5fcda0f538345bbd370fa8b211d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57cd762ff71c2c0526274aefd5aecd6168fa82bcf44c20b6cf3a27fbba68ff17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57db0b8385aba83bd7183f43245bb21bc016dd82994c9dcad6fb017895f4c132.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57ea9a539c6bd46c55976cc5ff863590c62c1ee87679934132dcfd35b2f52539.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57f1238e1dd2274fbc1e863568e547a492a30fa62da51bc9bf36b5f7c9f24a95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/57f71e965ecaebacf256e9be36f7dcc802a01b1ad11000e2a9cdb0d448e40e58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5801bba2ccb025d270aaae3ed430536694bbf55d2aa8d64147d9c760f27b1a5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/580a8dc1bf3851d6d7a278289600d63af42e965ce5cbc8fbfb86f0538ae3b4af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/580e1d7d9ef77b9ad7592f95715979fbc47f4c4ae691f41862f45513e7c90647.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5818567708cc841021d0c8777b8711b0ca9326c1c0ab0192e45426eb8fc15edf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/581d748b14cefc7388d46f386e87c5064c5680896f912aeec3a516cb5d70237c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/581fca224a32931262df1cc805c419e3a57bc4724e59677123d0d08873a6e684.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/582cddcc9fb15bc168af0d7d92e8b1210b86ab6f6d9947ed7f4dcfe847a38e4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/582f4d8d70ae28258870e460f86e456e76324d1dc86bbd22d0c559b0b7288c54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5834e65ac81f782ccefc58494fb7317b8fa50dc47eab4ae8a86409f231ee4a8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5836913c10da9a6980c4c64de38fd060340112f7d67f1c4d14fd319fbab14eca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/583cd8cfc80c5025fce3fb0c0cc99cceb62856a882839d3199384425d9e1e4ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5843cf708211fdfe7427b081a16186097bc770adef81e821cbe9c483e44ea3ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/584d3629c077902071cf379cfbbd05115a888a8302f94ae8831984f56960d920.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/584e50d05aeec6838668fa5ac4e2185682e7c999cba3c7734982da0d450d0829.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/584e73731686cf5c70be2cc01f75f8a6dd79b6308337a72060f5624f37020099.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58530f48debd99729dd40b0d379c3b9adc1dbb14e530add957b753c35d6591ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5853394e5314732200d03fa3f7c87a19f63095148350ba60b6e63b856a457b8f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5857bd80b01edd17db926758222463ce8bb77159831cbca24d1f2e59c8f330c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/586b26a7f5dee3a400e6d87ba07a9121fbccf24e4cb6edd715faa9cfd666f515.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/586f52a9e1dfefd95c5b43821f506731c2b5a202c7e8c3592f3412d90c6affb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5872007ed1d3008ff29866662b08041e21392d30b51231ea9416f9b1d6ea3a5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58733d71fc08eab2f80ccc966e2135336ae2406e7b1e8a84b785439b44402fc5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5876400ee1b9b396d9dd1caad3ffc0c4c37b4ee93de43b8cd4ee2b341a3ece8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/587d0ba496680f89c108e03303fea6e3c9010a8258e30cecf3307f2380767d76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5883f9a63c91cb59e08968f7e43f49d87e7f8bd1882481683e241d8c1b3227af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5898ad7a195870945852b537c5f6b2781784666e44d1db114aa8e1b8530a0257.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/589e2dbc395549d8e897c48408d1418594e13c30c6e0b6fa1f6d066366ff023c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/589e92ebcca7f4fea35e035166962267247ee8a5bf18ad6d65bcf483e9caba5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58a0bd448d10c0292582c707a7cb8e4aeb566ae2e8fd999553fb1237f68ec51a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58b0f1ff4dff83f4eb585e945eb168c3fdf5fc2780644960504bf6ae972688d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58b7f278f1a2186e8d66487c34033674b108b12682c47378878af721871a11fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58c9f99e0481abbe5baff09555fc066e9331951afb797b1630787165e4a3dcca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58cdd7e7e3da4d220e1e257c364744181384bfdcf8e750601d996505cbb249f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58cf08e8f90c4a8ce9c425b2ca8f83693ff273b939ff12a48eee9721772dae80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58d524bcf620bd79898878165169728ad030bf8ed035f79757f0f7b126002e6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58d53caf02362fc9eff0d8a4e337897695a7c26d830680b2049b82d46d135f63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58d6c7c145790a14c3618202fa200747d65028726757c8362ec8e218ecffe06f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58dc1d4b9f090cf8439e498133e6d9c6d0de322be1d2f68786a7c97900df0918.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58f068d6c144cb7dd93152c4f72be67f1cabcc0c0efb2fa045a8ed4af8fe7018.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58f3edb894ad04fb3ee8cbcbd687f9d04ed82e00d85bb5037cb1ee935118850b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58f882e07a350f5dbbcc5bdbeb8d61b4c29b56f8858f5b44fcd358c616091314.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58fa832d78804ec75c638db64d3aaa1d95c629e34d5622b3ac3810973bb6a1f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58fab5e8ede76c27da3c9eeb87949a239c45dd24dd09d881596e4f119d1c6bb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/58ffbf99e6f70b8960f476a95989d933c95dd1dca620702bc077c305de33bb3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59084f3d54d961c00c632bee22da2b3ea0ecd3970196233694b8e4a5087c0889.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/590ea8fca912d20270d3786fd81e00a8661018b3d9c9a62821b6d805bafe49f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59145d9e8d9650e135a5a84c53e7c4ed8aa07209ac883805677b0a9b4e2e4dd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5916433f1aa89df5b9846567016e733b1314baa0e5261f7c014e2d5b2ac6c82f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/591f7e9ab38d257731b192e3e8ae105fd2f4d58ee2917e241f9d4edf0bb1c8d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5925eced78337f4294e43f6ed1eb5d1f64a5de1bb3878db41f7661be8ad6928d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5928d167dd57ee7540ba42dda9d00b1c04aad2bf64e55da2d6c8a02b821d22ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5930adec05f3acafc065ccd373e7a0cc7580d90d43edebabe1e06e82bd1f77a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5944acbaab021f16af7c2d13bcf5e75d5dd620e93b073f4b6db62a37c07e7afe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/594d0399434a87d59e2fbf857b5a25404e23cd438085a9b437f68f40488e9a08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5955ac5eaa226f44db51af1c69308e8e277f826aa299f6ac14add213e2b03730.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/595f5d42391aa9d5a111eb10050e97a8ab662b44430a711d2f92560641ab3035.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5962a500eec605bea0ccfe1c2df98f079770003da784d40d7ac30c64205f1634.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5963b2bb77731abfa5bac7f171c0d199e6d64b297a64e39b2952f737b5e2db26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59684ba406919cf6b67598dd9abeba55eb4d250c742a7d00140e19dd4092616c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5975c8fda4867f7dbb217359eff5ee680dcf423affd33235e3a1c21f045a6555.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/597851cc164924b8c1f626e6a2329c843b9b8106b26ac4460e193f2f4c65fc1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/597a03a4020ca29eb198ce28f2241a3cc2e817ce3f599c589882cff9eb83536c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/597eed83958cf308ed41036e76019f3ae57cf693cc5c98ae2eeffc6175394642.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59825e7953f70a8bb06231775931f8b7c0b688f06ed8b32880609ec17b8fd583.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59893ca7d5461ca84e37dc4d79bea9c5f98ad1fb7db84a5c49c7c45bc5151d97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/598daf5e1f38d058efc915cbacaeba9d0d335e609665e77702a077bebe156d30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/598eca7c0c6897a394adb1ad63ec10feb08ddb8c577b3757f4bbae292a368d2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59942db68c9ccb8e6187d57640d27b1e35311aa44e8e99be61096a1fe8e18938.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/599de70e0bd14393c14b71875793a8a819f852387f0b20b788df35a38b45f616.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59b03539ab3bba9fa6b7982e013eb522bf1d445bdbb920e696412c0fb48e1f44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59b09460602eaba1f5e52ff1ff4e5e925110d4e08a38749ed18ac6f54cdf27b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59b60699921bd3022c3ba8becacf06ba8ef2f6810fd234c261ff18d6c49a2f6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59b783d54c114d2c096522ef3222f946e0c3c02300dab7ad6ec3c69ff46ebef4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59c6b875e1b09042218e2a1cd9c51fdb398cc5b06f11e4a246da177c21986b7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59c7f452f966cffbd15d1f17635b249d67dc6f50c367dd6ba2092a750f96826a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59df8028e35fadbefbee48860c9114dd1e8082d7b48e5b8765c0554679e00bae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59e06988fa8bc096beb52e29e8110e0e9610b23692b3e34cdfa0b8bb27b22256.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59e576271a4f7442b7b56cc235fbfc124a1b39ce072b891e1ba868e2ad816cc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59e735aaf3d58690c48861089d2c87ec911a5f7259ce66799fc5b733577ba9bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/59f9317a7b1b998c950eb77f4886e3876128854afb2a18ca6c844b1532b75a2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a014b7b4fbe062efff1b1c642f69f24bcb93b9987cb17643a5be98626cf015c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a03dacf5dfbd6fc45991f36479ea0eda8324398cdcce70eb31835606998d5c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a21731cb6d7635eb9d5341c3fd8625cdd3e4e81a894e2cdb544b7b78983714a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a3df95b4ad6278c2f823498213a6e83d0c68fd86cbdde4b24d421b324881688.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a3e1e4b18d67ccdc9375f78b8a50beec378cafb91ab7b461a3f2e48a5761d5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a461dafe900f27550230c442d9cf91de675aa374b488339450346870a4321bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a48d20e037066ab609627a877a3303a0a74f3ba38a8bb5e0e58b1765e469c1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a4aac2b719ab8cb40251b98e39b7af281a9966c23f3ac2a9e96080c8c9d1c96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a4eb53ebbcc662bb2736a294f0140ef136d41aca32b3ad2af35870ed6f2c39c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a563bb8d8463bf4b0150ca755a06d52c0e4ed0906b32baaad3ff0c6846fdf15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a692e89e6cb06faf0948faf180dcb94d39f52b66f785b0b8dbb41e2910a60d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a6c499c48886b48c2311693771c36cbf7fa37b1577dd4e68d6dced22ffa2d5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a78119014c25e01908add1a16f0a0fc8fc93e434d906e16adfc8bd3e6e3e051.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a788f5e4c073dcfd98692fbb030ca01819784c4cc37f1df62b6633e85183bc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a7d9003a90d3a730e7c3610c2d90ac052b1339d8c75be958d4139349486b54b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a82bc3d9a2ff45c3de442e81cdd8c2ccb253b86d2199cd33f780022e11fd9e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a896dfba3bd5ee3864f41f69ead40b84b1cb19a8f7129d430f5c7dfc4386647.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a8b3e50a370455839674dac912bdfe258757beccbdbe43f84477c14684cdcfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a9068203777480910491ca7e4f7dee45c154760cd0e583710b97c42e1ae84c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a9a3ab86a895667ba2467dff95d5952a88a961d996721b2ebf1c7ac0a2be3b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5a9e1c8a2d6f39ae9eda581e14b5917b27177093123b334cf778d187462b8ae1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5aa38aebd57289ecac6e2df7616e741b34300e639cffa4b0becc72070d9b2cc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5aa463d1d56909656cea15efba9c2684653154f71c3ab6b4dcfb2c4e4e7d34d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5aa97cc1cce8b73ebd555c31b2b27299539d3d7606a252ea0fb796a0114b73eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5aabe43584ebe9c635d1b827e7005ac28781a10d15e3952197d9b5bcfacb2f05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5aae4ca0d5451b198d179e7077bd910d06806b79b266ccdda7ba3086d07f34a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ab86e2b51b7000ef1f1b9b4f16e8eea408b15b6a9dc77fd53cd6f06008b2ac8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5abeb6a0f67c2e468bd14521dc03e9d01df48fd526513554d723fe23f76f0e0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5abf61de1aae56c57e1f282928664b5735b238df767e94007e4a2eebd3fb48fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ac06abd6acd5ebe340855120d963fbcf9e42553be2721743b4d320c3fc0a1a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ac72b47cd11967c7a6dfe92d20be8ef851eafbe678d068ef5a0e5c229d1cb84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ad3d237940cfd2aa8f63745b02bb18794dc7fc9cf45585e79394a2b85551e7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ae352f9a3af4682420cb992c19021f3bcc79455302e0e50b6bb411e7b4e24d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5aea3eb5e315cb3cf7613d7e9fad7fd75ac81751ef190a4251c0cdcf4ad1727d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5aeb196d1f20ea92d938408512353cb743ea835bd3261fa409eeb64a415a9f29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b095644525bda5c1687f2dad2e24f10a725ce94e428dc39e3daffff617d9a02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b0964d2a241a752e0b398081d036608d523d2c0f2d0a861ec342baca3bbf3dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b0ac46273236467c8183999d8ab83d651b41d6ce22648fc94c5538d35cbe012.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b1c1af1d4639555b04a8283e00c3575544b6b798f16684f4249d6bfcee06d41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b266939bcb94802badc46b0e6c5e3812868cddaa8cc119fdc0b3120d18fce5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b3d1d136f4972e10ac78880a3da8f6cdfc23fec54d1e25b35f32009f3a8e7b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b3d67862071baf930f835f9ec3cd2563b47e17660abe572120557b385caa8f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b3fcb0e1efa67e05fd78df12b8898be40e874bb7168031efea2e8bf0aefab5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b454f86c22c7dd740ec152c1dd6398430ccd797f6ce399e2acc3eae4586d806.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b5af199284e78ed0b2702c99322da5129e630f8a21098618a45e9b55aa78818.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b5afc2bbe62c53e1f3635b013ab59972069839c9665136e4484b25846b8ae2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b613c99141cbac05e452bd9c2c5aa63cedda9724e44e74d8662df1c1e5494f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b6e218ef86027b2464da69356ec0e161b55bb682050b77b441cc0fd9fa804d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b754bbeb939bb8493a4a8fbaaa753f49572f680daf6a7be9bba8a9f20de1467.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b7d49a487c5df9b23cb5615a53d8cdca13367417ca0c6ba8d3ea71f21ad9262.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b86b2fb1bf21581dd2da1586a8e926e4ffeb0e4938f096f9b2aa26eefcab255.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b90394c5d509715f369aade0095d4dd84ff8be8b2d6abf4d2fc61774d44f942.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b9b3ce05f24985143ff319696d49058bc0c23dadc2e8d09c7122756ddb72b30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5b9bfc85b7f41d53167c8fed87f1fb1fc52ccf7e900d61866b088db89e882cd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ba75456ab8e98f47f3a4003cc9e5aa1a0c5898874e2b80030e44b4bfe6e7ada.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5baee5b1a202861ee8da5b857261b73136be267dac60ef458a3a58b803210350.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bb104653d61ffe96e44ebc1472001857b68d12b1537d7cc50cbe3f7ea7d74e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bb5a2f89b6a47d181c712b86dd3d288774b35b7ffbb724417cc2db862769832.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bb93ab2775e0712515d62ef4f2b593e9b36461e0e72cc19f93514deffe7232f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bc38ef99423574b76dc15bea87a47d4f6a4f1a50ca9f136a82ff9586326c94e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bda013285f9b248c94e8351e106340942fc22780f465b306c6101a893502f21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bde090ddeae01b7e765e1f345ef48dfd4098ae10018b51655a6687291b6269f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5be2b8ef38871a42e6200b2a03abf9f67db2c8a05875bce079d1e011cc48336d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5be786a7e3ecae03216475b7e4d2faad5ad935c499d4070e74753f2e53be687a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bea78359553e85ba921c2a1161a287a56ed79ca399b8816486788660a4ffad2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5beb3164e6766de305934c01737e9fd1c770be052f2f032260b5b22c1d1439e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bebddccbb09ff95cf75a4751cc61c5b584908983e093e4bcaaeb1cf08278d47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bed4a9d92ffc516ca3845645644c34afabc05112aecac4f05c07c84afc15282.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5bf328ed009dc264cbf8844aeb7db27f362642ea128cd6edfbf4c9654bb55efa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c0078fa02daf0953a03c9b97589a95de75dbd33e0dc521baee15d800c1e5b0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c0402551257d86f33a85064783be9024c725efbe885bfce77a9e11f1a469b6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c1183a1371e6953df39193c536053998b2aa6225d58cd80ac897e9efc239afe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c22990b04f3a0ee31ba35b64e3696cfc0972ffb1718758ba0edc3a1363f463f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c2f4c9367c958258dcc4ce625789243500b3160f901ff2eaf95e3a1309c1a7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c3f486c1c87dedef3b45b4c5e8f5f0dd711ea1b19be7fa80184a8d12042c226.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c3fb2eb1b93d96a0ac2bf5e67c97a9e788b12f1dcc7989aec8902eef61efffe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c42cedbe61a91d68a4ee71190e9cb490dd5772843f61e8a949b78f0a1fed273.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c46b078ad1f4ce41aeca553e80ce2ea33b49c3210e7a9b2021d80d067caa964.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c48110bbf6576e37ce2b6aa296abf61e43253f7baf820e17f42db653c1d2318.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c4a3a0dacb9c91424992e5087529990dd1054dfe624ed79011c4ee98e88d997.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c56c7dfc0c920d4dc384e89dcea90e8bbc32e36525ab414bcd1bfc07638e3e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c5afa526dec05e2fbd0b226a226ad2906253536a76f3bc084b6aa69d5b8bda7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c5eac395263c8d3623d23433bdb9899f44aa155e492cc9e0dfe7c89948b9a4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c72d03ca27d5fafe3f4e19c7e0d83bf82682ae3ac193d8059544400471bba2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c7eea694d4aa00630f66af1a0e0f4f29b48e996aed522f6d16a066e26c5d742.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c868270707af94b8ee6f6bf91b6ea89d9ec39830bc88e2b88b696b24580ab69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c8918bd957f4fa5f33bb969e2dcc941915dde21efc20261551862c28691a10d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c94e00892dd89bfd5a5f9a44427fc908600362d7a63a485e1925ccd88a7dbd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5c9b737461e17b2220ada950f18ba036595fa23969dfd3ac23ca4718c9ff450e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ca3207bb48a248a7c219fd2d50eeaa3defb5df185af4614431b512716578616.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ca925ba18285bfecba8e36ec8642ef949bf618e99bcb3dcd85f390bbd879d00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cb3c163798618c3d1c629118b3f4f08b36c75b2bb6b76ca446801e5c7641936.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cb70071dba0a50fe5801ed29bba252cd5eef6699d03c3b22186e3c0bf1f1c60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cbaa5a967acee4542a12b199052ca112aec5b97a351a90bd7dabc62a7dd61cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cd0bdb9cc4a1bb6fd00d2649a2d3634fceae54e98b7ba8fceec943fe74fd694.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cd2b38cf9e1e4206265b03098feea34f2deecb6a826a28a42cb431a87efc177.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cd5b39504100d7f3e14b3a1c391becc5ce73fc5780a8efef446218f429acda4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cd617e88a58fc562f98866c3a4c0fdc904d6682d91b8d93d643a9321e121a75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ce35ca51fb54090c86e9e8aebec3b0f5e1354909d4f013589bb5b123741c456.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ce99fcc3720f46167c153df58fbcc5f23e210c9433153be5925c72180cc33c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ced2d05bd61a96c00f62a4819de26b8dab5db68918572b332c516b7019f6d4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cf06127ea6745c5496c2f570b9c123940945969cde2e2389dd847b4cefac483.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cf239d5b255dbf6b87ca773397db23ebf4dc5ba8d8c8bcf7127280b4c538c00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cf77901a44721d5bf966731fcfb4fdd3bfe63b1f600fa98ce0075abdb3650e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5cfaac3f2f8a32622a6afb7b1aa31bf26f06235bffd1a9f0acbc56132d74c994.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d05ec79445f5587d835fcea451c58709389f515768feb42e43150f351c68e83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d0ac3a68b8837187b893200f16498a554efb8624c3ffd29b322762cf89c8f4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d191aeac7c101690b7c1c3f986c3202ad5da0483af14e67fc82cbd5b3c64eb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d1dcec7ab34e6b2e946d46e2f117ccdbd7c46486fe09609e1491e709f015242.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d3f38f380f483bbfc2c0cb46b87c739fcc6a4f28eaa1225b0e5ccfb68a3ab31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d4bd453366fc6625991bf724625f7dd810b8d308b4a0ce90ba54043b0b89ec4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d52ba04626cc9c246a0405f7728a604b2cb80b36239206a73a15f63630fab9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d5a5ccfbd5ac86e8307b3116adc16bb9483354a4fceed52baf7b647a281323a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d5ceec423ad573f27baf6b408e4515dd10d2f5b4c72f29004dc127163fabc31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d61f438d0a9fe300f553e3e2bbadb2712e5d569a1d6bf4cb3629fbe6b4a5d96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d668b4419c1da4fbcfa70a20793327200c8c398b55c64ae7373e3458c678207.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d692481dc91aaeae9db1c33902e330fcfa939f8478cb40f1e603464385adbd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d70d84c78403d6541e2637810c6fddebe93d3d609e1fab907e7e08b916a8969.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d7348d0556141fe49fa903e4387926364c49a78687e3ef71bbf22e20c4657e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d73f008e10bad445bb401aa65b00e3f4c9fe8dfb17e9367ca260d221bb161a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d779dc7f0389d24f98f5ddd526e1bd24b25b15fe37799c34c8744c469a9f5d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d79ea6706bc9cc8491079dfb78cdc893917c5a53e6915f50c889f51ce143587.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d7d5ae41c067032584f462f090f58ab7336975869ef68e6d01c70c3d460dbad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d82fe1971c44df750aed771d855200428ce46a01645742ccb409e3396f200b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d92eab2a37ca83c054465d5a6d34835e53714485ae146a93aeed54131504b17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d9ad2626ca1aa833adbb3c158032ce1d0aefb08db17ac41568061c1d3d2e686.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5d9db7b2920544579b9fd241d0d324e039e9ac5b4dec3b13dd54e7a3c53053f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5da0f12b4665d50126fe5d264fd741f048d95d24ed19934932e27bbedafc67c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5da71a814a709efb262c164f4de074a4e8c59832e0b6899d768dbb0f11386c5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5daaa19c2f676ca973b588a812daa992230a08c631e59d542e3947d86f16220a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5daf2058d9669c7aa2c4e6c49c456831ee16e46317895d75bd8c1391653a8d82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5db8029ae31b36c2317c768fdd99eeffe90d3f3009582c22fb2e2051d67f5e1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5db8230920691e73d041d2371435f2ab5bdac91f069f97081a1f595d4f89b8a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5dc30a9d1e9190c3ca60a11a297b068782e6fc2c36e1caa877514c669288ab05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5dca4f03997e20cf7ac1ac90a246f4cde74b0006b0ee24b51ff80859f689806a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5dcc124aed74df3b05622c04d5c40df5485d45760ba7451983c6297aeef5d0e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5dccdc4b46771c5ed6786e05d99dd320b73d9a23e10dbd3df7a9bd42e5a14209.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5dd92f18fa88c1c590a45fb0f38d038c763a90c4026b40dddca965f6fd32c666.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ddafe9b4005e6431c7610d940370bf9af8e5f3a1fd9082b05c663c24df50c9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5dddc152495bf34cbdee7731db51f07334a0b9964babddc1ce4c57a37681bf78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5de1166750c03b52617c796dbf9ab0c797a2b8bde4a8542c7fcb3a9d8a59c4e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5df31c3ae97c9fc168fbb03830daa6fb8c1b73c38016eeb0f72d4cc036163100.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5df777ce5ffcba6d5d3fd7dd0f081b9e4690fdb7ef075245719970785f4f5505.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e040d06ea4d1c3e50aa53f50dbc7aa20b6f608244d00aee6bc1200b11ff00f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e08731b8499684bd65c4c7b193d86fa6fc3f57b52d9908ae44d91f3e9f42c09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e0d9d98735b887810edcdc09a3cf13aa3dc75e3954f378d9a0f9c80b8bc463e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e12597f90ffc3ded93b5852b2803c56b8b2f2eadd168c6cddfb7de78d03f9d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e15f07c674881d01f849e90a5a2da88325477dc51bc34b0c0a621f4734fa0a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e2b082e3701afcc2fe329997e380e3481ec5d2810c1030a234120133a4b100f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e33ae7cbe5b20b64785e68663d5295f432d336374f9d4f43ba9caeebfe26c20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e37f58fec444b4aebd3824852d9c8a6d243a51a9c4f8b0373e7be4e55b92036.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e3c42c6dbc55f48a9312a1a935c66d4b9b8edd8ebbb8f968e4f3aafb7e7a483.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e3dd8c77057f02737c144ef18ae461fabce444576daaa1ad65fba8593c7ac52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e4579db8391db5c7a62d300353129964a5e452a4969a49c06f754b44090f5e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e4cf14f5ca6fa1fcb438bdebb6d00d274bc8eaab41a1257b3f452667b4c9a05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e69162c0eec586a0aabd9de98bfe63c04968acda4df1896ba2cd78f16429442.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e6c74299407e4a7d7e756a8daa11420e746f97e4fd8c13395a27d941be65692.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e72831d28d6adfad01e6b981b123dff31a095f1e27f9a03243d488cd5ca7662.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e732248589cb2a2d6c399de6f9680aab565e15b12fdbcb067340911c9bc5e36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e8176af5f57be243d9d3c389eb6159dcaa44cc0b8e4c584937f097b5829f6a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e81820d96a46890596ee651bbfe0ba191c91da7b9bdb9f9403cae0ac244b24b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e9117e794a35ac157c0f37e8bcbccff61f43119de12088ce579890d3234e6e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5e96dd1dd199031c26710cc4522ab1c840a3fef52cc66bce2383fda48021daac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ea28a958c225323292adca3bb138cbfd2b5dad8bf79ef31321356206d9d048d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5eba0aa74ad875590eda8b095d3e412d76f7fa6bb632107d7d3f84035d795e74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ec3c999a38e43fde0cd09f85da40b7f6e4b6143bd46ea3ed8d5ffbf6875b20d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5eca1f768d61ada195081f8bb9f131f39519e1d71707fd2a3f9e436ff18d1dbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5eca6ac0dbcc260ff18a7991040b6f960334ab20ae4c9ed0b30e2349222a8124.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ed019820379bb9c036809024bf45332a0ad1c2f30f358b8ca9980eaa1dcd813.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ed8060c49f8e522483394ebc051247b7fad57e35f37bd007471e4f2c335996a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ede7988c3ec74b0dd75ffcfe08998c252ad4d5fd660c1a96cbd37b9e6840904.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ee4d84b160769c72c93b947dbc29360f5b40ff12653da4a6a0bbd71e425a9b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ee57af65df267bdf0f2bce11804b791a6fc66f9458a814d753c319e4d52e445.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ee5840002b79a8fff2292eb4d955581ec934e73fe214ff75eecef5eadf60ca3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ee84d9a6ee01713f5baddd79583ae893cc1fe6fd53a10388e8065c43198c9ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5eef735bba66655d7e62ff0f487b239c2cddcbaff4fc5306c1d15e4f2ad63fd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ef1bc7348eca3af14fa3efef57b0431702f824cf71bd30154d2b6bd07b6b213.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ef4f96457f0e537c76ac3de987807d372b0d7e8022c489abc735a275e2e96dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ef64b5d98f3a66dad2e9f979bb119b95378d5061d21f70312877e2ceda56fae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ef693eba27ae2af4b919c2693d4526050fafe103b36aaf785541aa64f69fc13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5efd4ac8adc0e09a16d40307299809b2af56f1006d6b00f9bd0e8b431877270f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5efde0c01823889b488469ab1c250d76d8fe706b9e43a034662843a4854f8250.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f02d1d7850b5d3b00eb837482fe5d4268719bdf1fb8465ea6b0421a78e8a982.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f0a58b7d6f2803352139f97292bab7f6af2405a086cfab01b8281db0a5758e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f1b05bf080e6a60bc548e64fb59186b7ece2799847abd01c0ef71e1aa4892ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f22dae2d2ead701ae553ae99e8f8063bf02bcd078f86ce9582442dff4a44da3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f22e985d42d1501f285c41d1bc2b7744769c8a19b7e5cdb378c502f61763adf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f3c6c321ed405f71c5cc437de667a2d4f5e69e8f35884a8a5670a55f52e134f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f3d43ef4ab1a4d25c389294cedc4624f059d4aa40a4b73b8dda4803c1a9f28c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f423b51d9da8e476a6206cfcb27073daf323931aae060c2a0a31f885f5268d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f4583436c6a7320d2cb85c569e8eaddc4b3459a7f3dcccb2e9f727d6b99a29d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f4990cdc0043af4f8c276be07959d0044761ed2aaf5a289b1f7d43dd7e81f6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f49fcf86843f76b1dcd064e1d70c333b7175f368ecebb38492e01f14573bd72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f6ba326f7d51a765a64af2935bacbd31cf6e23ee91b5143207f874534a7aba5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f7783281c9b487ed358439842caee8d7cb63d24c8e9d8006bd133bfe8a78c85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f7df32f2a694f05fc7064aefdbd97107bb5f10819f3aefb13cf0e4e20fda43b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f8927a89ebe8a6feb098b56592b883db23d389ec4d8d9fc2bcd015d347807d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f8a55df79ae653845daf0cd5eaefc6c600978a1f9b1a87c5558dc7e5bc931e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5f9ea55c96b318329efe647240385d60b4ef1b5fa86aae51aa7206154c15749c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fa1a134a77e1dd83c9ab36677ca0532e55f114bfab66363993cd69e6d2f6f9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fa491a4ab6d8aa0f95ea4b940f28bf8dbbe22511f8ab715780a1f327b67b436.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fb3029adce294872918f3a83394abb959c84ed84842ce1c61fa3e790eae9260.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fc0fa3c82afb87c85637f59b7097eb133fc1f91faa24359d8eec26080ed4028.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fc2ad57f0a11629021e182edcdffe44e1b461055d61e0ab4ba341a957d2b8c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fc4fd4701ea19e51064a98d3aa9d4ba7ffe1c079616295ffc6907df94674ff3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fdf1fddfe25adbe7c56cbc6a80e2abeb954bf7a4fc93df5d8330c2ada7e127c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fec74b1cb9a5cd6745a3bf03d1f3ff919219e90225eab129ed0b72534351351.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ff3a53ecb69890d620388405b17e1692989ce1d61e39ddfb8180fcb829f4d6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5ff74017a5c790559a8d2dc8ff5d1da535ab320f5bd9f952c356e56ad9940a20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/5fff329c26e92247e71262b5202ad025bffeaf43d3e6f40f4a733c0d86e1ddf5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/600f6ebf940a975d6e2e61141111460151cb7307dde8efb8ba036227c1f77211.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/601c703a4e17052f35c1598592c05a572ce783e90487a19255633994da280201.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/601f551280ec988b74875abe10646b0f6c2a38b3e2af10e20db33a1a2e860cd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/602798be232f59b01e7e4a8a44d45dfffac9f1cf4b0c988f752daa44f29b1648.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/602a9c55ff6f5b804779f18d59bb095512a7817e3b39413c6c679dd959731fe8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/603762e1b5b899aebc56c62384d30d3219e31de8f7833823f65b9cb6df774def.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/603d1f4b1cef5781eb33ee2e2102f95319d3f75507637a645a7ca84817788be7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/603f391a0037df174051feba8ac3b82247f88352714c480e1ff36093d5e9a163.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/603f775e5216e2a29115375ca6bdeb9580a8d2cdfcb1551c3b0ac85ca6db95c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6042c32f4bc72e1ba86f0ba1d3120dad889a2d3026d41d7349ec86606113cc8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6042dbf42ad62290053c63fee9ae09a9583eb98bf296bf9ef50cf00e9d7caf0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6046636b676da4e73f55bab649bea8d48bf384b764d5773810405d176f437a9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/604b675be384c0035045c69ed259e67ff3bd1fd64aa8c9a8cb659f9d5b72af5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60520fa2f5e42fcb5fdc280038a581cdf8d80bf365388e0250a289c4c0ffac77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60635bd3239a00e2ffcef5d792a94571d3dc8f49afe50c6d56e9b380f47866c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/606d28978543f8563b9acda9a399d5d5b6bc27136265c0263401f07c3a499079.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/606f20efc74538ac2f58736db33f3fda9de94e9fbfc7201abd6cbe57969dc366.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/607e55deb107b0ed7ca5c7c2108708b2299963b542604108dc36cd54df443b70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6081aec14538b29a8e26106961443530e725378eb912ecdd103536e43a8d1019.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6089faa3e93d061cb8a12d346877479373c7de2dc6eb1f32beea5ceb21a67bfd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6093951fda447d3bc8dd9d49287547df812b9213697469e17a71a1e1e54e4784.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/609534b4e6cc8eeb94d54865c0b2e362ad3cda0995bbcab75bc0318f011fdbbc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/609eecdd4ef032df4e5f7423feac60db2dc5759510bdba2412f752e67c9fb3a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/609ff126c7eadc20b718df6ab5fd1916beb561265b706ec6371bb24b3b4ac993.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60a4b1385c200ff9806d8a214ee359baf8f628cdd338e130b12be0a382067c05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60b7fcff13cd1a08428da45fa0222b6b143ff71d5b50cec311f620af0e8da633.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60bdf2216bf3f539f1b58106705fe47c94ffb99274c5378cc29bcf10cce670ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60c2ba9a525e0c81835f1fc6bc1886470703d1b1951b4f2c308fb140849b1acf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60c8bfc0bbd6c53c63635c6cbef9330c427c6adfa0c7ba74145d1a04f0fc10a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60cd1adcb570995daa0e01ef6faf579ff432358eaecadd31cea0f2d9bab44209.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60cd8e95cb2ff4371f6b1e951e687fcf71301f0fe557eae936c90156975889df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60d9a8b3d4344a22169835ae15c58a75c9b702b3f026ea8e69e1b655b9736cd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60e0e14dbfcf4a9dd2a8b016a977a22e0e208372acc631d930cee7de7ed6d7b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60e1051fd69a9039b7ca702f1df2d4143185341d2d67b02d1c4c72ee6f89a876.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60e39501bd0c0709632ed90ab1f8206973783867d20355cd3bc495afd8ad5748.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60ea9010909a777dc199b5c1ce4a9a9ec748e2fe1c8fa0e5d74717fdc1e01a6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60edcd21e9f27ecb8401f3822cefdd4cc3e76eb1a3b435f118d7128b9de8bf52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60f694ca7b02cdaf24762a269c8adaa214870bf0dcfdeb724422106fa8ff124f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/60fab431710a0e2ad7c61dc5ab908ebed2c6b043c4543733d7bd0ee4cbc369ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61098e34c463a1b3755622c5439850b7ee532d42113c7c517fd6f651bac0dffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6110718c0e8eba9c9c1ac139873d27742706013e0cf59b7bd3e14206101d431e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6112c0218cb53ffb9b6567e502d5d203b205235ab5d4a387f056d95aaa725f9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6119603c39413f2e922f386d0bfdd59042acac8430397f6b5215f7f3f5926cee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61220ca02807fbf0f7aff09a0570fffd36316843ee489563accf169015ade645.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61230ee5253c8bb0ca29b436477cc76febd0e6edb7d67e00cb9fbfbc8a444f5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61290dd51d82d7bfc763af1ede9f95fc6c096f7cdd35dff8158e652ca3ce4b1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/612ee211bd44a640e3759fda8e8a1bd855248f5efee79f7e3652a875be717bc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/612f23bcc492f23272d786a7f975245fb907a70bd4265367616bea125c7ef92a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6133319311e1f29d6c431d4cf5724c563192426e45759093c1749b603cf25711.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/613790df605dd26907f18c572ad1e82c4d797f3abb133a2921fd2defaeb91b4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6139eea9209ad25c930858a6e5087cb956dd21eff6bffea6c245786301a7fc6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/613fae91431ca26bb56216688dcd51d173ea953d3454b252a44d584b2ff46519.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6141bb198b426532c54a1998df6d09f102ab1efa71f8ae1ccbb6d4cb6a5f7af2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6142f4c4edaf9910f91a09f003ff787d642085fb6114f158fdf6cf04cd6c18ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/614ece51733669eb0cda89ffb7429f6e73be8833fb20d3f675ef8d67a7a3d560.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/615f8539cc44843b85cceba5981479306f03e59126564437c08a63b86baccb45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61619efdc0f1c9c22068be50f9b8c5df1652758b54c95b240cffefaebb0147c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6165825e782f4b0ddb999a60219e98904fb00b78ace938e4f3d99182e893e8f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/617ba93faa05d58273350834c3b067fbf3112073e6ca75aeb33beb73047d297e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/618195c2eede51b579031fa0b2a34bad4b92146ea004ddee7feb1bc2cbb6d754.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61853463354f76dd6c6ead56b74b4a10ab5bc853a8ccf0c2fd5c5d81d6d354fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/618a4f16099de40fb7ce2447fb22e49250374bdda13a7ebf3170d85c589808a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/618d8bbffb6339216759709cace01610adb2a2bec3455077170fe80cbd157eb4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/619252895ba4657a0c9e910e8767e2c67a45f9961d72a746fbd4ae1aca891b82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61952bf391306bf5105cea7eaed7e8f2850bc71d2d77ffd52ea9aaa9c9b08002.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/619a229fa8a8e241fed8f444c0536b77a99c8e20f77a3b3408f7737220f567b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/619fdd33176c93c4d14ea6804409573d90a5ffb9eaf8ac1d248c7e7ad13f1d89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61a14a9dc29ebf4fa8df232d42a94e141647e81e65555dbc77be0d2f18c8c4aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61a4cd762790cbf6de33cda2b47664a605964e15edb31c52ed340c27b54aa248.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61af26bf1e48dc6831b1b8d59a184944fa5708422774e1c1c33c457bbc2e6059.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61b413d39c7b0c41a86cd98ac728e34dc94deb5f250dd53028f50002cfa73eea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61d30ab272b8feec4f9d6c3bbd329878279f2016a5b8a5332f17241b90335018.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61d6bac856969bdcc4bf6ff381a8d937d0bf534fc6af2183dcd5cacc3535b021.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61da6d472b992cde2fd9b8242c4aa9ff658f51e8b19fff7017a76adbd9ee64ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61dd8f6443862700cc5e6737eeb7e991df6853947082585d572599e3e2e49d13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61e126ce752326e2aa4055e4f6531726ab6af14d1dc791de768b2095d7cd75f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61e1eb8481e367924e9acb50535c8245237c5d0eb2382bc82173d3005074b6a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/61ee6a39cc85ada3ae3ae6d84d7e240ec5dade3e7b2a0a04850b0f47658b7316.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/620513aa2a827fca13826e69da65ec066c544e9cfada3a6b447fc05160b93574.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/620d2b6fc919c5659ec8626d45cf186ed26a5327b23a22465c1689a491cb84cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/620f82a02d52ab00bbb3ca35b47b92e43f54fc34e71d880b418015801fa0e9bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6214ef16dc74f60266a3520d0e96fb4df4e77aead9d3df433e9c7a4e63c85142.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/621a6d08595de83fd9f4655cfe780128ed6bfb70f6b71d656b72c72071dc3acf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/621a70862d72d0a87f39d1fa4eda891e8ee4625014986e1a9f606b314b65694f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/621e17f0ee0b96c7a6511d88d7762ee69abfeb9f12e4625256a3c50ba2c7401e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/622d09a96c0078830fa84e6faaa0de3bc1784c9e3020065a50b85788333e33c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62305867bc1a2945a281cada7d268278bdafd49f65bdfb567d2a457ef968eaaa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/623658e941ce204da08e7ca32b346263fce64045756859b758c4445f93a40b72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6243672cdcca77707eeb987e544af4d4ae1f76d938199268bc83e39524b3d8f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6244c3385e06ffb79fc8ed4bde85692c8b5382104a83123688550e7d1dbd39fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/624b897f54e3f7368757e37e4719eba00793c128272e21ffb2fff3269f18890f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/624dd63f01a34438c7bb81b95440f5502184be94ce5121d2c8d111711c6c75bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6253cbed28076200a0290b1cd80122a7a95267888a5a7084692fc37663a2b6a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/626052b2d911f0b9506470e465f77a8150543c12aa31b5651825640c885cebab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6267323db04df8fab7f41231e4b0b3657d8a1b30799fde14b92317ca12b5ef11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/626e6a9dd4dcad3a03b455c6edac0a4381b1b016410ae5b3936602b607ec9ded.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/627a979e81d06209580c4d1853ef09621fb3a0afd488f414e6268d7712174d0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62816e901a1a3f77bf0f6e03b3e6ab08aa6a823740c6a6f20ecb49f6b32ddd13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6285906402f8d2e0683d45fb39ea30a42284ffca06792e3ff6197be968194c6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/628643d00d3679e5e22082d0dc8fb16ad938b4e5860b49168cab72f8d7273a26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62888129b6fef01242ea378da1f62cb2060e6489678b4b5816c5158335258b56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62a3a01cf722622cb51ee25e1b0bbe4fb8b172edfcd4fb3c06fd0c29cb9d836a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62abe3f2948cdda676c9689cfdd8a7c22e4eb636d7acddb825ee7fead5a95ae7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62b2ee5a3f02c6b185911218f4b5a7ce345c28d9625d105e8c018729e474f96c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62bef03ec8694e5e2b92bacf7d35a907f1b6eedb453df28ee5212a0f34fe16ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62c0a5eca970466f551075efcb5500d28c62bb1ea7a7ffe7b34cf350fe1af4b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62d570029122034b2115969df50c4867f07962199b4f5b58724a34171707cd8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62d588af25a52222a3ba1be8ce596dda315dacbf49b93d1cc1d672d975625f28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62dfef98bc9b9cd28b80f213245ddc42fa1187cba410c724086295c2d0325509.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62e4a7f42efe58ba09f081982dac83df7d1f719357ba2c801afa9627d6aa1854.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62eb8eece8df3d1df2c020d10acc2aa991937a081261fd4f39cc5fa528f1d363.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62f048f201cdf73b4f19c3e4bb6e924be463d681e5ab7cc01f66a371ec6bca13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/62fc73d2d645d5471205cdf2071ac48e805ea6aa373fc26855c116193e017bfc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6301a82d2c73dd41e4ff55b8cad449398dbfe6cb7872e2bcc2770b06a057061a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6302ab2f1bf8798f348ee60a6f1bcbfb4a7b44c72a4eedf532507a26677bb4c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6309a2e032b1245eeaf101a7dd0da71efdfd20c6b663c7e229dca0a690a3597e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/630af351f710fa805cb2b415fc2f47252bc84058150ed188a54067350976654b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/630f68741052a9836db2af29d0b27b4f3d111c5547554b370b769c38203674e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6314b74e2a9715476fa1b238e798372cb78ed0870e4ea0b85b4ddf919d01bc74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/631f95ba75b4cbe9903fbbd5185a81bab9e1236c08152783e9e5a45756e64694.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63296f5bfeb7518c6b9c05ce7307dec52a2e964886f9413649294aa599e93fa9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/632f3d50fb998da6ee3fdd70e61f0ed5ff790f96ceeb4987abe523bb4e70018a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63448493b556b4c6b0946ebb7fb8a33476a3e441c1513565651bfd185d885e8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6350199734fa9f8621b0a399f621a6dd1a820ef3eb8d45264da3e705d5fbd807.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63525e3d8a3e64e48ad5ec92ce2541338ad7f8b6576bbb18dd697f2f68086397.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63575fb31efc95537bdcb79bba02b1cc2ffe6ff4655cdccfca3ea3f836ac7318.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/636392e9b75321a9646d90122caddad75201822ec43aa77d9fa668f9f3b7d3c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63642f94b1cd51af0bb6c0c7e2c336c2c2cd99b854354d9ee04afbe1a3e85389.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6364d4f47b316a68a93b2ef7cc4074ab520d541975085eea0ffb37e17d6a4129.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/636e4b09ff567502bbe73187e751c9be9ddf459b4f46a100e177777adb943ce1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/637004338c3296f4a1676c1499a1608911283cd49741368e9fb4c3fd2f7edeb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/637e122df460fd57a6d8047e6616f1ded6e960679555e678e15d6689ba13ac1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/637f3bf56fff4adde5cb0a5dd4d98e4d40057265f6da8ff37afcd3d214d22de8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/638ae5812f1dbd0dc5e0879c7bb57337e3fbd652c507fd0fa64142e2f30c86cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/638e89e0e1257cb0b32f4b5520d51a1ed1c803954dd91c750b68bcf4f02d480a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6399d72e0409dafb866ea8333ddb4ffb9780f652526ebedece6d305af80ba001.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63a7806fe82532b65683e538760e2e41ad466e5c71fd16e9dcf5bcb753016fc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63b8d41b51203bd6e51a1d4f78e2eb9339a8c3ea511c30829b95004bda72d1b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63c167be031e355a6d8f80a53868d365157dd41855ac30b879a803c64d379d5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63c42e9e213921c18b4d647b5b077638d0ce32c920235a56bab48f5dffa79e8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63d1431e741639457073b32e511545ae07695b0888cd09df33ad21972f8ec1ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63d183a06a7fb7d7996bc710afe38803b6ea3579328b7f02980733b647240556.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63d6c355179b2420df52a34a26ff780ce07bd18bf1979279f9f2f7ae725c8e30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/63e9cdac54d11c22866baddcab25b80f064ea0e62ecb57ee7c032410063589ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/640b26aa8142c435fa0bb112e88e66dc3e340f2f867b030ce06abf81048b4b9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6416a3749cf2d414d4219e44215ede9fbc4616096de644be2c7cc439eacee2f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/641bbd832d11ab8e9b5be16c48b50cf6e880db993cfbb994212c5de7bf7e343d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/641bc2268067d6af2eb22641405b39e7bde26ce8e22e83c9e6dc240b4b29a979.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/641c9289920af966b18b447a90862a65eaee8dadf996afb21a4aafe8f89cccc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64284d900ded93656ed994af8b51c317384db72c769483a71af8b887ad0c63ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/642bfca0310944f31d9da4017f0edaa131670483009248a983036487aedf9570.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/642cc616a2bfdd5d28da1eb0856273defb61f58640e581b9908c7df199040b40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6430090752b941b6351586a1428466bffc5f1aff22f313b34fb7cc73e865447f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6430c7bf3bb36fe7f0d58cf9d59e038e74c009c82153358f177bd0d4be6be070.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/643239306fdfb9f3ef596befc178d19a87add6159b69fbf9bb32133b9f90a558.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/643284db5b2b80b9f9e3db1ee162ed39bdb9c6c77872e05a75a5872c81b2211e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/643badcb5787d8fb8d8e0a2e5e6fe884a9f78616004b9d91136b76ca8a1157a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64417e9ab6b35354a963c30abbb207f834dd29e24dcf44ac106ed41dd94e1ff6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/644a010c0d4fd1850c5e570d897c890fffdc6a727c1c58c55299299e4db3dc67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/644a22ec69652f0557ef480b41114b89efdaae3caae28845e11d93cbf58f64d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/644ca3ca6f68d80471e350505a312b21cbb8952dcda7ca13dba844a498f6748e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/645570680f1205bb927e4a77c58a985806c00db35980762a8a1019de00f5c862.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/645d83fb661438a0eb4636693fb1cb15386018e964cb575e6375a4925484dbeb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/646528c0a8b2e7067515d60ce6c1b7033dc81237bc5d917f8e8690164f8bb133.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/646e10523562c5a7df3c7f64cceae99677784cc381b7313b524d6976d54cab92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/647230a379bfc1c13ec2d80521f2ef9e2c6394f47b3d695109a3a6e5f338ad66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64818953fd3ac1bcf60f898ff6615c3a48dac2a651bc3b1502a1c40b282793e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64820c6e8e545d6f9c211db51a80dd3a9d21b8f5841ef7ecb625d720a334ebef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64844043599978b8ba0d1116491be0cb9afe262aa920cff2ef993e81aa1b31fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6485818c6dd3cc7f6e89a4eb6c005b01fc740d90e435d64b346e3b266e72c079.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6487cc80ae87c7a8559383aca6ffbdd1b6e121c3abd69dcaf3a962013ff60be3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/648f70cab4bd195738da2f3b461465486d3155b35975acbd5ff25a28c91f0f90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6493de8200df270970a754175aed38894b7e70c57f139819186b31adfb426317.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/649969481842d813f9ec4e5b463ca75967b719a59856284ea7a030878322761c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/649dccbbd0a8a4c65c1c6cc7f1b09de134a6f591d1cc68eb735de31c87446e07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64a3dbb7960a42bddfafc8d7e9ad5a55c7cc2f53bbb843ad2d61f6622b46b0e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64a65bf03290d1ecb56f184238ee860b0bee5f70c832e5a7857dd03bf37b713c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64a7303b42522fd2010be05dbfa6ec32d4c05f46db94402c1ba5ffa05800aea5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64a92b8791a04b797a5244926fd0a5f908b823b62c2a2ba3dec9ce0d5bf72de3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64ae692752b8c3b87417ab7bced42c0208c1ff89054c1905767ac35ff45350ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64b4a432677330bf94d0d8562baa882b0af81748f147d94c939d795bc55e9839.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64ba9f63f619fff837d8cf40311aceca4594d5703b6b0809edf506ad9bd59339.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64bed771959b65b8efa08eb249b7e685be6f7cada9f90d50c10c1bb1365bbb6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64bf9e03f57670ffa1c28c85a8327a604d68b43d6df2e72490a893aeab81f36a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64ce5ff517abcf3281f1d03f81d85a958a1290924ddfc68369df8fd94860baf8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64da6a9af382549193a19f5db7d3419e28af5be520ebce0bae87657166907784.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64dea03ffecd1d54ae15949890d4d867f18935197644d41a42a16f45fc08a1c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64e337b49fb26db89afa899bcd60c098ff176c6a13c325e3ed016a082f3e7e14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64e4fe9e3bbdd1f032ae5d068cf4bdbcbe863db23508e529265a484fe3019e70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64e65d353a28ba66708993c76f8944d7d57422455e9dc4f9fe05b610d81dcbe1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64f51f1e9dc6474ef4f446b96c0a93d744f8d38a0a2392d702e4dc25dbf6ca13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64fcd6deafc3829d075b49cd2753a794ff2c14d9e860d3bb08c72b65ad6f24a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64fdf6ceb4c6cc6688fef85cdfff3894553e270b2ca60bd7ba149c2da1ef5baf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/64ff70de55c2459db7ff96a5b1a84624187e12daed680c23290c3607816589d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65007fdbe2c84450dd270adf0c34f52250fef96dbc603a20d9e30c3c58432a88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6504fe02fc586b35522740ea80cd65a0e77b43e3e667dea8d16143d4e9ec7f22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/651145f6c30640646f90e19a82dfd1a30839b2881426e58749045738ad15f819.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6516fbb324a65d254c60e39ac9c8bad038ee51fe8ae418c345e76fb631722aca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/651fcf85a4e4a7bf6739a128771a66c68927109c979bdd450e45b1cc3fea9843.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/652bbdc3a24a52f4df72cb1ce8eb44cd7cac8c4a42b45da0ead2b3d473691d35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/652ff6a4d298dfa7671eb72ddc697accef7c01de045873d84cb02dcb2d90e8e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65306939d9290b095a7207bd5c001a095d3e87c476ddfa2300ad596401eeb80f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65320518beb486db3964641a8aedd3c863fc95b8a44260b41f041d97bc28ae88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6535ab7cdaf2594e813c6378e1f84d31c11017bf6bad8824483a82bd49cebe53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/653614080514aec38436cb9b8a85ea5766204220bcb2107689e106347fdec44c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6539396d8d1b922cef4b58ef8a23c6953429469874b50ebde1ec8ca7522c5324.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/653ba00fa3a12136d9db03da48713520a00333471c736bf4a8fae5bbbf4a98a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/653c8e8e936c2cc5fbefdc18a968ff74c8c1ccc190239fe710d9e8b2e465165c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/653c994ed79b9bd7683424f4b0a39b9dcd8cde099d5a0ea71dc43b0fdd6c7e67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6547c09e9debef8854b7ea25df410c68db991514567d0a7c52018499eed89319.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6557c2a93187c2f1cfb93a1bd28fe16528c14c5ba402e7876b0185a34b6849d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65602683cf4063bf5617715a5e42e057bc6e668c34501d4172de105c237c1016.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6563ceabcedebf594904b20fba5cf89eafe98e9bbe9261779f736770c782d598.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/656b9d23ca86b4e7d40e160ede0841f669de2531883d723aaae2c40b2f1695c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65715a8b8cf95d6880094fd9a8cbe28e82f50e7975c4cbb2b024cf77d5090726.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/657c2e26b3cb7d7e2a7e2fd257351ed591ed622c2d998fd446b26686d93553df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/658b4b0d453417b28c5dff4754c7a4fc5ba3711799b5bf350765b163966bfb35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/658c3b878d4afffe6bc6575ee68a161e2e4f42ced0febf26daee3487ae2f38b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/658e8e4b560dc60570c3922330440596e088fe9846d9462433403f1d8911f158.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6597969acd9a628bfaf4a0a66f90de537f033b1b7dcd56c0032e7829afc2ab6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65a0455527533d18b8197ff320fb793dcd9a001c955e91b5c37d32f6170d8c9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65a4776a3c59443876c1c0de133616ebd30e1e4437285b56ae8f53bb6a2449fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65aab30a4a845c129e0cdedb14e3c076a842352095490c074d4596efaea61d8f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65afcbd332c49b465b197f1bc917309fd86362248f535c3464637c6fbf67a268.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65b4c34db46a788485c325a8192a701113daac456453103fda9ec23b4ae2261e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65c362588fc4e2d42c2d8139b76afc7daceee93815897724f76c6576a6dca469.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65c9027fb4833e3c8158372298ef8d1d02b485a5c36543d43a6d3a6624b8c241.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65ed178d2bbe4b8cf9b2df329e5edfa968804c266ea1ba6f436b2646c0a64984.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/65f69ceb2592d44e331962c1eda53369318c71753caa95b63415d36a873d58db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6600b690cf44f6a7b56cc982df576579a475637d100601d00d4b243eb2c72979.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66071b5965a6b53367f77bd325e473c6a1cc67dd21c782a40747f2042b0e46e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6629370ed5882f355de4b97256820bee7eb3f796fc4234bd66d350f38db2032e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66306996b82c53b5de6f9d28ab3fe8603674e29d742f221dec98ab0622bbf190.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/663bfc0896c10b9b5cd80318e5c623ff08a72022d8e730991d2e6ed4e4fb2371.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/664294650a4de9019501a9d24f5e7b66078bbb641822786164c672836177f8a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6656b32394f5290daba3bbcccbf9446ced653ebee646c5495901a39ce46fd736.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66580805069523ba80f87ef1561e01b6c3463dc4cb307386e21393da03b3fdb7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/665e00c016b6b7a8f266a70c595615cb4a09da1055dbfe2a29e6228ad376707f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66610a738636accbe534561d38dd5ee3790cea630dac21032c36aea085616880.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6661da49b01f78372c671f82326d8a69b05961aa187b5e033532040a39cb19f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66665b4ade1c31fc8051cf6456c7784c496434f63a4055f2846a8a394046f36d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6668ab9cf6204180d7e0edca62b100b911cedb4525f41ac695c9b03e44c18689.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/666c4ba88cc11fa76323526233b3a3724bf8bd85040dd78be99be60322d1a5be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/667be22ecba17d93bdb7b812606a6173c32024167c587f6d2e3535f8b6b55b2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66867c4d803d94ece37b58b13f7e50225a501c8728933015060af8eb9d5a552b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/668702da68a598cec93968a6043f512606c85fbd7ab138249d67a13fea370b25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/668d155ae62ec81ed89741272755fdd0a2cab7d6ef398649d2f1fc7535416e61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/668fb8ce4ea03068b1b6550c2587f6ccca51bc8a442e0344d5cdf09da5fddadf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/669361c0a37f3f7bf880da42a395606729c3fa672edb95581f5ad0f99dd70b27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66a632442082643ff3ba92d79a2f783e2cab86681da62e8fd5d10fa400a08d67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66b26e91e8558995db85654dbd594b4c5f12c19ece783e610e5dd9a6d5119083.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66bc039782adfaaf800587e42aabdbdfb306d0c6a5890f93f345107476590937.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66be3db60e4107403aa965aa7750183727a878b3efc47cb4a883ce9e3458a9db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66c7685a2fd0cead9387721390d36a53d5130537ae52560ed96cabec293ac1d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66cb6d63c741bafc185e134aafa91c008287419272407499167acbf5c302181c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66cce8705ffd34abcc676d7dc03b133e2f2a1913a8c5fb6ecf1ffa8bab4cc3ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66d174877a36f6d040e1f8783b155b37c75b77ef72f4749ca99eb7dc3503b2c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66d6d4cc05040ff2c6ddc2805a00160a8fa624ef17dfdceeaafb9b992890df1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66d8681cdbd2791da4c64a9bab7051d1049bfc24af6f512e2839838931e09956.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66e45e48629e7cd8487fc798156195217162594b3c92cf2e6119b12304383d02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66e57980b6ef1282285ec74cacbe1fd08f30422055670ce2f3841a6400d56b00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66e65d4ad008b3d29c3ac509d7899df5aeff4298438d6f29f399e929b0efbc6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66e9fca3ce73c45941e20647c7ce0c5400907f03a18d68a8118f1deb904d4ee2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66f782c5c4e73f9c5d1f15f6d5085bdf455aa5336a3ab97c12c2b18bdabb89e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66f824104e7d98d3bb77449d276a68c372c76ba904b9eb4d28b98fe954330053.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/66fca64ea1ce205544bc6e76d54aef779258b7bb5f2d9ec7f1413cc08180f9ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6702ab55d4627c865430374e4ced39071bee114cbe74aa37715f6d051b684acb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/672201386dec1e517a6ddf8724bade1a9b41bf0b42044d76569f1751ded5722a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6732d2e69867e3034c77461d8eb73bc388f9e7cb992ad9c1baace08ffbe73c84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67582a37066a966bf4e298b8511f12f12d0702e85af9b70e46eb30a514073a91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67749162b21b879e7e68edab1956b3b1a2d51cdd979c3b748f32f1c69c201516.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67852fdff95e2a15d785548f324e857ca4d9312735444668223e668b010d71a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6786f0da37ee28c4bdc3e1abf031a13a523012b6f5c53e6c30b12ed68bd7f233.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6795e48d64c33e08dcafcfae64eb19bb650fbd54252985e01def4bf22d04468e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67a214643ec97180413368769a614bb5e51373783fe854d5b6496e34c5f59279.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67a81a97a9deddb48c9dd192509b85c827bccf4dbae8ccf21456613fab6977b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67ab9371def4223c5910f3a12c296b7dd6b2def08ee96c9595b2c177705d106d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67b3df7d1110cf244fe2446be101e701ea3db9e685a858d8a76dae899b914b9a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67b413ec4c3b18862b44a11198d77f3caa867cb7ab03cd0bc3a9835e6cbd3f0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67b42d1ca868ae9a9b1eae1239706184f747c4a618625fa822a3aeea35b39048.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67c2ce83b8cad34a68152f42db3eed20262ba53fa00a9ab1f891be4663911e44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67c302b4e0925f3f1a7c0e4e8bf8ad08e212ea094156513bee5b2a7051e959de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67c3be5fb3fde07cdcdb0617da750e14f33a56fb3ea4d2b82cf7ab9a2f004a92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67c3d76a3ac4cf75b2595dc80cbc5c4a60dd6ec32008a20553bb34fbd5fae6dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67c8d5f6c94c92d96c5bd87e96af358644f17609ca9b2abd60f8938476684026.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67ceff9f22577b0e02781cc213a89af6af360e418301acba671dea044d987f71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67d7961fe321911b3c64871c97a2da95dd84cdb7dcae4a4079fdb3506526d5bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67dc45543a1bdad39dd7465cfcdc558ddeeed9211e9e1757622edb7bb3d705fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67df94b3373548003313e61ac6eaa49f767cdafc57e2caf3a093134c25bcbe7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67e1e611bf6d867a37c11695b39bb570b50f17d69aad2da6305063382dac9b67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67eaec4bb8788f68fe817c3d068e8569ffaf2b01e3f5ddc026e744c7d01e14cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67efc9a096e1ee99850589f95bbd30da725c554d82b5107bf12cf72039b4b135.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67f7d7d42986db3930a739ed18c36f74fd9d4d2eee4863b2a1d197fcd662ea29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/67fc11f2e8e41cc70684b09466dec10b0c539b2f730552bb4c3866faa472f71c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68035482fcd0f817ca459b9c84c5e284ce6d93a0fd99fe1aa637d6dcecb9f8e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/680af508dc753ea11752d5ee9590c240339e7275b894dfa83d1795c2e8ed6380.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/680cebb8014c4b3b663dea963b6082561f362ec8784aa53fff31c56f9d8c2492.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/680d1b62386fc1d25ccc6491ba733459fd8b040e8ecf7a44e99126ec04b75e4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/680d7aa8352783e91c4aa9a511c23cdc79d474c50fe37f7e39df9407d0878a45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/681c7395f90e3674db8cde0b8bf6edac8e43c42165a2cdf9b51cd907dc7e62eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68244034a2b3ed98fb55a94d7e8499190340f588d7e1a5a0820cace5f13c6a3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6827ca8db17310f1841f4432b677d42c96e18c8474fcc268ecca141caca8d1f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/682ca6d7e126cb25b9a30e3b6744e3114e1a6a7c2e380b8a8b3373e597a11f53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/682d989fab752ba3cf5002ca00ee255662fa4df430df238b0bea1714b0c45035.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6831d873f8dc3040c80322840ea0139d680137a7929df751000494a2ff1faf32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/683ab332a952a80b1d919fe9fa89e67355e6fd4c426312325c7c4c943655963d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6843908c2d3035a8c658e20e876e4ff6b7cf2362c3e55a33d3eadbc064782818.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6846c749e1e04e715f1f3b44ac2677ed6b1f333911784cd2a8b637d4df90a4f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/684dd13ba622bb660e0ce514725517f08ab6d917bf5c42e7e4dc91cabb99aefb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/685d59a7be9fe301f49260770eed9ffcbbc2a48e5921208d05dbea510f79a00e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/685e7c93a6d5ae37a5ca77c3f20ea7fc77cd30d6944c8fc0f1492de37e11d939.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/686646c53e54a11cf7defbb9a73b542aa11398cc705f1d8eced085b7edf843fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/686dec4e0c50d60ccbabb55d23a750fcc196eb9de79302cd6a2e096ac528fd95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6870261c41baffc42bc8e257f2d832790e0d14ad6969fa79a9b045572e44c836.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/687b935643fc9b7d8c222d0c410b9fdc9476e8e4d096709800737b558ef8b36c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/687c0eda0fb2a38729168194db3340b3c3a842d39f21668faa3a3f03a8e20c9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/687ec6764ca4474004ab66e92ae1c3b81dd310e8780c0600875cbcac0891c775.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/687f33729ca4bed272e2112719ef06fc75c87c42b57876a3dea43615190d85c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6880eb4910ed2f33fcdf8a8fcc04dfa85417deadaf282785fa6e5e396649ecc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68829c356dc02379f97240528b1358f3561ca7d82127b96271b40059f468594f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/688c488c5b3c1cd91a72bc135824ffcdb6e27aba5645d8f126586319379b17c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/688c89896db22c589ebaf3542fb5850fc68f93d1c40d5e21254315f655930a13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6893889952b81ba9f48610d2d0df04add3464c63cd6caa5ce53f374871aa3610.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68a031c77249f59a8bb0e42b1b4b19b9576c37bd30e1aa690e6120cbb8e06475.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68ab1e37fb086277d9c05f3885caa553b1d7712c53d0f64d93487243460a2c8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68b703815f4e50a8319d6a841ab0ec88f0deb00650705f63b1d79dec73af6f06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68b8a6f76b804815b1c2b556a58e452d5ae35f107d10f7362374e2f9687e5902.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68be48a348e9d10cc1cbddcf00579d6728d08fdf49d51782ef83bff2c2fb290d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68bfee3a2667df716410177231146752fb9c3c4eae63bbb930e0ba7bc6d154cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68c333eb2622f12efa34dc1a1581bbbb189b3e1d16115036a43b83179df44259.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68d9e73b7b65e3be1e25512967d33696d337f15d1a9ef894cdfe7d2a59dfe33f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68de270e915f65aff024d3604340d27e8b3514eb5ed3cddd627418d84da733e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68e364efbe12898abb771f81b6f5c03948de5953de13246ac56139945328467f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68e57e1d169dc6c8e2404a90cbe76a7a5988359d159b033eaa6f5141b23cc0a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68e5fb12e0658a67170c41e6c96b015f6bd8fbfbbeb1d1b01aedc92c28bb00ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68e80c5d1cefe1eb2309261f51d3eb35a090952bde1371c78d4ed430e1813e68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68e98ac210399ed536548dff65169afbee1ebd883786a7376e75e48db0008420.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68ee113d5589c0178d78465923397da4696fbb5e90ca2f25e85bfb8b86b1f508.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68fb834a2eed2a0fc1b39aa869bf743e1bf171aa917a8def455259ec0bf4ec07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68fd448c64f5391843ec0e0f29cf7488796fdb5142e4ea19335693e168142b54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/68fe2ccd5d64689aa7850f1599e6308e0207a076e29351f540157bf93fe6e591.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/690201bea4ebf5087ea4f8c454ecabf155500b6530288e259c7bfbaf8773cedf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69040283e932c6dc8741526e5511b27d43839f5789bf7273f3eb9c02393d5dfa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6905abe9d985a880a559461617f95f892480a729678d042a423fbcd3e2de1ce8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6909cb4dc9ce2fe6571636c967960dc103443dbf80ddf8fce4bd4de7c3e517bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/690b28b53a611bbfae0792655bc9ad7d3330193bf328239a12fc10e72df2b22e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/691ce42292a12a17be7144975934bf73cfe03622e83a3153c14a4d31ebe517dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/691eb6f36102f1b5de9bb7186a1781bc2aa172c9f9c5b8cc53efb877c84c6fd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6920ef3b9a447db142351e9a34cf78e0ace9b340a4f159590db201eb989a00b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6925210c0c67e3c28c4f08f7b129b31efeeb8fa8eda90d2d2e0045c7f763a032.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6933f85c667af06c086b8f6df6c5001afe8e80873cf535cb90b8ac7af1e960ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69345e8f200c66035893cdbbde1dda1a9989a57a8b537f5909b42e36b9b854ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69353e121f2925cab25498ca56369e1725b509148f87ae820faa4d77d7640083.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69398735227d0d2918a6e48d6653b608f8574b9387d7de94a4f8f6c4ca628cdb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/693eb1532cafe9624d3c20edf0921a905091e6cc06cb6b99b26646da2de93254.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/693f1775d30efb6f23da4abe6a001bb2ab16636684fca02a2f80f7fe5aa017f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6943bc71328a473124ca6331c92789e73808666db70de3d8aca485c7d252293a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/694c42666e4ca27b345d1fb7712aab087354cb8658c661c24a93bc747e9b1d3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/696c4ea0a4f0faabd8fd5daee59aab617ee563bbd6a1fa5c24b7c81e6ed01119.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/696c641f883e275b1ee167906868b7466a8012b44ed885167b45413ebc1e4a27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/696d1d1ba00fbfb82c32955aff02670c4f2b00c2411228dade01886b16583d91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/696fd6fff2a01cb3ef25fd51eec2573315a050dbdf1c84667cddb595e3e01731.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69717eaccc0072540c11fa8810d6337a5df1154a41cd4f53a504e305a39204a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/697308cb82d45e59c37ca1de0b015e4d07240549bbb11509209d77804828c1db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/697687fc5e804df2b88ab87f70bc9b6f73674111a1a2e7abe5d6d68fcc3dc56c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/698423c6da98d4f4e9b3df89c56ae9e5871367295147a5214a46c64fe5e0d083.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69895eac09d99d1851c0f0d156f86c6226e27add50783cc8f57e8b9d35dfd7a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/698b3747f915c36fe0cf4779f044b27f86b8b456d7266edc3ddcab76602310fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6996ce0e0681e63c23675daebdd0945c1f5db367eb86f419020a5ab5df9f0e8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6997d9d6feeb71cd1d3c2fca227268d2be2f92c7741a9ae2258aa7ded0387c50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/699cbb2f4d9514bd9ebacf7889caae48d3ecc6d58146d4f9024556428de24a32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/699d009cc7b2334da80688d4d753ae779dde10c714abd620f4478b7a8215c76c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69a21eefbe3e690ff8a283243735f3ac806a34ed9d05f4e2b9a4303a964df4b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69a80eac7c30524ecf496cba8fb96d493995736fb66bf0e2e21115cef5e0b798.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69b22ffdaf34df1185afe4993bc86e7250060b6a625b46d49594ececff0500c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69b7b157f8253fdeb753ed69228fb7b51162c7a051cdecb1f5b023a97b205bd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69bb665e8471d99fab813d32a15f7742d41bb53411dfddc5578e107aef25c59e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69c193907ddfcdcdf97db2fdad448e8b8c0dccd6832ab859bf4878bed3a14af1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69cbc9e0468b0405593877525d5ea33474ccb6e49f3ddc08e9ce043cd3677b21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69e68e1bd0466ba29c45056e3487ec5fb6b31ba0b57a4279aff0e2646eb36566.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69efb0c655757627fadcec270559205b4277d3ff514ba1d4023866c5fc0a3a71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/69fb9adafe64a5d2575c76e6c3efbf59af1b31d45c190fe5e5e6435b82d05b5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a0b0756463549ce3163a183ed09eb8110b8aaf880382bad97c091bf67f260fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a0f62e17f0d061cca2b5002265d99c97f337ddec2643211ee3b717802b5219b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a0fa7ad9357456e45aa832b580549747bff2dc210952034ff76423781bdeac3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a1010b8f53cdd6e5f9ea86f1fca937b0f6ed766b1d88c8dfd275ac53e498dae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a1219413422a3bca8916fc91101adea6c647a65dc689d98d570e452ada63900.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a2e3fc42672b5dcae77bb5e3222badf3a705f2d853bdcd22bf2303395ae89be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a388c136414e1475b0eda791500ababad9f4445fe62fe9635723615742f8905.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a3919a9812fe140518568bc03719a1ed4e2b0fbccc15681c3a38acaf56ce8ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a402b9c0c26aa1997d7c293970e72a79f3b312195261d16796d191765aba7ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a4c78a4ec2a6835b6cbd8df42e9b3a890ef1c82ad89abf6d684242265f3f4e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a4d69f9e053f774298c190dd3fe4d0858bf2445cefa30a7624c992401ad7707.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a52928b08ce16ce9a48fb94f7c7ffc2bd8e7e1495cbfea3c7994ab2793fdaa3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a52daf8b97172b2f2c9cb2dae7ee828d079a19f5b0a7e12994c8609dfa62a22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a59b38e018a81d4546fd1be671d63dea02b1f08277c04a78311b9d3de9b8eee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a5a90aaf62ca7d16c1260e62c1e624a3db72134941446c77114f90059095db5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a5d132e49b92f1e266cbe27fac7ebeb09b4da2f1320a0c868cd7682e5cab2e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a5dc60a110c9196e619b74f36c5b8bc875aa50edfee821994807207ed7516ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a604c217a51920653313c789d2061131b8aabbad13eaa6ff424afa7a1f5bb09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a67241192b6be8337f43e003a96ccf9f03c43a39d2d567ccb82dcd10a9dac4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a6cf019635fa0527c264976fe2bb0c0860b54c6b5ec8edfdd50d5c9cdc5e15e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a76bfb43574b174290bd11e2153d91981dfb63a6c946ec58d05afd25f4798d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a79673e2e3c04648d1fccc4c8fa664425f474d78a9cedbf089c289f78da1594.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a7e202ad8364b8bc88cdf10ef57586497a5b0141c9c6a241d5b6917d7978a31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a83d1d13008648b766e9056a109650feb703d94f2546a616d88e26cb2e6795b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a8b3e372b3802073e29bfbc458fc71718969d2f2b59f35e3d975c2a2a5bbc7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a9a9c03ce4cc6768f5b44cf0802be9fdef373e558bfdeb2b428e037b58fdac9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6a9b8f6fc002af51efcc4d6ab1259f888eda9249ce49d740723ee5e2be88637f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6aa3625f656983274d042b9cf8a0abb7591fcf0b1b4ff711336174b8920fac6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6aa7cf08b713ee5f626fb84407808ba6841701a26dbc37086de32728db2f3b31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6aaaaee7ec62c872e52118a4b48b0d2363d061580fcb145ffafcd3269385e9b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6aba54006d90b342ba315d0f2c75b680e988c8c8137d79a0320919f39713749b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6abde32ba54f6820502d7e7d499e13e88491d6ca92d33abc7555c1dba4de448c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6aca9da72d09a29433868b4132368d00978c980b78a005f0961c1ad2c204434b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ad451bb9ebf3fad4268335ef0e87c39a23e57b772fffabce254709fe2425fea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ad816a3cdc1c8ad42aadfce8de54084491e5fa02020696efbccf7e72e10e94d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6adcd4fae110e06f498e7b8631d53600ede7220784f7108762db960be2f9b48d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6add4d19e3573e997e73ef3f7e5f6978bbe153d906a520084e95f7aa915730c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ae41a9adc71fb6b232ed92d6648b6f8a27e6a0dd5e59ce8d377784643c9fb66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ae422d4e6eafc2fa8dfe8bc54337dfe36690777782aa12ecef2f403cbe9e678.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6aea2cf0db73470e43e6a7244a9480455a01a193335b60e2d1ce52ca7cd58b17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6af1b6f1feb53d0ca5d44dc7a4a6dfae6b1606818708369c37a219d28b561b61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6af7d313788a09047ee1e46f3365f25de495904b22c2576c32c2def4d2c02dff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b1203517e561f43fee0dcc11a119a53c5ee239978cb34596ad83eabca703023.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b1c22536fb5636a87bd7e4650cef2efdd8c49fd3126da6243e95d351f4ab969.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b1eefccd6b8ca2e9c0b85545433a625be6484eaf7373fc194985e5627e12f77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b227d4b7355af74691e5d7310c525f9d4c2611086b1b3d3e87968027d1b8f62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b22c660e54eb3d4d4a85f900ab723f6c70c44c0576b42a825a994812223593f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b235ccad675d2e717b5be20ff02cd74a19917af1a751ec64ce7152a604b17ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b251890018127c3331be873c2d60f7998de734528bebd753f34a16bf71ec8a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b28df13bc6507b6f9862434d5da58ac42e62fa2b4108f0318ea6c52e50110f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b2b28a644f9d79a6687f24281670f8413dab2ac10803b04b48238d4e1931c07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b2be3329cea938c76235e8266bdb64c463be51c0d8d2c2bd46dda93bfe2004b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b2eabcc64f0012ed1e8c91151e5d9bde09efcb02d00a86c02e1eee60e1e1c93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b355ab30e7b45845cb9f5e993165dd9499384cbba6549028a7ca7646dc51d7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b36d8ad84ffff234a51ebcc2694c505914668e7d0bd963f174d66c31fa972a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b39bab5efc793f541a0661d002272c5a2b40979344b6c6e75c36c0d8c9352f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b3d8b1419cb4865335acc77200ec631d0331d82f3f885fcc60a105bc027c691.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b4d9920cacfcffbbad7152a0b536091838dfe723e384e8f1c4deb2da77f4481.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b4e9400f0c94f4d9ab7fdfb3a258677fb766b42d8d8bd87ea041923fe3dade0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b59cd334232cde47847471167470b6d5520b8f202accb5fbb61ebaed70a9b37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b5aed0ad360a3430145b9a926d16a0da807b60f656625f527320d671027342f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b610a185f85f39f31733c895f03c4798472bfe994003803b65f6c5dd72a742c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b65a0881624b965ce357ce633b9288f891863fe1f0f5a2ec8068ef00098e9d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b69d9f6e879cffba4d80e7c960f1146875eaf58c59ca1a87f84f9be5b40de8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b71fec93b21c1d13b1553425a36d007dca5df996cc1beb26a49d6c63b224f5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b7400b581f7788aff09e265244cc5320695e0aa30cdb3377d74ead08d723033.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b77212e793f8d8ab499e6d38b0195acf5f1025fe57c9ecb245150a121115932.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b77bee503ca1e4e2fd6266edf6983ca8ee85d897bc7eb67aa5c609e957a1022.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b7dbde174ac2d50026e39efe8f577d2add7d3a22c70438fccc56280b029e676.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b8b3b567054d185a078d311a143d91c64aadc47681526398de9057131c16b90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b917bd4375558b19e0e8b515816302e09815834427c0eab032f054433b2902b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b924aa66915526632d14efd77c8e66c176f57086a7d686d8f9c331f122a311c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6b945c37316614bf123504b869b37335046aaa7b5d8458a802820f9558554406.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ba34404435044925a0efab758f5932a2ed297a4dbdf5fd91f6a21ad68f4b4ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ba6a9973b8981e9dd8940a408d5ac02188176cd78eb5ea7ef0183db47527ea3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6bad1597c27c42924a5bf2984e9594e7f434ba545dfc1b5a521eb1832098e920.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6bb19948aaae270bb678d25101a45e1e9c21fd0dbcd14ac53b85fd66cb872fd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6bc1142fc775488f5ef5a1cefb406de0b8d4e1d28530e33d37713c4447aee761.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6be1b9de575638daff6d76329d7df431d60f90d24a3715fe8c5ccb4cb838fbf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6be5cf339fa5945d22d1c211262dd52c94449c69e3f82df1aafb6d43fcda7411.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6be86cf61ef5f0257ca60e2272955891b07adc37ee36b6a5f00d9f801d9f5413.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6becd24f6e04a3615d2c70c47003ba3549d978b4726207673f2964cd4821221e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6bf81b4aaf863e233f65602d04f1d5f4d28a53e8197f0b57da2cc29442920282.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c01e6a9effba0f032a87e9b964158585ee19cebf4f1e9884145acdfd754fe11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c0a0595567e7c4c826692b493db1b15878fb84513d6249021b549db31842299.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c12bca67a645d5d81bf45f985f24e0f6bebc7ed0f35099d55748067ecc2ef05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c39da6a0336779402343629b54912d1afc37f973cfca41bfff0094cbc7e1356.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c3d55e8cb5ae0ba421c4688f3ae556e4291898b57d2fdede6a7dd198440c5d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c40d7212cbe7ed2945be26d85e75187c54e0a85c822995abaf2c4f7ca1c8343.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c4b7fc1148022dfdedf374fc0431225e1f2455ded0c475cf762c55ffd2103dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c5594e5b680f911650d6dcc16b0480b515eeff2d3f8563ab188ef7cf6213aca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c5692f478964e2b63034c5827aca9b5902fb71500a2433e375b59ec26ea9b74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c5f14d8ac35290bc6b21bbd7ba6126d632c2c97ccfacd7d0ec8b891833cc835.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c5f4d4b74c4b0b9c7bebeb0af2b5f2635ab17daf574671201fb203087f5778b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c5f92554e3f97d8bf9ac37b682fd1173f70871197c8f55afbc1338e1fd97dec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c60125c0c79d0dabed711c08aa30b13966e70ba3a9c02e2c490c7f0d4751961.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c674194c7203619ad1fed28a2317a104b6a1b961d58af5b4d742ce4acda46f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c6e01f2ae5251fae339f763f789fac827e6d0e86d1bd6d181b60f00c2b98194.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c77bd485620266ad73d0141aee76f9553845335141195df5e314b6cd8fd1051.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c876da0caf49488a0eb3db587729265011e794ad382c722f6941da68d0513e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c8a4afa53bde371ea520e48b74a0dfb797b32ffc6da768f4f65aa5b217d9d8f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c8be5981b0a2af824dac0723fea89f7195a85b178c1946102a4b2500029f593.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c8c3dc30eeee00e53423eec444f93437e3d625ed5a7553961467a8af6ca8a84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c8f6c928fdb44be9fd3dbbbad42bc3cc164583796226c0641ad37208c0c82d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c97e927c402fef63ddf487c7a3ccae0ad6d1e827bec9b569475c4b68c3c5dc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c9859ba6645352071100bae047f24aa98eb0a893354b7ca23f5715ca1c57ef4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6c9c060395d808f332428f8339bad9468dd04bc4993480ce037b6c1cc8b8e898.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ca99181e8f84f3ed225240057209688ccd9304dec969f85f258f3ee0b47201a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6cb22fa3b01f32b029b70d368f6c2105a181d16eb426b968b7d9f6525eb429d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6cb6b32789d83f415e6c4d6f7fafb4b3f03ed8ae76bb5a0748780425962d4a82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6cca44ed93481685449c8947f4d620b0e726ef52ab36201066a5c238138fcece.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6cd75677a0e7d86de6aad9ee8b8d15ca7700791ff5ec69b7244c58b0b0ab9824.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6cdd3e40be61336d8232aa169780c335c182005d22c36e40023d2199e3c96fa8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ce4934ee73a8d1dff7852bf0bf8b0c39e06e63dfe79b4c749d3977f5693cb87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6cf9b1f91936772de9ff269344bf045b270ac836f55b1b87dd8b2234b5512e53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d007b9567c2a506044570a1569d3dfd12b0af65a63e1718a1052b79c860a275.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d0beb4ebc28d5b2248b084c00157d7c6e4a55712c230d808ebdba88bdecc4b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d103b4f6ef2fd34161e9f60edfa8285d5554a9716f9698cd3af4613b881a0ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d157bbb03b72f567d87ff80fab9d552ffb466aaa91e4cfe5c9b8d1ca4dccfee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d191aabeaeaeab5ec8df10027e29774ecf7009c2443aaf0a66a305042888668.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d1af624ec77288a23f19a1d45575ce096e1231425de1f446cb484e57841910a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d1fa876860d05825648994d70e41776ea0c67bb628c9c06a84bab6be182f473.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d211514e71cdff537f72ea222082185dbf3adb13ac0029889cbbd5a814cb3ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d2546ad97fdf33981e935f5c73fd94aed15ea091e99b9de21e157e68bdec38d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d2b32c7e175559667a28f2c58014297df7b41b44d7a4accec02996e2f3e5d22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d2fe4dcf0b1a11798386f9f4890a1c1dc34a681e2c1d836d488ac083a6ea14f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d318425e3bfca5367031d771ced92177e8e324079aed7aee82a01329685593a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d3b3f7540f03827ee35b75d7f985d8b11814a896357d7cd8d7d89d4383e7942.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d3bfbe1a233eade0e4df34532ab84ec2934368a13495901a32c7252b7d12e40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d3fdb13bad445b911687f80e6189ba716961b3ba0fec66c4749647409ee5b53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d4984af39f68d8b483e166cd4db5f17cdcfa63eb4f199d21d306ab2f5140531.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d4afc2d3c19595ce697a11a83286e153a94420556bbc28c374143c8e9ff6563.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d4ceeb63f86e3c5b316330dc6690b36550d0e77273f5d1ec6b9c351e3f5caa3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d4e745bb7aedbbcae8781f62bf006bacf7cc0a0398c43c30082a43019f4650b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d52b7f7be2fbd9bdeeea3a343615db1fb33911086e65a647a181974d173e7d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d54bf39102af51fbc209cbba197bfc0e6fcb4cc2c984b431fe1774bbc6b4a46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d59334f12ebdc3d038749ab136477edb748736128aa85ca1dccb5041504afb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d63e674907339d1a23ad72f7c5db4fa16847217f82ff220f6024d40c5762483.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d6e52aef8806f7525f57db094cd734e83e32c89a543e6cde66fefe6be85dbe7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d6ed2e57f70bebf89662d2bb6957595c0bb52653d2ef4bd895fa1a6291f7d2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d6f3488454e1713e47d1ee78c9999b61477aef116bdb8950bd1662e2e593167.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d795faa3543704453b1ba1a67c7c587eba276deae26214873233c3dac376e43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d7c09a3cb5c631a782278e8223ffc0204c8a549f955052069dc0ea32afbeee8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d812140a6d04cd94ec8a7de6ea9dbefe2bea53d2f7cdc508783e0178a092d3e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d82b2aea697a4284ebe888379c63dc1d3df7c4a92109ed45de1a7032558e149.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d8799ddb02bfb57fbb16160bde6ca5c03935ba36614a58f40d34deb5f38b48d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d883bf0af4f3771a86f42327f7e828a66ee4872392eaa85a1350940d15c0fb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d8efe9953a397f18d2e1779a31004e712543ae462b1708828fcb2d2a0b0962f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d930b68b11f72f1812ec38ac0a1cee397b9d13dc568ade977af49be21ca6aa9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d9b968cc6c80625f40534c36a2dffdd95ff879c0f0249e8adf527179ae52631.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6d9ebc016797060a03a42a64d2f2a5d0e77e32fa122709d64a21d17d07749a16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6da0e23d328ba6631bf9f1b54ffa3610588c35f2c12d65ff8db1b00b7f866957.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6da408b8ab836ac8d75d3de7485d5964a7a17be96f3a491b33629aabdda8ece2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6daf833f6efdd031bd298935b4069a309ee2d325a78b674cbdd749ced449cd4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6daf9dd91d2dd9c4f23024833feebf1b9679ae896fb22ad94d10481cb87c09f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6db2324287681e77f0285bcb0300361b2798f7290fe56706f1e33f1e147b7307.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6db2f5297ec58d8cb833d008922dc091b6edca9b0032dbcdc2219aa203a8861b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6db42bc63a38e884e989b8c49fb28f3b564eaee216b8a5beb4a892489f40bc44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6dbbbff3f911aabb496740c8722111c1e4bcefca6c6dd4146c6444c5e9c45595.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6dca9cbe886568b79e8940c334cf0ff72cfde7c454864de9347f7a42c56bfedc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6dcdfa95049edad797fe6e097cfad59f6b751ba8abd91aa7eda7b531ea96b760.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6dd0199b05978b094586690911e809d3dca7452843d8345c48008213cce8be38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6df6273253e4895db9befb9d50efbf5a08ed9c41d6b3186df426c9a7e0efad64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6dfdf2eaeeaebe1d0dd1f0588bd0ec1ee971e1e2a6f2894ce3e856db4d4c9103.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e11243e3556ac0dd8556ee0d665e2858441e9f24926e6a2d591bd597e5ab592.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e2a48a74f6a23b9b757ad4ddd09f9151abf8efa12b2bf8c329adf606063673f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e2c8b5ad77e668773d1a8a1e99b3a7ded2303e9ccd6dcb31d7817292667365e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e2dcecde977e0ce8e1cb320dace1b7ce7460ca3b89946d684d687a0967720f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e30588cccb76555fc887ba3045713e2dd37210565992bed6158b476b33602c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e4090fda8f5e7d65c5c7ec1455a125aab38d1b202695646881aea31424cccfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e4f05e1860a6649c480d304ce5abad8ef72fab1a1c9b15c669f571b19e5da3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e53db8678b6b3ecd731374ffda671453ce95d6d67660b8df14898d34fe5b529.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e6d1e20e988b16434889f2c28b40433c2f3abdb15c8db53b9e017bda67cb43c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e6d2d958e4a6cca6871a02d464c35da37bc2b48bdd18ea40424d9c777975e13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e7309bd5f7391c72c88882afb7353514d12b21d473cb4f4bf2dad5a87fd1c02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e762746ffc257d1a3aeea35dfa8d073f37292a4b91fab5bd1f7abea44e3b5c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e80c3cc2c3f52317d5ca26e6440f43589336913c9a56836adda53de2216b778.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e82d5446fdf064bdc499b834b06b51ee52560894706af75f4785656758495a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e86c06e8b1efea0d22a75e1d09c48e7444718baa151caf72da456cfe1969c39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e8e410bc18c6d12afb571ef15653cad4f42348ab7ecae938ccdc43f7d81268b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e8e5ed6ecc9c58e8a0f25e96f84be9d2a93559d2605d43311ebfdb8774d6a20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e941f7a0fe3eee87d8785fc1e8a1ec97c968e98fcd83afa0317423b63f23cb3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e96d9a748822214695e985c5431c12bbf3e47fec107f69e3b9088d23e50d3b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6e9825788b08446c8d446f79541b4d8d0e879a3c620bc6d9669b5cd045e2f2bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6eb06b1f41b354ff6c2e15c816329bb3a198b991ed9161247108b703ba0bbe32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6eb6118279a3e5e789bbd50aa278890be7d44168e80f31369be571106e13054c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ec4a2838027ede155ea119c6088143cbaf36e942baa3bf940d650fdf5f92cfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ecfe6fbb752b75df26d0b0853981f6f4cb9d829ae4f8e235d6559d1783e9df0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ed212f665151103eb1278a631387b3e52d8f624124b7754ac2d50de69626ebc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ed23eb9b5d1c19a86375f95b9894c90e1b20612b54d45cc7fcd817f50a3a4b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ed3759503de4e185106b8cacf0dfac0a24d0bbc0f2935cf394f8e125706cd15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ed9f9178f77fdd999cb0a8cea7466208e21b56a3d1427dccb63e50185972345.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6edcfa3749f8d02830f87e4e5594bcc9ddc6565635b73d3e746f0867fa067194.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ee085f34f22c5918ae54f7e9bf8464b0262adcf6caa5859899bf8047861c1c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6eedd70943f1d3841a98122bc6c740c63dba24dcb8c68ffbb3386fd7e88b34da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ef23fcc736867c920a05ccd1bf16ba28343ac8c5fc66d0254cf752bda9b27d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ef3a05ec281579667653ab22a3fa6f76bdfcb4af0c19e150de08ac9eeb8c607.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6efc8c1697011db7d824d73b5158630f4768c0958a4909956cb5d697161a4ec5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f096898273c93e0cb35ad8ab57f7fc3879dde82270b73ca15f9cfb3454f78c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f2440b2d45bb57f8f6b8aedb745dcf04778f8b393c7ede862045ca99b5e4ea6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f2562b6c0379863e0ca112b2fb732ae4ac9ed7c96d61ba01fa54ad0420f0864.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f286d3b5a8ee2f5d1a84e08de904eba42bf998d5c147b45e88eb79d8a54da02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f29668b26678390b9d190c945deaddd9b2c5e8bdd063eb5d654cf9b914ce62c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f2c1b550fe2b4155f63df413279309c63b9c5b3f780361adc572d13c61294ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f3430e7b2630e09a28a2a15c58732e9b0ceda54f5ab6e67fbf345c4cbd87f78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f38b2fffbfc8b662d6496dd2fc2f0188613c73bd1cdfa08f46e4990e96136b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f425262cee79940b423ea31205d90db1b853de75f71b399caeed4f02f10a74c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f50f32491a2f7cd879b8d6863cd21479f4b7ce2313da254dc049a885db2a87a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f57f099b036c4f9ca3205f6c1c8f93240abd34588e53cdc974f8ae2e0dbe3ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f5ba98d76f426ba8bea11ca8f9d69ddccd753e74eb2da1ce61f80d9899ea607.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f5f104c3836b63b2aa740adb60211fd22cbbc8eb1b948331ff6ca4aaa479101.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f7f3165eae8d8bc86faec311d345bf0753e05519b8a9e06bf9f243d47506ef7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f80d6c50adf348c5d2a72e00665a915cb2a259dcd5c26172f1273cf9dda84d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f86502d396bf07ebbfed4a6cd00298edfed705be2fd3577f9395dd51fbe4741.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f865ae9068c3516b3586b048635a8e78fd13e110142180711eafc3438d499f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6f986123de8f5607488fc931343f28401f0e1fb4729b11a98128d5c377f30fcf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fa079f61a16f80e283b5aa1e1e5d480bfc4f9d0a5d211a329992fec8879ea41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fa86db9e69d70997644c4999b942642e29a741bb9723b8e6630cb0c1b77c4be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fac952e9675a167420018bb67f0db5dea8bc4959c4cf197ba6d70df03cf16d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fb3d9ac1e365ae17fa0ccd20b9babe8f213ada93ed01408274d1c971dc514d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fb755cc41a3c0ce7e17b4ec9d8d94b61e13a2d428eed83096ec90eca1d1775f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fbdd7861e18689623a0db961ca81aa24499521ad8082ecd7c4a262f1064bca7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fc2b247d853b86438b3bad7502a9a8ad5d1d336b1958d6ddd73e1558aa5b3d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fd1e9b5c32e5ffc94abba8ebdf0e773fdd563afcff166b6810d05afa11c3611.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fd4162d1608517b4b9cda7d53d9ab3a4dfd5b1752aae0bcf4be3577bfaaad4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6fd670a0262f5da84d81c08ed6700c37ef0779e86d4fbf37a48b689ef0895ac5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6feb12e686a1ae4d8339178525debe3f9b4940189e571451b3e1395222c5aaa9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/6ff36ce5b43ee0be7b3269396c1f2007e61bb41103f0cf675a704769205560cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/700144fb607ea521d8976a5699af34137c63adada32de0c52fb6ff83c0062873.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70089163b9f5a22b1650a30902e88972de3f4427157546691e844228558ee548.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/700b432ba3ea5abbb072fe46cbcb0ffbbf26e31e2879c51856d278f35d233540.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/700f01820ea68a3123008ffcb26b343a75cc9e3d784f920e5fdf2aadc3405e24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70119336bf1b3ef9eda35e839c1dfe1dbf46f7326aa49eebddd41c9e4b7f51ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7014036dbd4ab34f8500bbdc15584a4dea2a0c9981bd8bbf69747db3eec04e36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70173a269fac9b628da6f70e4234496ffafd908f58ae88f6474f7c798250a889.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/701dba1e52b706b92405ab8bb952263da344c0272ac2d1cb9bf6b09bb8c88282.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70241cd69533e421157a3d5c2a0f491e6a1a1ba8ae0af18ea9cc75274e10200a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70243bdcba2c8106db6f684edc4c83c07dbc117f1a0812c0fdcdfe4745904665.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/702b14df5feedb3fa2bfa0cc1758b1d37c27cf94915dab6be8f67a5146d6e502.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/702cc22590777df31983ce2929f3e17c5182a991a109281865bbc4a096f664b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70474de2dd14f9be389981351ba2f734411999759eba713d5d4c11bf334d9dbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70486efb60dbb9d8047413eb4bc59bec84cddb8fda0b2837e360b4b60d8f7bac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/704912f2943756c6e75008025c66fb6bc33138e58590ff68d9bc00594e8d9a2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/704ee685aa866d2d91635976cf2c0f73fcf0e65bf0cabe8ecd41fa0d31153d0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/704f682dbe3ca062a57cb186bf055d15de1787ea26ce1ec15b24480b3324fbb7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/705171e015ed4a2f5c2ed440468c9028e4e9e797f7cd2eb7a83ae55343e0d04d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70560e700f8eefc254a18a5a0dffb8c7ce712423d34d6e52f475cfc27a7fdcf6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7060008d01b438cd26d5f923acf494c0e0b0db51f3022438f9030a7827ab1bf9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7066e7811925e827549b5913634cad04ba1d63a8dc347924ee7ba0213a4abfe6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/706b84bcc652a4e8cdfc563558592b1925de281cddc4d92f06c639c4f3bc6ee1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/706cfebe79fbce566bf137930a749c4d9bcda27022fae3120fcd4b330ee96596.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7074fda8e2f79289d299aee79c0a55664c7ddf922bda4f8b0b1c5c974c86e19d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7082ca8ac3c5980b81fcd327f507dea29707635cbf8fbbfb39d10aef554e6617.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70912ff8859e20ab9d57ad3555ab4d5332b36c633ae36ee96f067f907066a4d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/709ae63bcea15d92f9fd01c844369798b53322da6d45bfa9cf4c0de5480a3de3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70a64690c235cf0267ab192b0a55bd485763dd5d2f0cbb300abf8c008f109dd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70a9cf882cb0c3112d69761ae6e5daada04fe991679f5084f89ac7f000ffa93d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70af4b3af65a8a7360a6f83270a466ec47b8e6a8f28bf0e37fa9fd6b5ab05417.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70b6a574684ce624f7e92dd882e43474b82b77c8adc4b86522bc59e33120d5f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70b7c8a6b40259201fec0a7cd3f9a9e3b402fc2bc365a52bec9ec9d60e7577ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70be2ecc28717790b7b657c850b7dfe654cd70c490d5cb72923214fcfddfc07b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70bff091ec87225a4a5297b93be1e4e6876a1bf88fc4f46a4f116c9dfb75d439.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70d7f4a107b5f683db716408737d02b492c5ce1010207e5602bdc7a54f3a5858.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70daaf456f7e6486a88df1ec43dbe7101fbb342cc958cc0f48dc07190e67b760.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70e1e58e5742e498973a4080804d9d7018f1a11eae7011af2d6f8b99aa1feb5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70f270a39fb82f4de9aff0b04f60da6bf0d030652523f55762319af404259410.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70f559bdea86359420c31a5e2fbe5ecf7caaba14d08dd078e7b5a0d47786f3ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/70fb73d42b98ec121d73e55a46e45d6adf842889dca652d8057b8193c5e9bba0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/710a74b9dec297f0d1d56b6f90fdc658700faf4344e92d456f7d417cbb8ad1e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7110ea1cfdd639e34a1b979b4e8f14d8733df311edeb5bfa12b16f36a6d17512.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7114cd719cfd24deaf919c956a487f2c8c3b77b3eb0c6ddd143c2f14cfcab527.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/711d3bab5b7091cb582850d186d6e475360bcbc98f5590b375027bdec1e39848.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71214888a031ce7e5d741c9321fb47082a9bfaadf5b0634e103419edc9ca7c4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/712d3d35663a31502a9b670cde8c834466d6acddb7946307ab7ecf05a6c11d83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7130c060fb665547b821730a5edafa8e064b0bfae517816bbc5af48575fab7af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/713182f184025bdd81a948c09fd2bd8058c8ed1377dfa4e737d11899ff16980f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/713c28caf992f3f393931e3a03b7fa56e696684b51d5cd7af4f9462f8f5580d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/713cfd95267fd94793c8f186a679299d27590ec07799826ef5e9a6cc1ebc1092.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7145b8c687a690fba2c953a67d68d59147832425a5ec442de76c746c9b560d53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7152e6b7693e5d2b4b33f1b5e0e99825dd115e4bf7ba478c3958f6dffcfd181c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/715633766baef7966af87bdb532fd2e9dea4fe605a362aacecbab313e84d6053.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/715e363092f4ecafc53dfbde9607a2b74ea237e610a2ee3314f05c60e413cb32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/715e690a278583daec626de3cba9f7a961c0a17dcfc29b114c43ad9c7fa05b42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/715eba93bdaedd3a5ba336257b6d6f9cbe54254922a28a2130bf1d317b1cca2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/716be728b072f95b2dc3b1ba3b8c3f419c0aae14894b8746f5b1a5549235030c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7172403c059db80d609d45458ee8c28806f7ddf4f750f5ddee1cc2601bfb1355.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7179a1deb5690a881f58eb715b3453d39a05b19bb0ef5f73faa31f9b47efe298.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71892b3fe961d46193d544a520da19b4ef82c5d42f5bfc1a22fb3342ae9692d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/718a58baa7f18fbe988d5aee1e0b65a616fc6e663238f3ae09440e00912cfde0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/718c5aca340dea69ba38a7e32d1247a78094ba7b5d3594d13c662366d46d87ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/719199f3f45258abb964aac1c8b2bfdb66898d1e07e0bfb4f20abbaf9ff39426.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/719655210772254bf7fbfe3a6f8342a10420fe55c58f204d037cc053ebd8911a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71a38b32c1168bd52d62e1c5794610ab651337e1ffbafd9cc347c360389d0a47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71a4f0ecfcc9fa12aafdb50ab2135a221df81bb7170cef120ec3b65d60a685f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71b1f284ed356a7e7d32c4839fc84bf577aa35dd2027616207ca462ad1e5dea3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71b459cb5685811d76f5bf9dd5e80ef6feae828b9efa60e076be91dfed73b0c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71b67356d1dd27f382821ba69dcfefb4d4ef77dfef6a96b70e71c855670055ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71b729939658a674299a9150b59f4b5b8fa3a8d9f1707eebed1fdeff5bd09ee6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71c182d5eccffc910cc9c3d9d1a974636dafe82b1b9d20fc2b6896c0fff74d9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71ce7b3ecc7a05ffc3c70f3be1da8b208c3c84c92fd3083c4d61920464140fb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71d13330968cae6762927c572995a1b6485e7936577fb1b526a1aed0fe2a5bbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71dc23c6c9f72ac66fbae37ac3a53bc2928e5b6e9faa815367e3fd57f44dfb3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71dce05a4f688b5ac6a52601e797ec19825e265ba7304557e33cc4470c20737c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71ead00cba77f78544079a1a71c77a54389ded5b96982263421301059c7a12c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/71eeec874c283eae0c7c30498784149594dcbcac88636eaebe010d8cae9499e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7202992b2b92889c4ce38704384abdb5579412bd909dc7cd5970868cb04d1d42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7203a4a5410bac939a00d6792277a48619fe8c8c5bb584eadf51b61012372792.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72051f6e623c33c1f41cd9fbb20dd14058203ba60934fdb90e8565aa4ba7fd23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/720579c043f8b9ef39ebbcd8bab1418c9b50b44f940a8de2235357030c2e68fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7205ae93e691efa4258f8bd25cc8d0cbaa238efce45a4cc6f6c02ab90de26f8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/720d5d5de4422effa888ca5e2912dcd7dd9e6012aa9106480c90fe80e23c20d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72135e7a87bbf6b48dfeb10fdf71aa6abe8c176c23c0028243106727518f9bab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7213c471626e0c3b07c5b3c9382e5995ef7044bb9ad354b9e90ce83219e639e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/721bf594d16a7e3f83d8cae6aff0000d3456bf1842e669885fdafe6db6762464.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/721daa61e2546d1d3e751beafe9841f2604e45e4a4f9dfcd71fcf7a1ce302d75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/721f57a29d4376ce6d286b869970cf626db839979ccb95a8c2ff66a839dfb86c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72226398870cc81653f00f55e1b9f104807a8891254ab8b2cc56018e2e8cfa4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7223e85d54501f7ace6af6f950ff40329cb7dce5887c67b019f2a67f1a402430.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/722472c95da477336db051170b500b03751fa03b17efd4aca8704a5085f050f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/723e204b78d1008818aed30679173163aa4e747d5f267e49603b5c5652dae715.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/723eb28e777ffae844ce11d343700b4ee1d2e89a3d81c32ceece5a8ab3be129a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/724ca0f77268dcc057b25425fdbf3feeca5fd2de4edb2fa9995eee5aee709149.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/725d7ffb9a03b20fc5c83085c4fb8c73d1bee907abe1684c944dddf31ac8a81d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72651b43e96b3aff7c9f1583f60a752db25ca944dc6efab150063300bc1f5f7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72688178b68f82403cec35fcb5d36505ac41157aa09139d213bf456dc6f37ea2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/726e9b3c9ef9b17dcba14f19f810052f1e129b8914f85c9b2360bfd3b3b90959.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7272ce2c3cbb6374d277fc8d905f0750ef6eb5a3ea74be39eeeefc1560fc57b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7298dda10000f11ea340a1d2b43db41e874688249c81a9e14e9e46a414a96f48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/729b578140850b939283e9359dbc6378efa562c2a3725ba34b73939733aa8e76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72ba42881cbc7a31a04fb2117e52757e4fc2b2040a44c7c3487ffae199f64a89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72bbe117802e35bd193fb7a83f303251412dca41da1545c3796e7bf64e3594b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72c159ba7ea34f37f2a67cf267eed6f8270193787cd85d53dc00888b05365cdf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72c15fcf942ff7419462a685f79d2eb976ecc5075992620038adab87495f63e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72da2c6332dcda6be67562e54ce973ca49e80816badfba9d16d40beaaaa44a2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72e984ec2b6c063c3f1976e6ac56f558f4ce85269435eb40c10ec78a60b5038a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/72f70b7b4391ca4a13b3b4345a8554465c00cbed684d954fa409b9cae43fbac2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7302cbea6b28ee49ee45d88faeef47b92f90a5cd4262b5f83f5dd80582bfed7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73183228a8413d18b27a929d6d8005cd500609869fcf74612010fd1160036905.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/731c0b6629c1ef05cc52fbd531cea5582226e64a77cc78a9d01856a4e85c9c5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/731c16b1590e99aae48658b5b2e8e4b8a57a8defbf898e21f37c5aacf9cb8d60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/732a22294689c1744a9963fc34ac486de9050624625fd9fe32b8f2cf44303d40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7331468f1219d621aaf6fb3b7a290a16bf60411da471d0e8b5852bf3a9c3847d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/733320297fe83d625d15466cdc8d48279127925b42414dabbc5564460ee713fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73369b88854d35b4e6bde32c6ffe1e8ecb13f8bc96249e4dce3aeee5e7fbbe73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/733f6d4dd46f0a5418b64f7d537ab7eb7776144a61dc1ea6c952c353275a99b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73471983ed5cb2f5551fbdd8dd86fa9f584f836158258b5c649ba7496508d680.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/734bbce69a0c7f3a8db1a940f6d1a6824fdafb03015060c25c27216f59370aa8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/734cf4e5adf4d53bbc29266c5a04a63f15597ba1a0d1b9ef9e3c9cc778d195cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/734f2d77ed25a5a9a2e51ade086bee8079a2d53bd552982a5e7dd9bc7d3eb2a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73508825a0bd58387b40b27c503cfaa9aee2e6e750b0513c58803087dc4ba7ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/735212a4ce3d065bc5eaef36ac03e4753bcf7a1d09aa1dc8e2b12ef6196e4511.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73558d9573396b9016ab8e4bc734490c58b1d7dc069bd724fbcb0428d79c93c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/735904c1452dd1da2e0819d40ddf110bf182759f69da7725faa39d28bcd18706.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/735e3af855a8023419be13c3b135ff4d1ab5212d866793cba7b3831842a635e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73622d0aedd3fa70997f9554df23cffc88bea9962dfef24a89cd32b6bdddb855.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/736630c45cad78847d9304ef242f140bd46554c0d38794560e3dd9517ea1d339.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7371661f58225c90962392e8aa112fc3fadc2bd10dc68144a387402843c61f51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/737ce470bcbe511f32eed95686ccf3962d49fba2e06487432d8130bd99db8ea0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7384c02c0bc2503a264fd0ef39d70dbf73fe3dd2d1db0459753812f23516e1e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7386326f4ffa0ab6c0e1351c9934c777e6bcca3b108a0c5a490c980d1b98b869.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7387be076a5957eba680323d35bd2d013017a4b21eddbfc479c05b44d2da02b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/738d7db3c82a00a9b436bbee7b5dbfadefb740a8d144655d9ebd25d9d7a50d0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7393d697449c349e6e7d18068f66c1cca2e9069f6c5977518346a216281897fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73940203974aa2d01fc996fd39f080df7c470c067d5d894173ae0a970d92c417.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73986b6184fcbe3c40bb12df943c0585aeb997aa1ae99601c66e71c2ec32211c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/739e80849552c018c1aecc0974b3cf0d83fd2fb0c11252d2c3132f8b4f3e4593.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73ac95a01362159cabaff6ee21ee95ae392ea15f420c3183128436f49c2da8a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73b24b49153fe2c3180302765fb56a7d83adaed3b298124d90ac9cfaf158a296.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73b982e4e1aca734d4544fba8415d6383a330435d30bb5d356e9ecf0b457d203.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73bb4aed5c2aa17d08fc23269d37a5f0a0a405fa91cd7cb40a9cae53db932699.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73c1a2340e19c80d7c925114cf61ceafa4a7722df9d3d6e61238cb47b241d941.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73cbc83a548628a521441bcab3f5ab5256efd68f7149e7b99ac95ed12e56b975.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73cc60917a282f1f4425d02ad5d141e578d8a71af3ed43479f7c74a214c344d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73d2d8178f20eff8a5f408f072cbde60b3cf41bc80977a275a40079fe6802629.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73e43a8d9f6f031393705bba56f2cd7602584f3f1d8a23fae7a83958ab6ca363.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73e461f6726a9b84c4a9ecc4adb6117d18add87050b8b237fd176cb26a29220f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/73f09c68d3926bdea25b8abc391b191f49a336b17344eb81819abcd0fbfbab41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7412e341ceefb1ad8595a933424cc3c3956c3af41f8330251090c8091d200d84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7436e308b80e520884e5fb5c24c7c3e71dc93694ff8d5e6a8ba89e60f2cb8777.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/743a01fb8952640bb65ac5a8cf97b9ff245f11cb86bd069db19dd9caa0f0a16f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/744236159bdd3c77c33ad2345ee6c5badf57ba68cdfb06cc51388669a0bee8a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/744577bf2e6ada5ff9f875183443d162f7ee7e6f4f3264d9cee92ac5fd3d1bd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/744798e6b43bc2d36e7b1b16dabb488de6fa76dbfb6d42ac2a35b24ca4767a6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74491e739c4d30734e6b77a41455a6b88d1619ddff9adec2474710399ba6e60d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/745ad974a3578575597529a7fb3c178ea0ff10920b42d09b93b3338e1d278431.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/745c290ba7d1e4f16392dcf4bb43f8bb3e80da2ef3c2ea6338bccdb3179cbf61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/745fd625744ef5bdac678895e574a0a87865658d45da038fa4a958dc9d58e4ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7465bb4b50612760cd2941718402c564461754ad6fcf9f9258d29bf1fdbc6403.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74675f0b8f867dc35fd8fb23da82af6eb0f74abf3b7c0602795c7479166d89bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/746a5cc136bf4b685e8fc0a89e75491441bc6f002edb31c4fff02f3ca74cb841.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7471ca82aba94b872f5d7db85a1e99a205a4c0e75e87461d16d69014b5f6b10e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7479e307c0850c9fe4fc73c4c94aba37a861a7966863a90914a3752b39f564eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/747f1c638ce222c662deed5eb0e1c73b7130614146457243ff602f080f952991.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7484be77dcabf823f6d0f465fe9109217067501af606194e32dad47815e19097.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/748d3dfcd9a105619f7185d15fb6b77e37d2db845a2644186d0c517fa33af7c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/748fd48550a090f4bf15e9e6bea40c1b90afc8355644a920539fd34496c6ce4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/749e4247db292f13274be2d739dff7cc57bfe27aa14a65910df312ea9a246116.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74a31f2ffc2fc336b7a2fb9e28249790da25617c12ef26ca46887b666f63d7d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74a9fe8dfef90f24c9982d82f7dff9ecd6c8b5c8d4ce03161e07b3a43a9ed681.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74ae1c9f9d27b3d16da9a26820228611be36be3e2fd39622e2dead20f8d06d93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74b2489b7662db27c4b904385c6ac1c4c7bc47bd612e9a16b0d4a885e99dfa01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74b3b285967e4e1e44db1a9e930d2528360219b9995a182aa79e45a88f50cd39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74b71b7fe4225ec5543f5529e4ac814093f024eb6f7f9363a7ec73f3378acf98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74babd80a0846a6f804c3e23528a3dab9fe961af7aaef954f0ba769e5ca17089.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74bad9a3bcdcdc13f4abfc41ef44c5866dbdc791807d7e0a31fc57f77ed5faad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74bfdcfc98406daba2daf5ce26f2e2caa2068b53c43bde7e2e6467390581ee1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74d2079c09447305c18cf39dd31b45350c41da25da7cada614f60d4cb963bc2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74d5c347af2c59369e23c011cbc361221579e87ec2444bd2ba0b625f1e513b4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74e5af83e20831957426a60393a9ce6dcde8fdea34277f4dc5d205af898c87b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74e91755df905d6e0b329ec04b47e0b1489d5042dda8999e4f96955ea9c0ce39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/74eeabffc2c43c270dbf5e0c3a814b3d45bdb810d7bdd2d990ac61f716c8c39a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/750c77b7343c0937f6c1dc18366a8fa6066be160549eb44f64e50c1ce4077d28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/750fda24539bf32546816554d983fd46ab250a77a07f1ac542379df7b91cd71d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/752134d9ddb3ee42469d39f2d62cdacddb614fee38e5b9da7ced5bba6b82abd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7523907918e305f001405e34d034f7b5f5996cd758f80c46ca5b0f3a89362482.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7533fa10566f6915eddb6f00e1ff28d59fdd61f4a68ce9633fc167b20a642082.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/753e0817a807d14249f41cc131fe69fc56c5767b4b84d481b95a3b51aa8d8da4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7542d2ecb16a1d3535a05160c2387de97046ae7fdeb12a459fa1a4a698034100.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75453cf54931256ea7932f0e883a3748510f26984259719ca4355b31a8dc9b8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/754c54cec549ffbda027c35c10fd421c75894e1687de9762694bea55eaf31305.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7551a11dcb3cdc63847d583cea253f1d4671aff75d34bc5ea91bcbb4dbdd00a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7552bb4cc6017e85ce45adf5db7c19d84b530836c2c026f449e95aa12e7f02b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7567bff6776ac30358182c55c82a5321e765c972087062ddbf3135aeeebf1c06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/756b4bb980ae5895c6efb9b90ac077c4c870d636757d9c31d91ec1aea33cad97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/756c4ce85f70b09c6253f442f675c9cdf31bbbed5136fe4cf59888f3dbe80578.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/756e00b43b80e01933672905e976dcc507de53f4f44f3fb0eca87704593741dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7575940fb344f75a3164d5db3d3767f83aa2d9b0e30d5e43fb124024ab8679c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75767ff90b2d1da75eed3a948d3da0570f7258797d95ffaed3d086a2cedf7a8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7583205ed0701a28aef0b5baffd863f870654a9e7871d9636f2f786d81ca7e99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/758b8cdf03015ed4ddf9e9a4762cfa09ea3bd90082114174806744b50738f7ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/759031efdb6759bb314163fff87918cefadbd48630ccdc7835f26e42fe1c4ece.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7594e9da7eda93916edee99e1f8b831b504cf3b2bfbce93da900ee5b92f0c3c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/759797b2f408379ba1c55e8da827de4524b68b8e769cd89c8bc62bb41e7b5982.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75a0373d7646859f5061a95f0fdc4dbe7246fbfd92787d1840dcc207b6de41d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75a091af1f448a9a537e2d2b10bbcbfecb316a51c90049049dfc0f700dbf1ffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75b5dbac669fae19e12d8819d897b73b4c28c672cdabcca8d530ffcc91f9cfd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75c48c66f976cad3825b77112b22c0bfee0b2d5b48cc60bcefb625de037ac07f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75cabfb9190f8fa359a5e008506ac11c9ecdc4525aaaebf520ed360cef521e13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75cb6a4285abc095d1d52763d77013a85dcb6196a1fa1a9786656e634e4c1f72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75cbcc7b448c82d1e9acf5c0976cabb488d700a9faf6ecb5ccd06ff37496c761.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75cf562251921d83ba0dd9adaea050e80b59022ad9716d466a6ab18dc964f832.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75d3794e1c348ab960c570933224032d9932a69080d17a9563d6ac3a5cd77631.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75d7c0032ef4074ede4c9ee162010df2edb2698df27091ac414b3d2ee6121972.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75e41eaa1db796bd6451a835d2d4018ada1a5935be8d99ec3475cc082a4fad39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75f18556a5633d0d0d64f86ff481c5955f0fd829a11bda1ff8ae22eb1474a251.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75f5992b9eca2144f9d6baea72d80ce595323f1152f0b520fefcc48afeff5542.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/75fb582cab72977fdc82833f9faf292795d663e4f9520972df64d8e6627dfdf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76015327e7aaa90594ca64f98debb9105de4e97d04ed55d1d7338919593bb196.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76095192dafbaa4b411325c7e422d15c8734c41ba58098a58db157e217c45d72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/760ae9251716c9803f2e9cd373e1c74d2f2f5359bef083837c2e9481c9178e43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/760d8a4894e2669e5420f9f986e87b8e80252d21fcb30fe170a32c4658abadf8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/760ed9804aff3854e258b40e819ee19a8c0f8e681e16cb363bd58196abf4d15b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/761613ef88bfe6aee9979f2a9a9b2de23105280c794ebd522efe3f3e76c00ded.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/761a2f7a08b2111f4d17ea19c34b888827e7ec2be1eb2d3d97044180e6e8253e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/762c1711b9dd14591e8d6291b1791a79717c8f747baed796013df7d143911104.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7634ab9e0fc9689825265e7131395640ac0caf51916ac12d64b4880343726ec6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76411f7d3d20b2bcb093d030f7ec4c1bb745383d99aa120b3e28f1c146de2c00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76434dd096ed66208e357811dffcb17a2daae499e81156d1359a53a90a6824ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/764ab247128040ec4b751a7ac054ae0385094ccb3c16ef3d334e9037644aa426.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/764ef7f00a151aeff35d7b0cf5c2950e9d7f34a1807a6e5b063f9e260ad4e4b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76541e74e79c559d050c3e3912d0d46fd74c8f5c7e817597870ebec358857b80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76592dfa60a5e01b56a02c3d7fbaae582080501fc2ac63c184e28d0eef868321.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/765b3ae371f525350b58ef6f1e5f4cd700f95b46f125c73d3bd6a56991612bb1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/766316e3d1dda4e2e7e15eaac95fe0a8a05c232545ca192e0f2123c8ee8fafef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7663217921f84e0dbd12f5db8a53d92c9b0041f718ef7f07065ebcd985da4cff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/766386ba64b088abead987ed7f9effe2189cda1c89bcdeb3a06063b43a1cc6cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76646de8b113af55b63658fec8b56ad0bcf73d8f52f9b0d6cb72ecf32e43a4cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7669ea3a7606c22070df5630c411cd29d58779448ce6bbfbdbab4b3aeec4a634.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/768205a07514a472ba1af8751e9e77badbffa6798ef486c2d2862d07333656a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/768d924e6d631da39df9010c474c7ee218a0a53219b131ec6a25c2af4b2b1afa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/768fd08b44151ff6fb210a149c880ec2c46cbdf83c91c73be0945aa27e8fb5cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/769483d2816ead6bc6b2c7bb2746466406d38d5320b1e190e58f9199010564c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7694d7100b52543b3efc4222fbc2a37f135cce7b840a56abe71c1a0f98b37f59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76a87fc18b776a9a1579ed20a3f09e846cd6c4f1dfad2fa1633271aea0ec6371.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76baa9442cac0745a5daf798e54c01be85b031e858fdf2b82e9d22c152ffa8c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76c203a25ebbb105db05a43481562fa212405de7f54f7620d538e0ee2bc138a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76c4b43096837960f80b683a82f6ca7a13a4ac40752d77100e7f0883cb966413.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76cfb00b00815446dd50cc73f53501f4c3f15047699c42e5a63da9162b279000.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76d541cde577fda40b7509805c938b1d48b9f4c3db83ee248553f88f75ca8f84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76d7a0e0dfd5a96a6735cf94c474aaee51f49266c0efb707abca0230d22c1a98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76dec9385d08e49652ab4369620c35f16c2c2baee781462049947afd908244c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76df9f9c08445ff75bdd31e9cf82592b59b53c62d7d0d5322c24daa286f65cd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76efd788ac0ae3354298cf97f40fa67a5e28c21dba10fc356fbc38d4e3c16e5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76f3227d8ea1f97c07f0e3039b2dc218fd485fe33bbb63f55e912093a8f2aaef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/76f75edf6a36f8b971112bf545f167dd6128d975e431a679ae83f161b426aa78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7707c3aa556304bc222e56affec2ac138e0da440369e6f5168a2e6c0f5165386.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7715e170511ffd8f55551a13d2b13a4597d8234b463d2ddc31d57c666302b012.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77177a7aff23569fb616fa1f2125de360c9b4a5d1f2c12c8a32f93f1de43222d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/771a7a90c182be324db4434c8914f3214947f1db1ee6840e3ea1c3774cee1af0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/771f454605c8bee3703c0cdafb479ca228ce73a3f3d1854bafef2fe65eef1579.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/771fae5167a6f38902c9eddb42ec16816ed7e7c70483658292bcc45b8ff87cd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77212692012889fda914fa48be459102992ddcb889c5ab0cae35363d27768c7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77237a409209e16717661033df0f6f502cd6db9f59b923f0ab74dffa9b390b42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/772baa63f91fad45c4494e25ab794757297a04ec924711e4e1d1c82743048988.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77321039d643e53d709d1188337d8e7a6e7f48b5601dc4b7748bf9ed58aad5ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/773b413e5a28a8701e9123e586339b798cf0c3bb1806072b3230cb2db200e503.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/773fbe9094364140507c136fd22debba0120e4a8dea10ee5270a2e16e8dfd231.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/774606d926d082c27814dd86404dfd659d607222be603a8849a98e416469ad6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/774b33077c748c453b5a194240f98d06f6e7a2f3eb7252868deea6bee98b7d64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/774db02e3bbfcd2a391f7a75fe47f898afc93f41663d396eaa708a1908342dac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/775033ebd3d47df1866e64329e255c2138c9be397ae844334d5bf218b7546fe3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7757d3b4b71763639065691e280bc4601f60d3c6f85ac581dcb94b25d6d88efa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/777b27fc84e94b44e7cb7297231b82dcc95672fd2b92b676d9a9208ab6a83e38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/778663e832407f53a8e36c3c6fbbec9b069deedf2b324475b31b04ca45ac1feb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7786a52f4e6eeb2411f5d45aa7b513be35c41a0ee452bf43e3a55cbf2b2e89b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7790d934893fdbe8baf471b2f8e9d3efbde32a06af75927beaaa58477668b4df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/779358cec1355d8605fcd5adfcc37f347a72fe50c2a7d77dfe6a01810bd2ded8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/779a37e5319a26b5c8cf6d4657ad47a35f78ea2ed3c476a83cac50a3f98f9a4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/779b941568f1984b06225887881fcde21f95eb010972c0bc56780d5c7ad07632.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77b0d803aa163366382d309edf66e634dd8849325d6180dd1911e7ff7fdb5d75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77b425385090a23dfea875b5f7a38064888f3892fedf5f8f409ed13f63be8707.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77c329daeaa7435dcfcf7e54ed166813fd6ed999f089f75c59fc99e0d008943a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77cd8805a82a869cb35f7fe8c146793da4a720708c578a93af6586a574a3f0a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77cda69c018660dc0c1833ebabb61aee0977985a6cb7438cf80c920c23026b30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77e6192477bb7d6f11cccecc3b96851075582c3cfe6336c5bc572bf9bef937b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77efc88de6d701f55c5d0d0c294bef9538b13152e9822a30cdbcd7ca829fc4db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77f218b6ca1ce20d8fd2fd34d111e6b7810ce3e8b109dda313b2fe911944db45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77fe8a0daa941469b3eaa1f9b15fdbc88f90469c74563361022354a3c0713908.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77fe9d7efdbaffe219ed708e61179d8350979b9424b7cd12b7de60f911a277e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/77ffa7fbf7a4840c6fdda50d3a4285376f36da7379532e494e7211428f1f7662.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/780663d1b5b26001d686ed91e0e4b2a3bfa68a1ec8672ab075210562b3fdf2b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7813a8683d1489e904ed3dc5fdc811a15852b1182a7ecd364205363ecdd6194e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/782124f5bbc2095a004bd84cbb0c350885ee3e431d0fdc1733743f9265ba88b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/782170454464fcd2550903bf5553ba8ff550b64ee38d99e62faef85a436ff973.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/782d92a1969bdd4ea84402623ce161edb28390f930be0163fd3aaa45776315b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7835db7d744314108466e35195e1007cb6b6bd427813cc147e717c88683eb995.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/784274a2a474c6055207443869c07d65c635ce9298a33917835f5060131906aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7848e0be126a351a76f7daf109d6cf60d109e2a36b77180986ff32f47e748b14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/784d08ea29453a385c629b518158b5c658d6396e4396527dbd3e59136c8c0c75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78555579dcc47f340dbf1884247ba1c89ce8b93b27ee401b8a70cb854dba20a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/785d23290235d1bd1316c8ad87885d39b5713c24c1b145fb6fde7cbbd98d3cac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/787130aea4fbd9137c17563be3838c3c9ecee6021b7ebcead1ff6a0c73b9a0d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/787bd7313e4f6d8c7340b9be7bee517dfbe4101d40bece9c2a24cc48245a81c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/787e4df8e0916d972b55535a6cfc6524558fce7516ca620ef3dc0808f0cb32a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78815c397822090e980cdbd033d6734589d74c01cee1d9410af1aff39a859d0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7894e811911415a406f0a784413b386c1fae811e7eb1180a138b0b9330908da4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/789b11f41c8e5f67d651aede6f462523838e542be20561dd8c7e350f5a0e4e7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/789d82c767fa420201ebc0128c9aaa72c14710557589df0951b931b6360e4e29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78ade2be62f1685b2d28c36b42781dfbd1328aca7d7e32ff44b45e6cfce47fa7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78b40091de32499e6c41f63d8f4cb4bdf5dc505cfcefbd95c7008a70c98a11ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78b4bab54b3bcbfef0422e1293653738203e65b0783e72c6a39f4861d91d6109.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78c0e18ae6f34965454f071abdea63d05f87bc35047ab0dcae1dad5a48e6bb68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78c45169f100989c6cd0349ba7b6f1188ce8811ec0dfb9e3edaa327ac8bbe5ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78d0c54c71be31e26650b455b99222fd5328eb12162331f2f5050a21f17731e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78d2d7b3a450acc75ceff88d2ba54a908a082fb736fa35680ee6803adac1c8a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78e09183c6758ea63522b657e14d16c974485b476348c127948d70617628a8df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78e8463ea691fb6cec95a79a9fa3bfb4a0db10ef79bfd86cc333b2884f644d01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78eb0aabe025cba8417adfc31384d840bbc03a6c2ae1a625c9beae45c62bb486.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78ed698206d6cf84991f8ca0a898f7abf107140812bd79026e0679d5ffe115cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78f2d4a274a5f4860393756b271b1c80c1a3856f3fd1dc7b33bf07fa32f0d203.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/78fca9d41866b5c02aa997644b5e073ba712f5fdbf4c0342eec2509f8d1b7621.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79024c40f1afcce290a66b11eda407f62a39404311ca8cb4814de49e9a833306.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/790b6b13ba6f28ff05b04d502877b6c00f3ceca753e553a5f7eb35e915d09d45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/790df7c259dfdeac837d0e29c81a79608de1dbadffb39f494b644e749c3e0506.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7910cd257341ca648cd8cb302e2b4117036c00abab67e8e9757a257194197cb7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/791b39fdeafdf640e51ff0b0b2e516f798fc0971c6d8174385b6405792297f2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/791c58fcc3da677ae38ce8d571d9f84026498ade4a18566bfc181bb704409501.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79221263aa7294c35f53c87c085615cee0c11a23981c4037759f15988cc7aecf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/792f82edcf922b4636e8cd870f5a103d0749f25284665bf7b40d2bb4c7cf44e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79316b1a8f4b8c47686dfbacf6c77b967d533c2a9362b1b929f0177bfa0144ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/793b8a0b8a9b791cda7b2bdc09f6b87e10d6f1305592c2ee50ccb67c13139c03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/793e2728d0db39537439b7a4d442c6a104a6322658c2ac452dcc3af64b20da85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79428e9e00c32fe88c50884d55e933e5e55a831c3c020965c1efbc987be9a544.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/794373e9da425fe4e836c10ad8952377ff46f7625258b5244945f6ce4eed87bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/794c75c97986afad586332067c3cd7943f5b37adff56dc25d3a0b89c6a91c0b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/794cb8c444122ca660ffff14125860eaea49946df6603b9ebc83ca652f728629.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7955a6781f8c24cbe6f527951522363a153ada3f9cc873ba5dcfdb6f04cd776d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79579c65da295ab04561b62593cf68f1a327ba95e603a868842ee2903d4cf0b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/795914692e11716032a03d70383407024024f7ab2cf1a26655d114ae6da0be5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/795af92af7789f89360d4fbc49600e95c1a0dc4de3cba1fa009cd25391b4ce9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/796c11675b8dbc45ff277989a55e6b05c21fecabe88aff83bd312117870d07e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79737aa55f17aa1d78fcf37f226ca40d9d0708b5a577a2456b629a9f69e768ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79756a9f8ce2f4de29d0e5b06193d50a012874fa063364b768d720a061ec7ae8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/797d2fd226b58f47140bfecbe3fc9f6a3a3c3d61c2b918ae08d3db3c83d0f703.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7983a102397e97400f6f3609a5eb87c351e38cde076110d57d109d0caf28d9ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7986b6ba7b471eb188f38f5ae73b4898b083b757240a0789ff57fb32f3558c15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7990458cae54328bb26d1c207aed290e1a2459d304761b83614041d605ff75b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7990657bd5dfc8b484234a9d419be81999d80d6eeb6029f59b3e80cb620a310e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7992beefd449ed8466c4d992a68e9d29c3a0f4b8e286eaa8606628a5ea54e058.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79b20a4820ac45daf6fe280011f5b83492b67e7e63d504383ae7ca636ca9e7a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79c262c8dd95b9f9da2c0d46f1a5babf6a8cf96cfa8f8e53f051287ef5492365.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79ca1592fb5551239b40f222009a8b13efaa550f67d3a85a480c725c71716f4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79d1653f851e4a39db17c1a70da6eb2400fc1f9d7b0301090c41a0d75bd88300.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79da391d44bd7228631c4c1ec31be87fa6604a700549e727378df4921ff8a600.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79e09daf9adf6b55a8f9967fca783f75c1b7b0125eaf5e3f7699ea8996088ad7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79e7b4badb61061c360d7d20b9b5da11add6053dd5d9b784a10058c32a62dc68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79f376b89486273b44e79e6119b5841a88ad24961975a93ee44b34eca89464fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/79fa341074d96fbba4115a2cf0cc4ae090d234ddbdebe5bfafece39193c22a21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a035cfb7b32963111b7be3957950794e667aecfef8f08458ab39ae585b66f38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a04d98083cbb444e619b61f7e87637a8278d08ec665a07f45d57bcf900e9311.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a0a69f9460ae959825f5e026ac2341e133968f149242f626f37e9ea5e31191b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a0e2f29b790f171cbab9bb116cb387fc528de634338e33fc0a864deb8bd9483.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a1e09048f04506f1e488ef8e8013f247f72d950fc96443e9f36d28d11f97013.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a234bd68ab7572ea9cba3ecd858ce6cd356eb5b5a7ba714dcfef07a818b55cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a24f5bbcd07adad932c54979d4825f5eda0dcb73920af46440cd345233f902a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a284751fb5000cbcddfebd6ce1a53361bafa0a74ca603a1135bb7ce0dde2a79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a2ffc9879cc7b6e164e19d671bec99d88b14185d615bf30ab0425d0324c0eec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a3acd42633cf05560e737e442eb1bd19b2a429149e9d35038640449109f1ed7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a43e36a1485192884c16181c57dfabd434f4a7aed8af8aad2c9ee51cbe96511.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a47f02d0b3f2c07f5728465706fc16f2019c2fcc3835ffc7ec41bc9f60fb527.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a482035acddffb614adfe9247b927b4861f15544907a6c46e68e66b691116ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a4a648c912040b7d82bdda9ceebfff1f3ca7193e1102c1781b61057d0e9d18e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a5e3b7dea57e9efe16f281d85c946de579a9488e95bbc64f9465282b651819b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a60a9e3d08d3ef85ffe188d95751311b708e87e82a9119aaddfdb675f9f8213.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a6504620e7509b7932c7a2b6e069315a077c1d0572c3debe0c5f1561bf1ff36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a698988f8694f24019de45175a26501700774bedc086fd0990661bf4d9d38bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a6a6be520968e930621741b158049d8349871f9efa0cd23521d592c3a103dd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a6f3710c575ce2f9ffcd919436c067fb0f0c1854ba004f495d853e52cb70bb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a71c2a2f12c714a16d0ea760ab09016aecd24ab64b06e902e0d02f1530a180b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a8031ca52a4b1e10d00027235ce6ee923f2058dc2d7286836ad4e9f41ebdfb9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a80fd6afb338d05d2f85b85145ad7c3bbb1b0ca8559de20a182163d9030eb17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a81ec2618b433065548ff68f8bc5f06901bd378774e6e18ca997041b5cd5c2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7a834d27004e11540ba5fd56bdcab3da6c1a3f4f64086c8059c80e20d5fa81d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7aa35e20310acfd6540fcfabd32d7edd5ae0545b2909ce558c65d5483b67e6d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7aaa31fd1cf6b354902174aa83f7173c47ac086db520cc67460a668ebfee8c23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7aabde41a0393f45f5b3e910554f430522b3beb482c534c99389f8e39b72cf43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7aaed1aa156f5f1d68017b871d38d47e64be81462220830ae288175b66511889.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7abafbe34a33fc1a48f859cb73c711699402e4285a97a07f61841a3df860feff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7adf9eb50ab9ca56db31ce7760bf6ce8ffb2712428208e8571f395674701e5ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ae23611a9f759d90fc507875cb26ab7540f50e9469dc530a81219bc8a3e806d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7af1473049c5a872910650041e18d3752e92ee57400aff1f4711562794320b89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7af2084c6731cbeae6a4df012441b5ce3b4d236d4e9dc11a61d7b4a9bdb6f28c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7af489c2a8d4f5ea7aecc541e2ded001016a99978197ec4092ccba0484053de2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7af70adb941daed6f8198af05afc2e8554b661ca1c548dce4636c71f6ce1605d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b025bada09d7cb81f9b8be83d561c1610a5566d7d1e1e7370817ed0f36ed0a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b04277f7d33e29bb15b9b7566bdc7d1f16e919d3d3cf6f325715846b81bbea6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b04990ecd3b8ea9555c8c6c40490dcf8c8ae1a826a02aff8219dbf797c7d6d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b0832fa05467bea8196b6275b1b58426a5232a3cc36910b995c339a07a3c76d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b130506f6cc51d97a00769f5accba615c08d3e94c5c72cc49864dc2f0c82ff1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b150fdba02e553707927b23a9a229a1531fdc32b4d1b7287a526cc83a91fc6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b165223dee5f9640def003c2da840dd547b4106b504e3fd4f92205d53e58eae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b16f9675fe0cfacb164b2ac8cde6347100d84ca982508ed5c07d41ec72e5a92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b17d87f58727e9882a2d9a2efa63f3dd891130d54b19b63f82ef2997b3e98cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b234778960433c3a91bf496eff5c83c9e6166c725d3516167f99e9093b3b5b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b2dbc99462daf143cfce0305fa34cff80bcbdac93ebd33a1ef41aec525c2457.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b416443319d2ee7ed9ad0e2ed9fd7ab8a871cdb6f4bfba3142e6ab8177272bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b424e6d2541a80caafe496b06e546868b93566eeed7d86f3b013861df066127.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b44b1d14296cce4814f005510a7e3bf97eb5c78549dc1416e2e42f6e384f17d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b46faf975cd6f2e4f418f1130d28d42eaf8ce8bd93a857a6c10cf01dd881e77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b4b061a0447e44d1a963aa66bea0dbb982cc51129c7a8ecbca28c078fa49376.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b50fda41ef876441153293d8c2b1fdb89330c7377cae330131ea5d19a5f5e24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b571a683968586a83f06089cde4a37b6dbbc15b30aef203f6761fe875758c4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b604457513dc59be24bedcf512ed073f9b513d1d3f75893d03297e287a13cd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b605a04a0014e80da7adad756af521baef2cc23f8c4fea9d6810e9ae53a949e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b615a65d68058cd39aa950ea21b2c7c553adb495b49ad32bf0f7ffff19e4e1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b66baf7817ce8ee46a58db71e0c26b3b020cd0413ecd7d5b798fc22d860469c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b68aa64047f2063e1d0a7c46a02b7712bb46bb277f5d3818bf27a36ebd72f0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b6dc14cb1011e71b8723aa2a3e16c8f08882799c8cc621f6a3feb7a214e8e79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b7eb82350f58b443a4b1c4ebdeaaa0cef2612b19cca2e7773458e05fbd31c5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b82418551e8af767c86b8f143b2d3f543b53df10dcfc7b443b5cf2e007fe4de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b8783c886062ff4f0c3b3fc97109e95e3bd971f08659217d66a6d13109880a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b8d1c84c76893c7865cb0001de74914d1077f544433e1b47ea6181ba23cdc26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7b9b81c64a0fc34210661fcde3722a79d5b25364ec138e578bd533e8063024ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ba326d3b161066bde37918ce663f79a0b25ae1591ccc4f758d3131c89bc165d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bac83a6a991f8c496446a9b671189a006ee391f7ab1179ee1b29e6a1ac13cf8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bb225c3a7eafdec97b33cda1a23db577d52ed771ec4fbfaa251d394c3849c64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bb54c0870965748cbfb90678de710f83a66c3e300788615d17a812f215c8393.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bc7e35664af1d66030b05bab601967eba0106799c5d493f79aceb7c0cf27854.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7be9a60a92f22d03ecb5c722d8a6213b789bae0f2835d6de8de66bcb9c2c000a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7beaa7aeb0189970d2c70a4894a72543f805fb31bd6b023c0c08476cd7cb3519.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bef8e844987bf850aae12c78fe91aaa830778d0c3f92d8ca5bf8f4609d5e738.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bf406a202b841272f0931e648cf05e597f52f07f077f6fb75ded8c786be4673.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bf482182c7115d5ba43a7bd63f692d7c509f93c6060641967f8955923f10c9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bf81973b02839fd9a026e9f11deb56372b845cae798ce0b1dc8598e1dff292e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bfacb75fcb237799510013937a58776891d99c615023cfa26846e909fcc40fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7bfb34f7b42d82a1ec42aa1e628152e93e8f1acc67f05e6212adf7fce5637b78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c0505c22130c6a8c66c0330991b133b6c684300a0c21014d79746efc82b4573.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c08cca6097459db380d25109e8d6e9d56bf217e8b5a5f97f2a49c973f63beed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c16b15a64b1caee93f0d7d99a3b7f2ade4ddad9fff5d7f8654f9935b263f868.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c25aab704ec4318b2c2410028ce8a8997a904c273221802a82f86ebd31dcb8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c30cbae6d206086382e529256437883f0325c118bb1aa67e500300e5c0cf495.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c31323f762dd7f49a8b99192b85b335e59d274eec7a56fc1abcfd4c821294c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c3bb967ec5ad32a014e2cc2beb95cd8a22f829f5126eeb4acd2b74d358bb7e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c47a0f9e5cca1c3e10c06e36d726d1047df4a52daeb18d7f621f1c749fc35a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c51dc5aa43916ac1ec6d39cff0536a5d28d4173944f230b395deb830299c17b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c5cec32f789e674cfde9a19677cdad6b053b7c29c539940e2f39714ffe6ef54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c64eb499a4282d86417a04ed9ad5f5e3cac6427643db7c9cc1fc99ed9701d0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c67c31429651e58ad4a38b794fb7cfd057f0c1e065844b72b9bc7b855d05054.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c67c93fa66d813c9482a8d1de3273373ec5a1fe66854ff1f337ee875ae7c2ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c6c214d7813a6312d3e3e70160f26d2e48fde4e05a62fa9fb32553885704239.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c84db179b4d24968a8344d24bb0169652f10ac8d6066f30103f1975944c32a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c86905ee0469ac3c1803c18341cf4b9240031b022f3a19a5ed40d89bd284953.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c8f773615b1c6628c80f0b1e2db22b97b4bc449ab1c2c7983b388126410482d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c91addeb5dc80805450e21cb367e10824cc6d6dc9024a1ec9ed5ec09b47503b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c9529f246c6f348e92e8b36b03e39aa777c43e44d9879f986909279496990e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c97a389f21635dbcf2d5ea5b892614845c7a3f308f48219500a43962d911406.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7c9cb15aa3c24e0160f133b2b8865cbacc80caa2a5f1dfa796cbe30016c3a80d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ca03d7ea173b3b2c3ffc038d823671e10b3bf8a66bbb7f9ca05f44db2eb0ac0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ca6f1d7a7b6957e12c56949802054977e5b868468e239db67211538b30458be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ca99f2d1b55e511f7604e444258d84050c98afe1647bca23d81f1d9690a9b6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7caef8cdeeee65fc9d19f4563ac55ded47bb51acbfe5733290447e43c9df6b94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7cb85afb87361c92de04bb27d304a6de11b31830f40d5abf9ac6cde0dcefbb43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7cc8da4e5a376dcb3a60106e094cca54f93422a377669607226028089f717283.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7cd4683f941c77a058a41b94a03efbfeb0f1fc7ee39f530893797e7802c03b8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7cdb796c7ba70a5275dc21104a3d649bb448284e142f1dbe9978a0c93c64b1b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ce8d10c264bbfb1f9572bf93811f965b556c51340e5c37561f467b85b700321.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7cebbffd4835d0ff72bafc5f13744f7bc12c6059bfd705c371e44076c8f04ad7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7cfdeddd3d3d1ed4f32757a673cc4c1166d0de8bbde759930d5dfb5cfd25466a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d0220532efc59fbbd66524e7780c6d229dc2e172cbffcba86e92e67782cb636.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d03bd004a782552a127a191c83dacb692a0e6e30fd32ea2d5b21af70ec4f1a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d074a4a23c95e0e3a42b71beaca96d080b1cb194f32b9d8d36856f5c8f5baba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d0cf0c29835e76f6a1f25095767527cd241e7741fcdae22fddf5551df548fee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d10bd52ebe18996dd77fae4456b745e6bdd37ccc2c4e5083acd4c4092047224.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d12cc2df6bd3062c2540068dfc439d7d66ee8473668011d795c5c7640d8f20b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d1c53bf0c36d088df8eb4b03e5a089a8ee13d4a32ccc3a4f6f3e4f60fd435a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d25bc83ab97d4c5b4e76ad24275ca0facdc065b9714d0c28dcd95a219f58218.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d26b62b896a32ef517f740527f32acfce06ae5dec303e926b98f62cd395f4be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d2c44d470ea72bff57b8c0727b2d9da9bc48788e8de77db5642aa265e603c9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d31b355798a4ae08543d8a4b88409fcce55c1f1ee6e07b07e7e91a506e95fbc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d36da1735b0844c37defa1c23ce1b03e700a1439df22bc1c988109d1b9c5dfa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d431db6402b03b0155a95443e1cc16e583ca0419fb41eb71519b793bee135f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d43ecd8927db434fb5e8263871da77f7a8cb13936a9220410601e7beff85d46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d4f260d2a17478337500a180e4287958f6114bc36c11164424a0db47959b308.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d546a11f83633387c3542acc3a4511faeee74b01427a117cb96025992396eef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d595728e3b2c67267c8b4756172df67028e32b08b4c47c5220342e1eb142c65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d5f0f686615813a505bfa4747eec630597d14bf6be29aed09d9d5e6e8fd472a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d60f1d56978880259ce83852af45d175ecd496c61fc8f7203a6ce6d7016af17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d625b142f3ee9fe5ea9df5220783c8983981040e3577977a345b95b98910b1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d62eed11b24f870fb92c656576d39ce35b9ca50957dcdbae0d8145a20d40217.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d6350191fe1196fa217b66cb48b50e6425540330b3077c94e41c065d2a02677.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d6785f96904cc9e0d588e4af84cdfcf64d8bb5ce76998ebaeb9013f15b74a1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d7359ac04e4e9f8f53ff2aacb38388fc7b18234845788bda7e5f0c5efc51dde.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d774fc0a91974f7ba6e0f409ed7d9260cd7d5625a7e1caf57b03c8e05f2f09e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d84509299faaf7a1718c4749d077235f558329a34bc0fea5bb246ebcb93cd79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d8f254fc780f74d830391eb4a51d60da62ba263ccf84e782c4435031a0147ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d92e0fd32c67f492d015a9ddbf489cb9e12bf777f5f91b3bcf4961ca43b2781.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d931e7f66d831367bdd7885f11d831795b510f3dbec3fb483dbd8722dc717a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d9823534c8877d1e4bdcb4512b6bf29858e5c2edd66c1aef28c9ee36b55e0a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7d9e8a7ff873a21bd8181a649f4e94efd7d09af7b5c2d956feff57f1a840b9fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7da140a9d84701a3e338a21b8754247605655cfe0fbad30aabac07eff31b3dea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7dacd07ccea46ff81eb7892cf211e312bc51861980966590689f63b1a648c925.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7dace1b745755aa75e0e2fd210b3866201bee09cabcd044e6c4a5735c064e338.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7dd01e113c1d9defdc69c40713ddda886bcae9d08c81eb1126babf18c3e13076.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7de02111209a65677cba633486afc261c52dff067b7237815d5c9354ea2e6bc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7dec31ba6c5cac0c3d5a81733589264faabb822b7babee80b89a8230a182b2a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7df241c09d31b8113398a2ddb097123762efb7a00856900aca9c5e80526f2abb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7df283e1d4229c87cab6fb47910cbb830463bacbe9a1c36f0e6ffdd121b8d83b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7df4d2a89b54d3da20a2821f58152205804b69e9adeec3d5b9653a53a3ebbcfc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7dfa5f5090a14e6a8c26fb1742bdddab0b0b309baed2262b204d72ef255ac8b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7dffbe89ce7a2c7a7ac66fbec62098a6f4467a1099f2ccb8a184127cb28cb45d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e04c6fd54c3b1821d379961370e998342e7cc67b78cb1869e158346916c7c10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e0c27368dfadd9d28204946b0b68bfde42fe47f2ddb77bceab6bef27ddbe35e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e0e5328b96e008060b3206fbc2b02daeb699cbbb68244a8e36fc6ce59803ad8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e120cc891126a53d2026ab3f71c0554381bd2cd97f10da607f6f569607ad1b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e13d0f4a905a625f0e949ae7d1c25c818f5e37bdc2555e66183e126a6dca227.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e1854a3b9bb80ed05ba44f1c2382e5f92cb9ff10a1349aa6e15b968f0d5783d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e1f4bbb326741b793ce94b177f69c5266259b9cf8a941403b0c5d7b199f227a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e210f7550e8644d6eae5a62fbfb2d39f433ac3d154e9704c563bcbe58f35266.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e2dbbbaab9c8d293180e010813af93b84c54c2c44e9a9ebee937f9c9c8f35dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e3d84f0f8fc5b1fb4bc12bf7649aa80da1389494f422e2ed23a615faebc71fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e3f3e0cfe17c94ef5517f71bf442969a4794bb7de6b6bb3723d99fce284e1af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e4f85d7e9337ed7dd1676b1478aba943a43c05ba99732768916c4de7129626c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e516bcfc80e5ef1e312213740f1c673ca67ad7f1000430eee93835730baa8a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e66d866f8afb80efbe0c6f2f891cafd558de97c855f724bb9bdadfd48011163.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e66d90e23741f540e7a6d6e3a790b85a81c644057bbcd8d2671de13f10bcdf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e6e360b281e0c1f6dfd16da50040a4695eddc4c1cf5a9905a2f5a0ee4f7fd8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e79ff298367f6705951b0badd20ab2a2e2713cab6035e0a22683fa7eb60189e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e87afbba5b15c873edf35f47695a471c488068dc74af0bf3660419aa59b08c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e8aec9a355d10ff8d60b383764c31e5cbbc734bda5709119d6c41a05660d5fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e8d470ec7171c09b78c7daba5acd1529d86240d66e2dc628633890547321113.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e8fba805e74080b7daaa8ffb48c8d4ceb1a82baab62758d9ee35c501614b31b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e904666c41dc6d1cd2fac24712383daf9d8358c5769df19a409dbc75e453efc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e93f193cfc861867e2ff3427dcbb57ee1028ad148d93d8edd7fb6919519b8ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e97347a2fe2252c43d4953b26f38bb0a9ea36fd547900dbf36f88bd625ddfdf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e978edf3befecffc364d74ef56ee4f71142894c65124c9ed01d5831f5dbe57d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7e9f0372c6e4c00bcf932662a6d04de5774a91be19a66824072a868b6eb3b80e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ea6829b32d62672cf8616a4640ae7545423e04c11faa13945243481cf19875a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ea6ac5cf0b142db43f662c9bcbf22e82327e9cf19eac3548dffb6b4ae42f233.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ea9eeac59f31d9b39fe2a7f366f64b4c4998fc53f09fa754bf8e391010b9333.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7eb32946e78e35de2f8920a02a1745e722177da347ddb0962fbedf4abc1603b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7eb8763b6eeb2a1604826ba959c8c76d0c228ea90001eadf40e6207348ac64af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ebb6799a3ddcfb03f19916b5e610a5df54c7ee2ee5f7ccad9dbefae4d6ef120.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ebd16097c8e1ec3b80c0fd76e920b33caffa3be016df204a1fc4ca1af397f32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ec2a8d12c2b1381e6452b7582d0e6a2639c59021fd37ee5d7ed32e0e2daec3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ec5a115a47e69abdfa8aa06ba44e0ef40d4b2dda78c5d3171b1d72599f67ffa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7eca16d893e4a37b74037610e70aaa6abda1cb88fa6d8db36118bdb522605cd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7eccdf57adcd79fc463a54d47802aa83204ae8a9afa88b60650e7fd7d1bac34e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7edb6fa73a695b73bbbc22eca7c81f068d9ff6f7b5e021081907ca4118923d80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7edd24d32c17e39bd99311cc5830f535be345fe8fa441762be30ab75ef3d91f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7edef243a8ac6a1eca4a7b51fe4ec88cd81907c8186f047b9be8ee05bb0b7af8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ee7690b5bddba9cb5a5ecbddea9c4e9b8e0468d40100a23f5ba63f3bf1563e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7eecb380de9258750d0c7b66c29180ca374cd1f6cfc85ce040b00d3c1a67630d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7eed2a9addc7ff41bbc205269ef7694a1ae42899c738bedd47d39b73c3b7e239.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ef20f8b4ea899efe03c3c8623fffae848d877ae37a200a15e934d85e7b4ed46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ef2619a02cfc3df323ac1857c732be2e0b9e97416b36740e361bb61fcc42279.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ef5fc1bcbff9eea15b2891064e5c16b73b2f31e14413a3c575a9f1696f7d6fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ef90b770a15a8782346db5c3bf7578fa16e4122bc6332b6cb348961abe9e933.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f063bf640f86360d8c812a73dfe8cb7c23ff4696f545cb8711f01a5c4680d3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f0c016aa15971b8e779068f89967db653f93fa0ebd8756f12560996c4ece0f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f211185893bf0c55269372c672bd315f5c67b1b4daf4be802f8d87a038c6768.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f28c4bbeca68e9091ad6d81dee1e94a109c0f10646558d4499826801adb7854.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f2d9ac242568980d68f3098760b34aa2ee51b3b44e57727c54d697deabea8d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f3f5cb4ebdd50b535aa20115ef58b0444a2a95ca8f25250d0c45d2fff7d1a30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f4129186ba75fd86b74d3715ffcea608d2306972fab0f9fdf1d3e0c78777449.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f41e6b4bd91d90c27a979c6d69773b57480ac0741fd645c804a58daea16f126.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f4c1685ce64379aef6154a843fb35de096bc70cbd56b879aa4ff0a50520d867.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f540dc2ed29ec063e4910ff552e363c4ff41c3b22a1bcc779dbf81636ee5439.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f5499b9bdb53817bb251e1661ea08dfe0d967072879e053d22a424b6af85fdf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f59630b2f28398e4ca99810990bfef2a7a879cca7f900708bbfbf98eda22926.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f5bbda9e2928665625fe9f72e925d04b0b686b2bef5d6b206d762880fed362d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f5ceb77ac62c79841988cc39fd9e96ffeeff9a0136762b947843d81aa211b91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f78c320b05db4e11bff34c1cf72b843ed2284b60d6a772bcd2a5c94d1bf4a30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f846dcd846664e1e9baabd1cc93bdac8013b89fa5c81776b31979efacc6dd97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f85c12cec10c8a64ff3cf2330fb9769fbd3f977f1093ff5d2ec586616bb0a63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f8d226ffbdbd8fac76452860c8143b093c5cfcb1d902567c325d7d89c832fd8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7f98249dbeb5d501dad02c8a215a50402cba2ab2b29c6a4a7deac3c0d687ab1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fa38c9413039431b6d7fba795a34f45d12a7d94f6b05e991d4c6da1e01bb159.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fa3a2ba1b75ead90742461104d1b63a100f3ff658c97add14b62318e57e974e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fa7331e8d70b6fa553da79e80da46fac9899f0942735e3ba81ecaf6c27f5a3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fa8783df8e3652be2669b2c8a2065846222b4d1afc17715796d8ee04f0e113b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fa8b6f457c84bc1c69d6a7f86dc25a393af95fcdd4fc8438632c57b6b13f294.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7facd08fe726ea8582e8547304771648d9b67e25088d094d08eaab50b8126880.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fad100203d2a9f0e0f2e7958f7f25c86233d4447ec6abb0febb851ebbc00715.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fad1693a8c2997ccd42404592efe1ddf744d9056e87f5c6fa38108be37bc941.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7faea6e25224b08b365cd08278a8ca840633b77d8cb6faab06e1d768891f294b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fb3b0c0ea76b0986a00ea51d70cc4b14dea3a50900865517723007687e50c26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fbe8ebffa261e8e84ad83152d9c811ba6f63a0a890d4cb5efbc68e2d04d7d9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fc214eba22b64286e8de6541bd29539c3247aaafd8b98005d08ddfe5347e813.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fcff73a24812d741ca63f5925c57862c5f8b2bf92857f53bc3c86c9f01bce67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fd9de7e597923a8a4d5a7f4931a3c44e642ac75836ff353d97130dae393ff31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fdc24490688ec4bbb0d33551666489ef9f280c9e43fc5a79c7f4ea9fccd6ba6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fddc561b300b9b0fc07a11311f310501535e58e2cd4ecc5137a45a6f4f48d9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fde81b1543803138c7011ebacdacd5659e6f8520594d7cc9d3649fe82f9dca2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fe6723c46d1695aa0974ee3e43a47916668bfdec370f3243a6011379b94eb97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fe90d1cb8aaaa7146ed615bc2de07e653424a5a868bfe0b0994e16c4923a666.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fec76c420fd7e96ebbff3abedfd65b5fb20774011e525bc229382b01738162f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7ff27f6e17d03b14d3df98f66260f8b8557b877696f10b89da3933220a363a0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/7fff3930fdd7406b406af10416112aab482b2a899d03f4ec8479761abefa2492.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8005de1b862e35914af67cdbd2740aa394322fba14cabafdef74c91c2fbee1ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/800e20db74d0d720da279649098387d70f85d699ab50f1e3a30e050d1b4ea529.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8019d12baf15a75410146c0f52c7a00ba984ee626b035bd0894a0f7bd917e721.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/801b2fc4fcc5973941f2f43e55c9834814435bb0edfe141f6a17fb38c8a72126.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/802aa5adc0d2334072c22ed7c5e9e8e293232944fcab825ad589c0622d7f9195.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/802dcd4509469a065b3c5b93db52578399234fedf776c4027b33769f0c0470a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8033463af94f5bb58320c142113c41f89288df8e00127e20bc24a30c46efad3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80431536fafcf2d56dbec7d02a8b04d0367edc89287fb1666cc2b4a3d835f85f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80457d4164a86d845cadd53f23f501e0f3dbedbeaeeb7653e2f0991d2ede7d53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/804b741e63a8dfffceb6c2e47cf809b4f1f35253ffda5cc22ae762c38f6cbc49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/805a209055261e247f40059ffbd1d36241cc929ae0e3dd10f5d53e8102679b53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/805eb6a70a91f32c22db60c9c031d360a7cfafb7e2b8f5d5bf074311abfc4493.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/805f076f6ee2427301689fd303be78a4299aced6001b29c7641bf3ab4192b7b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80613529f33b436d11e6f961da3c0686676b9b86353c079e89b09d2416dcf472.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8065943f250e1fa8fdebab393d27a88098279d6f2e0dcc8eabee809414dddc3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/806a06d3f1dd1a1b9e85987f835072e52b086657f675908abda2992081bcd72a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/806c66df18b63644be5e665194fdef272c7c73d7b727354b67f60a2656b792bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/806ff306ffd269f211ec47e68329d4c8602c6a7873e0c875bd63dda38ca19fdb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8077a6d6f50c1daff5539f96712bf9512da7221e8a1956bc3685966304356156.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/807cbddfb94d5fcb27309a654a7d8c310d1319ce35808c203f5d36335ec28b05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80863724b7dda5e52fc6f229ecfa0596a6cc5fde3053474e3d86c8b0c98a21e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/808a5129bbfb6dac2d9f77204bffb64692e335185c49767fc5081375aa1cdfbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/808d344ce2f9f00bdfc1292349e7b18f534fe79a1da07e84ff6afd917ae5b183.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/809383a19967d54c96349c9a0cd5fd81e9cf1eb1acf2031bf6ce4302d1b3067f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/809cf82d0389fdf307ef80fcbb11f97a477d4581e8d12de01b307eb7e616a125.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/809e167fdabd4d112ecfcafd9d09e5354875554aec9d84f0c95d5ffddc0b302f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80a59521ef7a460be0073f0fc61f549ccba6fd37bb6304fb7c5b3111f57843a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80a76d004f85e62d3e66afa18a41d735221a7bfec92058e3eb88b88c40f039e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80bd603c59f54377e14f60993ea3a3d86c497a8975ae60441cc384760391fe77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80bdea0482008773b49759f013990e4d249d7b4770b145671aa99d1a746ae51a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80c3f01a796f49a0fe6a70227eb9b6e935d19426d3ee93091717c38c9b2b608e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80c82ad14e97c052d6b1a6fef66e8f4c8b0bd37fd984bd888359b891a3de1141.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80c8936af92187cd906f6b97a2a7511e84e454cf58cb5c5ad11dfbf51549f314.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80d811e241769532010f31706580917201c384502a206c0a520a91ca55fce3dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80e14fb23739d499c94b5fd0e2132fbdf360ece4ca20bb78b94c052dafdaca39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80e5be5a0ff7afe5ed88b3f1e8866940d14bd935102c0729fad3564d914264e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80e61b6c8995c9ad413ec466143dab472e0731badf8cbe7934e2052c1bc17f5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80ea9d99faae7d97833d67974d46625f7ca338d9f092509a87963f1d3dda6de0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80eddedf7ce275f8efaa42a3e0b8969efa29d557ca0f3a36628c3cdb7ae47575.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80f4c46e0f36bf5b3443cb86eb10beddbb5718498413a0d4ec741afb6428153a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80f677b58786076944411ca8131abbafdceb3e61a667c943c130fc9aa073fc61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/80fbffba9c0002979768575e69aa3e68195b95a5e6fc9ff11c72d296fa7fc754.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81021250459f9558c2e5388323e16020f32828ae1d00fadcf83a260d4b2bc097.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/810dbff5db032241945667abce85f3585ce12482d7109efe09395a81aa007f22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8113509b8ece7e5441a2fef3ee9c117fed19eba0bf690908a129875d8ac77277.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/811b9d9c86219f2c0ba91e87d599bc840b41074ca2917c073c561ee0838ed055.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/811c96e493c2f34f0ad13c05f9dda7f70e237b3503e3d498c7b6423771f1e2df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/812f56a75e4d894a6ce66394dfce9eaf283ca98afe2d5481ef443f665c107042.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8132eeb34ec58df9c42ca3ab98c9c09641a32db4d0da4f243e7dec24d00db215.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/813380ccc0baf01d4d76758b90f1102f4a18f481bfbc228cc79445ca61ac2535.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/813be999c0bfd67e93422092dd41be4387a38a783731ae4779c10de327a1845a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/813dc20b8cedb72ed759e8178df6b50439be463be1279c9fbbd39113c4fe25ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8141d3ed2bb82016b14bee0d60103d3e62f45770d8400a7cc32f096550b12427.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/814d5583cc192e3fb95aeaef0d80fe8566b46d19508433b754386a2f29485d7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/814e37767b88eea613d0913f2af1c9b2ada48ddd8ab2e6068ecd264fb5a17aae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81530945786d479da6a5dcc7b5c8b0953d03ad12fda07cfa305cf288774ecd86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/815490901de02947b8dc6c4d06f5f2c6a1b2e1a190a3dda1f354741fa8dba005.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81561f8d6bc5bd66e2525d594e98a7e266c0d4995e3582afeedbccd36a68c45f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/815b4ec7ee21bebf857521a143c7cd44b838752955f7bed055826273660ed5e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/815b9898b6f526ef7ecceb688e2f486d5879d66a1af37d492efb404588ed056a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/815fc2834eb64ab8b586f0cead4017cd9f9def17c50d56279429e756e5e9067d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/816ee15bf158069c1f1a8a8dd97c2cb33cb2efd10ad7a6208287056fa53784a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8172619fb1862a66d9b6e6708035c83f2721102374c7c39362684a37efe48a1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/817851229eeae9e77e1c376741a2a59fd333e347c4e15a66ffa5cb1675f7f2ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/817933a0ee53dfd0ce69b6123bfdb61da3f868ec498f9b08b6d24ebcaab4a256.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/817c7019fa8f221ee798762f184d3c6b6c9a154f976968b286fa8d3d3c6a0675.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8181db9c2eb9d92b4aada436f014128f49dfe353bd39c4b3a1fc2c8ddc86a615.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/818a8dff9d128104af94c947b222fc25d0f139945fe09d946e4ac1579430ba20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8192d06bf649dd9ce5981dc9f6d8503900cc1ad8a847ad672fa08b657a65e452.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/819480a9fec02a99d490515e617bd8322c98cb61c3a2f227b8e50ed401207a3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8196f028b924e49489d9c0351e10111ed1087433ec045abc53f03f53f02c2c71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/819db58362ba65aeff3f84f44364ca49aa9e436ef248dcaa0c0fa65b1d91b438.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81a22f41c3ea30f11099f4fb0473acee098479c49bf9a8e4bf53f9afa63550b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81a265cf4cfc564490bf2054fb9c87930df5a50c12df59c7014f2c7378617597.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81aa14ee6c06c51e459a9a1042be7a038141edca26fd3fee20d903b4bd19d651.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81ad9f7468c38dd11d90ed9a3bb52266591b3e1073fa1b7e4a515cede5aae4ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81b34e2c3623d811778b41d6b20cda2ccf26bc58b9af72b33188294b861d9ac7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81bd554918b95ce9b7f0d040fd99c5245c6198e29d61360e14ad67512ce51113.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81c3b4649991f4589b308d621736ec562c31734bf2171be753d1bcf55de8a820.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81cde434ad7de94065efcd15596d94c0590383dd8b10ac63a8b3a885f767237f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81ce3803009b962440a6002c463588f5fee1c163f1c68efdd58563916766ac69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81d0975c5a7274d1f2e927716afe030a8355baa977f4163ed773dd439c4ae4f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81e17ffb3ee66d98957ab833e049cc975aa7d35afb276c99c2c88b0dc33ea580.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81eb2478a6332030ef43f21ec0ba29c33381ad9bedd7373d8131d96964e942ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81ef9615956648802fb52ed13ae3bbc8164c20bb737e2862db2099bd7f45c588.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81f084c664507bf04ccc17849fe06d4ea8c674616bac720b8396779b7369eb54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81f5cc53b8e9e5794eaded8637231bcedc89404d9be009cf3add689b58434d98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/81f9889a4d03636e1449c5cd5a3f1ac163a720f57a47bb2bbef7b7433203f49d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/820b119756837b4b255a86e2cc1176f5edcc521a3d674a4c25d22b9c7f7997a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82166e2d64777cabf4ab056a4cf3e28d27c9612f50bd473ced5a84054b1d09a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8220fa4a55271241ba41a3e5ff2560c43ab14f5362ab1fb6c35c9983602b2dc5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8222862d07eed873359f735262a2dccdbb29ceefe2f8bab6d8a5f50aee5484ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82289d1315293f59471183a3504ef2efd6f509dd846a072d715f5f27c54177bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/822e9e0a652d1af668475ba466ad2f13e25b6310c07b40c641f16c0f34e39b00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/823110819b6df55a4ce1d6d22027952af7ddbbe727d374bd6d249ba7424e4741.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8232630d8622c4dd2592e8d08e8cf91471381b8fb5a5c47a634f65db21b70d57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/823a4a861f690f073e8c29192503bfa69d2dd2a0187e3b4f94ccab6b76494d81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/823d1b1e4b1195d033ade0dde5585bd222fc7afd752d9c9639fc0068b9aac173.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/823f3066728e37878acf9cad9202789e0d7c948f76ed49f9f7dda5a22fa3bc9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/824727819c2f4594e937d029328d60a5a17f2f92ec658e6ea8aa79495d50d830.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82620c4c47970ac9e8fe76fc3fa3a4194ebe6bbe1ae5068f73d16f80e72c9abb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/826a334153a8e18b345835ba9fc081c0db6f671734534c7e8c12e9c8ac973c6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/826eea69bcaa1ae33a2c9e00fac3402a49653fcae79952f2f4877e3aad6d57ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8273f906bb12f6834934f9ef364571bcbad319ae8824690d96971d73b60e851d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/828d855ec78e42c3cd6901b266842bcdd5384335f7d95cd6990675dc6cd2c0e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82906a652d21bbff4f2a49d5d73d9482cee5a9ffc5e69cc38e68b95504d3fc71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/829abd33b84732216395fd5b5f947fca56291a898b7ef41ccb208399fe173b49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/829b77a2dd9c74bdc816efa6853c46831d9d2f498044289b5d09d69f641a2b47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82a1c56bf7e8c57870b3cd4122a7569003ff6c3b349d9465ee1df783d2039c10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82a2a7ca48617f9ec42f691d6e0e90fbddedb02e2cf185e0494d1c11d36a94ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82a63c380bd348ffec90c9fea406985359881f3fe2493424b0cbe3fc39be5d48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82ae4f6811d4acc19e82448400f6ed32a146e19bb087e7ece51be96255846047.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82ba62e407aa9f8a9d96da4dd54dc842772646678a9ff0b4de014e6ab6c50c60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82bc3f086b50532d7dcba6910ad32aa256ef07d8833af29f7cbcec09aae06e94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82bdea3c57b9594ae15d3d9ba9ed0133f3e3ecc30b127863de4df6da6873abde.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82bfc8f7a7a99eaa2cfc94d8ae92f47b6f5ae590f2f85c7f6dab08ca9ca9d76a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82c0ee4c5885e7bea4cc9880f9b967723f37d5ebe2c517542c0034904ef52523.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82c4fb01e64bcd6cf4e93b1c9dc03f3e89903f1912000b1c4b17852da44cd39b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82c5b3849e568b3cee9d9cfb9a911bf45844a0057c5944d14c57225c0aa65764.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82c9536ab51dca6047b20fb045366827877b3128b345842f0cec4a4e957534f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82e29924b6d5b00de5d3ebb599ed4907bdbe06e99db847ece49a0509b89c9f0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82e884b81cacb3ce35cf7797135810fdffb95f304800719eaf3c7835a2974e1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82fc125996ead56cf5233a111bfcd5ee1f9cec31479bfc564f3f2c21dbeca3d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82fcd8279673b005252f87f8041e1c038352797a04f0ae489a4d998c5c64f482.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82feb1852bb1f447e917aaceb6503f60958f4d80b05c4cc13cc43c9bfdacba11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/82ff41721f59915ad101f411e4d89b54f1b5ac71394c94f800537439c8efa957.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/830859e814414a36ac36bd4341504fb03834edb56ca741fc96a800990d578eeb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83107ebe67d55b7a5255cd7f88d3c991689b60456d2c12207d4b260e3817b7a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8313952ab098862319a7aa63ec46214527706bc12456d2efab6a13fc13f44591.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/831411a5a98d7cd6d19c9a7f3db727b5321339233dc6f04fbf7e02febe254eb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8314411d8bfb6be87a84247dde86e57f2f669ac1d9a6336246d6297ce1b932a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8321090b489ee2f600b98d6a9dd302f59223019a8758f4cd696803bb70f1522b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83227a01f6de28553bd3ebb25b73439182c6a0aa05ee9bab65a1eb2ea9469c11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8328f029635e0cded3fe0f0688b2bd774041d815f7dc07fbb2173a4f2ceae925.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/833370f7ba2f1ed513cf8f0e995865db9f45a8e8175133f781fd0d9c3f4e6240.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/834015b0593977b88d0e9388b13411bb6d1470b5c6f5df92a0a1771c29cffe95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83405c336ae3bbc639b9f81e9ca54058737160b22ff0172e735c4a23d693dfec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8345f65c71f300c35214c31b6b54a1cc2e976341e2d483250455e96c9c48abe2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/834a6e9b00e619ef74ec9c925eac2e2f61f3742b8778b62f7932670cb673610a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/834df2181d83854c44a50cda97df3915a7e517a277139839eeb450bce66104ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8355e604b03364530873299f2742952fb5433841db0bcde43e1317d284058b91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8356b55354d38358c4a5d8e3c3b39061a457234151ff70082ee6a164e0dc5cf1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/835e41e681c807251200c10a0b274c57dba06f71433ca822f4d06a9f0089c2c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/836a36cc7e9d221b426641e693e3c322b49779a4f3b4cf673dc297ea9823a433.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8371856c63b6d3aa97797b3e3d31ad28f0e924251102a256b0157f77b1268156.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8375110345b30c12bc5f288247cc502fceffc65f0091e08992c0c7dd3bcc6319.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/837626098bfee3660cf00c9b6a9ccf857728dea26383f5aa01156f7e44f9955c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/837769235c1419c2e00b4c2e36b334b1eaef0458675b31c8a103e83afeca7ded.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8379a58aef07073abdc637b1ce6cf655645f8b519a67ce2a5082f49cf5574355.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8380b0307ddb0168c9a6febd0be028353ab2700322797980df401a53c31ef232.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83864292ebd94bdf81e4950dd4cf2944c018287ca9787845b8b92dce9e2953b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/838984bd55c269f94444ba961ad895c4065f30a97f9d5b7d10e34465200ddbce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/838c359fdd0fccebc4383ad5068db9739c4c9d5b2831013b530993cb6e4f2600.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8392ac3e4c0940e35fa8f96f9d1c44d5ca7600b94b5c76d873d54e065f3a6a9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8393ac8a29cf5493d428d5de787a61e88f35c4d13c5ff10d1f5c003aa95efc86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/839c64b0580e9594ae21a6a8051f5f5054fc26bf99143becad2369f4da8e8b20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83a10930bec6ad7b6be0c5c30c591d968303d3d841e76ac2ab9a51adc483fbb7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83aba5719fa9a1203988ba282a18385177245d89d548709b7c5b45de813ffe5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83abb6515439f190c093f5e1dab30f3091c6f7ef8dccd8b558a4798b95dfb931.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83acd7c31650b160e0414bdbbbba9713986c493533a6f18c7617dba43d4b6336.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83b2820e056a8ddc56c363bc4bc870e06a8dc419643bc0a6ec040d47a2ac9c5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83b9140b386ff49dc30e77b28e0f41280b7ca1ac4921532980375b55a06fc5f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83c69b21484f0abe6c321e73b79c0ce7d715c02441309fc8e815f89837c9ec94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83d219c618eb066ba4c2830bca1ba97ef25c6d60b83def41c4ae8fccb7a63806.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83d3b7c623d513f1f7c2fee8e3f239989044b000f043638bfbec7e0a5f410b03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83da01c4ad0c3ced26f5cb604026a508385f3d309f7267a4f585aca992897b14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83e56349ba13c26ff632c6d9aba7e718fc5b99a7b06df844fd6dd9cc8c8907b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83e6c17470fd3bbd1973e223a78db7e47d8cfc9d63f32e3d78233044b0799151.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83ed51f09ae45ed677f74aed94403d8542fd5a827f8693502e7800bc88b32761.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83edee612d27712db7b60d4aae82c308d437ef08bfc4875347933734a23b7461.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83f162b67f9bc40e76c771c6f8bfcb2d5da7cbff871009f9e187181bd0a80cf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83fcf57c8c3c9b0d4915e1a695a77988397a5ad7321695ec328b0dc58a07b1dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/83ffdb88a76d454dfdf7bbc68edfa6c6e6ab984ed8034c0c69069bf7446f319f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8409df389daeaa32eff011aa9dc71e1104c967bb23e3da1ddfb20dff76e85055.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/840a9494530a3b2af402bf5c8c34a931664bddfd1e8acd99087914374abe9e28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84102e8220254507f22fbcdb95ad8153d8676ae276446dade36ee1188906e287.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8418f3d4fcac6eec4463eaa2b6bd6f0c74fbf35d0de492f020a0f870c4b86c34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/841df9914777c0c9fa1bfe2d9ae5d1640f3ec6eb6f4a8d091773b3f60a18a393.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/841f0a02dfa6229293a2acaae0e2875f5fa6c43ba3c6f85291247bb2f4e032c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8427c6d091ef68869f6db983c7598849879a14acf8024dfedc0483401599e081.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/842a44211b4a6f92ec9e84d9b02338f1fd440c113a7498102e95eb3ac20dfa7f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/843deeea7bca0032bbf83a10a8c25f6770224faf9cb6cb755a160f95e9ccf46c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/843f664d9e141d616b9aef7c850bd5f1106bb35838d464dab05d6cb61bd123ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8447980286947185b71673e65d6c70d7afd9ded627525b8b939ce65a821f5c53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/844807dc547a9e1821d75bfa97bfffe34d42b56c5dc4535c4d032bf7b338eff8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84493c3e6bf793b45454cc087d66b4371e79970b9ade826dafb7ed831b0cf4ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84533919396be7bd85f3e2f7796e704c8286b5811c541d397d912eadbc6d4505.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/846e4598d42b81b604d33083a89f8ad358f59e8b8963cd205446913246e1be04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8472724686a19624e61a6e3816ceb0b37b42b2136c6a20cae0aa11ad845b4412.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84745ca2f7170e10be71d90e13e67d9903c8fed6114906ff5cdb90039402761b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84751f2ecd2bc40f2dfa32a156918ceddff63d002b28e8ec3468a94b8933682d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84767b1e289a84e906b169b1d6f20bd69fbdbc9c89cb9276e5734175f1ddca29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/847876a19dd7217ebe53d4142ebd4ffb1699bfa452b8ce9041e8014ecbaf38ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/847c6add9e6d2d6931fbdbcf3509996932a91f82bf3a95e4c3d2c272b98021e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/847f8cae4bf417d6d86ba958a75826f43aa90ef31fcff39fa8eb3f12a7aa2639.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84a1b3ae614d7a181ae1b371059947c6bfd90eb5ff848901c2ba9e36a2e6d2cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84a5d3a548c8fe9d21ea3154127921233a5e9358df4c248f8b96acfed382a728.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84ac6d9398a2e7a55e6eee63621dbf58c72762c5aeb4d24113710b8d23529a98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84afbcf53c23c3cb1864d2dc5dbe7151a373f15a57fbcf84108476e4eba5285d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84b4b709422fe9c6d0353df1fc65c74ae77cecd9aea58a22726b37af057447fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84bb4df196f497dec35463874189017cbb00e338e37a0b92ec79706d3fd37702.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84be950202344880b312dd7917664a7e3395bcd2ee8655e72c80483bb3e62f97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84cec742e8e634b753870b1a2d0f685331b43332c937b9d478435f38b3cca585.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84d243c237a07806681c9d4f387cd6687390fadadeab066911c3ffe508555190.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84d6c11ea10b7ad76561cecc650e3b79c4fd59476018f3036b7130c9eb14feab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84d96a1e346d46e98a0f139345354136b8cbcd8cfcb4b602dc2d19b3e5b51e73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84e2d48aa249c51e0c0f998c9368ad58761404a5e7ada44d9388a4a0c26cca4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84ea39ee78528b00417205c8abc4ef1e1bf3ba287af99505d625f3e609622f14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84eef3b8ed415269ca8a416c3d3214e884cdf2cb57832741c5e101f159d1cda3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84f0ef158f9fb27c35b9a48eab16cfd3379c6bb5e5406b47f43d7d8d7ac86d21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84f2c62e392758fcaa28673ae9f9f601ce73975c656ae80dc28a1340a05a8628.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84f3052b6f13ebf693dbaeb37925c62058991adbe7abe9e741745d2c9c2aa8b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84f6f0635ed43d632eed5b2c966ea9206383b467dbfd2cea9c1428cb9d45de54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84fe6fd5bfd9d7690e9b5d70a4147c9697436c642cf3092d0c2fa0b16b95d056.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/84ffd4bf3a85e12615f8195baed0d1ac606102720687fc6caee90e8b2e181617.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/850588bea41e97583397093c4d3c49bd5184d8b27e75f43494c57a0fa3e387e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8514176068d89d416a71706f0e1b74fe73c8d7ebfa231e18c733a0fb0974aedc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85197601206e8272f84595ffe3e32a8672295845b8d10b7df1d9a7bea58398ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8529f09898e1681ddb1b872059f18c8ddacc546503bced7c80caa00c65c136ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/852e408d4541f6cb44d2e0e1bc33af282db22718bf02537f670fc31891ff1478.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8531f706186e5085c8870282c2cf9c7fe672b83583162b2b98184cec0d9a4ec0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/853d366e341e01790a9fd03d6894ac4c5cf7c50cd0fd42ce4406a300951adfb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/853eb5156e64d0fcf478af6e4fe6a258dd86f4ed53645f88a7d030924fc8cb9a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/854964d124a9333e82479af5ee7d0d6f0014c860c5d6706ca84e86c5c9b2ae8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85548a581d07b9af34047c87c56334f2f5a096b97235c03162a616da13edb082.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/855a61ebb554e3dc774e4e3607b3b8b8cf5e3be4cb8fbcd9ae84733cf4bc1260.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/855e75d3aefb307f45edabd6953224c01f6ca72182964e5a53bc7c95c91c3306.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85622ed4e9a5b5803324d9c00a3468cc884c41c6812d88948998b112504c4e57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85717cc192c0eeda2642e6b414682267746672341eb24d35406d34dfc46978e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8573081d873f41e42c92427b5d3ccbbac0ec45e1af2cd92ba16d603f73db25ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/857f5501837f02332317f04fccbc92c780bd38b3c819e28700078dc3a0636d63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8582593c550796e41ab8ae809b9840be7256a79c50e0a9603eeafcdd9ff26cb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8585fd935ab5e4bf7dde7ed7685999bcee349103112e51af8549c3f95ce14bd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8593f10d8ab08e8cea7fdd2ec7f24b4f6c555a8132c31d07e4d88fd92d8e3624.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/859c3f06638701665640763eed6c995d60e1de3fa352cb7b11f5091b05be5752.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/859eb0b3bfb76096319bb39c97de3b1cf883815c44b4a2b012ea44d04728265f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85b0a63b485a8fbef2dcdba12ae453f475be93a453d5cc7248417dcdbbba8a5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85b1e44ed38751dc15a1c86ffac4e413504cf4140212a6a6959934f91c7c5991.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85b245cbc12ece6fffafef7abbf66f24397e68da3a6f3f6818d76a2e88ded62a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85bdf05b72f0c325dfc505c18a877f12b94b7853f5947dc8a46129aa901871c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85c153c9b2a7be5862902b5ed4f57bac0fa81b935a8c7e65fc29284201d8454c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85c6094a4c033d5750faf9af9041f16eded80c77454902406844cebb7335e918.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85cb890d8a92f8d8b00ecfcbac9a3c9a7f23e79a2a7093017a9f4a7954b08d32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85d1b600c2cd0706dc39ae7ac9fa0704abc3664856084e398ff13d6a7dead8ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85d60b6f86583b87436b7ea47a06098f1e6148a0fdf0aab6311a233b6a9d39a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85d89cf5491c52d0eff0316a307cfb8ed750d9125354777b5951150d62b0b70e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85da9d7537a17064a8231bcd80b9c4a8b2ba531222f8fce172ed2818c6b9834f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85dae6efb2b000ef7bfefdf427e72372e9a427506d6541fd11614fd2b8d3eb12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85e7aebab691afbc78a6c45078b2bf3e73acd5afedc3b1b117602842cdbd68cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85ed2701f58c6e9f56c2c92f48a0a2f5143989bc79d83d6bc2b08d5bdb022d64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85eef9a886e74da9c885a069a46fb3e9a701ea8efda3f547d7632750c48a7728.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/85f0d81be5a164f0eaebb173d7523697c8df3c7f56102c029b7621448dc24ea3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8601fc0e5ed7db78204201d742bce1647ff02efb4b08ed14d7d123d994369a67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8604be966621c271c97d19acdac805b766621c7faccd2ff7e3f3f20e87d8884a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8605d161945a8b1cf50b49a88762ef9316115e345a15741cbd6320aad031e8df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/860605983b193b47ac422cc5aa8050473468bda2f1e6ecf961ae7184b06f71ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8628c8efa0953e99b99ff93596f325336e9f79eaa343a34ff2e09021afd5421c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86305101d487eb67ba577dda5f0999d83b96e0105d6c100e7ceedfd094fb9f69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/863890e73462a6a16fbdf9fd39e5a24c51c30c35ba2956a51962f68d7e580135.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/863c22e643cc9b1d9807f15358f548fee517baed77a630d2a4f9e9b41b4a90dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/863d7ad9b3983eacb20edda456bb6ceabd768dba428ef7aec95934ab0d024d0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/864df9ee52010712c73a023ee2a1bf04aa37cfe34dae91ed5d737098cce4e62b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/864ef1d0e55f63b5e87b7578173465381ca2130c00be574dce9855878ccc596f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8652c13d8b6eb6ee43607c49afa35983a25dbe891db8854deb75e76c5bf95628.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8658be7ff9922e3d5dc1461e644d8f87a9a8eb4668ba17d0c2ce55566095b7ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8666af480645e37fa32fd516b68e47a0dc75ff0672e8bb4f32c7ca073074ae62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/866c9183705fca318f3d5507080c4aa9fe0c34f3543849f8909430befcf24c53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8682979460d04713425e14758e13f6f6b329dc4ac27151b090122f1b46bc896f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8688a0c2b76593e555e6f99b887ca780b8815fa39affc1a0ae5cff2b0a830392.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/868ac12d4e90b933fbb142a6546a9f89895b10f4fe6d4358802cda943780fd15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/868dbe15898e8c9436c50e7daf451d488bdaaa47ffda9d026f7190b8664ebab7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/868f5381f6cb6f910b394d6becbbbe1c8861dc0484fd2fe97cbc3acb4eab0de2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86a04beccb00e9ac6e239a68b4c09e990e5090b88e556acfd34ad499112631b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86a8caa01e477e776c901adaa6acf521989f84c80db7894ebfa8bc5edc5b9998.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86aa720664cb78d7132c708a1e4c03582c8863635df16fd967a9acc29986d93a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86ad97ef046ce8d0c95a6218c711231b8c96ba2a364fb161c0626ae1e70f397c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86ae34a60ac1e674a4ff503d43c5fab17bec7cccf61e8876619446381606dfaf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86af20bbb6bab6fd6bb0a6620c9a783550ee7dad91508d55498f2b869b91ba61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86cb3f63b215b818959576c7f3a3ded66b7269cc83c4b393816b1c4686000ce9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86d0f02ef5f729ec1e104570a08f5a6136d9f4f8141b675e04999f4b225cf180.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86d504453620b67e6268bdaf55e5ba8fad67de52d2238d354847379a4cd1bad5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86e08b648f2293246ad796adbf93c3323f36feb18ca54c7bccbd5cefc3da4ac2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86e33a913e8e0a56ab8e084357f3e0191db8d2ff4fb348627d78a353fbf8139b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86e62d77f18b311e6c682d9ce253ca7a941d5382e0e381034611d44bc6cf0ce9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86ecd2e13516b044210fa19a56f7b1cc72d44860eb8c3d8ea9f249f76c8ae8be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86edc5bb6dfb8f98fc080ce4539294b3b1203b5dd72220e39895d1e31f7b7bde.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86faae3ef375660691c93fc47f6fb29279b12291021baea33e501c4c2b032a23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/86fbddaefa273ae4cda3c73415fc0c4114ad0fa0671718d4a6d5b039098949df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8714f490bcb233213b01c498cf0f96d548ff4c5571ac3ae4df74a784c4e3143a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87161f889c4220f85ecff78a63a1d07d664cfcad99b0e78c2d87237d82e42016.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/871b679bb1ef443c6ed5542d93b660fd9c581bd27165e79ac1d7076b6d6e61e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8722475c1fbb906058122fe963effce7270367a661e732f0fe2836d3c863775b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87247e4c9b4241445ca87f28f2b79e1fb9534a2b9071d44fa4cda7880d3d1f21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8725073d36fcacc88101b1bbb2f35c919c532168c162aba5e86b9d69f9426279.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8729500167a9a33ce8d15c3129eff12c6ab43b6b464d7cf4829afc517c03d046.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/872b27b02e5ea7caefb2a8350d545fe29cc3ac5de797cbe95632d769507195ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8734585d36b5adf44441e16c099d62d2a054f3650f4e9a55c5f271147aef7949.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8741738b5214bd55e084259a4df9f528b25db15bf528cc3e3d41cfce64516e44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/875d6f1d62e6e437599898cb3088d8c0366e93a92dd33b8674eeb55950d97b66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/875e79e0ae4094ed79e3359ab5078beb29a415e6fb544f887e26da32c9a86abc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8761373e822331096bf0bc19c3bcb6b3472dd6d103b7905648d3293e1acc6bd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8761d7ecfb30620e53086ea50c783810db1d1679c2c682df683758a9b0cb2edc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/876c89eecad3931882e2858826e7057e01604cf9c5320c390969fec77445a90a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/879b6b685d6e7b797b2197e998ef0a63ff012c1d629d15c287fa5f9d88aa9d0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/879cb8cd82ea162478058b12f66a55ed082cbd95d23c4048c6f8310a56a2fbc5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/879f42f1cc9a469900a46b7faa30a4db00ce5441d100f7ea91ede81f58a501ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87aac824a98a63e39886bf0d80f5aa51681eb06f2c32000a42386891006ef81c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87ac529b64d59728c4ba755f8dc4b1be6f935c4bdd280ad7d850fab95d0120e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87bbe1d9b8df8b1a2abde9788718364db18e63f4f5ab006f5d302ba491661813.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87c29a9f7d57ea354e42c9492af483b54b6252a85bc1382b004ad546ec00fd82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87c36c354f7fb99c51924309b354700cbf1f9c71917d201b9867777ba6a7021f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87ce7a9ed858f29eff5e453fd33638cfff70314cfffd1f03ad2e3a4317085aae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87e3815f66f85a3f528a5ec42d1961d1fa305e088e1c266895ae6fae8b41a5b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87f0e8316ebca897cd1045dd5b39b1007dc2e488eea4329fe0195935accf1956.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87f3a12e34a911aaf3103bd72f367cce64926c74ca2833a31d5be9c2b4f8ca04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87f7c6e8eff9aeaded6f3b0532d04ab7b3bbe8e726651b3e4752b0f84f129d4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/87f869dce1f7acd055a2fcb6a757726dbe7516a0bce8d96791cc97a1ba5ebf3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8805b66bd7437447b5beb5de2d52454edcbc81069d5d8888dbbc0bbf07d2b184.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8814792d6530dfdf48b9e8bc7acc5edbf06ca3a2182f2a7b13b201125bafa1bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8819ffd6a2af80572cf0b3f4b1bc80497fc50083aa909e853987334e23c4f5c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/881d7d5ade6830590a97d3fec6cc687c78177f3f0f262fced4a5bb86c1561325.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/882c5234db8c2c3503a57840c9c8c2872acc5f35b65fa9d5346b063da09264be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88334807e4c8571f6f6c44c844c812058e32838973dbaf249c6206cff91ddd51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8838dca63ef3896d19e6c9f949f35e604bdf2f7461e1e055a6f37bd4c14f7678.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/883b10846a444cf9a4411ca251ce0f36b527893a7049e9acb30149fc74e16efe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/884435d58220a0b224ae2702f97092b058c57dcac1c59326bc47cd003128f4cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8847b75b2b57f7c552b06b900170919286ada7d61b1107b970a9c0e5c73aab35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8848327b0dbf194ee86e0d4bc83191f5bd0738492ff495f8eb973c13a8370d2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/884da5a7f95e10577242d39b0398d1ce244eade5912d7c8c3c9ee8451d86c738.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/884ed7afd10f79009b7b685f119dbf198f5bc28f51725d853a6ead6365698673.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/885c8fa8d257e4e7a4caae3605df28d8d11a036d507c4946f92f208663e342f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/885de50a8f92c4217fa5dbbe64ea289a378882d48ba2a27c3787ff591689e0ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/885f86be7bfd7c8dc78826f6116ea0a1c53a99b0f86c6cd24e913c672ff63c38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/886545eadeedb5c4f21718969649a87ce7ac036e6ec725dcd2e5e9f283b90e62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/886d36a2b5e8ebf20e5ab0adfc8bf30499fd1fbe8e8aa08bf5b61258ee57b352.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88701374aabe65e6e6d6678121159ad30a55da57892d19a554060013a93ebd4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/887293eb6df762778a2d1eb0c2734b5e7949cfbb8b2cccd69699c2173efc869c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/887997f1155ccae53a6918fb75a9cba0faaab0518e1381049a20e79f39e78d13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/887bcd6bd1e04492691b722efae4a55796104a81c865f9def6f545893b4c411d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/888497819480bf0ddcdb53ad2d613a21a92542e572153d149156765465d3c555.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/888a4077ed1f5b4bad405b832523c4793c2fb7959ce941efd5c06fa9b9697743.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88997610012c5784ac4f99d95ce12cd926aecd16f20e53b679ae8f18a8d7c4be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/889f9f333aafc78ba3b744474164ae6a6f434b984ddb535e265d37c3e8f3f885.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88ac9532cf139f110e30450c818d6bf29e39b84480e50de90bedfba9fac63a8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88b7b529e505676a6cba2f522f72a8403d6c77ecb41cff38472cc88bfaba98f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88bf84759941fb2f98da1869d9e0514f750aac991c5169f04f1c01687e405e0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88c86b7e3b54a267601bb2365a752e12567a509eb25b26b69b757d2eed45ce19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88ccf392d936a085fee4d6b546f9b42e715ca4c01265a7e98daed4a1721d0a46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88d2a601274bc7742e7930442f47fd973af96d7e4b0b5eab7f9b36aea2348173.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88d7d448ebdf3a727dfbcebaf87b6a91a370791c63a4183096249a960ddfa3d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88d7d76499993e186605a9166fc2ce20cabae0cf2a3cc671b4b72af487c56716.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88df7ddd41c0066460bf19de5014ed32a926c1233482d4afbef2fee5dfc8ad5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88e1421e9772353e26b7ef2c02839cf4db3aa8c1ff723608f08d3a5dbea036cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88e56a2fe9f7d7fc8a0dd894e37f67cd3e1ba3241fc73488daab48b859281151.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88eb3f5ef234451440ae3dd85f227e78a203989142ded2199a92493f182dedc9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/88f075a0cb4c7662aaacc231b881d86d6c6a434523ec29d78a3e54d20a529571.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/890308b1847110585379fddac6a84126914b6eb5404b7ec4072f9e7f99f2c52c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8905c19947e0b73ea2226a1e591fc5b92425f27f04feb37f9506adc4bb710259.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89072027b27e0856f3da175f3c6478508042aff7d835c946f66dec11ab94058a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/890a29bfeae64f7472f85217f9dd73f398def0e0d874e83e54a411a479821a0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8913169fa081673b15aa3abb02c9eb9e9ec460b3014b210df8264a227a3423f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89148c7b2bfda122624a91888d88636a5603a3c41d718a5edf78445886e10faa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8919f10bea958e9c7694b46b3a071738a48c61e8cc2d642488b9318bdb215dc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8929c5ce3f981cfb08d64d13f224ea885b1b2dcfb53acd7b48aaa94382460537.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/892a38347dfdd2ff9765babe9c92507e71785a912a979eb9d330984adba6da90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/892d0a17b1c88dad1940d55b0f721b6a20605a8669aebc54ba247fda159fbf91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89327020ed979ba099d1face931f0f7cc071fddd28ffbbba2965d18d198dadfc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8932984fd617556e76da161d88bbaa4ec46bbbda030aecb5d20a81823c805ab2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8938f79583e9e0914147610c59155d2ae5cf250f13bacf36c96f1a882c429da9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89393953e8574640dd9d82d36e8c55d2416f086b5e3e73f2d0f9a3bc019cc811.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89570dd058ce05c04d5b6807ba0e9c9c02662a514c70db3421bef8e68f62dc97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/895c30a129f142fa41679deac1fd0e8976b242fddc03d7f02eeb25da474c698b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89619e0d478aac43e15deb3c1257fb08f082a88ee4ed459352fa3cea36c8808c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/896d0148facb236fa76981b40462eeed9a2f76c21fb1761264648107a25b4ce3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/896e4c324a51a0c82c8c96380cdfc5492bada3fd42b56dc892f759cda7e76494.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/897ced6ef66e99246ce4da203ab082b88264ed37882ba563c34201cc82dee21e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/897d6e01d8918f66610f6e0a5ea511efe51f389ba5fff3aa3ff2d1110a59ad43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/898cc1f2e07ac58ef6066b577c1b2d9d9b4c73b644e74e4e18bb779b0f87dc70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/898e138ee365028eaefbf40db9b7047f10f5e956e2f05cd41ec4b0d242bba5e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8995efe8ab1ae77928f38691ceded301c5d1b6c9708e950972682d7a9b2ebaec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8996b72e2c441ee0eace20f69ea7b5cfa693744255b1c1d6137ea8e893f8fc03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8996db77b0e5768d6b0909ac60369f76def39aeab3fb11a289a3bcc3a43a9887.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8998bf38bca3f734d533bcd4cfa5e0758fa73c28725382f5d1c07ee1ad56dee0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89a3ae6d66b16784532d8db2af7ca105f32f7064980309b193b7fa667ce439cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89a751af7eaae1a127f88b3cf856343931a407bba954f1d7519c2c7ad1a6141e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89ac38edc541251fcc41ad579e7f615b6856edb70df9c1e975c29ac5592af6fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89bb27c5312ebc35fede1044f5cb29e65eebc8149d0a05b637fa0a897cc240ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89c70c3745af28e21ea2f7c523f40d12e50101fe6ccb88795355bf5ec84b23bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89c98e12056bfd6671fd528d633a4ad61d35d6e8da5e01194f49fc8442b797f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89ca9f7ae4808f702164763bfbdb8a24bd8aa878d7883f89abad3e849adfa0a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89ce24fea370c4e48e637f346e8cf9d17a4fc47913eee6aee3b347cdda2b1fbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89d8c2100904d37afabb225e8112aef55d16983e2280d58c2f3970c0481616a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89e0a417036555e892ad0369d6b876266b3273ee09dd9f48575e598170b3591b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89e1d95467ac34aaa4b19e34c86f4c9b4f47a6e5fd18abc42d4b1560649a047e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89e1ebb536842c32e34c1dfd96ddfdb3cf5dbe164f7edf5601d549a60d5eff45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89e8db058e4d36e007b50f0ff4fae623d031af2741c21914834c06a8bd7295a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89f09931f30aaec895721a1a950be20d4e31f8856145dcb37812dc0016ed013c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/89f7cc62dd32bbe1630e23d47b93b1e4dd9100bceda6bae8b3845c1746a38216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a099548cab0eb6feb5ec8ab7712456f43f734c47f30ceff54d512c65d1b587e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a0d594c06561e0d948f80e317f8fcc9b69dae5391e11bd576862a9ca04aafe9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a0ee2ff56b0f5f758dd2423815658ee279d5087db46596f2b50f4d950cb2afb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a137f212ddab2079e36ce7c35e69746e74f05a407a192892000bf3d79cecf9a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a18fb8a0457bce668c2d52fb85042ad31ab2d143b901d94c5cc469f143c7218.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a282287ac6e9a882662fa3d783c74c38732148845ec6b2d99e391b7a7d2c7e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a2b927e4d4347aa7866566724e69d132440da7bc811f6e0ebcdce23d35e5bd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a31aa0dbc101008d7db5dbfa22ef384b158db912eede848835957e30ae5ef03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a41ff661867aa866cc81054651d9804a7496f65e25349410069d62a4c71aa82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a4283fcb00108e5c78f2ba85dc0bf78adc994ae2c895b96b8bc882c0490d2bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a5633ae52b464df261a30e16e3b310460b70bb1f9df204c6649eaf4953ff7da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a5672202f5422557a774f52d88cd7eca4a5b285e9b5d56c4e64acce238997c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a5703464301a1740d227e6032c05cb7387e121a25fdadafbc0693c2d6047aa5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a785dbc4203c92d2c9bf080f4fb8505089af78e9a26fc2f39f2e3ec747b8ed4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a819a9de22d05094dd6be4646685c73a98754120a63d0173ac6d1a0e6494c55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a8763ebce405dcc408d219465ad65f2185b31651b88601fabd4cbf6ee3845fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a8a6bf03d97e088ce68ad6761bb8243a2eec7855f01402d6e568099d2ae125b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a90139d6df3e040ff1f9163f282b4399a987d99e1777c1438c0ab7eacd27510.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8a95012b02f68ffc7bd21aa3c59c7e83e5e52e910017678d1ffbee91c36de71c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8aa6b41ce63641344987cfb91349ddd221435bb09705e71e613269e1d04b858d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8aa82b5e1177643d59a6606137d2fe7d0bf0c43861f4cab1fa116e015c2243c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8aaebac1be554b245756d1cd71721e00f3161edc3d1f03a8d77948ee3de82f71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ab4b5afbba2b400cfdea899298af282e8bc85578b6d8a804066b94937cfe28b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ab6a93f2e5111ad45b28f16dda0d4bc9f2a9b55e7e6e22fa0d20e41bb572855.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8abdb43d12671413c677014ef181d45ad866731b0757bd141dc533b709d76d30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ac5d49d82d31e995dbb09bc1e4e2c886eb687bd2ed385068d65e89cc20c1c75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ac87955e115f835d8b74742dbc75e605c932ca9e4df07627c7e5e57b6bcb287.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8acdb1fe46b074324f399fcd4ad6c62d717264e882aa67d1da7d341c51cab3d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8acfa72f9da07400e9f22a6f201571f0623ab5b154ca226d20032d6aa18dec09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ad89166979287ff861382fcc85e29837e749a5d20d58a2530a1844693fa2c62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8adad28ef8cb4330a98cb204a0fba0bd8ee2129ea25dcd59d78fe0b0e4a4dac1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8adae9ab118df5f244ee192fac604c943b26bb211e5bd7c32c58474f4a90737b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ae107a6228c87011b73ca1e39067c7d3fbb564f0aa97feae7c899bccafa40de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8aeb3d773e0caf36387d500c03e3ded4fad2fd15f705e22eb1b2999d944c714b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8aee77c3960648498fc8acf2849200c91f93d7feec42ecb71bf4c82a4e83b28a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8af15ac81e5502160a6731a425ead3691fd19d37c87b75c9f7a02182b369416a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8af7d452ea2356c0495d4c129ef8e0bbaa7b92b438c1a172305f6fa1e79d353c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8afd21d16548ce9b6b4e8382baa3e4592f675952c3982a24a8e33b51d34d03d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b0d281e636e289235e3f8c480ac872e3b5bc513b68b3aa58645436df3b20bfa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b0e577882a5cb6bc61d20cb213c00f5af47b54dba74840a79d63fccdcefa71d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b144abb5d12bfafa6ab72ba362967237d23eb4d41f95c78f598a9beef46e1b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b1d47bfa9b6eed2e2916a3c0ba7959b780c791f28ae640834afd31489448881.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b1e73b203f58573523ad3fe86fc05eb966b9e378412100b5866d122fb7fe752.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b1f2fb2e305db70345c60441d339153452446bedf4b99b358e7f9cabfd01e0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b2a73e844168463c96e3fea197c8c9ac104579da571eaf63a3ead5c309238da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b3d4946fcd68db2198348d91cbf84b5b109aae5265a75b11198930cf8118c4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b4f8ca2965cf545ced9daf5ffa0c1d2f1b7eb09c7b876c9fcc8759a4f1d4eda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b51bb832b6d91d09728c6d12cad68ab7d74d85bd2400b46b423c1f619b81310.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b5693ed4ffbdaeaa40dc8d106aacdf05460cfe95f2ca0a31aef715515599387.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b591d3b20b65843df382e13bce577409f244d56b457df06036b3cdde43ee8da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b609299fc146faa2684fa93d1a5e1f5aad70e99a01e95c526af12549cf6f33c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b648272b888e3f04a7c845ae34452a38c0c12220f5b357c4eb32812d65d91b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b6527501c432be4a326718b7247892c2c4e508cd7e45d2e0b05483e650083fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b8084668de7df3f99a4d2a936689b6d893bf43e632ec88c093d3ed247f9d607.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b818a9b40572199936fc63bd246f8283d0d9be2a9bec85a62bb31344f45d7fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b841699cc87964306c4fce37da84a268f0817ceec5df3f64aadb6c5bf7d22dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b88260df0112360a1f590fd3a3b747cdf60c8b4aed2baa7cbb680c901b0ac52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8b9df26d714aad586958afb86dd88bb5f070432c255126f108cb7e62c8524346.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ba1677beb8a45a04780b25ea894eee43fc71b18b42a30c6af26cae276d199e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ba4ef3ed3f98662ca9d8e2f93f8bb55f5de251b251b590daefe48e967a7d582.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bb08be794bb60fa782b574cbfd0dd10a4dd03c19a4d929f1312b801579c1fa2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bb3fc97384f7f4f06715c75c5dfe6b05becf4f34258b83ccf7177070eb639a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bb8834f40c36881e879ef0f0001241c9621465de8b6da4127970b785241819e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bbddf18affc5fb61db3efebc79485a363694e33a79a0fc4dd7632469b45d1f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bc41cde8dbc47e46f0f4845e55e37c411fae0b0f944c346b80ff6fa932ba1e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bca555cbd248d8fbde5fc7c48e5294dee8be8c33b20d55e62e55c65f644d6df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bd8a1d383ac0b2bf71f2765f11bb3042afbf64598786edd246d164bca776878.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bd8d03ab89e2e339f0b172c4f661d5192f07b63389bd769a5f9fd47a9d2fd4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8be57f79e636c9552f06409b92c2273ef43d4e8881e0005ad00937491b761c7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8be5f8326b814c1a81d68891646f194e2448fa4edc75657475ed2ee91d60abd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bf160db06eb256ac1133a208b8ee231bf3a05d185b25f5b3deb5cbc702abc7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8bf4c9524caded8f1c6cfac0b031be39ce5e55515be310e3919c48aef87e60a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c0f7c1b8b318274a5407e0c693999b002cf3f0b3a0fd74a00df6187c7b1df36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c0fcd541036a008b287a8acfe60dc0d76025c23d05bd65ca484aefa5b9dbbbf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c183e1e27e907896768f9d390a048e357e7d0fee31334fa7ae993e14ff425bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c1ef4dd463e36895e9129f276d80e46782362dbd96b65396aa78fe82741a178.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c24cd04d3d69d7bd3e2e66b89c64a77526832818f09b7c3adf79c6b9f67bd45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c2caad7a7f9f49340394a48a6e6bf44c69b7e46e2727513d25c6fd072cc41a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c31f8dbd89b2a84df458c0f8084eb9298d3dfa08c4b8b9c1ef7d5fe433121b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c3c480e0f3a60bed86caee1ab9c7214e006f591907c0a2a34ef58b62c4803ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c4d0a31d090029d28a3b961c1ecc44ea7c571ef2125677250faeb43ae10c657.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c4ec6d4398c68e2854bb647303efe0db1c844dc12b33a0d39aa5746f8eac191.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c51a275a80ef8543995fd0d4b371252814ccca09190364731d2b7af9f5709c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c53ddcc272f592cb07c5854fbee0b7c97b92a6e67521d6487bd1dab5e6839e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c549dc2bb5cabc743645a04ae7aea422290b7a5e95da6ea85d3cd8746f8bf32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c5a890e59f5df9265aff65b95a649d05c9fe12e483b925953e4656d53711426.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c5cac2e57ec7dda9fcee93ee72d3488eb3f412259b9a9d253d2b8ec906082ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c6403dd04ce4667a95058c37ffcec9ff9ce36413694c440c6e3761f89167c29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c6e7d1bcc4e00466d5ee6e771f138f94f24730818661c2fa4e31fcf37590e35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c776c8a1042d0d4603aaf7cbeee12c6df1dfbedd175afc25206ba7cfdc2a64a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c7e0d9b3035030d7ce3bf50bad45e8d7dc2b59264a72cd6ae8e41ff682302b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c81331680d07e0365a3fd724885ca64c5efb71c1d01d668f6acf5cb1925cb6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c89013b3917103f95370c0b7df060ebd44c1754183e485fc936c8338d03ecc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c8a4dd9051287411d778a606314ab66fe70c3e39677e08ca2ec723befaa92b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c9053c39c0b07cf096b97b195470d42cd44983f9fef48f5fa4f2da9df08db35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c9258dbc3f510f81be27949915dd4aa87f9537cb0f077bbaa0a71ad7dd4b552.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c9730e62430cf1fe4845a55da3ee333bf612067427923b46e5f0e194a247a38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c9c1aef1e6d8291cf1f92da61164f1cea348c2081c5f7b43ed4f24a0bce12f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8c9f34367849cbab1e0aafc6a5371fff8204aee7e657d4dcffb10efee72562f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ca69dcfec34a8751a19704d4c808e949c7ef44d6bdaeac392e1c5064036e64a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ca89f3b21e6a86e9abd4f2226f35d15b39d5528923761a879c2c2b868a6d2c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8cb343bad258ce48a040c4ec6465de49d61d8b1b37fd6ff15907e450db28e16c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8cbc6a3f223cce9d1ba6db9824d045b2cf8d4cf96ad641e8bc05158aef6e066e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8cca0c317dc2fbe7f131abc5affc563c5066bee8f4551bcb51600d806c2fb281.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ccfbd515012e87745ef79b93b8666ab13ed680cbba973b6dc5ac719da3eb3dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8cdaaccbfb533316487a6cdf45dc26bdd9eb78e8595a8eae5f2146a204592198.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8cdf3396b4fd0e8ef458408baa57107f7a35e8bb950279df8362a392702f4362.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ce1cdb214b4a7a2f471c4f87798cc65d0c2cf65176e0fddcf73d4f0aa3b227c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ce6495f675f84fe0e90a8e92b5c43ab656d3e07a19aa6ea7701b00d289bad42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ce87963deb4e278cf8f3850983081fa5ffcb3749bf73b12a790f70fbd7bda46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ce9a1052b9779a67402cbc2610a435d02e558b61a1c4252cebba92d39a56fd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8cf074c9b2ece05297b394f227aeb2ce63125eb5b64ca0a5cd236f110c83b550.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8cfb40025423becc47d45e28ed9b15ed4f8eda386a7621dc5349bc293fb6d7b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d00e787277aef347e6391a33fd2a3e0b0d7a65645b44685ba45ed92c249cedd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d068299b7ecaf194cfe7ae0a48880075443b1535dd08158a0b7ac272bcf551e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d0cdc172ef18bdea3d584c92318c52b2b8de7ee114d60a9b63bf9f659ce5b38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d125f35038402d3847084c532f01fe626739f8d476f7dfa8e2f9914beccf136.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d137b55376d971daa474d194ec7695b6da39510a89bc2420df642435f003700.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d1619fc411847ed0ee921273cafbf6e9941c0a12766d458e782266c57cde286.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d19b813d6bb84a970b22dea1188a3d05db450dabd9a3829b6395c3dd6b0ad9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d1e8c5e3f47f1f2a8b61d0b61bc378756b916e0534dc4698e0f7bf0d6951dd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d2fc5883a645c275cf1b5126711ef890d351035a427659e8d45362445d12109.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d3a46638d9070e4eb735f208108e2d535147eefa32e75e62037be0435023930.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d3d1ea51dca5874f94a98f0c34bfc21c7969d7ed8aeaccaea0efb8360756b44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d41a6d76648e9ba1fed2a65201f414a30e0122f21d10f1295854ac937822e2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d42adfe93491fee5cd23b5540ba576a253d185dc3b1a8536131cdb433cf6589.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d45668212095d72258e79e446358c2df1f1f219910281d9b423bc1204edef94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d584a8ca9c185b811553861a9e42bc24d7565f3a2605ee07f0f638a164b8a50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d599abee580392b6e61ac62ed05160be8b28e96aff673ca87df12f5bc7e751e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d652cca3a437573e7f0ed15309fa62374d86fbde6d99ddb620dd13e251ad17d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d69b86f944279ca54305612f0ee3b2cd0cf17dbfe4d0d2584b399f45d5bf70f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d723a1b7842a46f13bdfe38f2208a606795f120725be9a478b41eb7b749b0fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d75dec6476db4006b777647008e009a4f4dea174a8637a01e74a98c4b1239fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d78f1ae0b71cfb4e1b096e3d7bc837a7f2618845fc975e97a83409c08e01e80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d7c0d5f42ca1be335b264b5bcd1da1c0ab77845f1226bfd723bc515924c395b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d83635e85bfe737ccf8034261e613fd223c73cd84456d079009964e808e6497.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d8f06f5124fbf743afd1b05621b39548116ebf410781546da3219d5a017d775.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d98c066e0aaca10892225588e8476c12780630c27992736241fcdfd96e7f508.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8d9db72c34ac5c5cd93a6a2243a23bfb111d4962db6c4ab4d9aaf58ca2f68977.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8da5b38ad85979ac9c040fd124e6de2ca4b6045528a6437c00b44a7bd65a4c35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8da7f47d1fe61919c44afadce858d18c08196eee6fbada9fe09c9ebfb2a5b022.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8daf635ca399184fe74ff48454390ff36d1e29c412d3bde221c952024ebed643.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8db29bd8ffb58dda49ab54551b081f5f9ce1cb1071ed2fd59d6954dac396eebf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dc24de79b4c0a51e744d418577fd9817b4c9a3f14b091eeba76bf5eaac622aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dc56d0a7c00b5fcd7346e31a15b889cc9f6ee0a06be6477cc731345f4103ca7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dc84eafe0aae9c4d60198eb291812ee7a34022c27cbb0998d49ebe1342a5ea0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dcd41ee87ed06c57beb9ad559ce76e72b57d113345bd1f0b81ecb3492086380.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dce0c4b531914e32843264e181f5e2e82cf1f02a8476e44fc5153b87db43e01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dcf32ab7b7bee6d2637a44875fd87b53027fd714461c963007ba62a233728b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dd1ea16110edf61b525b6e6b28de6fc11d01bb49b9c8778da74d72536f3f19e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dd2637824ce84f8ec909cd83ab28c8bfcf79c9a7a4b51249c37c67877b02f00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dd373f089ec7158389436163a2241dfeaaeef5ddd781a1e32171f1ef51b13ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8debac14477f0c3e66e8b540a049dca0ebb14ebf9622e73d0750033c3a1656e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8df211559bbb683c02cbabf437009731c35341d9b3b711a52dfc232c4aaf6354.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8df8209f76de4e24c67d5de4c879e0b4ce28ee13aa55e23548fb29333b81e6f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8dfe79ca161e7af00e85203b5536aab457c3cde8c70fef7038ea88de6f0aea6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e007dc8270bc09b577aead1a2b45cfa5170b7df6f5bffdeade4139c64c4d0cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e00c4bc027ca84d8fe7b93da7cad26b6814f1d9ad66c20c1f33fb6be6959902.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e0745a2c7ba6ea487a37853395e824fb12b026e65f7931d84bae9947b279d57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e07468e083e3ddee7a4858eab5017467fd8ff07ddfa3b6f4afddae1792112cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e16ec1682211414fcdfcd6ace60972d8793ac73fec5d91ae7186d6eb784c29f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e19144d6ff2ed1e3efdcc52a6742572e0745163f1568d2d9200161edf945fc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e19b88df0ae7e64260a03ae466d85ef3cad7efb70ac26ee21db380be62b5ef4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e221e9894c23253f69eea3949f0019a8186e035f08bf4a6d2a53846071f64d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e234c923d98eeb6fcc26460d6e98da3d2a87343208c5f4ba1e42ca401aab74b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e24c2837c02990c7c9c042d59f35ff55aa3f25351f5d340f906c255e1b6ce95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e3ef4b99619542423a7171cde42ff637c39e8dc63f078b8366493744584c239.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e4187f5651a61c3121db18f6fc233ab91f1fdccc54cf7151ba3f0bf892fcf87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e43a51a46927d01870ae54934fd4404db66f2998fe739a266e845630e9b9c78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e48074a95c242e1307e95eb60338f8a62438973c5f868d6c82902dbc84842f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e481ecd8f4a030475e7e5aff112dc9e6713f3223034aaf07eb132912bf94fc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e5947a5da678eabbb97350d917cfd4e451d2fd1834654bdc67f8667d813c620.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e5aa0c8f51ce2ea1eeca90801dc66b1d422a5a4641889b41ad1e121f8a6c8ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e5dc5c78f7fb17611a5d4f9bc8100eb32420d118caf29d45ef7bc16ee7b4366.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e65d52fdcc753499462f1da8387c8fdd5df66156d38336e5ac4ec3f41856169.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e667d6cd9c0d4f0b6cdb5b36d523d69ddbba524406b7d083415ffd68a0642cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e672d3c35ba0a649978b46d9b848f3321e12a646925e1250060cb7c3e0405e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e684e0345e62e1e8fad57f7f554c8a04129c1eddbbb60c7511733de2cf63533.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e77f7f536fe4bf20ed2e082cea5f7d31c0baeb67a4992bf455f4c24eb01d5d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e79278860d0e2193fa429ff18a3c180802e053197b00ef936d014eceb968025.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e881ed2eaed5473c81183c89a8d5919f50e272e50556acbb55c770c6d560cd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e8bb1c0aa050bad3638bd199f048818cc6adce56f4fcfc9a9443f8af0d8c260.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e916e8b741eceb6831891fc4d30d42ae42161bac580682205bc886d48c4cde6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e92e6caa6a6ae00009e3e4550c3eda03b3c913b123d1b948691e203bd9d3d64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8e9cebfddf8e4697798b5a78ce6f624807ca55fd4bb5f019be5fb180d8118577.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ea63d21cb9e8829a69154aba5cccdb3648a50c21c586aad2e515f73f9651247.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ea68efc348047ced258f6404f9f8c3a747309efaf8a38073ea13ba6a12c6d0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ea80bb3881647159cacb7ed20f4202f854543457522a26c86d0012e3dcf5107.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8eb38fc10f9a65b47194058b72785945f0b51318a6ffc618f58523cc83711e59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8eb6aa8e7a36312159bdd60c7592e0c2bd21bb135a0bc9f4954a959797027ae0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8eb8f0b0cc30bea1e86aff99ff66f336a243dc224f7b1bc4019b75902f5d585c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ec7784b659c9127cf8ea8a47719b3a14f844488ceaa0be39c0b1b8fb30c9fa2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ec8095f073cbe21e2c6d588a38070c524a014c8a1bf8131646f55fe234d17cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ec95cf6642aa443ad98a966303493ae9b781da9d32dcb712ea3254525c97ec9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ed43221971784b222c5992041eff42f8ce34d5c8b325bfac8fd1ff041ec7d59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8eda21a288b8194eb10c850dfbc2d59c71a11d6879c9a75d06f99593aa949f6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ee6ebac7be9c90ec62171246a11016c282f2aa1038253cc14481a2fff7809ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8eea346d7208972ef61697f501fa6be7c0e1fdc782817bff59ba0e6944c73f22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f071bb9dea6402b2ba1cf812e30215b237cc7e03268af01f36dc1dfdd689f02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f0e2b537250b374cae5a5dc34cb91ccbb5515d51c1e8ed5376d76d7a9d0ab32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f11f3223b6963f1d3358eb0788a12ab4cb1b3ea459e2874b32c2922f48ced3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f1c6f4def64bd8b9ee27a7eb1e805bdf6fa30912e5243630ae671294153166d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f26a70b1400852162f4d356ed68b0cf421c37318987f78dffae0e2a11a3051a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f2f8acce6a4d13f700984d39d155b00ee8aa350536b7838008718c4aded90eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f3693c4316bba7fe1c2bf149400a7cbc06e708c5753c3f96226edcf58fb030f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f3d210df5f848589d4f5daa4fba589a03b6eaaf591440059cbee33874da756a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f3ed7471ae54d8775531f0aa4ba20c44ce7b6cb27c09f55cb012e8ddb706a9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f40c5badffd1451cc72f81d116eaf508e0a84ac101e567d9bc9ecb8be1fd727.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f478a03efbf1db348633584f3a75a842531ac3aea206026f0a5ef97b8eb04db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f529be55ab1c42d64a2defdf5bed0b086c10d77de3d6ad3afc7a37672ad5149.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f6539049e8224ab8c2b2d8d1b9c6c45daf85cc7ef0798542604bc9c745ab3aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f68806eb11f49ee018d13bff807227bcece93b2ea052d69a1d7d2a194662131.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f6c1bde54cef41cf0e0dcdd8dbafb42a2e6f3e652482b81a638cf20dd80e0c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f6ff13d3124aa4a2b16687c3fe9d33f5931089fa0be1b2b0bd8d6904d123d0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f772b4d8a73bd04afa09b54f9059ad1a9ec6356c3139e9fc568930adabdf8a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f824c4b8fe1e4e5be39e9237c6180842bc460049dfd2b44b5d5cbf1f6ae772e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f8278fec2592c399ac767a9361ad4244ce29ea608b67ec03955f54caf4b2578.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f8780d6393e9573ecadac0b146df1dd72acb24efe61563f7b309f5e3ba34d4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f8a34d94fb6617d5a55eae3a8840b08fc9787be7c5f7c5b7c9d6bfe22f0c3e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f92ed3b48fe36a4a805da8ad82f2a456529fb6967da846dfe0cf581372745a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f962d039e88e0db681df7dc646b23615026b54b7eb9bcc3aa96bf61f6042843.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f9975f9184f4b33d2db9f9c0078388a8c1b9b17506e91f9730343c1192aa4b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8f99a01f560f35ebf169e3b3c4a8add84661f7dafd557adca6d0b42816da4b7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fa63f04e3db5b68580e26b406c6eda561b230742bded7bc2195da831a5914b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fa8029bf562a87a469c49b9a9f6c04f1d54d1a7877b8647fa143c8935c5d242.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fc09bc5aab63b6840c2177ef825816383986d8c379fbe14454e617704147072.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fc644c59985e8db7f80d1f9d205c3368d69831ce8175cd14d96cb5a5f247ed5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fc7b7c55b98aac69d698dfd8d6413bddc92586086c81f726143d2c0ab8aab8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fc86a50d31a037bf27dc59234119631831f9d6ac1a5b949c88280e447f9cefe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fca16ede4e7f5e90000625610fada3b2374cf21935af7d913dc839d6575f7e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fcec23c8178cd2b90b8cab6ccae21f4c504e39e7e0773fd104bb8ec60a7094f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fcee6672512d5a801fac8e05743cf18f4da49e22e26dcfd95f0946071a0e0bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fd24579f9377d0116df1c328387ccf8616c8d5899dda1e02d4cc23722fab5ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fd38db839420d9cdeb8a89f0c59632b9130c9428f91f608ba78b7ed61775d0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fd3fddf12243cd9ba97eb46082238d077be64d3090fdc3b78310fe794bc9985.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fe1469386a6920337fba24ffdec8c7e479b7b0c5f7d057982566dc3824acf72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fe67432e937b64f2f4a4d48255367a864fe35cbd4cddad24c71cbc9b4358f1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8fe864b09dc1028acdad9e1834809a53e3b73463edf675d215b7dc7773b75834.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8feed594c2a3aea60278f6277b5b79fc997f11e37b616fefb682eebee7a0b7a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ff1396347940b9916bb2bd1eff02d04ca769ef20e700ab58777d7d04ef6e8ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ff3a63bdfdd5c0ee0eb8c74cab596e7130b3852c26ef8c9b34514278e5d00e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/8ff63d560a46b888f5236bf69332ed1a0d80d0b7adf6dce88264b1be5bb93e45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/901201945109fa89b695421587c9affb95a86ba1d41049fecf318d0cc21f4c2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9013206ca5a4b2551ca513b012f1e694669405947e5e1faaf7153d88ed93cfff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9015a674bac02159b0425094360352c3da528045220ed906fa660dc5e570efc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9018cc28e9a917f50bf934860404c467a5fd8b694478841a586b739d9eef292b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9018f80795ac37741e7f54b89c413b6dac174ac3769106e5893408680ddb4c00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/901bef22056fe011365ffc02eda4fabacfda671e82c30f3a4f3ddf26c8234c2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/901c9a3db7bcc15b20fc56a50d9927263013c4ac145897b451230f288a784f01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90228b87e94e6f76a0a78ea8d27187943817ea5abf3a25a58b790cae19371c0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/902ba1026278958a288cc8a30a7b44c0808f3e2f202f074552a0eae058d1e950.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/902e96ab44ca5d98e1f8a0530539a5410758b3912a2096802624ef150caf3809.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/903e68b5303889d9eaac2310d7910f3d5ded86d04f419751a58c9775f327bd64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/904559544a271888356355a2676242169b8b25cf74b54288e0e66edb7acbdd86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/905cac8d3532d3cd9dd973b74ab334a6e8b865c13dc0b9acb134f108ba1b23e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/905d8d10c30632668b13c5ade123295d36ad8ce9c9e2703d8c6eacbc55adbed2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9061130d01cc3ca36393b3352f0f4425d8aed676634a5ebdd5257929da915766.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9066b8860781b392a37ea1b8a864899b2855df505bedc9f849388ffc820fb23a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/906943bed673f0fd75f572394c685be284e3aa3501c83899cc51ef48dcdfdc50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90695553d710302b58f2cd3a25f1353ee7c03948583ceac565b0160dc4e3851a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90738128b2be88d5e1943b610642273b56f5e59774e975888b93172f4e498232.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/907c1ffc6de57818c430b5fda65c2ab48682aa70cd4e9f4ebd1df54d4ede566e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90878d92a70b0a9b6cf4f85b118c102603aa16c7585db0595c745847b59a81c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/908b337eefcfdc085250997064213d3ca4fb88d58d25ada10ab0522ac6ebbcc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/908e172ee3aaa7e5152dce000fff0a3934f0eadf0bf1edb301a07af8f1a90f37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9094e649c5fc9ff0c3108d8eee3b2eb226958a59304a501c39bd099d8139117a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90958c29221b67499063d0861f5be1327a34721a7af7b613e5f4b14b4e2a6253.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9098371b5a1265dc4dcc0a01279cd76da028d363aa8ad245a327f8e5101fdeba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/909b02202d61304069928a1a50aad2c9f45f8b7977ebde8197b1d4d2308acd5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90ace6aaf8b467d84221a8f186ddbd9b23816fd691c131ea1aed295b2ec1bf1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90b8ba4d0d48bb7731b1ab589e1413673a4681174b046f8b29a2861671c606d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90bb5034b9bdfb5cf38e1218b7abc81d1b31fe19f03e188305055035192a7169.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90c693fbaee33ec839f28685c1b708044d02839519ef8181e052ba00cd2240b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90c7e257a3b10c2c9b4e00eaec49b96e0897a59e9df2a3aa661d5c3e0a696437.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90cfbea27453bea2a8f2d550eea80f05e0c9dd130b4f9ead39e1951745fd5c46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90d281123a36a22191c18a28ebc5df907a7596b2d21dc760baa57671d3a1ba9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90e4058746ad232ba0ee7ef0a9dede372e8ebca6fe962d8d71f59e2f0957df42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90f22246c86132b8900a68b96552ae3bd4c45fda1ef55b115b09d60323cb184c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90f867f5f873c209d767904f9a9fb3f57d2e76f6e1281dba3a11cc0abb99871a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/90fa57cc09e81ed458d86f82b7ca35d29948ffbb30fac28d1e38c14b13b8e128.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/910330f60544ab21410ec810374c2b2ed13d9a39cedabb57f24742f4208bf45b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/911061aeeb1532b82a47343f69904f43ba2860b391fdd543f55685a605bd8d5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9112e3a48005fb5b644d768609529d3506f933bba28f1c44378bea82a23ca399.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9118441568f3e8a59ba41f09db2707d1a55f4c30b6ced1bd81e2a372748a45f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9119be993150d721b3b6cb135441ffefe51fd046e170aa88f6e5abd377f521eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91205536a38bf587d4daf64265af5ac25d32d24a342e843c9c104dfe68974438.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/912a9f4be3f3ceddfe99ab18ebef6ec5600cd8b2dfa5562e6b73b625566a3999.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91363efad0aa393f870bae733f9dc6f6c29f200d143c6c83ac92d4349abcd39f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9140070c4a8aa856fc911bb0b831e9b632ad0a637dfafb7eaf53cf2a2b845dd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/914e23b6549b2e538c093aff514527ee256bbd5b374c8329713cd85e2dbe47ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9150cdc799c2e21eb1c6dfc98ec73c8173e514f537c3c5437c62f08464ebb9a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9160a360c536209f723c169648e2f979c3af9316e8dc306133451309d48839a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/916200005cbeb5f2feed5c6bb033308f9802050419e4ef395b2645a87bedbb3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91655e3a7ae0f807093aea2291e94c33a93ea6d471d0c9f320384904e153b864.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/916ae6f4e2a4f945ebbc95d755db16796829f368e605c0c92d6ffdf8f3173556.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9172167daa0c68fa7fd492fca78c21f8989910dd7021485516591238a4663b5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9179390a8e72d21decb2abb506cef30ff5b38de521023cfb8d2563fdcdc4e9ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/918dee9814a925141be34fb7e57cd3ee1879165544bd0a5410b62dba0dfffa25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91bd713d29043b006b4aa03a21fea4618c99ac38162513e3b9681371066ecd94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91c3b9248e61fea3336487dd7556056901d884c958977a88ffc6edd25dff55d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91c9be2126ff66b98d4f2cca3ec62e36aaf3e4a852b5bcdfc5f9944773bb071d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91cf5167688d0a3c198552cead48b906d1479924191794186a623db4205e8c4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91d4d1a5463d4d69ecd55dae399f71e226e8e6f3dc61ef665af47eff25b177ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91db5a14525bd67e2146eac83c829131457620073730d5be2aae89ccefc85097.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91e864a127e30254844636ecfb27f8d07f380384a65d892093230edf37687e57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91ed134c033a8ae064174641607eab38ba32a8faf88a080abb8ff3e16d21fa3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91ee8a7babb658fe85e3741e0aa7bd7b27fa1a8219b9cf88a02cc546fc4f1f5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/91f9d0a1ca7eea2b30bb672c93721271c8d12f9216206c6ff7fa4ba7dd0671a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/920164292a28aa9707e70d00391cecb45c1136c648fe22326d53d1641fa0dc34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92040a44ead3599dce5edf27aac26f2e31722a8e1d0a85566d6a2589ae3db6f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/920d402a6b53536eac2c39604187fb157d187fcb993d3478ba815f1528c57669.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92150c25ea91f39fe005e8845fed27c163dddc4137a406c8dc63168023891df5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9217fce0a4ecf3d0d09b1758da9fb22d9f22526710aaa11ff9e1d736ab666bc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9219f1fb1a3eee8e49a719a10122e9e709b7562298294e4910ba18ce669b923b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/922491fde7a79c38aedee93eaf2e73998aae3d9f0c8a0edec1bf855547f04d33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/922a10c85b72b37ebd20b7204bb8bcdadfd7bfcd10986c028d5a10d18d902739.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/922a9b5d1daf1504254f731d4baea50497eb832995df7f894d118d4d607c721b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/922d0943b23b948dcc2401269ed49df1239a3e2b52844a5291347b27d19c0eb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/922e3acd69f41cb3d978556ca3abd1e30cd26d0589fd79578c6755e49328610c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/924ec4a27ae197c265b21b82792d25a352d291b109e132251479a016564cefb9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/925041073e235996dd7e2ee70a5131a380b8b9c407898d705003fcbe0ca1a435.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/925b6eaf384efedf39adc1ddf871be842278af4f4ca71d1334dc63cbeb81825c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/926121d7c7b741253e1008bb8c0a9ed2bf391f2aadfab261c65a2727b6e9a566.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9268e712598c7c991297b663a7b819a2c499d65c2b55edac7f2c4f5833e3b0b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/926b888614b2383762ef0a0ddc1d6eaccf554901ab4b04ef398ffaf37b92730a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9283cdbef519127b93f2c97d835e6e876f6209f7f06076c3b0c0cdab34d2a458.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9283ec0a0175923f76bf4cca4c9da58e92c85b7d6d7308340ef8756564bd2ff5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92855bc0d9f530ace655ddee0473226ad511b379e2a5bd4ad761bede9f9f91fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/928b0e2e82c1a390bfefbf61fbfc0f3fc1d924667907875344806519ae1323f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/928f0e147408e8730c37bff55a69f38c5f8b4c0c716f2291db5342b8661667df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9291f7130085cb46ae004e30f320e88d4b5f49b52cd76579031164cd5b073430.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92a7b448b9767a0b72649b2cb1d5c2b5d244562b54d22952678b3c3996986988.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92ab15c90934d72f17e679c664af571b337c379434e591f207e8b9144028775a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92acbea075c9c8764b2a424b65e9bfafb5e1a035127e208e308e867c4a70fe10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92ae90c9ea2052ab8fdc43ecfe780cc8eb0a4c33534475ecb23a1c87f2ecb0f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92b21a13ac773ad81e408e2639871298c013681e885cec34278a04cbb3129665.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92b461dd806eb1f9b1f4643a3f03fdbf64d041bc4472aafb3212b80b33eb9960.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92d494a0d2c40f81d95a9858dda278281621ca069a3cb557c961d9500a6d0dd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92e60893d4760e538cabd5ab0f68f8fe86ec91e49649667c4779b7753a8dbaf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92e8cf735d8d7c9ccf53708e134ec83210a85a21f1e4fbeca91fd14d7761b721.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92e90f1e418eaff1a7bbc5d88a249c0548021e8e82986b65812a22890b6e8042.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92eb3b1e594209bf15dfcc36e61d85750c820fe592c2e617481e6717bb2e06b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/92f139c0d1acce6667d118e5b7ae80445047f3f9f111449cb0e3ca9d9c67cb32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/930273cd72d4183dc412f1ac20795a2a815fbda96b9f3d8281d9dc5233da3a9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9316b92ff5056e7ab9e69effedf9303594b15827fdb87ba75f91ddb295306dc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9317ad439863163f114d69358a20a7fbc6a8dceec9108ac058cbaf62d6ac2a58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/931eee60fc3d47c360f73b1b3e311b3d913cbc67cb362d7b1decd5bf1d8be4e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9326a3a712790992d339e93cf740433d42493f63b725331c1c06519e07faccc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/932b8cbe2b153f5545f38439801e119623ea7cfe26c87b5a5d4eb6bb851bd0a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9331214cd1fd4ddd2082cd1d6fdaf59b8e2c3c00c5bf003f0a191e57ef362106.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/933870370fe7800c68e43958c42270838b8f215c62702fa9f637e30d14a8bd36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/933a7709f26213d62ca95953e12a4a4f577c092e6ca0b4a674a7bc63b98b2489.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/933bd829bfe5328fc90357a1f4a137d6a0c05c47708f0a857b63d9c7dab866f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93491ec0e039b4247e676e73a4cf5f3a79912e1e4295637536657a85b43e8cb3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/934aae5d15f30c2e08a0cb01671ae9fef945efc2a6f854eb8f23802316126a8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9352b6cc9125c34b293d7431bd7344bcd691b3b5c62581a9f5c6ab1f18a53266.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/936458540b51c926a19fd480ba682c6fe5cb79ca68eb4bd10a4fe5346a24d653.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/936622be128d199ef1d679c3a9b575da42fec508cea874b66d5bdf9f3b08ed2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/936a3798d4fe81655a8f80d908fbf50c9c8890277d716267ff6df0889b548b6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/937259f878d045ae181e12a305effc91b9703ed4064f7d2df4304916f464400c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9375dbfa6840a156c88c0f77e064864c1a107d767206d93817f29f45b282995e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9376e07d7a1cb87016fcbd0fc8014adc1a5df873b627cbde4574ca00cbf3e0a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/938120c8f0eb0d33642ba12b2f41e2bdc949e5e1b5aa07789e1090969bb4982b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/939396540da2e9ab49ecb11a9313d30837938a3797514983ba214d016d8f5045.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93a2f0ba26f271b1c84918f5eb1407177f963f3f63b994f1a4d4638d5cae35a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93a94c639b81df3be7f5de75f7e2b064d26e2fb2245e15f85b7872ad6f65cd3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93b15980e9ca9c165841ec9170a0b83732a93fcfa7c1ac1511e5c5d0ef77a2d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93b63d2369fb2129ed7148b21df37198edeba4374c261bd47dae1b0c77b41c9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93b65e1988d142f80b1eee3becb60759a7efbdc92e94d9eda36c7bce4fe4cd93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93b7988d84f38f63dd86f6d0de2a80b1596d69586a8055bbe6dd2fd1f3a2ebcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93bc323f66e0dd7427e3184527ca99ca68cbab2f6d500484731576fe4a0b1099.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93c02e5378683d096c71a5888de229b8fc77b8833e779c0a4a691f85827cf09b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93cb13c00f56895fc2947e5edfa1d53a55555e01eae3e364d533f195181c1504.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93d1b3f0a40081d6ea529beffb01e2c35c1e143acf8a34ce6b8f2dd058aaf2b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93d26009da7bb82750c0f71b602063d49f6cb9f784e077607a23996e87255792.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93d2e9d14015104ea594b7291f621c7aeb655040c1b6c9153c0618385e93b33f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93d324d22e4043a44012629109f25af63549aa0bbc5e2f36366b4394f9eda6ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93eb6744b48c9199b5ccccadc6cda3e91c0e98c22f9f5e8624451afaad2cd415.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93ec3d928aff835f8e1140fd8e2d292dcf772f6402da8c3f279882f68f4473c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93ecc5fb48554265f65a8ac713bc9d8db729d08879bdb8eee2f7a8752dfefca9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/93fc982dd44eee2e9486f0033673437bbd696a3fe030889b55318b27fc50f17d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94039165389348c2c37b35d9732a58b2676b3d45b327cb2ea196cbd078fc9a2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9404aed3abd109c182dfc5fa5f4aa5f4cabc5c46ea833e6fc37460e8458d0407.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/940526c7c7a73fa1f242f8e61b4a3045e87fd191854be6ea4ef8dcd20b62a4a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94068a322cf34baa37336efdb175ba70aa7ea10a6d012e45bec8e53fd53a20ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9407f468d2f9303ea95a7206a7cf636e1fcd0e5c184a1893bfbcf448dd396179.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/940c2a2a66a1fcd16bb049e9b1f2506c3deaf9c855dbf6aa2a55096c21eb436c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/940c817c591f056e7afcebcdfed78574c1da8a5c3ad5c6a72b965e9c7ee57b15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/941239f7fee79e2f7690c226c0541b3bb5971ec8927d83278d53ecacb460a4fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9417c843dbd7fddd2b4258e3d175d34a2ec8505c1f27311736c7aa7295404584.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/941e46b6fa37b05407af622350f8276eecb7130c4cc990e58e333d57a754e902.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/942629eab0274233d73f39bd544512f0dc4a8c32b7a1cb9ce70994327e6d3e18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9436694ab5fc94b21cf482d1a4cca543efa719521f5971db333954192a206b25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9436b3b0d372186186f2c42633e7caf41b580fb6ab78c95acd5e5ff944c5a692.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/943b871505e412d1b2eaf85cd6437d7c496d5c694c69b194caf116f371804556.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9441cd8fb3b24d21dd0145eed6bc0e4a08813991976122af6bea93fa03996f3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9446cec8c92606c47d8033a4544d1811bde37a350f66da4a5e433e9d9aefefd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/944b11f2b5ec7c868670d28275524fd19eab9f7795d699c85b069e48bd21b8b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/944e00bb7ef429aca6db21d3c1e9f0c4b737aba8cba6e2e8f16f55306b105774.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/945803834a13d45183b52e427e1b441d43d703db994fd226ba4cc8f0fb3636a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/946366c905ef76dfadf836a14825ff4c1f3a837e38d5ca6460c27c43edbad3d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9464353defec9afed91b7cbd4163a6389aa17664d407f87539df18d4c69b5ab2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/946db9cc130859d451adf6b60944c5a9bf47f2fe0fbaef795f729a31d2258f95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/946f5db0f580dfd9bbc71202a365635b3efe0896521d14d0aa742c0fdf27cb08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9471cd28474c2a981d4dc30d6d8bd7778a9a2e74d5ecb8cc688948e860c40957.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9478276c72035941247ebd12a6df2b36b785c3fb3459efb119df5da0e7b21568.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/947aedcb2bbc6f16f2da1f28eeaa40d1450efbedb441b8cefc207e6d1a026e21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94827a27fc141c720ccd8b2f1f3e9fd4eb03e6e20a9b6b71e884e558e1735243.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9486579a91a3cfda5e22e6c1e3cbf4cb9e8a6ab6c7aac2a822fd9ac02e00ddf9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/948ab5c7a8699f2ceb7ab69a84e94c1a68419e19b6c9a5d45c00c7e906ee0969.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9497541356b27a7729dae20fd10b1a2d268310c131b0769162239b146e59bfd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9498bdd5d667786fc250c1f9fefc3277c8404282d6bbee55d2ad6bc548e8acc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/949a6a08086ab5b5650eb497a0942f35d109d7354ce0e3f80550d66ee477de5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/949f6c51eb53816df680a97221cb4ad457212f7a24ed756830bcb151daeff202.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/949fb178d70c6062d5b83d82376876bf68b1720a2afbc8b0e3d5c80949ee69c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94a513d20c2e484866188337a98ecc096bc0791e5f7a8c5d1d7c008ab1590222.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94a7ba84a9ca9a05ff24d0c14a70c7ea779512974d50e5cdb3341b95edb922f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94b804a75a9d8c33bd16194b40f10c4afb1152b8ef790e49c1d7bacad3c2adf9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94bcceb3e665b4fa50b0bf0a0254f4a4814e4afb040e48a0c4b0ec92fd6f907f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94c0e7066016d546ab660ff28529e95040a775bec84e5e25660410a0595b1042.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94cff4285de17e99e8b49598580b7db613b29de9096b2f40703ea03f0086f9c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94d995ba8319888b003fd6e81951ea0ace7c80ffdb9ba34a801c58f24dd2eacb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94e2f948ce42c5346ac722ae43b5703466e9b02da34fa031b2e987ce830ea4d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94ebf762f97ef4dbc1dd31a8a32f919536fa41aae57e9e3d9e14f3c7fc0d592c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94f856b5b3db68d69513daf76dc6922a89c655284cca156d7e65c8d06ce12cb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/94ffbd7ff6cccec832ece2834d1cfd5eff44e1cf63957fc47c7738656d9e5f9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/950b85d1fd8966d19c6ce8343a998c28671820333c76e712475aa5ba58194abd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95176291ce168e5a59eb1ce5b00d0a140be88703831e92b58a06406de4f93d5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/951a8a18a443124ce1ed2dbd747af45d357f18b236f3c0c0507d1f7d3e00a360.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/951da2c79da3b90a72406594e0a9c74f6d7dcc4b25645ad24d73385d1323006c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95212b78e9f203e7427acde23c3e16262b2b54f3355d493b0ad265f41c96fa46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/952948f3a6cf8a834c793e3106cd463950bbde937f88f9164258233f6c374e93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/952de87ba34c23b5d77d6471c55019649782580293dc829e8c10f2f4629c6b72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9542b8f3683067a99a4192694e2d27d78863ae30d1247ee21735c06bd8651e68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/954431860a25e446f5f37b855f8e0924b799009c5de7580db4c723fcf8a0c9f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9545b275bf9ffa2542b1eefffcefeb9ae43135f1f92ca292b3659686c29e0f29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95497664758f36e5b73afd0396c0613c18374a4e3ecfca6952d158f9ac80bcd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/954e30213dc092d6b179e9d36c91afd3d15fbaee02485eaedfe37640819ac0fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/954f2135c61d8d814c6bed2ebee0b310fedc16225241686f4d386f7bc07ed15e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9550ccdc1ab160f068645c265e0df4f636e0f9566bf892bd256f0e3377f26b5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9553dcf26b3d0e39b974e8ce470a48b0a8a3b900b0228b18ac17adb50fd42b15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9557e8e97e3c043ec068e56388d2a30ed9a97aa7bcc997777107d1b44169a017.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/955b338f2cd1191c82b58f40a88ba28dc2e9e0d8950050b31cfca38440e7125b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9564756fe37b4323932b4cf8b7e3d7327c01828c5de1eff54ad775fffe48fcd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9565b415b0a4a2acc2cb4dc29ccdf2c172b8f36777ab867c24711baffa789408.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/956b42a836834e5d76fd34ec47020e58186a6fd41d465ca09bfde1a28e131902.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9571b133c697cd4279d74467da23d626ec43efb194e8eb337c133abd1ecd2d91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9583bbb612df78aa33c2ffa6d09490539b7ddded93d4f2df974159517d518215.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/958950711471ca6217cb2b423247ca5ba18c432333bcb4486769b58e022420bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95896e879353c6c10100ea8a1aaf6b4c942bdb16e57ea217cc0e54d6f468e025.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/958b04f66d7b01a6909d5a859d305a2d2fc2471640b81bec063db66db9e2fefd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/958e8389d17ca001f612e768436b7549fdbc92816be16cfd49938c9e970cc875.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9593cea285264cd339315cefdfac88d5a2a1583a108d98d3644054711f2e6093.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9595aa010af3d63a8766e5062918405ca4dd6cdbf64b8b02694a5b6d19c829e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9599d60a84e9418216ce345938f84cdf4a0ffbc98a36f1b17f8627a56cabbf39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95b17e81586f5b9c5638826ee397a059a7919c4970bac251fcce4131757b8cd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95b6cc831a7a484a504d77a8faa9a05032490b37c866fc1ac30964419eebb588.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95b947e9fbfd82a4ee130dbdbd90311e35f79e52d874988d8d86d786d0513355.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95b9598faec23db37fa0485405844d7602b92fe7f9e2e68e53e3c93df06a7660.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95c3c52583b6c5dd499ec73daafb1d48abd1518929f6a7dfd92308ec4d167809.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95c8a79b22aa6e226c3dd7f085b0b40544be8fd54e116aaccf651dc7e3897b6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95ce549f072cbcb986adeef208326e739733c8ff1ab1d69eaabbba4224aa0f06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95d39e102c3534a7d630c8e9ed92daa2999cc96dade69fd176a24df71c84f35b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95d8f645346368e4a43abad9a2d1f51aebd2c26c80db8377956f222ffe747419.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95da536fc48a0fd676100d9ecebec6080cb0e7e931ab8b413e8731230a327216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95e0240d87ff7fe3a07fe75f27a3aa2a06c8aa891b3851020846055c266ce9fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95ea185bbe8a3f9c581e3839d8339ba7a541c26046bc20d7f899a3213829cfb1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95ec720aab8c9e34b4d92f576af671edd22e34e9f4383f5f31d85b781d2b93b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95ef2d2de8bc4bb8fa38723288e34c4495dadb2019cc819d631229d4fa8ce9bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95f3ddc5e52ab8f16f6b8af437a6a8bf73e83a3cc80a4d169ae19140b751d108.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95f504f847b602755a85511bd9561ab9c6006ac302e782833faeeb61e09c91ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/95feb4f1270b72e132067876da09f3e60729990e94fcaef910b87cad00d9eb6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/960500af449ee5aa1c04362a1cd15a24c39b52f6930e971e228e83d1c23dee14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/960538bde42d6c08cc0864c01688f5df55a217bf046652d2b820cf851bc97687.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/960f4411e8c1a366ece085ea4e81ec333d48791a7385e76087c9f028e21078eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/961c14989447e8dbcd07d9a72fdc51397ea34da5ccccb5a1e3f5053b655f21d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/962be46f3089e5fe0bb5e00d8d3becf67f28c1ed2e45775a8293f59f3278fcd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/962d15e1d684bff52e8c3c9c389e3715e976deae055f09e8b0676ae4d3043196.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/962d3889c7ac72a4a78f850e09e7d6ff56253ad42c07ec5cc51efa28f0d80c41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9630535689ef1d9d215fc4f83716c52ba9ea6c7daafabbc2b1cabc67e71744ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96337bfb72fd3a2f90a38e5f71e13cccfb813ce2397dbab3079a1ab7fb9e7011.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9643597b73e24c55db22605a9b092c94154b948c784c3f75870641f54e757e97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96435f3141aa22ee6b51de7aa553fa87de57e8b18c34adabddd5ff431f1924ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/964d8dd6be57820d96825546f95f60cef63c046f866cd9a9a5ea831de1882a57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/964ec0f1c23cb735a00df996c1b6f3fcfaaccd19dcdf7a1883ac7d5de8d390a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9653a0a3b45a0113bf102add4ee54e6fa63ace631d65c3a9922cf2a84bb81b1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9657e3658e44b7c47d60cf7a2807255838ad39ec245a99caca599c9046bc5410.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96589bc80749a44a8d623afb641d9bc415574db52edb97fd3e345831b7b934d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9658cfb41cd3d57b0578c40d13e9bb56feea6acefcd5b574f6eafd3da6d2f357.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/965d02af724188ff5283a4e1e33dd4fb7cf2859da4f71eec5df699e424b77b0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/965f5fc52166a3d140baabdf32cce6f5bf50cf2a15f71367e9193e1e56756791.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96609a1640d19efb5331e8c96a131075bc20e20f18146c1327b297cdaf2d8ad2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9661314b97a80d1cf300145a9987eb8d350e10f448efbf8127a3fffb76e75701.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9662f3185a029d06cb7e3e67c1126bc901b2c131e85951214c62365fd0c8e828.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/966417caa5e001ba20194c06d17719735428d996c7357a01172d2082b9a64026.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/966b31de4837e1a3e1b58b904c320a020ea6bcd5eddd7264e0c39b18b49c23d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/966b59843e666c907588f5e5bdb5ecaead233f2394bb1fc9bb2602c6e00f283d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/966e92a7f0fadc946c8a3803fa77f8ad503bd1d01cde7982eaecb24b3f3979ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9672a93cc5331fcd5c1a03aa0849d18ff923975fc882f2fb421b080e3db99d09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/967de4b6b2f5471c43f54cf4287cc4fc0de23934d75f6f5d549928d4739fa90e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9680d603352784f6f5d39e864044dc964731cb0c12a7893e787e8c43fe6b4d72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96848e7912cb8b8ab49c124199d57a0b4e45aac40ca6da7f1c22152585834554.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9693eae0707bc55fb5a08e9ac3e10185e0006fdcd48c0ae9a3f4851c0f7b3d51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9695794be43c2b0cef18ceae9b2eb16ab2509be5624afb0cf7693319107e432a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/969ed08c1331f058397d18dbd447d2e61f141f94a83673eb2fd128e89a0a56c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/969f1a36bcce35269e07ecb54543682aba05172047165fa389587c4c87ee2df1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96a08e3db9a43ab98d2ce118a2cc99a47550b08a55b61aaa50ee9dad190a171b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96a0e3106ad72efedac4537ded9dfd99db6e1064680491ad2495a1a3be07d01c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96b4b37b459acd90c5003c91ba557fa3441116da1a3111c36109b2292acd9643.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96b5afacba41e53433b03d014bc283a582bae9653c4768dfe8e8553138b3b984.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96b7d237c758783f591f60173ae79e2678b9483a91399931dd994a4ccbead345.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96b978dfa087644ec45296af57967b901505f17ff19a4e0567b016da74b21fc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96b97ce70cb0418d4b11eb4d223c45587da198cee4c838af071017d34ef61144.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96c1b3d025a52e9a8237a35d6de0fdfd628ed3f6d0f3ed92ee8c97541ac1f7aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96c8cd754c231ef63dd75930f07c0f58270bc3729940cee00cac0a7177382705.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96d70b03c435009cf8b3b3ecd8163917adf7b999163ad28c7eea2078db2fdd9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96d86c9a1d6bbdf2044d310171382c26ea3274c3d307d30bf1cdbed931bc62ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96d96c4b3c81c2ffbf2ce7dcfc1781fcc02372f99f5831b4038b49d3d6f754af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96dfe32728e892b9f1a121c899fb6c062b2ddf1629ef64ca8304b1f28ead5351.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96e0ec43b91cbc19278db477594e40ac6b45b1bb9e2c7d29e8895ff55492f333.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96eecc8f22e4a10f4cb07f33b861a2de4191ce32177a6c8277496e66cc8ff864.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96f4eef25d52a5f41b7feb1f8bd9180ae436494af00bed2665ee7e85d125c44c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/96faf4944714c409aa010ced1e490542ae38a1231e09253ddd467181b4a714fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/970bc947ee5300cd48fd0aa52a5f0fe71cd328d358fc491c7fb7572a8ecc6fb4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/971bc8237002d746bd6d2e228349d22c41921a727ded5975a5ffa5610d410f25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97277afae32649fc9da456320d2b679650c6322d492814b80860551b75405dbc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/972d0146263bc67c2030dce7a715b648a611085605947802fef5f1e3c38f62c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/973315d89eaccc2c67727858bb130550f5a0e8589f4cc7728951b4059f7d9b77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97331ea9e05cc69290118942b802de0720850e269c2426ae55a919d84c457bf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/973d4e003070951d9ee8e7d6813d9a2ab8d1daf67a065e127cac8dea84b2e309.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/974479a58f665a19c722e4662c972d3030db0794c094771b4d299eec0793388c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/974d639a2d868503f845c090e36e3ceb3511d4aaf749152550f31cc6fb7f2c27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/975bea8dda56d08d4448203b5cdd3fd1c89fd078291b7c10fc63b7cc3a6d9387.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/975c2b9452ed1e154b5654be710b1ce8e671bc251aacb749755361256995fd88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/976a5eb63e3e915473f7db91492fbe1b1a7a56b25a93d8129a59aa0ead055264.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/976d7ab6c50b26413b174149422b69e62a192f09c59cd76290af3589da5033ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/977c99a3242c8f1342150370d3553a57f3c022a1b38d53b92001622b33ea91bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/977d1e960ee4cfdf9f4c64b822f15dc1686d8b28b800eeea02ea8b2fddc8e4b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/977e18c82f816cff8c6ba10db6edc32aaadef9a076603c7faafb5dbaca9d43b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9784464a8b6dff502f7217160ccb84c4f5bc94f81a4a9593a5a2de4c28878af6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/978cc929a9dc2eeada5440ab3fa30f05a0031fa1c4eb29d1f36abd401dfb3bc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9792519e59a605ab505fd368b743a5f35d4487ccea6fb167f40f730a0d43e850.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9793f28976595d051d6d338ce858534780bebcabb3df14d80e1b6ef4c99f02c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97a93c32c38ed4f089364f95cff03cf3bfc9d97f3287f1669f3b4b3e6ac95d68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97c10bb1d4841b8fc364e929f50818dad1989838a4262b876ec21a6660b424af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97c43d1320c94ec7bfbf20677ad9869c5c21dc9319fe644411762c08b3bdffbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97c9f6602738d2d311499b308a19e72765f151b37b3080a87bc83459d8335d6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97cbbdfd89bded3d103ee7dc1b4a7fc800d492f08743f7a84fdf9a7925db61e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97d0dbfafeea8c952e26d7acf0527526e5599fa6c54265a971c9b1a2aaac2947.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97d0f8ea7fd73cb0611ff767e775b03b43c80e6cb420862a7b100d0431bcf267.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97e151f39204d1a9f1992512648695fa397fb300072fd6559e76a3303b85e0f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97e3116cb4ff1daaee34829645cce2be173352471b0b1265887fa08dcd3651a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97ef2af0d61d2e97b3cf0526997dab7b08b7915bcb24df57559400f0972f3b80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97f43d510f3dd83404a6a0ee52b1f87f03f1f7f05e7e5985037b9f84ec2ecace.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/97f88a855148a990dc8399acbef2fbc8ec9493a64b1ae6cd3259a8bcc1466e57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98044ed15948ca4808dd8ba7f8f07220086a0a289f4bcd83fe10661f1bba6b3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/980792613a557efd1273f05b1d7f16245247a9af1cec2ca7947d3846dbbf4647.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/980b93d6c4f46d44d365cbe7c4af45cc742192f2bf8ebeb50020e6b314086909.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/980cf69368f59e458a9c1d860e1bb03ea6b1a89bc0c1bf450244bbd9b8d775a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98104196265abc39e6ccdbee8bf87d25c0029d0e5b7c31ab95ebe888edabc4af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/981148d21e7f981c626794e3416dcffbe61ee45c1efb4f6cec09fd195afb1dd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98178d3fdd13365846128d23ac554a430bc67a7db9df9d153b52381ff109e9c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/981ae74ada379e343d414f0013438a8cd053f19f60189a0c28aaa5b9e81b0639.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/982182aec9f3ea48b4ab6499ece00015c7ac8800490ac82d6355d739902ec4a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9827b6c5220d0d696fa89ccf436ca910364feb9dd2d4219b033b21aa92c074da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/982a227c41d72e7de8e80440757c7f65fcaca5034af371d832452b67d3eafaa3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/982e4725cb4f589e1e91dc1b1d5973046bcb131612425b30514346d2c0d8ff58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98310e4aa18850dc51415ee3812d1fa0ca9e60494514d52a8a3e5d79f3cb708c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98357f1cbe3aeaa231a25039cea534c7cae489965fa86fa281b6f0610dc7fb1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/983cbc9c0fd8acf4cf41e8708e4640a5ea856a0e2874814dc168b8b0ed39a527.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/984b4145dd531269e0bbda328ca5c60b964503af6680b1aa7c289f18e82f6eee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98735cf75eddf6cd113e53c68edf37c02a1324da2b9c13dd0eacfe5827b1a71b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/987f50e92e728118d416b30a73eae38710c310fca08d412dbbd0b71577f5878c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98820c184bfbad31be824531e68ef744148c7788303f18591b3abfb8db6b6786.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98891a96560d19051e9509fb69565d51e98c72cb53c90368d3daf0f98b83ebe8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/988d43bf418b68ad5ec8391edfc546b2c95e3fe59b099511d43206a7cabdc82f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/988e8e1a960905d924f40bbba2c59afcad01cc5913c8016bede59bf7ec5ee9a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/988e9ae6626ba28756cef692feec08c85e3a96527a490cf8ebd5391acb22bccc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9891a46e1f6235d1c45811b8460fda68bd1050d380221a6e3a89adbedd213559.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98971d2525117d2a8fb82c6f5aa254944876b238fa582eab43d9ebc099846814.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9897a8103a1c5866c2361e07517644552f61c8be1873d930134d910ac4359eca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9898b89ee6759cd3eadf6e8125f1eef632349287e0ef5f574cb5e4d477d1aea3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/989b39bd5ee6494dad881153b9c19ccc70147490d24f59cee567e81c1e4023d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/989fa7329da9c2d75505dc76bd1d8282d56b6a728aee13a3baf17c56d689614c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98b165e43ef9bd90688529cb904b4ac5859934a11a31926b085bb1e009113492.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98b1bfa15785d64b1b27d77caa93d33d9a303cb2ee526f00c3f72bf0f91e47aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98b23ac57b49c64843782b60a34a0a8113411fa10c27ebbf1ff3bf1b8530be09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98ba4b3cab74eea3f963ba79fd8a36bb7b81a3eff03ad1e0e7446780bfaa4805.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98ce3a32ba29ccd38b8b10f9d3dcbe2f6b874e153ef4b6e34c39d2f8fad444a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98d4c447cbf584cd680a191830d169b6dbba5cc2b918f790ff4af0b4f0a8f358.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98d6efc0b9542d600b8f7105df0ae6e6b7351203dd335f5640c5f709312ddb5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98e9ecbce5d69b9f0388ae47a5f3f7005ce9109e9cc065b30bffce2fcdea2e98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98ed83a3bdb78d76416567cc72d38b533e2fc95c367d6120a2cf6a11031ad1e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98f00a93831a04b6cbd75309e3598d75524633d21791921841e2db8148d5ec58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98f1a4d97c01294b18ea607a7ddb0a99717f42b609bf98d9b50fc96ad86b9031.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98fbdb70c4e5c7d8d3125672b0c368ed3fb39cd926bd9114ac3942e5c6e0eb19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/98fcf9e13466167e5a9f0cd8022292fe3a68658d3be756ed605190a0ba176c02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99024cf296ce27bcec465af56d56209801ba128b653b914b6d06ea3e22e5e979.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99060ea844c6f62fb2d3c76c54332716d862e15fa7a2cc103bad95b4855d5971.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/990bd6ef6987ef6e29d808a5cadf78ab05082b955db0c5ed0fcd53f2d30f1e2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99109280d7f7b7519448c5ca5d4535c51090eedc48f6f8c070571e96641dc885.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99260e02adb447e86e39a263d4498d4653c619299142506132ca6e60d1a25e43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/992631eeae44782cba640ed5d3d4709122901bac791215b2e2da515e0ca06966.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99309aaf73bf8bbc3065d3563aee4feb5e8bd9d158f0612c39c2c6553a1a0ad4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/993ea74c9d4bbb545883ecd57b72b0e61d4c7b0c1380437213916da771a25e50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/994e01652fa1a2e38e012e8e7ab102bfa02de0d168c18e63177807d08acd0c80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/995054c1ff180a47315cbda921858a35dc1feecb8b76a130154a292f22f81865.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9960a8036b8e80e6eff438d731d1dee8213136f7ae7816088ad69890d0c7f57d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/996b7b493caa9f18e2414aa0b23da4b7ebfdc87c74116a2eee5ab49bfc031113.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9972fe9aecc73904cad4628d6518d863789631d2387af44d235005d6dc79f88c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9982956115b8ef4cfe0d3a5e449825cd113178b4a67d74af8e86b382a20629f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/998a3490340b8a812822f0da59b282418f1d7ab1956bf58cb1f79890f56b7e95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99960e83439266e9ff081bedd25fad071acc4cffd0134fdfd9f6dc9b72ac745c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9998e5bb49331299f2c52baf4ffe349589dd7aa04ed76f9a91ab0d4d6c2a0d8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/999ef163db5daf4844e16cc3c3c033a60a295f0ee290e4a0eb688aa868f09fd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99a1f18908798d8737b7909bb4d39dad65678d3d8e3220799e5b0da78acd8149.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99aeea6212abc3a204cde0d39617c7e5fee2af2d237e15d92310b8706631cb71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99b95be8072ef3a6e6d26f3a092ba7a055e1dfa5e955f100b5e9a3159f12db8f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99baf6a75695b10f520d7849718302be5f9aaff8f9a585639c117bfae044ce4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99bb0659603226cae0a1a366a920b99997cbbd1bd4b3d8c8adabb28c8d1cde2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99be523ad527ea83459919f4245719bfdae15530d4b53cb02e88fac6f5bf1919.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99c2eaccbd9d1abb6891372b8c358da828acfb3d7ab90427729501396a06b258.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99d36f81cfc3830185d0a5834bf0d38122164160ba52a01888cfbecd3a705a75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99d7f5db38b9da90291d524c9cf9509e3a2264a72974531d0b81611243c06a23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99e2c9b42faf9c59c11a598ce3c3b34b0cf9e4aa8d3581105fc4c0a0a70d6461.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99e73e9ecd2b2f2c3559009d3ac4ce115994b80032658ad7144a5df87cd91bee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99ed806559525a695a17a7ef20c96b0cd63074164f558e98a71fa58d6cc682f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99f24ad2b0fd85bd6e8187136df076d639920587a897abb0a9dbe2c4ebbc6331.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99f37812b030f58a98355da34b8b7f3285d056d0056ae183efd2e79cf216abca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/99f3c37e4e0b2e9e5be20b928be71aaddbcbf13a0886ffca55e1951315f76cba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a0ab538bebea7bbe5b22d478b3cee0ac53f95e70f2413d92387fd6491b9eb0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a12477d6046ab6854aed3eef3e8a36f0110dad064142590c495877873821160.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a14bb2df2a26b8ba6204c9c48afc33bfcbb1d50db842536aec757339ed1cc7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a1636b8df38e1bd75534621e19171fe5f6445bb94066590035a7faa7215cec6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a1645000ae155520c6f31c4613dc7639dc059f19f4adc6cca47b1be71e7a4ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a16d78756e6c1d8ebb9c4f5d6bdd19c38228c6ce99a9e85cae0a2c307ad3a1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a18bf697346fa50a2137cebad632a5cf5cc75430d0ae403c3ca204dfb80a70e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a1d75348382ffec74ad273cf16069d82dc121f05928d3a4aab829dede71c2c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a1dc759e4cd62b6f087c75f95f465f5daea9aae5bffceba7590b3d3bdd27929.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a1f08c973700d9cb8f9da75bc55051b1503258045f982177390bd93986cb924.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a1f1e4638453db95e9066ef5f3a97d1b35c65deb111fd34f19bb9e95708d2ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a298abdfca33e284ecf0de85ef65f5d80a2c9dec88e21a77415c609e438997c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a2b9b5824c09c25b7c0dcfc7d6198785743c911b0daacf845a5703ad26ce3fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a35c512ddf356b349492d97bd33a15e2c1c16348f65224aa497f1d7d9166100.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a3aeb1a806c0206dfb1b1564e983c85ea14c2b96633ee61ddbf24e0dc07c7f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a3b1b3fa2cf32868d7a940a4986d281607c8c82ad57ec1cda6ddf0fac12fc9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a44fe4a080d012b84798ecc223fe6a5824e6f2bfa0881834200a278d1257995.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a4b30bbfdb7662aea8c66ca1c50301bf7f8f22a690e3ddc65a8d1ed2aa56f83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a4c79564b3c45e25c5cf95b8a75f037f2c1a9a3b80429583aa9ac8de503a704.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a5092ad7576260626eb7d944236a6107555a876c3887d27ce16173f5dbee50a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a525093d9745ff2767d97db1d2dda799f1fa212f58c7bb49f4a61e4f9255aad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a534cb589fff4f3d73c2a7d6f45d2e5831c34eccb56a2c66c718f647ab6ddc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a577d9aa6983fcae2c24ffa6fafbd06984c4a137f89d9f47b6df6129155e62d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a57ae4130064f4b035e1e288bc1ccbb19edc41e999add15f9faae7661badc98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a5c0e29a834119936b48ded9ea0aa6339a684cfd9389eab8af20fa2ce76917b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a62a1a16768d66abe71047177e235c19faf212fc14a62e51507263d7de7eb82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a62b1df36875dcd22b8de1519f59971a8dd6b5a0fb71099f825d3bade97eb85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a6394572b6bddf40d7486a7a8b7965fec0e69a5e3879ec46d0fe901b8cdd3e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a64ce1c8defcb741f3e2831eb8453c7c856e4f90b4d41670ab038d52ec1c768.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a65609f86fc3c0bf9b964becab882dbc81c41f8bcd5bf906c93bf32e2bf11b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a6f208194e43b9a5ec8a8ebfd666216fb6a2d5d302ebacde432e1f395f62e46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a75003cd9e0cf6382e8036d9ee50c743655e3709983e52a9fb96641b133a635.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a7500e653ec9e9e0c7f23dfbff542212a6bd5905d4a7d545f1a829641400691.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9a8784688bc605238896797931edf7152a03217692a4c998b98f87995ca3cbde.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9aa72b0699fbe03091c5d3a127052dc04c17d58b8d8ee00972dfefd580d934bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9aae0978a27bacf95db98975a050f82df5bb42cf207a56f6f33ad6401c4622a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9aaed1ae977e505974897e67c6ce9311fd9bb9c73ea96cf5858621bbfdec3de6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ab2a33b14d67b3abc620e785d92ca7763bec06dc14c943cbe2d48884f3d7321.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9abfb1ed9b899fbf0daf159253dbbe59828045d94b57f8e3093dc3300a1f2b31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ac16e5f98f07077763a612fb0de7e5ce6a468aeccd7d19bbc557577069fc166.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ac41dede10814e15582fafedf70234c498bf291b263d9bcb5a59250d7dabfb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ad11fd9694ce6827e3ebb447c9aad44c7a564b8f395e714a21f08e99bbb0d1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ad7051fd32b150ad9c46087ca1720168f9b8d2e0358906a9315dbd102d5bbbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ae17d3d4a956a29592024ff424a446253fcbec6f897a81cda814e07b783af2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b0c67384c20ed1942d867dcb36314636c6602edc21081d01939865dfc47ff74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b1091a7a8e1cb2d437da85885052a3ab497357addd1a831e78fc937b7554c3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b12a3b1e26f3225fd415ff2553a231c669157c15182d21df550a511fbabf29e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b29d96b6927f394c345ee4d66b98df5d9d8cc055af94c05777a21616e705d83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b3064a189b22a936e862162be9f7193c706d10a64b46407161352d0a712976c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b31f13299d122417be898635f7ddb5be8ffe43728d62d8617f9fc7f6d31e0e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b441c7664c63894695917e9410c6a64ce225d131eee799270b21e1cd0867dfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b6ab6bfa8e70507f4aab3203f39e4d8705c173be9a1daa56e6eee3416dcf336.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b6d519959dda3d69cd8095411b17d2f81aae4fe7a45fee19800afa57fdc8789.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b802429bd3edf50f6dcbb673059539697e64dfd18c9c14176a0e5a98058e575.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b82af7fc1ebd114454afbf53b42787f54a19ab372c4abf0cdec68038c91d0d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b91fa89ae1e759be7d2b4a81e5b7854df69c6a9dd5c3c63603ff36478c94a6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9b95f24057f4a8e90fd8ae3207fd758acf97fdd2478845529b7bd99aae74379d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ba35abbefd5811794d1e24a7602dba44348c95ac39288f7fdf36cf53dd3a984.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bb04f6fc3ade08f2dec63d5e01a431ee7a29ef0da843a6373491d9eb5fce6f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bb28531e418db8f103ea13b966dd901bf625f3e9762fd684dc451fbdf24eefd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bb298865c05cca4ec6ec6c3483e6d746a87c2c744b2f881a748c679c9a65ae0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bb7c4d57df99ac249ab037eee4415e21b26adbf11e8466b2ff26a38b4b7c477.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bb81cddea1aded63d65db137f0f39c61352eaf6f133ecac003c83c321557d05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bba94048f3564b655dc9a629b669cdd30e4ad43615a0a8fd1ad1107e5e89412.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bc65c3b9054958a9375cedc6c4cdaf6425149de8eb7e1c6cef4d8201391e4bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bd480cd35fea2711cc32775bcf915fd2aceb5bf9ba96646d7c02d878a054d52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bdf600dde9957758e09077d2f658b5ef82bc113ade8d2dfb15d520e1b636e16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9beb51887d0d26f8ff21a3a0aa42279c5d708d1a239fd383ee0568dfc2f43882.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bf0902997d7c2351fbc11a06d6b3e6f68e9a7fef53499376c9e8b11331c5f9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bf56c0935028d6ac48f36f53b42a2b6d9a3c93ad099b80a64e8879f214ced94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9bf9956eb2defa9f3ca7df4688c8ce1f5e734aa5c03124083f26c42fd0aa427d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c0db0e0a761c6a0babe35d20b4566fdffc3d8e317ac74422cb1b96b310ee47f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c0f01fbe499dab46857e4ddcdee3b3c3c843cecba8d48f1fb256af188b86426.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c16e1a6618d39c7e94e7274aa36eb689c259293bda03a7896871d107191c3af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c24cf097937c13a060cc36924d4a4e792c1542ce26f65f4772caa41cc5e2261.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c2efb088c51d0881f369fddf816a603ee24baa7e6c2659cbf522f667ab56721.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c3b374766c456eda84cc3571973461b10dda17be7fba42cae7959aa89c7d110.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c46e93be94c38254c3e9e1ca93a426da400f2a5619accd2faafdfb04e252b61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c4746e8fd535dd269fc3125ab104622381c4d383b4d92895f3837b3f424a4aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c5da84ae2cdd535f1c61d2c7d1522b447024efb791633a3b6ef4bc697bbce81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c69cd6bcb522e6bc8e8772285dbd4239c435d0c4b83be9c1026b9d0ea89fde1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c6f9d8f6f7ce1ce169800556ce5551793844875b3ece86cfc910c438d779def.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c73c809be658467662f4374aa257eb1cf592c8ab58ffe5d8c3ca603df2f6565.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c75ad35105e327304a96725e8ba1a780e1d9bd85899e42e26f7105398bca132.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c767caa1ce501d1efa60c754e2abafc3114e3fff1f8b3bba9420f2bb81250ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c7aded114ee7c66a4e09c351f50acaf6cd03671e9c573178e76f9c32b4b9ece.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c7b7e15005771767462562bdccd820a6c21355a2e52161115e34fee44c23e78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c7c8a7773157f6800ae3b2ef1023a22ba3781658b6a23f9efb97f668936b65e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c7dfe74db6c61911f2a7e89f3680294a759e9dbe6582a2ed64f92a73843d345.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c7e12547d155503c5182ac831a147bd28f11114d8a5bd37de9451abb7aca374.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c820c920dc4cb703dbfd724b0da8f7504a0842a0f1387ea08a3b33a6c4b8d4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c8634abd84c5e4ec4d3e087672da5c2ec88c2535aac00e8b27d65cb77bac1a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c8d7cc8a0ab4aaa61a46f57bbd509231e4a813714fbce2a7617f9a511997fc9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9c9d67f797bde783a2a4d96ac9403f712dfbcb5a8abb718fbb45db4d27707791.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ca0ef62acd9c259dca18e2e6583278b12ef940d6615b412461e352fec239105.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9cb727715aa6e1abf98b2ea564b6685ce1b053178d1b3e349adf154cb70e0f88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9cb867686e78051e7e151b623568f334177156ff096711682476bb2ebedbb573.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9cba7a026569094622aecbb1dffc5d186566e994cc7991e9f90b78a797f82010.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9cd0019d73cd57a92adc0e04a1509739d520d200cdb4c816cbe34c81720bc42c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9cdf4c95fdbb69aa08f69e03c092161839fdec53252e3d90b21f7828d27eb1d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ceae66ada249defcca9261aee719648703be95ed6cc54ecde4ad5aad1cfc205.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9cf7ee44227d708eb2657c54e2bcd450adaf093ecc2f60c814a04c5ee7476114.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9cfd9da3681d3c200ad3f78b624fd2ca2e3be0131cdfe19cd558470867b720f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d0574f6178203c06853689c64702bc6b3709cffe68e9573585a8750afd35ed1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d07bfd58ccf79af88690565447b6888ced99372e5fb6f29313626545861d582.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d0bfd402d35d3d8a27529143c3c6df263267413ec1cb32f89d889064532888c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d0f0c415c9a53867a2e542787a188938efb2802c824d18b5ab121be5ef8b16f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d12a52351fcf81d777d68f51dca4c31a5ec283b352fbd8eda75e6213356bc87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d1d2098f329c68ab6f4822c64f17959d2f18140323f3b609b4dcef543494bae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d217a5003ca468e541ac63407b51dfc1b71b32ace36ecc57fc23f6e105894da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d242681af76f1c720c560c8136bb3eef634770c72b8524ed839cbff4fdb42f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d3209b1d2554362d9c72e1b7239444de3b8116350356401228469e12f5631a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d331d9a38d5d1f2b215866f1c872d7b54b75b9f92bcb2d446242752bbf5910c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d33e00734bf5ef41d89b5da5da08405c524d47f4b4f93fadfd6aeb53eb36a4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d39e6812b170c96b4776c09ba3b67652892a82c17721ce2eea7bbdd9df27dcc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d4b42464909ae6dfb4722ca9d56fc427a77ce126bd7596c2232dff3754f9fab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d4dc7c3f400be65608f08a2a17a889e5e0bbdc6b63076943198251bc773f9c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d54db9a3bf97bcd5e784ec1239e8e89c5af8bd747dd2b15f7807d30987dcd41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d585bf7d44b5fb5d1980906171c487780372f8df13404927abfc343b198c2a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d629c113338a799a329404345bf440e37c781ec8c275cb4c31a4c819c8b6883.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d6ef0fb426cb5c9f61bea7372ffdd6f2ec773d07268ffcbaae1bb61938088e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d7704ba677faa8578517a7382d86430c149cc494afa76f011d1f0b3a4c93d60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d7cca28f502c3b63d39b6bb1bcc22783c1e77edb4b2080212816efde83ab92b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d7f9cbbbb54759ef6ac46cbf5be83197c27f81b6ce508b219a4b849cfe6fe7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d80a9b11d2162b774773ba1393e19487c1e390e3ac02c901b97130b58887b38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d85bb7a117a744a5acf07b36cb7d665fd672529f44a01569a5db4e2ba8a12da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d8a0d03b93ebee0d2c1313bddf7cabeed8b5bf9498ec648ea994309268291ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d94339fdb088381b50f42b5e6754bbf5e3210bb088302e0538449b80467ac7f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d9570f454c31e12cf498be43a882fc8436d4ca939d036b867f45a1d34f2647b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9d9f22e2ae511a8d285bec760d700c11e4b0e5be86b33af29b046ee24531e3fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9da2a736b24c8810c03f24b00f6885f3fd8b8a704cc86be812228afa34eceaf5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9da615bd58b997457db10a4ee26184d72b131187246e9961d9f5055885291dc9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9dafbe04e8e0607c07be1498a4c6331ba8f1586f134169f80d2350777a0beae9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9dc7504bb9c972b2174f598eb9c1dca0434fc9f328d297d3cf13a0b77dcbcea9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9dc7b5278326927e26ad1d506d056e5b2c95a3baf6ddbde0a48ee09d68358bd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9dcbc02724e019b122f05cf9f0582693cdf31a4d308afc9bba80ead0bde7a5de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9dceb38c917dc133887d28336b0c6874686c00e2ea09cb3d2b052937cfbafca5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9dd5d12ee9b09a451d70e2d26fa904b61b6e8ef53729c45e1b3cc8a333381caa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9dd5edce4ecbdc3a83c319bdff317a5e303802e16d0a1426f049c036b70839a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ddfe2d8408a40ea22ffb5473173da7b88735b1194aa974ab157f01755cfac29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9decca8695f69588036643ae996bf485430f6553b4cb7563103423bee1dafcbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9dee1974e712edc2633666a4851d87309904ef1634ce2d3137fd7d5c9514bf39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9df22731e5bd5599cd55668022625a6abc1e87cbbffd9a6866c8fc08d9bd7d45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9df490ebe4ac18270145d1d61668064b1db18f1f9b5d1f9b6546f061a564d45b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9df49969c8e1cb7f7094469528a76aa8d3d9da866e527a4111a25c5f06e5cb99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9df9926224acb7af230eed80b58ff60b88a5ff86afcc657c2c7a94adaa9bb850.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e01b08ad357f4766b32b0f61cb95d7278fddaba5a692e4158a82a86d88ea97e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e020a093a55652438827b8398080f18f8a2048bbe9b3c1a9a48c8db28ef12fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e0c286605c9d914539a92f881049f0a3b0d19b2e8cb3470c48ee78280ead8a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e1354cde71859be290bddc7a53b25f84666b419d6d8a8919291e56e95cbd0f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e17c5aad2155829f386c07cb0e03b896361b39edf42f2131e90d0de7c948ad1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e186646bd6b6d24f14514c97d5f09853e133725a2fd856c4829d49e900a2a6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e18f65e8e8c82b30ae5816cb07e22982ebbff74b061b32bf65dbbd649c556ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e19174d6ace80d03c614dad5bf0b5aed26a5a282da20b1affb49ce237a0238b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e1eeb9814e820605b5b4931f8bcd4f7359b0705803a7671aa8321a402feeba7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e1fcccd8a95af950e7125813a2f82a6d1655172a001133f7c18eeee78c229d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e2d6731838cedb5ece385eb4f5882b441f2f9574014271d72f5c7c0a26f81f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e2dccc4293d52ee99326f88a976284491f3dea8230bb321b3ddc6e9ae38d332.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e32647a8469bd8bb3cf638b32e886d96c6b9284fad3448dfc873fb49924e97f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e3a1999aa640fa85e4faa5b53b6bf02337c56893fc997a6d2e3ffd0d25f1299.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e3cea9b3e1c7a46e5cf41b819590a404aab15852782f8893a6573b03c92cdab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e3fa62e50a952a0b2a378ac990f65474070498c3bf293bb13f9cecbb3ce0d68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e40dd716298455c9b8ea5b93450c2d63a5cef6f564911f8d46af5b3ea2de398.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e54c40fc48b50fbbe1df50a20cc62881559c188ad79e5563b98af5f93ef8cef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e63d9ee31460b4e414a4ab32d0b1fe34d6240a6c4f75269ad8a15dfac58d574.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e782e511f25e6cd4135a9d52a02ddf630c5fa3d888251bb455744c8fbff7ae8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e785d7a38a42d8c9d255206c4ce0954b05e7f67698205c74dcc538d9fd24cfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e79902a6b643ef136810d2127279deb50ea974986b12e111698973a2f229147.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e87c9c132f8f4bd545dabe3f7ea1d4466baa2dea03ff476b4af866d61cce80f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e97ebe421cc554e1052b1629b2ac868191bdbb8db88f4481f4c6ff60f83f8f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9e993919391f25e4e3a7aa1b5473ba0b5484af43a56551ec500334101c50bfb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ea332f45555f6ec8ec91cc9d2912e0cdfe61bbdfe96d831e0718a6548427fb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ea9762ed676d2c35e1831cb5781cbafd2f8415dcb9eecd2c0e31e98b3f80e3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9eb76820a6666704218132920cdb37d2d4c9b730765c2cbcb279593662859f9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ec49d1ef374bb1c4b2d7a36b77537b192dc198124693741dc4e8ea7ac2b66d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ec5cd228469e2231a5de49a3102f802514f1bf8f127381f1d8c5c5d460932f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ec5d1fbbf21f37263b25901e736e94c2d9f55c0d802e60e803c2f68672252cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9eca91f561afcc4accb84a65c8f15b607bcd41aac2a6c33f01f0d88a480c4cc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ecaa3c2e1c53f69b95b8803896ae21d4a405d7806d4dbea2c6a8f453c8bf30e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ed341f826d5d93bab160fe153a5dac00a50f8b8f6d30c51ac9fd728a8217838.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ed4e74be61c16fcb649d4b61b2061e3d0de610142ab8b5a14c73dbc835211c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ed507ccf3f0d5d22ce2f4833a2f760667183eb140ec5d1815c94288a3947412.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ed8ca9aefff057187d2f1ffbdac23c1f669bcb2cd14b51eabb5d8f1db70e2ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9edae84f1b07dae668ca8780c76b4f18bc495038c0cf48540902a224602d9963.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ef1f4777d73fa3c20a701f04de5079852cfd2bb19ef22cb103737edaac39dd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ef60e60218d9b715f11e4b7b9f1218f2d3d38ae70037075584e45aff99c8761.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f0172d779c0ec6ea2b1561be2eeedb3e243ce722bc9ea5dd7a90a7137f3407a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f036d058bb33c5ee38087e5cc0ee8b8a8e7797cf283fe8230c6e49a6df47f69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f09b6c242ad12843c7bd4593cea53456370c7ed522997b3485062181603c926.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f0eeaec8c229388a8e84093b08e4a3c9907492df1ccb2ac3d3719de01fc02ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f16a4df5f59cabb09679eaea3fe2f71a743f02d71d0935df3003655e94acf9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f1f528cd0d70eab0cfec1e3622625fbae79dc146dbc70007a6ee1aacb017b6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f1fdcefda5996b622cf13734b46f5cf0fb430fd926e7ebc9af00b5baa928d02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f230ef7cd214e4d6dcb7bdb5e85a9e99f11211a2b99148b13f2bc9ed8ecc1ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f2497b1d699ac95c07386c284a1a38c50e202e5f56f3357d31133411b149529.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f322f5e4685d673dabec99646323ee4e14df030776526be0ee3ceaec8f871c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f34d43c43a314a7e84e02edf5532897f67947e0591524866b577852aaae650a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f397d90393ff62680bb79e68d5075ac501621d8483cc95fd6eec1041603cbef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f41eb510ef446407594e2ac02d8c4291a08a342f8e0f366e16091a793d6d4c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f433fd8388fa6640a73c0bfe8dc10b327b143dd48c904d6bc950214824ceb8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f473f90e47bc45310f7d753d226deadc4ceafe300a8e6fd729a7fbaeecb504f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f4e107835eb29f2c78425feceb5b06c7912a5d52c3fd2f3beb5d9a57c7d9050.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f505be9145981a4c8da1a9c9f2eb48a9c3c4127cf877c6080072fcc54d8dec9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f511c6b94be6e40c777f309314d287bd60f5caf2cf9c04193d8e4569cc46d31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f514324f1bcd61fe1fc165c126fe4939e8e5faef437f68e88256b394f28577e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f6223278872cc09fd749a21daad8450233a5ac323458b23ae99ffc6cd07a75a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f69012258de7f40e9771009c09466fdaa67bbe48a1596e8de031c8b2c14e368.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f69476c6370a79d001ba594225cca99143606844366e3a760836e99606c650b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f6a830923b746ff0ccb4b1bfdcf4106b9ca3ee4f6139aaa0b756e4fee4ed863.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f734cc950b9d80b20d55759219e3ecad443be1e1bc888676107eab0571212a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f76f07a0726c8c79959aaf63af49171310b969bcc867ab3f26f16152675eb17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f7e2b457e664c0a80d5a5cfaac022c97350c6aee1c6f1ed91a73b6cc3239a3e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f85213366346ab45572189c91e71ba2495e7ccd058445bba4b490ed66bfeb3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f8534a0534048bf7ba2a196dfa2a00ef6d5c56ccf3493677740956cf042fea1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9f8a2ebe47286fd5a9aeb8cb3d613a0d75e86b1a627486dd2da4dbec487cb7e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fa7069d3e85f40fe5975e128fa2e12cedb0369ca6baef2d300213ad8973051d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fba59f52981dec2c87586e8f94a105a595e1a3e00ece124a91a8afb793e7b1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fc62a3e24ffe45089918409a36934206d358b08a01f1bde2360daffc94ca32b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fd24a3f8f90bfcae306d2659004c594f41f205638f57129ddd8546687a80712.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fd7b745e28b583457c61ed3a777d223ffa90b712657c93bcf8670e6b4277238.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fd91bb80eeb87e9c1250544333d2dcca6f2d812762bc1dc95a6ee89c44be551.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fda1b0031d09efddc41ae8175be82e631832fa19c4e29dea7356344eb8e16b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fda6a30ff55da2180cfe27477d144ca1532e767404bbe7e60414d5b8d5895c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fddfc3d9ddd4885176d55b468571a1ee396ea5de759922b17cb5fd0c9c92b3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9feb02c3c9f6c7e9f64bc53cb4f49c7753f3311eb30d35777dc78d4f6093a2e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9fefc0b67fe72419feab9e9189809c934ba4f2ae2523ba29d11c561d43b68dc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ff247980b90089d78b2a24c5611390b8a73669abb8583555b83bca1fb95ee84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ff35e729f1afae4671a9a8d6adc1fc7fd9184a74578d8a08b1c81d6133486fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ff3ca52a9e519d9138f5b931594b8a66aaff0c458646d47266be190e7e7da98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/9ffb1703110b6cedd4e02e24518875f45998c60ca19c0d3391c4ddc01ca5db8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a001a9298b0430d75e7be07426e2716d79e1044947128fdd14cdc0dfb85712eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a00201311648a8fb8a3d994b42edad321d988990e2f6b904b8a80be5df17ca6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0048d1219de3441fbed833d75f01dee4b345dc5e7499f0514fcac09fe5e9504.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a00827db5dc9bce7c7b8dfd33e12176a0e98b30c4e396be879039d3ee10ffb39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a02b0b174416557b15465dbfe850c05d2e0d1c611b2c789d55c712562e80b14d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a030fdbf737baf3c54776a6bae4b8461a9bedafa2a628767fd65470335a491f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a031779ae3e1bc8bef43125050f722a15a58bd4e8940a7e719a2ce7d09664ea7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a040bbf78f694ff57608b02944eba6af16860f50fbd66bd327a3cb9e9f52a071.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a04367d815477da08191d75ab279cd8a811e4b5364332adac8f90daf4a4a207d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a04edabce79821eb20ec5e3a562ae7e158fe8a17266fa67abff61933732e67da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0524bffed3dff9ffc8e63d3e7c9eb338f5c470d9244c9e1e42a937975c6f7d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0533b759b162308831b9b56a934e786bf2c0240bfc8084cdc1c3eb737e765b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a058fccaf3d282c87305571bf7fae7e57ccdbfcb224acdd093acd4fb7ba4933f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a05e4cc9976041c0b22a00af166594b30e343aca96d58ffa825cf4f038065b6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a064f07ad16d6bfd43cdb99b989a7a40dacec2cd950d03e396d2da76f79e5385.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a06a86538c6dd82729dd3bfe1a19eb1d6e47b9fb9290043c96b59d1c5a9f9d26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a06d04d22cb303abebb618a26aed2a3e3117e61801698d7f2be5b8a32575178d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a06ee49175b6b94ae2433eebdc3df23cec26537650dd5d0f79440a6a210aebf6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a07135e37efafeeeb96b08d4411ef48f2a288eae08ddd0252782e74b1ad7c087.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a071a507e66f69108ec9e7d5b6e013ba7b5a1db6c39739fa76c679ef71e181ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a07224a7b74d2371c9a16200c856644a070b932a7e15c4b26eb02cabc80fa82a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a079f6edd7ad546a99105e1b35864624f5bd4ba8eb9777e83ca0d2d74c815b5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a080faa7603117aee9a204c2c44d629df19b934ab5b378e7ec84a9d4a5042965.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a086cb55e6995634b21aa608d4bfd5093864eaee7500e932e52fa4954e85dde4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0907809fb4b90aa951a37db2f89a6d986bd8eecb452e837a2c61e821973a345.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a09b8271da0cfd355cf0720dee9df9fb66954ca2d779934b10b405baa7a90324.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0a23014600fe8a5b879e8c6b0f6af0a45945c873d0853800162013609e70f0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0b0542fdf33330e01539849009b2e80231265a4851f495944c132ecac08c8ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0b5972c65204b1e65d87dd4843772b596505c546ed31fc3cf18bbf4fbe05c59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0b7a520df77c9a3bc80aafdef1e43c1b8afbcf7f61f69eb22456c780cd75066.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0b7c3c58b133fd1dba20bf00c010b3936c09ae991bcc6f760aff24ad3c6263f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0c09ad677121a944f5be81d8cec3387b648ad7c6d2f5c22fa20abc072da48d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0c2c0574e3a62bf7b971927b808df14db4ad4394d5c5449220f95671ab74b31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0c596d9a0824e6ad9e01231441bdb42676ca9e8f57ed68658496dc7b71fbe8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0cd2aab65c71c76222cc94437c7755f22360880c6edb445f9865b09490d1744.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0d22e24bd3c24aa8cd89d294d529ba6acada1b3fcb4170d83c65c12aef0e460.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0d368ca2df962b883b62a9822410f6d3ecaf4c07b48c7fe2055a0e0cbcabb85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0d3f56ee34966d3cb51421fe63b6273eb1e93f3a41148b0013c5b068f1ad7fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0dbccf7602794a867bf654118b99e947c5d604442b24f01852f0df4250125d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0ecef9607c5f6a6573cc86eccd345bd976fe6faa3880b20322531eea52a8bd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a0fc69f03a2c499e9d1eb027630e1972fa0b782723f608c6d4a1096c72fcfc29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a102d0983157e9c4c31759864589120c448807fd34b0f0fbadaaf8d5581d7534.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a10a417eeb63a1e410dbef37f25993c3a8e5c7db512f4ece1f73779d842e414d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1120f56df8ea9b7893828b741a795cc2f14f445e0c1a18c8e47de04151c3bfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a11335236d50cf31aa92aca3d27647da8a6a64e57bcc81f0a01ca72cfa1c5dc5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a11941a11c79cf1515ef88652063001fbb3a2ee0bb6d45b2b7ab0f322c367e03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a12114ea27dbe041679db0792aee52c597fab445306b269e04a5a63ad2fe80cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a122266726deb37ef23756ffc2f9affa410716c8d77f2c48196f37979b66af3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1248826be6c8b08a795a4a1601b37898f2539d9845b70fa162c1ba7e8f7d785.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a126b812f03309a44970b3dbb17b3a0da960311f214e08aa3afc900defbd1bcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a12752cf6843d1c9f729e719f2578cbb6fc7a281c843f9a7db97c1b0126e0838.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a12b2e9a4146db7899f8d6b0a75fc7684e8284fd9dc9d514e36feeb8687ba297.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a130a9820c9de92786e453615e60c460bed7878e2703d08240f8ecbd69d86fb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a139804dbd1e8502a4f3a4b270a70928b8c8853c4f914b89c4b7c854ed95bc44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a14f439a79f77c330a988e7089eef2b381996c7abcc3c6da349509beaf595854.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a15bd27866303251b903318e389c566be3919d7093e61d66ffa1525d1cadee3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a16aaa38cd11bfc9e8580bfcaf5803200d3c5fb65ab5fd499b03feeb295b2d06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a16d5bd1aae8ef5af88703021ce448a2ec66c1625b4719a61d0ad2681efbc969.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a175040cfc839aaff91987e656a2acc696ca1f97ddbd0a44fa0e5e194e9cfc7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a17a7d55b651e8e9952e19c0c6062fe635280b81695b413f6e3762b8c5685a5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a18080d54626861861b9bc3ed69d427891facfc0bfbbad229686e1ec49514b0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a190d89f02719efee69670ed27dc7b7bde0d542748a2c66f6a24fcc2acbb1471.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a19d47f4ca11569da34dbe2e25791c4bad52bce92f79b737ce0f6f350bf6214e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1b1f13d84d9470618496bf2d33daaf3abe50010560d1a17323b68b0ba47ff28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1b9d35cf892f38dc396c60436b1eeb1cbefe374503c3df0dd64e84e47255f51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1bb87922f28dbc809b585124bbea87ea7a433168894d8109b952b871ff741b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1bd79dd05c9b535829f53dd483ce3631eb03acbe5080500647ea250e241451a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1c42a362a86d8cfe6181acd77dbe75ba36552d1811312c836ae3ce45d6e6620.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1c5b4e6909360c0f3b01cc66b706b63ff4ecb4db1636e6a9becf1b549c6cfb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1c7caa22e9cd1ffd6064d57ecffb66f8e0aece4b0d4d0834bbfe988a4add76c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1c7ef94a049691f7ac84ad88142270ee803c7e6e889396429bdbf5f1cbcdc2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1ebf3664821be4afb783eb8f76948a5a690d47582cf1cff177964af16d5fb3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1efb2cf5e5b1ce44cc175001a5b1aa33cc6e9a67642bedaf14c5fac6edb32c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1f65b663b3ea912a5284558b0ad101b1f3f30d645c3fea6d72f4d5bcf00258d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a1ff9a5b299ccb036688c9f2137df9fa2a56d52b03f68d3ec4f5b79032b07ff6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a200c61412c384ef0b42aa6b45147e6ff2be70138293233a54407e1ba26d8d00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2042503f703e924da70b8ff3760bb59ea4fa66822726fc7b777ac3ff1ed7b23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a207432b71f6c825452408466c2c4a7e6c1da7a189508ee499f851893e0d2ecc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a20ecaac644a5a0db515bd37a95c95e0651ee3c594d6f25f287620cc134a9e21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2123813ea3341bad5478cddcb6176f81febba48c5e9e4ee1e5c8fd775d1f2b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2176fc1fc37f9a8b31c54d4b522d98bd7626c54ada31aee4bfee768a9857a3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a21ab3065717761da1e9c0af0fc0f719e052c176f441f19e47b2aecc85496d2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a220973d34b3c50690563bf8b3d3d0c29858faf4773f7f80d9c586fa64c1490e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a22438f4596f68de58647ce3b6372733c7e3a17cd9fd550e829ef6073fa9dea2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2249b79c1af97668911d279cfb6820d5995e01032667d0d418f746aa78c331a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a232be30d70acc2daad809358ea1af28eb335c3881c570abad771178979f6e10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2359b39d83afd8b165fcfaae86cb1b7ab232e564bac64f775e5782685961e79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a24f1349336f5bcfc3b3926a3e6be8048cd383c74fea42212f9d3995d80198af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2523c23bb08b6d2cabd4416d9258e28a9a9be9c9042fb7779bd1bf35f5f0820.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a258f53009c429c794d4a443fccb0bfda1720681bb24cf8e65962b0f9ddf5124.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a25ce8ea7792309eefb918723abc800b47f58c55f741ceb08c19853787061ba8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a25ea221ea65b8fedbcea16eed6d1f4feaa474bd9714dbc7130639bd59d11924.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a25fa6604a454c12ff7d83d57a028ae755319ffa0f59e86e3b7f3ccdde3927c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a26b4df679760b8870b5dc5d584e012d9520de4f1d1ecc9d1103ba2db04c489d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2756c67ff167687300f48ed1430cb686cc15e6f1e54b73162502f80796cefbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a28890a683b4a0af12cd8bb540da9f51cf3d6a3f0cd39b1a6d127f543e227d78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a29952825be4a9a647d395057ab13474e971be8af1aa2f7ae4af05febc5b804b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a29ae006e5e2c08fcf892078b4aeded36e954562459038fe2f2bc2beda125414.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a29e6fb34baecd99951a2f11cecf0deb970aee0feb827b8a89c2b839e8d114f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2a55732c73780634a57e6b404494a4488b03b06cb4f1f04ce0449e09163c382.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2a897150ab2648be351ef2139278ca5508f6ada94f4bba4c80332bec324a91e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2af87fb313f12690ce6eb86914ad3acc0279149968d6aa845c8946095600408.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2b82e84bd791af02f79621529aa6b7ec2d2d12356e19e6c4cd113f469286328.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2b8e5399630c074f243bef979f1b2f77d91c784e227d987080512effaa6c5a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2b920998794c0e6be638428a01eb78b6880892762dd0f8adca5e8d1f1ce4d86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2ba35fa4e0eac1ba5cb595841b11c2a46827e0d1b3c3566c3cdc1448459ebbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2ba39ca4cb6f61c221bfae1bd0d9a168744e0ed90fbc38458599e4e83f32522.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2bcc6bdc8e4dcc86bf320697379e36e7f6e5865456d9d611924dd961378faa2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2be80027d9a71bf176487405d7602903aa17788dd2c6142177657e0aecede1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2d4c2f57270ad9952dc0f2a6a38ba326771fe610ca5e339a62f91d81df9ad8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2e0c113f6a0e863ab6f9cfe31180b8f5fca91ad78e5dfce8af9a17055319a19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2e63cbe181269c91276fda94f0971b13b1f84bc5f2ccd2d1539de21d9d4ee6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2eaebdc0342afd06dad8cbc4b4a133e72213e97955dd50f130e245e2b0edf30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2edbc5e97725ea19b309a933ac1b674f6ab5a2c8f6458640b605ab39e356e58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2f48d0286fcf98b4cb2b8e50ab19b85f001430dbd89a84acf6310b0018d20fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2f51c23e55bccbd4648cd269f6fe51db6bdff6d26de23954864ba78d99779e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a2f8ed3dad19bb2dfea85aee2ea9d420b55948d9a213c523908d9d2684bade62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a30000d24426bed22cb65cb39beabc4bd6a84bbf5cddec0bd56962c5376e21e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a311dad5d7330461770f5f66c2f7e8292e10516f9197c3a5938f47735ded9dba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a318432cc6e990c5e7b36d046eb05e04da9b4f3cdfaf6c04ceee2b4a37c2ed3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a31c04440dee032cd633241a6372194249e863b741a589df944cdee7b77bd3a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a31ecb9c4098cdc42fc1a00e977cb2a3648597d5ff7639e13602492469fde918.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3279e6b747a8c3c328898479af2cffb031082142d48028cba2d97f88cfe84d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a33fba8b77d44a4910901ab6d90c401b9428b29c45f5d519d365fa5643aea30e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a34d1ee0acdaac26df03f0da38cd9dfcd2345fc2de71e0ebe054cfe4e0c850f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3524bc0ac602cb572b158b46d10a61f0f412f48214a303f4658ded4bbe2336a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a35a527701b7a3a63efa6868a3ccd62b7ddcf784061388c568a04a9cc191a691.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a373a0e71ef33e6d5a24c83d3a2701694adbc45ee7a4c14864a0db698fa09c38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a37774070bd0c794535b03d2fbaab91c11c88e5c7a2ef3221685f887072fa4ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a378f24d6ff72b5e77f7aa2b93dfa89ae70ec5188f5b79d665f20e3b5c962e7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a37a82df78cd56e2077d0a00aefbc8a4ac244a925fc03e2ca153309de62d0f00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a37c5079f84f3099f1f15fc993bfffa2c6638b74703f00e1970ee745b172402e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a38c0c098f8b263fca9e4ebcd9ad33dab153076366d6d8fc093966909e5f52a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a38c6e6d19a5a51c4925aa52e783f293c76f2554d89eda1e47488afe282b3359.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a38de5da60cd07ef45925ac7839d5e4c67d9e643f34002e5e58e008808e77d6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a38e8671562f761a402c2bcace4a8907e3bf3a10b33f7c72f73f0de7fc7b5fa7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a391626e031467cd83bed52d2da4635ee676db9b76c66e47bd23e12ebd421c62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3a724639f38b0ba38786c1554591fa5d79180c52175b7f9713882ab634c432d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3b39f6b73f3ffe4531e0a0f20e83ef9d7062bcda6ace9be470ba62819710e8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3b754f5f10c8907f85bbdaff3c8c780196c37d7cdeca1ec0c49b1cd4add69d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3bcdb9911ebd73b3df6e8fb4d3b92e61f354ac5ae76b950cb6d26116dc2772a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3d2dbe5c615b4aa846d467915c6d0014af014320d2ab25fc3e781555f5f072f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3df4b92eeafc9a3ca176f0cb670e221c2d8e51acad604c3fdcf560a7d0022e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3e2c8694ec8c150b6ac2a61317c0853c05b73989cfb58c412e129c05754d9fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3e485a0823b5cf0511169a3d6a597f1ce1696b61f8f50351ebb52af1815cf8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3e5cc4e21222742bbc8bf1a80c355f245abec4451ee2046e5a6ee47ce818a5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3f831717d3b9a7864a2bb7f59c790b8ae9f49612d37d59f91cbfe422c656987.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3f8f167216d2ab73f0160f0a63341ad44c4eadbc01c9d6bd00cc569181a4d51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a3f9bc9523a21821f649b508e21ce7ff27cd58a92319b32c6f7b5af42b83788c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a40538a198ce4493f78f9d0c5070c6ac1a2b2de2629f81bb7a8498134363e7de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a40839cef7edc9bfbbf9307077aa503fc7b6c121c3ebd74e79f300fa918a9f5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a40973558cc07f12b814864ca65c45e1db0027efa5006ec208cbbd56b60aa61c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a409b4d091550c58004869723d2dd4c0d51cdfaba4c7bfb55751b67b2d467773.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a414d24479a3233c35d3f534a328b768c0f5d13b874a74e4e95bcdd2a241e1fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a42196ee3cc14e8ed73bae8ef8c8ea2cf7a1a0155b972df1b0d1885d09d17288.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a42af9f1922ddcf81a37c2aabf8482420389b9bd812b201945d2a0b8014594bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a433b9ee77476960c132ccf6c33846f9773314129814a958e9c8049857f1ddfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a43f5b3d49181f63f0821e52c4fb5784836ae4fbecc27ff21baf9baef2f1f9b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4450a515d5e2bbf12bb44f2bc8275386eddd43769de93f186a01420d4cf5a1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a44533e4a9c9448f933591774a9194372b7517f4fb16b36deaceda69f1ad971a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a44adc0549ace7dc898ccc5f46f90299976587adf52805fdbd718e50231e7745.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a44cfd18d865d31cc9498971a99652e4ee3e146bd74d3d477850c17402b97a42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a44d76afe1e318fc05f87757df5fb266b7788961d3ce70481e1cfe4dbdbd5494.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a45dbf6f9ec62b6ae9601c040e036c4337213e972e0c1b15d2ded1279f2286e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a46754246aa9a94594b9dfd3ba06bf113454ab2a37d7094db1b266589d710736.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a47421122a7d9bc794939e65038a3b5b4aff988d548a031fcc356434ba6b63b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a483953c2203e5a817d65aee2cfc93533ebb7e36ca41b388f4a61f3abf2873d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a485e659522eafcf03e4c11f44c7bc0b45efcf10279d6ed6e1d601a9c2fbc228.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a486cd6120385cc43ecf4508c68cec6f3c292def61836148deae6e294febc1cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a487b21029360442a86a6eb10b26ec0db6479f534cebfc3dc8b5032073cd9e4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a48ccb57664921b17fb178f8cf797be4e691ed524f275122deeadf45363eafbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4902792b71d8a60b413b7aafde66343e17100c0d2d5b916e2fb178c036c196a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a492551a2c2a5acffc016390a71ef31c7a6e5632a71674fdd8bbe624f7b541b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4983a23727e5da8b9fb8439506e222c3080e33ced437469c8ecd7e8af7940e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a49b1f0bd55f0be2caa41da4bcab03711851f5800b7c4b3a86f57c95c41a4e3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a49c700439bf342180e0f9059aec92a12ba92351e48210a893ce703f1baaf61f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4a152686b7c930c3b17c29deb8c0913f944e4fb96194a72129cb453f472c19a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4a31d038110af2c923eb13523e413338e2c3544d7aa5cd507fe45b82364bf44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4a3ba0c8eaaeb4eccf23194ab033eb3a4bdceebb33e8b3b47036db14dc433d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4a566a98d3f15893018042e3ae39b904b38af6fd3d6b3409ecab39fa44813fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4a5aebf791c20c35ec8dc026a295ad343ed4e5afc7f0e51d268df6731dec613.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4a817155eae01949a473c41f68ee89f9a179fd3416601fd810329edaa7e2f7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4b7545d21923313a099e32539dc8d96c076d9ddf9d1e30b22b4ec025804d91e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4c5454ab962fb9a0f8febc0aa4bfd0ebb0d2f749e094b4086f6cd0d93a17c91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4cb563fbd90db3056f942386872db471f7e0305ecb39057bc54ee3a7077686c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4d7bebd409fab6e011e4a767ef3357f8aee66a35f790d9c2d74de1e38399b32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4d9dafff4c4055c367243d9dbc3bac07c5543a49d276d838c09338d1665f4e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4dc131a48f6f38ad2e63484d7047e78e538116f367a81b72933d4aed364fc85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4e665f5ea6aad89c1d48c902595b36f71658fe14bada433b0c4dc9346ce3420.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4e69bb04f43da85a2f46e8db5f95ae2275960630df73cacc9af06339a336512.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4ee167d01f905a8c13664750b5cfb80b079485026aedb4029338fe988e5a4e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a4ee2fbb1d4a7de3de8d456f3f271e0b10216941147b0a22b2306c73ddac0759.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a502d80f33793b8b9d31aa25645d58d8ccb9f6539cc4d39d51955f496c62d028.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5137c8245410a7eac9af0b1822b9dc91e07ccfcd18a69cdc07d11e3a552bbd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a513d8262fa7c17300a12360189ef37f1c33e1ace1bc65c64123610610ba4e1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a522ab2d4de5ffcb7ac1fefe96dd1a9fa3915ae36056f17ac2a3c8e9a8d73d45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a538586ee7f071f34950d04e26b7db4110c73f0ea5ab77df67390bc66a0da156.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a539925ae457bef282a64f88843baf751483b00ca24e676299b45c16f10ddbdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a53bbe67dd706aea5ebae5b247db76f97ba18f3d2fb34500a2309860b10aac16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a53c2693df58722719fe68721e09fd5dd3e69c350afcd8bf3e5360247ed998af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5455b8d52201eebcd55ca1427bee36f0d8b855dd175219df586b76bc10ab232.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a54815bed0dd2eef852487d78d0b2d9fe67e2e59094aa1bb856f471be085af2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5545ec83f909f867b451863d433e0f664d1fe44ff183f2d82c6a78e3ec3feee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a555f1d0cc1c61263bab216a39f94388957d3c4761bcaed01da3a67862987f00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a55ad770abc3b6310404a1617a4fed1ae953d18f22267dadd5cc5ea9eca5bae9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a568b27eabe58563216ad92e3cf94d4c791db4445185bcb98115e8618329e91d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a572ea10122f8daedd44a4b5596c6111902266b62cbc945ae368bce5e741853e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a57672e2c0c636543ae4f4c7da03d59713f6a4eccf53f499fa12045b3ca079c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5885be204586ed30b643d53eaecbe0a6c62db4dca6f8e994ce70b60a88d3666.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5903c369176e4b9ac17eafda0ee5004794351528c717b8366ab44ea7bdaf1ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a59aff065cdbf75b41317c9cebdc78e40a352857589524b90f1ea24ee2d7484b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a59f3558e740e359f445b1de5706894e95884b4b6d02f5761f10be0308b1c24d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5b21493850edba2c6239024aaa39ada5403cd9707ac27c95691d22be546af42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5b4aec485251191eb3c02034f4e765c5726a0eaa7632fcc5af0171cd92a412e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5b672fdaadc29afcf4da6989cbaf0f37160489f35af7ffdc0402b1c836cf0f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5c420a86884d8390a11ee76659e3a2f67970f5246b7cc292e7e36574e72fbb9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5c6e70aee436c0846cabc3cc6208c8f64456bdb764a8f0c6692c045c6cbfb4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5cc4f3fa5fe059afd97d19ea8a2c6b25fa8ae87fcdec84453e3494bf47228ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5cfa2643029c2575154d63af072cc9cdedfae46601e4602ad8f1ae4fdf086c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5dab1e0370543b1829d79a7a92445a3ca20b1ef8890e6b381d7fd2027b8f623.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5df6cad1b7253b981aa89acdf718dfa0b55c6817a838e07bc1ddbacca17c3d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5e3f27633528e7d36f97cc5e460c823d244d04e66a461656d9d65154cde54a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a5e9559e89a8773f84fbc919a79039cac5ae6c32dd562809706c00841648fc11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a609514390c20b658b958f4fdbdff0b37cc1bf2cb9c4ecd6303efc2f6a1fc4c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6224fe1ac5d245c593b39eddc027f2afad996f15fb81e75ac22d1a61da1de89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a63468ea6b9a646ed3172a446b03299171066f9ee76f2ea121dc45370ee8beb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a636f428130f4c12560f348bdb717fd16c8612d54b77c7983203457392cebeed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a638be8f337dc8e152bdf050d627f8aa4c9e1f836350b5c65c6e58168ea29cc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a638eb300d2f4de8a2cb131b7af63c2b93c16ef918a453fd6917c999cde599c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a63c2584d0b363915906c50ab09cc0ae6580d36121174e360f37ee7364b3c7df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a64d15c780351e1967619d718a1c8d68cb93ad37744ecd8b6765fe76495ac8ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a658461e4a8cf81323bb3d7268e3e3b7494e1dd54a79b03c1b459076aea30cbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a65a095d2e9a856505199585611ebb9aafb3848995641299318f5c24b5b0c6f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a65ff8d734c3eb8dbb8dca5d0a818ae4ee3cf0eccec0d75132a39aabf833431f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a661e63059a1f523ddf0ce8ebfd530a6eea714b5070c3bf3f4e6e6dac4c324cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a67a5bd6080ce7016946046208b9120c189ee8900f70cc80cfdbd6b58df68643.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a67cc3096f7a99ac54cae0bfddb373dd481519c96c0e90dc77c173a4f567a691.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a681e933d15512beb9888ad0eab131bed656d3eeb73ca2ddb6987b38694b8327.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a68bcf29d66df1403ea23f4c53a01d38d56d0032bcec0ce1022aeb92df34d198.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a68d54add688900cd0870ea98eb5e6867de58ad3ec5d5e6cac633bb6bac7b4b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a68dc7548549fdd55ed1fee8995e6fab26d2aadf6177f562b6e33835561dd640.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a68e0c41750865c6e43049893f99ffbcacdf3e57dc2075b0b28793eb2ce66206.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a68fc08449754f2d46c6caf2df17458b157fa9f56b71ff473117f68feea2edc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a692e39749be40bffed4ccc3b7e21b1f4166629e7e10dcfb7c4e9b5e5adb9b58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a693e07449fe44569168dd99f3773560fc3a52b6a4dbe88cb5b3de3372f59ee2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a69b82442396a4e21af5256270c4d97dad8194c91bb57ed5d86fcb3ccfff3225.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6a3e788d1fe3d9dd1d46884062764ca1662adfaae17fff6d93cac741310d18d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6a6f6c19da145f70d4c1c9e0d373931cc9fa3407b705b4f66ca7dc93d3489d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6b5f6c12a00645e371575bf44e9134f3b15d8c95b0abe38203fee2e2e78aeea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6c02c67aac9cd1da5a564a6117ce13d004c0cb41ad582ea1c42a63a41aeac91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6c21dc33d3ebfe98dacebc0f4f6cf240b36de1ca76702385f505b51931c4257.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6ca4c09efc8f58033a7cce616c97bc286fc8f77df3e589ed23861cc0056c39c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6cea6a7a622b280beda23a956b5ca4d63e6f6277674617537f0e2107b7f7da3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6d918438ccf360f268686cc04c911fd38d6d214bf958f03486accf099ed1341.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6dbe82493928c0acbdcff5b9059bef50c4da52e0e0a324cb6c928623f813e48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6dd72abbfc8fa89b9376891a69382edfc88e22bb682883cc3181a7b9fd9d0dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6e2b96eadfd6f3372fd2ac2b061b8955b76cddf7e43e23c3a7ed364d4f6ea2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6e3449e8d32abfaf3f28e5a9cf805fba93b6d1aa00219b57e597850be7caff1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6e73ab1a437cc7691fca98cfa95500c662abbd51be2aa02bc53146cdeb2f009.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6e8059490288c02507a88a2a156fcf5e4c537f7606801da00b8701b7afa1bdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6ede09deae6be47e40ce1a7afe5963c98990d866e13814417adbbcbaecd38bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6f48f360f09a3ae4a9c04d33cf583db26c9ef62adacf6b5f27278550442d592.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6f5377da937073753e8da1679a64700a15071688327c248251bcaffbb4f3dcd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6f56d307cbb1defd0cd7a337b605f23bea30ca326d1817840abafead358b7f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a6f60e7a5d854b8af8bfe12d49ba8bb765bbdc7ed68f41700c95b9201149dc3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a71876ca5a0d2f6bb2400b81cdbc570baaa9886950b01a10fcf2267e2860ce23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a72830890749f3a07aeab67183e219147b23092755f82977958dfd158ce54702.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a72dc3c0b3fe5a5e23529fa9adb30a211eb01fd1b1f02e6f091fe9cb917c499c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a73367115712bc23f04b7345f1013848382adbd781e4e8802c40567f655ac867.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a73968fd2b3afc152088a96758c706ea876d5590b8ab62c874216604122bbcc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a73e79a1076461cdda94ed49ddca153a41270dbe2c8cb755110789aaa6f43e16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a748cce076ec8bcfc639bc1f57138303ce86cb5b8d157bae92f34a3e3af6c4e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a74c0b2b98b68c139d34a9d99385a040491aa14d9a0858e14a5f07e27e7b2dcf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7621002427a321473f151a6dbec468c1cb68700643c956b41de005e40598f48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a77e150ffa68860986fd2bb501850bec81ea6cb6d6619005e76ac4c1c8e8b0a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7827ed6f6ee32d48355d5838c5a8848c2b3ece1cb71f526bf2bc450d4d44832.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a78876967de18112c0997416cfcfa349d5fb997c93467e06ce1d6a092784451f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a78f9e6589ac75cdce4f54cc69ddbab32cc6d27d15275f55591588ee5fb2b466.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a791899f22583717268ee98d0dfd7f004214fd07ead8c294d649e6768ef0ca55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a797e31b5aa0ed9822d1915345c07421d32898cf6f016468f5ba69c03e8b1d53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7ad5a246e1afb85f3ce351efd729774ca829a9c8f0fd2d025027decb1b5797d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7b0dab2d5609d92246d70bdd86dc97da76699cedf8fdd38ee1e281f2a9695fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7b4da47ee8085e08ebeec09e5005284b0a889caf4d2a1580b0cc32cb819a1ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7b6488e3f5d86d0f9aff94674e2d061107cec10e55811ae88d4bce0fb85ba12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7bf08df8bafd7ca4f0c84e4416464848836f47815c4dfa4951753e3976dd7ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7bf6e9a4f53d4572c6e49cc2b33122c75bf06e7efd8bd61e44a70c465a98e0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7bfd28a420f5785a0ada20cd66274ce8152446303fdbbda81422d67c1ee87cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7c0ff414faa42eef3e14cad0f8d11b678cfcf1b2aeb9d4d5d7271c2d59ec91e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7c2ac54455610403693ffd55ec446da8dc67af64182600329061d7032017aa2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7c6204f4565321991789a73309abda6a89177d2e4edaaeeaaf4b7045273fc90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7c7da9f72a812d3717512eb18f1f204e51caa7a8ff44cf8a6e4019ddb693dc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7ccce6cd9627f09256fdf9f7eff69859f646f126cef81ad81a3afc142c6b3fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7cd6ac74a1402bc8e39df650f79901dca51b441881dc826dc003de6ab809b3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7cec02a26d9ffd978dda7d7bc9373e56b6d7c8b72c7294d934df8584c552716.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7d9e1b09e2cfe4759ec2089d548e6e10cf67736de89f2d143f02183e8d64e00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7de5586d0a3c0b53b6632ac3a9e95f13edeb855c2ad0315d7b649eda3517e9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7f59f500a63a204d5d5f9d9d6f1c547566c7e34f85c113ba8affdb97d09c45a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7f63af018afc1876d6a20383effd0dd2464c21343d5616b8b622f665ac88927.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7f71f61ddba3b40608e6082ca77cda1dd5ed9cd37c2de900b12fe0b0820c52f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a7f817ca6aea651bdb147774c5b7cfc1647b923f963adc98ea662a0a7beffdae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8020be12d4c5e7e92ca521e3b8929e8a59b0b9cf61ae2ab40c4d2351e0da1bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8029146028ec485c73090dd9baae6f6b233192aa3df1fa885011589171b2662.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a805c4f3a949b5eacd031567e9c723ff330a3a12865f6e9a99a138cb66298f93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a835adf33d20981675498fc8a13b652bba8732c63d1b35bd211d43ffba5f6f95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a838d78939918843bc1ef21c67a82bc014ab6e0ee3c1ff256e345a8c2ff99370.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a83eee86d35813d603fdc5ff359108f6786ab41fffa012d04e0e6536a071bc11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a843682aad117e9e1c615f1c25751d5e3c9dec071acc610cf7f0f8232be93c65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8437d8fff1d3e2371acc7f30ee96e5defc684b99c8c863f6f513f0375099850.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a84689a46410a3e15d392bd0462fc1faac072c1da83a443329a8d5519407a9e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8472f6bc5dabb24f235906fa25266cf4e931766ec5731c575b68eea4e5b77b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a84e9d08b10934eda3763050f023cdd5b7b3f16acd4abf62aaeaeebceb47ab99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a852fc4e466e683e3ab87593dd113c91230c5389dd7d23ecea6f8c17b91c3ece.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a85655825d7221db0aea615cd2eb2195892159bde94f83a5b37c3ad8145e9114.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8568c7f5d2e7a671f3a2f5ea99241f9bbe33cd085ea3bde0f7ffc9e4bf9eb0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a85c79fecc6332a56317627d11b4145abb7c7e2c8145f2ee5e7f004e721bdebd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a85c96bf928e5b39c2462fb4e844ca3e58b260e839964fcc06fb1e9aaf3c10ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8644184875a702705d02b07a9a9284631a667e342a488cae90a1da0d325e86e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a86e4fb020d260608d33dca33132cc5b1a461f04998871901b38fbf52d23a8b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a871f54937c1aead0ea6afaf9c0a956725596b9aa308bd7d9ecbdba56d52f067.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a87415a471d104421719188d10df5887da8d59543eaee72316e26ec216c77a1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a88534df1a9f905a11b6a1cf82f63e581caadbc2a7ab97714a88f17bb5b6a1fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a88d79b72b93fbb15c95a607965db27be1a1b026b8cbd48a30210072e44f5607.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a890d6cc7be2ac1559574850b420b79651d5162fe7530bf89478917eb99f790a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8918c8afd2f1c9b8f79f5d1ac917b0da2b1ad32a7d99f97ab90ba5a2d5f3049.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8921e4693739b2a77a532d030a9dc400eb985ab8080cf531d6372336a08b536.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a893f8b7bd74c9779f1eb1c82516d676f72a1d72967803457ccc20915dea0d79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8a41bceaa70adb7b5d2d3a14c17d8af472742596c105701eab4ed4254c49cd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8bb7ebf22e537ae2567570c6ad62f743f63a8267697dd2e575ceb8e397e00ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8be8264f4107e81f499a4b96919336cfe3de5e2264b19b09805fb59de107bd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8c218c7596284671cef5c5a0d49988c252b0609ecf13d45a529431c8d051165.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8e2a70e897dde67376137a344b7ffa52e9ef0548db9b27cd7f7e54c2420ac61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8e873e2d37695a3eb3479768aa619f9cf9147563a23e5d3b70ede41f497414f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8f264a712bc20659ce37509efd65730f676481d0fd0d9ccaed1bb449a7b1dea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8f7a2b6044e0b5d6205952c419f5833af6043d3f3756376a0db74ee4462b1a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a8f7ea9f353be7cbf7f11b71bbdc53d87ccaa28c14f28f83c3aa4f852deed44f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a900f62572c788d915a768470f354b883d0d0d6a8c9e1bdfc92d71312de2bda9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9134c72e0e4718c952e43a1759488d26036f02325110dec27889d56512bf517.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a91ba97257c34dc424309c60f57d5cd6ce33452c0cf99a9449b9fef7513b9291.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a920c2aa2edcad71fa2a7fbcaea8a5841acb6c3d99ba6fba8b3972b27a7cd47d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a920d02a6b75617edac643b1498f56dbff0f0d0213f6d7397ec4ba85ed5b0448.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a921d01ba5548bb2d5002c13bd8f20ee14b76e7f960d1b6e0c9ac7738e08ed6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a92217be19915ef2525a8daaab2766d5ebb12b2b73a972c43a9f06bcff42c3fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a92e37dedae6cd37557ff7c32b60dbd1a02572ed57453dd7314ea2d7f47f6dc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9309261ec79545fb05d6827868c9efb16f1c7d46a9deae777586c8816e66937.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a93283a7e8a57307b8dc8898f2a05954fb577cecefc9886c2a1e911ec364ee3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a936d385dbde7a8349e6e5bb5943c3192fedc0d0ae58ef491916f68f5f33a357.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a94d56a6baccb954108fe25354f93ce863c80d520a3cd538b6f6cdc7b867a500.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9529d92fd03f09c230d9adef6228fa7b7b38185c386b7cb9ca6261d60ab1117.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a95815fffc4edb49a65207d1259f17176ddab0ca0cef009e471ca304a2f7d218.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a95abc3949d1537eccc05352265caa65505914879413365a690b5adfca13de09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a95b51b7709d4a4671f85ebc0a007d899dfdbbaa84facdf4b943f4d1d9965a95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a963e2fd44f67cde8de97b94655b7b157208f3acd765d80435a512d3b08c705c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a967873a6ffdd9c4ad5a0ee188608318c41aef08a2c5dfdcdefded765b0b167b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a967f03ca68ab257615a8c4fe05dfa103757d5f96cef5093f16fd01395455b92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a96870c4b98fe72729f781eeeadb82967f0f38d0d42f117893e5056c8cd16cf9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a97a2133bf4d482f758daab7fc5281a5ece7bd39e1872be5caaec84b1fdfea8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a97dd048e4e221aaddbe5325410d8a842ae82ea9bd27f99ba0f14c2b5040da65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a980db3c4102aaf103b59b7b0a8d3e808d8484ddc4ef39af4e5d9da6afe1fe14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a99242a86f1b01b2d7dc2bdfdc1f1496c117bdba6a88ad7b0cd6be6e4192ea51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a99442387041d0b0b5e2f2bf45c51f4e5518b5300446901419843480f781d01b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a995df09676e90ecf8ddff53e678f4f5db3ec5c181d06d838ca3802c5e842784.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a99b72837e749eb7c3faba7c02d83673f27cc0142049861414c51b7c8d1a1233.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9a18cbffc68ba16ea03c79821f2413af5ab6412c0cf1ca1b9480862d9a3ae3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9a6f696c5c53be4f40136933b14684fd45af965e528643756258d029234d244.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9b66e6c5fb3a437d72910c350ad47334f61c5c0481e2031770f59353af4071f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9b87415631f63d8c0bed5d651099d302e1ed7c07f361368f6858ac3cfd69f4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9c50e503c1b4b41be667bb65d1114bc79fcc42390f1bd726f3d052ffb513048.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9c83244812b03c93505be57b17f0d55807de41e087e6fcb86bfc0f312a42acb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9c9be6a55f44910ce053e1db7364b8ab448a61cb007ddb35a46ca90e803b363.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9cfff49a9d6828a25036cb825488d454c6a03cab976ad4747b468d7041439b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9dcb33b3241a569e698ae021be7b4c47a8596db5017c57daa26aff9df3f8c73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9de4387cfbdece527c304e6c5675160f2905e0b62054640d1abc359a97565b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9e12cb89acf3a98b2cb03f50c5adbdcbd5cbf3468a1e9e69e61db37e65dc693.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9e5edfd4eec243af42af19bb4132b6aa15643b6bab1cdf1c9b5cb7033b087b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9e7a7e6fd4bd5d4b3ed2f5bf88cba8ec247b6be80ba188cf2df2cae783d4926.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9e7d12272c01a45fa641b7aaf1d86619a14ce1d7a87c0f8740c7f212ae226eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9f19efdd3e747ec790eb9f89552c8e1c82e5b6f959e0c772af7ea7cf8f61733.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/a9fa9029f7426485353a44ef2b479a48b10456365f3643ce2b7421ff50c7bde2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa0232941d9e0e737ab7f901b0c85ed33bc69afe789f5ebd3b9e421659f4c0f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa06dd3235a01de55c94f8c0d5ae78be22e98bcbd5e79a836ce60a582ef0633d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa08ef31feb3ca011d5ce476b5f059ad9ac6ba80112425a940e39dd292e85e41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa0a12fa15d5b8d44dd83c92a96e841030df149cba1bfbd096b353079d331a46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa17402902262f6e5f26d38e76709b56ac52e9a93f2e9c0fe32962b15df153d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa20b155bdbf3a6fb48f12d97f135621e58cf849517b29ddd349782c039c21bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa221ae0b7930a0de377cac041bcccfed81d0db2376668744e8e536f36a9ffbc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa2b00cf84841709f6398ca483806928ee36459b7ca16e3407669eb502a1873a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa2d3c6c5e99f249871eaf999298c2d7e356d4e0e3622d059dc5c5b2621df31b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa2f1dc756ee7aae73ea19efa8fece85c67cc96681a39f471f2793abd14dffa0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa30cd32c171814a85f08f2778e9aa95a1b594437676fe2dc75dbaa50b71063a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa311eeb927fc7e6947e4b45b2f96aab1004a7f483ee7fce67680e2fd4569e19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa35756e4525c1cc43013588430ba7eb7bb9067c2ba08f20d4e6084032b7f674.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa36e11fd054e04793ee294eb6f61624079b8885c1ed0bad145ea83dff1d428a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa481b09611b372dd5ee008a7134f35bd19bd37a95ec765035fdeca2c5ea881e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa4ae9cff4deb3a787334750b06874003d32474d3d043d3f75944612eab77f3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa5c89a37984bd11bc3e1d151f79071dd095df40dec38625231bb9830e4dc957.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa7d3d1d57fea67619c3b642493d4757bc0a40da967dc1ab3414acbce2dd5a74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa81fc897e7d5b541381dd881e119f3bda65ba484e91c0e4df964e81c593099f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa91c4e43fb93a8c4d7f1a322153d80eb929ae54dce5a4ed6ceac77b0e447c2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa9690270c1395c0ef94b68252dbbaa18f7b474a86a281132793b21bbfeb9feb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa9c302d70e65fa622587e50b0fae523a14ca4bdd96150627dea0a28d3084895.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aa9f523c3ce519e48346e72ce21634eb37510ee664cd10e8137b243cfe5d5a8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aaa7944c208440d8b224687c4de6d5d16f058243543181dbcebd9ea3c204ea9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aaab22c8e5659d7c8650f2f16ed9d36ca915cf308d721cf53173252b88b105d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aab207c76f8c4a1f6b7c7c8288ffb71dc1b423b8966337bc9d797a2ea149a2f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aab455100df49178de2537fcda24d2a899f877ff3afe5c530826ede3822a09f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aabf4de08fc5631f8310fc52762010dade3bcb9fc9a12acadef06254661ebe1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aac1f3e2ec4c78edb3190f6c3c07b0c67c5b9229f842e0ffe32fbc218ae8948b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aac44ad1e9f4e33d5158dffe3188efe34fc7c830eeffc65b2690b637f4a1ce50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aac4ffe7056b2b6c3d71410e47e1fa4e23440e32123cbe76eb6186d4f4376248.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aac5bf91b4f3e617cd20cd4b8b189c25f9b2c9118b1a8cfe2682bedb5d27ca7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aad816a3ea3c6b983f3043b95a98293f189b15e90f88d2143338d36653d8adf1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aadd5029114c0a3d2ee57578868c29674750026eccb612219c15984a1a8f7a28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aae044a0e43f5f0d72066a040b45018cf56d97a0006a423a66d34669b4c78d20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aaead57b5cd2d49301b782db2052afe9a40046f2ff51f676fbe1e368a21a8e87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aaec26fae91b3a955ccb43f5cfb4101d30ac95de0e3642b05a5f5f9733996670.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aaef6c07634a83ac1bf4cdb7d51a3206498440fe30d7263c05e8e96f23829479.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aaf5bc66478718f56302d3a596bb5abecfaac68c3f3912dd4c35b0b4cb74695a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab04777045de7ffb8023bfa315115fceb931ff88cc4c80f7e9b2397678bc0f55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab0a31036e864b29a72333d7521e068807eef1f4c4a00666d177870fa3f2244f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab0a39bb773c4f935db1df6e1103d3b7b5c063dd7037adb9270ebbf8868b0162.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab1dba3f59b2090d1a8dc6c5f97871e34c182af5a356d530090b3d19d2ece2e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab1ffb9065ce31e5d32cd8c21d2c54df2d9f848751446a299eeee54d815c9f6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab24f1d1981dce7ec239a26cb99d2e227779e28a08f411d34db523311d80972b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab3459204bc95d29cc1b4012e34c5bc4d2a2e299916daee8b0a975aa2bc5612b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab397331b158dc8cbd13fb1cc3983fdf913856b6b0f4983b9606101d098a55b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab3c6b3670c6d795687984922a1ef61c695c3b3d18543512a127b68266eb68ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab3e2b239b154e5b8da3b4e7f018bc4215c456fd1043b9096fa22eaccf726fa5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab4792522d965ed4f99a93dbd65c40bf0e6f539be6851a4216d338d137db43cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab495b0098685dd2cac2ce1eab3626e9a66fc09109146bd02040effaf2205448.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab5c10ab848d497016ca5885e635d63e95c3eb5f3b37dd4a395526335436a958.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab6347dd2a436c29859587faaf5feb1f9d37ee24efe6c51bf926af269f827457.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab6539310664e37883033e43d87ab5762a213e55f4c910ab2bbd6185fb365f64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab7302d12baf4419c3deb56bb42c7022d8645c24d59adc5553c651e608c6f9a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab7ec5492b71bc56354890fddd5671310eab121685cc83fbc749bb31088862df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab81669351f0b0fec3d994683ddc88d43b423323c613c64773fff7c15bfeb956.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab828f36ef967b651582d9401c2e3292922e00b7fb23d13603b22a717d463d3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab967779219ac907bb264103507e7da459ca949e15488791aec608d0ec3884d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ab9f8f2a516754693fcb31eb041f988e9f0110893c9f9375b760021cd0d03143.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aba349191d94dd6d628aa1988d0996b483843fe01215867f19d007f2a3178b69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abaa3d6d775eb4c0f77416137b42c14f199647ddab23a2af62e1a30eeb19893f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abac26686d4f06f3d7026a7564d37900645015e469b1a379d76ae80c2996b2cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abae45dc4ec5b563c6b7e83ffa85b2ecbd254d7b3dd52808ca3b39ae3a04ef45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abbd79b02dcaf19f706f947110d639a9190621f4cd9b7e3d6830879ff11014cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abcae48eab06281f56d9a2b2c25ddc1a7f8d3a03eb187cfa6a2dbd692ecc4fd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abd120900a72d9f7ac48ec70f52254efa89d7490f00a5bf54d8a5649c58bc1b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abd55b2e6605203c5187323ac371f0441e7740a0f4bc32a06b407c361389bb67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abd691fe15e2c9f67358fa78df183c10d6485a77b3ab0118f7c862854b956ad7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abe5569e55cbb523674b42a5bd72879f9a7d9aa4345b559f7c01b2057a29b33b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abe7fc486f9d77839516013ed301536b01319053f8eba2e39fb2d385df9bc00c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abe813e6052ecdc77b92196eb98ddf0b9d0e357703b06ce5fd55e1358e4be121.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abec5a46621b0302ac166e219773a4bed4a99f91b4b164e592a2521f1f007073.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abecd1387086011d950de63d2d6c882a7059e6b9f0b894ca7396ee3c78c906b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abef2714220bd227ed966ca6763647673b23933fe20cb81d3bd67591b352b509.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abefdb0f619ac032c9e723f76209b4aa3c76f95ca4112172d14a7e1424116d58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/abf0d5f5c3051117464ec0d8fb16d79cdafb76ce3450d4409e0afd6c8b755127.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac00842a4eeced4f5f0b0abf358bf84785b75dde91e68dfe2838d6d643936cf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac04dc681db706a0fb0478e49d58e39e5356bf3458ae2d2b5427ef960820c2de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac132bfa8e00f7c6af67f0624336a724fa1c60803b0d299a2067f1b43be6dd51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac21ee6aec3a9fe4e8972fa985e0734856754f5bbcc7dcf3244b6f207fb98ee9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac240f86f8e2016a8a65de055f45d7a5f9b23732a05082e1288e94593bd68cc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac28e9f6a3a7e3ce5ed4c8e5edbb933fd8991d5d20db303ce2b016265fc5d7ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac2be3108f3b70ecc85760b983bf790b0afa98508d62e9c4f9b350806c7294e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac2e95fa045a8ebf14aca336d22145f7a4f5e0812588e5cf7229ee19d4a3c26a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac2f69325206f124bf933ec557e52bbf18bd54ff0e5b8b9661c1efbe5094e4f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac50a3831ced3d2c47d11fb3d1a4d5355abc79e0141bbe88a6d0852430d7c53b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac50aa61ad15a9fc532569e2bfb73c9416c94a0945dcc47183f21f7354ff5f5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac54db2594029b4b5d25a7d49949cfaecf2bac2ee1c6d59126c0a91fd2d197d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac5c57a27be529bf6ec4114c7c8c66ca6a106df8a844dc6cb2f2f6d21a773ee9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac65354ecd067fad1a76c546a068797cae2ae6d6ea8f6ee98c3ea17e6fa19718.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac69f94151b4f83a9b31eebd3ce5d17a6397aef8389af598a1ba6183fc8c3e8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac6f20da510eee391689c95633ee24af53aa903d5905b852f6e1e5cdbfb0714f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac7209070f6edcfea58eb99dc5d95c7726d04b15d1a8617c9cd08c48b0ce9ff7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac8095cfbc9d8d78c7063f8bc4c06fdc439df14ea27d770b002aa3a5df403042.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac86d8262b26865a6a09dd447c7ba0ace63124e9da246b8934efc4e702654b47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac8946ef7513653b303908329f685a49634dbfe7558d571c969bb68fcbcba2e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac89c6f83c678a112818873f15984799b94cefb2a973ebc27987f0abaa50025c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac9076ae42a578775bcaa4e2516ce2011a2e43b733a34868729fca9cf0bc1649.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ac9aec11978c51f2c89e13c0a3204e87141266c5f726eeaead7f233350e86fa4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aca71b6a424ee14c11fd5d35f11b161bd26f4ac809156c3ff49670c3f2ab3270.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acb6a0d736abacb48b887403d3a50b8c01519994e8e602f0994e050957dd7ab3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acbcd565332487e704593aa9d07be701c9837be304698da6a1482ef4ca111404.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acc0bbe79ff9f44a589fc2d9068bc374e0416007d3d0ebeb790239cc076b79f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acc0f330496499500dd6402f204baaf86eb54b7dc911f37e7d004ac710af58e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acc1a19237956ed85f8495aab9420ae7387ad0c6376c60b99eaa9e7f8aec2db6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acc6de7465f1750e240dc6f68bef332cd70081771664af46d20e1440ed4fa000.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acc707a88258075705a5790e07607c7e7ae6ddcefbdbfeb40bd5f0db6d43d1b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acd025d117245c6961c303c5763a5e09118ef8d9b93fc3e432471791871c8696.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acdac280039d10e9c94b5873985cf04a210d942eaab50614d282b721ecb9e011.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acdcc662e14a1c4202809fa0776cd3d98182ca007a908040a4348bd29fdb1906.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ace3f71bd27d4116d5891e8f534291b7bcbf20b780dced291e512d947df72937.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ace862ee23d82fc30647d0bac4e6b484b72b710a4ea69112e40e0ee6b3208c12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aceac03a8641638a607298eabacfbbb611b79c5b54654e7257a05eef5eff4a40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acec6dbc4a08e6f124683be81287a69c82ee288844b31ff985c59bfae5f5b1fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acf07d29197c65c3cb8bca782d42837751db18382935722f674a38692aef3f9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acf195c5f40287085e7095f5ecd081d5432b9cdd098fd93f424f1b91e2aad134.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acf5a0348cb4e451ec9402c3752d269470a35834dac45c3af16cd080eea0d02c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acf8cad61b69045a4dd9502e26e636e2cf93afddb3de4be6442b8e04594b1094.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/acf929beb6cb567f65bd53d0799a7417c6f37578e592e6e6588049b4bf63e306.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad1576a7648ca0a6b46e9785ef36dafbbda803f961f389af40c25365cde61c53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad161fb23f8be471131e324ca134010e1d6eb5fb5d3b36fdd44a0b48a7a70715.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad1f36f50a8619a2447f6ee3f430aa343bf9edb522385d6275d8cf4c45e03bc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad1f9c177bbfb4371a9704f2793a9915b949c99782e9328a0edcf76b65f376fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad21e3e1ed52fc50b068e3e892888a2f060436242446cd6af3f3b34de96c8bad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad22226039fc581ee43932dcf0b443f0362715bd3b1eb7d3e8b428ffad404280.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad225c3fa20b04631fb57dd67db77c7ba4835827a10f22066398474875d95881.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad27399d37851da27982461cd7a841482b716e57be45dadbef288a034baa1ba3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad3698c0a191b246f5479153e60ff8d633f59dcd1ac4bb85b38d3c1e2dba7609.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad3c0d285f0e6b1792ab04802975b578e30152e9b09b3331af26fab41fcb0ea6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad426e5e943fc4068f940b88109dd373043bfa42770a6b4642ca4e7b9af00dc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad48e60830a922fa5929d207c57b1c892d8f5068dda41cb974e73974952a4c3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad4fce874af6cfb60e698045fa818f6285dd17e2cef6b052dec355f3be8a76c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad4fd798a64aef39452d9d0be828018fb1e821c65e2c1db57a9cec8a83d0261b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad656ae5fcf765c54a763e294cb7e0c948d003d99ab9cce4f8ac491e92cc84c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad6a6a7e4f8620055df340f8d5661fb4abea783b20ed5ae9259c64de0ed43f2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad6b38782b6aae0f6280db185fedc216289b17e930aba48a08b09728ea515b18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad6cd1eb94642cbb93335b6b5637a82a595f85447ce3e83b593441d4d1221345.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad8282d2c880b97647d7d43cd138f0c6d35ce2af6c7e8b2463016f8ec97afbbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad8576d3532849ed30494232b9ed11236cedb3f3a1f4b5c720d1fdb55162e82c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad9a537e97e49ad0e34969fa3a8e83cf61ff4769771c18bf81b8b129a1c75bf0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ad9f776ec1772abe056663a2848d124f4e3f892dcfbffdf1b8c1051fddde39b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ada2e811d0c80d3f054c2f31c5d8e6f7a42bc83296ea03f64683dea3ecfdc5d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/adb45ca9987469ab91a67024d2c04adc7e022bc8b9d318b0d3b6b6463b73331e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/adbe999eba41b5f0092568cecf07433f124a52604e7846596d1e6529c9af164f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/adc0b39262adcd900b5c757cd61c71dea3cfe88f63b7611ebf0056f6acfd5327.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/adc20f1d909168e41cfe7723de2558a03b5bbddb91564e32680f0aa41162bdd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/adce21754e8d513a0b1c4d37ca79751263e7af01059e359f8d1d99739c649fcd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/adce9a82a96fd07dea8d570453962584d733c5bac96c4232f7279e983a108620.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/add4e886164d9b2b8993daf30a418df949a236e9edd1c68da8f450a05f45eae9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/add504dd46c4ce8d6b74b26130ea746e4abf69b2252df6a47702ed32c9108023.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/add56bb6c7d66108e018f29f8ca8f43efbf675467066c91da322b0cb6059e86d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/addc599903dc1c3db441afdd6d3704dc0fe1161cc1ceabd9f8848fd43d85ee77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/addc853c6e04b43958e7545f0a86118ab63091da2d82e73758feefd6fb34981c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/addf2d6e943c7ab30ebcebf07b18e897116ca839a9f58ab0ce911247df3203eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/adfe5df8366716eb5c1ae24b0e110f1cc83bdf99f10d44753e9ac7e8d4f1cd87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/adff3130e4cee13dfd21ae8981174ccafc34ef7ff1b899e247da7c246368a942.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae02c8c90a87eb50c0db6a553f6169efcfd2a91a63c80f5c82789020eae9f54a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae059120efbb17aba01b178b53610f06a0ed3d67861fa80cb22afdaf10ba2438.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae0933ad09179b0b9eb1f3b09f42373bce2ff4f6da5dd56c6d4587f095d71186.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae108b8c0f16f1a0502a1ec33c42aab14d0785b248fffef21272bfc6816458a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae162c0a1c7e89d4faf3ccd7cdcb58e13f059f7f3d6cc19cb8e58a3f98a0351c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae2dcb911707d5b98ef9b159d6de005b6bb5857ba14d836a67566197a4114e18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae33b0c3286a6bc84739fa10e8c4ed64adae32aacc7fdbbfce1b7705d3b33783.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae40856af58845335f74e89ae0019562c8e526c1c89881ed390e3bafc74e21b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae44de9d20fe09c221b8dccd96813fddeffe1a3d8be6ae516e6f1fd852e1d34b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae56d880651eb2643f439dc932bd372fa5d87b2b47281d7e094d7a873d73b239.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae597d22bf0f8ccedd18236aeae373fb999c5725938b1fb09aea06f9a550d7c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae6aeb9f1d31ee4397b2519f3c258aac2dd0b1efc3898037ae4bea9e017d1a8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae70b84816ca7e689254ecf056e7758e15882a301c2b813fed57b96b5a3ca003.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae7385ff1c1d5809c9aa034b07ae09c7e77551c8656103f948ffb18492f20c0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae7ec8cd54d0facc337831e3fb159c2f141008d61b2b96661aedc754e5f853b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae89188a91a7ab409bdc93479a29b880c525190703aae2845ceffaf69120065f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae930e26556db20ff074aa89ec5948975b0c17e9e7e4749d57bf48b77646438e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ae9c719cc43d1310d8499f0de9533687b19e9b7f61a4296a8baa2cb716ec10af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aea0ece07fda63ada4cc8b627118b3efda03a81d69d4e381c6e7478299673c94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aeaecab5045aa079fa156cc4ee00ab3ab4afd12647313a58fc64bca0872fb03e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aeb1fb0a1b38fbc308d898fea6102926d423fd6c48f2279a96f993ff4b2aa3c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aebad1f4d57f2b3a50eeffea5e802457301034370f551432097d158e65cb6c16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aebf851f6689bc186dc14f1b6cee2e874974f735516704da919b9a9b87f788b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aec3137c5d02926592233375f2735e32122eef05bb0ffc29e03934e96e54e0ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aecf5706810cca3272342b0eeb191620c421ed5615a60bb2901fff14e8da0cb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aecf762c55f4656a7690dfc16389700564d0aab29116696d9ffa2ff0683980fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aed5bbf5af80376ded7022814e89d52f551bc182b6b4b26b6b42a9db5141a63a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aed6c516e677c28c0760a81e162491e6c05821b061fa8bdb9529ee830499b807.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aee73f9cc178ad0ba7b673cba41f11d371736e46bd963f2c41be0badb2793cc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aeee1ea02d489135fea5890e0cd3250e4215f026d110b7bb5b288e9d02933c16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aefb2ef973ee0c290ce5a49dbf18c4dc088c0db689383c6b97ba6fdf58577038.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aefc459a13f8b3c4f32df526092b3820807f22c89153287da8d7c082cf0bec56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aeff8a269f3cb98f5a8aa5e19eedc69ae8f3b16519da786dd8ad0c9758324f9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af106e73477f6a0f443e1da5c9d210391dc38c8a0d05db37695b76c8de527d0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af151668d7b011673314b06ad2aa3e65f839256ae2731fb3be84bbb6bf6e66a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af16139f4acc2f0c3a5624c2a6256010fd569689e4c75bfbfaaf52d336b52b83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af188c61d6ae1c8b15b884334982e95555a8049dbadd344eb667bb76ca1bf1cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af247f5535eb3867dffb2546d1f453036e0f4bb41ea25e8ac479e10663813c1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af254cbe9ec1ddfaee52cea1590c35c5ac447347c350be29089813852f0d928c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af3182d51b9041ab6d5622c43ea0e21931d1566369e5fcc9b42637793cf1df0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af31d6706969fb74b82d96853568cc6c1ba15ad551278473ddcbe4f16b8d6170.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af3ac6d2e466194cab4c6abd8df4db504b599f93ddda24b1fa84e40d959dd62d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af3d71c6bd7a6627c667a6a5f9a23f05edd3e9991cced371373f895729bb95ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af41bef157245800e625d17a7bde6a5cad51b392fdae3eaa3509b2e838320641.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af438b8e036a092c60f9341889b803880d2bce7aaddeffe571bb433c302cc534.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af481e4e97f86e96ebeb281751d34e631d3166500aa4872cafc103ddce400f34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af4d7bcb0bb11e3ba5a1127e4b4a45d559d8e794ad0b03b9209a48f541d73509.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af4e966f972d08919b801b094e4bbf197778730bbc2c81eb1a6eedde712e717b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af57954e8f7fa4383b5343653bb956f7c41287629753831009facc8bf1c2e38e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af584fed7cc25a5fe1b57b97088c37ce5f99c14a7d5163a133b9152ad17766fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af588e4edec74f328bd19456131dcede7f625a64b497ca930f73cc445fbc9f51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af684afdf08deee8fe79d761931d571765ccf897b93a3534d7757599a3938691.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af6d5c5996c04e4b424a2f52380c2244c740b54a76bd5649de87eb5f3a0db90c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af720f358493c73e369a802c8df25bd1495c2b4340a5d28c086fa8b64067cf88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af785273222cb363eed6a46f2a3b47b9fb1e11ea2f5ac2342ba248abf7e0d594.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af85268cb8f2b20687d68c4798d99beb1af0b0c0609372ffaf4cea0630b52c88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af86a36b9995c45171be15f318de7ff42efcd4c40fffddf005be5c0990d199e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af873515ab711caadfa18223291c4b65ae86a255a905d681118de03d36f197f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/af9ea47ae6c87622981d17c96a2dc13c0112d95a88f2e78c7e9c162104d30f7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afa912e671c082a0266ac4fab1f01b9972ebcb4c8ff3081d2d786d1c74f259b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afab85786b0964ee23de1847ecf2471bf990288775b277da317b09a648571bd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afb53131b92e7539a817c8e104d2f6f32cd1a03729a1ad2be3c897e5225e6f37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afb637eec90117798b78c99808c956e76b6b35f2b148fbb364ec3886c7bdbb26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afbc1a042385619509eed46a493d8b7930680af92d91a696cddc654202712376.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afdc4fd0cdfc7aeac3bc884b0fa4fe9c6b818ff40c2ec19b346c6400706f323e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afe3fa7619439bc403563b50315187949587b1ebbad8dac10019c30b8a963a53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afe6fb13dda3090202b6d3f64a52cf6f1f29189a0d80ec9f66b8f1ebcd472bc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/aff3595481f95dfd1c2f77e545055916c950140263861cf80979d7fc30066f9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/affeaf3e7bacd426691f06a920a99e94ea8fe4560d71d28e3be199221ff289da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/afff1d73e7712813af559a688117cd938001c91a33645a7fd192d26c0e4ff650.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b002047d5cc89ffb60fb174d84afbe852029c45b92ebed2ec3ac4da412a7e168.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b01c1e06a18b3e60530419900af60060d679220491862a44abe7957772117e6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b01cc254751a3b9c8650111466bf1a0d864c8c5daf96c8710ff9d5e5d1b5b12b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b01ec772977686828d099838e1eba6fd6f7ef32363550bb10c67c07216445440.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b029a5f93b6930056ef6e50900de8e54fed815c0ca756767e0852042d26d081d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b02f493a7db3dded789e90ed2fafd37af52f46b5eed08edc34d091bcdab54d8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0366fe9d862f1197c7e351c253334ff82c9b2bdf2c4da169965bcca74ba4ca5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b03d180e5f9a40941bf01f2ceec4f50f2d80ccd721dc5b1c0246251128b02214.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b03e935ad30276be19dd12484af784b8deefa92f485e7d87a9f7cd967d957ed3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b03f427a19b38c181eb8b9a400e072a9d3a4ce72b8bacab1425fa5018bc7578c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b049dc05a86da51e776596e546a70141a4005f19014b9d255f626664a624b71f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0532c930928c20b96e128674a23a109f3ffea6f6eba3f3c4acd3173f7565770.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b05d71a31cb07f63787c155f2e371bb1f0f4c557d63710ff69579f0a3605898d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0679a6033ee3d0aaf7655c83476f149c6534a36ec091eb68b69cc8c2e3b862b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b081ac0bbc9eb244048c38eebbaf632450277bc7660c84ebfc26fc6d8b5a2bc3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b085a7de9d5c9b6308d2a8cb7953d18d5c9f83de734430d8f082365958e12aa5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b087a771e04ba96b684dc7f9c7c2bc9a4743cb5ba41f1d53aa53e036196c1669.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0a29217992d8e08f4080837fe34009306676dd962d65b6011a6a966eb73e4df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0a51b248b545c5a42abd07711ca0561183b9e93d434f6018ecdd29fe676cc0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0a6357b9797a50f4ecf7d37b2d388c6b605f9536c1a936bd287037d1f77e208.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0a86feec1c2767cc1ebfc5e8c232e49efa7e44f52f9eee91617dd458b8dc49d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0a8f387dc248e00bb4b8fe21952976673893d7bc29f7c708c49663e348fdd69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0aef2f715dca29ff686ead23012242de9315250068a4dd1613d386b0f31ed0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0b3a96d323c7d1527ac1a5001fb9be0536fb36b55d84a4ed24374a54816bead.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0bcdd150b61b5f869b1627a25b6b29336e6901e36f63a10a57e75ef44def5df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0bcec0bb3e99ccdca9cbf216deb69b2f7626b53192902084efd8a6844d2c5f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0c0638efbd96c188a4e9b39d3011ae7b4e4af4ecc819fbb9b593a4a31ff72a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0d5e74eba894936750d0adc7a87ce7841a2fb71463d3d9432d13eca8672f008.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0daba00e177bfd27f04a5127172d7bb9af8b8a2af6bf23fad994b1fc0c53853.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0de5c8bd2087cd652b6e51ef3756b8e880479f830e5817df79590e2c1d446fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0de7a099dd43e09e6c628cad2b68b8c0e01c5c14e645058815a666ab3ddcc33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0e593e9bac9512e4454150d114659cf34e59d8f4abfc0a21ee886e51afaae01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0ec31ffb112aa94170996e0aa8c35593434041c5ca00bb69f1961a397789b05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b0f8ff2b2d71df440f9017f59f5e8c6a46f882e3a06af8e01f587353afbdaf20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1054007cec52f385b913b4fd552ceb3037e72117d1b23fc5ae8bc466ae8def2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1063427b61aaba94b2a36a7a8f14c45bcdd829d189aa5c109b9abc5e6df0c1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b108070040a9200c2b12d1ddc47288caedb1c1add3c5126a23465be5e534316a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b10a7b6a851b3c8dea95684cc405a4fae183ccab28538108c77f54576104c8a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b10fa48276e29a580958e43350da314a50f4b13d3db4afc2ccf20374c86b04fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b10ffbdb14649348a91fcec5f769ed856811892c287515803c8e572b15fb1311.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b11122c804163d677a70c94db730da267eeec9b216eed04698fd86418202d26b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b11509c397cb1f39a872750230c13d65ef618d5a86c777bb698a3be36626eaae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b11c1458733bbfed40ad19affebb3ac44fc713dddd69d0832e7c73f6ba92d0ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b12231c825740c7e894cf27b733f178a8b983dd60ed06ab6ab9f64d427f8453f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1268bb9937a63af3a4221a31c844d6feb2d9a578ed16173ddf3bedc7e616376.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b133c086624e5e6faf4372e1aecce15e8fce420979410376a886fe20ecbf2a14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b13913b10761ef55ef7876799863f0d005d07fcabf4ef1cc210755ed9610c46e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b13addeae18a687abd82da590ee36253fc0ebd4be6edc9e6234b4d2f92192624.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b13dbdfce77128eea7b3f0d0ebab899f0ff6bdda2369e1894c8b06c2bc3d56e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b14c8dd26b29c83dbc048c267b1fafa4ac25abc45650b27d7e437d2a2571b7c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b14dcb2d57d180f53c4453e996ed29aa0cf4523baf304114b6bd9ebc19371ccb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b14e06f7a0d2c32e8967dbfc60585f9377c58b41bb945efcb9dc88b147647a4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b14e8412ff651b31faff7309567a6ca94da08b55ec82c1747b75e54625742752.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b158f870747418cdeb7c241bf3b35efcb0b09cb7c4f96281132a7e92d10bb8b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b15a15ef213d19e5ab4272a275f44a3621880da6c8b723002335d8e52ad95508.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b16387cd3cbce3eea8f2cacab590a36e58ea3e531988f65f88587b58c441165e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b17371def2f71b6962dd4dc2a65b5228cafde7694060ea0da70002565d650005.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1797b87e395c8a884da2ac964fa10da4d1656266928ae4f70e78e1ae35cdc09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b179a6bc32a51e75cc22a174651156151c010bcc82af40c6c3584686fc2c3763.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b179c6b9daf59dd7956dd7980a5a9d72739cd1988fa8d006d463487dfc621002.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b18984972985f532e0600e5dc774e92ccea2864a574855ee5ce4b5c93fe5b626.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b19205a94375c6abb08ebf2f5608bc1d44654e43dee101499cf4f1448eb22949.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b193b1e9abf6d37533698b522103bfe97c2e17848774afd583734a62681f2ef5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1a64b827dad8ed5bd1a2c6767f1e1ce7da882eb9eae2e576a3f992cbc4759a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1a756d57d6fe32d998de03352c93135ffba188741521f4a0c233b4ca2359568.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1abe48025b33ec1f12bf39705d29979f690e1a5bcc77d52ce68353bbc262958.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1ac7a91d4c7f18f295ce3154c79205a484d6675c095bd19c8096989a021a6e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1b0a2329b1b9d5ffc0d4cfdc523a65ca07e41a588bc12a532538e1310b8158c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1b469f40ede37daeb7941b5f002dd9fb5af5df3ad37fd538c5b9a3a010fcf65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1b642fffd7d23fdd25f06c57c66238d868f9e5fa5260554785b713b6c5bac7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1b952bea02ab395732138a252624c1a74a2c76ef6a2a559f17a4b8480dfaca4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1bf1ca4c50bb09d46fb53c550c6e02da5455f33b85e9175f129c5abb465b2e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1bffb6c508de86369876ceb4b6c819938ded58be163ce1d5ac65d1f950ceb78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1c826543c6cd8ca467040f49350c1bbe782f8ede29d686039f52f6e967a0350.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1ce11556b7cd98a18a08b9bb7a85d537d0ee36297e1006fe468a8084a2b2d04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1cf438892fa6fc73f95163e8c0f63a14b6844f0eb034a9601da349a82364588.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1d2940d0c4cc8c3d3ea161617c1fafb3de2d6dce388fea72e0d1bf528231ca8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1d4f77d6f0234f9a300909c16650b67834d9beac1989e7af3c9f39acf053121.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1dfcd9c9cc40c51433db4f3cde70259d7a8d66ecee399a7c12156470844163e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1e3e235375d57532ff5cafca361a8041e1d87d7d69eebf825c5ecfddad39429.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1ea1b3ce493915c80b1baeae0b0a0bef83e7c1d5f25233612bf01934ed289d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1eb092a71d25ac56440f4ebee83e6db5fb2ed89f74c08ed40f99200f600ba9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1efaebcf0dd6b15557d212a9908033c763ff375d2c8df2bb1f6fe2a77c0916c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1f1e0274dcf4f0f6a882d7e51245d662d06354aeb2b5fd04b3e103b827eba8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1f4191b22252008423844087f80d676f5f1d5725f2712948782c2d5cb99f028.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1f4d40891b2c4b2ec2fbae9c1b66c8c84091d07be12dc9fff018b43064a0e92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b1f4f2b262737af824dd7c4da2bddecd636ddd0b60c9c15ddf94f18e9b964e1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b20079d512079da6207296cf0da617c696432b3eab35938d64dc402f0aeb2fa3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b215cd8be81ccf2aea1c8816be0b14469cf0348d18dc45c80c6e023e66071d54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b21a4497d3a39c3461938516ced4ab0fa67bad90887d495128e8b307ccf77fa4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b22466642365828d1ca798479c25d12634778ef8dbdd87bcc267e4275e63c317.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b22b76c52fabed4f0b3fbc7e6235d7a571809e2e8db4e2d71f87fe64a05c65c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b239e1a7f44134b74f5ece8550f96adc94a22cf3f1eda1883c83e3c864d42658.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b23e4fd17f5c58127c77e7dd0c01abd4ce45de7a418c90fd26db27ee38c4e390.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b24461d50445131f89445ce3f693737adc8b874e18b857e5c605f2b96ac053a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b24dbb994c4fbde29d4868ce2ed6baeae462e8fa8709ffe6731dfda87f588def.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b24eaeca9dd195cf688bfc075366ee7581127daf109cf550d8229a2643c03c2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b25225a33c354ff3f7b066db22f5b2707b05cca81873ae389b6bae20a00a2a99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b25479a47dcd9f45ee86553edc7bff0e4e435bd99b7f3dc4b643bf66d1ef4ac7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b25669a41a5e3a0165b66ae78701674919142dab611d945de661edcfe7508fc2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2673d8d83ff3a27c33488e10dbe611d93e48c19de83c0d44d08d003821d453b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b28b534fcabebf8147f6242295e580f84de16555efbadfda59b852d1febf4081.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2a474667b9104a85f7da09b264bbc19a74b5ed7186982704ecab4edd920feb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2a4941ac25823b2e145fb43a486fc5cca348787bb75ed037b7e52b72ab24b96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2adacdf7ff8bbcf7ab4858cbc1b09f8d5ea11326fa8580cd055245cba93bd69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2b7a0ea4096ce55f32634b213a14c2c2d7d8247100ac48d305209bc14d7f338.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2c034f9b0805b9260588758292947858a304485261cde6221bd17924358ec51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2c0a5cb4c9b58b4fca7c8193d2cefbcef5af9cd0b6bd260a1ea0bddedf6c9f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2c55cc8c6be39b2b3233e2f8d203e9774629cab44c7d9d23fa8335d59e3fec8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2c8b121bf62f4944d46f1336eea99bae97303de3725d1b2b7bcc101432d4a74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2ca1147acc1d95b9dd01b8054cc1e5fa8e4ebd20c48a0b238c9d36b8bff0d22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2dc7abbcf9d1946b51492d50ad19963f8b5d227b1b8bf1603c01debf01460d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2e11905bc8e66d458db5294930a6812b845f451dcaae2606a914569148572bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2e349f2268aca220bcc73a5f4f318209e72cfce0a25e4a821e30d43d2b08d9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2e7d68f205d3c7ca00f2529fcf600ba70763d7466479b1f47d0952a3ca0f84e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2f0cc8668d4ad4278034a1b047860e02fcdf8994e12202a7328baa8cad617c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2f3c3f64d0572d3461d748fcef05409e45c0f2d3964612d5cbb3afc09163bc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b2fc1a3f38018b55ae06bd929489a24ed05af29e77ce9e1d84545cad4954ce7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3057a6b59f1a05c30d405c27c89966d674a456ae2d5002e9e5c181c16bc110b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b311af57a707c743975d2fff4386c56f6ad8bac4b45d3e32e8565825882f8934.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b31a8757c57037afe746760dd37db3676891823daa46f1d3c8a19f192670ea20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b323185d3ebf270f4e7bc654d049af358d8ce0f397044fb83538842564b1c5f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b32fba092730344d533098982cae9be3fed3a268460a2723d95fbd6ad27699fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3338ebc1d5705dd715a261b4bf52244051072670fece0ff797b3a59615e7a30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b333d2d8fa7bc562632aa3a3ece684eacba8b038cea73b4a85dc36161be705a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b337886b3b6298c69bbbce6ae3958015be2510ce29b1cfe3e059a5b061b20661.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b33ab67089f70d0a7f30236f86194bbdf67325c5374860d224505a8bf1eb1933.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b34651068c71d6a5d19f424ab0f6913378ca442d4dda39f46f35a8abbe82765a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3537efe2c68e62230e0571596e52bf16c04e4fcd9fca076628d631b529c57ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b356888cca7dbf166ab2a5d3225e60539c840dbdafe6659398c4c44fe3228bb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b358a2f976206e16ddf624124f4b2c01003c379feeeec5b559cb446145c25756.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b35b65d9f07d98ab81e978b55e33f6f56c368960333589556d0efdca085f472e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b364490ab0d372d034578c3868d2ff987189fb7dd9690e8ffb90b5aa7231fb6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b36dbd686d9a0f0ef7897daa69bd34c6f9befd9383df4586e8ec21f4fae802f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b37a4190a8d9137ba1090590b2c3f1c60b05ced1792d983e4c13db9a7ce18ab8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3822f5e52e39da37ee7e9b4570b0ff53f2304eef454e49782df44dc82afb1c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b385a3f990c859ff3a11970fc33d79c55402f4a7cf8db8bfbe42d6b5ca684aac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b38d191b5e769cdc2b8d4c807e772fd2db6fa337eaf6cafca1fcac866bf66e85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b38f82c186a5e11e8a360d41a07ec3294605ec8e3679b6f4c3cf51ead86e4c41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b393c8c481f56ceaaa506bca7f4febfb7cc4ad49dc7dd8fa6007dbadaac99bd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b39424ef0c2885eec2174b826a4766b66544467fc5afea9f10c5489bc8285164.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3b5152ab52a549fda75c2ebd2a4ec7509d7b7098af8891be3d2bf757992ca72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3b97b8a82a49016b2513166fdfc2eb27db11e2220d50354145cd7eaacaeac9f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3bb6910d6d4097c814c51213b27b2651d1a6a0c4eb829d2edbed113a069fc2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3bf3919063b0c7330001207b5c9d017e7474277f6341f3293420b71ec44071e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3ca839db6b262f70979dde2a73c2950b87cfb6fbfc1ffc56cb19f09ac41f5ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3cb098994fd4a695e35b11817112d4be903169ba07c212d74b982e76c50c604.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3cc2af5d295546434a4f254515d18b71fcfdad0d92860932a75f1ba04297f76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3d0e03a4a98e562c7a4e5f9192af9ea0b6be016bc62ceeaddb8eb92f7637768.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3d14941819ef57b8c346b89db92f6494315f4a3fc81269a72b2ef4d2048d8ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3d5b3f7dacc062d22aeec634526cc5cd1986b3dc880c54f0249ed660f253aeb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3e8d564b51c35b9ede9c3ab24b335c24b252802bf28756435cff7a75a2d787a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3eb201591cd43f6cd7c3d6936f4fb9b80db9452caaf977a380f54dc7df308a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3ec82982255339b4407bcee6f8c6aab4339ce01981118aa117558f6122a8401.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3eeb25d16f642b8bca273ce62b7839d51d1582559a5c604f9016d570b9a2ba6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3ef44678affe094c7d2df460634ecbc602bdd61a9eeba80e67e918f93f5952f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3ef4af303f88a75536661d355c68d72159b5aab01b379bafeb5a125588e685b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3fac2514e023492f537ea4ce0b27d8ac388dcba2f1ae6448435d89e12c63fe0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b3ffe323eb7b14d9b656100191ac2f4ce1173649bf78f75e34b0bf63cd978bf7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b40af2c8e4c05dc9fbc1997111e01e93485bcb9d574c5c8cfc25a8261a7539ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b40e8245ffdba77a7bf682e9912e05b9413b7967de69a2116703ee7bc643076f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4111664468787dd44e405a88cfa33bb46c562cca718695ce6c6e3ac231a1d42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b41352da1af03b3e20e9c5b4a8873ddb78169b41529eabe703e46805da2cb312.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b42121f938a5a4f904641f692e76d7b11a77bd1318c10b6ccec476a348991d38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4285dfecc627eb753f653d2e785542d76c94315e917d734fd69c49ec402887c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b42dc115e8380d2bed9c158fd85429a52c1781816076421d404cf4cc6c3ce775.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b430506e9b35daeda9e201c37a41ff22cd356b48d1cb21dfd66606d3fe1f1565.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4333d156f50f1b0d4fbd6634e0e0d854e0c283f9ce1f6b07850bc48c5eb8d17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b43b3dfb82116b863e68927b2405840af893c162b7768befbb14b806c26713c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b43b48c2edde5989afed328721fb1706cd560bc91e9424f3594e344a096692e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4494b4b79bce206487020c79913ec203ff79c23005fe0ce972e6c06974d754f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4589959c1dc9fa8c5b85741c1fa9b406e560d76a50459d99faf6976d0b22f43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b459426c7562f422518c2f9590f8424f30761e032f4dc5e752cabbc0b64ddc02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4658cc67365c4575808fd42174db5f97e0caf26351027530a57e5dee6609b9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b466db2c606a9baeb4250e230adf8d166ef80a07ceb40c226487c6180137e84a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b467022ff09ec1e975bb07aa48b866a9a286d70147ab81f9ef77f3146199d2ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b46968ed07695101b22171cd76a8ee3b2d5bc6f953a0a0479cea0c00765a08c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b46a7ed5b2a00ccc8a97e88763a4382ab1fb25c9d2d3cf506bb8f3580de7ae92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b46bbc20c3916fcb3d739a7facffa27d2be5a0bfebc6ee319f607ec886457017.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b46d4b8b358eb5323ccf451cc417964b07cb7a0d304c651e626ff170c66481a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4742fce8ca105da68436db242ece7ba683dec25eb33e10031724016bf88a666.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b47b64bce9ceccf04d710edc67841d3de8d0ae89690b04eff3de6d664f790743.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b47dad7aa5436fc922805b434f0ce5c83a2d3284bd4071adce4a88df2964252b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4845282a6ff2986fb4ed53b7edd792a35602190b5be6ff0dea0bcdd08567070.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b48622bd396e1f16f3196d517736714c846fcd0beb0b530dc5348ab605782b16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4865c062c49bea27dae8281e0aba6eb537e2b6c01fb1a4f4342295fb650cd6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b487cb2bc03442de9722fbe2728c5561ada3eaf0dee8c0dc43a79f0e78d945ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b488bedb36162cd2f018ea5d134ef3cf1ecd352bf4a614878ac8610c9ae55de1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b48a2e72abd86486fcbd86fb65b54bb292b06f9ada8c83b2922a22a6875172ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b48ca52acc834714e8cd090c96f28708cd72b99a4f89d94b6ce99a6caba9db5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b48cab1e2560f4d43249835f8ab3467bf55be52e0a4b3b9d8d499df147e1c717.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b49252ab67a4728c861b22ade8d0f022f9fffb55c0641b4e75fe1c31ae919ef0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b498c84b4ded3c48d59d7bd2fa39ac18af764cd9524948bf19e6e54711b5c7db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4a967431186be935148514f656f89906e9f9c3aab3dc9bdde8119622072f12c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4abdccd3fab59af09009a0d885bb9b5283e77646a6661dbcec094ea3bb5592e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4bba19de6ce0ad66ce3a74e661cf357baca1c95236ac9bb5a42551885dcd117.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4bd4dbe3e11d349d32d7273ad448610b5797559a00b4e9f17aa15dbf478cc3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4c4f073270dcfeed8e81297d9a66b9f7bd83878bdccb970c96b50d2e543dcf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4c6fe847cf0b7a2de60953eb5aadbe93cb528b0ebc97b9eec45dff15a55eedc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4cf9530ed87925ccbea9d99e6d16fc10bdd16abeaa5738f3acf68884aea633a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4d2a6d1c925070ef9d8ab34182d992bf466541bc28c574124a0b502726865b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4d6442f5859725d842e279dd44de5a4a2ae311a02965e771d787a1f9baaac0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4dde043f2a8c481c0dcd8c3644d13dd94f42d3df7193c3139040ab4159561ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4e134da3005fe8e4997a13e493b3aee5051a02232d7f3a93523b9462f0a7282.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4e222a5d5b242cca8dc26f1c695c5c7cda14a42d7b97909d6e41d40cf2f3b96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4e5a99754d83304a42d1f7a71b2f90d89b5c27264218c99b9a252ac6e55f9d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4e877aa77df2dfb6903d5d354e4c8653694b76c939dc08096c2796546215ada.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4f2ec700ea33559019ae38d3d0987ba578319f99f38c7cc553d615667d88f90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4f35ffe83a27ca33363ac8a8021c672904285450c2225bc8665f03d9f86b800.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4f4aa21729ac8f8858036a286fde8088619e8cf13eb8e94b5334f4ba1239e76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b4fa8816c65aef19f04b2f0bd5283c8c4b7cc6173a073c010d3c985ae611f661.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b502afd126fded9a8fadd64cedd1927972747bbc3bc538f5ad34057ef4559b82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b505726844206bf6a7757e2dbda2e82d4cac7ef4ff7aaf78dc7e3e36b2f6acc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b50ad0fa182c3cf5da8d988e562412853e156378a3acf0e11cb9bd9fd4071553.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b50ce91167a48be1861a78d2453420adc72db58a18ccd3dbf8343565acb37208.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5123fe4db57c9d603502e10e4cf229d6253276b5f77bd996c54db2b13d04755.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b51b2113326078be158e3f53d416b43bdfa376bc7e61ff966cb23293dc1dea7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b51c5d24c771fd5ee5291de110680d6712993e6138978e0aba1e44dd4b114f2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b52010bdc5346f07551f1e8b8cfaff2a5100aa7f83bdf6637130fdd7e85cc2ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b524c5baaf628b35a95105a52c26a7e0e340a6ab90378eb7ba1a6894fd12a899.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b52909e56796544d3e4a4e78887fb826a7ed4260bcc99deee0dba42f7f3e0c84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b52dec534939ce7c75cef7f1fffd126612794ccc963ab877892eaae43ad62c9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b530bb52545ddc1fe142403cb324efb4918ae2f7a60a4b5bed039e9c5a3f31fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b531fad991f9ce1f9754da3ad79e6f05d618466c158e69e0683df8328a243bf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b53b4bdf3ddefb8c8aac76a3889ad88161f831462e7163a768e19b491510a62d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b546165d78fc539a803faeeee9ef9d96272e3fee84311bddb88fba1e3e851baf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b546a6341d6d54ee7e01ef6c2691deac54167f398b300aeaf2b56bc66d902d32.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b54d3f18b08e5851b7d564ba75d6302835c04b381db9607678994bd5f6f62cda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b54d6a57da61a81524e65d8bc2f47932d169280aeb5e3f5161e8ef91d43cf59a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b55d9fd8a4344d63590dccf41a701b18b511dfa769833a45f0ea44316960a4ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b56ae51a8d9f51530aaac2543b8aed90a6fc66d3c7f43d86f381cf5334e15b86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5750b297ffd89a9637e34e3b1e09e2d541ee38b0987cd170f579ce2f435c1df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b578d8671097ad8aa46cd470c39229775a647979255397d680eca1db9584a303.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b578fc14c631e263c5b9d42f4e18c29b142761d01a7b8d71ab6d20827c45af36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b57a858827fe1bb92f61d7cf70d1287d0375b09dd3d06d4d12b5ed1056145f57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b57f46c012a6d24c92fd3450e4240a2307084ffeb559469fefc895e2a6823260.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5826d0e18adb64a8f7f0a7ceadb1ceacf6130fe4ecaee4c071c2944779ad7bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5869cef3e37ceb70db7d4b364b1a940d485f7d051ff3aaa372efa7299034e33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b59675b05b74b6785386fb835ad94cd67c58a465c509d115171e54464863833a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b596d61177fbb52c0f29b58fad476dee87e6d2c6e94c06d8cd2890e4be30522f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b59c25596c86991e62e62830886250fe209b63a4f3525fb3714551656fe7e1d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5a04fb2b631b15b8fbc800e83f2f141e1585d5cb27a8d394f8d856bb6ee1cda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5aa31e7faddb5388ce68193d25dd22c6e156b447d19daded8ed2e7448390d9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5acef3340f8c1f31668790db687b49eee080200630f113fe55f8f0e22cabd1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5ae0271d703a0cdb507deb1e554ebedf6cf0f85c1c840a6b8f629e316b29b1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5b6ba6abdbfef9f0acc73437c0b869cddd409eb49eddd7763cd8e473cf70749.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5cceb120087c65b3e8b843c8d39bd9795111bf8b6d83c090f65e9474fd556ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5d1090aa1737288a595a73e82651272321f345424f92cff0264b1bc9dbcce47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5d74256c725778d685fa63f8771354d0e9ae55d620a6f40ff9574f3b43a19f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5ddcf00ea7121329701d20b9816a1f0b842d9bbcc319fc676cbdb975d31d342.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5df25f499e80f550f92e216725448591a0a159d1eff19b14cbd1bb792fa8286.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5e4d75d5ef6070cca61a1f68854233c050e83218257cd2cf5da1de622b452f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5e98fea080b415ab2ad7cb0ff07662fa79b8dec85ae17c77bc3983a5531b742.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b5f1daab761fd47b5db9d4465f42528d783b33411eb09b029f67829f9b2a3fa9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b61105d2b7cbd5971dff62fbdbcd3521b2a742c595146a7da0d5afef8c8d9225.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b611719be74375a803c682ade866043a602005014aed0e4344d5c0fef98c3e2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6133123acf51a973fd0ad7ea56909f760a4ac53af7c5600daa5206a6bf44e96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b61440bef82851af2e26c8393b5863a642de58a022d126d7e0bc67e4e1d48b42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b618645d01728a33756d02cfafba17257a24c0eb6c410244087f90063c7a29f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b622eaeb69a8b98220df49327f497a841ace69e1a1e8a5428b2e87b72e5cce78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b62ba138fb9b9ac4f82f484ecfabbf16e103ad3e544dcfbc544eb04a5ef910dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b631ad62ec16d5661bd21a1d7f23698dc8ff8ecb27fcf5b8b9e72483b3cbb2fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b651f06f594f6321615fb0b0aa08fd2eae7e0f46e50bd60fb68c0565f406fcfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b65a058d0bf24696805f34a613b1bb3cf1e09a1d48917d0cbf0135662e23277c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b65d3017e2fdf0a9a2707a973cb037b478cf399a6ccc7dded2a13dd8426080f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b65d479ff2ca4bec51d758a2aad62735d1c44ce02c6342d303f3decf2e79171e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b66a3f8992d3ccefb79d1b54b841e89653653ba2f5acb78eab17aec716cdd764.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6778bdcec98c89ca037501a1b6bc7cbc9d74dfe416b5a5172241c357ff0145e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6779cbe1109f2a74eec124d73d7dd727c2486c16d3e79e638c7ffdb5e8afd0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b680ce28656725b4193efc541e54155b26e7b5d244faeb4452a39165ffe7aefe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6869240ce0588f4221aca3abf1aa3cde0f1a43da6c8972032bc1df7a9b6fad9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b686c6ea06b2cb4a890bc0c09ca69273766cade406df7ca38b8286e31f053fa4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6928edc1f0ee39e179a73a186e215dd3bf5f9cfe23158435f457d4e00f4cc1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6969dd7cedff3a9242075a1befefa3d234fa361eab0053005adfe159ba06233.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b69a808c619da86d25e62639e70c5b269f71372624a0d8d57ae85028bf28fb2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b69bed925aa668a4ecc80a9645e43d60b3cf0a3b8d3ec7f1d92e284ac5467c7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6a09564653127178a174cf866f5251c614cfd35c11f11b0c2bceca778a3f3c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6abb373109ae6ef50764d607e4c0e90dfbbe85784b17accf0c1c04269a89f5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6ac33aeb5250854055b6d9f89dd82c99ccfc4f11f2f5e6c8abdd7e76692419a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6adfc73e1d8d81080bf4e4b95b87b90c7f6577eda190e8219990af4bc51a793.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6b45ded2064f6a56bdb1e92a4b021d803d2becc5e495051bde2c14d7e9792a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6bb072f99b19dd1151d8e43beb65b1f469badc31a928df25daf799b4ec86540.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6bc4d9447af9192639d731253093e008eae8d88016b4148de119a8cbdde1942.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6bc5bcb19016f4f0762522bd56481c44231f9d8b5dbbb4f884c2ecf93fc983a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6be35e5523d344fdc2236c5db76f4aa6fe46d81111d9acb20d4dcf0fb7299bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6c2514675f4a6b7c9b0c6bba2df9816888bfd74112aa86859a9df6a6ce237a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6c4d55ff599cc8a5375f36c7f2e7c73c2c8f37048449228d824cb4783cda5b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6c7ac1e8cee9366a1ed0390ecae109f7a108d33832c229111082818479d33b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6e0fe7c027b5d49973a5310dcd0d05a52c0615777b0f7a3e4a221e8042dac9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6e1fd5646554e411de00da13ea4caeae73689adab36a18b9c0dfe1b6ae7c62c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6e5e23d835f7162cc672b20a74d633c11e36dd7ffa27c6c918fe069a756e580.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6fab69010b8969f3663619a3d6ab4a038562725d9808afcb23d8aea8e2d7b41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6fd32dc4dbabb10de20a6758054a26f7ec0e933a1b2065e3e6d27d0780f2360.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b6fdfc3c8b789841e637c0ac279a97962324b58e0329bdf08edd3844678c1216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b70c7b2ec1e53b204d2c3395297d55da5459cb82d6f90bcb84b3b6fea2614e71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b70e2758742f53376884204a8ece9283a7afbb1f7fcd86317c28a4a6a38f7742.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b71a3a7bca78585a30391a78543bb1b42ddb1285addcc6e72060219659994ac2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b71f65da3cfb006530bc9ece016a097a27e08d5ed648d185009d0573a0fe808e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7360901dc390bece416a1f4a4d86b7047e161cd1c6884fa38116760dc4353d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b73f6cccbfbf1f47fdeeb7a5de9b2e75bcf56632eef5cba81ab7eacf4f5df515.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b747e3fe7b07ceda424ee07c50d552c97e7ea5b0546966f7e618cb8b80c8ec89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b74b1c16cf72f9a6c3d2ae90480ef5b3d1b5e3d12a295893a6bdc4943db6e70e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b75b003e47503e51b0f1668f1c03cbd5ba28bdfa29f4cfe4971068e5bfb85b6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b75b1147f9e5ad9193f94d92e1a7e39bb1324d0f17b60eca864ca7db2986e7d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b75b8d46cf3d3bb00484e44fef52e8a300466e007698e4dfe9805d45393bafb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b75dba4763f51d9bc67bf7fdc19428da9da5259d5f459ec352a3f58c4e5e5244.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b763d6209bed982669f07bf6326f717ec6d12a8a9f08ab36f234df19424e760c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b76556b4bdbd92ca2b92a71d3f1b3df33a845df6ad9d2371ba757307a172100b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b769e6d2ad1c21b8402070953adf563dd1b314ffcb05188094998d0fbe2940e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b77109097325f481ffd003e8cbe8a46ca0cae1d9d5fe43cdf00401d101b5c3a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b772a46a24caa43ea8067b1591fe9cc67448704cab0f943d6737e20f7d5e2f3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b777539ff9107dd984dc452e55168d5f37fff4b6da0c7b181dfd925f43b03425.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b77c757b3790c40a219563419e20a6743a16dab047f6dbb78cbdfe5af3e80ad3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b78f89b4f7eec44e8f36c58f229e6332ba0051742541579f7f29a58a224f9eee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b799ff0d8004a793dbc7239bfb1dd975f67a06c82407124843f3e5f743572c48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7a1582bea0a9f724d41833439ec2ccc53ebc004ee7b45441deadfd3b83e6995.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7a20bd5407f56d21ce76c9026e41c9432d760901bd391ddcccfc3f4f0f7db59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7acb2ee78756a79406d19f31163b7b981cffdb6093c733a9030db8ef118daca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7ad93ea317957adaa33eaf12929e6255d95deb4f5156f87474cd1ab6405ab27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7b3988618fe3bd08742e82666a1a5f0552ec533e6e4e69d9ed3c7b14e71ac2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7b9d3e7d0ef96e2cf3e8eaed039e17b1068a1e9efd2a1deefec88576b54bdfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7c4820a01369b7ac0683d216691528d8a888d9d0789a57173cd531ba837ace4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7c83485a226fddcc62b5441894d32d0f81d7bfaf9eb7acb1b797e13b0784cd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7d028abdd2e093752ee116201dbe4b1c6b123c75289aee80069d3db46bac511.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7d146dfedc669d5fe2c7062aa341f42bfea26b70852eef3521a35a66ac5a117.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7d7defd13aab083c7c3e10211eabaca24cbc211f6dbea2b6de89fbecf8c7987.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7dbd02f311b393f89750596e5a57d124a742fed5bc4ecce44e640e1dcfdd807.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7dcd39f0d25c09e6a43dda8fbc9dff1d7e35f653d7ce2cddd12d9e6d954ce66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7e1b3ccb3cabe19763f3192ed4e013571a83ed600f303239504e7d31889107c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7ee11d7d3a9f32e485c74c979340d6df246f2eba766ebd826169446516540e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7ef3ee05db33465c40cd62acaf0d9466fc9c09f4beb3f42195f0674128c5a77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7f4a10eb29bb69432a02d3ffe6f6831accf71d841e02b55b608cbfc75f9b447.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7fa887e74497c6475887c1bfef5e2100f50b3fa7b631913e1c08d5c71da2c98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b7fb3ec8cb5cd4acd34265f27b44e7f0db1f216acc63f6582aa2e96279afc5c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b80256fb9c0e41bd63d8213c8a8727641ca3b31363ee85d58a2c147763dd146b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b80a573baa3d2324bb9f79a34fb88a0ff085c7eec26d5e8c3a76992c87f062e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b80c50f30ce1fe7e8ce93bc7ca4b10df795334c2a62f945f6422bd4f67bd6b08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b82b3ed69a5426460ef7602ac191cf9ec2052c831ec8fbe84d31aeda057f434b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b830bd788b2595397bb210471d29697f90e12864f69f7e13ba981c615cb4b055.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b83b5fc1dcc133b0ed13068ec9a8fdf00578fb35535d13c6e26e49fa4a469327.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8416a0e4f02f69e7fe4a5e6f352b82a34bfd0c461d2c048e895f284d6c99e98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b845040984589c28d3b05ffe3ba74ceec779a3fff09cac966fde1711372a3d99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b847042c186f3baf2c62121981ad622087ff42d1dd5417ca1aea072d672e3e6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b854155ff71a90f9ebde402c8f58c0291e97f3d2f070647ac452a418b9b3618a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b854f81eb546596847fbe56ab9099c22a4f6dba050d508c09bf5713809f8efdc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b85a3463cfa77cdf2098ba38c01df331de1b0dff6f40183d9e19ebca242a46dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b85d84478e900fea1ec6fbbd69737ed35ceb155e72dbdf62814ad1eee6b77a12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b866706a6ba596faabc08efcbea327f96fe25d3e91bc25bd1df0294a21522d51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b869c6511c17cee81e73e4968f46aa1f1e082073678246bbc4bb042ea46dc5f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b869e33908f341434ceb4de30faf8e8a5b48525e2c5da28f43f3eeb44d91461f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b871016d6c32687472707a5dcc1c0555dc2c63432423c13493a5e6f172b77bc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8818bb38b887dfc958b6c6a96e9b901da425f4593a3d0d1902b01efc21bb6d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b884aa09eea261adb7b0cb634001e4345409a3eb426bc857ca78ba065c810a11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b89eed4c0571d3956b816b9fd6f8754da67903ee110a8b58fa95fc46b6b8898f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8c678c0edfc8febfaf5828e9253c390ad37fbe632b43a5e7dd07b0a893be608.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8c7af61b30a24f766834c84635ecc4526865615b91b7e9de29eecc06b6cebba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8ca79f20388ca6d1c8f6ad245df7701e18b9a6974557fb3fb3980304a1b4bed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8d292b1d59967956a6a99236385581c88e632b1c5d7288501484441cc716ac2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8db72c35996ce74de72fefb8c275a060e1547d8bcf12ec34e29e45c678fc2a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8dfb44207e64d1cc2ee7d896df66b0361b236df1c5158fa063e697481e7b54d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8e13ea548bf2d7fd886738a711d3f4d7dbbfe695af7aa693f6efad66f99b172.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8e72671a9591bc0d3753d32baffc96396db44333bd7b810d552da12d6eb514b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8eab4472f5a8cc96dc25a99a21ea50e1cb51e7114a7ae608bd13d968e4f3589.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8f275d8e98caca34760fe1175a363770cf9e77428745ec28573b68b5a105b06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8f4e6bd513ae203d2ca31f9bf56a75a5a4540dc3f53ee8cd2485a20e8e6fdf1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8f7d389cf185e59b5e721d4e5d54e053721836fb561b216a93f4b4dc55d6fe0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b8ff88e712cf410b628ff28c699d2effb49eec0eb4e3209c4bfdef589d709a85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b901722ce1259f6c03846936d163a8aa6283cb97c5d5f122c13e6509d11960c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b90326fb27d909db780e88f54efce7dd036a8e0463d77980afa957a7f20affa1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b917322d5f071382d7a6deaa32079630b38304f45440afffef27c91232a88f2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b918e281c7e3d8bed7824e1420e218dfb70d172e342ed09fe9f0f5a0af5e22ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b91c53d08b4b16e23de01e8667ed82f1053a230f445ec6ed093afd2bb9fe9e77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b91fce25f85df58d0a8524e15fc5dc53876fd8cbae47c733b37c51589de2ef17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b924249bd59d90552902700db2068c885970893280e8f4a280690d8b683ded91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b92da3d4c173d11fb009b865e37dd89786edf7c3dc543ce6d220c99ad5fa8ed6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b930dca551570ff10d3d7d2993056cac3656076425e80b489c901c6a0285af1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b93145d00a275a9a05da16b4434b26d6b04173538e7b482999e70eb59add5717.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b93340117f7596cfd03a9075fa05252909e08b940d7e84b8d6e9652ee54d5db5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9341ed649d4a953c58e0698e0deb2f0383c5c6619c67de5c033e119ce4c1ff2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b93f1631e1575ffa9733500fafd3d866445131cab216c33793b6255f7e23e373.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b94ce771dc77cc0f8fa795039544a02408939a96451dc80d443252b255c97e58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b952fc77d2b9490d56d355f8bc817f6c85b6bbb0692c31588821ef80668460ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9531d9f46e6def944adde2e3667a10a2c4f33df388220cff97681a7c8487897.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b962791f2d0ab4eeb08b9f4b1bce40e9d1f69b785130927ec233ffdcdefd1344.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9676a123c3b15fb893813d97210726f9dad0163894f4f70ea43e4a95e5c8908.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b97476c96083335069ac43f17a7e0eb8cc1731cd2d9c91d0447e5b77f9da9a29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b97e539f19123f7930f81ed2f9f694a6d4e44ce23fb3b5832ea449a046040f1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b97e6bb499ad3390d5a553c8c519796d419911c0ebb6e192c921ff98236059bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9849005985dd16d6d9ab3ebd2ec11c937177124f4fd9832ba84b631542fb63b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b98a390e35222e1502efe0eec1361bf3e7ed89a6e9e614c247a9ba8c26a69ef5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b98ae8496db7d02a209c1354b99455eaf5f56d1d90dbcab127313e931d7930a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b98e8df279fc28c7003ec7ce046f42d36eb6e4d676cc3dd11f06e9647e5f0412.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b98eb167056e9fd9db27cc5b9a2044c2326cf3109bd88344f567474be059f13e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b99596ea80d344d0d0b325da1ef3a56341013827ca825211ed7fa3659f23fd2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b99ccfc19c9715bb242460cf9bdc3aa2232ba169ff24715781246ae354ad3687.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9aa49eb7c83d5439f75c9fa13a06315c749a3a004bea75ab8a7b74ed099b5dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9b41ac4e6a6cb0e3d7b48f0b8b871763e7dc304748f340c90949008db77fa60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9b4d12db192877319353936937cd3e0b52740f595f2e350b3cc1d6af5636581.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9c1e54573946f9891eb6c146dd88c1baa7901a7ea98e04ff4447286cf3474af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9d8adc4c3f167fac419b57ab9582528001fb5bac3992868733704df7e0b07ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9e454af9baeb53b259c99828f4497fa1a931ab43a26b97f1a0904ba450a3401.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9ef11b0a8516f5858190f35b1d21078125874483707b014c06a0bad5c509bfc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9ef4433f61bc7b00338448b6420d07d3a5fbc153805d6ac65e875208ba7f2e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9efcb3ceb8be75f70500770fd39bbe4b0723bfd2ebedc5d2bae8925ef8b2d37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9f368ee5fa2a9457199368157158ce0cb43b97823e3a4d129af5e67c620fb5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9f3be9d931e427ebbcd9a33893f93f9976fcc73fa0a42e6c64ce6b316cdac23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9f5e793410a2d06f84c8d3b487cedba534870d1baa97cd9453f62311d4cec5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9fe51c394c07603ce467b4b021b31692b4a45e32eb883b3a005aad4c2d9e52b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/b9fe7eca1a0743e1ba58975625fc1fa9327e271508899f6fb3f4af4864d96566.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba024093efa0d0c4b2d4e5b87d8449d40bc6152051e79d55de573f3ad698edd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba02b6ee6c7528292e626bd20ee9da05ac45169c8088b0b30198717ac7b5adde.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba105fc5db67fa43c54e57d78c100ef7bd5c99d1a78b910247435d4a5b132e5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba12b468bc8693fd1f1e8057bbc800c600f2dbff39fe9af0d0139c6cbb653f82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba1aac0eec7ed972bb277a7153bb8551f87727a055c85be5635d97c0b33953d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba1ebfd6d06f19d9fbf0bee713a161a5effef76d251e9f7be8bd76611831c444.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba20d626f30bb7a4fed164aaf43ea337cdd85f31a37cf2ee5512b021963139d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba2f240cad49c6822023cb9791348e98336967995fa4a65772f1df2f024dde88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba35d1d39f9f5054d0a4ddb32ddb40a5bdd5398c952b959627ea0ad9c094acc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba3bfb0df97dec2d9d88db9c2cb492b759e5a9c56a82650cec732445bcb91f9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba409c90919bbdec300d4df67ce797144ddcfe7253fd17a55fc33ed04cc42125.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba4301e2649c0fb4a382978f53ac3065845b53339230191ad9ad7b76c522027b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba47dded3cfe1707d365ed6aa3733641314ad9120555d056e73c7de716ebe6d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba655939b5d0f820d29736f38f483114e6f72ef4f85a5c6089822b33217a61d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba65e21310c059471fc0d97ba51bfd61228d6f79e46f175d0dc801563a61e0b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ba8919f3e7896459b71bc23afd22722413e0833154d5e4f4eca0ac5cb9dffbd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/baa6c5445d40a78ed3a1b92ffd85ec4c44b03a794d4677e8ad429fee9e73a032.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/baadea0bd6fbe51e4d9ed47ceccb14c020faff44cb6ea98ea5e6b8301e4eff0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bab759ee1b427ebe57dc8f39226ce0f3960571dfd26869101715f344fa1321b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bab7ce2ef3cdcff4aaa0d99444036f0f53fe708b2eb753f7862b230ccf9da561.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bac931662c8ee625ef8fb2e3f286aeb4c239b3ab94273d70931b1d66ec4288cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bad1ae7800dff4935ece136e92a33f233a58e4fbbc4aaeb7aadf3cf513e17a49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bad1cb1c3be2059994678197f367598bc6ed4ee68caa442934e907f6b95b29d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bad5f34fc61df1bb78f5328509692e9661198fd4cce2613db9dd382aeff9200c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bae6c8ba6d474eb76822016af2d9611114a6dbab57bae3ed131b71d35b8fa821.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bae8830414b50a7eccc83ca51aae19132963def1765ea22fd65be0947b83a4c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bae96d981c3cf66ad7e095fc1472925b4b31bf16f864400b90f80710dee2650a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/baf2c2a683113060868f02cb4deab93a08fc6c45b6558994501f4414ba850c0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/baf3ad928fd55cc8b8f15d82ec1107ce319d7e4f5bc353e1ef60e4b3e764f41d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/baf55be76e5f9ac230e3c95fdf97e528521f1d48f7d4d513b776e8ec2928adbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb012bbea28400a9d6bb7aff075449b4542259e2a565f6fa2e96aee114512a39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb03dcc8116e447e26869b743dec04501fe776a1630454419fb8f642124e8953.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb094cf14b1f121b421ed536789da59844b20d7c7f1b490fa9dba8d0c8e60a8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb0d736a5abfc5976c6265f4637bab0a6f5c534a582e2d872c23882a710e66c7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb11905dd2afb3ec21a7c745f7d7007f3e73f9383fe5c7c0dca0c84d702ce91b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb1b5b06c56f7a3426843bd61b46f13e349f50f532e64ddb3cf0028b5265a929.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb21eec322f7b1f343fa61c496824b34023adfdec11e26dc74c396ab8feb2500.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb32ae2b0b1db4c866f28791b03ef49c98949ea1eff612fdf1ee391125310c17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb3a59cbf97bdb805db1a91f8d7af4acafa6f78c41a8c70556b89caa95a8183c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb3bff81137a6252d4dd62bf748e3f84f687e70cfa7693dc1818fe5c3486e27d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb408d4031934cfed7afeb082c0e1cd557506d43ca18287d46b4b88075c3d5da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb4272a038a3613ae620cf10f26275d32340666efc673e3e54f929f255958c49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb584d628373c03da81777d8543449a487f6b45c3b4585ef7cce8660cb84ef5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb65c6c3924dc07f10e3753e1f1293deebaea16141da98733eedcd52c50dfdbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb78460a47b687dcd2584acc2109ca053f22020cccae9d14726880523d17f4f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb7f4630d3b2063b3f7da5e156931f12a0424c698c19a651d179b00fa9ce12ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb840d88f3f06d2d1f3545b76ba0471527eac65859fa1f9f8f7000abd71cd107.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb89c0c833f54c61fea715433c7ec7ff6a6d5b898dbd42fc09b7d257e707572e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb8c57e95f7cad3993bade15994f6f62d05f5fbbdae935a9c638421f28c293de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb8cd76e6e830cb4c1d0036f89fa65dd2c195d0e8597f9bb6e0e86307ca67589.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb917488b5c59b0e2ce06055339d825906cae5ae066a3d486c53f3bc7ba53c75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb91dde6e495e8f1d7e723acf2ff8f7d01605ce92b2e9af8310fe7121285ae04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb9b563ee4803ae51adac744025eaad66c9695e45a6af73bf89bd9f7bd73ea68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bb9cf6791feb013be21fdbd74f1db49a7bbcc72957a410372df8142cd1093770.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bba1e13ac5bca608f00fa4923e8c5399608244a8099a2fd2b681b2bcce4250ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bba51b02232e1f8a2523e41351d8a71540e244c0b804dda88bbe02c563cbbe5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbb3b0bf93c3d02a6283e7c75d1f1663c586c0fa32d631a42aa39c703dcd43a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbca9c037c571038da27ca94a9601286eb9280bd695d12beab55e3fba7420c19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbcdb7cef0bfa2f82935842f141ca90553f476566aea0318a6768a2fe03f603e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbd11c914d84fe0f68f02a8f9db3f4e007b943acb2ffd03c86571b1a760b991e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbd579a1a747c63c1d4839f14b1552b738d11d427da7bd32181e9b303b694a4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbdb904c60895c6f116a8381e6b1fae765e87bf27e6079b6e55cd69a2e3c1906.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbdcb00b43288d004a49c94db8ed3a188feb23400e8fb707d3f2ee428351e325.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbe4652ad29e3db027bd5f182edd4855382039ca35c71befc780e3c1c2d4fdab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbedbcad7a57bf0eda7bc8a61ffa33dd2dde24b65ab69765c4dc2e814f913b88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbf1f49769f91b3f5cfb019e278b004f72e4a6278a32206e921dcf78440d9187.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bbf56bc85bc4c313b08b1b433468b48b8f5aa3d70c9e1c89b2c01f7ae4cb53f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc09d257264895a8317123da4e016cd1c8af01c19fe47069111d5440dcd69302.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc185670c101f41e36c22d92be7f40892c86d60cc115f48b481e7459ab84fda3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc189d0424e73af6e2d57583251d34045eb25c0cad01ad816927ebc88108a1ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc1e273e6d59b3477a1a5d23367e66c35d7dc611b1df3436f63a63cb4f206541.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc232ae0a3e508e002a9d6e225dce5cc9e4c7c918acf1ad99887e3021995507b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc250c0c02e0b52ce27deda28f5f5bbad25c71596ef54ee3e33bd6f0fc0d5f79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc2779ef473625afb360768c70279bf508232beb6057b2c4a17a11e8919fc5e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc2b5760e8d4a1ea3d46b841a54a3ac31479d574b76c62469e79a15cef41bb56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc435babf2dc176b737d219ed3fdb74a0e92487f395262e4b8e2b9faa90e06ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc4dce2c4f9e39d82574de2730ed22c4351bbb0716afb55fdd160a3d79fa5416.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc4ead19091eea5352d0cee4195cbc38bcc09f59d26a366ef63c2f613e8744b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc50b957a7cb8c0ad6ab4efc09bcc1269f86b9f89302ea6200232bf248c37745.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc578d3e30849213c87cd7d87dcfd9b6fe62b466a4bde136cf1a7aafb6fe7a85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc59f3acc98ee4dd538edcff758e1b57273ab2816ee7eb30ee6772f9950784a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc5cf48ec4cebae71e7c7f86d2a65b3e1bbb8235ad6041fc8d3898e5cadab62a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc6473d04f0b53653cba87938a85f8065640244504cec2d6290f330d38cd8f0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc666fb850342869652a4a01a51e595ccf0367d08b0dc7e1415d1db3cdee299b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc6a3100fc7e5bbaefc0274cb436bbe475a5c3e7e5c93c6ec21b8856c3c57ce1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc73a14d329c39069a92a9564798cb7b9f6750a8f425640833c2955dee71670f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc73f6997e3eba201a50c32f66165ee5c9cd44c220c206a7f2d2728642133b4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc7824a9ddd3ed0e203b63c13e77e3b74ccdecd50858635f0d0fcb530cc5c1a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc7b7c891d7862e5f09f08a483f1d0f633a4686a8591e63fd37732ee6aa466d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc7d958d3237189d8fa731e0740bcdce399277c2df1e040211210376367702fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc8d67175bcfb1dbfe8a68d4730060c9b0c1a94b048d5455e7b38eca82c9b891.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc9ace690201cd4b50dcd4b7905236d6aa3b11b603b145ea694c76da805ff6f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc9bacd458ef9f259c49b0f3c1d0f6d25b2c60916eed644cabd193d18652cc8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bc9f0916843dedcfe887ca6925cd3ffe28ac6225a56d7d9ddf5bcc61c6a90957.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bca2134d04fcd0c413a55467e3d83f15e3e6063369f17e6759c1dfaf6a92acbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bca3c9f421184f01e650cbf6712ad754862b095ad9aac3f9954ec8c7ea444c55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bca68d419fd2ac727a8ed2a81115c9ce751f4a97aff34d11aff11d7175238385.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bca8ad62e23d6709823fc4848fb21f4becf248af917d8163bd83aaa809fb1bc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcb4029a13d89049d1ad0474fdb09063e24cd65bc0a2c396c0111196f77e63e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcbe79adf44640ace785c5823135be6e884468740d893246cbf867714f0b851f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcbf5efe32861c0127927d1f36c7245d25f148a282b28d2fe2c8275551494e05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcc6d152dd815ebbd88a9040b2a138743ffe8001ffeecee0fad6362efa85edf0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcc9c144698e2a4403f6dc1cb5e51fe5834f0a933ce5f500cd6f8bce486973fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcde27c9909cebdee5391f6280703ee3c04d1de040612eb633072a32e53bc11f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bce106360b2d6ea02782a83e118eba8e4a849e68b6f20a410cf571bef1263ef9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bce668fff643f4aa2b2eee44022b7468403df416017ad6789fc73fc24bf310a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcf2f9520ddbead6b1ac5244fa4529e37e800be4345d76c9f6cc6b066bbbce1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcf31dd9badb0e6ed8f33bdb8d776e518caeb8a71ac6d83447d47c7e2907b55c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcf3bd4ece56bc2e5550edfcf29ba97afe863d4990ee06aa3dd2b7b8f6f09458.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcf88618c7736e8e5e8ac6e105aa1eedf46e55fb3fef54d10df52565038814aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcfbfe9bb5e88ae1c90cda0d147e5dbce3b372c48675bedd3f0c8b8c54d0aa49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bcfe80b1d0b95b86390466b9873f939b9f00a5461932d789d5792d153aa5ab3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd0aedb2050cf0dbb33b4168a300d08d7552381fe910d5a8186cafe9678e2f07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd0ce02ac1c9a2f821a7a41ed34d8aaa13eca18ebdd3c47053f1ff170e346931.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd164d23911e56411dd8c64d47d27f3594661d7dc3d9b72ebf758f2055bf9aef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd2ec306a46232980a02cccc5c2ba60e2b814cc2562421f6b7a433d7b5e10313.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd42fd2457356aaaa08f9887aa55c735154cbd9567733ae09e0a3580cc699e02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd47f25c5e8ac319a9ffa67f90a58593107528bc37655a2398274324340abd3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd4de69fb6aa39638d8543b3dc80677fb9efc9ac7b3d4ae34abb3a4dd14df345.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd578770f489b5ad0e346c8c6f4a60da26f96367305d7c1718c2964686ae1784.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd5d5d97a7c8aeaad4815beb731437eb31c86c8a230ad669f45332112f20b7b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd6114a5f210c1d99a16911658bf7e1df49d8e74e3a1bf0525816874cafad273.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd6df7013f7630a62464383e50ba664a678bcf8fa0ec6de3b8adf56b5fa95205.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd7001ed56778c71f4d28cc9fea20d4524c2da94d606115055c63f24d1db16fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd71552c473ded6ffcb8d98d7452f44d1fb19ba3cdaf291247893a011d2461ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd7439397266c40e76891ce2f892d9732c2acd4314ecfa401efe00951092483c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd7a67c00bb78ff0ea5767ddaae6670fdaa27b46a97e5caea764f4ee07645bf6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd7afc764fd20143cb725f7cd3bdbdd00a6501bb5a1a710250ba49530a637923.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd7d9467137205d116b0d21de9160df985e63b572b22e181de383a0eb10759ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd82d9dde0f56004e0758b6de31f3e68ff0f702f9f14b48ca9ebff0c911fe503.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd83109ab36ca97cb518ccb046ef9c87c7f75806fec7c9f44b1f2d6eae887661.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd87247698d99a93cec5f792db50e6e0ddd8e6c4cf206db372424288b03fe8f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bd9f6ab9781ce512bc0170c58cae37c0340e81ee6ef02cb68458d4e5ac402607.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdaa9b2ab73ee541758f6059f510d32878c4e9da1ed42c0facbad8ee12ec6912.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdb0bd66dbc488344df9732a8c84aefc141531e7d709052ff2f6f48bd4e669b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdb142a5d6fec4d2b93af376157ef76d2e4ae6143efd715e464998b65a42d184.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdb94e6f6ec0de16aab3b03b6f297dd974f4ed6b299c685816406ea74c6cc5ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdbff79774183ccea8df36c2e1e6dca574b6bfb07645b8fefe0e313a3d2f1073.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdc67dff0ff08ff299d3c82ff73f7bbbe18d98dca21350b9f023c345ac8101a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdca8b8c5a019c5d87fa59f54f9f6af1cb870ebdbf82700544f8e8e7c6214c5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdd863265944d71fba521f85531938794c2265a59d70f2ed503f2fc7ba4ec516.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bddc43d101415c90a31b8bf3635adf642861a03dae71879a699f34ef6c2ab410.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bddff95466524d1e0781b7970b4d975c7f78913e94861f7f280894f63484776f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bde18777eb40381484d66653f10e33053bc1a2e743751342033483a52b3e1ad9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bde6abe819eff99ba18d19812d410cd53bb80b2ced7cb90f199aea9a07896ef6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bde84028d705283e9d7d08940f5f51e650bed2b0d6ad903364f272344f97a7c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdef6c446aa728033cd4b4c2fb40d1a0a126ab0d2e1313b24b7569fd52666e71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdefbfc4bb789165a85a37cf517cc87d0c279b7ca693ae262ce2c2d8989849bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdf7be4cc338715a97d6140331e513621aeb74825bcd24d663a910471a830249.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bdffd69097e781fc9a667ffb563a4049ff6864cbda29a8c8a40421e4a70fc381.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be0097230f3f694fd0c0668929c3e3d5b3571a729ed3ee89629841a4418362b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be0a0d7c264d368e48d05b26837dc6927a7937d61c9458a560e364d8bc53ed53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be0aa4c0d7f2049858819ddbd2413c7c5b9641e307414ec69074c83d14c804d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be18326bcb07ceb555710c02f9d8c2b63a95c0fc574e6f1550e9a393ccaeff72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be1c3888b976d5bbe722e017c17f6decdd520399aedf2e917b0be0092dbc7ae1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be1fa320b429fc56647fb3a006bd1ad5dc1bebc3d9ba8cf234087c4e21580805.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be1fde69592edb50b81768ccd66ea53c936d703858ddbccf4941094451a4b996.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be26576deeb7499c777e704ea2fb734854eb0c590e20a470631c97ccd63b383e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be2dea38c1d8a6c8fbf1b207c54513fd66b2089416b5257f195f56ac89488773.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be30d924a97dbe41f37a30bcabb25f306226a185f34f89f86aa9b310c6de03bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be37669f33e90a77e951230b63476c7618ef8517f39c45180d59dd97fb64d6d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be4da08917e84e36b3050abb6ad76dbcc37188cc0b7864e5792020af2a3d1429.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be4e969f8df77621af99979e8d0a184ab5f4a2cae53615d6a67b49a2f996efa9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be51ed7ea597cc5f7c4faaaab9c0d0517adb32c8b5b2efc41fb2e5937e837575.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be526b054c1336f01f778dcfecb25d1bbaa09feeab923268be787f31cf3e9647.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be52d2b3abc424cadf2ba95c9131d473f946a4cda2d30261e8edb5d9b2f1d9b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be58062a978c27575ed2b1a68eaeee6b7aa6695fdaca6c893149f0297ab388d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be5c3c66236c6fb94ec97d3140419c939e29aaa449deb80ed81153bc2d640e53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be5d2bf0bcd209943b9e1c6540ca0f5f493de69c7e438dd3f958d9e82da7512d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be65e13dea393ba4bd59c01d944fd7ed607fb019e91254986d94f22bf2062d28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be74c0220194d3f64e501362ae93bded242e2d005c36d6f53cb5280f419c2e86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be7e15c8da0ce814d4c8599417da62a5837893ce5ab8d48e45fe37ac793071fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be89c680bb6a0808e6e19f2bc6efb35f01a225c354b7bac9eeca5c0ab58c90ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be8c581f2ef65f3535ff2ef3790949cd7600906a3ddeaef867e2f338e5c9bb57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be95ec39f7359a8ac937dfb41ee48c09c84e00f92366420c776163a00438c023.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be95f140484fdec9a28df5a01891ac7b1406c6ca6551d2be4b279e70105eb372.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be97c2c6e1ee6a080dd5acc170de6254a8c662a2b6c7324177aab175e91b1b4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be9e3ff323b5d04c7624dd27b7eddf71db2d56f2f9b114183eddc0388a3f32f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/be9ea7c37ac9880f33c8d3cddf491d680cb59f79b3c37caec15b43622a8c7ef5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bea1e67064f6feb19ed0f777e4a33c9b3b1046c60f8dc713770f448e50856b24.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/beacb07158579d7fbbac64f6f92e94412f8d30ee9dc923f8e2f9828091795dc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/beb326ea585559bef258cad340e73bbebdbfa998e24d8b5fc6984eca8f7cf060.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/beb61ecfead25b805020a10251ea7f6ad05756494ad389eedb1d8a276867dfad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bec4c135188291570ec49d08470e9fa828aa8618371b01cac2a69cef2445e466.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bece8d42e7db621a7ad5e3ec73543969ee6caaf9a17daf7559b640db3820fc15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bee48fb11e7ff7cc972f0eb0541d4d5cc99ca06317947f09f76120bc0b7bfe71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bee59eb244efc81feadc03480a55c492a577b4970fd42324a438854f32b6b7e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bee9b905de56520b59b7ba27c4fdd587666c5b860c3469b368740e5135f8302f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/beeafca21a2b6e4603d1b586a97f98390205718a7638beec0a2c28dccd1d3203.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/beec5cb2fb3393c080493645371fa66f18843699bca4efbc5b89f1c38f14f8f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bef41de3e180dfa7c7375cfbdfe87857f181eb9f06eaa7d242b5a922f3669e2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bef61fd20cfd4c062ac13cd946361dbd98a8d408a8e3ddeaa2718e03a14d8dcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/beffe5953f0091d0497f339979d0718dfd33adaaf1ee5c2545f384af63c16461.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/beffe8c008d2fef9d18c2ee917ca8fe549b580867c6414da3b979cb29e634e3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf164e0356ca906e3bbd3c289a803677f985d7f64fc5d3463d757d6dea3a2630.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf1f611edd9c251df70bc2ca86a84a5fce8f1396bee0249a1ac12f17fe253715.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf20c5cd8c870cf391ea45ffa142628bdbdea59071176002af8554cad65d3d90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf34f01bdcb00b9d4283bb19d204619eae7d839e329897a0106052823a6e5815.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf3784027584d9ae4957599e0ecdb223155b4424806e602f91ad9bdc7636c32c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf3c6f775240a566fd04cfa42f45a6259c0a26988263c97e8e80988cbcea0801.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf4afd837615485907e50ea87f15c205a8a4389a5fe319c9ee505faecab69d8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf4fb3703df380a0e07a988a9d2796e6f3ab5d3657640ab623c6383adc4ccf3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf52f72f67f860fb9b1c40f2ebaafed1af6c16e3c7a66074cd34c263f1e56744.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf56179ad281ee2f5fd13eec9578c642ed209eae984c8f6586d1e2e3ac5bcdef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf59a96e60339ac316a4d2687d8285cb6e4d569531600a815f202ff19697f7a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf649a8c5555fb5e5fee34196c335344315f6894317886d04b23763b73bf0142.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf662b2bc3733313ba631901b7b10849cde4ba6040f41a3edc32c6cc2d19032f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf6f33abf5c2ed5ffd8928a293004c5d0678824b21a44e58a88590c360aa418d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf71ec88aa760c8597ee4dd76774e5b3f5a49285506faeed17a7d075f4ebdeca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf7252cecb810ab8ba2b5f6cafa37bd92639223fcc375dd504910313201d156e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf8dd11911e14cc1274ea3bda35a7ad6cb6ad40ea03903d27fcc1cc9bb081e27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf9273e5fc1ddce4c50380ff17ecc74feca128673d0b72cdbec919c21a6eeb4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf9c4eb72655b3cc7f06c7a0d09d9d54d59512171a449bbc41a266a45973ca78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf9f457b349bf0f5f8d6864d131214f412a74d1f4064bbdee429c6494b8cdd5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bf9f6af05330834cc106af3453e15737a3ab38597e5ed0a6dfd78dac4dd44a8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bfa1def9235d10dbc94d6d514c0d3e891972ccd3f42d1e6f79c71b8c32fcfd15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bfbb49f6a72a114b25424fcfecdecb38b5199860c092d288f3eff4d49aebf678.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bfd0266f5201dacd3f046cad6c1c79703985f39332d8565842d03865a6c62899.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bfe2862b95aaa924b38db7ef6ebf8de9e11517882dd97abcb0f672e8d392187e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bfe4a21fca0ffb7f487b21e9da160babba13e53181cf03b6e3b9714fcbbf132e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bfe529a4062cccec5e1e4daa24cbe1571040ad768044a919d5715e5e6b619ad7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bfeafb49799f7a2b42c25fc04939cc5cebe518eea19daddf71ec33cb975ac78c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bfeeecd9c9f1e5d99a8d5b78e09287012b47e7bba345b257199f1c4e7201bcf5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bff899082870ff07dd873abda9467c7a1857048b0b32c9bc5923a78206878975.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/bffc9c362bb93efef1ec1fc565652b3720322fe852a602ac461850518cd94c1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c003c21ba995e0717e53792d31987bc1eb52f7f1ed4947658d515c86863d88d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c00913969e6f43848a159deb3ede7bfc1c29f0a47d688e9b96c9f733b7f10442.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c00cd80b67fef5b17f46d740d82dd75e4a0fc12dadfa1be6ca5e0cc19efe1b03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c013c514e8b95a874399e32d88ddb2791c0f2070cae02b194d896cf3fb184d12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c014311e64c0b53b9a52e62047f57ae2f6a1e0706e09941a98eb90d202fa5bb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c014908346dc480c4a24ea71de368de2815d0128f86dd6967d9e30cae1bf6ad8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c01aa6cedee76a7943d7db0bef41c355850adab0f8d4f38d7e944e363454ec3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c021af4a640c2b661c19d54c5a954cdce56204c27dec34e80b5facacafdfe04e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c023984cc272b2b5af8764b7fec66517b45cf7de118a22ed51555de6705d6b83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0239ade27dc206904a57d077fbadcfde289f1701fbb939c648c7f49101fd8fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c023b8aa3908e8d302fe9495360e3894ed4860104bebcfbb3100f3d921ba8216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c03005903989cc44a1cd714bbbeff3a8f8e6b480c837aef8723899e01ec90333.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0342c5d7197f72213a3a5fe1c3ebdf999b2abc2b274e05353a8e0c932555bb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c03aedfab1ce7e0de01a5c10f56ff2fff2b7ba5d0738c44292f8991c78f4ec6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c04241446921cea4eef5f7fb525139c68932e37abdf295ec2d9f9ff8eb193d4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c04f9641225426be74bcbcfbb0517029d00e08e1c464107052dbbebf7e410c97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c059a883e1941471ecfd8adf3eea98ea6e62cb8036e7f5f56944966695eea3fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c06e163dbec1c9b89ff65aa7cb255dcdeb2dacbc495db7b8724724b299bd74c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c06fa7d3eae7df83c61c3334abedcc84675f2e169fecb4e1a24a6b83089233d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c076615940b6c8a5264a9e8fcc3d21eafd16ef0cce0092f3097c7a17abbd0e31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c079a5534bae89e71b1d47b187cdbb12837e016550e40962a42ae10475ef4829.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c07d7a842a9d14c838e51d9bf21551656142e9fad290d7c57484dd3b71394fcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0880673f04c56b2dfa700f68d56d5b797a1107429ffc37805d65851121afb06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c08dfe2b542ebcc470d3a9e80d1ae98013352e94a785c5e4ca4f9872e106b09d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c09297b4ab930a7bce1ba1f6f214f1b8273c2175e2d44ca270c4ecdc2182953a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0940d86fd89c6763a08681c293d6e6077425118278362ff4c2b0bef377ef027.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c09c89d975b743eefb65baefc7f848dfae7f5397117d85800809b64805158de1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0a69e3c6866ca6c61975c88746572a45832fa85006c18c3f3cffd43fbd6018d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0a845461546c21756cf848375bf543a3a56a2d8fb8e9b5a62d92edaf30660cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0ad2b08eebde36bb1b3d437e874cd563efd666cd37416d0b78a8bb6416eff6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0ad5e82c8b5a220865ee0dc6021955b8080fc8ae44d7d143290110ebb81ae7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0b15464e5dbb3ce7bd85b7cf7b98e3c03f61f4bb593d1c6b192dd12bb6045f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0bcdf596cdc086a15f4fe9c61a853b5969e5bab2d8838f6503de6617eb33f35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0bfb8041035f826524cdd37a535a7e5ff7d27d5a4fa29be6b10e79ef74d7eca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0d9de4e64ec0961d0ea11a0e379524217dd46d590ca08ccbc60369031f82865.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0ed288c83309a0f4d3493e682661b914cbf463ae272f60d52beb01dc5bc7c57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0f381073f490c313778ce49ed3a4f06ccb599a871e91233cc6cda92c7e97e29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0ff3c7c3e029984e7fe9693ed6c9f3bde985506bd14098fd0ecdd1f9db0e93b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c0ffc3a0ca70ac4726ad66ca24c069244396d7c03a633ea93731cd9185bd8b67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c100b6c5637892a404879a55c638ec5ce9a49af2638f3f22049f5830e088858f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c108bc529cc4e8cdfab47a565c47b297bb7672dd92db80b7147994c196844aa4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c10b54812b1ffce68419aaaeed60c270d4e7dc5cb53f6e5f2dc21d05dd7e98ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1188cd35990e755fd7ee05dff96b2a39cb91349fb5cfc226d4ebe591725662f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c11a6c21bf3e3957467bd118f7e5df0b82b467cac81aab0195d521afbf47ede1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c11f2d83310ba1cc2c4fb268bc9745b80491e46b9dfe3f850eae0e1c5ed48f0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1240a038bd811f1393b266ec7650de1dc0a803f9204ae07313bdd2f189e5052.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1242776a0e164232603d5a2bafb73032286908e89e3d3983e9359e53c6dd6fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c12a34fdb78c163d60b3eaf98ee9161d931cb45d294207cdb81aee1fa377810e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c12d3ef7f157dcdd3234f681aed3bd2974c87e8b30c5b0cc73af4d00d0732d0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c12f7d92ed5e1afb0ed48913cf177754801942cff5337e990188b6d8a1083d60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c13ada522693150922404683d1d1ed5cc42ae139faaf879988a1651ec723e70e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1480d4432a468ab7829168296847b85bfd7955af47c0f30f9ed51e7311eb946.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c14a7fdcd620e0b42e1b5e0963ea1302043fa69d9599e5254d8d5410e274087e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c151763abb0d10317d11c02e3ad16f47b1fc31ae00d7cc9bcb6ed509c77c3970.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1551a8775269c6b7c5729041215805580ea0360421b02be6b35845a587cf461.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1572a99b1536b7ef079c754c58dc433296fefaa9955a78095f7f6451c467ad9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1579a83defdeda6a3ad6b39391f8d014abed6dabd22794784efc41845c5d52d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c15cb3875c96f36802005ea50757d151130d159e8eef02f7203d46304a9a7c5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c15ef666da6bffbd9088fa25c835213fbb293435ea4afd4aced7d2b6e54a872f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c169186d17c58b48e4aba830de5ab90d79ee583d1e7ab5d0e0d7c8dd470cf0e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1760d930d895a4920283f29e18f5ded6968c47d29107ca660efc27d225b0fbf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c181476fbd6f95f911a023ad0bd1594b914a2415974e758eb1420f7dbaadaad6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c181a78d9ecf459b44375a3af5dc7d5a2d204c47e6bd9432113d5f28f6ae06e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c19604c5f278231aef23c0bd36e02258a31af9c81ea5eef23b223f2ad814976c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c19623bf0c941b1a76a6c8e725f648585ec6075d8c9846b54548ae24e23d3d0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1985f5d80d28d8b41b125500857fdf6a1f056f7c870b856c0b7a79fabcf85d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1a2167ce91cc55c347c63fe7950f1a103e5e124bfb2a9b66aae7309b6f6b5bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1a40c1455c21aa5dd5f0680d5704ad651231cbd1d9599e24a280a058a29e356.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1a69439b3602b9705ecfb237833fb44e1218590960a7543b38fbfd20b85498a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1a6efca5cf4b90da0b57877596124f3ca2e6fcdfff7e78e8a3570a329a52ce1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1a7218a9298864204cdd6cce74d6905df47644c893c6c78ea8655193c95c482.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1a775adfcf3471b19348cafc3e70a1dc216082af00857d66576c1cec39695a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1a8ed383f32a12604ec54a010a1a0422eb7629a1385bea97e9913528f48b6b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1aa9a4b9936c2bc6618b131fa9474f54862d06a5419a55adf1345fe96f295a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1ab692ef0c5f1c148c242abf6517ed80f631040295f3ebc8bacd88262fd32a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1b3068a24e448c91300625e2c0f99271afb4920fb8503bdd8f15c7020cc1d6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1c4e13f57535ae31183ad2bbd45ec8fb7f0973851bf16f32d7a39a859110541.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1c90ffd6a47e2220f12ef8fa6893d72f8a43147b9d643788912f2392f50acb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1d64bd9c33fdb4687c468e2a70415853dbab9056c1c9ccbb439549afce0cafa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1de1585a95f4096155901d7d260ce2ee166b37db6ee1a128b48fc8e8b67f31b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1def13182cf728c39ab8a3ce248465b7d2c03d26e0e3ad700f9f270666955a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1e2436a5caf1bdc584b97e3e3e5ea33a3f4e4baeee076f7147182f573160e01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1ef6599f4e580d7e35e5d282e30d3aaa5508138a930f6a7e6cc7fac0a660d1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1f74cf5efc5967fb38ccf8301d3b56979040b7492b3b194b40e6c72740ad1a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c1fe5290e483ce0a9f37736127c5eadcc9f39b668307b637d49f20db12efe1a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c208f694c1c23ae1f7ab7f8bc968467cb98e8c4694ca9b072988694b97afc7af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c20c219115d4eb0f1aa543a99ffd9b23c17728f998cc655b80498c1eccb8af09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c211da06234e1dc5eac9e7b693fcb308ebb40f215f8bfb24775d4a9e96f15680.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c215051b7bb1b60159c20a3bc95f67c66902f5cc148357e583114ce084077327.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c21f3c055ade11e2b0c60e829ce042f83e79647a16c7f8a0ce2c9c49de41f97d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2224850e6fadbfea77b1c59ab41b6506b859f65ebc3275200707245377d4489.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c22984651b11bc47548087f92a036a97ace4711003d299512ad0bd8b2238ec81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2309e312d4df49b4df52d063f158c4ca0d7c800c4aa0520b48f4de340e2057f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c233f33152756eebc59e19284b2c8d9a7af1de8e99c1aaefe2bb4e266d38ff05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c235c1f552f3d17d038420d4cac785af18a80225b5fd9e278e739180303d361f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c23c6b48a88a2d34b4b82e07672c77b70c4b5e8f79b7278a5aade67255a58cbf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c241fd0587e19734be9882d1258b6f2126859b4734c05481265b511afdfc8d6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c24386ba4185c40ae62f544df227a526cb8c9edd55167982deaa0bf4ab713b3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c24a2da45af84884fec2e3c1810278732c0e78d6d958bfcb78b5d4bc65021828.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c24b4b49fe799370743224be8f25f9ba2f8972ae2a2cba890b53cd9e99dfb1d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c263272469701b116af3bf0944774ad86f1c02c9f77b6844403f2e0a5703c455.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2650ff01ae5ff8f3fe330caca265705bd887d0c5de82fbca42c7ea5b513941c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c28c0329b1fb2a67dc4ecc8b5f751d18aefc38963bf80c43425727da90b9a6c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c293d5501c26a300de5322b194d330dbc6904f6fac167fbc353632d903ffb48a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c29e80746a96a7f0a674660856902b8e9493896268f493532cbe6366e6cda906.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2a6e8f5e12296fd2980b8004ef27033929a0448c510d5de344a51f13e37f21b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2a6eeb7856da42e9c67333068e51b54ee98e8531b0f7cb5bb67478bc9c10942.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2a77e2de765a61fb81553d35465456a87a75cb130732e310edff4628ef724ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2abcec10c5f4dfc5f8392542d86a8445e8a16585a62feee26bfc0064fe3eb18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2b4f646caf8ad0aeb5b7bb6e975b33686da47297daf67a3953f55bf55c459c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2b625c48fd9255fd7eba1944eff5fb2b89d3a68bb82f50c94adf4b955551215.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2c18a9a2e31e78aa3e59bb02f0610dce1fbdf6e31b0cc19542d0b9a97ab1985.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2c6843cbbca3298998157d8dd0a98d7aeca223444e3d45049669f704a40a2a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2ced6b7868437f30f15f3d2b7863b2a95e9b93f155f063633dd1ba5733d569f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2d2ff8d10cbd1c67897b0cba9d3616e41c6787c107751a460ff4de3612f755e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2de556dc1922133d1eacfa05ad1fbfe2d3a01f535fa86ab163c276e8d2e8f00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2e2a99bc5138556d687471ae4d981ea3139f7f97dfad5c52dd142d796ba09d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2e3b5b624bb8730b7e2ac8ce1c26c190350a9a220897e4760290c9a1302ed64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2e51e1c2d887291dea78b475f364f6090566eb314a398d0e3902efc2ca8da45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2e7253fe52f1aeb8420099d58d98a05c08f1e0ff380a0ce8628f027925f5bab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2e862793c65ccd2f1572c5013283eb45bbafc7724ee9fa8a69dbdbb73fe5534.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2ea35ee9c9f2348e48ad5a78d3b8a28b384950fa5c1d5858c5338fb4854675f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2fec5185a0d10e7f6537538cbb8086a5d591d0682c0dc94f8eddee4f7ab0375.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c2ffc87ce39eac821c588852e49c37a5026d1ad68d6f5c9d9960dc159e104d90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c303362776f183ba40d2ef8951251ac789d0214981a28136c610a5f2928478f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c304797405c9d3eb435798a41bcb93f309fe2e5fef321feea3adc3f140b09c1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c311fd0eec8fe19d9ff4fba8665886e7ca67d53ba7c77d548517cafe329b4f40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c31881efcbbd485c9e2263934b79805ccbe33889c1a613fddc7c026697457448.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c31999af5d93927714cb6f76ce03e5520d4256efc56e66ce79dce88b23262f40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c31bc6f1afa8953d1331e31ccab85ed2e30124f0b52187ed502e4eb9935e96e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c325484304bfa70f7d5949d32086a8465e1553411d13b30d58225bb475ecd200.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3282df393dcddd3e1514c328842984d85413528a72eeb368835221f7af4151c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c32fd641e09daedb0afb1c979131846cce4b70f8635ad1cca259649e96dbfbb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3329ab8d08d79b0ca093ad5a621f670a13a4d3a417dc6b747a025e9ee8772c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c33576f7f5a97ee2192b0568bdeeb82e0532539d9e6557dab73e2623100f3a70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c343054219ae696800ecbed60cb2509d6542e2f0a723d93bbee36419d967d6f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3455b3433c425df49f1fdbcb92344948edbd8f732e4470feb5b2df007b4a71a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c359f51691fc712ca9d390c6d26ee1949353a7c692fc1e5ddee099f4cfaa9ac4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c35ecd8ac20dbf42074048030da810971f3ab8d250c328af64ea65e69a5b5813.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c361571d8b77f27b3f700070076714f2acf7c0ed0579f7e806e86aa20c97faa4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c36164a1ca1b9e91d95c51ce7104bfb0c2620336855530af1d616c7600466e00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3636a4f4529cc0d79711071ec127d885875714fd2058fac5f005228f7fe5e92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c36a0ddc7e30530f6b8eba9c9a08facae8feae3006a3b24560e5fe4a09287c22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c36c74bf5d39e512fc0062cf0255326790bca00f4ec086a89602d00e4cff3965.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c380a13f281339f6b94bec84b0e6bd3713e5fef8002499c020ada3e48262ae34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c387f1ce0fb69fc14fdf709c1db63353f224f93387868b9aedadbfddb478633d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c38ac760fa67b9ec492db033cdad18c633f042a0d110acdaddbeb9cd46911ac6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c38cfc118d11e06b39a3cbec3aaac14a1a40562e689e4eb40b26a7bc5080b60c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c38d0e488d6fe947c71d1ab1e74850c740f3b76e868b013f0cfc07b5f9212953.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c38f2586637360715b859db68abfd67f94f3bd992a5e24cfcd4a1c81c93b21d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c391e0f5ced78d5e7acefa6f0d4603829203f64f204ba93f8bab566aba5d0b67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c392ad98058ab71bceea922ef1b85fe6aff3c4c0b517e4addfb29e997eb2f2cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c39a183103cc23c63d1a0233e692fc47683455e82afe2cbfc861708f14fd2c81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3a27d989ac02410a4d73345a49bd252f148d447cad0ad31ff3bb55f519087fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3b070ec138b88af976d117722a28cf50bbc6122ee7e753e281e9f357224f1cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3b1b8f9ca0e063ccb802d9c9ad2e0ceb37475046539b496df180ff51d9d854a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3b8ca02a4f7ccabf8fe68031a3fad13e25e98033e0d1e937403d35f4122d37f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3befea23f44ce1cbf5e1268a0467931f74119f527385b759234033e830cd2c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3c48b841e73bac9b18ef064d2d6f2c50eb595d8aba04162c7b2ce1ac0b6bea1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3cc605e5f43c3cfe95d0c040d883851c0a1dc8b410dc66d2967368f5ff2ff49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3ccc7c636593a4816588e86bd6286748ecfb49ae895e48b76a3ab8ee6998efb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3d2ae8d60a14666a8180a77064cd1f31846cd0f4d0101b23c2432d34291d071.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3d939fd751a964d3b39039d05905b55fa5782592ed9b6e5bda4947b7dd2ca5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3ded3d5ca67cf9c92b029aa422a32903de93af6d4e813e071e3b2025409866d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c3f09cad599367fd3680637bfb204c0c799635b2899046a823c17ab75a3d51c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c400136fb673e4e46c46d8ad3ffc2652af7f0a30bbd15faf76e0be85a7ff51b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c41535a166694ef10c696b8f6573ab27bd4073c281cb7020216f65962e7b088b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c416c13cbe9b9033770a79929facd1695a63bef10f5a75299e2599f6031ac259.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c41ee20a7674c5f8eb60573f3c32b3cfb5bc846a94f69ede5b5259f1db99b55a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c41fad2316d55f07f5ff06c67bae146a97b65edaf599b28b74c73cd4406832d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c41fcaab125d08a70911a65a8a07bbad18ba48d09e5f75e59705132b256ea948.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4354414fa73d1215c139d2dd78a4086a572c64a3f413a990d75f059714a2840.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c445834efedc6420628967ba6ce5ebeb469db42e260d8da254eb216e31047f61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4464a609db437756f1024be914037360a79a855ee20f26089496cee0b978dbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c44e16f8df66db6694dc0d63ed547a630366ba26133b5eced3b4bf33e0804533.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c45cd7e4fb1cdb15a59d37085c96c011665eda2c77712ebba41d2848bff36bdc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c46b839099d705d68eaa6cceaeda51af6a9ce53612b32ef4e67223dc7b843a79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c476d9662cac406264af168b21b4be376953f79574e34d1f03bbbcac59a5ec16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c481a71bc27cc876967b87e12d05037d25e0045d7c532033fbdb7d4a65986abb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c48da201615d3ae57c46c4db0071943afc933055a626616077429893529e2449.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4930878824243e3a22414e2507f6668c0dae027233d095576dc2a3165bdd830.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c49a822da93d7f61b17dc8f99ac88a8e114c961f682d767f3904883171c9e748.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c49b7b748a7cae596e53de3252a7fedf0cdd608e8dffd69a6e006553d01155f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4a0585225f26961f951018b92d359bdf8e771408df36792928fadb4dc05df50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4c511039faa516840e950049c94d65288ad19662504aaf8f1caef921915de3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4c7d8922e64ae11f50fc78218a6e397bc8c0fe9da6a2f9d2c9a0412d8bf4626.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4cd22c41c71854ceae0d665eb261c6c289ad3ad32a933ed624e14d4c1b98501.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4e2407e934f204ae40328920ca01bd8c738b07428397aa6f3883107e826948c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4e390f1b5d2a6c4402dc5a9a007722f95a4a2e58ff086436aa13539528124c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4e6cfc9bf31d9727c6c70280a35ad1542be160b5a1b10c7ace409f7f907587e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4e925f17cd50aed1278f0332d9c0af40a53980a1586ff65068fd1ea1e1f1c56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4e9f5ca259b02a48f4f7b82605485b7b533417d83b406e0aea05ed762e30434.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4eae58beaeddf7647dcebfa814f178cf44028dc17f246c8d4917629b0dbb138.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4eee0ae3a12f981b6994a8dbb10eb5816f596fdf7f4835392ea52eacb21d196.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c4f4f5c74c72157f57201568f03a403e014242ce53e795a821175b3620b57bd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c50a272f839b1495eb8df18ee089297b7d312ac2964487db004c71bd9260eadf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c50ce925603057a16bda9313b8019a4469dcf750649b2a268911607f16d23e4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5148cb61f73ae51646d9f01c624e485b03759c392a2dc8711781ab0a07dae0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c51681e6e6107fd78c5658f0507bf58f98bc0b90fafc2b3f0a1185a030ca9886.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5296020587734e43ba9c5906f83b6c3b7700166d75a76e6b3bc717d82ab33f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c52c33ad83abc1913bada03bfd96a1281f0a668431131730f818866a54294c40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c52fe7840beca6e3086d80269eb30e0518343fb46fe399fc965e451a40b7de7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c531a192c2166e819ce78a1a490faba0bd055fc3684ab2eea7509e53bc6a78e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5375eda8cf468591457bb431a493628d19745c724c5dd5ddf08aa00cea878e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c53985a4d530a14999672f6ab2eed406646d4e5d1e1ce960d41b119a35152a2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c53c6d057198bd681d306fd2b073c7e0e567bc82104ef5deebec29e06f0b4c4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c53d2981eee0be920714f09fbce758c132c8a356e51f4610b6397e6ecf739b14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c542e43164978f274108945350b00ac9fdedf64ea210ad96d18305b0181cf16b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c54ef27bd550d097ee64194d7e9e71f7e24f67970452fd1852b4f2490f874abc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5560c6d91e7d87d036851b03eb6dc703fb50fe6a5019031661cba87f760ebc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c56f37a6dce0bd688b9c829b1124fe061517a6865f62cfd862c255a22e55507b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c574f54852f8d3db15da111f0957520b5550961637cfa99d87f64005ff3919ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c57c23d7fa377f697281c4d1b9ab0cb6f51e8e66f19987381c8bfe1b9afbf3bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c58c326712547908e2b3b08abdce2aa2bc91f48be7d6152ed9ccc4b933ff09ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5b178d07d462534bc71075bae439a1b975899a53883758d1f1cb2f0f1682020.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5bc974ef56511c4792697596384d3ab7a58245adcebae0e117aa3f996ea325b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5c1cb69919ee00ee19ca0750370760eb07375f7aa6a464f50b5db5f0aa1a776.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5c2bef53e99939c5f75ee319bdeec3604e95cd81b6458184a7101d8838d28c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5cde9725f40b22d7bed95ebc137b6f8448a4f2a36b1e0d0e43ce7e7ae5ac537.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5d17e3909db69afcfc8e2c533537f9a014dfde8b4af598cbfc0230b2a0b1a54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5d199a68b71cba3d9260516c1d810947fd9ab6bbe22af27dcff975837ad44fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5e17a1199ef547be1a3b6518f97eee631a0a600e1e1339bd531562caaa47c5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5f3eac5db79234649452a8ccf7d1514f41584c261adb34198ddc9701205b095.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c5fb75afd5042eb5e28788412a8f67613bef37e8ce9df204e81607dd3d17ec0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6013b0d75e08c6c821e6265f7413eb4198acad9dde38775bc479f8cc5db3b18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c605eb6b7b34dab814ca95845d49cddcb72d57383cccbf369049c63a5645aa12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c60be933291377f6e06b6f45135f24e516a06b1089032eacfa6c7e105d708beb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c60da197044297d2369042650af89e8b9627ab2a76ca8b5c31f3df1f2a6f3dd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6116b65dd67ca4f3b351e6490482dce5ac2b40cff4c55f5dde95d7f3ca35f01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6183616479ed4f7e62ea73cbbc7aaf2990f5efa5ecc104f19903f84efcdeddb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c618c87d71b966b3e67b18f3d1be565e1471a94ad38b1b8f330f554443e4790e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c625efc1310f1d3fcdd95c16f0ea70d0e21216ace87094991fe606ea5ecb3433.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c629643dd3c52390e97b814e9a73bcf5fe12557512d5dd20bbe2b25999a31189.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c63499c91bbeab2af6cfae124905dd2d54a7afaa00c62d57925bc6e78fee7d3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c63583bd78e8756a1583d3ff83774724d04117393d5cbf3e2a752d273be8f000.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6389cef4e441ba74f054fcdc15fe5c9bcef1323f6f89cbf30990f87876a85ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c63c8ae15ac4c47e49d04418092a31796363cc070032cf4ed55fe193a226c708.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c63d439a3cd66059bfefb0ee2537223270c63f8f58bc1a2dbfbc0b725b896f5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c63dc432001823e8bcac4a031f5be6515103cf69d2afc84cf598d15bac75cea5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c643c8bafe1fd0d0d21a38088e5b7544840d11cac8bfe15ad5550485f38b05b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6440ef10437c23b5cb04f717b5f0df30788dace27de5b7837e50a9721facb43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c646ef8e5000f4ae1eb826de37a793df69f66b18c9af96ca0ca72658b051fcfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c64e6a024f8ab7aba5d3e053796d2037416f559c8797ff83b90e706a41ec4513.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c64ec43df77afe6df7a2ddae5cc7a3a5117da5753e2278b67c6a7406b619a78a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c64ed69899e5563a336fd8f8340ae721de5bdde9e7e00d42ec286814ba98bb27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6558094459c96c99115cedde24e5924b7a7c2965e0f0b9103489a29f0343e2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c657bdf18eb4779822f569539c3b0ba50755bec8e69d6b4b5e6c762072042987.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c65ab610bdba6320180520d6bf3cb62897afc1c3b3f652401e82e641fbb7ab6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6642d9a87b9ea39385407f472d272850df3e8feea46dc90b32b3c13190abb7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c66929a35abc2e071bb3d4d8c2d0a7f3d60f432acc7edd3428bd2bf79102d9ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c689a3e3b6dbadd658ce85cdbc23c7f3a57f8c9f42d0ae0f189ece81828e7d18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c68fc9c0b4fa98661fcc747f4a50f08798a2c4fac4c0e89c525009718629350b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6901d7164b75028c14c15349ab39f8f3f0378fb38e6cb902389e4c7841173ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6a0fd58c14bcca16e971ea6099c7d0b22b74d67acb2dbfc9a0ac01a2a78d114.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6a344de4e7c945da2f6e2966c1f90c6468e06784ee077bb1d21f83680f14713.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6a67c78b663a7ca8f10ecc6284569f73e4132ab16e4ea302628dcd952597b0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6af596ed32fcde2a65ffd9b88239f989032e09a2da083b8e66b508eeaa83989.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6af825939622e35d3157ec560bbd048ecad54c154c85fd4998cbe815d69c654.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6b008a86a74b6893a16c9bb7f78f4a83a2d3f908bf26708e42f933b507e45f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6b4a34a73ec9134b2215255afd3ec88bc3a8762f36fc7653b739c7e4c9cd7d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6c5dcf0ac8eb7a4b024152baa4a61048a8aff5f9b2dea6ff8eb48ac7bb31f54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6c6f5f223de57999861e50f123a88d9f7eb2460159ab121cd05cc50dc0f22e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6cb94bf893cdfbcc8f01bec6ff74c14daeaeeb05d6e88f0b0b99967b4d58d26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6cbfad3ea768a8ea069aebc0beb32c9be123e1a827fb7841741f9a25404d040.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6cd78a89e2e5b4ec96d2ba1738491b49d162677185ece75acb002931e0db817.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6cfcf316635fb9ba81505fa4b627bb51fd420d5c91c02f552fc44cca765ec84.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6db91a0de9c55f8b87ff5e1a2729ac2f2ba3f866434421da5205b9653acde64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6dc33f15daf335998101bb3d8b1bb83e1a6e1d01f4eac4f7e096bf30bec34f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6dc98eee37a417f70f1c95b4818c9617c2961074743ed2f0891c6cbd3c3a982.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6df74da1629d507626a31814821b301bf6d10b4e39a0b0f8bba2a80bd568b1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6e15b3e13f0816de96c6fa3ca074e586ff8c154d548ea38787e40cd0ea77ffb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6e2f442409d01df9b2b59e1a5bda0d78742c75a840eee85ab029622336c75c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6e34b0a4b39e477d32f6b09a32966ca846cafad35a666150db1204432c94180.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6e46a0d0cdc027ed0ae480d3958fc8598995491250a91c992bef014f339d0d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6eb68f8b34843f890772262d367d5cd84e764fd0e8f69e2a04f75b8b6317057.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6edc741559dcef4a019defdbdcccaa0c9b747a53f198078f383d3d1a3c90eea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6f48fbe4de45283ba9762f98b9683b14baef6dfe900928c8ae889889132d0a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6f8b43869aa0541fe18350da4f47f573c4c28550e6d484ffc28996d07a024ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6fb8ee86ff992691ecfe80a6e13a13d8c2225f4295072870367b1ff92b007e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c6fb9a703e102b061b9d61597ab8b37611e6d4d7783ee14b5120ddbabf706f70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c700167fc9436f37f24f09176d74e75583c06b811764dbfdb53a70d72273590b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7001a37ee8e64509db70d786befa5da3b26c9826fb1d0f5439c5ec5d9f2c474.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c70241b0ff1bf6aa413cb14c4fa94c9e5a3a44e56ba0ec5e3d3f31c9db30aad3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c703bc5c320cf28778787277e2dfd8a20465b1145d3209f3d9e16e1fc50125ba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c718d80ba7969ea0775d945933c7c71dd46b191568e9e4a1220782f48d205ea8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c729479a2ec2a44dfe3a13119575a9893557801775690dc17f6f4f42d4c8e7c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c729facddcd8db67235e49ccbecd314f3a7ec80140a5264a4ca70f5d76e04d8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c72b4a4e6713e26da499476e174e97dca16ab6d566c48b6ed9b5f24ba866d30a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c72dc35fdf79e6cf1b1e1afdd42a3006955d189ba0c0c990d4a9a74a880eaa15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c72f90bf251654a716feb6d828fddc26f9bb08a84aa1a038d090de58e5c65e64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c733561e2dccf5d455a0015194a27f2fcb18d8f0c94740d60b538cc85f7b6208.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c734c2f725e50fe9b70c6a0596253c6cf36f47b3f0877cecd0aa9d3c94d629e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c74f3889dc881afc661784b130b3d46633fe3ec6836499287abe0332ba874a4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c74f59a24a95aacdc3183a47756b127401344d0ecbf9ee37895fb7c1d7c88fa5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c75188c9c104214c777a986727bd3d133a443b0845f47cc0c31f0cac3da64bd5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c759dbae31abaf942a28b65a70c195963312a41bf5242a014fe443c184ba1575.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7776b5e3c8fad470ff8f1339b4454e6d303d48843c8b8223ea55bc3ef41bdf4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c78ad8612df995818d863e7e9579f9013ca1ddf87d4873740696e15704b70a8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7a8426200d2f8cb0c3650aba06cbb109cd703105fb00715e59610daf66a628a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7c5241b42d72b27a4eea74174bcf9aa77af34024dc5d4f34b5cafd6e619b000.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7c7872734f849149b6de46e72affcd554ac1eff2fce604cec924899e9fe3cb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7cc13e21eff309ddf21d7aff15c14dda1ece5cfec2f57c1705ea93f189b8bdf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7cf23e8a2124406b01fc3148e1dd59823dd69e7215cba9cbd3d1b4f1fa2f971.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7d7fd34cd858b3c5e4cb2967f2316a1f8b80caffa156cc59846a64c4ba2f1e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7db3877e58428bc305ab70b0c964a74a9a0ad9ccf10a9208c9504d5fe3270b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7e0eb1907cf49fd09469f3ff831a3112876bb71dedd80d19e67ced5af4991f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7e388731a9dcbb4d56484470dea88dcd84b72d4626337233790a75200c1d08b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7e710511d3067b5d58df44fa434b802caa8d16ab97792187660bcbc9b0cc590.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7ec879f09ea707d741f90b11fc2a1e187fb157325c62e1b914ef01f47c24704.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7f27eca2fd9c6acd09f1dfab65241fa105daa3563b2c471210095957bd53897.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7f378afef37bc873be0ba2ab9e6fc7a995ca3c31b1464753edb9e6c5da64fb3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c7f79e52633890e14793d603ae51c270edab941918f14263de78c1662b15ef14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c809d84f12aee03f60ca74f9e1a6553db5d2f4d9dab6867575fc6065260127aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c80f444a661ccf507b5d7cdb98bcae771dddc91503917a77d727e4bdf7f393c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c80fceff4536ba2bfd329fdf29c4381202dd5f5bf19da6d34d1001f2ff892947.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c81170beee655edca651ffe92a732d578b9a9aec73b5ea535f9124cb5916cafa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c82231440eb5655008081f5523b8ae7dd4600abff4a8c75b4e758099924d42e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c822a4673cb3e47943e981ad77f84fb5acfc7db89f55ffec7c04ec151a105b92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c830af476a3c951911ee655a4b1b38f123b32fd9d3c595276f4acf5aa03515bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c84d2ab343b4b3fcb5fd3379814a604f82081ce8698f6a64ada50781c6abb165.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c84f6f64cbb10c5a8cd0a0d3be4e9a72a0f26361d79c039d9d7c82e6fdeb1bda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c85e788dd02d3f1bb74f92785766d420dd3a2052abf775cc691a8b32f0549a7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8621368063180f66b4712c44181586d31bcf1b359fdc6eedbd1e41e5a5362d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8661a1e9b0d3a0c342ff1a35fcb7addd590f7848d6eda9efcb7c23816c8b61b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c86b5e314351f33ba8b9bd6258a31fd3eaedc95891c4366084222351ae8009fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8756d7c74d105d6c8e984d62a852d48352ed57a1e5febf453e618a7cc13b0ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c87dc4e29456cf7a80d898790ba022cb9acc5d85d2555ada77996fc31ac6378a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c87f9b20ba7c69b26c232733a53816f818328b69d322d994e67c491174d3621d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c88364712419918f20527eb715af7914d5d9f22dec5e8c617fe8f4cd30d56c16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c88407c4d6c235988236353a5ffb69cd70e06d7d2788f662a27357eabf8c1df8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c890183fd87afefc3d54d03495e6a22c02b3ca3fef979a31897f1b7e994ab295.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c890839c67eb5d9efb5f62147f31bf65c6f81f19be6fbd090ce66e68ae485191.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c89c22a25b11a5e5d4414012cf51ea9193dfcc1076c37faa1a5c09933e38e61d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c89e5ac341bf656638637e9fb4d3318294a416465e1298dfb961e2e38933cf0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8a2563a4146e6920c468bd9a5fd8a8d256e57a5e2acf64cf142882ce81c7eb9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8a2a160eec00929bde4a7d9323e9986d761a8e8463082a52b2c2e219b381c5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8a5320be7f4a1d4b7bf8ab4b636b2e7a4af6deaadf13c57066541385d4114ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8b16cf3daa7d7ace4b2dcc6200f2771ef2afedc0753440186aff3bc238a31b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8b3a755ecb74682eda3dd5aef48d1e62742cbfec0cfe9fc274000f8a113dda9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8bdf9013f09236e0a536ac98fac06d51f6d3489a91d483befc15675c3da8e11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8ca97caf722711155979c84ca5ab6f7dd3a7b32ed3c8358eb2624cd5f965d00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8cbabe1008d090eb3f0dedc0ecb32c8333e7b2ed386f0086b2418c486eb3a34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8d41578f52cbe16e85b96bd007e6a7736dc8b3b5b0ea08f36908998d4107c1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8df46f4bc5fc238282ef912a1e5a445e4e0bcaed3c1253072ca020545bcaf28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8e1ad01e0b4009145a85fcfce63a03b6eb6855897bf27efee2fecde0219a4b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8e512f8cafcfad8333f9b28f0796ae13dc9e72dc84f893f80301706cc371a73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8f253f95b3ac85905360997f64852e0ed4a437498c881ad00889526f58e93ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8f44f03cfee7340fb5e268a43cdff342a8b4a6411c39f7ed5b296f1b27280d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8f5b706bf34178bece181f2d4d4e8b4eb19dd8259185ab422bc41fa2b5894b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8f9008bc6943ffe8d7ef711eecd8382fb01544f302e3a81d91a11556c8b82d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8f973953919e6e316455b7486fe7347f71ae55cc4a50befe2a333eab5e133f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8fa7f6f4a340dd22f5a213ce135412c400c95197ceb575bd761ff0aec7fa0e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8faabd1d43ba7a51b6a41506886434627741f4fe60c158c09b698bcf1e074f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8fc8b2b375a10657eadcfb73e64af7ccf3d67713456401b61270c8e14d3f880.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c8fd27a95a04a8fad046ec684b1d35a725a10fdf263891c10d16800ddd358b18.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c900787e0831e30070d733d2a8cb07f9c925a05bb01eaa78c9047270a1ac46e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c90543a4707b941c494eb55c9ed9f91df78ffb8c35fece35e5c7a36e10f083cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c908e3b18026b1507e9a2bbf36144c040d9f8b12282ada978264af3eea129b4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c90f567a6222e42cf7d788c08fab6c477b887c5fca43562c516beea76df92e2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c91a438bf6550e3c5b7c07c1adae70b12c68ebf62222a8bf2f0ec730ff644384.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9268974001affff5404e356097b006a78a4ea9befa40e1fa9404d8afaf7e066.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c92a63a8ed963c37733557a6dbb4b5e59f30343b2620c0b5119533b9ffda97c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c92a845af19ee8836746584e51a3b582579c9528c5dc777469bcb68a6ee20c7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c93a00491b0e41327be97b84631ac4d1fd54c04b54cf56174ed4d12281677007.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9421aa3ec4e663a7172e6a6006ec941ebad54abed73f08173e35140731567a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9482c863ab2375a714401bdeee15f9fd3c7c14e488384c88d031c0dd8e97448.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c952a44776619a8badd4668c5d98d99accc6d69f46e324f2f9b892b2db7761f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c959a2fabf354ecbb716505c137a3ba5971cddc2033582a4f58d33f82b81653b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c95a0345f732425c161b62118062c77d80984e659ccda48c967bc3880dc4a36a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c96812c00d688b0147fae90813af25f72cc9335cc3bd7f8b10ce9b47b808854c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9774252923c860c1a9b050ddf6a586a0a63489b2a80dff8b67733739c82f2c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c983f2fc66da3ce57c6185f504c9328fb31d3b32a5af5395386c43b1881b51ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c98971928e8386db7c448f1f73463cfcbd229b8edab0b5d96a1f8fc6d4e699dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c98b78a12c3dc8f5cdb7640c18a5a9e5b23b046e456d4b0a4714b8b816dc200e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c98d6a33353b3338311d21a475a566cb260c739adc1e82e5acfbfd267c64fa94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c98d89072d73c7b53067e4ebe08b03948654115819c612acb187909a7d4d672c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c98e2b3b5189875c099416180ba0d90804f7d49cabc3d77dc11e6fc87b6eddad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9b880c7aa41b73d932e94ceeae0dbd089d02e1a06a8d9004e401d1a63dda7b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9ba20ba520ce76c6b2be6bd471d4a3a118e5d7e762862f22fbf958101e4edb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9c401ce2a0add16e9cd0e9aacf0c90c488fd3d50261a8b40b99a7880bb813af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9c6d018a57f00ff6b1b8aa3a7ed85c524f8307fa13f90d094348aa0340c24a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9d43f734805e719002ceed3543909e4f7e03e33c39b69f7560523c35428c41c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9de104cf12f0e0293bbff8a426cf30e615ad52000a5c7a7f9489554d41488c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9de76f5d68efea02322ebcd38cafda4f7badc751c75c35f801f48ed5799e93e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9dfb3fb6aa578c0147747a34a5e2442164574ede357bdc8dfb85089313d35c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9dfdcf4ca83bf71f57ef6a2dc2b168463e60823a01165a249e4c8b151180fb4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9e13077c03540e79f7e7d8dae0e04c80d684b15e2e73a624a6c522749649123.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9e1b818acca9cf1102d37d5524e3d3d9f86c07803c663ef3a1be9724848c636.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9e4a7cab44659ecff3bf55f345c4616923a3d08ef34f81252278f916349af7d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9e663ba7d7521890b3b7d54ba1943a97a2951ade7042f3fc96b108897f3c731.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9f24b43a4e4ddea6f13f9ae3a2f77ff28ad064f49ef03a5310576b9e8f41948.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9f3b29b940dd3c4fc1d10a2b6a62a10072d704c97577472ef4b107c1a49bd81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9fb826f31e7e23c98dc2688dd694f0050b2dcd55d917d0dcf81e2fb855597e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/c9fdce5b4a8f652827d2aafb9184e2e6b66e21f149a7e613bbd6778a85aaf8e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca10818ba77f94477f56c28d92b296e7875cbab3fc81f311bb8534c3671d402f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca1fee0ce06785975bca6e8955dec50672426430178d3b20e3f20bea97f8a7c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca2ac922463ab786dafc6acd7f0f5ff575a0df93ce9f61f470559b38e01e0f19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca2b7461bef2528f4da81b132811eff1805985de08da6775d9a72856542e4386.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca307a725d3e343987384c33ab65d6639c0d8b0c4b3a8846e0bf4d6a4d56c0a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca360d0ee1e849258a68e8c6829388172260f01450d79c5c8daaebccdfb98269.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca3872c5d04e888b4f89d12e2790f10d71bb98a4f0c519dcc57953e5f174ede7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca3ad91437eaf5b8a92b5d29f1a49c0eaef85ca34c7898d02474551fe3d4c08a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca3dab256e47f4b2b152e998988d139fd4e6ca699258aee0b86d85a76367ec86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca408a1c467a9a2d132ea230d365534ee599ccc20b4c9de68fd069b27ec1adc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca41fa30c1441537dc591c5f014726fe065aca2c485b14a045891bdc8b0c23f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca43a09b7ae4b321855027f8e20e6331142e560ac7617363d9ac63dbd3e90039.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca44519f007c65e0e903bfff385544236ff3f9c4ecd2d8dbc9767a58f146884f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca456b75eeb8a598359f6a6452356bb22c1792f28b42de3144430eb4d8efa5cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca49ebe4eae120f0a6743cdc8d8ca9810f277e465a8ac00a7a41f43325c45749.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca501973aa11145a25bbc016f93e4826689be2d4fcf1c25d6d918e408082ebc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca56770ea5405c69567687148c48e37b08dee73511716e33c4790afee7a1c964.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca5e2def063f74a63f5dd48483049756de45ef6e27b38329482a6885217c8c75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca7330457cbaa24ef1b57a32dd82c3e6547bd45a428199968d0725851b338a73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca764d581edf32560cab9d2875c9ad3d108c1f2de6afa1a8e17ccd87e5440949.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca78a9dda840d6a9c7e9e2ceb95d7f22d5e357dec1652fe6495cf14535d0de5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca7f9626d2006601b8239f3c5b504bfbdc8348559fd8d133f3d210e5c64794a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca87560e1087ef21454ad29e62040ebd80554138351043dbb9378ae8173a42f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca89f192499603cc82d8a94026dac32a5dd926b53fdeb344d9c22423df279af8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca8a197e9ba62f89c43e8c68da604f109ca4cfe7f82432d3a65635e759ac12f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca8d94fd48addd967d5ad1d58e06dbac3bc5f9733d6068ca1914008d5097553b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca8db9c032e6bd587877f65df41ce50a76a454998fecc61076c598b041121d55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca9ad2bce3dea66c953ea115b2ea8a3f2b99cf76ffe773a35fab64a42715a2f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ca9be3b72ea6bbfa00b3b050bcfab4314f957c5fc4352a4595afd0b3740c5917.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/caac2fa9dde09b75b1bd5610bfb1cba8254d8fd2aa320705a42ce67450d663d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/caaf9e0823cc3ca496e8dbf9289cee852ae9f7c843fc8278046ee73d4bd343f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cabebb20123949a2842f464a215e4237fbd142d388548b5425949c022951a25b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cacae93b6e73ad709a57400dec0aaeac3821791563819b8fa10d0c69122448c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cacdd826f9f9a8e85862969e6a6b856cf9475d8ee3f79f1061c6004c2ca6bbc1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cad057d7a90ce82ad2670e69755facc2f9445b0263df38855fd8c968cb0394aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cae85e168be67d3edef88bd078430f8a99c2fe9e7b85d733955a989bd3e55fde.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/caf2f35238d1e3de6e3619ffb4163adb8f29921b885d22b7467272eef5ce13d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/caf60335ef121b95df618dba6724c30991163f32acaf6a329eba148684ff4799.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb06912475ec9c3e1eaf15a9c3b0422a49e8a31cf5465049e583ab7ae7463e99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb0dc9a4c52ef9de963453a151d1245bf55c489fb60e62288f4de39fd0750c0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb13e24394dfb3ae3f626b608ce7b4cb82932c968411470a1e8a0cdc0cb53257.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb18ceef6a04a83e8079b12eeecfcac7e8ec96fd8d4b93a6076678b8afd7250e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb1a5738007388c900568d7b1baf5981ad82fc27bee6ee39f35151d252ecb0dd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb29edc7cb3d5b1ae435fc8a0720a57b7dd8066e16764aa5709d5ea0b0761f9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb424d4d2309bf32ba239a538dfe51f32ba8a077dfd4721e73a7f09ef3c08c33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb497c883b2d9ce37d3039af29575d1bd2b6511bd1f2cc9d6ce258c775ecec31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb502db4fa2734ca5d157d10931ef1af72864351240bf5a1821ad2c2e9c03720.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb51c1ac4fd20f1030f0125fbf9181e734c684a6819648fe9aecbdcefd2b1cb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb5f980ffc359ef1a9e751da68df167ad91ddc63c85d671dcbd800b3179188cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb65459a2c2dc789df9c1dd2d6870485a3bb0a80cc3f9cae1c0a0d95ce9b4399.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb6985a23d8e86b346f5fedfec3f6081a22ca2dfa891d6675b5e45cc8f40d14e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb74629bf1b80d024b2963e0e138214ebe223bbd8915ae4185879429b947562f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb8208fdd1dc6c6a82ea243f5d64ed88f9680c2b9af9868335659b277408f7fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb8a421edd32a5c3c3d8a5fe9abac83b795ddaa0d1b672c3fe7aa14fdce2a10b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb9286ebdaf4fd288456e57e853a4479dc2c607f01d787f425bc4882ae21915c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cb9375a3d68d5f0a01415dea2acffeb121c8d978862dd54cb657ffc2c489b8b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbb25e844963dd4074ddea8f1438759ff492808ddd488fa9e9468cc6392f93d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbcc8a7a222ae5b7ff828f08a989d3c23caa831be88fc56bfa1666ef4bebdde2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbd3b116a4dbb28b0d5fc19bf3309b5515ca2edc0541a776d3a82d9fc10cc62d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbd48645b4a4bb1555eeb2565e133a5901ade64fafbdb459ed984ee4e48592e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbd5aed56f176ecf38b4143982bc98bf2478c9e8f5d1e4c305c96b7a7d2db9d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbda44bd826d6e4bdab46bc2edf71f65839e9440d4a44e734d8bb37886130a9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbdb7cb54ce05a8703624a390894c584efb1e4b8bc92fa9bbdb63bf4dfac5179.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbdc04af528979e5792c2e5032a0e778c36a13e29e8e79cf941de35d9b3a6dd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbddd2660c461bd5d8b4338af91938070f47c4cb7b68471fcf4cbcb3af833530.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbe1afda59709be7c04e936eba111068e68572d43b93eaa97872c3b7a7689e43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbe43e431713d7792b7edb7a41ace99e2f418e80272e8a2b7b4cd65429910ab6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbe4b8c415ad2898d49f21f39dc4b753debe853ffdb2528d984f6dc3c5a1ebf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbf309c77e9d4f2408ff0d592ad7ea30a19d9fb1683b8f3eb1bed450f6beb58e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cbfa37f10b11f0c2a262cb0d1d59aa1cd34efb04c3c4854196930abc53fb4245.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc084563a2aca785aa1e90d2ca3576d8813eadc0394d1193d1680400431d32e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc0bbd71e2b99720fe05bcdddbfdda25dacbe0dfa4c5f6ba4f44c5b7de119b10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc0c5a18661b2e0a44a700ddad73f6bcba0c92a4a3b9622708399da133653938.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc0f63d697f0692fcd378e79f7ce9e68d0b4436b960f4c1440dc1f9f041baea7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc2587e1d23fdb637fb77796a11448e2e6ba1d2560ccdba96c2715961d90e0f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc2aea916010ce0f65bc3e404d54b83d7e327b7a016e46d63d13092fbf67b353.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc34d3a9ced5682b4a68c6ad1ae5cc1e302c07a63eb9fb70acb05d00e7e78074.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc356f543a6ce617f85ee37c1d1cd6f55ab038267a4b3619819ed576d4988f08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc3a35eafe701963e7d007dd5346311975a7b39cbd4c32b0cb4c9afd6199d691.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc3a5a878d556bdbdeb5635c2c3b00e2873a830a1aa9368a3b5b80938ba767aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc3cc7e1ce75f9f818a7f40f4d8c88b4917891f11abdab7e0a08402cc312bff8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc3d4197836120a4e05351e3a27a5651e7ec1787d38b42360cc0e5b7c41af390.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc501e487570d673e6f8a8589b93952e9a5d5be71abb151bef6dfe22e3afbccd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc521fad1b5271de1e99f6d9dedb4b07d2d7c4cdf9c52c1f81fb6d34203f86ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc5384fcacfae511b592e9cfc17cbb49e9f3faad9aebf958721737f3bcde5b7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc5e20b3ff1216e5e23263cc5c9b3ba1ad25cf892b0f257eb774db1c22f0808b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc6c4f3bd3548cb0c255948c692467a8b279c1003b9426d9fded31887a092143.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc7b1dc8876d561b651a5abfd9c7987de56ec867431a3d4568a00f5ee9387ccb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc7d0006c67ee7f92abcbd25448a0d654aa809cc4e0129a92bddc13c6821a15b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc83df390a2ed0499f3b1b9e30f334dbb375cd87cd74a0094680e8bf312468cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc8e92e9501a2dbfd102006dc7a4a41e291ccd5e861ae22d57752d96e9c6da28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc908db6081b5b2006453b2d07796d4ed7deb4c3160562aca7a1660dead3f7ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc967d42afc9945cd1388230b864bff2799536d32739eb511da1f0c3a9b6c056.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc98c0e28051a9591a62a65feeb5598f3ec032283c841f0e94a009da22f1ab25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cc9c2895e936f5127cc3ecdd40acdaea9a0f5923758b2984e13d5a713209ab15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ccb9924718c51a470da5f0cb50ad448dc2a2c16fcb1ac018e82c506e1f99af58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ccc7e614b553b2e19cf36144aee3294cb09a9f67804e4217b38034727ffab9ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ccd42784328a4fa4712206305e98da1e1985b62baaac3e8f004b22b7ecdf231c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ccd5ed60938542bc567219c4d7207db847306dc95da0440590b6ffc76f620ace.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cce1b2fc37df1282f5d8cb171c0f9375226df644ace6f755e6c51fbea2d52b38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cceb8b2e7b215ce57ce5f8c412b8d80497e705e1133df2526e682162b86c3994.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ccf7ce022f3fda9e37802a81e8ed9921b56a41e6ac31da5d8364509bacd7d8e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ccf83d1d428917eef61400bbe3e5f0131e8257b7ba96db3e5a5f31ad6501a3f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd16e865a98001e14d55daaccfde408a3681899a7b0c574af96957a661086ee2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd1c48e8a93580a2107eec966fe687160b6ec19ae2aff82dbe1e944a974c400e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd2867f8ddd3b4f5e1110875654fa06a9c1efd0d102af4ccb8bc33746bb00b6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd2a89c17293918c60fcd5158ee68d74db5e86187bc69eb0cf9451e448075b0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd2ed6f8e08d3a9f3573c752c3f06f7042d4fcc6af60eb0bf5bfe265efffc7a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd3f3ec49ad014e4f0e75c7b4019b1a4e4bc457fd8e21e0677522df6c415d75c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd3ff33cf85983fb4f8df2c76014ebec732ab8d420a7202a59df0c2acec82105.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd4938b25ca75fdd0f6d994e6f78331a72e9e6195a3adf876d876b549d4af505.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd4a42d9d70e168324e47fa6c0c029b93fe18f2de549b669a98422cd040a769c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd53ba2dd357d91c7ab127b45d465e3241bfd6afc9d1a0e807a1b49ee1648b63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd5447fdb12575c0f1d0f35eb88b2bee66aae8a3eac9dedd4ff5607e6c0f87fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd55627b431dba3cd19848a3f1c7499ea2fe311d9466fc05d518402e586d4af6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd580134bea7dd5d63fe92f74c1995297ca385a48d168d95e5bf006d447b2b10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd5b05bc6b566867e8319883dd7e120aaa3d2706b4202dbd44dc488f46c4def2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd5eb75487c7daae2037cbea569dbf68979836774a6e73ca534b1d9c6747769f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd5edaaae01acc868ff11350de9e334c8d46e299fe392b13250b83c4a62f98f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd5f0dd26c8b23ad2cdc11b9f1dbf7fcff8be99fe4af5a6634defa9c71cc59d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd6716a7b4b2e09da5c6bd7ccc1458e5b57a1098b61793202e637ec33a29d7cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd694f12f0242cc69afdad4721acd31f220fc0b2541a1f793cd3bb1313e272fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd6a7d9a11b44e2f2cefbdf25e6c5618251d4249f3e7a3381856e3240637ee7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd6d986515165ed55076f0d30614228627d05a1aed4c74cfa2b1db1a1bc1ead7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd76a62c8d2cd0984b113f30169bec1865ca5568388be0d332c6d96224907e68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd788c363b75094f99af71b88aa3b3a42849a27422305a5a207b1f9e40ff1ba4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd811d504199e7329d3b433a02c34a00f9a65350fcf717bafa2a246642d1f6c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd9434e70bfc5e8836186410556ba62ee06eb856478ea5cff0fbfca6135125ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cd9683f6d47dc71ffd0e085ff10c29bf4082aaada697ed60f280b6af644f5e2c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cda682201aa0cd8795f497fffce4f9e5bc385cdb8408f5ea9f784dce1bb4fcf1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdb22d2136dbb843c551e87cadb8db3c6c2c19d26b1eb4eb7f3cd030bc35e9c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdb6303d4a3877ca73e552f8e204aab8797540fe4402347b080af9b67d074c2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdb6c6981a4b7db2c738d7a71652803859d2f0e830d8427782075e4de103638d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdc15bdf90ebf54adf054032a43cb051940b7c9e5e90f296962e6b43e537c9b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdc735ffa7999ed60c61dee70514f26566f3b1bbde7598936dca3b7defcffb50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdcbd50e2e73e5663ac73503bc8939a6e5620796b1f2780d0dcdc5c8c82a28d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdcd46744e9cb216b82628628d0663afef1976a77fd5e06af696ddcd0b71e397.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cde60c90459af96baf346f6a6ee1bff905fdc894087b4b81af1cb0db8fb68e9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cde7b87cd8ba872bebb3d4fe1f349404fae73f800d8f121430adb3902ce7e14e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdef92e91d50c00fbbf69b1f3cd16e7219319697773ee96265a32db781de1615.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdf12b4d2ee175d47f8b13aff195c83bc8ac4d49938db030c343561563e1e79d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdf26afa30fad1cb7de2dc8d1fe47b6f542a80032a30cf58d423fb9b251644cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdf5a1740f62db4f2bd100e0f7371e2f211f69f840b94b0f7c9307f802bbfb7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdf791bc194acab8208913c9ca6401a0ea89e1e2fa1456e59f7d11c990f4007c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdf7f828eacbab253ea3a73821415ec973a312e30222343dc34b1dde9db1ea99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdfbb5116cc0dc4331c34383432bea65428ba272faa400a2587dbb90f83c2b30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cdfc154615c9bcd9531249db28f25f724fd6abb2e795f3dd6399a3f7be2d6c37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce026866897af1f1c7ff97e5c141cc274305e2c7c108f47b63066774322d38cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce0aff87c9d4403cb9ddf2d4cd669e1f385b62ed91386af693f2fd419df65d92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce1131ad77afc504af2cba4075780c1948eb2617506688485666f067dc6901f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce15232e378256939bdeacda7662a83258b718c3f68db2e2921bee1fcb557c4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce163f3e586b15407682368ee90f516cd6b8aa0d2c1b760f76cfd4195298f2ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce16446109e84d30bd18ce70ee6a9f4e2077a14defc3c39f198ffcdd8bef13dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce18a7cc2b6d3a98b24312ed978ba13d2ddb30c56153eff4090812cfe6fe93c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce1a33ed16e93b1e8ad12e5fe3686e49cae67fcd962253b59b8d0dc4236e0bb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce1d7c9645e12acdd739a3b6d3a1ff210eec110bb1348358e07276f5da8d36c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce1dc9b8740852758d2541a30bea603e19142205ed2b99ecf637f0c5aa1fc7bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce2f54d29c8ade387a972fad955e43b28c7558cf8472d144345027d031103073.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce32a6ae94d25d8748d1d145fa28abe5c20a76598aeee8dcb51d417002be3a21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce37485624bd341a3ed6fc23ce9515f82d145a5a016a23c708c2a26bdb508bc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce3a616740fe7f805454e68721f345a14293d7ae96d67ccf6c09e8be5fadf798.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce42af05a9f273000236adcc25436d1cefe70cf68c6bafcfc4aa65391169e4d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce54f70bef598b6d404a3537abea3d719b1546adcfe48345c8f856b8a1075d92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce6420fa150e667d21cf9ddf3fd6ba00e7e9720693b9d77e8b437ae025189f90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce684c22b317dbd224893024ad760e8c1897e962184dd7d9ee236ac3f8897b33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce7039ce60db0bd4628ddea601485c1bf7f4a7ddd12567a3b94480018584c5b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce757e424801c4351e2b4ce88c04de18b0f3d60850065b53b454259c3ee0f78c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce8147f5cd39097a5c861200d66201f57f526db0944deed1195c1420ffb38ff5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce818fac6268199d3d46783957155ecf2f0960d44c652ec9799d205fe7271565.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce88fe785f8950d19a923f317703c474022ae686a496969e92d8a6b5e4e769bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce8a15ff9208c22afa3cd568107094bc898dd1da8a0639ce07c00e9bc07357c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce8a6f846cb303340b367cd75a2515883245b22081ee6d46d9e94bfc56969191.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce8b000bd0c922d1269fae4fb8b94aa09e625f308e1a5f23e8e036acee9a47d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce97039abbd44e174ed83174c6ec790b812761f616e421dc68f4fd8c251d582d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce9ae90a1d2206a114ceb2297fe87d321a33f254564d8a327d8d0d77f6742782.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ce9b2e66b73d79af9fc88200cb0d721f680512fe1b7afbe5e4812d59b988cc6f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cea2cd0864fdb73c774a18a4579f2ab9c4299bcb36b74b0d3f4f2009f4b058af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ceb364eec86dc3ad7848ba53239007e638b297d641a3b830cff4d44b84814b22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ceb6bac33c77024fdeb5307878ae46a404e497c09bf6a120dbd05a8c1bf9ab13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cebabe17c8e20a2107d8219a487bff342181184ccc4d22fb3b264a73f54a6466.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cebcf4caeb73e8659dc5a6812d44eeba0b0c8adcef1470f84882ecfc8fa8bb3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cec8aa0376b3853014081eccfb17da8f69b7f5219ad16a2f9cc5d5d52be14d88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ced76686dd99c6f7255d3762da017ee080c4b49904cd27f1cb98aa0205868353.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ced8018c4196c2d1610af58ae27c4e12d3964753203569359844ee9cd3b87b48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ceda9a7c24987a00bbaecae0a75de5f08362838cc035aba222422972de5672a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cedd476dded257cc673f68e8122548968a42a553b19958d7cef2fb33d0bd158b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cee19a8d99fa5f46654f556cfb29a7a429f50b53c8fb0f60ca62065669474059.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cee8ce14ef29505bebcec7a3688acb712b5398f99f20c656fd05d52fe9df6c7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ceec01cb09f5ce2612776c112d5fb1e0ed4c37506c7498ca2b1b164fc61e1fea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cef2bae3bf195c3e54ea9ec10fba98e03f3d87fa5f12ba99e70df294af038bc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cef35eadb57f74d30525af335f001b351804c40dee9522a23f80da21b2f159f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cefa93570a2e42e949a10c61c84e152a9e60694d3aae2027eed8f0a64a3e989c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cefe7c8c8c5272cde04a0748ad8ce38a7cff1b2d2cb48d7b75664e558862f06f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf0085a1a9aeeadbd8e28eb257206069d02ff3f5290ed0f8aa06691e40febf11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf08d4be089378545a7875038bf1432912a01760fbe9e7e7c93846c10ca2de2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf0a1e191f74ebec49a000797f484201dd0e85cda29ce4614f09fcc75e091b3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf0b3e54f7a4c2c01b3bf28ae2d73a51a826c1b12eb73ccd48936d45e5e887ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf130b456183f4aa4610bce36353d455aaeaf19c6bda744daa4cc5e0981881a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf2584c139bc2bcf49549b545b2ddb978ded3bae9599e456048c96442a62faf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf2e9a04e8f3166a66422988a3aadd7f054abd9a8a30eee9c646f483b6dc7f8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf35acd9a89ba107362a9ca9962bb64cc57eca48179a489af6e79d7b61ed9e2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf3e3ba0c23d6a6dd9ddef540f36089ca905d0ee3b121aac468596a9361c19e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf4483b50cfabf6c93bde47862927ebdf97b195aa1d0e2aa5355cd7bacb10e3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf4bb69d8d339cb549d7c4f7bff855c97944858d4abef472635f15c62f12b173.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf5421e3ce816c52d11b56ab45223b7333215e9902eb1f6df20c12e864f56187.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf5e1018d4f9890d1a109973ed63997c5a3b91c451dbe2d08c3bdd230bf593cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf6a8d62a2cc1c5247eb4c156730a221294b2cf442e9627f7eb05f8c7beb8a6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf723e5c4cc60606b7d7269c269c67a66d69a2e0a8fac8d6808f233396f799cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cf995c035727ca88245ac4e52ca8b1878ce9a22f2f1b8bdcaf3f53991fd3b6e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfaa59a32ace48ea34d45be56a22c4059fd0f72e4b6a78308c3047c01247b494.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfb3aaab3bbd39feb7a01b5181991c194e8e048b022fa71918ec8971f50245ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfbb05a05e3665b0984d202f217f56368513a02e94e4818a39729821d86c5ad3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfc09f31e3466b56ec43213e376b894991ae731f4fc05d7238db1f9cba85f01b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfc11ecd16e09c6fd03dd257b6ebce25131662dd218edc3a568a38a1ef40cc57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfc2e82aa9c80080dc99678052ae5015c07660ada10364283fefae11bb511454.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfc3d0da8ab0ccd246802c94ad52bdb765f45d3a2589f6c776d733d03de8efc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfdcd143e49c09230260ea316c86ad40d3787812b0eadae23b262ddc8b005746.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfdf730c658acbda11d2d74d9507f6510cf5f37234c4850042a3808a369750d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfe16bf4a2b19edb0170d22152edc75c699ad5a6a3e07979c7dd09682a39058c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfeb73b6dbdc921126c0b0cf0d0d75618afe27b03e368e559c8d5db7f9505a33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cfec170fba87acc6cd4935d59261362f2046ce71c05395e73f1e167f54ec51ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cff400112520f2fde273967cfd19631f81282ba247a925a0b4cdeb1b8fcc17a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cffa0c6ad63469e6318725ae737403c0a04d9ce580eb363adbea79f696e737ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cffbe9742a6395914c1a7910914f697ca840871c224c9973471d2d25702fe536.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/cffd013807280a953e3587e665d46aab4f9e0e51fdbb8222d6c7516ac5370278.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d00730d3d760f1207d372a4c5e5601064f77181a239c65d1eb542fdb3a36ac9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d00d62d6bc14c37d0be8fc808a33d57cc25580162f77580914e102369fda61a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d012e1a779b446c6d10e86f937444d24b5dca580be649305eb639c8cd93a1646.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d01e60026c04bd0287943d2a4681fda4e486c8e2cc0237b2503548224f36dbc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0248b3545bd9e838c11a8e363f5c10f4c770af5147b87dfdb3849343a2237ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d026b82e01f1917eef3244f93fd631005037d2c5ae8971b3cb3a44d8d878235f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d029db74fe84214c6823578f54ece82cec4053a11b99ea6cc89bf1969c023c8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d02bd9cc10d35ab422364f2552006694fb790908b93a83c02f58d17ac07c9f45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d039469d422fd197e87164e858f3d60cef2152bb7f85a06de4901e2b9eab1a6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d057d0a57b9df52bf90598cdc635b9e5bd35e5e65b770a30b9b009e89e797330.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0595ebd3f5370b7b08b53d77ed02bb8831d82322e866bb232e46bccbdb8e44f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d05deeb1671aaac7f949450bae9f6141d171331a8d2208261c13f71dde43af11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0669a4bcba1e5614f798165264006626d084408091299667dd599b1e0b32efd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d069b65b9fa17fa25985e16c92734cd9eb2cb2160386c7f425e504f154048bf6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d06b39db41ff36d8d4af481f9d151de956d6ff4f4abe75d535b85cabb27d7641.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0771e5320bceec34b4870af86d2fa5e3c50b0576073273604d82d36854d1ae5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d07ab64963c27100ecd23796610d4ea4d1cc3fa1c45baedd1b31784f1190ffae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d07d721aab49d2c0aa45a9d53de8c8626ab4ac4cda7249ec9af14e4fc330e2db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d090118831d53ecc56e26b067debfe904829019e3fc41959e29d9ffe92ba2e96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d090671ab5fed5706a22c690d3c47be8da1351c8b9b65d4d8ec37ffabb4b8469.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d091d143b94e14af0312d09746eae4506a6bf46b845bcc6710fa09cc338ccffd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d09663aea44272ab479497e7f4071d796f46542c1b83ac46796e2cd6e432b50d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d09851d1c9b212a3e01807ef4e0692998cd0d841ac5467d72b459c07c01eeda8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d09b5b026517f6dd094117ba072a44fc1a72cb214d1488a345c4ae7a530ea220.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0a9a6b8b71547acf50b68b213e870229360f7e865d302bedafc32be45374342.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0aa9066c0d7ee29b74af849e45a74cd3e8ddf3debc5387f484993c9a47453f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0ae3ad635658edb1eeabd16c8288f80e117203fb73a073204cc63986d8061e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0b1af826b1d7e1903fd888e54d80aaaf9efef1877ef4a4ea4b9bb1fc163d758.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0b2b9bc96fd5ccb1cad019b700fee08ffd91f8c1c5dc772cf8b797122a88c1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0c960dc866c14d0a6e334780acb0334e962b70fc0b849712b41aa5e89cfafc7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0d880d3476550a723c0c00c2b8f07ad092623c270a043d7214593eb24099c5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0dce74c15cb14bac0191e21b5c77576a74d7ced1a3096ee451ca4c4ff839dbf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0dd751501ac9e2eb0a64e74f47e3aaf8eb571316d9cbf880228397fc609f802.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0dd86065ba07049f3cd2b49a29fd60ce6ba03fb7a98f5f4804fa898b7b72c40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0eb93379fd652f95bb3de508b5d40f4577007249e7ecc5efa1f1e2d6b131bd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0f59bf57d824fdbde28b83b972f407391771d8c7539942daed856a03755f894.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0f8ec7e0e21a11ed7122d6800dec63684b809b9a5056fb10ade066a809a4979.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d0fb4c47f29b2e581e4adfc2b0e40528c12ff4b157a47e8c9ae7e6f80af46a70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d10ac4069ac0b523df4cba0e3bedfa072a7bbbd61e66402099f380fa0d8676c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1146eed339add63e5b841f1a4eb11a83ca3e08f3898c822173a4729fb942ab0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1153dca617270eaa150e9101ee4160eee9267468512b4a04cc07db15eda7d87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d11e54e3f64ce4e817876c7af1925dcb00a237e04692a5de19332ba20aec832e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d129aa4d0ccc840c6493179f8485c15fabd13bd56acf0537527209c91a889477.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d131e6b4618c04ad305c35e36e0da02bc2f1ed2c96d07ddbd41f814a4321ecb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d13d9f6127073c13d3d6122aaeb90f08d31aecc8b9a3285393a8b884434e0f9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d14ac63493b624f8d9039074fb710a17a311c6faf599d20f5963c7918281b52f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d14e3d083d292a7899ee1e83ea20e76cfc261caf08f6c78b83e030518d51ad56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d14f2bd2f27b46d4d7928503e8f67a0546611c8ae78b7a4a9d6f5a51d2b450a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1521955f7ebd7baa83207599fca27281c578f33f987f14448b852a05f3e701b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d15dd72c946f4a858e8129753f1643f31c4bcfdf31332e178f781434b5bd6d5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d16406040403cc172f8da59f2db0de1f1232ccea7202cdaca25e1b608b4f4c7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d16b573fe5f6f6bb6a022651d043795ee512a82a3b20a7e965587bfa56af5978.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1767b8497bb7fba95b1c97fbb234936af5310bce906aef1a742f662817c0e26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1784899e8d02cee3c0ac36c6ea9482abe471dd325a2aed13127d5049cd68be7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d17ae785a73e7346402c8e227295fdf838e8d6310379cac61dbe8bec7b55ee23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d18096a380ac58143e74eae2293e38e130ef8b34f4e2aac449b7d0ebb35eb4c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d18155830a03e8939fc9e5659519f1554976a79e1ba3570a1de381d9658a8787.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d181818b0110ad59c381e349488122136f9434239d5950589084c1b5abe0579c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d18735519fef342229fe7aadf6f062e3e49fada430ae28c5c44fa6357f19337f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d19350c1d1118aa619e5a405c2a298a98ee9cce1d53b2155d4caf39ef76d583e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d194a2d94b88c030faa98263116fa079a34b48a094271b73b8077b1e08bcf26e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d19fcaaeb4810204352d9ea7f7c5820e189451bf0b67a9b8c6d4f51253c33927.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1a7673aee6960e39a50868661974e195a1c2b75b11d50d9c27e8f4f9119a085.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1aad97a698a0ff67601c4bc76c6038862f9eb6b4ff00066e4f0792ab4169d95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1ce9a76f4e064717cd7be13103059abbdaeb779bbadbf510b07e9c170f1f7c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1d66dbf9f910b5754fffc5717d0bf677dbe11ad455584b7d2828a62ad4f5ab4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1dac090024edadddd58f3c9a41ccdea1d957db0d8225793e281a7f94d14dded.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1e7601db647d8fa82a4ad393dd41ff98a5b7684d0b01eea18dd5c11e6adaef4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1e8829e82f1bc7f487cdd9db853aa34a34077615abf112f625582612967f537.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1ebc846c20a28ac99431cafae5e5ea68856a229583fa960157b6d0967e1d213.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1ec78b885ec2fb02db15a7235b2cd7d676436c18ed6699e01d390cc9cd6fe2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1ed12597a635462acd1d8c6ce39e35098f4db9fe2de1c12c84f70ad19638d8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1f6380ddac9f03f3257fe835a426650568307e3fa4a861adc80dd4c966fc9ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1f6617e0ce95218853b5f0529c4cdc0757133201a6332b2aea7568c3477221c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d1fb3d55356da58459c84886b33b5a76a49b19415780301842da4f000032fe8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d200b5b9daa802aaf7d32e4d75a1d8cb4dff3294bb2d1ee3762d19f160e48d85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d200ea269da1315fc6af563c955b2cccc4275acfc877adca616093e05b3096a4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d21601654d5b0c05bab00b1923d34662112cc9881fe756b0b8f3123db217dd28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d21e40ecd3adbf24f0fc200b0dd4c0682b3c5a60a7797d75789d804ebf21e630.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d21ff4091cda5bfbd18b413d5faedcaf95e575b7f2f60d507fbdc0a7cce1e394.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d22464039e4fc4ae3e76bc66c7973d82c1a33b7aa0a7107487e7e640c6ab495b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d22f68aaedd1807994a81a7dbcff99af5b059db37982519f0ee7bab87d47048e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d24356e485155049364e0733f7f3efa0c8140cb48676ac466dfd6b4d29807341.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d24c767b72ae60e06174598c783195b648abc25a368a9e0af30693ffaf2335c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d2527867e213728d748174effe9c5c7db0c81cfb115bbaf58c40f747bb1684a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d25c2fab617116276a6bc7ac5a465eaae9bdb3e42794c2a1eb68540780571b75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d25d1a295eb318c3c17d89b47beb6fee255478aada6e7836c0fa607db763869d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d260a1761ce4e3442d6bd68a77b7c679ad354d5b4e33bbbf87ade6f99d464f98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d273c5b1d3ae0eb881e68f3a61c29b45a28051d589fbfce28f8fdd9a7aa7f53f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d2748387fd8178eb8d875a1871412bcec11e0ccf1222a17336fb4ab4e35971df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d275bd6ba43b0c11e3db030870b70beead9db49e46a06df1a8451b7d0924ad4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d276c9a3edffe849df1657be1610dd9f153f9dfcf24b2e3195cad9805e154c4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d2792a2ee739ee0adfed56c88935f5287ea965bd6ded825fe96a6bb2e60d3417.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d27a342ceab98a5a459fb289e700da8cf35c2acffd66595e7dfd95b70eeda3e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d2815236908dfe5badecad9dd1537cdf64f359d8dbb279fa4093f89b58a9aa68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d284b1936ba8cc2041584664d29ea4394a1432fa6d93ce2798547fd03cca3ad7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d29144a9eccd38a181319294c002654c558320c567160ff2c584b228a6f0f983.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d294799738d3d94e6147df7edec4b0b5af3d28796de8fcebaaf9a3d55bb352f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d29b62ae0d2f4d54e98d0eab66d75e6826d8466531d2f9f2c058c1c18215eb3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d2a969f9f4eadfeacac9e425c34b4ab8ab75bab2d897fb76a3d969071f4af76d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d2bc87b27729706cf4102e69c9111234c5d1fb448fcfaaa1c4220d6a3f7f9770.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d2c47216131fee964b0bc8f5000117053667367f668364eff80073045e247916.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d2e7840d244de764bd844781ac87e3e702ad97124488873928595df9d8f352e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d30923b2f4ea79808924b9854a53e8df3ec629a33e3d7bdcfc52c511c134dc1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d310df2dd97c988842a015f542f2350973b6d47acbc5fde9e5816e1fc531d8a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d31539b24e534cc1e7ad7cc71feaeb7cb5f7892c0f306364f9ad73f732f5e9d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d31abaa4d430c9a27d5fa604a80053f2c9841cb7350c9fd365786160fc4bfa35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d31e0b478bc684f0b61a3ffe95816134ab25fb50ae7aed3d93638f0410cf0dfd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d321d5d1de37ef91cd9f5538d509114eae58c107fe862548078b6143e1e1de9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d323cbd74b7f7c9fe53b639cdfc601b2d08d179070a83c524179aa24aff73add.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d32688ed45991f4625c2221f9eebde86514db8e6e866c4e69a39850275c0628c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d33239330c40617d2cbb27c7e04f879c5344f173d49fa24aa8bd4cfc09c82fbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d339d0b241a05b11f29938de99720a9e26ad239a8247845ce657431b1e7c0ff4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d33a818f06a8c724ea0aad6e2776946050f2690313ac36ad8a1afde0068f59cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d34105ac31ec3065eeffbc4a43277ca8797f64f2b0551e35563fc22333114caa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d34f61e99a8940dbee672e280979625dcdb3e6d61755db02db18ebc52754397b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d358b2a457d3937635d3506445c3812b85988f6f723a6cebb0be7d9b40ba2e93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d35b3f0bd52891fcc666c23ff8931718211226ef81bb4652e774062ee57c5b9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3676253844a0711f87ccb39fc8cfca7d96470fa5ec67d72c837e8969a97b848.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3680ae4bde2403c652e1e4f030371fbd251fc21fa600c4bfc77db2d906ec147.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d36b2e90f0f153cafb581bb47b4493cf86431236db059812b9c769e5a35c1859.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d375cd76940cfca0d476605cc94541a7d4086cf8e104540c670df746e565a0a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d376004abd0a4db0e8b72fbe8fc85f046cc8088a1ec3aaf009ae2284272fa4c8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d37e83d787f568fc3eef6b94625bcc0a4e96cb93bd6fb37356101d908394b723.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d38d16c79681246841067d8a4af7951ba973c4528ba46f968cd53086165204b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3944d228ac8193a98538818447e819738de9cb4751d3b9ef130f8aeeb77ab10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d39d364bbf34dcc687a6f51eec58f4031590bc4f0732c42310322b16213628ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d39db2aa563b6855cb95e52bcc2c0d5218f7693776c990dcf40dc228f7007ac3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3a079a4018ec21774b83f209c01b3e7c8979c19084ca1311de09a333b5d5d78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3b3aa0d353db9848c503bbbacd20312d9089031cd79a318f26e0d5bceeb843a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3ba85b755452d79eb9a3caf48eb3fe2e1b4a6d9bb4e368b8d31a64c9f551cd6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3bf110e5c90fb23b2c79b4bd68d02d36238a0e459f4b61e06c0aa3633800726.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3bfe009e5a63807f819e337e87f368409b70050454ac2a3b3e69111d03b38e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3c6d7a9fdcefafc1256dbf8aedfebaefe8c3886e18b7d8c74ec7507705715a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3c7c40944d7026424f80b0e24ab247235a85c2a2e510699e77e27c85b76cbe1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3c8dbd6dcdd718730720dac0370462b88e5a6724de8164bb8301a7afa9a0153.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3cbf465e1b2d3ce6d09c9545306da6ceb47d03f0fc882536f0a26661811e175.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3cdcdc02b99e75f883f9065a79f2b23f49a63f1ad7d1b779d9395ac2649af60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3db18aa5e0e479253748a46bbeb9273f8d60fc6ba146edf7f61409135670159.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3edac87f126198c28897df581bc535090bcd1b41206197ed23b7c07f2bd7a63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3f01cf1d7232d69bd6a59935488a2fe295f6a9d8ca874a27a8b4a6755cb37c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3f0614a1d862e2e4de3ee47d5328a11bef9fa06bb2078b62832487d453d6d53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3fdda3e184e97ccd957c9c9c7eae6de8fca872439244fa7a742cef5f1871540.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d3fddccf1722a1a2bb446eb02dbf5572d9a5b655e0751b324b24d37761c1150c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d40b29c8acb033204645fda3a2f74b6da356c4264afc35bd1fd5d30206664306.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4169885b18e192dd673f2356c5e3d505091e1cac7e146fb5b0c2b6e5ecfb135.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d419d3236a38faa6ec13fa00d2e646b77f3e430010a525c785aa45446d6f6e68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d426e925eac7fdb71ca5c83e9d025fa875320485f98d570d1b557538412552f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d42cc86e01e1fe00a4de12f2ee870383915ecc2e52eac2b5d08543f5dadc873c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d45b513e70b8d8de1a9a8d83d57a237dd25f3970914cd7abd5b42d1d1cd51e3a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d45baf17ae739d6e48b4538df0f45babe956fb9bd0d6c6af99bb4bc5256258c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d46bf11440bb5b26e8fb72d821880e59d1a732a26ca68ef3a0312fa3d16dc1fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d46f01e116fc9a22443b2041301b399602ca5b72cc2ce4d9a73f2dbca73c7aed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d46f248a8a31bca4331ffcbd4aeca141c19021058aa6732e44814beeee57181f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d48decc5090d5587aad7cd58f98d83164b9dfa44b1230ebc078addbe07d11325.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4938068874c056c96e7d7be472575492e9ea9cdbfc19602209ac2bcd8e225c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d49e93ac04ccd2ad393621154f03626071c6a1476ab6a395a1c364e42c819b29.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4a45b988701df55e04df96ac30dd152254ce639cc411f49f221d32b260dc04b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4b9c4a3277505e1d899a4887a019c6f886ed5a6258d19fee251138df98fdaab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4c08bdfa6c6359561c1752af8b9c0ee9bfdf29ce7ae4345dbd74bf2bda18089.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4c8a3e7740bdb0b5a26454054724d61c7192934265685028b8b47336a6b6bf5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4cc51825824ed8769a6079a26063db062be29f3874c32e2f47ab411a5180d12.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4d18a4526e9ea31fe2af5b7933312b95a7f4303d88838ba9595035fb0cc810d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4d23f5c9938149d9e48ff574b08aa202980a8c7dc14ff91f23b32cbbebb588c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4dbf4512fae0ef904af08ffe59b3bdd99f50d7eedb60700e8ad75a71c16ee3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4e966f29098260a0e8e85648693efae1cf299a5b727f833f9622947d83df577.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4e998e59d46bc1ee36e4359e634141355da3424d6d6b792ccab462a6150e29b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4f0bce3dca6326cd593cbdc65d73c7ca52cc3083ee905d98e4ae197a70bdb39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4f7c3253bc036afa16736f93533ec0a2c5ce9c1b68d170a8037410a454bf519.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d4fd089abc6e048fe301a7eb6aae069992a0d2c97702a15346800939db460a7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5006cb98e4cf07f540747e59530bccb464770b0bf1966556d342a95ff6c530a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d50cfc8887f77c18c1eeca334a913788108af95dffb7dcbc5f17ee7991b61d0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d513b96d4fc1d36ff76ab9d80279a5708ee6f538f47cfc793d34f7722e3a66c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5180590edf6c289765790e8672868a5374c6ccca7ba00e911ae14eaff3ad028.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d51891f74ddf232e3b5836104e27fd3b9662df82552c1aff7f8ab5c1cb0d0e9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d52203c731ec0f7ef4a68156bc733bec12d7965a02e6674f6c510b2d97c1f950.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d533c144348de3bddf9baf39958e34ca4bb2606105f42154d51915de9ec72e06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d53d4f43a80ef37395716928e48177a0963805091727e28c7ab6fa9b9ee36c46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d54920faf7dc1eeeea86f091e38a30af54775729fbc693290060111bd846f4a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d55853df64244f01175f448d264598dd382728837eeaee79483625432e228e91.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5670a5838dbfbf23ff8479cb2635e53098b5cd9a255b347c5f54580bbb7a91a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d56b406b3e5a892c0195d426e6376ca9a4df3051e3b97bac5f5e55321e7ac875.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d56b9c9bd02eebf644304df35df306688a5a39b2540bced62f8a35cee2fb5080.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d56bd170998643c0a3df1ecd59d8971f7555fbf7a2e204d2378ee364f8869a70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d57b4246b11a30049e836850fd75db28b1ddb52c5e98116c32c74a84a93d9f8f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d57c3e8363498c796e5005a61f8c15be1f4955b59c36dc7b795167aef24e6f21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d57c811d6a59d1922afd3ebbf9c8a9c8fb9d35c06156b3e1d3124a759c19dded.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d593007819c9744f80196a4d942a28d8e38945f736dd4f01fe24598a3595bfb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5999acd2cc5fba6da6c54395592ef7f7c99be4c8cdd596f21f3564302668cd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d59eca34291e6e94ee64bd4ad22c3ba9445778bda0eadc5135365e2e02e7b75e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5aca2eb54e3a50dca5ab105c7bb6fb48a21653f3cf31d81c8ab77326ae8af52.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5b3ff0ce98be23e293c268da1c94f483b5984a8e06d0d000c2f7c76bcb80d8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5bd8405cc0ac8e12aa5679d54988c24747c6c0262163672725b7e63aa698ba3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5c3904785c91ccd38c0c15170f0821aa8eec6965b3e61a2579b2367d0c65d80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5c425cde85c4f66228afda2d21904eb9681a960e1fc87c0936c30190c6d8dc6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5cac87442f62fe2074d53b36a931ff50380c483d4183acd8b3d20ae9c63aa22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5ce573ec9b381acfd2d8991a64e2f0bf3113366828f588c4f3bbd41d47cfa64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5d48e04704a450c02cffffadab672e193e7a8ffe04aae6b3694318879a989c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5df7c0738a7ad2a742055cff35ddcab1daf295aa1e8b52b3832438dc616edbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5e28c521ccdff341a2e4ea158cacbc7d11a0c95824eb9a6d9e48fada6353ff4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5e40e16e5bdfbfb707dc58b960df1e32d1e6ed200e29ecba1496a8902bcd0ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5e9d205b12839ae9d5c69eb5f9305937bb97585878e594bfb239dbb28470b4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5ebf0c1466f057a84b04c937b91b7032d2008f6a5fdd932d4ce64c538e10baa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5eead38361674846dbb4ff8d164637f08241400004471a3b4270c2939a3faa7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5f042b0d0c2b6e4ace1fc62e986ba9d1127999065284f6387d4ad6e72273b73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5f63e37ee48404679d8092dbe760c93319cd92e3230d4bab8920da4a23b7f87.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5f6cb5fd05cf6b78513559c1f3d496a08a0500cad259eca5ddda544ea3e733f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d5fae08d5f84415ab13cf1ad46834cac019018e64dcbc63e2ff879d7d0b50d5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6044a294d2055873a6c840e3f1ab251c10679fbeb3c37ba9960c78a4cd9703a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6082e76332f76e7b0a7f21f1cd9af4c8f6d618ccc31b8f74fbd1a031ec8b898.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d60929a9c9c58a60ad2a57d549c58df73fb60c4ac526a9cbbb2e1292c5f56b25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d60f12e9611e17640a5b39319cdfaf777f2189d7ce009c17a4414c1c3cffb271.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d614f3fd9d89fe08361388fbc3c2be784580edb69e478f4670c3dae99dd1afbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d61c5b31dbbafa13c8bc8acb46fc8ee1a1e7eaa32ab903d431b2e3214717df56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d632575d45bfd292fb8228a161bedef0bcfeabf5f6309769f1c7069a26a7eeb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d63620d6fa5c8da6282f5065a7773845906a47d4f991faff849b179907947635.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d637d5cfdb92d63960322a5522008bf82e326299afbe236f61e08e0ced7665ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d63c94adbdfab526c42a60349fc9bef536763912906b9423c37e00d852a749c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d63ef0585b6a180c6c0670e0a7df0727c2f13e2eef97b3bd9256c896fabf996e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d63f034911b7eccb9f131d5a1f1fcbbe50e3d43f9bb088d27110558cc4d6c895.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6420d995bafd00b1210ae9b8e2b53fc3896d8db0ab709633616526e469b49a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d646907a08976c7e635a11ee5f6ea6c73a694c91f740e0146d7739f647ef3ad6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d64c3cb5976073c72de51a3f09c744e6c4ed7d994f461ec99d0687a62c8c04f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d650b7aaa0ad955a40f75df6dabc8038e92f318c9c1b4d7028636075e80d27fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d65998d1b43f31962b09c9e5ab7a2621d27910e6f0c3233eb736b3f167d85195.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d65b7b34877bfe1f14e09162ee281209490f4c0ab473b61646fa668889a6a464.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d65dd423aab67e040f2d04e264ceceecb290aab662056d9d5bc931635088aac1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d65e7ccd54ed0e2c0f4c1c48a08ab4a52455d85244a3764037235ad8092ab734.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d670cfbf16458268718a3b4529be081a1a54f823b514305a5badade660f48550.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d680366a27d1c2a7d9baa00814f6c7482e9499cbe7cfb29b365385cfc32f30e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6824bc6050bd55bc54c792ddce1bad16716d8a7a953d6db45668fb4e8e6c3a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d685f216d2520f37d32fc0fa14774828354a21740f66b370ce23bd518b213a4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d692adc551978e5f33567e9fb02f13fc4c227828bb5b9a0e30127305bb317070.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d692f666c9fd8e5dc62f0417a65d5f588f6b7d0a637ec5f5f661ed1928cf0a2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d696ee8f6355b6be1de2e12d6b725693b730b796a94c82c779e1ec3e4a66d464.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d698e8bfb1d9c60d187147065379a577bf0fe135608d616087e7381f6e738884.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6cbfabc7b8b5562a80ec44333eba8bfe7a799f62fbd9d8e604b956c303ab7ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6d0f8398569b630b1b4c8b92dd8a0c259091414affca50376d39173a740f1c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6d323c4018aa0b5797cfa8bb8b88d388f4984f57e020649d0efea6b272602d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6dd53653cde31be9d81aadbea554cca6f0130ae6b1e651ac75c7d457f853241.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6dde620010b7d27b603e638636e26d419431639efcac6e903780b05d99d5a72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6e3d032dd575e8d69fd764e2b8edcff7a42ffc7a7af896d45a70fa19a916c93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d6fe954a452df0060f971f39d9811eed45243b4efba18d6513f8d6bfb9a9ad55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d70652abaa928dc2020f4f1feebe86b36b3f398532a2d643a14dd35d42a6689a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d70c55b521948597a374350e2f2a4630b9b452f4040244460a0257d30e7c6e61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d717ee2891c7e0fc335c282009dcc05ab9d878d74520ea81b7e82fb72e430121.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d71a97fe038741f96450bece40c92d3fa8d86b218d75522da9ff9f657d5f2b09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d72404bdb6e187e65d0fbec9394a5287ee73d1d6bd82cac126362b944cdaba9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d72f3915618504200bb36b8997f8b349f0cd6140394d8d26832c0e66415d3023.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d736af244a667670ef9fdf0cd267d37533cd84f99b6dd909a5d39ea113bba9cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d73875f31731f84201ad53abcd72745b3f6fe21168d06f8bf778c8a8b7d15486.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d742ffbfc024af45c7bc04e105c2be5c14ecdd7e30dbcc1d671cea106bddc4a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d744ef9a1f1646aaff1f14d8bcca016ee1bdc5a53b6102b2938894a16e27ac4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d76b2b37da2b793a3e04885add58a3803712285b88ca80c57d13820f70cd2c71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d76cbe6c64705b1e6cb604acb1273b3e6968b1f2e809a2c8aa4cd89aa4ba36ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d771856c3daa1a6dadda951cc1aef7c9b6cde75e785e18fe5c7e4402286a13c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d77c6f3e8df91866ab065b2c8eb4304f2897b3db8a8ceff4a06c224fe43ef869.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d77c7df17a7e49136fd05c0a8ad4b7e03f2f507cc201caa715401b5cae315815.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7845e4780af8454bae9cbb01ab7010ba37139b0a5e82fa9ab1330c1279fbdeb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7887f6d09e1bd97e4492da3e325ec7c733acf2e637e2586733fc96c1f5ea441.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d78b296a883730d45fac5728fda621b5599e43c7b90584ba8fc70dcd63490219.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d790bf1bfba4ca93bfece8f804d1235ef5854c0a49ba524d8a5e198c3b1ee37a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7927191ef22c846b92c89b40be779d7b7a904e02a8c66d82aced58d18633c88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d79581e154f55769a4bf358ba9d8b469ea09ce7bfb89b36a443eb86e496a9a22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d79944de22086defbf727dcdfe00d4af8fb518ac675aeba906c7b35026085e6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d79a7931c96d1782b4b7f8c876d120b190e14a633e1fbfcd5601359d1b5600d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d79af0f41cf02b4bbfbcad619ce9032162c3094e85f6194026fdf2c498d9d5ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d79b288f1fb9f2d07f65dadf82d3d1c5e198de2ee69ec61bc12068a48dbb606a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7a3c4713ec4c3ff049239e47a91509d46f90b243a6021d6a30fa148b1612649.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7a6d380bdc175953530c07618546a2d8980e585293f28cdaebc3b38b3318332.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7a8e948b4a375a4d8d5b7cfabe74f0acaf07df2df587b58790431205439c1db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7a9e18b96d8b55772353ccf58aa5d24c7266c8027be5755eb10cdfd2054bff4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7abedf5d9d8121df6d76f49783f87d0f28d7ccd668fbf0dbc165e5d6cda4171.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7aef6e3368a58c1a182a0855a907ad2edc4fe8d881fc0f8f5766f0b5c4865d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7bcc6493ecac09d562d4a896eaf5e399c06158f770c8ed9996902321b321af6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7c8cc1b6b4689ae409fb63bb05971044e37d4c8138b491046754acff2102b9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7d8594ab4dde99d5a0d7533aa939e86016bf8b74fe9ea9fc63113bf0dde5871.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7dfeccae9ede5dec8097b7160c1f8b36fbce9fef0f3e077a2f936b076efa663.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7e0118a9393dfcea3e6920d337af5d9100edd80adc69012cf790b958a014c41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7e027ef1a3e636277db5af4469f5f40038b5ab94f3c7708b17c020621c97552.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7e5d384965aff6c23fc6efd0c4ea2b275337418c2226e961c116d54f7a851fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7eb75ff778b697511bf3ce34e3b91bf15d7a6d3d1433c64bf7359d2990a6d51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7f60d5b3cbff22d5f19e3a14e7632a713994bc82308770cff9f5e6d98670230.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d7f94c9219739da518fa49cb8d135948a550cb6d7d3240adb285bee20536ac61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d81842a34c2a39e637bd64a55e7a3f63751b608300410b86a061efeeef9cdc42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d819f6692e2dad2b40158dc90d736283df6c2e1e486c567f9e831fa32f4af0f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d81f11266a67bdf8b6ffff65c437338cb81c1f1e9ac4876e8ab67eed5418531e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d822701aa6f565090645e608ea13df0fab6c450162cfd3138448d294f16626b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d82f7c465cb059f22f6d61460813179f349f9818fbb124500b898676506cf4f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8370dc7cdd5d3bc9faa8602d3f7fd58d2d4303319daab494c9af46c45168a67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d837840dce4a17d095fb8b4b907e7440d3608229062439ff839d519b62cdc1a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8381a7cf7ad7c75b4e09e41e5f338d2389c3fb11c34f3a8dd8455f15a5bd811.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d843e8df186fd3f265245ec294d4696ec93997f1868ae562ab661a10fe3a1f55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d84496faed9a927b89bca4747eda8a10c5bec745516bdd5d71924e64027622a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8456d5c6fe8ba90464e2e06185dbe93808fb1dea72bd84e72c69978045e3f14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8469d0dae5112cef39bd35967bdb9e4cb862ecc38247134834e29661acbf960.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d84779322e54111fe2e72d8a2ea11dec8a282b5cac26b7893ddaa6d637ecc6bf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8485b03b58a05396689ad4b3d5415d902a7e0316fad76e2bfe7b018741c32c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d85d69e026cdf765357169ec4745d2010d3ec04a7c5fed8f6a67182b8d49f82e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8609fadecb372c0c622e85dbd9f36d279ff974e8638d7c73a7e6e7c4816b47f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d86939d0ce1112e73488ad35c82ecc092747c80a7225a44c77e0bad9fabdbe82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d86976376cd2c808b58431d5faee2c8ce5f17217585ffa7c5abaedc3ed38c34f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d86aff92303c0b4a1fd60036cf4faabc0622eb1da171140ae5f4fce9cac4777a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d86eb1fc377700647913859616b47c5aa0050dddc892e24ac1faa9f262b4403c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d87b5c73d3488168589245df589519dee7dbfb0b0422f5033499d6d6140e33f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d87d79d6b533a6d94fc9fe5f8f4fef8cb9ed2f85a4b2c7a806f090c19f2604ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8802d51e6c51ceeed7e43146018c533df1ca182ef988c7a8cc085367db62b9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d88367bc1c6c603d618444e107c3c7f09633eb02000a42aae75abd60feee5ff8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d894ac752342800561eb7b7eaf3dde7028fba385ebe0bd9beab71be03f3306f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8a0c9bcf00dadd1d7c342167813ef804e98c0613ce81eba25534cf78ddf2aa6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8a8f197d7ac63be595e5bc0f8dfabb1cb44d096802be1c4e8c2b46b49f69fd2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8aa49529b9429d281bed0f2b43a6206690a9d1f2c6a5330877644bdf7612297.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8b8cb201d78af5e20777dfe65f3566b51398ba61c810be164155666eb0df6f1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8bca9f1f197fce66c8d44bb655bcd24d163418fd499ed97638758d8f3e4e4ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8be97990efd12ded0006274c47cd09cbcdb89c641e5dfd4df1cdb27f131bc36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8cac90b2f07580a45bc4d9ffa88aeec4707a6c3a5ffe3cf4668cebb21d4d82e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8cbca88da1510b8c69258f1322c5702890d19a9c12a23422c5726df2f1d84b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8cebf364c6793d9e95787960482635abb4d8af4d7c4c99d0384d7808272021c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8d4336c28f5760150cb264ec982efb0ff9e42a97c9216a942cee2d7b10f5e1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8d72968e5fb64f57c995f3914400ee7c38e653669350eb80b25257ad87373a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8d78b5b1211452d7c0e238586e85297790fe748f4e52c99dcff014a65a32667.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8dd57ef6dda0710dc919d05266cd55739f5f4dc625e5c53100f27b0dc8b1f0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8dd9b015b75ca0ce669821bfbf3056bd4c337ba62a403d6b4699bef75d543de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8e01c5700e1b6cd70f6f68d3753a08d544024cdfe8dfba91edd0f87b4bc3146.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8e1809698c5598fa4ff75faa8410c24e24c85ea853304b831f046855f4dfe1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8e2d0b498ed2deb1d54070d6d75a42f15cffd3150624321e974b7035e6e6e38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8ec79d44d9ac9805b0e3233385650fbb7943213c011992e5cb7650d3c916ec3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8ef6d53a787cc8f316e5cbb983ecd1da26de997db5d740325c4a4d932649c66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8fa104126fedecfcd60a115c9f9821ca5fb67ec1234d90c5e740b16bebaff82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8fa2b91bf17f2b266a5cf0547ed9d18d7faa4e32b060a133e7e0778afff3b7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8fc59aefa36974f3ebd4c8f7258d80ea9f0e30881b714ccf3d6abb26be2d68a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d8fe13044fc8ca98abafdb1de8c0dfdfa1c08ec47d5539b8524264de67fcab75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d908175862b4c7ad865e20f8ce5db3c1a878135aba5d402458128aa98baf20d7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9084ac88f12316d1ed400fab863d177b89efe8fd7ee2694dbf82ae73e4c6163.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d90e4bc70178fe648aa413c7da5b50d67dde959ddd43827910bf302ea303b5d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d91247f3d2b7382f76b63b3b2c6a8a6de8f7f726c2f66846b3ce7a10184699b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d913bd0003ec446ac13a9a52b8ee5c77a0473596967380224e88865cf9c830a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d91e300d66f21447f6611c4601994856e1b0e044df7a93dc4f7bb01b353af10e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d926c5703d8e10ad0a9d6e0e3928bd736c61765372a1d9482fa5011707688b77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d92f6480d9f76ec01bd134824f8f217e4604d7b1f127ca86ab9b85ff006ba382.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d937a0c86c4a4f6e28b1da680b015518d209ed374329f83bd5bc9cf903775aaf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d939be19e30aaa7f4f3ec4e588e965f06ace088b57884b3e6fec6e8c4c7c77d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d93e7a7fa7e3d4a49132c61f35c9ad9fe4df39db6d05b626d275daf1e457da13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d941c6f77deef692013f28228750c3204ffef28e654350c893b71a5ac889d2e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d942088aa9e7ca5ac5ab51f45f0050157cfc1c61859d04ffe670c9642ca74afa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d95293f0e6f278619f45f28ee207d25e03912e6fe72439ea631e6662a68fdbba.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d96cfcefcfac9b8d738c29c6e07b27df42fe170756937ff56ffa05b4f05f47eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d97042ce0422f6472e31cb880e8f101fcc1f68745c261e656f1d91c820317926.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d970b343a053ef9518e33469b9f3a4e4b4eafefd80d16a7fcc635bdabb850a46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d97b747209dd8a2568a69de392fd4e5dde8e54fce0444eadcac7b46b8ce8dfc9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9930e5730f9c0886ba4b21c252c38f1f7b23ad66f68b0b5d6c1f628aa71428e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9940eeb9dbb6043f68d01916e9861134fb8295ba3f5cf707eb3f17736c52e72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d99d7f38b91dbec8a4c3d338c3544aef0ccc0722a979246cb3e184c398e5897d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9aa7195040abb086bfd3133b82e945f477535bc761b79f0bbd738ee966723c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9adec6e65394f40fe5c2733150f74b7316f3f20681e3174f1f0978eabc444d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9afe24aa2c8f6fc6e49c190a712faf2abb02dc39df195961ec96e63be6e958e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9cf8fe43d72ef19fb20363021925dd2f3bd62a7e78f37fc21f0529d0c353a37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9dcc63c481898df12c5a18cce2115b5c5f51ec4bcb7c5ed3b5091accde6827c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9dfea97c46c4e53a4c07856ed35b380710e5dc6f19bbb6afa7d435113c850a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9e0588271ab832a11b5124be4af63df61d5cb008178ceaec440b894a38c3951.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9e73681464e1f918876a1d869e1ef734cae2e048979675ce5fcd5c26f12fbd8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9ea67d4b9bfb6590c5b449aef56d09e66e635799eef4f4f2529107649104353.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9ed18a8009bdf16f98d78312ede2169f3cf309a3dc9cf4ea6a1b5452edcc2b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9fdc66a0eab8f365d982c0c9e8c4f4e7e7448c85324c1fc9b68e459ae4e02de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9ff4b79000ccd7cdb7599f8413d6a4d49ed387094f4e524b3b570bd00b24b59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/d9ffb339fffdc1f953ea0b6deb4ff1f953fc0ea263b5fed2cb02bf9038e21454.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da13603861e28ceb9abad60501f2e9e6f89dd3197bed5b067c6798b179b099ec.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da151ddf12522f2467e662eca2ffa1171f1eed3cdec46c2b1ad0e28dae908f15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da19abf1ba8ffb56e8100446eafa9d0b805a65b2ec01759c5b64d0f3abc5da0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da1d65486a6d020e3383cc9bab60ccd52b513316566d15eeb35f1b2e2734d043.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da22a0a40db724df3810823fac95ba313c01eab4e9f0c118f88d5a257e2a9630.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da2736c6a5727c30ca8a7124480358b36145a5de8d407e2f13e92f70e4ee3f76.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da2897a787aa6e1b4d286e9252b049e7c8dfb22bcf43775bf292afa52cda3849.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da32e5f7c941121803a7d89863814c93b6e4bf29d46a776efaac27ea2c6ac158.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da3a22e54b560fba7bd1329bb956b8a674b55ff8c6a46be2f261a8780d28b2a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da3a90efcb5ec87be7a0aae5591b226859cb411498bf9ad3ebc5b8ceaf133f96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da434e6beffe0b25eccc2326c05d10552a81390b5ea7721e26d3e22fdebb3802.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da47eff8c43d2452282e5e9c28a1acbf8c5133e9f1b18a48eff080e7b99e7ddd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da4edbf621b6e132e2675e1cb0c81f1584355ab13e45065ffe91263372f11b25.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da5e964cf4921587a1b3e77172580756f48a21b1f4b3453f7bb842c405f75742.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da61a2321218e9a02bd7f45a1f124c81db9a137ab8bf9c712cd474ff5cba3b37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da638024d9f56285d9de05f3d0f5f3a0863a95a89ca374373d9b0fe0a9efdd04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da6691d3547d0589eadb24e94253ac164a259c1556c966ab0b22bf87c76051fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da6c76604b046046653a1f1d7e18b85c67b0c0968573a8d332c1b93873207ae0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da6d96e2bd6b5c5954e470dc6644539f99828ebefdaf1c50a61e8bcd95fe7f34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da77a7c99ed29f897c667ee09ef909a5f1055330302f2d5217ec9273b6b81236.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da7f79591114ac2a80a1bac7e52f710001653763861f1d3ede23ebd5e43b3f04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da803fe380158cb6c8a089801b02f9308616c60f1bd21d0653c1cd1723f24c2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da848116b74b0c93f460927f12ed22f8054ecf399581bdbcbd852d10d132f728.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da898ff97e35df9081c59a2aae5ba2a4d4754bd99c1dad19673360fbe173d432.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da8c12616ff9d1e3f4ef732183a793c9b6ea77be647a6c843c49f140ba3780f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da90b67f0e99a96946a009eec7acfcc1a0cda1b1bb33ec3bd090124c5b2441d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/da9535efab121244310c9ae74beb2558971980066cde570f6107d82fd68a2e49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/daa056b2a14f666019d521471e26a20cfabd58307db98aeeab615f01196a641e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/daa33057097d8caecaeca61114733b676a75a5871951205d35aa19339f4338fe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/daa88265122537d559ca3da1a32b570ad0416cc90dd8b1f0b3e337d607eebc46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/daadc986440a8746e4606e1f27181ad83a4dc92e8248ea0fe22443bd90f2432d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/daae447d5fafbed11b91b312b3e028945fc00a173b94eb6649154d8a83d4afcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dab7cc7bb01daf917e4572842b15d4310637d221aa0094a4f21191846496ef7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dac770c8713debd09702364985e462c7ad88413a1cf4eb2b7d3cb297bb7748ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dad8fc6f5369e5044bfe754c6794d2febdcf9af87d0eba213aeae91e97c9613a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dada80aa3b511b83bffc59718f27befd53a2aa450a42f1f1306d3001035c9fa1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dae3f23377ad25efa720abd8e17cafb452088647a5a1c3ba71b056ab7cf6c45c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/daeb340f0a318a54e262a9f7d94c0a83e3704019ed26a098c22f872ee423ffdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/daefd3e48a0a651a66d431694dc61ad403194d1743f5a39176197c15a243e20b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dafcff7f99c5354c1c382e064c4f8d941e4b6152d09bc5cbfc8283959f2760c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/daff66ba61b1918990cd3e1f6534bd0c7be28af56fe2f850fa2f36a19c7b879a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db08bb20d2e7acbde95f08678deae42977c88756f059421b57c9d7ba1c5e3ae6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db0d5cad4b850429a1dd3e517bac9a0ebe7fd38c1c4852886dae65aa5ead0b53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db0f4297f77a11305a6b379324295812a7b2b740d3b24434e35c267ef2195052.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db0fa329ec5c4ff1d2979811e72a9ace29a567a69f7c48dfe8749243dc507a03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db2222ae13be09d9296323a6d80e987ae3affcf574cbbfcdb45aede3332337f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db23832aac51896e185a50328765e89aa03e31606139ac7f790faf75bc0fb2e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db29bcdec2d8152d2835da7952f907c7a151cc87e85bbcb1d891bba88e0669a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db2aeaadb1be645e20be76b7747fa72a7789af1183d561b5fcd0532dabeb5686.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db4425a0b1b33a89100751b1c36f97a798df351ec296b8271ca8f9b47046dc57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db4d0950ea891bd8233fae1d575093006b528dd32175b22b1f057efd3d1e7330.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db599aee2a9c11be8052568d8742d6566a4d90bfd374fb74595a313770f5df67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db5d0762948cbd26c68ef87f8d7b4c339fb6380b999ae03fc600114e909c65eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db63d6d4f7b431cad79bbb5415f4e8904cf4e79be5eedda07541c15d8bd16e13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db771aab3a8090266c3e86e32b1a72a9a4be1c634ad427e683f945710a783cab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db773c58e2199a00f263bd82d44b05c86ab156cb80af616df358b91a26f23cf7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db7b919fb8722dfaaab9820c551803b873993eb070198183351f2c66f38f9c19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db7f510197d5631f19b1b4af39ac3cbb8c55ed08063e4ab75d0615d4231a7eac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db87556f27da8403b61ed866aa8e49a34aa476cff56e84d44062cac7d65a3353.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db89c1739acd92311f2d4363ea2e9f748647a38d5939d6a85c7fd175b75d7b39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db92ad5280ab1ba6a794015f00507d2db6659e02fd89b2670858252f11fa1efc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db92cd13aeda5ff386e9ee17de24098182b618ca49344fb31f4f3f24731caaa8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/db9c1674003516a9e3b3f1cd73133978e81f1ddbb3f23807b88f3f384527291b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dba4e54d58c16026150566d6ada59c21f081fc4ee865bf016ce8ea8b14729c1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dba7201a18ef7a58136b8fe6eae06e349ea5f4e5fd0f64023fcd35ed2b291be9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dba9756410d1a12ab91091dff56ae34ae2dd60d9613aa65d304eb54f10709c47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dba9f99d635d1c1ec6d4ed0f46c6ed68ca2cba8464b0e0ae7ad1f65c7f142c63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbb335605c5ad23cc5ab2f07cec50c3741fcf25c639956fda62bcfb672fd5569.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbb517743aebe9cd8e1ec7e2e10c73e4d7eaad947ccc3e7c2833eefa71a08b1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbc10a95496ac0aabfae568dbb3eb5c22fd437285b48db38e972c64157c676b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbcc8aaa40bb16cfa19c4c90b05abc882d548e9d86abf9223e7bc09b785be50a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbe437463fa5dbc19561597dc5dbfe075f6e88e055e8fa60c9db776a2f7a2c77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbe8f4eabc3abf1f25f3ec5b05b51a4c226b74f66d388b2886150f8eaa926806.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbec2c47cf12d687b8308a7dc4c2903d4d005480380192c5b4cae10b1a7789d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbeeeef1253094d4f646da910306c5e31050b8e32d20713124c0432204f4869e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbef6acac9f275827dfa538e9f26c9301514f985a8431bc4686efbf5d36c183f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dbfa40c23c674ba23fcc512fb3f1cc63f47c58732cc4fd9471688787309dc699.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc01385785d81583fbd390b04428742adae8600982b838e935b2bda0a2e07c5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc02237f11d24c19bc26d947e304dedd32f385a3dd53be829c33fdf9ad2b379a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc024282969968beb72655de767b6ca1d0add8271f12551ea9880f020d2136e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc02777972c0e6b33be7ca42e399783af829299ec43568eb2d9e33d040b2671f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc033eb0ab032537269024e855688c27ae12a8466fc4a1608e9474dc5cf1c9e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc07b1a34b3310a80358ed355fc9638346fbd59947755771ab13b5662bd488b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc08581226e4226d9ffa5903c000aeda6fe71da8f5adec0a30038cffd330f92e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc0d858acd67d45fe19d040e4b2d85cd5a286a2d8c47968fd21f819870b30a5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc1012a574cb4f2aece4e87f0d70f6ac000e4f68892ae75136c0bf77a740efb1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc2462f10fcaaeed7c1fb18b8c0a026ddfb5e56892ebbadf520c9d6ce074bc98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc267f0c09d9bbab294e9bf3a864a92afdaa1cd4c0a9d87407797a3700229c13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc322fa6232a4f47b850cbb66675570ce1af82d87de734e41b4a15d19949362a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc3c3c651cdc112f6beef369fd98e290835513930127e5789a016d6c55f3f537.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc3f64dbb2dd541a6697916488017bc3fb637ab057e2c395e1b207d683316f6b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc4003da31d037f086ea6a6ad3fc94a97493c120fefc22377c4b6d310cfe6cfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc42a9b3cdbe7967f6035bdf0de541ff6bc294501bf6a09c34dd7e96168bfc43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc4f65629dae630e15e79cb93fb4e769c3785235dbcb06be7c587ebc57a34b41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc520401793f434c14a017dd960f76ac9c91f06bc242d5e4e8cda0293b6c0708.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc6310765e56d0a86590091d91cde57c9c503f1de3d53a37d542b17b54958b26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc69241b1dabe07322c9a3503fe5642affbd9807af37af2e788d39ccdeb93f8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc6bfdc414ea26be2022f79b27f9010abaf0ac36784f7c0fabc10077e19f9bda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc6cef9a130856858e0e6053d1dd1d46c5063571bd9888d1e0514f9fa51f8aee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc73210f296a1c82433cb11851fccb9c484c24be904a1150a8fa477440a0e3a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc74e2edfb490b20c49e6ecb62ab9fe0f78ebfb89e4c4ceea4724449553f8160.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc7b64f483e9b6a18e713c0356f5370d5040fa0b541dce10d5921bee4b874a23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc85d87cc3aa67438db1d86e21ba124a4ba56b18137040ee0747829f9c56645c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc8c7659e3d3bb2c527ef060ecec6919cd49d44c160cea371f699ab79f8cae4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc8d127d817ed63a7960d4c2566439d2b01d3199200425cc9fabadfb250c26bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc961d42377ae1cd7529057c8b05d2e80ddc23191cbb2a4cc35524207a7d4db6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dc9a1cf34509cef8751a8d706c2534e709e5225da8e9b008d54603646c8628b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcaeda2daff95e3b0d20440201c0eb37e97c1cc1c78f46b4707e8b561586a8ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcc0d92254fde38fca76e45d4f362eb113b113d99d5a635244be39b954e643f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcc29f0114f43f7c845f8aa0f0dbb647958fa58a38f2459afb64c17e1f9f1bb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcc36ff2c4f709d4210b02c35439ba7dc2b8b98d05518b5c5925e748dad88c61.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcc4bdc47ede1932dea5f2ff93bbcc252b2fbc429414e208b9d80f9373c5bc9b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dccc8f269079e94908bf8c32e81f651bc79a0da9ba34e2cbd7cd97d08ea2d499.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcdaed099f18815288f389ac800f4605bba3a1894e6dda9e5c65769ef423bfbb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcdbefe1e29e52ecb3cb88edc4a0d4c31eb0c36baee9ca72b68b603c3ccc3dd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dce191cf20dff52c9be48dd8adf24c9b29d1094e6e0d07485a13ec2d23b3c095.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dce2eff1d541caaeeb743ff00c991aaa61f8d6a3007636103abab1ae3d1ede98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dce3274730d9a4baa41a9c8192865697c85f56749ee92a2ed453caa39cb66f6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcee5e14c0121ec3f3f50bc1e51b70db8463fb107a57f52df985dbd2ca95bc6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcf6f4aeab22cbe8848095dfc154aefaf9a7f9059ed37776cbddeed341dcaf68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcf73f0d6ffa307f0c03b144dadc5daff5b44892ee834abb7f6f60e4f610a307.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcfb1ee35dfc43e8da3c4ede7b2b89fe24d085d033b159c0b6bef65852b99750.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dcfcbf0d45ea834faf796c58f5ba519a830517d0395add2d07663021348bce73.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd07b5c84e277e66770b8aa07d0c4c578ff895649a67864d21a42bacc9652621.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd104bf93738685092aaa8d23522dfb32bc49695c3ec51d71fe5d7a95d2278de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd136b95fa8b5f45fcfb4b16c82cd37b47570549ea9878a96717a59a40b64bfd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd1f10e21cea3e12fbc770a0c5948c06537ef72f21b280fc21461db148de618b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd253bb7db4dfa2da9739c684f011bc5399ee5f940aa6bb739398ef55a1f674b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd2b99a7ebf61b5019c3940dde970df1413597a9ea6ce2804a3e2fb2adfa368b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd2d0513355f0390db72f3e8935e92d2f0e89e254227d43e60c5869a999c055f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd382a9a25cb086f7afcf98cbfe80680b68b3817212abea1a1c2add7a2a83a82.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd3d65d45affa3e0c97f8882f5d07dd761ab5514d795253fecf282856b6b0212.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd417d9eae38d771a6d9bdf52c758de135f67a709219d127915793b84ba9b613.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd418565cdfa65b053995956276ae5cb268b07df397a0dee8d5d95dba1bd8f01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd4a319edfbfe1f1fa24fb6db9355b987ec55743df80a809b42b1022686fc033.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd5bf5346898f084fe327490aa704a9af758fe42beab61664114f02f95cc18a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd617fea8c313ba74024d6460b8853ae0ae7b999f9c4665dcf5b59559163f410.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd61b314abfb979fdd8e42d486ffd5b67fd06647b8c7c273e13cde50a9400f2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd766efbf08edb4ddf3dff31847163af52051b3bf0c5a9d390a012f96e4d7790.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd790746667f485f2c6cfddc0b1bd9d6124568df982307610a6b27d0cd5ff11a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd812dae4d05d3fffa5860aa24384fa73dd921367f383f33c6f1cb1f443195fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd82a4c3851902ba761fd1ae7a163aaf852821df66b16380eec96394e6121568.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd8d37cef67088c28e66b4c053c58e4786b867468b441981ec80fe2b9dd19213.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dd9d1604aca11ceedfbf776508ddee145b753641c47e7ae63491a9ea10049c47.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dda0561dfff08990e950dc883ffc523d13b138354b3687b93f3d4a1d50dc0905.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dda7179cd6b1811f10316f3061ae740ab52d31b2d7fb736f63583a86e30eb8f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddb49b1b752b09fcca39f57536bfa93837cb14c34816cb6c64f2514e1224479b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddb67b4eb24a480cfeaa0d4337b86d5034ec040c4c648cb9d3b43685bca22764.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddbdc14289ccae75c1d210581afd6cbd4e16a2a5395096f77562a3c0349b495c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddbe867acae4b06cff9955c86823abfe9bb12eed05bb53e1d0f5dab6b0dac379.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddcc5402f206871868a734956211fe34c007b86859c058774593a57efaafdfd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddce7e7e25e5bdd50a9c751142d729bfdc29538c28315f2e79c0b6b7b51cae1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddcefe18e622f1fb05fa6c3fc741c52d368f501fe8be6e2d521c6e62b0a2e3a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddd9b493f2f06b35d684c89253f4b2f4c5277d114095c0c3fa5adcea090be31a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dddb7292470e5af77c8eb768942b0dbc2acf73e7ea7de8ec570d93bdde1842b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dded7bdc36d60c725dca6981aa98044fb4d2957945b5f872f88c1ff193f086b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ddfc83064de3ac4317749fca7acf3e688300e454f53b843e3d1a59c030f646ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de0331eadfed36b7b8c5c6d0268cdc9661954477ec2483175419807cd68141c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de04982f94bc937c614d3b1595d6e423b8cc14ea07684d8784fcceea87c1fc2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de14940f69ce01c619a108de5ae428715f42c0d8e4a88a5fc317d025458882b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de1b46f33c69670a2b882523399878e768096d595341b086f92872bfbb85b83f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de212f362ba2d26f37b4cd947c4f3f255e4b571693e7a218080a7d13fe14748f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de26e278405f301ad57d9fbfe8c2868a8b57a67450309b24be5ade7ba147c473.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de2b56034fc92abe9d5b0bceabafff5fa2f261329436ac92424bf72256a1eab8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de371d9d45f2f192cfe3c9d07b2d97b09fc2cf44a7a04cb97b1cd54313e2b6c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de3d4a21e1984bc3ff33c0deff11bc341c255f9ea6204617fd9c69b7c5f65f26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de3e476cb0cbce3951b9bf8ac8f744b71e6d3becc2ae785578d37c5f7fa3d4b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de4bd03a3d9fc2434ad4e1ee3e441482a2c04f8510470519408c4d89d876c9ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de509ef669e0e809ff32a55ee9e424112c73bf9b1676d0bfa3cf4d5cca747421.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de5c158288f07b792ec19ec95ed7b93a8c60af8cad0c3674ece780b36aeb4a55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de60a4a7c80b49fbe7efc06d400e45e3850a1209a33f2ce0f371bbd4c325cb97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de6ae60ad685a49e891812dea1f00d213448c1b352938dc29ea1f852953a6f93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de6e1ed09e050cea0d29d4fd7057d35006c24ee716b8073134b6b4522deb8919.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de7acb25b2853b767ef08e0495a288025798fd7e1115636915e4bc1e8bae4b57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de87c68a814e24a5bb816709511d72fa38756f4a7bc61bbc840ef4561a8ba84d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de9082946b2aa8be89625d0c549be24bf0d3314571a9dbb7815ffeb6b825424c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/de9b84f4a1204c656374321cae7c4df9397c495a403984dee8a0c8538f6e08e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/deb2810adb29a8a0d9be1ee2056adb20979beb294a8cbb92d1c64e5ac98039ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/debc167d1c63040097937dc270122a905a46c9f1fb5a7033efe29bcb873fabe0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dec8387373ff6dc6442b395836d8f760ed1e74a0063d361807d31556c19a44c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dec9ec0313294fd6eb27b1c15bdcfe2036aa3ab6aab7c309a13066276f8c5c1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ded1cd7e6b0cb3f7fcfcb77863c4cfbb3ecf5652f9d9f38b396dd95db2de4c00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ded2b73d97dd38e7f6d65bc10447de70259537c50fcb5775774c3730f4a059e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dee1ed512a13a01e14971e37b424e66659e62bec0f287d065a5f7d331fe6f2d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/deeb1ac43a7fa6f1a23ff71a3560a2c678144bcb9af7514dfe953331c9b4304d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/deed3e75cf9a570cc50884800f8be00986c935a126be0dcb0ff277d68fecbcb1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/def57a9d8f035ccc530ec6ec6ea293c8b0f8db3635a13512cb10cd8dae7005db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df05ff321b30bdb95691847a6bf9322b4ceedc469120215341feb668e119264b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df0a04f7a4819c7cd3ab3de860b2b48c52b74084fd2282fc151efb027f060ad3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df12df04ec7236f9f12cf323568d855db9b3a1e457625c80f26abd2471e08759.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df161fad95136efb200be773cc8544d39886da7dbe29b75876479ef7d90631eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df24a444e44fd1abbaaa46e87521fbbf7d887fef78818b4bbc48126540ccfe68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df25807e4b37ec62e3b6db23ec326df4cd9fd0757da301f87d511ec7666f83eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df263685bd2c7c481d73895781fb1e968ab6ddd2f44e028865c151131f8a929d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df26bfe06f709213b1021d5a11359b9fdddc266820d59bbb5a10cf058de1d2ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df2c5aeed7880c36d2a242ed9b0af842a95a141d2137e5486c009ad1e024ff50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df375a11d318350b912fa9c5f35647cfc6d043cd111c587b1e6861add7bcd35a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df37c603432e7df062554ed0fe9bf8762c89b8a71c76ac991e96edc808fd70b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df3eb9415a04d0298fd3b8eff0ffb164ee61d63a1116e88bffff558445024dd8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df4283f9b1a12a782ad50be6a645c9c0ea7236b908dce6a15efb430b87cfbc51.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df44db01a5f765f61c58c87bd8b8ac96afdfdea641a41b2840d951757361b764.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df4a7f185564603fec2a91dd7491c94742b93deef178de04c9960e74c510e6c5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df4d8db524e90f8805dfe6837b8d9c92d07a48106a7588303c3ac993e6e416f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df500ecab215d7a6fb2991095802ac99a7b74329bb2a35653d2f19d8e786cfc8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df58732eacf31a97c059713f2f61ef8c7d74f8837944967f6198f8cdbf3e1193.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df5ffbf70c66431bbe674f403809918e5155cd1f70899da8c50b13277d0325e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df6338268a90cee7664880ad0cf8295f0f2a7dce369862243a3959eca3d55ded.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df6403811bae3154ac6958b2b860102fc388e3b8a981e6262a7299729afd0960.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df6d89b79e76e50d9247ba12c80c47d276462244cdac0cd2de5bac5d3f287ddf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df75d8d997f05c4ff7216880facb1e6bf88f1b76b8a4c573e8586b7577905ec8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df7a097b27fd68c830b253ec6d5414142d5fd10ac369cc2351837ce9fb88769d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df7d4fd007ca31dc113937759ccf7ef507dd7a5af79400bbacbdad73195f5306.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df847e469fc6f349e33646fbb2ced8e2f5fc08ed0794e5979fc48dec723b2465.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df930a54e0e9d6766771483ab4062b800d4b7a00b3e289692f7bac757e428736.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df9a382713dc15cb838d84c2aaa38d4b6f4d8eeb9fdf7c59e03082d3a6c0537c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df9a7833c278422dc9cbaa67ae8cad2d306c3f4dde03b696535b907d0fb4979c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/df9efe349be211073d84f23288b038e848bc92f6f661f963e04240350fdac8a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfa2c474bb4d991694258c40577e943427a2b87e9551fd75e504114272ee614f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfa2f41959d696d6affa278bd79ac0f149e76a6af6ecde41cd665d7164a994ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfab33fb239ef142b9358a026fe88fda4a46cf001c8433ed4e781efee4eb43f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfacaf492f173d700cbee75b0af54d0824afac3e664453ab1f512332d24e2c10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfb98dfa9637725863edce4276f404878fc4b4dbaf776df8fd3fb284db24b3b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfbd2d6b522b4bd4eba60ae59f8d9eb5e9f661019e1d07c1f23447c427219e4d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfc2412830a5a36e7b3b720ca87edc374d99ff8d627ab8e7467be1ac3c091fa9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfc9951fbbb9340d8278bd11e330560f54f9f91b791efd3eab3127fe95e4697d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfcc8689efa04a52f7c7755d545ace40a681734a8d639802e48abba2f56ce317.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfd026d9c95d4271436a959b1ea9e34589803f427417102f58a881876caf1626.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfee0f16c3ee51a569090775d458beb73bb0ce870a540aea7c9ffaa418100779.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dfef702f7478283338e988ba8ebda0d09879933debb57427256487f4f0374bbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dff4d5f5bba3dda4752ee87b3ae4ba8d455049ed1de87e20d4f149f8a4f28753.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dff51d81aba2f640885022359e7dbd876421b685c15c7dd4969e2ce1cbc2a880.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dff944ef50927ea8cb54dc6f99c19ec8eca0874d2de67c1213d96c31c6b99c71.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dffaf363458a97d7d18d53ff93af6e9d1ececb234153e7ae0ed998edef7eda46.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/dffd7db5344c3fcd99f8564218db18df3031c5e43bae7742b43d4b96b972cd0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e006b710021f184432975a27a44f0a9c0f8705ed4d8fc7c9c37fad7811955858.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0172cc48e622d98e9b995dd6ed380e81f6d360af3ab14ea92c199f0b6daa2fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e019d3addcf01939e86f378cd6404eb9a3b414f03b97c7b4a28f71999d4d309e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e02f57e3c14a4a2f25132b795d45cd0db8d419dd71c66b444604f84a52730e99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e03c3b64cec18040c4bf970a414a689044e81d6ffbed681a1bc84e3ee650df3b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e042744302e226a23b4921716a1523f37aef2170ba003adcdb608b29d50ac150.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e045af632ebb8ae2d7bb773c7c6a5c71ab6e80bcd1bc7a56acc0b942a177b341.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e050b196a0bd89d1e6065152fce182fb7d13db3ad8167d775e8645dab250994b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0527b632b1fa138d113b12a78cb776028e1ff0f57c97430a2f2c77130d1657c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e06395af691f4a2a9813e0cfaf1c7de2f84501517a44adcb69e91bd5a92a5728.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e066d60ba6a709187803d77dcdb0026ba266e2f6868af4fe885e9f7d2f6497e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e067e93c0c958ba6be7fac17c7ad28a6fd3f9b01e66fe9e08b9af7a2ab728f7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0692bbac7e1a6f268e870d72eba643200ed54c47c28b0c60200c7318e916259.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e07d82549053825ee1e3d1054ec0a5f40e2cb58c0fde77c71a5d434ef499b4d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e086ce9ca63a87abd5216deb489da3bec932bbd836ca10115a2024070b6ff538.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e090cdb62e547b3c60b081cac67bada432c5dce6d4bf5a5d3a78443f1ed83aaf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e09f9f26da183ad6e20691ebb7e7368b2ecb84810b4c1bb287e6f8fd08ea7a5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0aa1bc3fb2897d847c1d4354d5d236bf247c28c60642feeb0ef044b40e995a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0ac13f09de8520873cbfa96010631830187564f1ba2eb49563544c70c5b5e54.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0b926750123489b92b673f1f038ffe541a5e5401087c79d96b0df104c4b3bb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0c1047e56e2b3758ca4f54968e8ef5fc086801e94b7970a5cb2497474122a1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0c3d9ec192066ee492f88c6a81f3ff33ecbfe70057042530c4dfc12827c3de0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0d6c089afe9e988ddadcef26ed2371f54a05ac66903d24643ed27a14fca8d27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0dbc2a849c6d2cfda896662817ec87575e1331869ba15d4e8203fa4a46cf7b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0e5f4b347297d6655fcc4222ac126ded2ffde764955e1d5b26d277eee325e99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0e6acd62760c52c314f2f827c4f3904b37200b96efe75ce6bf5e7da5ad64db2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0f027cb50bdaf20d9ba4a1420ea4f15c483f70e808b691d68877361e4ce00da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0f3a209b1f514f6fa35cf9931fecf951c2359a2826f20817c65179b61992a6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e0fc9f24835a0225594ff8f1192023d9ac234fb0f84578fcd1573d56d6a17f75.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e128246801c495c78b270d3a62e1880790e57a5f03a73a5c5b92c1b1a0582233.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e12f0a8619c2f8ae060d82f9203960c7aba5f0d391ac1a1be7d71d17fc71caa7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e130937a196ee8c4f64fcd2c1db24c4a050d04786edd3441be385e01ff18d32d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e130cd41525f49e0338e75e18391d67403391d4ba6cc68e428d50b8ca98e36c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e138da3efb931122edcbda1784f4c125185fa4b401d63a03fa8f0ae0dd6d58bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e13db0041bf683105e051823207b1277e233e36fa965d71530a7136f24431fce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e147d5ec84baf0bcd5eaaeffd02dcdfba34ff1fa87bb814a78c952498aec5b8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e14a57cf64de630865923f4121ab8c6f760bf47422dae1e6a408d5067c2b9263.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e14e7635ce592d61705abf798c940bea777255d857cef487078d24fcb7b14468.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1592e38866671efab6744a51bf16e1ca4b3aedf689db0732c7b6cc48558c22e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e164d994804cc86de9916375df4e94ba7ecd15c9ac213a6299677a7398fc9c14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1660c84ab8283e402827ee485d759f6f9407616725329eb322ec8037ee97d1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e16b3a1c8439706d43116aeef83300526299e7ad21fc9bd86a2b90b584926aac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e174fa5454ab8705bfe18cbb36a9c73a0ac88ccba7bfb9672acf7962c8fb3866.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e179c7d552e4a8b369c33a5899e2efadd5a4bab5c8080214188a2956768e26b1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e18123459f54baad75d25af9deb6b29ea8e18591da4f0420f5f9d8cd8826f37f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1816693df326f8fb0f48d8a868d5c1a85cf89c4202891b03959e7966de4caf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e192b64734620242258d6adb0d3c76ffbfa078fe6822b72e37d7871d0640b642.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1938d88409e5aa28c644be0825d844c9e4eabd9e7b0f0a5b9e77abe6ee5fd68.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1985866420b4f4234be7843640cced782aa75fb69ee5dec62342404cba55d34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1c0caa6184c06ee5d0468ed3576cf68bafaaf8943cbd89f8ada9f82ea8fc786.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1c579e90d7f377a3838f4cd6883e236c82f9fed72b5a17fcb6909a350fcc035.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1c956c5acbbef5e6e56923c74ecc5e93ca43b6c690daa55b44189f4701d5484.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1de78c61013bb8cfd7af16f1729db7ff024a5ff71eba7314a59d2f63736603b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1e83eb941eb3455a32f4dea4a8cec591d8fb7ce102dfca8e19615792ec3349d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1e9336e04035cc2e5e0c5b79721eb2e538797a3afa2b636b23e42a78e1d958e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1e97230a15e7d28ad8ca126f83fdf80c8a399515c3944dbe5752bb9274b8f23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1ec63c6a11bfc2dfa4c6a984e3cb9f2e51120ec2686693aca2621279b81bc3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1ec770ae6f839d91a77890278b26cca64fb576db20ec7133f759c08e864c245.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1ed1cf78a1886dca924ed5aab2014c8a923346d7503c33859315ee8374ab5cc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1ededc05ffc4b0c6747665d730d075b253346a550242c72ae531850ac5f9f13.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e1fe8c7fd8ef88435cb4e1a45d55a1d56e57b4c0ce6cbcea8933b11902f445e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e203c51d0048155e2711bc0f466866419be9023b8c0ca9237857546ca0793cdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e205052c4ad0ba3cc724d3d0485bfe114616dcdc3c098a220166fbb378366cb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e20af2eacbbad167125ab4be4cc2d8bac457e41951e580f2dedd65f212627671.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2142205da8ae93bab08b4dab71ce2836a44a7b1f8e931470c32491dc1a04fff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e21a27eefac6b1a5d315ddb5afa2f70522ffb7a39fb8790b1f83d0e6ca867e10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e24442ccf9aea689ffd8d9246b5f523aa99832794d7ca3d46538724bbbe0ce0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e24b3171a525a295ee581d4a48e197600bfee86288b1958aa6247190340e2db5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e24b8bda8e08be88b1337e3abc2ad58e59aca46ddcf3db7bc93a9c1536d5941d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e24bbad2d17461820b21f1443c54ec5d586a05f387b1a3d39862cf003657801b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e253924dc9350d9d0013123401ecba254ec2cb940be58f807fb3441f3359f379.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e255c5f8c68bc2064f6e272a6d695d0147cbe8651456b1d233a13268e3dfc6b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e255c5fa10d6173de79208b8347f878d47a5664d0f0856046f7b9c25ae78549c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e260208172d32e228bbc544a715a9cd9d9ef2bc2b3f3279764c5e66491753c42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e26404d9a61ed3495d8db6fa0919a1b2b0e6c4c1c33f279220e8a61ac7e6b005.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e26ff91c62e919fd3609f7730aaa6eebb5e1fdda9294ad30e7abc0ce20bd330e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e273585eecca1f91cfc9626b36c7031fb970006e3fe6eb27af776bbde6575b8a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e27431e1eab29a92c549030d1e9efa49abe81cdd8558b26222b05ccb6d03ef4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e289fea8220727d7cca0c509550f80d34d66803317e73d598777308ba57045a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e297f557bed25ca759318b44fc9c32a1cd920550de2325e1fed4c559d4ed4f14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e29e4d25763a2aec55bf11fd87871b6bcb7d24a330a26061fb0b78a1d56b0db5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e29eef02db3150f81d66ef90b271b825f035744bdb80b51a9ae19bd11d31b362.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2a333af358181002cf4b1ffc5da11de19422baa92045df491a90f01cba1f03f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2a6f3b36a5750de7657fc5006e3894f26abf82bdea2c184b08c4f458ab9dd0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2ab5cc6bcf82176600fabbe373ff8dbf7fb637e65845725608809f07e3068ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2c02a1b8ae541722c45a8117059aa4023db1ec3eb4a0e0cee9f9f30ce50ccca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2c3616d23a761787ea0b1ea83442bd1e6e4cf04852ba6752f66e00f2c6ffa39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2c66100cc1db08e620d9fc94a92cd4655c542e92a9924687ead1675bb58c0f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2ce673304896cfb2e818c2da2c2bdc53341ffc8258780412fc55b751d978084.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2d1674612e190dd2b5beee7368909fe531ae86e1b0761a118acad6088cceb19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2d3c30807532bdd5726476934b417e0ca3db14f5f2cd006777f5862607c15f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2d67f754852e8d6e264a49b5544e02b5cffa499a19825ac3c107707c75d3216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2db7e39391d59517d326fe1542a86ee630dfe2a1ad50b0fa32a43a89b903e1c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2dda46f28ab5cc25d8c3b37262eef20f808770a017dab7bc48a4d081d014dd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2ddd99f3a25b9e6329850dff90affea3d92eb7d47cf10a7ed2e790f4e969364.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2e1f38f0e614d504add4d441efb96afe9dfb07cf03be84103ae6795bd1e0ac7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2e49b61d1a7475ab133c201f41fd9d3c3c7d5a19a2356cf0e808fd600484d20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2ea193b835ae0b8b4ed34b68790796108a557accd489437202ac67f8bec1443.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2f4abedf5b27ca633a9436217ea01e6dd11881393464f4d486efacdf79ba872.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e2f6d942308f2e588236443cea513d7aa559fbba5f606698c7d007d19798887a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e303a622132c3f1f3d74693aa54ff1e7d80c67551c781dfd2984c21742aed7e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3056b2137a8486763d983c3046e6a5a3ebf14a84fee8df301f1747a6602b5ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e30fc354f6b4fbcafae6f0dc3ec440f070202ddc2021b370c343cf483a71ac2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e313063af186a7529f3a8fc67668776c42d4af1f0c5397f38dd2be11fc5f78e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3148638c1bd48d8c9b894b811ddd413cdd5ea085e1e91593cb58680737399d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3150e59cc6eb35ea991458909fa3196c5949f3c5efec77b186123fe44fb41f5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e322dee4a649dd9f6d9a8ec5f735ff0e2dad6d7623336ecac5c2ccfb444a60fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e32b5bcb1c9cd5aadd5fbab9df3c04391d89e28b74c5f32b63e433ef07199ba6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e33f38950b3d02be0c4d7acf19af61fedd1e9a2eca9dfa0d924433a82e946f5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e345499f5ea3b8c644b245e1ac744e64d3b263eb5dbf6339dc97d3fd3fe5d21a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e345ecc98a620e76d315cf55d421844633093e1f6b71625c734a80f6e671c3e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3523023f6812dde5fe35271c61010754493cc6f94e1bd94a7fa674821dd622e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e357ec0764d10576ced2715042853914eca39126aa58c8701cf3a8c9964afca0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e358997621c4a541ffe9510aabd1761407ed515ce7d651c3a82f68d81d6d2f44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3606634282166888fd70526b7bce59f8b8db5cb75348192a724bc1884a768d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e36085a9e0ed4e8426ce50bb5e28bc55929cdb8a228a8bf2a42312f4f2044721.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e36107b7845c280c710ed2c213f29b3d3fe587b28764f0a9f8a7fdfc4287c063.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e363e5f8f89471e692e362681563f05673c19576e515f3f516eea561bc741060.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e36b4ef1631428e513b136b6dd9f56b3285f65ba872d4f68a36212e707c469da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e36e526ad3353dc4997eb256766d0aa6e66ffed4d9b229ed55977c764ad755e5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e36e941b51368cbbeb21a986b58d7b368bfb8763f121c351f618f8efa48b351e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e37362c9f60febcfe7be65e903f6a9890445dc1037247f8393f45124e091f960.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e378dd3d78d02ba390cd122228fc9e41c20d1a9e3b6078a8cf4bfcb1edeca184.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e37cb74b2a6197d0620f20daa9bb23645de75c5889fa2f51faecbeb44871722b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3800bc3d070cd2f04fcba5a0a0177228c3a438180d5a5ffc658ff28e9cc5753.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e382592a51d7064238600f1ce0fb4f7ecb7e9b6255a48a15cebd02f59b3d064c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3853fdedc7709e7f5383fafb3da8d8656e32e199d6e6f642945976993e47203.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e386ad6d1b188a2133c36b40bdd36e8087b2cabfa791a5ece78ffacb7f0f30c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e387b7c29e9816ecb1ae1fe3b6ba3902e77544710c4de73bade7f92c16f1dbe0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e39c39943f04cd72e1511de5838255751e207de76fe0144af4b880e893ec3e21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3a08a5f8efeb220f37ffdc7275220edf9bd882923c09ef4a1670ade8a7a7672.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3a17308bbdd0a25290b3bc9402ea0cdbce1b3b394e30b8679f711951205d488.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3a252dbc526c33d1cbcb3214776c06fa19aae563d4a0507e8e5aa48f73612f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3b89a2e6eda00788f0f9dd3142dbabfbb2021a28ac7ab5a0abb0cfc7e0b6315.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3b95b59624798563e96924a082a199bcf03e223b7151c9906575debe9657d17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3bdcbcadec74e185d7b7ee587577c72c90ca779574562b8251c2d6add93a699.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3d68d193698ec34e039ff6eb0d6aa6abda4bec8eed923515fb841f9a4306877.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3da85550b50dcee416fb4552037aa8c11a8a4581bb3fb5c8037e89915cbc62b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3e650062fbe818f8b670a19e26f53d51eeab6c4999696ca1296397f5a5ebe0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3e84feb6988f23fc1d59f437b84cef6e5e238a5039f10b11eb608daf075b01f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e3fad7614e4d997afc4bd19512b067e12bc6d602ba57128c19013df9b6160ba7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e402cde1ffb2ed652e8bad6ff179902c786cd93f58e377d5112a9d962dbeb13a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e40d0e9968818211445bf31f9318ad26489d1d074a61d7f88c36e8e1bb2c524f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e40da31bd7d4d05ae5acc49ac3de7c32357275b7861c1752eb04277ef3b5129b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e40dc00ab746317b3435826a88d61411711ee02eb3c2c266de46e104d9ce2db8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e412f62a182435287b9a14f3697ba25c48062365c77a420db2fe0997e486812a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e41936d3c4816019ecf414c06f43369d74103afe4e76b6ecfe9b2b9042b2d765.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e41fcb395aff3005d64b182d8698d489af5586b9b1d43262ee8b4ab70a331ffb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4201a2fa8e7698f2ad460057720cfd10628a6c33ff0bbd8db6cbc3e5fef0a49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e422d4175d8ba5b7832f068bba213ef30fbb2410963d8907675eb378691b3df7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4284d5a2bec222e5c7f3688e0f69997a5d5dab999dca3181a36aa66c4e02336.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e429d64fe39564187f20cb229be59b7c3499d9c2e0df0b0ccffbecc55fecaba3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e42a837fb27e3c9875d466f40b1bf94423bdc0895eeeff56584c144060220938.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e42df66ffc15fd9063aa2c67b0f5a5ca74270ac5a5820ea459d4d185831ad2dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e438712d24d5f4b87aecd1a29d43ed486cec523f63aff9b01becf13e2d6df372.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e444532c94c7ad3b655ba2ba713a9724319929a518d146e3b130c8c2c2d2ce5d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e44a3243a47086698054b95f02cbd264f990918da7c079ec1a19e0fc0213d794.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e451e593c012c334814316bbe56e9c0b57fe03c9f804dc3eb48b29de9c9a380c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e45729cd52855a5d82da6615cf3134fd9b56a026de100ee7bfe1ce1a56c7b220.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4629b5187329929b158e08abc6105f3884cc74a76fca6b569783f50bb59febd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e46b4dab748fd7b5133449967ff73f3a5ed52d678a2d4ce0298792d656838c11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e476b67b9d1ce0ec578c98dffcb1c15501c88c5ae2ee48803972371f2664e498.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e47a78196848b0e4b0879763192fdf605358096055e99985329657382fe52f7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e47b7ccf08758b523662d3c392b73da8c27b5cea6c1e54a8823dab92316accfa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e47ce1e66e681531fa4b81cfea4df606833babc0c47c825deeb4c68085729f0c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4852a4e3684dfb5d8ef8bb010824999cae34dae6137d83602e22e388027ee65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4889d6f8368585515d60e7d4ce2737d707c8647fdc95bdd2eef0f3ec29b5e2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e498b4456879715eb0d6c862a7e4336994f39a18ff23d0ddb7deba52934b3f39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4a2e657f323e322de3465c5c518b66848e33aee1512881b8a654a1721747fd7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4a3d5712e7819185b74cf6e39e3c84d55eb6bc913719fb8397dce77922f9715.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4aa44b727c1f8b81e82046787d1b3e86d9074d34ea90ef3af8fa1b0baffad42.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4aa544ad8909d60e710621ddf9feb4cd5fd1c940e811f1cbbea927a02c90d40.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4b38300462fb067ba7e66666a3c30172892c575194c174018341ff5bc8c124d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4b3a33a3839d9c7f6b60c91070eaf4e44a484b5997808b85e50a173a9d8d6b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4b51a1b269434f78d6761618f35f064665d86f07dec1b4fb3eba4b859da878b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4ba92aced289569bad7035912d9d4871d3102ff12e31a3b5caac66ac67749fd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4cabb465c67d2b8c8ac41b53c7c179fda4a9c5080bf6c307cf4af021f099a86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4cc0960fbb1e2b98c6c44b3ef9a35f6d60b30c33d1feafe7258e99b3913cfa9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4ccd148799962e95e606ad159528719cdc9d14143169d808a2cf69cc90426ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4d705055b4a7f4f88bf85a26c77be0b28f879ee3c271a330befcdfd215a9a79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4d926e854f47c031467778deb3e87e67212b216614e9aae536f90fe8bcba7b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4d953b7264f632ee71883acd78dca555ca448c14240365fffe22653dbc6dc17.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4dfa1614637182d400b0ac6abf89d1be8664b277b9bdde5629d21513e060228.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4eaded9a120256e549ed4cdb6e392b82845620e9e0fbc095a2ce761eea72afc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4eb0cffef724412b5815ef76824d572a43a3f35027878f9c87ee3d7df88e58a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4f46feadbf2dc6a4c6f2ce67178b67136c3dccab93a577ae1900f1311e50c14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4f67c1144a8e05fa75a9e602354ae355faa2783baab5a02cd4848a4168f0986.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e4f6c9cf1da1a9774db714373691bf9c6032a3a42fa760c5895822d99a85b087.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5073d4a41d2a4d48634d62494e75bf1b90d334322160325ddad7dd8ad3c73b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e518704f79053d8e2dd0f883c8fe9a33e156ff959aba8785f81ce1ad03196f2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e52d3fa63a27ea02966524a1c819f9ae1e8dac5c78439a44f52e77555f025510.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e52df40133b6725e2e4cdddb621f7c29579ba4d7292e822e896d6780cace3919.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e52f2017c1eabb4fa67a7f4a0dd6d07988e045f028002289e31adf5772b0f9f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e53ded6a8af49db7d7afd24ef0d42498daaee66ead8c0633ceeb62b94dde2646.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e53ec18004967916fe354e998ee11f3841911d7d6a732bfa91563b5db03c808d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e541fe1d2eda8cc86a0d87476fc81b4d8dfe22b506a72d91595ba9156ba7e360.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5432028de830d0c53838b4c28b6789e19cec7faa9dd464282e05cd316c81e49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e54ac519b2b8fea06d10c97bee00f1b10a7f6272124b316a81a24b84d8c02d64.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e54e6aab36d356f5b263bd46926324ee7f61c63f4692654a81c242e6277de7f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e554093d87593a0406164a3806bc8e2d91c853680081f8bd65c3a6cd7096ff5f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e560666e234b89b044a6972f18e232ad42c87b5de88164049cb62a072de6f9a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5636d4c7388b2503a3ff09d7d253846f0e895609c53457a32cc1f0d955ede05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5648feeaf4c1170387bbeb8d2bac46576e6779754a129583b2bf03c0af56a5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5677d17faa6175a800b2203462f82522609d80f595e5b82f1e304f730f363af.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e56a7373f61b9f928015241481df8f49a29baa66ede49956fcd86e45d33fec1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e57141fcfa159174be612943fdcb545d73d45907a0fe2edb4349de61c9da85f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e574106ffd749f961bd18e77668ade7933cbb1c1a2ce5dd5a7b511c0e1ea8cab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5840cbb3c138a73f1cba8816c8cd6b32b9ba8aac30bf2ee4ebbff32feeb608b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e585d8955f3c3b852327b86d86ce74831ee99692546298755743fc8c08db5623.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e58d5c1d0a6e49ff15f612d8369ecf3e9a4cf9c019b38dc2de5beb81f5e01d90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e58f782cb73e8b2a4b74f312eff09b09f257e5e15a5463735bc0ffcc34d089a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5989777b588a36bb17ad559139444b472bd81ecd335b76a2755c3f941c0b052.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5a13f085ca8667c0eaa414d5947311c7b09a5ec4761143b604429b868517a38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5a837bc5c8f8664ca723b1484d2061954ab4919acf74537f8ff46e9cda39a7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5aa980e1131dfa0fcee5837e1491b2c03ce8da232bfb2299ad4e245dbf739b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5b53644e34482a72e3e6803749271a119ed3d2b54ee1621648207fa2ab6909a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5b6b700563e4383d946eb74a1e8eab714f89e829eac3aa68f53a51f5ecc9d06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5bab2bf87462a7dcc1f26771fbf11f75f6af438152de3addbd5c27d60318c16.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5c87d543a838749859f09aad3c8a8e227cbcd401161000e1ec96e2d7ec8606a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5d62fdc5485f3de8ed3fdd404f4f425cd726f2d6cfe0514caeac33a89ef5251.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5d8dd984b806a77ffc44a6db4bc7f123701decd08677ad07349ad52da3308d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e5f7222cdfc31ea37df7b4072c7454a60151e702d823cb507c2121849447fee0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e601130be2e9f01a55a13d95f2dc07d2f34bda03efae224a5e514b1def8ffa05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e60bb261e2d00978e80a121188b49105050d05949401a2b6efc2431fa8aecb15.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6118152b03fe0bda47c109c4560e7a5a47a552cd1c40b88ec57e3183fa174c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6145cd87723e3c95807910d1d19838d3b9c571ce8bd4287b8a3a7ad1699b99f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6158cfb0fb1267999f1d5497ae7577dc01a8fd9394228ca54e552ce95c1aa6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e61707e039d3838564ef08c76fce56c0fd0cacbee9fbe41f425901a100c0d4c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6195930ab2de206b450827f0d09c57afcdcb8205945377a23db29d5d4443f08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e629f426e99ead4b7af2cb726ed2dafd15041be3253e507e26ae349131859cf5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e62b1066b5f9abe93c2a810bb8c261deb65cf388d434120e8fe93669c800e684.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e62c3b88563892e37018dba7cd312969211af064169fbb1edff802ce3831f7f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e62d1f4600b375456794f25d23a8f15317039df28a13892cf2922ae84b3fbeac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e62d6c99cb8db1e796b9b54c616f111b80d2a63cc166ea00628deb967b4452dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6312cf4c7ddf3f6418ce3e4712dca89f8ad42440a950a2af01ac1654985d3be.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e63491e08faa069a82a2bd3cacae44e81160e27c10ceaebbd88bbf5a42ff967f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e647614bc8ecb81adcf08335a032ac1494b18d138146a10062ff7ff90e017c7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6476d239ac1662d5832fbd28e098d9f31ee35d2e3c72da7df5f44e3deb31b0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6481d8874239845839c4aaed6a680feaa4278f642b64fe87d91a10a967b64a7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e64d6426f67cac6cbe2167dd05a6739ea7c8ada1b0db1dd696a4fd6347148801.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e65074dcd7212a1ee9df15ab0b6a40d80f834a3789e66ee46a2967f2aece1e3c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e651111d5b78feacc862b078e54314c9f16fdf91b2f50a138807379144c620b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e660f2f472f6095a034d7aee2edc91071a99368dd65190cff873901f88b449e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e666be714c3add0d71c131af0b21206399197def0e0153bb8cd879b8c709f2a5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6679ed3786752cbaa0195e2750ec67597959b90023fc8c8c516f6b7cfeecfbf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6699330e382b4fccc39559a30908fc20d95abfde60ef2148bdc82739d55e9ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e66ff200a7a1e1f1bef83cfdb11e999d203b1401e521e5b0e763858797ebd310.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e67d04ee7f644de05be125c7cdc0168ee602072c9afffe2c57333c1e8eeaf9fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6a1679072977f9f238268c4ff19285d5a18cc12e281555c00c19dd264f3b2d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6a5e889a4ced64ea014d829ce8fe14d52be504ea1f36aed6941b287a7f04bfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6a8eba3ef0f76892139b6f2f0b5315980b127b015a35dbb531e28a459d0ff62.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6b754b108b6890ae8cc9c8f57c3f62b056f48b64352e79115e393b1bd677f1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6bc788e7ce32685f85ebf857cb7e0d3fdc8f6aef19d5bc435a3024f0b36ae5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6c8ac522cdbadd5eb7ea62d8beec6b80e40152b7e091776b8c1bbced87f9f78.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6ce79fe0f7a90cde0bd082ed8d7de7461a45157d7acd8f61794f5a126340108.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6cf26993b166ae3037572eefdd523409f019476c006017aee8a48354f65423f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6d13aec4009807725114ade090794eb1f7a12b66623629c52a6ff21b9e8067f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6d5e2ece46024587c9520d0f7f4d76e3af1063e452b268f572e2671fbf3d19f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6dbe5866770882b2e853299a3e9983d6320cd0d1a1c209a8a646545a4cbf221.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6dc6ef72f142f0bc5349f9e231602c109ca96002b334138b53017ff65062157.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6eddeadb870347bc2961de0713c6878ac8c45852a9f4ceafa0702e353bf13cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6f4cca9d359a9e123942040e7f77475f64a722ef3889e36b6590de53922d735.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e6faecd5a51840223ab738c19a2930b7e9280fd5b4533d41c701687e87baddd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e70525a996ffeb0b659110ae2b40064a525b439b1768e7b62fd1e51fde3459da.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e70b34de44cb88a7ad6feeaf7f2649d43742c4f76247e9d8af8b3d9a45a441e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e70c727d2d2b997f135017dc5cdcb386fc2e2bd7c8fd62fd0132e87af4a67ec4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e710fd3064b462456dd6648454d1151141e9a79f6380ee99084afd2c4deacc8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e713acf5e93d49784c6a8a2b5880d4e7d6e20103483db3062a039875bed1d294.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e713e92e1ab9c238c6c35d82276d83a8f077598639ab6a77917e9ddc72f75002.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e715e234f22965aee563b703bf84b7fac91c1b9e24c8011f2f18ac2b86af7acf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e72506d7b95f8927bac28bea958c57db37b70c1be877c3a9332132616e98c932.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7377d7b01b6e1af471cb201251b047be320519ac969a59ff0293ab8a93426e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e73a5115bf9ffe96005207f125535b12aa5b75ad9754cd2522e0500644877434.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e73b22c310c407cf5e8054d9c5df70c582991d781381b3bc74bdb70a4a5ec225.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e740b2aeaf8ad263c29ddd97391de772a6f989afd9816d268dcfc9cc0aff864b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7484f406e17ae523f232c2baa47b449e54cb2244d7db35c98960efb2d3f7330.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7548c06b563efaec37fed82ce467eb01fd1f2c6737a379428ce36f185e6ea01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e759c32218fd524428d1cf0c8ec28654e2e4c17f376f9aad2168a25efdcc1e66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e75ca23cbfc8f10884d0fd9b4f4d8d1c81bff24dfb9109ff38324b3ec0948b20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e766f743e622017a42462694fc0e032533c2299ee3c3af648d5529df6a587d74.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e770d999ba980f7c96076b6bf18ab8fcc330e0d2b54699e38813cfcdc38e57de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7738b2a26330c4ab526a3f4ea31e643a1d84d122a8fff5bb5df95ea9e86fff2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e774c117718fb250c0290164f7540f1f7bdd2b4caf24dc600ad8c63701c85660.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e775bf8e7a2a6c5cd94a4f93f469d53a043322d7306a56078a52f540ee63b631.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e776086552f3f85050eb9a26dd22d93f5eaac36b113b0f12b021216e7502f403.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7766438bd9d12977d7e9293301f081bb8254186a55e3d68c90e6c021df5e6ff.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e77bc00395d9892ad2988018b0f4ea096f4b763d667bfe9eb928239e152fb9d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e77fb8e6284629b223d3f031ad5e40dd5613ddf3b28b17380edd39e8301faa79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e785c1301a3f3645884922edbe04dc1d9f09db54c1ec7f522b6fcff4e65e80ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7861803a91b7bc5f874978e4226fde98aecd40336993353a834136aa5654ea6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e788b4f2aa2eec95a481c65175d6c0a47e4c07fa97f936eb813a0053af4bfbda.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7892dab9b66afba011619067d2ef0e8cd7112407942069962c5fb7677e5be02.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e78bdc71372026e77ec40299a6ec4573c4fc1c746ce9361c4f8e7ebca108e0ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e78bed069d0cb86f39b623f29da4d7930337fbc981459157ab0e739070031fd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e790f506b9415e6b716a20832cd9eb82499b5f35b0171883793a4c582e08801f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e792e243d66ccb9469629af7aa0dd65cde155617e0579014f847d9b7bc9b9a08.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e79524fbbde48f8eef66e31070969901ff1258e67ee6c9b95246e985da1888c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e79743e6264b573ba00efd7dce0010afb5959c9a9fccb09254c31fd02efa291a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e79b230cea1b0b05928dd8b371f0bc192fcae8db469d0bb7454c4157f82bffa5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e79b7f4ae1b243e2e2fa53b69f4e466bb66b64dcf89452de1b07fb473dd79c0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7a8b3aa4ba6b4a484c7058014bfc283e375a2f23a6cbf08ffa4818947bfdac4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7b1748209c01eeb013059edcf1448697bf929965ae990f6027770dad78a682b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7c4ae84d972ec6f5b9ec074ad0d259c9315f8083709cca4305cd8c8da8db8f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7d39adbae337471de565491c9b9698cce7c320c75d99b606d569a8e7720e934.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7dab62b421dadf1c1b331475e3faa7614b9fb1cc21cd29364aa91fa0b7e6ac9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7e25f763771231d5c79c21e4f7796ac80af3faf5774bb309479415aeccdf6e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7ea92e0ff0e8781d0d4334f40cc4abc7d3c5e1610d963861e83a7219a15488d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7f112baee7979e83f1bc862b0d74835c5b315a90f3c11801d4b6f25c8da505a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e7f572cbe83031c1d331b74e69929cf1d3ba9b66e14d4dc52df1343ad1a2db20.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8039fa996106b526b6a278428ced07ca6172b36d83c236607d1a9f075ca0c14.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e80ce10f4287a40e4338cabe5800d8635a000614cd683201495c36577c621d22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e813bc8e1081e326ed2c13f6bb2ef432073b245111de4d48a8e4d29f2f3ed1b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e81b1422539f61fff778f9670108f3cc447f39cbc72118b695d43b13a852aa4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e82088ac5d0944d8b310da80c73f45140fd294e6dbec5eba60233dda7ee4cc22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e82411eec9f71b5b13c495488f0fb955552e283a3d1f2a381ae34ea962cad7cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8244e91f362777ab1dfd6e4e9e38fb798a841bac75622db8016352927f60b36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e83b1fd3b33472112e2412e73ea8f8b2f0b6aba953c1245080cc60d0bcc03782.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e83d6c0b8f4e7469036852260ea86405a888700991dd223bdc0a83772e5a2950.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e840a1b0ad8efb515102b1cf6dabab437cb0b646cfde88d915d3ac22231b80b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e840ae4e57b2eb59c736f91e31ef7ecf3a6372733eac4407347bd58d6e7bd248.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8425be732c07a6b203d9ca8419184baa2a640916f47ec8d050528aa1e5674f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e842bc6b1748956cf861953a7ed5a62ee4c4b1c10c9e960d21171c4e761d8ac2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e84a924a6c00b1ac9f68dcb35188db91370ad2e507ad2673e102b8f12d7ac8c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e84aea1bd3f4355077df77cf9948a09086f6fd1b54ffbd4821f1edcf6ca2fc60.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e84fd76ca42ff75027246d65c9058844370e903b9b932c1d6273976d9afb41b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8503eaab3fd3075a29b24237203b32403361e011f3c05fed5b3bb38f306ba0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e851397647393ea44472d6aff000f33f0743a51fc386fce983b34ce915e1ea35.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8583a7a88f61bad4be072482b8600a93fa39dc33e2a00da381a46dd26424ca4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e85894680c05a9f7bddce070edcc5e47389667e9118c9287877a926897254248.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e85980e5b6817f3050c7e14401eeab72eac8dd9bf4cdacbe8dd4a10ccd43ecc5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e85c66c2d9691c7bc2f747f254774d3c8ef7790acebf10f62a42e54937e12ad2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e866bf979792b19ea46571182898e2e6edb99bd9abd2f6d92ded7abc6ce8d247.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e867a1c967a32c5e44c856f2fdffce6050d4c5a59b97f9e729083f70257bd2cb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e867feb057ad46b0f943bc3010b69b40cf5cc7904b1dfa9159015fb8a0133e56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e87b0323c4f46af04588ee45e24950f18d3f2b93aadeccb7e00b3c7de0e14053.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e87d65b512f62e1763479daab29ac0e0ad133da148881cd46ac860079b4b78a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8801b0b715a71906635ea08483b6f6691d9b94ffa482da94c4fd4a0de2b4967.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e88a37db0e1ba9640f6ab1babad5329ea98df6d5ac90ab19144192b7d3e0b6c4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e88f4aa076d67dd8b6df659b5af3bb3ebe406fb267ceb1d1dff293df9ffb4edd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8908f23b25f0f36125061f892552cf7cabaef0f579842523d33cd658f81fe77.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e892019a17537a38074ae6b93ca3b3ad41d9e2b13ecf17f32c1dce8cab6847ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8a063aebfab88b6694f4b3395c0260dba05216ac05083734677e7ab01101010.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8a1ec7edf5b3d9ed721be7eaad59e5ce914458cd96c5100a7d260c8ef3ddcf6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8b0156748554c1271e7f4d7a8acd90e51300ea41f546d9c4ce6e7e4c7c852f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8b6e3906269efa86c311f841d4f90acd7cce10ca5d3e22ebd56041e8983795b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8b7f22aaf2f1cbb0cb5b844ea1cb675d74cc820d36f23f70152700d575470e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8be35d1caa6d4deb4d27176eae8e7d18038cde969aa1c32f67f7777a1971230.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8c239052f33d4eea277c5d1ca771f320e78313456f284029ef54c79af36a697.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8c834ee80e0d8b1e148227c5efad7446e4b4365e253e32e72db0410a569116b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8c8eec7f077ba8fc84fdb2c7590588510ce866868b7c6ef452d925001b99117.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8d9a8c646d99752db1c893cd8c3f5b97a49cea32aa94f5f96803b16b208b19d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8e3a25d4c5674a70856df402c5607eb6b4945684bdd5959b70ba79e118836de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8e3c6881e325351ffba2cf68226fde9826eb6eb27f917ccd6939e6ce9764fdb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8f1ff979b6f8c75531ce7b738b5c3b4ffd8ca6057fa17fa6b1638a1c9b8c49b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e8fe5b8eac6928359eea1872031be0274f82d3c3ae423443f20891216ad4c288.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9130a470f45d79370388aafb02010d8d5e6dd1bdd039847f82791e26e384c90.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9275beeada4f5252095995ab5d97e652879f8e2ad0b16ad4e16f77aa5da0284.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e92cb74600759c45738106f33ff5b519a82431a6e3d2db0aa0ae9000839d00a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e92ddac1e4ec162b27253931d1e93c302b3230281b53fd244dc8a10e1faf1ece.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e936dea5fafa59972ea40b3d570c7c4a6cdd567cda71eaf242b2838db0692897.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e936df6244f969d4554af5c78b2d97b2aeff055ba93e238704c3fe2d1a8c37ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9421713d911ab892805a8a805967079a1b3f97a35d105aa1fada64162214296.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e94c0e06d532212d86013cc162e7db4c5d0794634e10a83add6c5facd9c2ae00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e950c03f894ec67770d5335c8147d0f3ec6b38316a8ed54efef106d704587a34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e955d3f09678995a49fbabb5125a29cd2a445080fc066d140a7f354dd252b988.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9610d1b29c69917c3ff25d4f93f8f449c3a32973a94428119017788907e0bdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e96417e22008abc61ce265c9e53933887d1609b9e9fe86521a0756aec42b2109.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e97114638100e93e3455824295620bb25bf3f5dcd86a07a9718ebf261e841acc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e97630195313fd7ee9f5a5529b8b9f56ac69c2218f80a063da23c46d4122ee4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e97faa02a18fc5a7876900b13a0403738c3a1463c647ec97dc5693ac44edaf53.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e995e72f75d1b9e630070ebb21da00e5ff817153fc0700741c0a0b7f0cb8adfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e99d2ae3a615b3a5d6d43b3169f9e1c658602536822fe98d4439b6c446ff5217.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e99de4bf56174e7148017f5316027da74df4716daf38b8921bfb1936b5d6e372.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e99e016ac0b7c6c25e03ec67144b7e4a05840ff4322249e6e895066823c5754a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9a29b548773b9b092b3e6bf90b359379e5593571d81a76b8d27d45b50a63fd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9a73140d08fc91e296577cb80d2bff799f2ef954386990855522457dd3f8a96.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9aa8db1a3d38d480ed21c5164cb8daf5dbb0aa986b33078ce5cf6d4cc9888b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9b2aba749a9d736c48a1e6675af5dd82758368f35c236a1af988dbbce5606ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9b650562dbf68426b9c913147a83bc0f66d6d476090f957d2d580be68e591f8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9bd130d9cbe5f31bada973359fd2f0357abb1b5b5f8f34c23b53eed75be463e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9bd95744e184dfbf7348dc57c501a099f07b97ddb5a41674fb7f323d449c3d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9c1092b1d4598c3b8db6642e0222e568bd3992dc9c56545ab7b8cebb4fbdcb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9c156763d66030bff59f19b51be8ce8ae068b35ceb3e3ff5efce60fca27a595.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9ca9c411fa314ae657e1c5e7f20bac4c96c4070e8a51b90c12ccd92d700736e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9d335ab298ddff9aeed8d99b54a99adbf5f554ceb7d99ee15d8c98154b6699c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9d529b1f66ba6346c66b8f8faddeaed4a3a985f5aeb90ed8d11b8e91f0c2e2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9e672b4b3f5c77c902ad52419a1ef8f71d8d1462fa8932bf1d67e73ee5785b9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9e84041045322d5e4367318301801ddb6040f4a7cea196af36704fb12837e81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9eed1867846020c0112eda76d601edd3d0dd489aaf3c50fec80ada2775e9dd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9eef162ed417aa991ba22bd9a7c7c78acdfc2faa354170681fd4db7445034ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9f69d1fe910821de718e36cdc692158875404ea2df48e7aa475803ae1769eb6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/e9fd407e84d5c05b0a5cb8432d30eca840274986a27d672182fe75797b1fccd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea003c5a0e60d2bcbde4cb9f0ab944f76245d64c62847e7646ddd36220ee350d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea00cd7f76ea768a833d43deaa117b275841749acd6325f6b8b28e833481b759.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea0180df8dd0cefeb28cdc86eefb9cb999e0f32883eeb6a84005cd6733451a11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea01e123f1703790439e0d516aadd7a97f9040710e860f317a392318b05e9c23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea1fa6858cffa7a04778db435f90e42351deeb79f5a0f44e88c071ef1c89c1b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea21c974930e52eccc11266a0d9d8ac1c00cb0dc317705a7786d21c37000effc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea22b2191970d405eb812aa49cf0a2053bd5ff9a3f86ff1ab32d149b17e3cae7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea25f42071ef5ddbba4555fa2e61425b7898029ded8517c178c3a68a6f31f9db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea283d9ad220cbc83d91f1c87ed3ca4a706f9d9e9787df566005052f9059067c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea28c563b25583a08fc31e934ac7c460fff85f5bd1417f68eaf1f21ce7b7965f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea2e768a0182fca14bea68db4f4c2bd61c94db05908e4dc1cf0d2326f8a7d876.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea307418d7ffacb7437b4da25e2d2b4e397cb12d99112d0c1c126a1dfba0635b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea394bc77d926a90826b5baa489ae8f8d035313f117086bbe3d97a9cc6bae8cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea41497b1b8645f742060c029ef2ab16fc0bf51e37db04720447d890e569c249.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea436aea89a28730a2b43d73d8c3f9c5d634b76f8e83d17262c4ae4c35b18fac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea463eac8612826ab12326cc9963ec40779e541cb993cdd12f0b18031559c87d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea4a1ec7693d7c65ffbf56bdea07eb838ce0816092b664606b500360b4da4e44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea4bbadcae7a28bfc2b7a6bc762570b9a9b09922c58adf314635683ca599ac97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea4cb30574fff2cc64e54db4b276fd4886e477deed4afe96618f027ad69ff84b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea4e6c45f5c228a35e3170b9d08819f43fb6570d64a9f15237655524026293a2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea4f6c70991624af7b9bd614d88cc2236abe0297c92c6ad9119c657d096a139a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea5046b9e08bedc08a99ec9c43da78c63d128ad3f55425c27b219eabf24b632b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea597c642f80dd150f6b28c80193ee56469bb3bf45f22e1ce34605d828683047.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea643786d1f5628e6bebba58a5ab4d9ce223f29fb6cce731fb5a6437c981ca50.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea6aa5f7b463134754ba3a64676c09e5d9dc42b35a46a156411234d55b8b19df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea712e5482d58c6fa0c0ccb39dd67fe759822d2ea2f7676be48300fe097737f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea72fd8a8108f0446ada60ec46d83bc47643319d235651a0fb0b129b4550c976.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea732bc8b2f7c94d89f9f4b7169c9004bc45380d0f04cd2aef818c2280433934.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea7338e137e782269b04bc1cf83912273382aedfbfb7229c8fcc8af38f8a1aa3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea736f15b1482f681e292eadc2947130c79fee2a93c4da57abbe6204d200e8e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea73a7588cdcc8d10dad0dde718e453da86bed524ee91ec7635e64fbedf74dfc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea78432ac37e8e6e5954c821bff3eb3be670da1c84c383a732810fdd80a98b11.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea89b6c9fcc22a80d0431b87bbb48c3cf44ccf026bc78aa70d1b4bef5e611cd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea8c788c2dad04cc18a587ebf1530b0666f7b7b4ae320cb4a92b1eb9e2208082.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea8cf5c54279d33f645584d92aed093061bee564eb0db7293faba87a63946cdc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea9224c8d94112c74dfb0c7f76081e8df1ce4a90067dc4f20594c35fe5b348f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ea9bade89ea0a3d33c4cd8e3334fe6aca462a4943742b5e31e887c064062d22e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eaa065423adf629e047ec5887912e341dff2a11c017d6016e594330badd26b1a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eaa6776697d7b7d37a208fe64bc3026a5b7f499f69b0916f97cce769b5827f92.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eaa96c738047c27dccfdb91e3325869c200da4bd637745ab911019f146260450.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eaabc3dab4fe1516f27e6dbecfe70efa05974660450993b74cb77ddf88e76acc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eab2a63253e1f470b00446678cd44a6fec2163fefd1f105d90021b2854e2534b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eab63c327d21930f6b4fa118251a307e8b70ede537ce515418f307adf69a5151.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eab71c4f68a90857e5bcd10cc7a4e6660b0d36bbd0572ca97d96cb0fce3400f6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eab8c07b31988ff9b830fef3732f99e40e24b85fc0d73c0a532d91e3cefc58ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eabbdb551161fc77d4bb5c3c8180c98406fc7017aa2de1cfdcec73fddf1cd8ea.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eabdfe3700e26f8a46a8f40a2bc62347cf82b7a1b56a9484cc5382c212d4710b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eabf513384bbbfd3821bee2b0c9f6183ad75374480dfa78b8f758c1db0528a6c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eacb98a28603076d1242c98fdc30259771ebbb3c25bfe3ed49ae91a814d1df09.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ead2d8d3da05664c1c1127bfc70d0ced6e7a48ca53666fc810a886bbfb02cb88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ead5b862e7e4ba313883a3fa11247e2ec31cfead7f4cdd16d8147320b1626c07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eae3b85de78a5418d76877d7c49d5cc34c33c44c0e75b0b4c65839a35492674d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eae64640ac1d1d529e541f2bb27a9ab1b5142fab2e7c780f607ace6752bdf061.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eaef6f736d4d2f989ce3a2a947eca55a0d6f28b8aee39cbe30a75352ad284620.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eaefceb64e0f2fb28b86b0d70606fe44ce3e5ecbc0370a62e5e6af0d8f15208f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eaf698456e647e5745407295dd041b3cb6a307608e781f2a09b223ae3396dbb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb07ace18794db22c6ed030c8c2e1bdae1ec55392dbf1b3437070409c8566649.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb13338fd3cd85d256078a2170e074794c18578267afb1b57edc5189400b2904.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb1b0461149ddda200493c094a15f78144d18843521fb3f315fdbd1e7f15faad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb1bb7132e47ad7887b3914d7cf0d2cf7cbbeb29bf3c7f2468bda7cdcf81fd31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb231915168490360fc90c6f6aa13be848445b43f16b0ff6cc275f7b1ef37e01.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb2480d58c9a919508e4a0cf33926daa6b564e581b34579e03182b79448d62b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb3707d8796791df7105d1c6b2d37fe626322015c704b708821dc2132057d3e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb387d716cc75982f93703fc314fbaea9cafe0558892a520c4943effdac1d780.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb3abfc6046f89f45aeb14207682823267fef795f13d165b8e7fc9459df024fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb44356ba8f9462a2fb7fb7309996c089e27803022bff92b4ecce06bef4c7c1b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb60301f99aa5d3718b86b6603354387739f6f27839a7afd064dfdbf8a95d2de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb60415ba4995f0cc87760fb5040d551e3488430bcd9d2458a26adcaff59c941.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb6a205ba60849b0eea8b24f1f1a1669f19cfe0c39b70c6ce092b4e3f9db1833.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb6bf20bcb000d03581db4bb94d55a6e12faaf27c254121f38e7ca2ab0caef5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb6f74f018dc09117440fcf65f0ba9bbbc3d3c23eb551c7cffea5165fc721d69.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb7027c26837b70b64f4a356ebf6d886fb81ac4b09dad4fce4b5bf20031a68bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb70962c6a2c49ca8a4fefd9a96a85269316858df27f798559ba627d59f0ed80.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb7167eac36be1739092f2123166d411e63f6f0b908f3295360e740ec811e654.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb7401aac942c861affa8001204c855ad5e4ca80fddb601e16453f048d3d05db.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb8545011d14b33f2f69ee222b2f089e74a302b9a33e464943dc64402bc553c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb8b1b353a45cc1d0011cec679a4bbe69b1e89e2344a7f8b4df7e664caf77085.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb8f2579d6dad22f4da756f0df5d7f5f502c7bfbcf983856f359082084b01229.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eb9836393609353e8173fec001fe12d96606a70b25dd3814272a8fbba009ed2e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eba1cd30b6a50b79f3b40329781ae7d78d5451e16030830d9c75aca4f733c896.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eba70b1f681ce778a393d279cd6e0b33ebdf0df78eab4c04461dca5225e5ee8e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ebb87a61d0363b8605fdb3424ce9f6e2d28c8d3ffc3b0f93af869b68bc56c1ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ebc5653985558c33f5368ebb996d0e00dd0203d9a8c4b3c01104b3527f543e06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ebcc6cc86e3a9aedb9ee1c46b8794d3795acbd327a43d6199659e618d2e4da1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ebd993e3e2d70e1d94811e8187256dc0d93b10028d15763107ceb5ba27caa85e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ebdbdb8df014f1fd5da2a7965ab444558811c71feca04860797189c24a5fa1f7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ebddf782293432f9e90216f7dd5ced17a247106d1fb89e15ed653870830ca8b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ebf3d2d38916db6d0b296159e770c4ae578d3955be9c40eab91d8f7bc32022ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec096783c807cae92e8c229f583531c29ca0ebbeb71b80293e0b66eb28f97c49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec0c0438fc45e4b49cae0c432909018f1dd9b3ea56bfa59319e0775be3698e79.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec11b0f049cfc469494e7474fc55a9fa17e170fcd2f5447212e1f586b8cabf66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec176153094c174c41e911677ee55d156d2876a27f28970eec655050cc23fab6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec26b1f5f3e4428b8a6cbf0dc16508bb31dbc5bed10ad680e0313aff6f4a4a27.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec27f7a2a15b2c302c4609ebb92d16162a2171dccda0532adbcdf385c8883144.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec3b6c013fcfe09b3ddcb90eb9ebd91639d2f9e3038a9916500a7c3948266d8c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec3f02338784ad85f647f9e6bf1f74db60922013850c7a78387dfef2323b2f83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec401457b197f2ba35940c2fbbbfeac59231160a8a9653d78e087f39193111cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec41e067cf8cfc7894a61e5ab83d58e54801af9f7d848091cccedee91be4fd88.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec444c3ea0c6e0d89826b1dcdd9b60647933b8c5311acccbd78ebf0010dac7b8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec52c50cbb00f6556016614844fe74981cb4ef5f2adf5525712ab68413027782.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec577b0191d7ddf08656c821d6313185d4e3f242a250c1830bd06ad9fd9e0f23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec5e5b0003884ae9d34c559df4c117788c371d898210ca3b12b968ef2410e5e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec61b8b8a7dcb78e839e61f14f48b553d48cc2763ad74af498173b721d751b44.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec63eed6c452ccb79b12343a61e3027d9ee1e6e8d3b44615c06eaf83a7dd3d72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec6a8d2223eb32af049b8aed0460cf5a2e72994f62fd3d9b96554f02ad74a864.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec6fc7fc3bbf71540d5593ff362e9ae733d6a8a973fc49d6ec91f51b6ff198cd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec744a3233f86c06fa90825406e8b8f2e6065becc1c0f0480ec9a32b3cb06a4e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec78eacb53fe1afa54484922e0b81e8dbeca5ba2f674b57f60b5f60f777e8d2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec897f7c4d599f85f641ddf68e547cb6be8e1ff442068ce2b6c7036dd36bb230.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec8ebafda86b17dae8290efc632fc29a6b294ce62d96743cf241627b977efc7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec98ef9bc0370d098789db761722076fe93da89e28a972790bc6aa6f1b1c3cf4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec9a24750f91e903edc2b8c9b973dccdf2b5ea311b63919399aca2593d0d0e04.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec9e147b72a69b5644c70f5dd541bce0c666bf6e53ef33e14ec9de3b27bbd2ae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ec9fb67a8c4b199fa718b030bf6ba2e4da7908852b44dde2ce338ed14c9e2d6d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecb3d2012414e001134e7d02768560ba478b829f628c15c5f1c87038153b446a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecb717d4cafcfe23937b06539044e6c994f1dad04f516ffe204053e7a51356b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecc459793499091ec71eb55aaba6a982c145ae072a71cb38bf9531eee6181d26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eccccf47959757a8f8d7a0468274c06825cb7c6a67f74f906be0630cce74d06f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecd1783ad9022593450388c4342f38fdabf9fb0d0e13b8bf593bfa70f0fdcd55.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecd18a4db225ce599cdde0f6e52393bf85a995f8752d2cb4b76233c6e1fa89e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecd1bbe93e782b422551e68c76506fe1e069d8185a6b06c1999f45bbaaf9b844.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ece2db3e0dde753e36ef34da04e920e4b1b905daa01b85bbff8b250a306ec0b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ece5d50a46a012f106040d3589d6fd67ebcb731d6fe52599b788eef7acaab24d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecec28ed6862e39b5deacc605c456e1ff8c56fdf4ce30f2bb4b043e8d745432f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecedda45b0f7fc98c3bb2decf78493c9418e8556a065d7c5e62fab5dd39c76c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecf26f3aa63e11c2f6008f61f301aadbaf1580a31bb1ede76063920de639c95a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ecfe4892e562e862eebb406a99d43e131983ed3a5d60edbf84ca0238fc24ee89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed005f9f27ac4f2ac56f34331df3109ca82571e049fd418129445f31e37815ab.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed0359dec533532c54a8d8819420c0f360a78a1e2e930f1c186287a7db146726.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed096c2958411d8d08cd9fa17fb4d290689ebf2295ea360283720a05af5f53ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed14f2bbeb0420e71affdea575cba5a5df3e0d0d4aff37f55a9183fda67d36d1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed1dbeabb1ec04c52c2d1cda6aa92bea0f4e6634901f928a608add4221cb7386.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed252e51e34e3054c1837debf83b0b596ab3f780b72de0cfbdf8be28b01c652c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed2af02ffd55a2204452602cd9a2fbf81ad507a52eef938eeed84f4ead3ceffb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed4c455aaa64e580424408c926b8a73efcaed18ba42187644d08e0bccd74329e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed4d9b7a89d4d0d3aa1b3bc2ee14aab2b8e2435100ac216e9aacc597c4e8fb1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed59a09d5b5a12b5162f9b3a5ac75a7b0fffce17c86d407ff8745c8ec54db088.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed5fc3383d723f3d72867b6da8c20ee6df75c03d2b815653417682b357f93cb2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed62825f07843bf0a19851a325d879e84540fa3a0155e81db332c58ec959d16b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed650e6ad5cf7a9739803ac08b14c530ac67770a56e5b292838373df1be2446f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed6e3440bc5ea0662ec521e1c9a3247e387b254e9c24a95c879ca94bbfb13a9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed75251f1aa6b4ba87e870a76794cce8b4d6855dfbb4e4d2daa98bc6622ed99d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed7b1ce455677dec3288d53eb001ca11cba7b33b4b09625f698f77c0c8349c0e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed8f72e739d9063f85d916a2a6e930199b0750a2dd08272a11d2f55d1361ae5e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed94fe2817065f3f01e8b5d9f6f50ccb64df761250d0df2de75b867fcd9bdcfb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed96d29af19fd201021115c8838f1f7549b957c590602c156b293ea6c11ee7e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed9a69ce1b1e7c20988975238b9d8cbde9422e4a60678f043ba78b4c6ffcf23a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ed9be5f7478f4a5f2b09f33a5bf7b5fefb55cb118a732bc424294530d39b897b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eda4db762dcdbbad3472e72a7fe70008bdda1665af45b8929c81c81afc946b98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eda8fced85ddd9add33f36527bfae1a412b79e6e3c94e74a4fe0bffd05fa1f72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/edafeb04c8bbf9b124c0f4bd5aa84a46475f5ed4d835590053377dfd030ca8e0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/edbe250cfe160efa584999fd48d0f935787aebef525e5716e6e52b867418bec6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/edbfd81ddd7c7c51b94f7c13ac91e6ff7e5e2ebed9d073c182a600e4b72e9583.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/edc63bcbfae3cfcee2494c1d8b556ddde1f542ddffcf4f79da45d40dd0fa1004.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/edeef4b851d9decacc1c40c7964b7201325d28d7d0cd445a68f82f241addabf3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/edf70a02e7d19a72fb70e0c8d022c60761504339b3868f5ebd5e3dfc70f356f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/edfef394b01c52895a4c6457b0c7fa8f86e0da56831577d90acbb693bd60e5e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee04b50ea0b51128a972881dcc65ffa43e48d1e2674fb424200b796b866f263c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee06b1a3b9a8168c54b42b295a263c8ac1f21a17fc92ca6d6da64c2ae8080eee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee08a9b89c4de2a0de77397b27f0c5b1a651e53c1f2c2330353ea797883f4b57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee0c60a788aa91ab351f7017f96ff698773b61e8fe5bc1c32df08143511ed52d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee183b7fa09cae83e99ac42e69a63e817172400a89faf919196e286d21fff399.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee187ed613d0face7e6b5fa1b1566dcf9a81bbed60356761e83378debfd4938b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee1b3644d3c6ca3211568f23d363879d8af1ed9da4a22790e6ee8dc48388b806.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee2982d9f3670de27290571c5dbfcb4c12808c79664cf482e10ecfb96364815b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee2a430711531df13d90b8ad81f52779e6e07228e396986e182ef0aed5649dd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee305c573086f4880ee9e6d792143286723cccc3c1c346ba2f9e847ff09a992c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee31d817e20c66d881047590cd8d78c5af5ae66ab323a3a1c60cdc0b78c4590a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee336c571da5ba23f75da51fbd05398fa61532d8ad2565477d29ab4b27e6fb97.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee37b0e34d4f821a275976a7195b91cdbc8f5f43e00dbc1ef3973cdc3856c6bc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee45a2760b59ec9c84d9da4e1e15d24b03065885133e1ca5256d08d7883294d3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee45b13547f9cf5b8885d2b6ff5e851833827ef8253d9695e5d31923da60bad6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee6c377a7fa1ec84ac4f85c9e725b8708a41500b4463d5b22283a657a96b50dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee6c79820c1e061ef1c07cb90eb276824d729d106a9c33a815fdb4a79c8734e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee6d6871dfa161fe3ab245328adae60ab8f6ddefa35d344ca038cbf4a35029c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee7be20ccde1935c445e391b84503d97559451e04ebeeb1945bbb0c1d415cbf6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee7d61759372a913038a664e0b23dbe016ceb1702ef95a0d2e064df73f058a30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee8d032eb6564bb4268a002d048335e8a78158cfade3d9a1c833970738ce5b89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee9c7e0a6c5cc1f5b830c28cef3cd0d7e226f8ba7fb55afd84a4ee467e1ca311.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ee9cc67b0076c09ba78b8d4a741ca0667d23e50fa5b776f5e269af8d93a0aaac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eea24a93dbf828b4b9a5d669238feef880f222a04e8b8fcb9f54e8641e450cd0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eeaa44b3351dce9f2068e22b78c7a3dbd84ac693bc93b74749e9bb7f8f228ae6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eeaaf25ba07671a81f6b18bde46b381771eadd3b9f15cc3ab4aab6fb66d349f9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eec7e0b288b5887dde4b9201cc3493bda263a332fb80301f8168cdfb3482ad63.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eecbf2b6bbc94a603c4dbfc6df8b4029cb82136a02b08addcbd7279613a1c872.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eed01aa86e19f8b40b9ffbe7d01e798912c924f95d3cc079be09ed3d67ece3e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eed2eaa16337dc94a1b41980fc321c038aa124ea7675c8085833a2a18154e2bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eed7f1d4c70f02d05d5542a7405c76dea8ceca816aea440bc83e101663919154.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eedb18b1f67fec744e68fac696b4f18aaa6a1d1001bf474e4108187d0fb1fb8b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eede65fe47cd1e803eb7c1d83b1278f4998aca12e54af62dc9dc1bc6f19f3729.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eede81a965c62e2c7bb8b64faba30df85a70b880f83db2a5d30e6381dc1f97d2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eeea52c1c768e40bbd465f79337b967cc227550828b7a0b0ab6669a8b9851447.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eeeb2b7bb98bd9bb80abfe973d935fc40927847d95b3dcf32e79b77a427ad705.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/eef3a80830e4baf82c4e9d44cb4187c47f1acfa426563a7d279b4a7c328b3119.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef0059489c5e644c4cc91f85e70e14369da95483c069740440ebd718dab7f34a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef0204884acd911d02533e9cf0ee41f515b6bab6f4d8448932883a8764522b5c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef0675aefc33afa37a2733187cdf7092223030834ec8bc3c3cfcc101a09f76f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef0e959a07b9baf3ef0334893a0bc3d51711593883dbb4a83a4a1fad82fa0085.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef0f7367847cfbd51a24836c4c21b6262c1e13708192ba8e65cf0bd0b70235b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef124991d165dfecb5e2708c2f1d605042801873e1477c3fa5d472c70d9b80d8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef15b1d69fa33389dff1d5851bc1463a22f86581c280ff126270e1375d01e133.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef1ac434946926c16660ae2e71517189be06eb71dd011b531768e34a3afbc829.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef23b304b72e28b616a7b7b2ddaa15df7931cbd70c5c46498f5fae5039b2d612.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef32e68ec111cad7c964363ffc38843946fe8b68b85516d074f0448fa2745a5b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef3480545c6eaa65ecd415e5b1165e86b391bc98f1f8a06d3d51f78cb9ffe9df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef377be6674751dd0dc7ac0ac68849b8d729675c2966cad16299785bdc64cd99.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef3e74a76bfe717c21cd507f6d62d4134025fecea727b5677c5f9e6058039760.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef49c983e8a93d33879fe30c75155bf9c256a477b8fe07f5e4a29175c2364e9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef4d843d53a3cd26a9ad2fb4ba2673944570dae9e5efe7f76de35ef1d29837aa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef4eda25636f2208116588767b065e9d675c124926b0f8e3bee25083119c7cb7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef532988bd42086f1e2adc3b93b954fa4004b935888b400ea9fb54fa2cb53f36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef5350be1422021d4265efdb6e40c88fdc4ae05becc68d2ea452b3f6a443545b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef6494740a32881f868abfed3adb87b398486b36094102fad0400f02cd5f4305.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef6f0a1ae343c8513df653e2d9ef248e930628cde771848b21023ece792a077a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef70459a7e11fce73fd0e206fe6e6abec440207d974d612a52a035724d77d629.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef730a564d372d1c75ddd7bb2bd349dbb3e69c79d22aa30d6ed476ff3160d54c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef868f02e3340699631e05a5c844e92c945f5a40d169bf7e5373a90443b91e2a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef882f6461f5cd3223478fc15539913f723d44cc6432988f8f168ead30a33495.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef8ffbf133046311de3b4680a7cce0151de712607141eed41ce5336afb732020.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef9154530988c685b8aa9cce36a37caa67a68e5506fe84d592179e1642dca05a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef991b89552c48eb2b96efdfabb556d95428f934d50cb74a3f7506f61b02df6a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef9a035443c33873e8bd5a6d45b12393614dc73267b2cc3039ea1e2a53ec6e2b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/ef9ecc4e993b1dad3aa988150e0aa3fb4af01db3c7a7335bc3765bfd1f132f9d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efa29749a55c0e00a5bbaf72fff9662c9f636a14acf42388d63a95e2109c207a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efa3edd28a24e4bc5bec97bdb1665c05d83f4db5e68adb9aff3ab7de08b9ee3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efa4a9e91ac2db4c9ad886923e933012d1bb2ac318d6ee0ab1b1a3b57822da85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efa5b25962f9201d02477c991c7134bf1a05b078088cae69427e7f848784dda4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efb1cc533ba7a61b22d3371ce92bc43822aefcbf589cca424501ae56d4600ffe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efb7207d4a15e53dbbdc33fb8459fe394b556c02c35975eb5dcf1806c4b7b6b7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efb9893258f0a50a733445cf25025f613e97e3c7a48c6f4ed8a4debbd775f68e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efc06f89df00ea1baa59be2bb048af2e09ed6164d109c35d937a9834f9e6e6e8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efc9429502169d2de99dab7ff26e5327c779f2121dc4877a5dfc10f37eada936.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efcc2ac787196afc41130d32cdd8de2ed55bca9147ca428dad32a0da1cee6a49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efd28681dc8c833cceace3c30095f4d9567262b064fd0f2249a045a24af63c37.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efd44ec6bf1c3e1c1595b2325012e37636a875c91c243872cc7523badf10f8e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efd68ab37e68306da0ed21f5823f69a9c98a97e116ff706f7df77d74c1c45037.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efdd6af458e45a8a052e71146ce5fe307f328ad81bfbd7b3748d583ea13c6f07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efe1e5513e2360d5fc65f5ceeec4fde9e7c9f527b45c7e7440b1fc7bf906ca7a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/efed22784d4034b865890810cc29867432ef9137270d89d3d3f242ac940842b6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f004e11a425daa72a604401669079364798228629df98060e9576a8538380562.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f00809b3747234ef3a8e2b81f12658402605cc613526322d8f576bb2646cf254.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f00e70e8e93588069f99c1fa269feb42237f33716d3cf8f73b36e7ad4fe6f848.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f012d663a308a8566676677a4356117c474aac9aadcecfd45d71bd087e65fa48.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f01b92b8cb40ebc4a1c010ae09893037a3f6a3f43a3c2b9972d8bf31cb5eedd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f023b68b886bf4df122bb770f85892f5706bf9ce61b6ffe8bb4621f60e85675e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0289c9e36388fde404574fbecaa362cc822634c96adad079aa51049e3777655.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f02db47702d1db119f26d1167850709916941fa85947632c1f618830f9f6e1b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f032cf865abe49ab8bb9ea8e353847bb2c8cd8fd83caacc3fd7abdf95ad8cd4c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f032f545cd86c0dd1d3560f38b74c1121d0efd335de6e5106c73155f8dc1a788.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0346b16eabe6cdd08935753bd407f842811a0cb7486ab47ff0f324aae8bdd19.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0369604cf9aec1fd754cce80904b1e0086cb0df7d815268656fe771ade003ac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f03db4def879b7e1d46cd9d05a2e3877dc137af20fbbd19e60ee1159218d782f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f04296483a5f43e933a536922400c503766b572699e5772a074fd1cf9cb0d1fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f05efcaf19a386d447c71d5a809f7b7a65571e0e9dcc1427615c69dd08c75495.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f06525069f626fe4adb44e568890fa5bb73d412a98875e6cff54211928e4ab3e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f06534041e24dc8a4f09cea15c4e74f3100a23f34018816b188f75bc00932be9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f066bc434e8f079b2df8cf19cab5789e3a182a4c8c497743f381484c016d5165.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f069e4269e3fe382eafc638663ff141e0851c5108c8425df93b54f721bc36ecb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f06bff4f0d41519631378f8e19398e1d6bc7d40252cdf849840aee2fca025455.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f07e89740621819646d93d45372d69060b62b3537da8ca29359dabd5fad50518.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f07f56aadcbb8696c492bfe360c8e1ec49e96a41b37de2844c7569595b37cc30.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f081719ba22970a54bc42e424c1d6a58e1c646d39d2ed4fa39c620578135c6ef.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0861d8a9e4dfd7096c8bbce3cc99dff2a2cd1e9a5ee8d8f80c6801873f1a09b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0900a0111d4913de00afc706bd52cbf153eadc80fa8d9511b90ce47b3c91a8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0956ef8e7bee928b0cea917191947e9ac7d1b01a13956cbf57610db42cdfaae.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f095b623dab96d763f6ba70bde14abc5ef845edeffbf9d5aa299035d92d0219e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f096535868eebd652d904895941633c4724b6653ae21e93b099954b78f58c0dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0992460cfa5764851d30d1c00c08b5003fe358a7a93dfd0f94e38af10dd43a1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f09c91ee857a67388b91eb12543c7bac6b5ca582734cc02ff89a7e22522e4fc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f09fa0bb02b819357b99e92b1d7f3db4cbe5cf701a867df684d8a4a38f405b22.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0a027d8f9b57d695c75f483c86e780ee31906bcf166317c46633f941b03af31.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0a75e6098bfbdb63f1f3a5748852de0469495005e8861f45657307bc3cd5fdd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0b01323f972d2ecf66cce1b9bc340a79bfdd5eae87eb164217cc79c16465d3f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0b3eed9f60d6f6d86c6752570aeba85907907c9927e52ae919e9f3b44a17837.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0b4c8684476cc13f869154091f87d089185dcf60f00f982b65cc94245e7121a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0c4aa3f81f00228dba51fe40caa0b115232f943651d592ceced9877e42bf283.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0c568e964fc8250fa6d2b7961d56403b6e59e71fea3f6c1c05e93437ca5e1e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0c5bf0e5d7d0ea299130e0065519a7507ab73281be4487be98fa84ebbd44894.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0c89da5f23633aaa3b4db5b4b0ab57c208948fdd663f4786b8fdeee0ee75f38.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0ccb1cac76667e6301425fcc4adfc231a14e7a83725057a379e831171150f4f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0cfe39e02ff74d012ef9dce6e91cb9fb08e84058ef2e6de660cebb2340d499c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0d2fb8a1feece197339b703e3a0bfbe7f73aca79413a9f2a00fa34045d88363.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0e57b7ef03080a756bb1f7ee0b1baf93eb05c6a9c721085ee0afc91edd4e024.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0e9103a0611e02e9c6184dfd41c37016ba03b1712106318faba9bdac1542f6e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0edca847ef3c3a37dbd838427361074928816abc6e293ec4d77050f81dbaed0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f0f9cbb4e51a629a0930a1b2aa836792f2db69d2ceb4c31402b87db952fc5548.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f10471cf8fa6a7a853e9341c4539a5f058dd561d8b1a67d5533c9550a6035d21.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f10846ad87ae26ab2b65fd2e921ec64945a68794309f871d9c5a3294e9abbae6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f10eb1d48ec1eb16d56b60792c352b2ad387186a73da565b180fa67b76f109cf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f11228451c69a48039e5b8ef6d920a100b161570a5a64c95beb19ca04e6ec091.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f11f5ead0219826f54e75193e6a1026447f820200ccf9d66a819354b5f27d020.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f12802af834509e3e489d004679c3d9d7f2cb06173ba551dac1df2b0100acc83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f129c372f9d2d9da5de97f638b8c543a938d72f187d188263a412d6cc58242c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f12ad45c4307d9979a23ab4ef6a4628148e1e8c4548732c12c0134e018436a49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f12ff3fce1f06f50b595335abb867d8489c631191dfe01df1c0b5efe8ef09b07.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f13488219a0aa5662e369968b7d0b52df8623ad326aace24f11bdb64ea28e71d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1466285f74692e0209222888cb5d160058cb2905336ce88f9d8d74acd62ba23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f14e1ebd32e5991a0879c3441798794e3fcc3bcb8a85e75015945b7ef193af28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f14e222a3811f8d7f824d6fd6a5c52db57a9d2088283fd90d778770547e63af0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f185a5caa8da76ce830b85d1a38541ed55f4babe7c72391fa0eac6b45fff989f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1863f9d00b84439232e9a5acd2cd8f0e38117fd2ebf455efd7367f5ff78a7a8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f189e5a10f36b30ed9ff45e8907984979418909fac80ceea9bb84e32e5eea1fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1904fead839759ab06fbce25ad7c4a0b2fba560bb6eb335c45137745de455ee.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f196fc0dc50734b8f7d3cdcaf58b7e8b457b93b62723a41e400c97e3d588363f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f19a479557eef6f87d26b39ce29c11ce98e05d74f538f0b44fb1ad5af0eb9b65.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f19b9a29ff1ab38c3eb95a0d3ba97e87e047ce0a4a8d595a25652836f0c21f4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1a35029c7ad7b22d78d53e41c9f14e352ad23a36c2189c46fbd039d63fe47c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1b358957b1a002098a942814c4f3fcb6f24505c560b22d08f4398e424232cb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1bbc9acf926b9df9b4dd905772cdb68b3aeb0f38646187c682464ea49eab303.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1c0c5faeb89f2fb60d0926db0ec9062ba40dca81b662508824adf32dab166f4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1c2c5374a51110f3a46f677c21e1e57cb681e8a03a59c8636177f9045989f8d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1c2c8a8ac579ac92a93ec7a23d6b9c7a0700f4d56409f18c12383c2576ce8a6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1cb9b041e1e1a513b70364bdd229bc6369ed48bf193233e31ebfc7254e0fd39.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1cc850dcc2b90a3a3f0ebd3ab29a9546df5ea1234aa6a1a0c07e519ef83579a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1cec972d4bd3b814b7b2c4e4db46c3acfbb5bbcc95f1a3a1ee9d12a0272d182.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1e90a7ceaec53b1609fb3fc2ff90bc21210aed1829ff2a83a677937cd3c579e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1e931fe97d6365a3b2eb117206d1dd2d7741addbc05faef7eb4131d87a2c5e4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1f9d8a6861d0a678f87d008ed8051cfd17fe378cb242c39c738fcd1f7c3679f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f1fdfe3a129df17294b00e8acbc4a762d3ef287d8217ae472a41422f86bcab26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f205d3a88ce7e160213c142059718ffbfb93816c3f27eefc089e9759838511fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2065427df3a76bf86b4859be62d84c013e1219f1b5a95b41a8093e8e04c451a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f21d69f21215c3762efc1d1a096223c103b3f28b4e8613ccbd728bd2649d144d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2229a6db8b32500488d2fb3c80c2ca2b9cf5bdfd87e0ffecf3175e071507b43.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2304442c1f40b5926a7a651b571a87967ee7aad3eca6e65e4025535b8c84833.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2320c4526a5910ffc8d5826401db298d4aafc77c062c8104f05d0d097abe9e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f23a134dec2ed7c09cc7a8117310426b0d04b6a536e612e0db4f5176c7161db3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f23cd5bfffd1852505b3317904f76021bdd968e19ab031541e3be6a9e1b14b10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f248b72d56d5d6ce2fa2d6dc5adc1a7d7bd146a8a8ebb8a3199e89da09b5abd3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f24c7cf9477a99de68228c77e6f5d39587efc1436985297b30bd7640ad2c9450.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f252993250d363607c9c610914574cc0685b42abc083d1816695c769bfab8558.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2587adb78ac2f8f8a763afd82396c38289519e2ee8faa0f3e27dc668897cc33.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f262f14483deadd220a078983e240012b3482db3b87146ea5b57449d0f61d185.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f269e229343323933d75c3edce7337357e0b03cbec0624583d9bf4d27f2e7014.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f26d4c456fb3dda6a2fac2a3fe6413b15d2841b0259c259eac3a0d675bb18da9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f271fdc51862e66e083b98019514379001edbd179bdc7ad92f9795680c6b5f03.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2790285f018d3ae30f2f3c2dea859f74d5c07c08a674b9fac71b4e2f18eec28.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f282bbb4212d1f26515efc72655960d3ad5c2836111a7100e23bad467f55c9fa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f286f0dcb8bf33c418e9cc8ca88e4be73446180e296b27f639d5bf42eb493f0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f28a05aa1969954e02afea3abfa4e2de7ea31f4b0310ccc5dd7195197dcd12c6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f28ab4d1d3e4d9291d68be726e4600b50c06a403fa9e32c3721b00d30f0655c0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f28fe3ac67ceb8c2d56ab192cae6a2d1d1144b30a4a31973fa3033f68467f79c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2902cd41443630c9e8889fdce413041cc92659d935348ce22238dce56a9f76b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f29ab157d6c50b962dd577a17e3904fe51ed631eb61c676f0c3d00b6d3966061.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f29d6aa048b66602734c3b421ca45776640345e307694749a86fe94e703a8425.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2a28c5a87db47ea1bba2e26302146724f90c92f4ec671a3df8fa5de05cfb69f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2aa1fe3b9ec242634139317ca478fd54dd3ef36563d91cfed6c9f7eefe4db36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2abfe856c78181cb2a75311bf04793090aa06db90fe8bf73388fb0dacc0c129.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2b888aecbfbcf9319032ed9fde6203fe8a1b43f40e44d55faaa6c142f218316.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2b9f9e2ea10e5ca53db94b13fac52cc478d6a9adad0d84cf1e5ba3b7789417f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2bfb8172e3c4e4dd3e59ef28780441a19d7a4e037b848746c2e7e9b1b3a5abb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2ca40391049bdc987ba6633177ed7eebe9ac7e8aa8d2914e4b91a923ea5419e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2cde54a8909a64e11cf1ce03cb8e69483f251b436f8a627c9082f17ab6032e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2cf1b2fe9ebcf0669480d3a69ad7432a7b1b0760d3ee9cb988d954853d14e0a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2d31cbaa2e88f0d04afbc738aeaa5d51132b3d94ffd7f6960963ed0034c903d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2da59068874cf1fa328ab56fd9482625ab66b175efbe32dd72574d0c1d719dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2db5215e6e97537d80d16be635d69f29037881d6a52ad0f59077aeda1137826.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2db719b4fb94c7aa79343aef20f664e8c242220f8b36aea92519982333147d0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2e7671d50ff0a86f7a72d5f6cba14f58c202331d6648e10dc322d2f35645b66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2e8f738bd7c1c131aab178a42946236baf88937805197a3d521916ef62703e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2ecf54578ec448ae6e1f764c95c541adf17bdca592e3d7033aa2c06fa6b05c1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2ed2252146ee9908d4bf97b8055f029ba6582182fbc28242f77764587e0e0e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2ed29c09ce49f0d44cbc5bb20c1146d7cdb1b6b1bf48adf37024e7b6761dc57.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2f59a34a821e35002e2c33c9e01c3b7f8bdb5d413cf2b572698331d4ce07119.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2f6182bf047e591c767ff84acb27b5337a22f1c664dd3ca4714035d1e605e9c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f2fcae14167adf61a411cd97a847109a3458d9faf206a0b9ac2572c3287a90d9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f30282e4fd0a6e1a375049c0dc65aa20b728d09faf4384bf90c0530affe90750.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f303757b99f11a29e7d0c75f0b3c018ff676ca744d0d87ed6c632c0c1b91f48d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f30f69ce381df72645eee2f72211e7ed93a274e23414d2d3bcabd4e266433192.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f31afac240a75936bb77b089f81ec03799a5546e09f664853b56b6369209b641.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3237a9033a026f0a09d480d603c5b56ef99f5bed3d2b1894194fbbf6038c38c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f32a1dd70dbfaea0ceb905c91cc1f7777326ebfc91bdb3f4c2540708372bb71e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f331b74c0711e305d2de78c196e82ef31493f1744de2ef6ca6b3c8c9b17118c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f336c42979314b3961cbcf04d6bff322f798a4ceb33523e29874b10d4c83a85e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f336fba2bce7518be79043f6da212bea2ae2e80f6425c089f194c14f1089a0b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f33c799887402bc420042d79813a5a0c7ea9c938ced7b4eb0a1ece4b484ea8e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f340a13631823cd43c99c08a52cef5831461cc7fa7dda13cb5c0d0aadfe417d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f340b3d94677d741e0695c3959a1453df4a14b4287bda50958ab13355e623033.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f342bd0b26f92ce3f5c4a8da0097f618625797a96a2969d912975304fbc603de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f347b1c20c2c70e509424e2966eea8e3fc068a24cfd679582b16b7127da79e7c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f34c43ded2b40d364cc82df0bfcfabeae060112c628ceae810466fde17d0a956.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f34e49411e7b363c14a150d994319b50b29c4629cc80386c9991c3cee934c4f3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f34e93f58e925d0e304ff8c454a606e54c12db4c2dbf6c5bd134a432612fd216.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f351a802ef2c9f870398017e0c107dffd25fb90a5cc8b0923c71c1a6b6d16189.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3564e89997ac36aa9c9f7bbbfe03e9cbacd7e3f8619058a35e8a4422be0eecc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f359c5d606312227a31d0ee34c498e2e1d2aa31cc82de601ecbc947b83d6c3a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f360f7f3ebf7d7e7b32ecf9ffb97951bfd9602ca03fd1961ebce1071d7a449c9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f36aa25d075bfe74c07d3ce624537819d6e22a017aa577e277eae5e628f2e2a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3758470a078f17fd7faa03ed5d5b3ab465120ad5e3188f3a18ff14cdcfb23b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f375a7b3678193439a202d8cd7d4610b7ed982b50fdbe1617c15a1f808d092eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f379b0a5c32c1b334642149663241558f9c1458909e9900c2106850633b22b67.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f37b1fec245e51bac166e18fac6ab0fd9ab74e7a4a8611eb893e00844bcb0600.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f37f4c0551fc0a7f8e74db4499a57621f9684953c52a287e081dc1b72d559f4b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f38c6ce5070b314492a9589a5397c2fe1df2d17edd56c296a7f39109d354cbbe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f38d3735c649577a32163ed39bea44f3445b6aa7bcec2f20b6bc4ce2e7dbce59.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f397184d8979d057f41ab0473d142fed63820695a7db3a6ffdc80f6b136d19f0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f39aead410f96d5dbe5965d3c110b497bfcedc3fdd7666e0356c1821c737f12f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f39d1fe4f5c69db6e4c31bf4162edcb11cc7c7289d603ae399a776eef90a0e1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3a89d7daa8177871ae7f33915cad816279f41f52920a7812d1d16ed0875646f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3a8dc3bb2edce5f76472a4b8be0da88270f3d0621d1a1f5a08b609b530dc22d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3aea8abadd68ba535ee6eb6158eef818f74f8f397a179882e9f41c490aaaa72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3c8def18c64b60ad9dd16f1505b78d79f2b1f86caf2434b6eae15587d4c76ad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3d0985df5bf3393f5d885c84409f5684628c2c3440141c70e6f112c5f0becb8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3d10cef56dc017a578efae5330db697d3d53dff9ee5a7cfb4a36bba140b3142.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3e090919fd18ddcdedae68c8ee4ef0da10b8f2b32a4ba42155576f12b140002.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3e556ab770907d858c8c20560c48099553c4f50d59dcb62dda693f24b14e34f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3eb83634e60f3e6f7ab84122fcc81f00f6a3c029962d71c6bae01e8413f3724.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3ec21bf101537d720d287ae59ca2f5d4a41f184029912cc346028aa99f4f4b0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3ecd4f0ab6a69977a9ea8e5f1dc09c921a6ac1acad7dadb8ce16959968261a3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f3fb95fa351f5c7059727b50c66c4f450d511e6683e64975e7cdac8b9e47684e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f402b1657900ff640a08770593aa1945ef90dbba95469bf359de5d892a04919f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f40582d26e2ec022882c75f738bd52baa30508535c50fb14ca8641edadcf4714.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f40cc9ddac9cac78889a768443d57a05ba49592317319516b97ad4b89cf8d323.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f413aee91229364d40639e7cac5f652bd95e648925a3636d3a5ef73faf1d2fad.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f417025713ff08c63f54bcddcce7a95fd7066800e52df9911242e7f04fcace26.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f42875038d4ff715816f3469f563a15f0b3000b7d9e56b48c5868d61004633a0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f42df52245e7f3841d81547b2360e40ff1acb458dba5fba1e428a0b5b6e941bd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f436d1d3d1d319cc421b717ee38bb9126bfc8d2d4cce780b6ebb902e375a2b4a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f43e033113d0c52712f2eb6b666327bac02f76ddd4182a5dfa86cbec05b9b4d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4409c3640a1ba1150f3cbebbe201a072adb0e187544c377ae8589d617b03401.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f441462a362ad412a429b9dc8c64978057d3ace688653a2aafc50e4de8794e81.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f44625f0d74576b2fab57ba2dd75e84d1582c71675848832c1e4f2453e3a7e3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f44e794d15069138071e6e0c5eba8d515cfc3c871c11d0b79dd0155d874e1e10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f454f1c6ddc92a8374d2e0aa2b23dd4e8f817fc9c8000262745bd416fd6bc7ca.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4574e69a1d92356fb0df9b34f650b59768c47096db4f895d2765c8e25186d7e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f45adfc5d7c78560d188e5f4e6779b5797bb99b8f8dd12aa1d96b7b3040ac03d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f45cb7b9b1bbc2d3b482777c7b3615fb69df43994ce3bc555919a5529f67db00.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f46174bb91753c69aebcf683e5e490bee3f46973ab8f636bc2a70ca585a37ea3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4682a11bbd85be0bb2416fd878c750d74973e7eddb68df93985c723fcd5fe3e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f46d37d55a1c0e76acfcd374d0d4cee0be6b027f31fa9a50d01745e566ecf9e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f46d4034ae094a14ff9fb696628eec796208ec7d0fb3d267d9b7b283f45f1b83.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f476a7990a200e26ccfc05579eb0e419583198743f47de07cd77f8d4b25a3f9e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f477fab26e42f158114f58ab8129ff8f477cc340bc7c5677f2b5ca9ba785fceb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f486942f858fe855913ec9c26643ebea83f07b1e802839b0887fa68fcb05df2f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f48bbab29b4ab43c4ba80a071d1308722d81ea27a8f46a44d8c09e899bd2d7e1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f491d0fdff74488ae056587a65d068b99994e90795dcc6f5186620f1a041b16e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f49da18f01c63d7e5123b219fe4185bf1cba26837cee895e3de0df4dd3c4aab0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4a8bd14867b55c867f03390f73c3c7e4a0fa72ac49780767ac8f6e95615fcfe.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4bfc333d4d30967c4efd05e783065fbebca45039226ba6bfd9018fffa01aade.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4cdf1a35ba5d711298afbe9d3e28ec35d93cc4a51137c9647c2f0cfb5b5f5eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4d724fa2a40e55e6b517aa70ac03bb5041bb46252fc5ba12bb0f40fede9b6c2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4e06732a46382870df50a7984bb67c3a555d2e515b985cfedf926c47042cac8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4e8f5b254078e356b4f2fb7d90c4135c8d13eafedcfe380b580c43b58201499.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4f2df0801da7928d793279fc3d20955469e9a5f4c776ff4fa2c48ef6e32a301.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4f2e8571e8d6273f701f3f14ed9286a4838c11ac694f8f51924ece800647ddd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f4f52a8286c324bba15b1b81576c09ee947d0bfe882f64a7308fb72a960a1946.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f50b3d2fe32193896b1385191f4952ee78d1c331fb7a57922f863608e9d25d7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f510154bea29e4109231eaea8bfe80f2fd1371a87f3b98949ac6a2042ef0973b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f513f73d6f72aebef300804955b953945a452cfde26e757b8b88b1ace163d91f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5150ee5501e63164919d1bc97b6bc85e59e5ca8e42e4fce6b0edefbd41bc8fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f51552a3fb2240586a6be1ab5a5e13ffea674a1125222f1dc6bdcf2e24ec430a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f52324ee454ee6a6edd0bcd69b946c841ced81a97e72452387bb20db2f6b9a06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f525c5b3f68205d9f3de7abef6a343e866d1570f07615df3b3ae6dd186624bcb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5356dd4305ed5c9362eb05260964eed615bf01ba35b5cdacd8969dadec8a898.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5368cd666eb5e09c76a263c86e05382bdca69b8dd4f0cc67ec89adb44a266fc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5394c1c6f3f5fd861cfd76934a4ec7f1a56776f3b3222da1574a0acce0eef95.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f546a945f3fb25cfed6b7cbdf51951afe60d482e01f4be45015219991095fa86.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f54c4d67c62b8f550ce6e32e5f90173cff3a7d14c842f26294626a7a94b507d6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5573e854ef2f5479192e880da34dbb4468ea37c140c011cd5065bdb3d66fd06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f563e0273400a05075df2e3b23c2b02992bf681fbdc1f95bfcca5596799ad4a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5673fab0b5f60641f4e54a169598f2a6105bf95c80de401f7b0d1231c6a181a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f56b7cb1eba78ad025ee44fb38f07c2bec528c636d2b789a73d82cfe4c77c70d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f57834ab8b7ac0017f9f79cea30ee2b254b73ba969a1d94bc754db8cf4d99f66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f57961e07b0f893c58024124cf5ee5a7872161e7b52c9b0299e337b03785fda8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f57b7dce31e1100437dd8b95b5f18c76b052c92a38d827075b8ef74021278c98.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f57b838f0d03ed85953da7313750d794684c4c98f21fceaa06c4c4331582bfc4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f57c35b1054977e77587b938a44728533e6bd2094054203ad498dce92e128065.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f57daf206fdf79e864d749f10484062a2d15b9422cb39a45aab733bed1b104dc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f584bf575520d9beff074edcf2b4de340274832446cda3d5744da5b7fb08ad94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5863ea979adb4fbb74f0c139a7c41162649f8dbf763690ae6630cd561c5317a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5890276744bd0ea621c20a7040cecd272053463fa584fc59964346443f2a765.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f58c696abc0e7f4a21be5d56eda065ceb6233930df338172f543ab548bcd9ff5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f59505e297533a3fa0af307003b57689af802261ab19cef49e6e415612425bd9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f596687bc90d2baa7d17fc95efbf63824cfc4cd8d2a86ec4a3e12a7b4930d06c.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5976f763aaf53044d2eed1df0650d569c0a6421042a55b0441aaca79ac5de8f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f598df3c967328a8e95f6832b4b22d8d3ddc21a6e911b1d5cb556c4ae67abe06.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5a0231c9f07290b4b748d36f468d75643b94ec329d45b3fcc26c28805374d2d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5a301e2e0e5e4cda40f47d6b8baa05e4bcb4b17ef0621bb3be0b25631189a72.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5a5ff6ec2832b083e27cd46670ef7ed4b93dca700dfb1ee7667c4a301a3b54d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5a91fb570b4755d3f7bac65968b8467ceca9d91b29924282ebfdaf91f4aa08b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5ba28103040249986c85d70aca0176e95d831b1b8ce4fe1337d5ff8dd991364.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5bc8562783ad68019574d510c10e7896e307389bb3535ba33dab404f0026337.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5be60bf9f5c3954c22bee9e38f255ba82ad526fad61fa914afef66784da90b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5ce20553c9d4b349145c5b0562bebe0d4ec5323a7c86635efb48e903e88cf7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5d31f87a17486f4b31fdf5e2e3e6e9d5c1c91f9543d441328434621aa356f70.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5e2908d586a838e8be469b476c5ad86c467b631faf5449b9fc2dde8980e211b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5e416d8a29c992fc0e2d420bc9bb5fe83453d8ed408b1738403994265265d7b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5eb2bbf0f8ff3fb8ad7fd7fe118c2ae9e2d270774a378d5016f121084e26c05.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5eb8a459b69a9cd641ecc84ae89e97046f30aaab71916293207b4bd4c030480.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5f713a5ae532aa581f7839f6c500751069842b58f35088d00988c8b4b8f01fb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f5fb63b374779b9f48d8f66f8ce8a960f09e018645d9e04f8cabc39086b2583b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6006954375c1e7d44c408ba3ba46dec810c1dd284cff148b72ef009557e2cf8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f61e3406feb3e91a084928180cd3e7cf6d14b2d973cb053378c76c23184f6e49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f623fe4054cc086b08e7f1bfd6361b394378987c62ec18c57361322df1a2422a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6272d49b56c19d79ec1bbd0fd962f15e1647765c9dba6d58d2e399a383c7447.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f633c1a362e7a51b6c982e0f258c62b1f7c8012079c83628fa2de0faeabf05ed.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f649a4333b51a5ad00d1158f976f2cda855c8be908b00d083fcb759a9459ef66.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f64acd3b1954434f418f1a7e1b866f8004fc2e1a06d55842c96aed0763b496e2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f64e55252ff448c81366d2288cd4641d5056e43dc1b5c45f20d8113754928905.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6539efb39ddf439c40c7bea9602db137140bd371eb8643368ac6081fca9ecb1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f65f4d8553d479fb6cc0cf49383dc872de7855e4ecee9ccb2f86f0adff10715e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f65ff21f5e8d2118008d05c5a869e1c1dfd4c42872c7d80ca7c78c95f9a4a511.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f66bf728546029824e5142881d9cddd0fafe0a7a9288511d0030a022e358f6eb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f66c59cecddbfdb508b4b32d529539b6fd12b2747a3c5db9aaa55f979f451851.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f66ccb709c2cfa939f9b424536daa396b2aef98cd91527640e43e75c508570de.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f671ca286a7dad696055d11c04d564c1ae65fa06315b6ee17d8e411f93d18cd4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6847cf79b938f00bb6f5414c53322a24cafb4e9a62f1027f3edee44ae059711.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f684987f431e0535197498bd4f20ba00263f1063a4158c310c65b015b757dafa.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f68c1520bcbee060581d81ce279e4b71ff1d0810731a57452833462912af5e5a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f68e09f012d0cafcec9c70f74ca6d1b68c43e1bbac2d9adfba7a5a7c021c8f9a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f68f3b70d820fa61ad6c749ebeee11a5b373470cc340215edfa70339b5638498.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f69081fa372494d144e391a2822a0d49f5117907d8a0342a5154bddb42021737.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f693be62aa2025892c7ce3f05429b8affc7084e3ec2ce2e11c8f899b4ad3816b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6a15691d776651cb244262ce4f95e8683afca4f756bcc0421db25a9c8cbdaf2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6a458c043b366dd57e0c39ff42c1f96cbf348ee00ffe0c2a730afde27e0aba4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6af01179bd91287427115632bba95919549485e42e90327f381f98f9d677f41.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6bb211a7b625c24b5d50330f37c6e353ad90461d171c5f6bab96b1d04e48dd1.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6bf8a5d38636ca0418e2c7ce0907c04a804c82c67e8c946f4d8cac5af0dd44e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6c4a6af1351ee4fcd11ed380aae889650163c6f128b5c7ce2311589ed108d0f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6d65278d1d7c1955efa03088ca5750f7224fafc1e4e116f3bdb90b44c6ec4b4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6f03185078b2b72bb00da31bdbf220c677fa0ef314a766a78070931d13b5938.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6f35fcc059501a00716d8abf9f3ea74c3e735df5a8f2cf1fa92a8dda95534f2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6f6c7a89eff267efbcf9bd4892852160779ad46b74eec2a71b11c1b350da193.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f6ff678cfdd161c25bd920772800a60b9e97405c0511c622083bb8f70e9b4ea0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7132cb207a1506de03364680a13522c674f77996b428006e13ecdaf8790fb34.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f722f5bcd93f2c9722b139cb0682472f163093cc32fe71423991bdea92d0e87e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f72a3efda52a6ecc994e4206b65fee292d6c497a454f5c5b06ed3bbdf2117dc0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f72ecf1672df11625363d7da96f274e63bd7a3e16c064219cf84c69d375a3a3d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f73644942f54096b06f2849d962aebfb7cc173b6c9e5e1c0da4bc399c24fc432.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7368c4af5be1d3b821602d4364cab054f641bf87d76b9be1072fa9fd27e1209.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f73871dfb96b3d522d5920440013d9d60c16528dc4445af87af7ca18657c2ca4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f73c98be23fd20faae5efbc1ee205fe37a5b524381fed5b26b83fba1548971e9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f73d808b055bba8b6411641aa225454a1f02ae0b60bf3a5674dc6a59e9bd1c49.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f73df3444d8a6afd2886dc1b62519d69cc8df2d9b59c4bc01d64ec88e31b7ac0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f742886b44b0ba0150ed9676e367c658d11ae5df479d813b22a51d45997a2a94.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f74ce9b7b72bf4adcb854fa0cf9cefc9381abe2173f48c8b877f61d3811d3504.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f753bf363303142d6774fcbfb9d7a79e0c39383336239a80c610dfc7a909135b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f75a597245171e2a144c37a93246ff11b5a2922a0c0e2eb5bb29f43de9bf7b36.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f75cd6ef7f5b1b19caff4970611c1b3ebad212ecf3584064c191fca4986894d4.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7689448f3141fdc933204512b45209801e63e6264cca407bc0c76ff1bc722e6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f76cf8d7e3b832673eebb346e2cbdc96d60946c5ba32440668a716d84a510d1e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f770db35c007c1222f2439bf3ccd6ea3e8bb2ae5a59d7b3639e6ed93a5780239.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f77565ed484779d6406f7b13a82190194d2d8910ef81b23eb545d9373dc57bbd.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f77f2ed445da81cb9f7dd6c76da255729f6bec94282a13b817681b6b275a1db8.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f789dcce0b1f42a1d13b919204bd005636a2154d3d6010ba4a9ee1c180923217.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f78b63a318da0a52771f6c2a6f42179bd6cca17b3925d142aad1ae3055ccd8b3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f78c41d51a6c4d0294fb4279377ecf078c7ccf515ad79203d0f6b263230d02df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f792cbdad5abf74b392f7b923e57165c93c9cd91d895b97872a66763aae7b824.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7995fbcddd37f072756d9c17ca0316ff4f3c3f446f7899fd6a4bd7b4b77a3e3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f79ae2d964b059f1d091de61982a57051ded4e3e4fc9dc50769a13094653e714.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7a1ec717a57e24117f8e8fe40c338b5e39c7516d2630a8d823c35619ed0ab45.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7a294a6b191977c3635ec623e371bcca5ac1a08e0332b86f7dc2610f3287a89.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7b24f6a893dfb60365f37ba9b8c1abdf44a79fada0464e7d8c6e50af5dd8adf.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7b2930fc2518242a821142f0c0f54299f4e7bba0dc7465ddb8afac967e5f051.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7c08af170d3048d10bb2611e071602d18271b916e35469f84626f055859ec93.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7c3cc3c88e6bcfb112701bb4e3f19e056f2c9a871cf3e33972fc7076452ac23.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7d273f06347fe7190bc1c461e22bcaee0322f17092fe01d144acb27b0052246.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7d4fffd27e60543f6268b0029c61219695db326693edc3c7cd22eefbc2bb8b5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7d5ab476b2684f38e9da5d46bf51a24ca3011c1df7c5ec1f71e012c1d2cafe6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7d9923ab2b8fc0c1b5d59154403e3b77aeab34eb1eca4e0f434d9cad97098e7.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7eba84bb26690be0e11fefd524be3d136e3744a5541613ec9c3aac42659a1ce.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f7f112281f222f4e61fbe42a753127318e22d234227c30ee4d1784f437ad0db6.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f80c51401a662af574c29ca6b2d086308b411b55f425bb9680f1afbf5dac8bb0.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f80ca45477fc99fb141e7ed0c52a339f46ffaf92e842acfd30d2dfe8c944291a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f8119bfd3b6d1a1833be56b728fbe568225d8a397b93c106d089cd482c5225ad.json
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Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f811a42a0da69c07a3c202cb5abd261f04f9e2981c6b32e09178564f71ea11e9.json
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Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f816a0425cdf55a35d7f6829d5aa19b1faa3b6f28f1ac1a6c48867d4f7ed612f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f819b432f477b6a6926c5db606e20190c279af2ac37667fa428e76affb1250bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f81fcd764610a20efc69ccc7c399e8f048eb8828ff8f22586b735d5f25a74702.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f8222d2cb51844575a939f1d8118a34ab1d582560581006fef1c58635acc5cac.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f82a2f1b72eeefef21d4eed2ee3acd4a827a11053f0855967fe209753decffb5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f82f2238be2108ee966690f6fe6985a8fbeabeef5774626bb63fe64642f01e56.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f83eefc58a714909575fda1e6f13a49bfdf2d5bb2599ccbd2c84329520fb1912.json
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Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f83f01619c328555d47f69c97f99d2b025c3781d96c03cf7dbf274c395273cf6.json
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Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f83fed1faca7c57a66355da46d1364c51112385ab9546a5fd69a89cb4bfbef1f.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f841a1128536d23ff8676996704829de0e49da65b2abea96a2241237c711dc1d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f8442aee5a863fb1fb62aa46f141740ef3b940a5b836c076e2ecc707d32c3b58.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f8464b8b16fea01089cb1b47751ae23593d1efc7e9078990797e9a044d9962bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f849aeb34c0650364dcce75f460180aeb8f404217f4ad29665eb6a87c70776c3.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f84c1b380b660d4314d8095d6403689c2b21ca4b9b5512df62fa453a54710592.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f85279af29f763922e119003b1a9b54aed550d7e7bd18b7d81ee85fe4b5b38bb.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f8529369f6bb1b650c13ea501baed0a01dfb493e2487daacfb21dafd225f46a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f85699a093d315464caa5b111a9ace4c7f2f476e909ea5595271e1e2c48eefcc.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f85922a828d5bb6321dd33298b8b5716a565016ba373a707b92a3d8d7f4be0df.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f8600e8fc17ef5a3fd9d3f1e3777feb9cfb71295d0717af7e436c6dc0bca893e.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f8626092ad385207532157f524a57f216a7853e95cf4ac54626e6c9dfe8ceb0b.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f863f044e0604dd79d47adf34dd554832bb7d3085a4cc0ea4d05a1f67a3006b2.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f871a8683cef925ee663c269ec8d271b3fcef4745362def655f8d90d8ba51c85.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f873b810b6246d40213025adb1797f15225e8f957d34013d972194a664435b10.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f87fa2d2b1340b3d1a3c131cb9417ada44f57945c1563b7fe00d864f8efa9f0d.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f87fab5ac2b71cdbf76bfe621cda7888f846831d2e1047d5add550764a78b0a9.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f87fd4c788ce61b1c84660fd84384eadffaf7230c49b69cf81bed12bd4d7f11a.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f88840833943cfcc8008b870634cb2c81259378541f84ffd036f8c16bb50d3d5.json
+1 −0
Large diff (2 lines) is not loaded by default to keep the page fast.Load diff
added
results/llm_cache/f88925afa402e485c94dbe4f463653adb394736f8fef2f0040b573c833a3d6d1.json
+1 −0
Large diff (1 lines) is not loaded by default to keep the page fast.Load diff
Diff truncated — file too large.