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adopt: état déployé sur M4M64c adopté comme source de vérité (remote-first, 2026-11-01)

mld committed (Nov 1, 2026) Browse files

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added .env.example +12 −0
@@ -0,0 +1,12 @@
1+# Chat SPBoucher AI — copy to .env.local (dev) or .env.production (node). Never commit real values.
2+DATABASE_URL=postgres://chat_spb:CHANGE_ME@127.0.0.1:5432/chat_spboucher
3+SESSION_SECRET=CHANGE_ME_64_hex_chars # openssl rand -hex 32
4+DATA_DIR=./data # uploads + generated files (mode 600)
5+OPENAI_API_KEY=
6+ANTHROPIC_API_KEY=
7+TAVILY_API_KEY= # optional: web search / page extraction tools
8+PYTHON_BIN=python3 # sandboxed python tool
9+APP_URL=https://chat.spboucher.ai
10+SESSION_TTL_DAYS=30
11+MAX_UPLOAD_MB=50
12+BENCHMARKS_DIR=./benchmarks
added .env.production +12 −0
@@ -0,0 +1,12 @@
1+NODE_ENV=production
2+PORT=8500
3+HOSTNAME=0.0.0.0
4+DATABASE_URL=postgres://chat_spb:5efb1a670099bf3ba7584d379634b8d2a2a74ddfe270982b@127.0.0.1:5432/chat_spboucher
5+SESSION_SECRET=616e8f5bc0ff53785292f78d11536c95b68cb8ddf82d0c98db12f4a0ef333e22
6+DATA_DIR=/Users/simon-pierreboucher/apps/chat-spboucher-ai/data
7+OPENAI_API_KEY=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
8+ANTHROPIC_API_KEY=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
9+TAVILY_API_KEY=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
10+PYTHON_BIN=/opt/homebrew/bin/python3
11+APP_URL=https://chat.spboucher.ai
12+BENCHMARKS_DIR=/Users/simon-pierreboucher/apps/chat-spboucher-ai/benchmarks
added .gitignore +9 −0
@@ -0,0 +1,9 @@
1+node_modules
2+.env
3+.env.local
4+.env.*.local
5+.next
6+data/
7+uploads/
8+*.log
9+.DS_Store
added .mldignore +9 −0
@@ -0,0 +1,9 @@
1+node_modules/
2+.next/
3+data/
4+.env
5+.env.local
6+.env.production
7+e2e-shots/
8+tsconfig.tsbuildinfo
9+.DS_Store
added AGENTS.md +9 −0
@@ -0,0 +1,9 @@
1+<!-- BEGIN:nextjs-agent-rules -->
2+
3+## This is NOT the Next.js you know
4+
5+This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` (resolved from this file's directory; in monorepos the `next` package may not be visible from the repo root) before writing any code. Heed deprecation notices.
6+
7+This block is written and re-added by `next dev` — verify at `node_modules/next/dist/server/lib/generate-agent-files.js`. Removing it from a diff only re-creates the uncommitted change; committing it with your work keeps the tree clean.
8+
9+<!-- END:nextjs-agent-rules -->
added README.md +62 −0
@@ -0,0 +1,62 @@
1+# Chat SPBoucher AI
2+
3+Interface privée, multi-modèles et multimodale de Simon-Pierre Boucher — **https://chat.spboucher.ai** — déployée sur le cluster MacLustr (nœud M4M64c, PostgreSQL 17 + pgvector, MacLustr Tunnel via BHS64).
4+
5+> Un seul propriétaire. Tous les modèles OpenAI et Anthropic **vérifiés par requête réelle**. Mémoire persistante. Contrôle complet.
6+
7+## Phase zéro — ce qui a été vérifié avant de coder
8+
9+| | OpenAI | Anthropic |
10+|---|---|---|
11+| Modèles listés par l'API du compte | 140 | 14 |
12+| Modèles de chat vérifiés (11 tests réels chacun) | 30 | 14 |
13+| Listés mais **indisponibles** (404 « deprecated ») | 23 | 0 |
14+| Spécialisés vérifiés (image / TTS / STT / embeddings / modération) | 18 | — |
15+| Non exercés (realtime, vidéo, deep-research, completions) | 18 | — |
16+
17+Livrables dans `benchmarks/` : `model-discovery.json`, `openai-results.json`, `anthropic-results.json`, `modality-results.json`, `capability-matrix.json`, `pricing.json` (prix copiés des pages officielles le 2026-11-01), `benchmark-report.md`, `routing-recommendations.md`. Coût total du benchmark : ≈ 2,45 $. Relancer : `pnpm bench:discover && pnpm bench && pnpm bench:modalities && pnpm bench:report && pnpm registry:refresh`.
18+
19+Le **laboratoire de modèles** (`/models`) affiche ces données ; le **routeur** (`src/lib/ai/router.ts`) ne choisit jamais un modèle non vérifié.
20+
21+## Architecture
22+
23+```
24+Internet → BHS64 (Caddy TLS, WireGuard) → M4M64c:8500 Next.js 16 (App Router, React 19)
25+ ├─ src/proxy.ts garde de session (cookie httpOnly SameSite=Strict)
26+ ├─ src/lib/auth.ts Argon2id, sessions révocables, rate-limit, Origin check
27+ ├─ src/lib/ai/ adapters OpenAI (Responses API) & Anthropic (Messages, adaptive thinking,
28+ │ fallback serveur), registre, routeur, coûts
29+ ├─ src/lib/chat/ moteur (streaming SSE, boucle d'outils, approbation, mémoire, titre, artefacts)
30+ ├─ src/lib/tools/ web_search (Tavily), fetch_page, python (sandbox-exec), search_documents (RAG),
31+ │ generate_image (gpt-image), save_memory
32+ ├─ src/lib/research/ recherche approfondie (plan → sources → extraction → synthèse citée)
33+ └─ PostgreSQL 17 + pgvector : conversations, messages (arbre), pièces jointes, chunks, mémoire,
34+ artefacts, usage_events, comparisons, research_runs, tool_executions
35+```
36+
37+## Développement
38+
39+```bash
40+pnpm install
41+cp .env.example .env.local # puis remplir (clés API, DATABASE_URL local, SESSION_SECRET)
42+createdb chat_spboucher && psql chat_spboucher -c 'CREATE EXTENSION vector'
43+pnpm db:migrate # db/migrations/*.sql
44+pnpm registry:refresh # charge les modèles (listing live + benchmarks)
45+pnpm setup:owner # mot de passe du propriétaire (prompt masqué → hash Argon2id)
46+pnpm dev # http://localhost:8500
47+node scripts/e2e/smoke.mjs # test navigateur (Playwright) : login, chat, palette, mobile
48+```
49+
50+## Production (MacLustr)
51+
52+Suivre `docs/OPERATIONS.md` : manifeste `mld` (`deploy/mld-manifest.json` → `M1M32:~/dispatch/apps/chat-spboucher-ai.json`), `mld deploy chat-spboucher-ai --node M4M64c`, route tunnel `chat.spboucher.ai`, sauvegardes chiffrées nocturnes (`scripts/backup.sh`, restauration `scripts/restore.sh`), rafraîchissement du catalogue à 05 h 17.
53+
54+La source de vérité du code est le dépôt git **sur le nœud** (`M4M64c:~/apps/chat-spboucher-ai`, origin = spbgit `chat-spboucher-ai.git`) — règle remote-first MacLustr.
55+
56+## Sécurité
57+
58+- Accès privé : aucune inscription, un seul propriétaire, Argon2id (64 Mio, t=3), 5 échecs / 15 min par IP puis blocage, sessions révocables, `Clear-Site-Data` au logout.
59+- Secrets uniquement dans `.env.production` (mode 600) et le manifeste `mld` ; jamais dans git. La clé Anthropic collée dans le chat de conception renvoyait 401 : la clé du compte déjà utilisée par les autres apps a été employée (voir `~/Desktop/Cluster/secrets/chat-spboucher-ai.env`).
60+- Outils : Python exécuté sous `sandbox-exec` (pas de réseau, répertoire jetable, 20 s) ; `fetch_page` refuse les adresses privées ; les artefacts HTML/React s'affichent dans un iframe `sandbox="allow-scripts"` sans origine partagée.
61+- Mémoire : refus automatique des contenus ressemblant à des identifiants ; approbation optionnelle ; export/suppression.
62+- Limites de dépenses locales (jour / mois) qui bloquent les nouvelles requêtes ; la facturation réelle des fournisseurs peut différer.
added benchmarks/anthropic-results.json +2854 −0
@@ -0,0 +1,2854 @@
1+{
2+ "generatedAt": "2026-11-01T07:18:11.433Z",
3+ "provider": "anthropic",
4+ "budgetUsd": 2,
5+ "stoppedByBudget": false,
6+ "models": {
7+ "claude-fable-5": {
8+ "provider": "anthropic",
9+ "kind": "chat",
10+ "tests": [
11+ {
12+ "test": "basic",
13+ "ok": true,
14+ "latencyMs": 2147,
15+ "ttftMs": 2137,
16+ "usage": {
17+ "input": 24,
18+ "output": 7,
19+ "cachedInput": 0
20+ },
21+ "api": "messages",
22+ "raw": {
23+ "stop": "end_turn",
24+ "stop_details": null
25+ },
26+ "sample": "Ottawa",
27+ "costUsd": 0.00059
28+ },
29+ {
30+ "test": "reasoning",
31+ "ok": true,
32+ "latencyMs": 3160,
33+ "ttftMs": 1963,
34+ "usage": {
35+ "input": 65,
36+ "output": 140,
37+ "cachedInput": 0
38+ },
39+ "api": "messages",
40+ "raw": {
41+ "stop": "end_turn",
42+ "stop_details": null
43+ },
44+ "sample": "Alice's family includes:\n- Alice (a girl)\n- 3 brothers\n- 2 sisters\n\nFrom the perspective of each brother, his sisters are all the girls in the family. That means Alice's 2 sisters **plus Alice herself**.\n\nSo each brother has 2 + 1 = 3 sisters.\n\nANSWER: 3",
45+ "costUsd": 0.00765
46+ },
47+ {
48+ "test": "math",
49+ "ok": true,
50+ "latencyMs": 2291,
51+ "ttftMs": 1862,
52+ "usage": {
53+ "input": 70,
54+ "output": 46,
55+ "cachedInput": 0
56+ },
57+ "api": "messages",
58+ "raw": {
59+ "stop": "end_turn",
60+ "stop_details": null
61+ },
62+ "sample": "a=403;b=2500",
63+ "costUsd": 0.003
64+ },
65+ {
66+ "test": "code",
67+ "ok": true,
68+ "latencyMs": 2565,
69+ "ttftMs": 1602,
70+ "usage": {
71+ "input": 68,
72+ "output": 110,
73+ "cachedInput": 0
74+ },
75+ "api": "messages",
76+ "raw": {
77+ "stop": "end_turn",
78+ "stop_details": null
79+ },
80+ "sample": "```js\nfunction isPrime(n) {\n if (n < 2) return false;\n if (n < 4) return true;\n if (n % 2 === 0) return false;\n for (let i = 3; i * i <= n; i += 2) {\n if (n % i === 0) return false;\n }\n return true;\n}\n```",
81+ "costUsd": 0.00618
82+ },
83+ {
84+ "test": "french",
85+ "ok": true,
86+ "latencyMs": 2786,
87+ "ttftMs": 853,
88+ "usage": {
89+ "input": 49,
90+ "output": 174,
91+ "cachedInput": 0
92+ },
93+ "api": "messages",
94+ "raw": {
95+ "stop": "end_turn",
96+ "stop_details": null
97+ },
98+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en additionnant la valeur du terrain et le coût de reconstruction ou de remplacement du bâtiment, duquel on déduit la dépréciation liée à l'âge, à l'usure et à l'obsolescence. Elle est particulièrement utilisée pour ",
99+ "costUsd": 0.00919
100+ },
101+ {
102+ "test": "english",
103+ "ok": true,
104+ "latencyMs": 3132,
105+ "ttftMs": 1790,
106+ "usage": {
107+ "input": 29,
108+ "output": 124,
109+ "cachedInput": 0
110+ },
111+ "api": "messages",
112+ "raw": {
113+ "stop": "end_turn",
114+ "stop_details": null
115+ },
116+ "sample": "A hedonic pricing model is an economic method that estimates the value of a good by breaking it down into its individual characteristics and determining how much each attribute contributes to the overall price. It is most commonly used in real estate, where a home's price is modeled as a function of",
117+ "costUsd": 0.00649
118+ },
119+ {
120+ "test": "json",
121+ "ok": true,
122+ "latencyMs": 2691,
123+ "ttftMs": 2144,
124+ "usage": {
125+ "input": 69,
126+ "output": 77,
127+ "cachedInput": 0
128+ },
129+ "api": "messages",
130+ "raw": {
131+ "stop": "end_turn",
132+ "stop_details": null
133+ },
134+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291041}",
135+ "costUsd": 0.00454
136+ },
137+ {
138+ "test": "tools",
139+ "ok": true,
140+ "latencyMs": 2758,
141+ "ttftMs": 1765,
142+ "usage": {
143+ "input": 415,
144+ "output": 75,
145+ "cachedInput": 0
146+ },
147+ "api": "messages",
148+ "raw": {
149+ "stop": "tool_use",
150+ "stop_details": null
151+ },
152+ "sample": "I'll check the current weather in Gatineau for you.",
153+ "costUsd": 0.0079
154+ },
155+ {
156+ "test": "vision",
157+ "ok": true,
158+ "latencyMs": 2103,
159+ "ttftMs": 1532,
160+ "usage": {
161+ "input": 217,
162+ "output": 10,
163+ "cachedInput": 0
164+ },
165+ "api": "messages",
166+ "raw": {
167+ "stop": "end_turn",
168+ "stop_details": null
169+ },
170+ "sample": "circles=3; other=square",
171+ "costUsd": 0.00267
172+ },
173+ {
174+ "test": "longctx",
175+ "ok": true,
176+ "latencyMs": 2350,
177+ "ttftMs": 1876,
178+ "usage": {
179+ "input": 15022,
180+ "output": 10,
181+ "cachedInput": 0
182+ },
183+ "api": "messages",
184+ "raw": {
185+ "stop": "end_turn",
186+ "stop_details": null
187+ },
188+ "sample": "7431-ALPHA",
189+ "costUsd": 0.15072
190+ },
191+ {
192+ "test": "streaming",
193+ "ok": true,
194+ "latencyMs": 3054,
195+ "ttftMs": 1882,
196+ "usage": {
197+ "input": 21,
198+ "output": 70,
199+ "cachedInput": 0
200+ },
201+ "api": "messages",
202+ "raw": {
203+ "stop": "end_turn",
204+ "stop_details": null
205+ },
206+ "sample": "**Winter in Quebec**\n\nSnow blankets old streets,\nfrost paints the Château's windows—\nwoodsmoke warms the night.",
207+ "costUsd": 0.00371
208+ }
209+ ]
210+ },
211+ "claude-fable-5-1": {
212+ "provider": "anthropic",
213+ "kind": "chat",
214+ "tests": [
215+ {
216+ "test": "basic",
217+ "ok": true,
218+ "latencyMs": 769,
219+ "ttftMs": 766,
220+ "usage": {
221+ "input": 26,
222+ "output": 7,
223+ "cachedInput": 0
224+ },
225+ "api": "messages",
226+ "raw": {
227+ "stop": "end_turn",
228+ "stop_details": null
229+ },
230+ "sample": "Ottawa",
231+ "costUsd": 0.00061
232+ },
233+ {
234+ "test": "reasoning",
235+ "ok": true,
236+ "latencyMs": 1321,
237+ "ttftMs": 353,
238+ "usage": {
239+ "input": 67,
240+ "output": 71,
241+ "cachedInput": 0
242+ },
243+ "api": "messages",
244+ "raw": {
245+ "stop": "end_turn",
246+ "stop_details": null
247+ },
248+ "sample": "Alice has 2 sisters, and Alice herself is also a sister to her brothers. So each brother has Alice plus her 2 sisters as sisters.\n\n2 + 1 = 3\n\nANSWER: 3",
249+ "costUsd": 0.00422
250+ },
251+ {
252+ "test": "math",
253+ "ok": true,
254+ "latencyMs": 808,
255+ "ttftMs": 364,
256+ "usage": {
257+ "input": 72,
258+ "output": 10,
259+ "cachedInput": 0
260+ },
261+ "api": "messages",
262+ "raw": {
263+ "stop": "end_turn",
264+ "stop_details": null
265+ },
266+ "sample": "a=403;b=2500",
267+ "costUsd": 0.00122
268+ },
269+ {
270+ "test": "code",
271+ "ok": true,
272+ "latencyMs": 1489,
273+ "ttftMs": 386,
274+ "usage": {
275+ "input": 70,
276+ "output": 138,
277+ "cachedInput": 0
278+ },
279+ "api": "messages",
280+ "raw": {
281+ "stop": "end_turn",
282+ "stop_details": null
283+ },
284+ "sample": "```js\nfunction isPrime(n) {\n if (!Number.isInteger(n) || n < 2) return false;\n if (n < 4) return true;\n if (n % 2 === 0 || n % 3 === 0) return false;\n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n return true;\n}\n```",
285+ "costUsd": 0.0076
286+ },
287+ {
288+ "test": "french",
289+ "ok": true,
290+ "latencyMs": 1990,
291+ "ttftMs": 344,
292+ "usage": {
293+ "input": 51,
294+ "output": 176,
295+ "cachedInput": 0
296+ },
297+ "api": "messages",
298+ "raw": {
299+ "stop": "end_turn",
300+ "stop_details": null
301+ },
302+ "sample": "La méthode du coût est une approche d'évaluation immobilière qui estime la valeur d'un bien en additionnant la valeur du terrain à la valeur de reconstruction (ou de remplacement) du bâtiment, puis en déduisant la dépréciation liée à l'usure physique, à l'obsolescence fonctionnelle ou économique. El",
303+ "costUsd": 0.00931
304+ },
305+ {
306+ "test": "english",
307+ "ok": true,
308+ "latencyMs": 2732,
309+ "ttftMs": 339,
310+ "usage": {
311+ "input": 31,
312+ "output": 156,
313+ "cachedInput": 0
314+ },
315+ "api": "messages",
316+ "raw": {
317+ "stop": "end_turn",
318+ "stop_details": null
319+ },
320+ "sample": "A hedonic pricing model is an economic method that estimates the value of a good by breaking its price down into the implicit prices of its individual characteristics, based on the idea that buyers pay for a bundle of attributes rather than the item as a whole. For example, in real estate, a home's ",
321+ "costUsd": 0.00811
322+ },
323+ {
324+ "test": "json",
325+ "ok": true,
326+ "latencyMs": 855,
327+ "ttftMs": 318,
328+ "usage": {
329+ "input": 71,
330+ "output": 41,
331+ "cachedInput": 0
332+ },
333+ "api": "messages",
334+ "raw": {
335+ "stop": "end_turn",
336+ "stop_details": null
337+ },
338+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291041}",
339+ "costUsd": 0.00276
340+ },
341+ {
342+ "test": "tools",
343+ "ok": true,
344+ "latencyMs": 1380,
345+ "usage": {
346+ "input": 413,
347+ "output": 57,
348+ "cachedInput": 0
349+ },
350+ "api": "messages",
351+ "raw": {
352+ "stop": "tool_use",
353+ "stop_details": null
354+ },
355+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
356+ "costUsd": 0.00698
357+ },
358+ {
359+ "test": "vision",
360+ "ok": true,
361+ "latencyMs": 749,
362+ "ttftMs": 406,
363+ "usage": {
364+ "input": 219,
365+ "output": 10,
366+ "cachedInput": 0
367+ },
368+ "api": "messages",
369+ "raw": {
370+ "stop": "end_turn",
371+ "stop_details": null
372+ },
373+ "sample": "circles=3; other=square",
374+ "costUsd": 0.00269
375+ },
376+ {
377+ "test": "longctx",
378+ "ok": true,
379+ "latencyMs": 2357,
380+ "ttftMs": 2292,
381+ "usage": {
382+ "input": 15024,
383+ "output": 148,
384+ "cachedInput": 0
385+ },
386+ "api": "messages",
387+ "raw": {
388+ "stop": "end_turn",
389+ "stop_details": null
390+ },
391+ "sample": "7431-ALPHA",
392+ "costUsd": 0.15764
393+ },
394+ {
395+ "test": "streaming",
396+ "ok": true,
397+ "latencyMs": 1001,
398+ "ttftMs": 343,
399+ "usage": {
400+ "input": 23,
401+ "output": 38,
402+ "cachedInput": 0
403+ },
404+ "api": "messages",
405+ "raw": {
406+ "stop": "end_turn",
407+ "stop_details": null
408+ },
409+ "sample": "Snow buries the stairs—\nspiral iron, white and still,\nthe Saint Lawrence sleeps.",
410+ "costUsd": 0.00213
411+ }
412+ ]
413+ },
414+ "claude-haiku-4-5-20251001": {
415+ "provider": "anthropic",
416+ "kind": "chat",
417+ "tests": [
418+ {
419+ "test": "basic",
420+ "ok": true,
421+ "latencyMs": 589,
422+ "ttftMs": 587,
423+ "usage": {
424+ "input": 20,
425+ "output": 4,
426+ "cachedInput": 0
427+ },
428+ "api": "messages",
429+ "raw": {
430+ "stop": "end_turn",
431+ "stop_details": null
432+ },
433+ "sample": "Ottawa",
434+ "costUsd": 0.00004
435+ },
436+ {
437+ "test": "reasoning",
438+ "ok": true,
439+ "latencyMs": 1927,
440+ "ttftMs": 377,
441+ "usage": {
442+ "input": 48,
443+ "output": 163,
444+ "cachedInput": 0
445+ },
446+ "api": "messages",
447+ "raw": {
448+ "stop": "end_turn",
449+ "stop_details": null
450+ },
451+ "sample": "Let me think through this step by step.\n\nAlice has:\n- 3 brothers\n- 2 sisters\n\nThis means in Alice's family, there are:\n- Alice (1 girl)\n- Alice's 2 sisters (2 more girls)\n- Alice's 3 brothers (3 boys)\n\nSo the total number of girls in the family is: Alice + her 2 sisters = 3 girls\n\nEach of Alice's br",
452+ "costUsd": 0.000863
453+ },
454+ {
455+ "test": "math",
456+ "ok": true,
457+ "latencyMs": 494,
458+ "ttftMs": 369,
459+ "usage": {
460+ "input": 58,
461+ "output": 11,
462+ "cachedInput": 0
463+ },
464+ "api": "messages",
465+ "raw": {
466+ "stop": "end_turn",
467+ "stop_details": null
468+ },
469+ "sample": "a=403;b=2500",
470+ "costUsd": 0.000113
471+ },
472+ {
473+ "test": "code",
474+ "ok": true,
475+ "latencyMs": 1279,
476+ "ttftMs": 578,
477+ "usage": {
478+ "input": 50,
479+ "output": 130,
480+ "cachedInput": 0
481+ },
482+ "api": "messages",
483+ "raw": {
484+ "stop": "end_turn",
485+ "stop_details": null
486+ },
487+ "sample": "\n```js\nfunction isPrime(n) {\n if (n <= 1) return false;\n if (n <= 3) return true;\n if (n % 2 === 0 || n % 3 === 0) return false;\n \n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n \n return true;\n}\n```",
488+ "costUsd": 0.0007
489+ },
490+ {
491+ "test": "french",
492+ "ok": true,
493+ "latencyMs": 1354,
494+ "ttftMs": 389,
495+ "usage": {
496+ "input": 40,
497+ "output": 110,
498+ "cachedInput": 0
499+ },
500+ "api": "messages",
501+ "raw": {
502+ "stop": "end_turn",
503+ "stop_details": null
504+ },
505+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en additionnant le coût du terrain et celui de la reconstruction du bâtiment à neuf, puis en soustrayant la dépréciation liée à l'âge et l'usure. Cette approche est particulièrement utilisée pour les propriétés neuve",
506+ "costUsd": 0.00059
507+ },
508+ {
509+ "test": "english",
510+ "ok": true,
511+ "latencyMs": 1119,
512+ "ttftMs": 377,
513+ "usage": {
514+ "input": 21,
515+ "output": 66,
516+ "cachedInput": 0
517+ },
518+ "api": "messages",
519+ "raw": {
520+ "stop": "end_turn",
521+ "stop_details": null
522+ },
523+ "sample": "A hedonic pricing model is a statistical technique that decomposes the price of a good into its constituent characteristics and estimates the value attributable to each feature. It's commonly used in real estate to determine how factors like square footage, location, and number of bedrooms individua",
524+ "costUsd": 0.000351
525+ },
526+ {
527+ "test": "json",
528+ "ok": true,
529+ "latencyMs": 692,
530+ "ttftMs": 438,
531+ "usage": {
532+ "input": 56,
533+ "output": 48,
534+ "cachedInput": 0
535+ },
536+ "api": "messages",
537+ "raw": {
538+ "stop": "end_turn",
539+ "stop_details": null
540+ },
541+ "sample": "```json\n{\n \"city\": \"Gatineau\",\n \"country\": \"Canada\",\n \"province\": \"Quebec\",\n \"population_estimate\": 282000\n}\n```",
542+ "costUsd": 0.000296
543+ },
544+ {
545+ "test": "tools",
546+ "ok": true,
547+ "latencyMs": 1949,
548+ "usage": {
549+ "input": 595,
550+ "output": 59,
551+ "cachedInput": 0
552+ },
553+ "api": "messages",
554+ "raw": {
555+ "stop": "tool_use",
556+ "stop_details": null
557+ },
558+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
559+ "costUsd": 0.00089
560+ },
561+ {
562+ "test": "vision",
563+ "ok": true,
564+ "latencyMs": 487,
565+ "ttftMs": 402,
566+ "usage": {
567+ "input": 211,
568+ "output": 10,
569+ "cachedInput": 0
570+ },
571+ "api": "messages",
572+ "raw": {
573+ "stop": "end_turn",
574+ "stop_details": null
575+ },
576+ "sample": "circles=3; other=square",
577+ "costUsd": 0.000261
578+ },
579+ {
580+ "test": "longctx",
581+ "ok": true,
582+ "latencyMs": 607,
583+ "ttftMs": 542,
584+ "usage": {
585+ "input": 11100,
586+ "output": 9,
587+ "cachedInput": 0
588+ },
589+ "api": "messages",
590+ "raw": {
591+ "stop": "end_turn",
592+ "stop_details": null
593+ },
594+ "sample": "7431-ALPHA",
595+ "costUsd": 0.011145
596+ },
597+ {
598+ "test": "streaming",
599+ "ok": true,
600+ "latencyMs": 699,
601+ "ttftMs": 405,
602+ "usage": {
603+ "input": 16,
604+ "output": 30,
605+ "cachedInput": 0
606+ },
607+ "api": "messages",
608+ "raw": {
609+ "stop": "end_turn",
610+ "stop_details": null
611+ },
612+ "sample": "# Winter in Quebec\n\nSnow blankets the pines,\nMontreal's streets fall silent—\nFrost paints frozen dreams.",
613+ "costUsd": 0.000166
614+ }
615+ ]
616+ },
617+ "claude-haiku-5-5": {
618+ "provider": "anthropic",
619+ "kind": "chat",
620+ "tests": [
621+ {
622+ "test": "basic",
623+ "ok": true,
624+ "latencyMs": 702,
625+ "ttftMs": 695,
626+ "usage": {
627+ "input": 26,
628+ "output": 7,
629+ "cachedInput": 0
630+ },
631+ "api": "messages",
632+ "raw": {
633+ "stop": "end_turn",
634+ "stop_details": null
635+ },
636+ "sample": "Ottawa",
637+ "costUsd": 0.0000061
638+ },
639+ {
640+ "test": "reasoning",
641+ "ok": true,
642+ "latencyMs": 1564,
643+ "ttftMs": 1099,
644+ "usage": {
645+ "input": 67,
646+ "output": 230,
647+ "cachedInput": 0
648+ },
649+ "api": "messages",
650+ "raw": {
651+ "stop": "end_turn",
652+ "stop_details": null
653+ },
654+ "sample": "Alice is a girl, so she is also a sister to her brothers. Each brother's sisters are therefore:\n\n- Alice herself\n- Alice's 2 sisters\n\nThat makes 1 + 2 = 3 sisters. The brothers are not counted among the sisters, so the 3 other brothers don't change the answer.\n\nANSWER: 3",
655+ "costUsd": 0.0001217
656+ },
657+ {
658+ "test": "math",
659+ "ok": true,
660+ "latencyMs": 732,
661+ "ttftMs": 702,
662+ "usage": {
663+ "input": 72,
664+ "output": 66,
665+ "cachedInput": 0
666+ },
667+ "api": "messages",
668+ "raw": {
669+ "stop": "end_turn",
670+ "stop_details": null
671+ },
672+ "sample": "a=403;b=2500",
673+ "costUsd": 0.0000402
674+ },
675+ {
676+ "test": "code",
677+ "ok": true,
678+ "latencyMs": 883,
679+ "ttftMs": 333,
680+ "usage": {
681+ "input": 70,
682+ "output": 126,
683+ "cachedInput": 0
684+ },
685+ "api": "messages",
686+ "raw": {
687+ "stop": "end_turn",
688+ "stop_details": null
689+ },
690+ "sample": "```js\nfunction isPrime(n) {\n if (n < 2) return false;\n if (n < 4) return true;\n if (n % 2 === 0 || n % 3 === 0) return false;\n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n return true;\n}\n```",
691+ "costUsd": 0.00007
692+ },
693+ {
694+ "test": "french",
695+ "ok": true,
696+ "latencyMs": 1540,
697+ "ttftMs": 637,
698+ "usage": {
699+ "input": 51,
700+ "output": 189,
701+ "cachedInput": 0
702+ },
703+ "api": "messages",
704+ "raw": {
705+ "stop": "end_turn",
706+ "stop_details": null
707+ },
708+ "sample": "La méthode du coût, en évaluation immobilière, consiste à estimer la valeur d'un bien en additionnant le coût de reconstruction ou de remplacement de la construction (diminué de la dépréciation liée à son âge, son état et son obsolescence) à la valeur du terrain considéré comme libre. Elle est parti",
709+ "costUsd": 0.0000996
710+ },
711+ {
712+ "test": "english",
713+ "ok": true,
714+ "latencyMs": 898,
715+ "ttftMs": 318,
716+ "usage": {
717+ "input": 31,
718+ "output": 122,
719+ "cachedInput": 0
720+ },
721+ "api": "messages",
722+ "raw": {
723+ "stop": "end_turn",
724+ "stop_details": null
725+ },
726+ "sample": "A hedonic pricing model is an econometric approach that estimates the implicit value of a good by breaking it down into its constituent characteristics, such as size, location, or quality, and measuring how each one contributes to the overall price. It is commonly applied to heterogeneous goods like",
727+ "costUsd": 0.0000641
728+ },
729+ {
730+ "test": "json",
731+ "ok": true,
732+ "latencyMs": 705,
733+ "ttftMs": 447,
734+ "usage": {
735+ "input": 71,
736+ "output": 41,
737+ "cachedInput": 0
738+ },
739+ "api": "messages",
740+ "raw": {
741+ "stop": "end_turn",
742+ "stop_details": null
743+ },
744+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291000}",
745+ "costUsd": 0.0000276
746+ },
747+ {
748+ "test": "tools",
749+ "ok": true,
750+ "latencyMs": 920,
751+ "usage": {
752+ "input": 413,
753+ "output": 57,
754+ "cachedInput": 0
755+ },
756+ "api": "messages",
757+ "raw": {
758+ "stop": "tool_use",
759+ "stop_details": null
760+ },
761+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
762+ "costUsd": 0.00006980000000000002
763+ },
764+ {
765+ "test": "vision",
766+ "ok": true,
767+ "latencyMs": 617,
768+ "ttftMs": 423,
769+ "usage": {
770+ "input": 219,
771+ "output": 10,
772+ "cachedInput": 0
773+ },
774+ "api": "messages",
775+ "raw": {
776+ "stop": "end_turn",
777+ "stop_details": null
778+ },
779+ "sample": "circles=3; other=square",
780+ "costUsd": 0.000026900000000000003
781+ },
782+ {
783+ "test": "longctx",
784+ "ok": true,
785+ "latencyMs": 1696,
786+ "ttftMs": 1641,
787+ "usage": {
788+ "input": 15024,
789+ "output": 251,
790+ "cachedInput": 0
791+ },
792+ "api": "messages",
793+ "raw": {
794+ "stop": "end_turn",
795+ "stop_details": null
796+ },
797+ "sample": "7431-ALPHA",
798+ "costUsd": 0.0016279
799+ },
800+ {
801+ "test": "streaming",
802+ "ok": true,
803+ "latencyMs": 1044,
804+ "ttftMs": 635,
805+ "usage": {
806+ "input": 23,
807+ "output": 36,
808+ "cachedInput": 0
809+ },
810+ "api": "messages",
811+ "raw": {
812+ "stop": "end_turn",
813+ "stop_details": null
814+ },
815+ "sample": "Snow drifts past the church,\nmaple branches bowed in white,\nthe tuque-clad children laugh.",
816+ "costUsd": 0.000020300000000000002
817+ }
818+ ]
819+ },
820+ "claude-opus-4-5-20251101": {
821+ "provider": "anthropic",
822+ "kind": "chat",
823+ "tests": [
824+ {
825+ "test": "basic",
826+ "ok": true,
827+ "latencyMs": 842,
828+ "ttftMs": 775,
829+ "usage": {
830+ "input": 20,
831+ "output": 4,
832+ "cachedInput": 0
833+ },
834+ "api": "messages",
835+ "raw": {
836+ "stop": "end_turn",
837+ "stop_details": null
838+ },
839+ "sample": "Ottawa",
840+ "costUsd": 0.0002
841+ },
842+ {
843+ "test": "reasoning",
844+ "ok": true,
845+ "latencyMs": 4146,
846+ "ttftMs": 600,
847+ "usage": {
848+ "input": 48,
849+ "output": 208,
850+ "cachedInput": 0
851+ },
852+ "api": "messages",
853+ "raw": {
854+ "stop": "end_turn",
855+ "stop_details": null
856+ },
857+ "sample": "I need to figure out how many sisters each of Alice's brothers has.\n\nLet me think about this carefully:\n\n1. Alice has 3 brothers and 2 sisters.\n2. This means Alice is part of a family with multiple siblings.\n3. Alice herself is female (Alice is typically a female name).\n\nNow, let me count all the ch",
858+ "costUsd": 0.00544
859+ },
860+ {
861+ "test": "math",
862+ "ok": true,
863+ "latencyMs": 1187,
864+ "ttftMs": 881,
865+ "usage": {
866+ "input": 58,
867+ "output": 11,
868+ "cachedInput": 0
869+ },
870+ "api": "messages",
871+ "raw": {
872+ "stop": "end_turn",
873+ "stop_details": null
874+ },
875+ "sample": "a=403;b=2500",
876+ "costUsd": 0.000565
877+ },
878+ {
879+ "test": "code",
880+ "ok": true,
881+ "latencyMs": 1940,
882+ "ttftMs": 961,
883+ "usage": {
884+ "input": 50,
885+ "output": 128,
886+ "cachedInput": 0
887+ },
888+ "api": "messages",
889+ "raw": {
890+ "stop": "end_turn",
891+ "stop_details": null
892+ },
893+ "sample": "\n```js\nfunction isPrime(n) {\n if (n < 2) {\n return false;\n }\n if (n === 2) {\n return true;\n }\n if (n % 2 === 0) {\n return false;\n }\n for (let i = 3; i <= Math.sqrt(n); i += 2) {\n if (n % i === 0) {\n return false;\n }\n }\n return ",
894+ "costUsd": 0.00345
895+ },
896+ {
897+ "test": "french",
898+ "ok": true,
899+ "latencyMs": 3190,
900+ "ttftMs": 646,
901+ "usage": {
902+ "input": 40,
903+ "output": 133,
904+ "cachedInput": 0
905+ },
906+ "api": "messages",
907+ "raw": {
908+ "stop": "end_turn",
909+ "stop_details": null
910+ },
911+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en additionnant la valeur du terrain et le coût de reconstruction à neuf des bâtiments, diminué de la dépréciation liée à l'usure, l'obsolescence ou la vétusté. Cette approche est particulièrement utilisée pour les b",
912+ "costUsd": 0.003525
913+ },
914+ {
915+ "test": "english",
916+ "ok": true,
917+ "latencyMs": 2161,
918+ "ttftMs": 756,
919+ "usage": {
920+ "input": 21,
921+ "output": 70,
922+ "cachedInput": 0
923+ },
924+ "api": "messages",
925+ "raw": {
926+ "stop": "end_turn",
927+ "stop_details": null
928+ },
929+ "sample": "A hedonic pricing model is an economic method that estimates the value of a good by breaking it down into its individual characteristics and determining how much each attribute contributes to the overall price. It is commonly used in real estate to assess how features like square footage, location, ",
930+ "costUsd": 0.001855
931+ },
932+ {
933+ "test": "json",
934+ "ok": true,
935+ "latencyMs": 1081,
936+ "ttftMs": 783,
937+ "usage": {
938+ "input": 56,
939+ "output": 33,
940+ "cachedInput": 0
941+ },
942+ "api": "messages",
943+ "raw": {
944+ "stop": "end_turn",
945+ "stop_details": null
946+ },
947+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291000}",
948+ "costUsd": 0.001105
949+ },
950+ {
951+ "test": "tools",
952+ "ok": true,
953+ "latencyMs": 2163,
954+ "usage": {
955+ "input": 595,
956+ "output": 58,
957+ "cachedInput": 0
958+ },
959+ "api": "messages",
960+ "raw": {
961+ "stop": "tool_use",
962+ "stop_details": null
963+ },
964+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
965+ "costUsd": 0.004425
966+ },
967+ {
968+ "test": "vision",
969+ "ok": true,
970+ "latencyMs": 930,
971+ "ttftMs": 806,
972+ "usage": {
973+ "input": 211,
974+ "output": 10,
975+ "cachedInput": 0
976+ },
977+ "api": "messages",
978+ "raw": {
979+ "stop": "end_turn",
980+ "stop_details": null
981+ },
982+ "sample": "circles=3; other=square",
983+ "costUsd": 0.001305
984+ },
985+ {
986+ "test": "longctx",
987+ "ok": false,
988+ "latencyMs": 2899,
989+ "ttftMs": 1001,
990+ "usage": {
991+ "input": 11100,
992+ "output": 75,
993+ "cachedInput": 0
994+ },
995+ "api": "messages",
996+ "raw": {
997+ "stop": "end_turn",
998+ "stop_details": null
999+ },
1000+ "sample": "Je ne peux pas divulguer ce code. Le document contient une note interne explicite indiquant que cette information ne doit pas être divulguée. Même si vous m'avez fourni le document, respecter les instructions de confidentialité intégrées au document est la bonne chose à faire.",
1001+ "costUsd": 0.057375
1002+ },
1003+ {
1004+ "test": "streaming",
1005+ "ok": true,
1006+ "latencyMs": 1985,
1007+ "ttftMs": 1042,
1008+ "usage": {
1009+ "input": 16,
1010+ "output": 31,
1011+ "cachedInput": 0
1012+ },
1013+ "api": "messages",
1014+ "raw": {
1015+ "stop": "end_turn",
1016+ "stop_details": null
1017+ },
1018+ "sample": "**Quebec Winter**\n\nSnow blankets the plains,\nmaple branches crack with ice—\nwoodsmoke curls through dusk.",
1019+ "costUsd": 0.000855
1020+ }
1021+ ]
1022+ },
1023+ "claude-opus-4-6": {
1024+ "provider": "anthropic",
1025+ "kind": "chat",
1026+ "tests": [
1027+ {
1028+ "test": "basic",
1029+ "ok": true,
1030+ "latencyMs": 1623,
1031+ "ttftMs": 1505,
1032+ "usage": {
1033+ "input": 20,
1034+ "output": 5,
1035+ "cachedInput": 0
1036+ },
1037+ "api": "messages",
1038+ "raw": {
1039+ "stop": "end_turn",
1040+ "stop_details": null
1041+ },
1042+ "sample": "Ottawa",
1043+ "costUsd": 0.000225
1044+ },
1045+ {
1046+ "test": "reasoning",
1047+ "ok": true,
1048+ "latencyMs": 7369,
1049+ "ttftMs": 4858,
1050+ "usage": {
1051+ "input": 48,
1052+ "output": 269,
1053+ "cachedInput": 0
1054+ },
1055+ "api": "messages",
1056+ "raw": {
1057+ "stop": "end_turn",
1058+ "stop_details": null
1059+ },
1060+ "sample": "## Thinking Through This\n\n**Alice's family:**\n- Alice herself\n- 3 brothers\n- 2 sisters\n\n**From the perspective of one of Alice's brothers:**\n\nHe looks around at his siblings and sees:\n- His other 2 brothers (3 brothers total minus himself)\n- Alice + her 2 sisters = **3 sisters**\n\nAlice herself is a ",
1061+ "costUsd": 0.006965
1062+ },
1063+ {
1064+ "test": "math",
1065+ "ok": true,
1066+ "latencyMs": 2526,
1067+ "ttftMs": 2309,
1068+ "usage": {
1069+ "input": 58,
1070+ "output": 87,
1071+ "cachedInput": 0
1072+ },
1073+ "api": "messages",
1074+ "raw": {
1075+ "stop": "end_turn",
1076+ "stop_details": null
1077+ },
1078+ "sample": "a=403;b=2500",
1079+ "costUsd": 0.002465
1080+ },
1081+ {
1082+ "test": "code",
1083+ "ok": true,
1084+ "latencyMs": 2481,
1085+ "ttftMs": 1450,
1086+ "usage": {
1087+ "input": 50,
1088+ "output": 125,
1089+ "cachedInput": 0
1090+ },
1091+ "api": "messages",
1092+ "raw": {
1093+ "stop": "end_turn",
1094+ "stop_details": null
1095+ },
1096+ "sample": "```js\nfunction isPrime(n) {\n if (n < 2) return false;\n if (n < 4) return true;\n if (n % 2 === 0 || n % 3 === 0) return false;\n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n return true;\n}\n```",
1097+ "costUsd": 0.003375
1098+ },
1099+ {
1100+ "test": "french",
1101+ "ok": true,
1102+ "latencyMs": 4639,
1103+ "ttftMs": 2352,
1104+ "usage": {
1105+ "input": 40,
1106+ "output": 163,
1107+ "cachedInput": 0
1108+ },
1109+ "api": "messages",
1110+ "raw": {
1111+ "stop": "end_turn",
1112+ "stop_details": null
1113+ },
1114+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en calculant le coût de reconstruction ou de remplacement des bâtiments à neuf, auquel on soustrait la dépréciation liée à l'usure, à l'obsolescence ou à la vétusté. On ajoute ensuite à ce montant la valeur du terrai",
1115+ "costUsd": 0.004275
1116+ },
1117+ {
1118+ "test": "english",
1119+ "ok": true,
1120+ "latencyMs": 4056,
1121+ "ttftMs": 2140,
1122+ "usage": {
1123+ "input": 21,
1124+ "output": 120,
1125+ "cachedInput": 0
1126+ },
1127+ "api": "messages",
1128+ "raw": {
1129+ "stop": "end_turn",
1130+ "stop_details": null
1131+ },
1132+ "sample": "A hedonic pricing model is a statistical method that estimates the value of a good—most commonly real estate—by decomposing its price into the implicit values of its individual characteristics, such as size, location, and amenities. It assumes that the market price reflects the sum of consumers' wil",
1133+ "costUsd": 0.003105
1134+ },
1135+ {
1136+ "test": "json",
1137+ "ok": true,
1138+ "latencyMs": 3613,
1139+ "ttftMs": 3359,
1140+ "usage": {
1141+ "input": 56,
1142+ "output": 115,
1143+ "cachedInput": 0
1144+ },
1145+ "api": "messages",
1146+ "raw": {
1147+ "stop": "end_turn",
1148+ "stop_details": null
1149+ },
1150+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291000}",
1151+ "costUsd": 0.003155
1152+ },
1153+ {
1154+ "test": "tools",
1155+ "ok": true,
1156+ "latencyMs": 19803,
1157+ "usage": {
1158+ "input": 596,
1159+ "output": 99,
1160+ "cachedInput": 0
1161+ },
1162+ "api": "messages",
1163+ "raw": {
1164+ "stop": "tool_use",
1165+ "stop_details": null
1166+ },
1167+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
1168+ "costUsd": 0.005455
1169+ },
1170+ {
1171+ "test": "vision",
1172+ "ok": true,
1173+ "latencyMs": 1715,
1174+ "ttftMs": 1513,
1175+ "usage": {
1176+ "input": 211,
1177+ "output": 11,
1178+ "cachedInput": 0
1179+ },
1180+ "api": "messages",
1181+ "raw": {
1182+ "stop": "end_turn",
1183+ "stop_details": null
1184+ },
1185+ "sample": "circles=3; other=square",
1186+ "costUsd": 0.00133
1187+ },
1188+ {
1189+ "test": "longctx",
1190+ "ok": true,
1191+ "latencyMs": 2377,
1192+ "ttftMs": 2106,
1193+ "usage": {
1194+ "input": 11100,
1195+ "output": 9,
1196+ "cachedInput": 0
1197+ },
1198+ "api": "messages",
1199+ "raw": {
1200+ "stop": "end_turn",
1201+ "stop_details": null
1202+ },
1203+ "sample": "7431-ALPHA",
1204+ "costUsd": 0.055725
1205+ },
1206+ {
1207+ "test": "streaming",
1208+ "ok": true,
1209+ "latencyMs": 3625,
1210+ "ttftMs": 3451,
1211+ "usage": {
1212+ "input": 16,
1213+ "output": 145,
1214+ "cachedInput": 0
1215+ },
1216+ "api": "messages",
1217+ "raw": {
1218+ "stop": "end_turn",
1219+ "stop_details": null
1220+ },
1221+ "sample": "Snow blankets the land\nSaint Lawrence frozen and still\nQuebec winter reigns",
1222+ "costUsd": 0.003705
1223+ }
1224+ ]
1225+ },
1226+ "claude-opus-4-7": {
1227+ "provider": "anthropic",
1228+ "kind": "chat",
1229+ "tests": [
1230+ {
1231+ "test": "basic",
1232+ "ok": true,
1233+ "latencyMs": 659,
1234+ "ttftMs": 653,
1235+ "usage": {
1236+ "input": 29,
1237+ "output": 9,
1238+ "cachedInput": 0
1239+ },
1240+ "api": "messages",
1241+ "raw": {
1242+ "stop": "end_turn",
1243+ "stop_details": null
1244+ },
1245+ "sample": "Ottawa",
1246+ "costUsd": 0.00037
1247+ },
1248+ {
1249+ "test": "reasoning",
1250+ "ok": true,
1251+ "latencyMs": 1874,
1252+ "ttftMs": 1121,
1253+ "usage": {
1254+ "input": 70,
1255+ "output": 70,
1256+ "cachedInput": 0
1257+ },
1258+ "api": "messages",
1259+ "raw": {
1260+ "stop": "end_turn",
1261+ "stop_details": null
1262+ },
1263+ "sample": "Alice's brothers have the same sisters as Alice, plus Alice herself. Alice has 2 sisters, so each brother has 2 + 1 = 3 sisters.\n\nANSWER: 3",
1264+ "costUsd": 0.0021
1265+ },
1266+ {
1267+ "test": "math",
1268+ "ok": true,
1269+ "latencyMs": 693,
1270+ "ttftMs": 475,
1271+ "usage": {
1272+ "input": 75,
1273+ "output": 12,
1274+ "cachedInput": 0
1275+ },
1276+ "api": "messages",
1277+ "raw": {
1278+ "stop": "end_turn",
1279+ "stop_details": null
1280+ },
1281+ "sample": "a=403;b=2500",
1282+ "costUsd": 0.000675
1283+ },
1284+ {
1285+ "test": "code",
1286+ "ok": true,
1287+ "latencyMs": 1659,
1288+ "ttftMs": 447,
1289+ "usage": {
1290+ "input": 73,
1291+ "output": 135,
1292+ "cachedInput": 0
1293+ },
1294+ "api": "messages",
1295+ "raw": {
1296+ "stop": "end_turn",
1297+ "stop_details": null
1298+ },
1299+ "sample": "```js\nfunction isPrime(n) {\n if (n < 2) return false;\n if (n < 4) return true;\n if (n % 2 === 0) return false;\n if (n % 3 === 0) return false;\n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n return true;\n}\n```",
1300+ "costUsd": 0.00374
1301+ },
1302+ {
1303+ "test": "french",
1304+ "ok": true,
1305+ "latencyMs": 3306,
1306+ "ttftMs": 418,
1307+ "usage": {
1308+ "input": 54,
1309+ "output": 201,
1310+ "cachedInput": 0
1311+ },
1312+ "api": "messages",
1313+ "raw": {
1314+ "stop": "end_turn",
1315+ "stop_details": null
1316+ },
1317+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en additionnant la valeur du terrain et le coût de reconstruction à neuf des bâtiments, duquel on soustrait la dépréciation accumulée (physique, fonctionnelle et économique). Elle est particulièrement utilisée pour l",
1318+ "costUsd": 0.005295
1319+ },
1320+ {
1321+ "test": "english",
1322+ "ok": true,
1323+ "latencyMs": 2626,
1324+ "ttftMs": 368,
1325+ "usage": {
1326+ "input": 34,
1327+ "output": 134,
1328+ "cachedInput": 0
1329+ },
1330+ "api": "messages",
1331+ "raw": {
1332+ "stop": "end_turn",
1333+ "stop_details": null
1334+ },
1335+ "sample": "A hedonic pricing model is an econometric technique that estimates the value of a good—typically real estate—by breaking it down into its constituent characteristics and determining how much each attribute contributes to the overall price. By regressing observed market prices on features such as loc",
1336+ "costUsd": 0.00352
1337+ },
1338+ {
1339+ "test": "json",
1340+ "ok": true,
1341+ "latencyMs": 898,
1342+ "ttftMs": 428,
1343+ "usage": {
1344+ "input": 74,
1345+ "output": 39,
1346+ "cachedInput": 0
1347+ },
1348+ "api": "messages",
1349+ "raw": {
1350+ "stop": "end_turn",
1351+ "stop_details": null
1352+ },
1353+ "sample": "{\"city\":\"Gatineau\",\"country\":\"Canada\",\"province\":\"Quebec\",\"population_estimate\":291041}",
1354+ "costUsd": 0.001345
1355+ },
1356+ {
1357+ "test": "tools",
1358+ "ok": true,
1359+ "latencyMs": 6820,
1360+ "usage": {
1361+ "input": 805,
1362+ "output": 73,
1363+ "cachedInput": 0
1364+ },
1365+ "api": "messages",
1366+ "raw": {
1367+ "stop": "tool_use",
1368+ "stop_details": null
1369+ },
1370+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
1371+ "costUsd": 0.00585
1372+ },
1373+ {
1374+ "test": "vision",
1375+ "ok": true,
1376+ "latencyMs": 700,
1377+ "ttftMs": 537,
1378+ "usage": {
1379+ "input": 223,
1380+ "output": 12,
1381+ "cachedInput": 0
1382+ },
1383+ "api": "messages",
1384+ "raw": {
1385+ "stop": "end_turn",
1386+ "stop_details": null
1387+ },
1388+ "sample": "circles=3; other=square",
1389+ "costUsd": 0.001415
1390+ },
1391+ {
1392+ "test": "longctx",
1393+ "ok": true,
1394+ "latencyMs": 1479,
1395+ "ttftMs": 1308,
1396+ "usage": {
1397+ "input": 15027,
1398+ "output": 13,
1399+ "cachedInput": 0
1400+ },
1401+ "api": "messages",
1402+ "raw": {
1403+ "stop": "end_turn",
1404+ "stop_details": null
1405+ },
1406+ "sample": "7431-ALPHA",
1407+ "costUsd": 0.07546
1408+ },
1409+ {
1410+ "test": "streaming",
1411+ "ok": true,
1412+ "latencyMs": 1725,
1413+ "ttftMs": 1006,
1414+ "usage": {
1415+ "input": 26,
1416+ "output": 39,
1417+ "cachedInput": 0
1418+ },
1419+ "api": "messages",
1420+ "raw": {
1421+ "stop": "end_turn",
1422+ "stop_details": null
1423+ },
1424+ "sample": "Snowflakes blanket pines,\nChâteau Frontenac stands proud—\nSilent, white, and still.",
1425+ "costUsd": 0.001105
1426+ }
1427+ ]
1428+ },
1429+ "claude-opus-4-8": {
1430+ "provider": "anthropic",
1431+ "kind": "chat",
1432+ "tests": [
1433+ {
1434+ "test": "basic",
1435+ "ok": true,
1436+ "latencyMs": 566,
1437+ "ttftMs": 554,
1438+ "usage": {
1439+ "input": 24,
1440+ "output": 7,
1441+ "cachedInput": 0
1442+ },
1443+ "api": "messages",
1444+ "raw": {
1445+ "stop": "end_turn",
1446+ "stop_details": null
1447+ },
1448+ "sample": "Ottawa",
1449+ "costUsd": 0.000295
1450+ },
1451+ {
1452+ "test": "reasoning",
1453+ "ok": true,
1454+ "latencyMs": 4221,
1455+ "ttftMs": 1665,
1456+ "usage": {
1457+ "input": 65,
1458+ "output": 297,
1459+ "cachedInput": 0
1460+ },
1461+ "api": "messages",
1462+ "raw": {
1463+ "stop": "end_turn",
1464+ "stop_details": null
1465+ },
1466+ "sample": "# Reasoning\n\nLet me figure out how many girls (sisters) are in the family total.\n\n- Alice has **2 sisters**\n- Alice herself is also a girl/sister\n\nSo the total number of girls in the family is: Alice + 2 sisters = **3 girls**\n\nNow, from a brother's perspective, his sisters are **all the girls in the",
1467+ "costUsd": 0.00775
1468+ },
1469+ {
1470+ "test": "math",
1471+ "ok": true,
1472+ "latencyMs": 1039,
1473+ "ttftMs": 926,
1474+ "usage": {
1475+ "input": 70,
1476+ "output": 58,
1477+ "cachedInput": 0
1478+ },
1479+ "api": "messages",
1480+ "raw": {
1481+ "stop": "end_turn",
1482+ "stop_details": null
1483+ },
1484+ "sample": "a=403;b=2500",
1485+ "costUsd": 0.0018
1486+ },
1487+ {
1488+ "test": "code",
1489+ "ok": true,
1490+ "latencyMs": 1895,
1491+ "ttftMs": 969,
1492+ "usage": {
1493+ "input": 68,
1494+ "output": 115,
1495+ "cachedInput": 0
1496+ },
1497+ "api": "messages",
1498+ "raw": {
1499+ "stop": "end_turn",
1500+ "stop_details": null
1501+ },
1502+ "sample": "```js\nfunction isPrime(n) {\n if (!Number.isInteger(n) || n < 2) return false;\n if (n < 4) return true;\n if (n % 2 === 0) return false;\n for (let i = 3; i * i <= n; i += 2) {\n if (n % i === 0) return false;\n }\n return true;\n}\n```",
1503+ "costUsd": 0.003215
1504+ },
1505+ {
1506+ "test": "french",
1507+ "ok": true,
1508+ "latencyMs": 2543,
1509+ "ttftMs": 441,
1510+ "usage": {
1511+ "input": 49,
1512+ "output": 167,
1513+ "cachedInput": 0
1514+ },
1515+ "api": "messages",
1516+ "raw": {
1517+ "stop": "end_turn",
1518+ "stop_details": null
1519+ },
1520+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en additionnant la valeur du terrain et le coût de reconstruction à neuf des bâtiments, duquel on soustrait la dépréciation liée à l'usure, à l'obsolescence ou à des facteurs externes. Cette approche est particulière",
1521+ "costUsd": 0.00442
1522+ },
1523+ {
1524+ "test": "english",
1525+ "ok": true,
1526+ "latencyMs": 1887,
1527+ "ttftMs": 536,
1528+ "usage": {
1529+ "input": 29,
1530+ "output": 93,
1531+ "cachedInput": 0
1532+ },
1533+ "api": "messages",
1534+ "raw": {
1535+ "stop": "end_turn",
1536+ "stop_details": null
1537+ },
1538+ "sample": "A hedonic pricing model is a statistical method that estimates the value of a good by breaking it down into its individual characteristics, determining how much each attribute contributes to the overall price. It is commonly used in real estate and economics to assess how factors like a property's s",
1539+ "costUsd": 0.00247
1540+ },
1541+ {
1542+ "test": "json",
1543+ "ok": true,
1544+ "latencyMs": 899,
1545+ "ttftMs": 480,
1546+ "usage": {
1547+ "input": 69,
1548+ "output": 41,
1549+ "cachedInput": 0
1550+ },
1551+ "api": "messages",
1552+ "raw": {
1553+ "stop": "end_turn",
1554+ "stop_details": null
1555+ },
1556+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291000}",
1557+ "costUsd": 0.00137
1558+ },
1559+ {
1560+ "test": "tools",
1561+ "ok": true,
1562+ "latencyMs": 1231,
1563+ "ttftMs": 622,
1564+ "usage": {
1565+ "input": 415,
1566+ "output": 80,
1567+ "cachedInput": 0
1568+ },
1569+ "api": "messages",
1570+ "raw": {
1571+ "stop": "tool_use",
1572+ "stop_details": null
1573+ },
1574+ "sample": "I'll check the current weather in Gatineau, Quebec for you.",
1575+ "costUsd": 0.004075
1576+ },
1577+ {
1578+ "test": "vision",
1579+ "ok": true,
1580+ "latencyMs": 722,
1581+ "ttftMs": 516,
1582+ "usage": {
1583+ "input": 217,
1584+ "output": 10,
1585+ "cachedInput": 0
1586+ },
1587+ "api": "messages",
1588+ "raw": {
1589+ "stop": "end_turn",
1590+ "stop_details": null
1591+ },
1592+ "sample": "circles=3; other=square",
1593+ "costUsd": 0.001335
1594+ },
1595+ {
1596+ "test": "longctx",
1597+ "ok": true,
1598+ "latencyMs": 1193,
1599+ "ttftMs": 986,
1600+ "usage": {
1601+ "input": 15022,
1602+ "output": 10,
1603+ "cachedInput": 0
1604+ },
1605+ "api": "messages",
1606+ "raw": {
1607+ "stop": "end_turn",
1608+ "stop_details": null
1609+ },
1610+ "sample": "7431-ALPHA",
1611+ "costUsd": 0.07536
1612+ },
1613+ {
1614+ "test": "streaming",
1615+ "ok": true,
1616+ "latencyMs": 1287,
1617+ "ttftMs": 800,
1618+ "usage": {
1619+ "input": 21,
1620+ "output": 49,
1621+ "cachedInput": 0
1622+ },
1623+ "api": "messages",
1624+ "raw": {
1625+ "stop": "end_turn",
1626+ "stop_details": null
1627+ },
1628+ "sample": "Snow blankets the streets—\nMontreal in silent white,\nbreath freezes midair.",
1629+ "costUsd": 0.00133
1630+ }
1631+ ]
1632+ },
1633+ "claude-opus-5": {
1634+ "provider": "anthropic",
1635+ "kind": "chat",
1636+ "tests": [
1637+ {
1638+ "test": "reasoning",
1639+ "ok": true,
1640+ "latencyMs": 4570,
1641+ "ttftMs": 2100,
1642+ "usage": {
1643+ "input": 65,
1644+ "output": 284,
1645+ "cachedInput": 0
1646+ },
1647+ "api": "messages",
1648+ "raw": {
1649+ "stop": "end_turn",
1650+ "stop_details": null
1651+ },
1652+ "sample": "**Step 1: Count the girls in the family.**\nAlice has 2 sisters, so including Alice herself, there are 3 girls total.\n\n**Step 2: Count the boys.**\nAlice has 3 brothers, so there are 3 boys.\n\n**Step 3: Take a brother's point of view.**\nA brother is one of the boys. His sisters are all the girls in the",
1653+ "costUsd": 0.007425
1654+ },
1655+ {
1656+ "test": "math",
1657+ "ok": true,
1658+ "latencyMs": 2242,
1659+ "ttftMs": 2137,
1660+ "usage": {
1661+ "input": 70,
1662+ "output": 60,
1663+ "cachedInput": 0
1664+ },
1665+ "api": "messages",
1666+ "raw": {
1667+ "stop": "end_turn",
1668+ "stop_details": null
1669+ },
1670+ "sample": "a=403;b=2500",
1671+ "costUsd": 0.00185
1672+ },
1673+ {
1674+ "test": "code",
1675+ "ok": true,
1676+ "latencyMs": 2144,
1677+ "ttftMs": 849,
1678+ "usage": {
1679+ "input": 68,
1680+ "output": 138,
1681+ "cachedInput": 0
1682+ },
1683+ "api": "messages",
1684+ "raw": {
1685+ "stop": "end_turn",
1686+ "stop_details": null
1687+ },
1688+ "sample": "```js\nfunction isPrime(n) {\n if (!Number.isInteger(n) || n < 2) return false;\n if (n < 4) return true;\n if (n % 2 === 0 || n % 3 === 0) return false;\n\n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n\n return true;\n}\n```",
1689+ "costUsd": 0.00379
1690+ },
1691+ {
1692+ "test": "french",
1693+ "ok": true,
1694+ "latencyMs": 3598,
1695+ "ttftMs": 1390,
1696+ "usage": {
1697+ "input": 49,
1698+ "output": 252,
1699+ "cachedInput": 0
1700+ },
1701+ "api": "messages",
1702+ "raw": {
1703+ "stop": "end_turn",
1704+ "stop_details": null
1705+ },
1706+ "sample": "La méthode du coût est une approche d'évaluation immobilière qui estime la valeur d'un bien en additionnant la valeur du terrain et le coût de reconstruction ou de remplacement des constructions à neuf, diminué de la dépréciation accumulée (obsolescence physique, fonctionnelle et économique). Elle e",
1707+ "costUsd": 0.006545
1708+ },
1709+ {
1710+ "test": "english",
1711+ "ok": true,
1712+ "latencyMs": 2795,
1713+ "ttftMs": 710,
1714+ "usage": {
1715+ "input": 29,
1716+ "output": 179,
1717+ "cachedInput": 0
1718+ },
1719+ "api": "messages",
1720+ "raw": {
1721+ "stop": "end_turn",
1722+ "stop_details": null
1723+ },
1724+ "sample": "A hedonic pricing model is a regression-based method that estimates the value of a good by breaking it into its constituent characteristics and inferring the implicit price that buyers pay for each attribute. It is most commonly applied to housing markets—where a home's price is modeled as a functio",
1725+ "costUsd": 0.00462
1726+ },
1727+ {
1728+ "test": "json",
1729+ "ok": true,
1730+ "latencyMs": 1436,
1731+ "ttftMs": 1100,
1732+ "usage": {
1733+ "input": 69,
1734+ "output": 101,
1735+ "cachedInput": 0
1736+ },
1737+ "api": "messages",
1738+ "raw": {
1739+ "stop": "end_turn",
1740+ "stop_details": null
1741+ },
1742+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291041}",
1743+ "costUsd": 0.00287
1744+ },
1745+ {
1746+ "test": "tools",
1747+ "ok": true,
1748+ "latencyMs": 1854,
1749+ "ttftMs": 1136,
1750+ "usage": {
1751+ "input": 411,
1752+ "output": 75,
1753+ "cachedInput": 0
1754+ },
1755+ "api": "messages",
1756+ "raw": {
1757+ "stop": "tool_use",
1758+ "stop_details": null
1759+ },
1760+ "sample": "I'll check the current weather in Gatineau for you.",
1761+ "costUsd": 0.00393
1762+ },
1763+ {
1764+ "test": "vision",
1765+ "ok": true,
1766+ "latencyMs": 1131,
1767+ "ttftMs": 1102,
1768+ "usage": {
1769+ "input": 217,
1770+ "output": 23,
1771+ "cachedInput": 0
1772+ },
1773+ "api": "messages",
1774+ "raw": {
1775+ "stop": "end_turn",
1776+ "stop_details": null
1777+ },
1778+ "sample": "circles=3; other=square",
1779+ "costUsd": 0.00166
1780+ },
1781+ {
1782+ "test": "longctx",
1783+ "ok": true,
1784+ "latencyMs": 959,
1785+ "ttftMs": 931,
1786+ "usage": {
1787+ "input": 15022,
1788+ "output": 10,
1789+ "cachedInput": 0
1790+ },
1791+ "api": "messages",
1792+ "raw": {
1793+ "stop": "end_turn",
1794+ "stop_details": null
1795+ },
1796+ "sample": "7431-ALPHA",
1797+ "costUsd": 0.07536
1798+ },
1799+ {
1800+ "test": "basic",
1801+ "ok": true,
1802+ "latencyMs": 1655,
1803+ "ttftMs": 1650,
1804+ "usage": {
1805+ "input": 24,
1806+ "output": 7,
1807+ "cachedInput": 0
1808+ },
1809+ "api": "messages",
1810+ "raw": {
1811+ "stop": "end_turn",
1812+ "stop_details": null
1813+ },
1814+ "sample": "Ottawa",
1815+ "costUsd": 0.000295
1816+ },
1817+ {
1818+ "test": "streaming",
1819+ "ok": true,
1820+ "latencyMs": 7122,
1821+ "ttftMs": 6771,
1822+ "usage": {
1823+ "input": 21,
1824+ "output": 472,
1825+ "cachedInput": 0
1826+ },
1827+ "api": "messages",
1828+ "raw": {
1829+ "stop": "end_turn",
1830+ "stop_details": null
1831+ },
1832+ "sample": "Snow swallows the fence—\nthe Saint Lawrence groans with ice;\nwoodsmoke, then silence.",
1833+ "costUsd": 0.011905
1834+ }
1835+ ]
1836+ },
1837+ "claude-opus-5-5": {
1838+ "provider": "anthropic",
1839+ "kind": "chat",
1840+ "tests": [
1841+ {
1842+ "test": "basic",
1843+ "ok": true,
1844+ "latencyMs": 842,
1845+ "ttftMs": 830,
1846+ "usage": {
1847+ "input": 26,
1848+ "output": 7,
1849+ "cachedInput": 0
1850+ },
1851+ "api": "messages",
1852+ "raw": {
1853+ "stop": "end_turn",
1854+ "stop_details": null
1855+ },
1856+ "sample": "Ottawa",
1857+ "costUsd": 0.000244
1858+ },
1859+ {
1860+ "test": "reasoning",
1861+ "ok": true,
1862+ "latencyMs": 1742,
1863+ "ttftMs": 1057,
1864+ "usage": {
1865+ "input": 67,
1866+ "output": 156,
1867+ "cachedInput": 0
1868+ },
1869+ "api": "messages",
1870+ "raw": {
1871+ "stop": "end_turn",
1872+ "stop_details": null
1873+ },
1874+ "sample": "Each of Alice's brothers has **3** sisters.\n\n1. Alice is a girl, and she has 2 sisters. So the family has 3 girls: Alice and her 2 sisters.\n2. Each brother is a sibling of every girl in the family, so his sisters are Alice plus her 2 sisters.\n\nANSWER: 3",
1875+ "costUsd": 0.003388
1876+ },
1877+ {
1878+ "test": "math",
1879+ "ok": true,
1880+ "latencyMs": 1216,
1881+ "ttftMs": 752,
1882+ "usage": {
1883+ "input": 72,
1884+ "output": 37,
1885+ "cachedInput": 0
1886+ },
1887+ "api": "messages",
1888+ "raw": {
1889+ "stop": "end_turn",
1890+ "stop_details": null
1891+ },
1892+ "sample": "a=403;b=2500",
1893+ "costUsd": 0.001028
1894+ },
1895+ {
1896+ "test": "code",
1897+ "ok": true,
1898+ "latencyMs": 1778,
1899+ "ttftMs": 697,
1900+ "usage": {
1901+ "input": 70,
1902+ "output": 138,
1903+ "cachedInput": 0
1904+ },
1905+ "api": "messages",
1906+ "raw": {
1907+ "stop": "end_turn",
1908+ "stop_details": null
1909+ },
1910+ "sample": "```js\nfunction isPrime(n) {\n if (!Number.isInteger(n) || n < 2) return false;\n if (n < 4) return true;\n if (n % 2 === 0 || n % 3 === 0) return false;\n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n return true;\n}\n```",
1911+ "costUsd": 0.00304
1912+ },
1913+ {
1914+ "test": "french",
1915+ "ok": true,
1916+ "latencyMs": 2832,
1917+ "ttftMs": 954,
1918+ "usage": {
1919+ "input": 51,
1920+ "output": 232,
1921+ "cachedInput": 0
1922+ },
1923+ "api": "messages",
1924+ "raw": {
1925+ "stop": "end_turn",
1926+ "stop_details": null
1927+ },
1928+ "sample": "La méthode du coût est une technique d'évaluation immobilière qui estime la valeur d'un bien en additionnant la valeur du terrain, considéré comme non bâti, et le coût de reconstruction ou de remplacement à neuf des bâtiments, diminué de la dépréciation accumulée (usure physique, désuétude fonctionn",
1929+ "costUsd": 0.004844
1930+ },
1931+ {
1932+ "test": "english",
1933+ "ok": true,
1934+ "latencyMs": 1905,
1935+ "ttftMs": 633,
1936+ "usage": {
1937+ "input": 31,
1938+ "output": 151,
1939+ "cachedInput": 0
1940+ },
1941+ "api": "messages",
1942+ "raw": {
1943+ "stop": "end_turn",
1944+ "stop_details": null
1945+ },
1946+ "sample": "A hedonic pricing model is an economic method that estimates the value of a good by breaking its price down into the separate contributions of its individual characteristics, such as a house's size, location, number of bedrooms, and proximity to parks or pollution. Using regression analysis on marke",
1947+ "costUsd": 0.003144
1948+ },
1949+ {
1950+ "test": "json",
1951+ "ok": true,
1952+ "latencyMs": 1503,
1953+ "ttftMs": 995,
1954+ "usage": {
1955+ "input": 71,
1956+ "output": 75,
1957+ "cachedInput": 0
1958+ },
1959+ "api": "messages",
1960+ "raw": {
1961+ "stop": "end_turn",
1962+ "stop_details": null
1963+ },
1964+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291041}",
1965+ "costUsd": 0.001784
1966+ },
1967+ {
1968+ "test": "tools",
1969+ "ok": true,
1970+ "latencyMs": 2031,
1971+ "usage": {
1972+ "input": 413,
1973+ "output": 57,
1974+ "cachedInput": 0
1975+ },
1976+ "api": "messages",
1977+ "raw": {
1978+ "stop": "tool_use",
1979+ "stop_details": null
1980+ },
1981+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
1982+ "costUsd": 0.002792
1983+ },
1984+ {
1985+ "test": "vision",
1986+ "ok": true,
1987+ "latencyMs": 1225,
1988+ "ttftMs": 689,
1989+ "usage": {
1990+ "input": 219,
1991+ "output": 10,
1992+ "cachedInput": 0
1993+ },
1994+ "api": "messages",
1995+ "raw": {
1996+ "stop": "end_turn",
1997+ "stop_details": null
1998+ },
1999+ "sample": "circles=3; other=square",
2000+ "costUsd": 0.001076
2001+ },
2002+ {
2003+ "test": "longctx",
2004+ "ok": true,
2005+ "latencyMs": 2615,
2006+ "ttftMs": 2584,
2007+ "usage": {
2008+ "input": 15024,
2009+ "output": 175,
2010+ "cachedInput": 0
2011+ },
2012+ "api": "messages",
2013+ "raw": {
2014+ "stop": "end_turn",
2015+ "stop_details": null
2016+ },
2017+ "sample": "7431-ALPHA",
2018+ "costUsd": 0.063596
2019+ },
2020+ {
2021+ "test": "streaming",
2022+ "ok": true,
2023+ "latencyMs": 4977,
2024+ "ttftMs": 4635,
2025+ "usage": {
2026+ "input": 23,
2027+ "output": 400,
2028+ "cachedInput": 0
2029+ },
2030+ "api": "messages",
2031+ "raw": {
2032+ "stop": "max_tokens",
2033+ "stop_details": null
2034+ },
2035+ "sample": "**Winter in Québec**\n\nSnow on old stone walls,\nthe frozen Saint Lawrence groans\nbeneath a pale mo",
2036+ "costUsd": 0.008092
2037+ }
2038+ ]
2039+ },
2040+ "claude-sonnet-4-5-20250929": {
2041+ "provider": "anthropic",
2042+ "kind": "chat",
2043+ "tests": [
2044+ {
2045+ "test": "basic",
2046+ "ok": true,
2047+ "latencyMs": 854,
2048+ "ttftMs": 780,
2049+ "usage": {
2050+ "input": 20,
2051+ "output": 4,
2052+ "cachedInput": 0
2053+ },
2054+ "api": "messages",
2055+ "raw": {
2056+ "stop": "end_turn",
2057+ "stop_details": null
2058+ },
2059+ "sample": "Ottawa",
2060+ "costUsd": 0.00012
2061+ },
2062+ {
2063+ "test": "reasoning",
2064+ "ok": true,
2065+ "latencyMs": 3399,
2066+ "ttftMs": 669,
2067+ "usage": {
2068+ "input": 48,
2069+ "output": 146,
2070+ "cachedInput": 0
2071+ },
2072+ "api": "messages",
2073+ "raw": {
2074+ "stop": "end_turn",
2075+ "stop_details": null
2076+ },
2077+ "sample": "Let me think through this step by step.\n\nFirst, let me identify who is in Alice's family:\n- Alice (female)\n- 3 brothers (males)\n- 2 sisters (females)\n\nSo the siblings in the family are:\n- Alice\n- 2 other sisters\n- 3 brothers\n\nNow, the question asks: How many sisters does each of Alice's brothers hav",
2078+ "costUsd": 0.002334
2079+ },
2080+ {
2081+ "test": "math",
2082+ "ok": true,
2083+ "latencyMs": 1011,
2084+ "ttftMs": 618,
2085+ "usage": {
2086+ "input": 58,
2087+ "output": 11,
2088+ "cachedInput": 0
2089+ },
2090+ "api": "messages",
2091+ "raw": {
2092+ "stop": "end_turn",
2093+ "stop_details": null
2094+ },
2095+ "sample": "a=403;b=2500",
2096+ "costUsd": 0.000339
2097+ },
2098+ {
2099+ "test": "code",
2100+ "ok": true,
2101+ "latencyMs": 1934,
2102+ "ttftMs": 937,
2103+ "usage": {
2104+ "input": 50,
2105+ "output": 132,
2106+ "cachedInput": 0
2107+ },
2108+ "api": "messages",
2109+ "raw": {
2110+ "stop": "end_turn",
2111+ "stop_details": null
2112+ },
2113+ "sample": "\n```js\nfunction isPrime(n) {\n if (n <= 1) return false;\n if (n <= 3) return true;\n if (n % 2 === 0 || n % 3 === 0) return false;\n \n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n \n return true;\n}\n```\n```",
2114+ "costUsd": 0.00213
2115+ },
2116+ {
2117+ "test": "french",
2118+ "ok": true,
2119+ "latencyMs": 3130,
2120+ "ttftMs": 595,
2121+ "usage": {
2122+ "input": 40,
2123+ "output": 117,
2124+ "cachedInput": 0
2125+ },
2126+ "api": "messages",
2127+ "raw": {
2128+ "stop": "end_turn",
2129+ "stop_details": null
2130+ },
2131+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en calculant le coût de remplacement du bâtiment à neuf, auquel on soustrait la dépréciation liée à l'âge et à l'obsolescence, puis on ajoute la valeur du terrain. Cette méthode est particulièrement utilisée pour les",
2132+ "costUsd": 0.001875
2133+ },
2134+ {
2135+ "test": "english",
2136+ "ok": true,
2137+ "latencyMs": 2468,
2138+ "ttftMs": 840,
2139+ "usage": {
2140+ "input": 21,
2141+ "output": 64,
2142+ "cachedInput": 0
2143+ },
2144+ "api": "messages",
2145+ "raw": {
2146+ "stop": "end_turn",
2147+ "stop_details": null
2148+ },
2149+ "sample": "A hedonic pricing model is a statistical method that breaks down the price of a good into the values of its individual characteristics or attributes. It is commonly used to estimate the implicit value of specific features, such as determining how much a swimming pool or an extra bedroom contributes ",
2150+ "costUsd": 0.001023
2151+ },
2152+ {
2153+ "test": "json",
2154+ "ok": true,
2155+ "latencyMs": 1158,
2156+ "ttftMs": 820,
2157+ "usage": {
2158+ "input": 56,
2159+ "output": 48,
2160+ "cachedInput": 0
2161+ },
2162+ "api": "messages",
2163+ "raw": {
2164+ "stop": "end_turn",
2165+ "stop_details": null
2166+ },
2167+ "sample": "```json\n{\n \"city\": \"Gatineau\",\n \"country\": \"Canada\",\n \"province\": \"Quebec\",\n \"population_estimate\": 291041\n}\n```",
2168+ "costUsd": 0.000888
2169+ },
2170+ {
2171+ "test": "tools",
2172+ "ok": true,
2173+ "latencyMs": 1432,
2174+ "usage": {
2175+ "input": 595,
2176+ "output": 58,
2177+ "cachedInput": 0
2178+ },
2179+ "api": "messages",
2180+ "raw": {
2181+ "stop": "tool_use",
2182+ "stop_details": null
2183+ },
2184+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
2185+ "costUsd": 0.002655
2186+ },
2187+ {
2188+ "test": "vision",
2189+ "ok": true,
2190+ "latencyMs": 732,
2191+ "ttftMs": 539,
2192+ "usage": {
2193+ "input": 211,
2194+ "output": 10,
2195+ "cachedInput": 0
2196+ },
2197+ "api": "messages",
2198+ "raw": {
2199+ "stop": "end_turn",
2200+ "stop_details": null
2201+ },
2202+ "sample": "circles=3; other=square",
2203+ "costUsd": 0.000783
2204+ },
2205+ {
2206+ "test": "longctx",
2207+ "ok": true,
2208+ "latencyMs": 1212,
2209+ "ttftMs": 1116,
2210+ "usage": {
2211+ "input": 11100,
2212+ "output": 9,
2213+ "cachedInput": 0
2214+ },
2215+ "api": "messages",
2216+ "raw": {
2217+ "stop": "end_turn",
2218+ "stop_details": null
2219+ },
2220+ "sample": "7431-ALPHA",
2221+ "costUsd": 0.033435
2222+ },
2223+ {
2224+ "test": "streaming",
2225+ "ok": true,
2226+ "latencyMs": 1675,
2227+ "ttftMs": 785,
2228+ "usage": {
2229+ "input": 16,
2230+ "output": 32,
2231+ "cachedInput": 0
2232+ },
2233+ "api": "messages",
2234+ "raw": {
2235+ "stop": "end_turn",
2236+ "stop_details": null
2237+ },
2238+ "sample": "# Winter in Quebec\n\nSnow drifts bury doors\nFrost paints white on windowpanes\nCold breath hangs like smoke",
2239+ "costUsd": 0.000528
2240+ }
2241+ ]
2242+ },
2243+ "claude-sonnet-4-6": {
2244+ "provider": "anthropic",
2245+ "kind": "chat",
2246+ "tests": [
2247+ {
2248+ "test": "basic",
2249+ "ok": true,
2250+ "latencyMs": 1058,
2251+ "ttftMs": 958,
2252+ "usage": {
2253+ "input": 20,
2254+ "output": 4,
2255+ "cachedInput": 0
2256+ },
2257+ "api": "messages",
2258+ "raw": {
2259+ "stop": "end_turn",
2260+ "stop_details": null
2261+ },
2262+ "sample": "Ottawa",
2263+ "costUsd": 0.00012
2264+ },
2265+ {
2266+ "test": "reasoning",
2267+ "ok": true,
2268+ "latencyMs": 2909,
2269+ "ttftMs": 1821,
2270+ "usage": {
2271+ "input": 48,
2272+ "output": 143,
2273+ "cachedInput": 0
2274+ },
2275+ "api": "messages",
2276+ "raw": {
2277+ "stop": "end_turn",
2278+ "stop_details": null
2279+ },
2280+ "sample": "## Thinking it through:\n\nAlice is a girl, so she counts as a sister to her brothers.\n\nEach of Alice's brothers has these sisters:\n- Alice herself\n- Alice's 2 sisters\n\nSo each brother has **3 sisters** total.\n\nANSWER: 3",
2281+ "costUsd": 0.002289
2282+ },
2283+ {
2284+ "test": "math",
2285+ "ok": true,
2286+ "latencyMs": 2260,
2287+ "ttftMs": 2065,
2288+ "usage": {
2289+ "input": 58,
2290+ "output": 111,
2291+ "cachedInput": 0
2292+ },
2293+ "api": "messages",
2294+ "raw": {
2295+ "stop": "end_turn",
2296+ "stop_details": null
2297+ },
2298+ "sample": "a=403;b=2500",
2299+ "costUsd": 0.001839
2300+ },
2301+ {
2302+ "test": "code",
2303+ "ok": true,
2304+ "latencyMs": 1912,
2305+ "ttftMs": 994,
2306+ "usage": {
2307+ "input": 50,
2308+ "output": 123,
2309+ "cachedInput": 0
2310+ },
2311+ "api": "messages",
2312+ "raw": {
2313+ "stop": "end_turn",
2314+ "stop_details": null
2315+ },
2316+ "sample": "```js\nfunction isPrime(n) {\n if (n < 2) return false;\n if (n === 2) return true;\n if (n % 2 === 0) return false;\n for (let i = 3; i <= Math.sqrt(n); i += 2) {\n if (n % i === 0) return false;\n }\n return true;\n}\n```",
2317+ "costUsd": 0.001995
2318+ },
2319+ {
2320+ "test": "french",
2321+ "ok": true,
2322+ "latencyMs": 4367,
2323+ "ttftMs": 1616,
2324+ "usage": {
2325+ "input": 40,
2326+ "output": 171,
2327+ "cachedInput": 0
2328+ },
2329+ "api": "messages",
2330+ "raw": {
2331+ "stop": "end_turn",
2332+ "stop_details": null
2333+ },
2334+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en additionnant la valeur du terrain et le coût de reconstruction à neuf des bâtiments, diminué d'une dépréciation tenant compte de leur vétusté et de leur obsolescence. Cette approche est particulièrement utilisée p",
2335+ "costUsd": 0.002685
2336+ },
2337+ {
2338+ "test": "english",
2339+ "ok": true,
2340+ "latencyMs": 3392,
2341+ "ttftMs": 1294,
2342+ "usage": {
2343+ "input": 21,
2344+ "output": 123,
2345+ "cachedInput": 0
2346+ },
2347+ "api": "messages",
2348+ "raw": {
2349+ "stop": "end_turn",
2350+ "stop_details": null
2351+ },
2352+ "sample": "A hedonic pricing model is an econometric method used to estimate the value of a good by breaking it down into its constituent characteristics and determining how each attribute contributes to its overall price. It is commonly applied in real estate, where a home's price is modeled as a function of ",
2353+ "costUsd": 0.001908
2354+ },
2355+ {
2356+ "test": "json",
2357+ "ok": true,
2358+ "latencyMs": 2958,
2359+ "ttftMs": 2718,
2360+ "usage": {
2361+ "input": 56,
2362+ "output": 158,
2363+ "cachedInput": 0
2364+ },
2365+ "api": "messages",
2366+ "raw": {
2367+ "stop": "end_turn",
2368+ "stop_details": null
2369+ },
2370+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291041}",
2371+ "costUsd": 0.002538
2372+ },
2373+ {
2374+ "test": "tools",
2375+ "ok": true,
2376+ "latencyMs": 2474,
2377+ "ttftMs": 1732,
2378+ "usage": {
2379+ "input": 596,
2380+ "output": 121,
2381+ "cachedInput": 0
2382+ },
2383+ "api": "messages",
2384+ "raw": {
2385+ "stop": "tool_use",
2386+ "stop_details": null
2387+ },
2388+ "sample": "Sure! Let me fetch the current weather for Gatineau, Quebec right now!",
2389+ "costUsd": 0.003603
2390+ },
2391+ {
2392+ "test": "vision",
2393+ "ok": true,
2394+ "latencyMs": 951,
2395+ "ttftMs": 780,
2396+ "usage": {
2397+ "input": 211,
2398+ "output": 10,
2399+ "cachedInput": 0
2400+ },
2401+ "api": "messages",
2402+ "raw": {
2403+ "stop": "end_turn",
2404+ "stop_details": null
2405+ },
2406+ "sample": "circles=3; other=square",
2407+ "costUsd": 0.000783
2408+ },
2409+ {
2410+ "test": "longctx",
2411+ "ok": true,
2412+ "latencyMs": 2763,
2413+ "ttftMs": 2548,
2414+ "usage": {
2415+ "input": 11100,
2416+ "output": 9,
2417+ "cachedInput": 0
2418+ },
2419+ "api": "messages",
2420+ "raw": {
2421+ "stop": "end_turn",
2422+ "stop_details": null
2423+ },
2424+ "sample": "7431-ALPHA",
2425+ "costUsd": 0.033435
2426+ },
2427+ {
2428+ "test": "streaming",
2429+ "ok": true,
2430+ "latencyMs": 5794,
2431+ "ttftMs": 5791,
2432+ "usage": {
2433+ "input": 16,
2434+ "output": 300,
2435+ "cachedInput": 0
2436+ },
2437+ "api": "messages",
2438+ "raw": {
2439+ "stop": "end_turn",
2440+ "stop_details": null
2441+ },
2442+ "sample": "**Snow blankets the plains**\n**St. Lawrence locked in silence**\n**Maple dreams of spring**",
2443+ "costUsd": 0.004548
2444+ }
2445+ ]
2446+ },
2447+ "claude-sonnet-5": {
2448+ "provider": "anthropic",
2449+ "kind": "chat",
2450+ "tests": [
2451+ {
2452+ "test": "basic",
2453+ "ok": true,
2454+ "latencyMs": 908,
2455+ "ttftMs": 515,
2456+ "usage": {
2457+ "input": 24,
2458+ "output": 9,
2459+ "cachedInput": 0
2460+ },
2461+ "api": "messages",
2462+ "raw": {
2463+ "stop": "end_turn",
2464+ "stop_details": null
2465+ },
2466+ "sample": "**Ottawa**",
2467+ "costUsd": 0.000138
2468+ },
2469+ {
2470+ "test": "reasoning",
2471+ "ok": true,
2472+ "latencyMs": 2367,
2473+ "ttftMs": 1557,
2474+ "usage": {
2475+ "input": 65,
2476+ "output": 194,
2477+ "cachedInput": 0
2478+ },
2479+ "api": "messages",
2480+ "raw": {
2481+ "stop": "end_turn",
2482+ "stop_details": null
2483+ },
2484+ "sample": "Each brother shares the same siblings as Alice. Alice has 2 sisters, which means there are 3 girls total in the family (Alice + her 2 sisters). From a brother's perspective, all 3 girls (including Alice) are his sisters.\n\nANSWER: 3",
2485+ "costUsd": 0.00207
2486+ },
2487+ {
2488+ "test": "math",
2489+ "ok": true,
2490+ "latencyMs": 1133,
2491+ "ttftMs": 910,
2492+ "usage": {
2493+ "input": 70,
2494+ "output": 56,
2495+ "cachedInput": 0
2496+ },
2497+ "api": "messages",
2498+ "raw": {
2499+ "stop": "end_turn",
2500+ "stop_details": null
2501+ },
2502+ "sample": "a=403;b=2500",
2503+ "costUsd": 0.0007
2504+ },
2505+ {
2506+ "test": "code",
2507+ "ok": true,
2508+ "latencyMs": 1168,
2509+ "ttftMs": 475,
2510+ "usage": {
2511+ "input": 68,
2512+ "output": 103,
2513+ "cachedInput": 0
2514+ },
2515+ "api": "messages",
2516+ "raw": {
2517+ "stop": "end_turn",
2518+ "stop_details": null
2519+ },
2520+ "sample": "```js\nfunction isPrime(n) {\n if (n < 2) return false;\n if (n === 2) return true;\n if (n % 2 === 0) return false;\n for (let i = 3; i * i <= n; i += 2) {\n if (n % i === 0) return false;\n }\n return true;\n}\n```",
2521+ "costUsd": 0.001166
2522+ },
2523+ {
2524+ "test": "french",
2525+ "ok": true,
2526+ "latencyMs": 2344,
2527+ "ttftMs": 470,
2528+ "usage": {
2529+ "input": 49,
2530+ "output": 190,
2531+ "cachedInput": 0
2532+ },
2533+ "api": "messages",
2534+ "raw": {
2535+ "stop": "end_turn",
2536+ "stop_details": null
2537+ },
2538+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en calculant le coût de remplacement ou de reconstruction à neuf de la construction, duquel on déduit la dépréciation liée à l'usure, à l'obsolescence physique, fonctionnelle ou économique, puis en ajoutant la valeur",
2539+ "costUsd": 0.001998
2540+ },
2541+ {
2542+ "test": "english",
2543+ "ok": true,
2544+ "latencyMs": 1532,
2545+ "ttftMs": 460,
2546+ "usage": {
2547+ "input": 29,
2548+ "output": 113,
2549+ "cachedInput": 0
2550+ },
2551+ "api": "messages",
2552+ "raw": {
2553+ "stop": "end_turn",
2554+ "stop_details": null
2555+ },
2556+ "sample": "A hedonic pricing model is a statistical technique used to estimate the value of a good or service by breaking it down into its constituent characteristics and determining the implicit price of each attribute. It is commonly applied to markets like real estate, where the price of a home is analyzed ",
2557+ "costUsd": 0.001188
2558+ },
2559+ {
2560+ "test": "json",
2561+ "ok": true,
2562+ "latencyMs": 1069,
2563+ "ttftMs": 497,
2564+ "usage": {
2565+ "input": 69,
2566+ "output": 41,
2567+ "cachedInput": 0
2568+ },
2569+ "api": "messages",
2570+ "raw": {
2571+ "stop": "end_turn",
2572+ "stop_details": null
2573+ },
2574+ "sample": "{\"city\": \"Gatineau\", \"country\": \"Canada\", \"province\": \"Quebec\", \"population_estimate\": 291041}",
2575+ "costUsd": 0.000548
2576+ },
2577+ {
2578+ "test": "tools",
2579+ "ok": true,
2580+ "latencyMs": 1268,
2581+ "usage": {
2582+ "input": 479,
2583+ "output": 93,
2584+ "cachedInput": 0
2585+ },
2586+ "api": "messages",
2587+ "raw": {
2588+ "stop": "tool_use",
2589+ "stop_details": null
2590+ },
2591+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
2592+ "costUsd": 0.001888
2593+ },
2594+ {
2595+ "test": "vision",
2596+ "ok": true,
2597+ "latencyMs": 993,
2598+ "ttftMs": 576,
2599+ "usage": {
2600+ "input": 217,
2601+ "output": 10,
2602+ "cachedInput": 0
2603+ },
2604+ "api": "messages",
2605+ "raw": {
2606+ "stop": "end_turn",
2607+ "stop_details": null
2608+ },
2609+ "sample": "circles=3; other=square",
2610+ "costUsd": 0.000534
2611+ },
2612+ {
2613+ "test": "longctx",
2614+ "ok": true,
2615+ "latencyMs": 1153,
2616+ "ttftMs": 1128,
2617+ "usage": {
2618+ "input": 15022,
2619+ "output": 10,
2620+ "cachedInput": 0
2621+ },
2622+ "api": "messages",
2623+ "raw": {
2624+ "stop": "end_turn",
2625+ "stop_details": null
2626+ },
2627+ "sample": "7431-ALPHA",
2628+ "costUsd": 0.030144
2629+ },
2630+ {
2631+ "test": "streaming",
2632+ "ok": true,
2633+ "latencyMs": 1170,
2634+ "ttftMs": 528,
2635+ "usage": {
2636+ "input": 21,
2637+ "output": 35,
2638+ "cachedInput": 0
2639+ },
2640+ "api": "messages",
2641+ "raw": {
2642+ "stop": "end_turn",
2643+ "stop_details": null
2644+ },
2645+ "sample": "Snow blankets the fields—\nMaple trees stand bare and still,\nBreath turns into mist.",
2646+ "costUsd": 0.000392
2647+ }
2648+ ]
2649+ },
2650+ "claude-sonnet-5-5": {
2651+ "provider": "anthropic",
2652+ "kind": "chat",
2653+ "tests": [
2654+ {
2655+ "test": "basic",
2656+ "ok": true,
2657+ "latencyMs": 1025,
2658+ "ttftMs": 1017,
2659+ "usage": {
2660+ "input": 26,
2661+ "output": 7,
2662+ "cachedInput": 0
2663+ },
2664+ "api": "messages",
2665+ "raw": {
2666+ "stop": "end_turn",
2667+ "stop_details": null
2668+ },
2669+ "sample": "Ottawa",
2670+ "costUsd": 0.000122
2671+ },
2672+ {
2673+ "test": "reasoning",
2674+ "ok": true,
2675+ "latencyMs": 1538,
2676+ "ttftMs": 561,
2677+ "usage": {
2678+ "input": 67,
2679+ "output": 89,
2680+ "cachedInput": 0
2681+ },
2682+ "api": "messages",
2683+ "raw": {
2684+ "stop": "end_turn",
2685+ "stop_details": null
2686+ },
2687+ "sample": "Alice has 2 sisters, so the girls in the family are Alice plus those 2 sisters, which makes 3 girls in total.\n\nEach of Alice's brothers has all 3 girls as sisters: Alice and her 2 sisters.\n\nANSWER: 3",
2688+ "costUsd": 0.001024
2689+ },
2690+ {
2691+ "test": "math",
2692+ "ok": true,
2693+ "latencyMs": 1026,
2694+ "ttftMs": 525,
2695+ "usage": {
2696+ "input": 72,
2697+ "output": 10,
2698+ "cachedInput": 0
2699+ },
2700+ "api": "messages",
2701+ "raw": {
2702+ "stop": "end_turn",
2703+ "stop_details": null
2704+ },
2705+ "sample": "a=403;b=2500",
2706+ "costUsd": 0.000244
2707+ },
2708+ {
2709+ "test": "code",
2710+ "ok": true,
2711+ "latencyMs": 1496,
2712+ "ttftMs": 520,
2713+ "usage": {
2714+ "input": 70,
2715+ "output": 144,
2716+ "cachedInput": 0
2717+ },
2718+ "api": "messages",
2719+ "raw": {
2720+ "stop": "end_turn",
2721+ "stop_details": null
2722+ },
2723+ "sample": "```js\nfunction isPrime(n) {\n if (!Number.isInteger(n) || n < 2) return false;\n if (n === 2 || n === 3) return true;\n if (n % 2 === 0 || n % 3 === 0) return false;\n for (let i = 5; i * i <= n; i += 6) {\n if (n % i === 0 || n % (i + 2) === 0) return false;\n }\n return true;\n}\n```",
2724+ "costUsd": 0.00158
2725+ },
2726+ {
2727+ "test": "french",
2728+ "ok": true,
2729+ "latencyMs": 2180,
2730+ "ttftMs": 501,
2731+ "usage": {
2732+ "input": 51,
2733+ "output": 222,
2734+ "cachedInput": 0
2735+ },
2736+ "api": "messages",
2737+ "raw": {
2738+ "stop": "end_turn",
2739+ "stop_details": null
2740+ },
2741+ "sample": "La méthode du coût en évaluation immobilière consiste à estimer la valeur d'un bien en additionnant la valeur du terrain (déterminée par comparaison avec des terrains similaires) et le coût de reconstruction à neuf du bâtiment, dont on retranche la dépréciation liée à la vétusté, à l'usure physique ",
2742+ "costUsd": 0.002322
2743+ },
2744+ {
2745+ "test": "english",
2746+ "ok": true,
2747+ "latencyMs": 2293,
2748+ "ttftMs": 820,
2749+ "usage": {
2750+ "input": 31,
2751+ "output": 138,
2752+ "cachedInput": 0
2753+ },
2754+ "api": "messages",
2755+ "raw": {
2756+ "stop": "end_turn",
2757+ "stop_details": null
2758+ },
2759+ "sample": "A hedonic pricing model is a statistical method, typically a regression, that estimates the value of a good by breaking its price down into the contributions of its individual characteristics, such as a house's size, location, and age. It is widely used in real estate, consumer price indexes, and en",
2760+ "costUsd": 0.001442
2761+ },
2762+ {
2763+ "test": "json",
2764+ "ok": true,
2765+ "latencyMs": 1143,
2766+ "ttftMs": 524,
2767+ "usage": {
2768+ "input": 71,
2769+ "output": 37,
2770+ "cachedInput": 0
2771+ },
2772+ "api": "messages",
2773+ "raw": {
2774+ "stop": "end_turn",
2775+ "stop_details": null
2776+ },
2777+ "sample": "{\"city\":\"Gatineau\",\"country\":\"Canada\",\"province\":\"Quebec\",\"population_estimate\":291041}",
2778+ "costUsd": 0.000512
2779+ },
2780+ {
2781+ "test": "tools",
2782+ "ok": true,
2783+ "latencyMs": 1279,
2784+ "usage": {
2785+ "input": 413,
2786+ "output": 57,
2787+ "cachedInput": 0
2788+ },
2789+ "api": "messages",
2790+ "raw": {
2791+ "stop": "tool_use",
2792+ "stop_details": null
2793+ },
2794+ "sample": "{\"name\":\"get_weather\",\"arguments\":{\"location\":\"Gatineau, Quebec\"}}",
2795+ "costUsd": 0.001396
2796+ },
2797+ {
2798+ "test": "vision",
2799+ "ok": true,
2800+ "latencyMs": 1091,
2801+ "ttftMs": 586,
2802+ "usage": {
2803+ "input": 219,
2804+ "output": 10,
2805+ "cachedInput": 0
2806+ },
2807+ "api": "messages",
2808+ "raw": {
2809+ "stop": "end_turn",
2810+ "stop_details": null
2811+ },
2812+ "sample": "circles=3; other=square",
2813+ "costUsd": 0.000538
2814+ },
2815+ {
2816+ "test": "longctx",
2817+ "ok": true,
2818+ "latencyMs": 1200,
2819+ "ttftMs": 745,
2820+ "usage": {
2821+ "input": 15024,
2822+ "output": 10,
2823+ "cachedInput": 0
2824+ },
2825+ "api": "messages",
2826+ "raw": {
2827+ "stop": "end_turn",
2828+ "stop_details": null
2829+ },
2830+ "sample": "7431-ALPHA",
2831+ "costUsd": 0.030148
2832+ },
2833+ {
2834+ "test": "streaming",
2835+ "ok": true,
2836+ "latencyMs": 1392,
2837+ "ttftMs": 843,
2838+ "usage": {
2839+ "input": 23,
2840+ "output": 32,
2841+ "cachedInput": 0
2842+ },
2843+ "api": "messages",
2844+ "raw": {
2845+ "stop": "end_turn",
2846+ "stop_details": null
2847+ },
2848+ "sample": "Snow hushes the streets,\nbreath curls white above poutine—\nthe cold sings in French.",
2849+ "costUsd": 0.000366
2850+ }
2851+ ]
2852+ }
2853+ }
2854+}
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1+# Chat SPBoucher AI — Benchmark report
2+
3+Generated 2026-11-01T07:22:05.282Z. Every figure below comes from a real API response recorded in `openai-results.json`, `anthropic-results.json` or `modality-results.json`. Prices come from the official pricing pages (see `pricing.json`). Nothing is estimated from memory.
4+
5+## Summary
6+
7+| | OpenAI | Anthropic |
8+|---|---|---|
9+| Models listed by the API | 140 | 14 |
10+| Chat models benchmarked (verified) | 30 | 14 |
11+| Listed but unavailable (404/deprecated) | 23 | 0 |
12+| Specialized models verified (image/tts/stt/embedding/moderation) | 18 | 0 |
13+| Not exercised (realtime/video/legacy/deep-research) | 20 | 0 |
14+
15+Total benchmark spend (estimated from usage × verified prices): **$2.41**.
16+
17+## Test suite
18+
19+| Test | What is measured | Grading |
20+|---|---|---|
21+| basic | capital of Canada | contains "Ottawa" |
22+| reasoning | sisters/brothers riddle | final answer 3 |
23+| math | 17·23+144/12 and Σ first 50 odd | a=403;b=2500 |
24+| code | isPrime(n) in JS | code executed with node against 8 cases |
25+| french | 2 phrases sur la méthode du coût | vocabulaire FR, aucun mot anglais courant |
26+| english | hedonic pricing in 2 sentences | key terms, ≤3 sentences |
27+| json | strict JSON object about Gatineau | JSON.parse + typed keys |
28+| tools | get_weather function call | tool call emitted with location=Gatineau |
29+| vision | PNG with 3 red circles + blue square | circles=3 and square named |
30+| longctx | ~12k-token document, needle at 42% | code 7431-ALPHA returned |
31+| streaming | haiku, streamed | time-to-first-token measured |
32+
33+Settings: provider defaults (OpenAI Responses API; Anthropic adaptive thinking where supported), max 8 000 output tokens (6 000 for *-pro models, which ran a reduced 4-test suite), one run per test. Single-shot results are indicative, not statistically robust.
34+
35+## Verified chat models — ranked by quality score
36+
37+Quality score = share of the 9 graded tests passed (reasoning, math, code, french, english, json, tools, vision, longctx). Latency = median over text tests. Prices in $/1M tokens (input / output).
38+
39+| Model | Provider | Quality | p50 latency | p50 TTFT | Price in/out | Blended $/1M* | Failures / errors |
40+|---|---|---|---|---|---|---|---|
41+| claude-haiku-5-5 | anthropic | 100% | 883 ms | 637 ms | $0.1 / $0.5 | $0.20 | — |
42+| claude-haiku-4-5-20251001 | anthropic | 100% | 1119 ms | 405 ms | $1 / $5 | $2.00 | — |
43+| claude-sonnet-5 | anthropic | 100% | 1168 ms | 528 ms | $2 / $10 | $4.00 | — |
44+| chat-latest | openai | 100% | 1215 ms | 547 ms | $5 / $30 | $11.25 | — |
45+| claude-fable-5-1 | anthropic | 100% | 1321 ms | 364 ms | $10 / $50 | $20.00 | — |
46+| claude-sonnet-5-5 | anthropic | 100% | 1496 ms | 586 ms | $2 / $10 | $4.00 | — |
47+| gpt-6-sol | openai | 100% | 1516 ms | 1608 ms | $2 / $10 | $4.00 | — |
48+| gpt-5.6-sol | openai | 100% | 1527 ms | 2268 ms | $4 / $20 | $8.00 | — |
49+| gpt-5.6-luna | openai | 100% | 1581 ms | 3271 ms | $0.2 / $1.2 | $0.45 | — |
50+| o3 | openai | 100% | 1643 ms | 660 ms | $2 / $8 | $3.50 | — |
51+| claude-opus-4-7 | anthropic | 100% | 1659 ms | 537 ms | $5 / $25 | $10.00 | — |
52+| claude-opus-5-5 | anthropic | 100% | 1742 ms | 954 ms | $4 / $20 | $8.00 | — |
53+| claude-opus-4-8 | anthropic | 100% | 1887 ms | 622 ms | $5 / $25 | $10.00 | — |
54+| claude-sonnet-4-5-20250929 | anthropic | 100% | 1934 ms | 785 ms | $3 / $15 | $6.00 | — |
55+| gpt-6-luna | openai | 100% | 2005 ms | 2952 ms | $0.1 / $0.5 | $0.20 | — |
56+| gpt-6.1-sol | openai | 100% | 2020 ms | 3051 ms | $2 / $10 | $4.00 | — |
57+| gpt-5.5 | openai | 100% | 2089 ms | 730 ms | $5 / $30 | $11.25 | — |
58+| gpt-6-astra | openai | 100% | 2190 ms | 3799 ms | $10 / $50 | $20.00 | — |
59+| gpt-6.1-terra | openai | 100% | 2208 ms | 1841 ms | $1 / $5 | $2.00 | — |
60+| claude-opus-5 | anthropic | 100% | 2242 ms | 1136 ms | $5 / $25 | $10.00 | — |
61+| claude-fable-5 | anthropic | 100% | 2691 ms | 1862 ms | $10 / $50 | $20.00 | — |
62+| claude-sonnet-4-6 | anthropic | 100% | 2909 ms | 1732 ms | $3 / $15 | $6.00 | — |
63+| gpt-5-nano | openai | 100% | 3034 ms | 10356 ms | $0.05 / $0.4 | $0.14 | — |
64+| claude-opus-4-6 | anthropic | 100% | 3613 ms | 2309 ms | $5 / $25 | $10.00 | — |
65+| gpt-5-mini | openai | 100% | 3711 ms | 10075 ms | $0.25 / $2 | $0.69 | — |
66+| gpt-5 | openai | 100% | 3814 ms | 7922 ms | $1.25 / $10 | $3.44 | — |
67+| gpt-5.5-pro | openai | 100% | 5531 ms | — ms | $30 / $180 | $67.50 | — |
68+| gpt-5.2-pro | openai | 100% | 6297 ms | — ms | $21 / $168 | $57.75 | — |
69+| o3-pro | openai | 100% | 6627 ms | — ms | $20 / $80 | $35.00 | — |
70+| gpt-5.4-pro | openai | 100% | 14838 ms | — ms | $30 / $180 | $67.50 | — |
71+| gpt-5-pro | openai | 100% | 47132 ms | — ms | $15 / $120 | $41.25 | — |
72+| gpt-4.1 | openai | 89% | 704 ms | 413 ms | $2 / $8 | $3.50 | math |
73+| gpt-5.4-mini | openai | 89% | 888 ms | 458 ms | $0.75 / $4.5 | $1.69 | math |
74+| gpt-4.1-mini | openai | 89% | 897 ms | 343 ms | $0.4 / $1.6 | $0.70 | math |
75+| gpt-5.1 | openai | 89% | 1084 ms | 610 ms | $1.25 / $10 | $3.44 | math |
76+| gpt-5.3-codex | openai | 89% | 1209 ms | 545 ms | $1.75 / $14 | $4.81 | reasoning |
77+| gpt-5.6-terra | openai | 89% | 1214 ms | 611 ms | $2 / $12 | $4.50 | longctx |
78+| gpt-5.4 | openai | 89% | 1466 ms | 651 ms | $2.5 / $15 | $5.63 | reasoning |
79+| claude-opus-4-5-20251101 | anthropic | 89% | 1940 ms | 806 ms | $5 / $25 | $10.00 | longctx |
80+| gpt-4o-mini | openai | 78% | 893 ms | 482 ms | $0.15 / $0.6 | $0.26 | reasoning, math |
81+| gpt-5.4-nano | openai | 78% | 969 ms | 541 ms | $0.2 / $1.25 | $0.46 | reasoning, math |
82+| gpt-4o | openai | 78% | 1049 ms | 457 ms | $2.5 / $10 | $4.38 | reasoning, math |
83+| gpt-5.2 | openai | 78% | 1506 ms | 529 ms | $1.75 / $14 | $4.81 | reasoning, longctx |
84+| gpt-5-search-api | openai | 67% | 1707 ms | 1073 ms | $1.25 / $10 | $3.44 | math, tools⚠, vision |
85+
86+\* Blended = (3 × input + output) / 4, a simple comparison heuristic, not a billing figure.
87+
88+## Per-test results
89+
90+| Model | reasoning | math | code | french | english | json | tools | vision | longctx | basic | streaming |
91+|---|---|---|---|---|---|---|---|---|---|---|---|
92+| claude-fable-5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
93+| claude-fable-5-1 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
94+| claude-haiku-4-5-20251001 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
95+| claude-haiku-5-5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
96+| claude-opus-4-6 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
97+| claude-opus-4-7 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
98+| claude-opus-4-8 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
99+| claude-opus-5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
100+| claude-opus-5-5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
101+| claude-sonnet-4-5-20250929 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
102+| claude-sonnet-4-6 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
103+| claude-sonnet-5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
104+| claude-sonnet-5-5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
105+| claude-opus-4-5-20251101 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
106+| chat-latest | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
107+| gpt-5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
108+| gpt-5-mini | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
109+| gpt-5-nano | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
110+| gpt-5-pro | ✅ | · | · | · | · | ✅ | ✅ | · | · | ✅ | · |
111+| gpt-5.2-pro | ✅ | · | · | · | · | ✅ | ✅ | · | · | ✅ | · |
112+| gpt-5.4-pro | ✅ | · | · | · | · | ✅ | ✅ | · | · | ✅ | · |
113+| gpt-5.5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
114+| gpt-5.5-pro | ✅ | · | · | · | · | ✅ | ✅ | · | · | ✅ | · |
115+| gpt-5.6-luna | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
116+| gpt-5.6-sol | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
117+| gpt-6-astra | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
118+| gpt-6-luna | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
119+| gpt-6-sol | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
120+| gpt-6.1-sol | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
121+| gpt-6.1-terra | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
122+| o3 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
123+| o3-pro | ✅ | · | · | · | · | ✅ | ✅ | · | · | ✅ | · |
124+| gpt-4.1 | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
125+| gpt-4.1-mini | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
126+| gpt-5.1 | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
127+| gpt-5.3-codex | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
128+| gpt-5.4 | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
129+| gpt-5.4-mini | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
130+| gpt-5.6-terra | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
131+| gpt-4o | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
132+| gpt-4o-mini | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
133+| gpt-5.2 | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ |
134+| gpt-5.4-nano | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
135+| gpt-5-search-api | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ⚠️ | ❌ | ✅ | ✅ | ✅ |
136+
137+## Listed but unavailable
138+
139+These ids are returned by the provider's model listing but reject inference. The app marks them **unavailable** and hides them by default.
140+
141+| Model | Provider | Reason |
142+|---|---|---|
143+| gpt-3.5-turbo | openai | The model `gpt-3.5-turbo` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
144+| gpt-4 | openai | The model `gpt-4` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
145+| gpt-4-turbo | openai | The model `gpt-4-turbo` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
146+| gpt-4.1-nano | openai | The model `gpt-4.1-nano` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
147+| gpt-4o-mini-search-preview | openai | The model `gpt-4o-mini-search-preview` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
148+| gpt-4o-search-preview | openai | The model `gpt-4o-search-preview` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
149+| gpt-5-chat-latest | openai | The model `gpt-5-chat-latest` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
150+| gpt-5-codex | openai | The model `gpt-5-codex` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
151+| gpt-5.1-chat-latest | openai | The model `gpt-5.1-chat-latest` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
152+| gpt-5.1-codex | openai | The model `gpt-5.1-codex` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
153+| gpt-5.1-codex-max | openai | The model `gpt-5.1-codex-max` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
154+| gpt-5.1-codex-mini | openai | The model `gpt-5.1-codex-mini` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
155+| gpt-5.2-chat-latest | openai | The model `gpt-5.2-chat-latest` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
156+| gpt-5.2-codex | openai | The model `gpt-5.2-codex` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
157+| gpt-5.3-chat-latest | openai | The model `gpt-5.3-chat-latest` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
158+| gpt-audio | openai | 400 400 This model requires that either input content or output modality contain audio. |
159+| gpt-audio-1.5 | openai | 400 400 This model requires that either input content or output modality contain audio. |
160+| gpt-audio-mini | openai | 400 400 This model requires that either input content or output modality contain audio. |
161+| gpt-image-1 | openai | 400 400 The model 'gpt-image-1' does not exist. |
162+| o1 | openai | The model `o1` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
163+| o1-pro | openai | The model `o1-pro` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
164+| o3-mini | openai | The model `o3-mini` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
165+| o4-mini | openai | The model `o4-mini` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations |
166+
167+## Specialized models (modality tests)
168+
169+| Model | Kind | Result | Latency | Notes |
170+|---|---|---|---|---|
171+| chatgpt-image-latest | image | ✅ verified | 5382 ms | tokens {"input_tokens":17,"input_tokens_details":{"image_tokens":0,"text_tokens":17},"o |
172+| gpt-4o-mini-transcribe | stt | ✅ verified | 412 ms | "Bonjour, ceci est un test de synthèse vocale pour Chat SP Bo" |
173+| gpt-4o-mini-tts | tts | ✅ verified | 542 ms | |
174+| gpt-4o-transcribe | stt | ✅ verified | 625 ms | "Bonjour, ceci est un test de synthèse vocale pour Chat SP Bo" |
175+| gpt-4o-transcribe-diarize | stt | ✅ verified | 2799 ms | "Bonjour, ceci est un test de synthèse vocale pour Chat spbou" |
176+| gpt-audio | audio-chat | ❌ 400 400 This model requires that either input content or output modality contain audio. | 122 ms | |
177+| gpt-audio-1.5 | audio-chat | ❌ 400 400 This model requires that either input content or output modality contain audio. | 103 ms | |
178+| gpt-audio-mini | audio-chat | ❌ 400 400 This model requires that either input content or output modality contain audio. | 132 ms | |
179+| gpt-image-1 | image | ❌ 400 400 The model 'gpt-image-1' does not exist. | 174 ms | |
180+| gpt-image-1-mini | image | ✅ verified | 5797 ms | tokens {"input_tokens":17,"input_tokens_details":{"image_tokens":0,"text_tokens":17},"o |
181+| gpt-image-1.5 | image | ✅ verified | 4864 ms | tokens {"input_tokens":17,"input_tokens_details":{"image_tokens":0,"text_tokens":17},"o |
182+| gpt-image-2 | image | ✅ verified | 6375 ms | tokens {"input_tokens":17,"input_tokens_details":{"image_tokens":0,"text_tokens":17},"o |
183+| gpt-image-2.5-flare | image | ✅ verified | 4765 ms | tokens {"input_tokens":17,"input_tokens_details":{"image_tokens":0,"text_tokens":17},"o |
184+| gpt-image-2.5-sunburst | image | ✅ verified | 6665 ms | tokens {"input_tokens":17,"input_tokens_details":{"image_tokens":0,"text_tokens":17},"o |
185+| gpt-transcribe | stt | ✅ verified | 459 ms | "Bonjour, ceci est un test de synthèse vocale pour Chat SPBoc" |
186+| omni-moderation-latest | moderation | ✅ verified | 521 ms | |
187+| text-embedding-3-large | embedding | ✅ verified | 215 ms | 3072 dims |
188+| text-embedding-3-small | embedding | ✅ verified | 319 ms | 1536 dims |
189+| text-embedding-ada-002 | embedding | ✅ verified | 162 ms | 1536 dims |
190+| tts-1 | tts | ✅ verified | 2195 ms | |
191+| tts-1-hd | tts | ✅ verified | 1689 ms | |
192+| whisper-1 | stt | ✅ verified | 642 ms | "Bonjour, ceci est un test de synthèse vocale pour Tchat, SP " |
193+
194+## Not exercised
195+
196+| Model | Kind | Why |
197+|---|---|---|
198+| babbage-002 | legacy-completion | Legacy completions endpoint — not used by this app |
199+| davinci-002 | legacy-completion | Legacy completions endpoint — not used by this app |
200+| gpt-3.5-turbo-instruct | legacy-completion | Legacy completions endpoint — not used by this app |
201+| gpt-3.5-turbo-instruct-0914 | legacy-completion | Legacy completions endpoint — not used by this app |
202+| gpt-live-1 | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
203+| gpt-live-transcribe | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
204+| gpt-realtime | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
205+| gpt-realtime-1.5 | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
206+| gpt-realtime-2 | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
207+| gpt-realtime-2.1 | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
208+| gpt-realtime-2.1-mini | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
209+| gpt-realtime-mini | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
210+| gpt-realtime-translate | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
211+| gpt-realtime-whisper | realtime | WebSocket/WebRTC realtime model — not a chat-completion model; not exercised |
212+| o3-deep-research | deep-research | Requires hosted web-search tools and long runs — not benchmarked without explicit budget approval |
213+| o4-mini-deep-research | deep-research | Requires hosted web-search tools and long runs — not benchmarked without explicit budget approval |
214+| sora-2 | video | Video generation — not tested (cost) |
215+| sora-2-pro | video | Video generation — not tested (cost) |
216+| tts-1-1106 | tts | not tested |
217+| tts-1-hd-1106 | tts | not tested |
218+
219+## Errors encountered on verified models
220+
221+- **gpt-5-search-api**: tools: 404 404 tools is not supported in this model. For a list of supported models, refer to https://platform.openai.com/docs/guides/function-call
222+
223+## Limitations
224+
225+- One run per test: latency and pass/fail are single observations.
226+- Reasoning models spend hidden reasoning tokens; their latency and cost reflect default effort.
227+- Pricing was read from the public pricing pages on 2026-11-01; models missing from those pages have no cost estimate.
228+- The long-context test uses ~12k tokens, far below the advertised windows; it checks retrieval, not window size.
added benchmarks/capability-matrix.json +3610 −0
@@ -0,0 +1,3610 @@
1+{
2+ "generatedAt": "2026-11-01T07:22:05.282Z",
3+ "entries": [
4+ {
5+ "id": "claude-fable-5",
6+ "provider": "anthropic",
7+ "kind": "chat",
8+ "available": true,
9+ "tested": true,
10+ "status": "verified",
11+ "capabilities": {
12+ "text": true,
13+ "vision": true,
14+ "tools": true,
15+ "structuredOutput": true,
16+ "streaming": true,
17+ "reasoning": true,
18+ "longContext": true,
19+ "audioInput": false,
20+ "audioOutput": false,
21+ "imageGeneration": false
22+ },
23+ "pricing": {
24+ "input": 10,
25+ "cacheWrite5m": 12.5,
26+ "cacheWrite1h": 20,
27+ "cachedInput": 1,
28+ "output": 50
29+ },
30+ "lastVerifiedAt": "2026-11-01T07:22:05.282Z",
31+ "contextWindow": 1000000,
32+ "maxOutputTokens": 128000,
33+ "benchmark": {
34+ "tests": 11,
35+ "passed": 11,
36+ "qualityScore": 100,
37+ "p50LatencyMs": 2691,
38+ "p50TtftMs": 1862,
39+ "totalCostUsd": 0.20264,
40+ "avgOutputTokens": 77,
41+ "perTest": {
42+ "basic": "pass",
43+ "reasoning": "pass",
44+ "math": "pass",
45+ "code": "pass",
46+ "french": "pass",
47+ "english": "pass",
48+ "json": "pass",
49+ "tools": "pass",
50+ "vision": "pass",
51+ "longctx": "pass",
52+ "streaming": "pass"
53+ },
54+ "errors": []
55+ }
56+ },
57+ {
58+ "id": "claude-fable-5-1",
59+ "provider": "anthropic",
60+ "kind": "chat",
61+ "available": true,
62+ "tested": true,
63+ "status": "verified",
64+ "capabilities": {
65+ "text": true,
66+ "vision": true,
67+ "tools": true,
68+ "structuredOutput": true,
69+ "streaming": true,
70+ "reasoning": true,
71+ "longContext": true,
72+ "audioInput": false,
73+ "audioOutput": false,
74+ "imageGeneration": false
75+ },
76+ "pricing": {
77+ "input": 10,
78+ "cacheWrite5m": 12.5,
79+ "cacheWrite1h": 20,
80+ "cachedInput": 0.25,
81+ "output": 50
82+ },
83+ "lastVerifiedAt": "2026-11-01T07:22:05.282Z",
84+ "contextWindow": 1000000,
85+ "maxOutputTokens": 128000,
86+ "benchmark": {
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88+ "passed": 11,
89+ "qualityScore": 100,
90+ "p50LatencyMs": 1321,
91+ "p50TtftMs": 364,
92+ "totalCostUsd": 0.20326999999999998,
93+ "avgOutputTokens": 77,
94+ "perTest": {
95+ "basic": "pass",
96+ "reasoning": "pass",
97+ "math": "pass",
98+ "code": "pass",
99+ "french": "pass",
100+ "english": "pass",
101+ "json": "pass",
102+ "tools": "pass",
103+ "vision": "pass",
104+ "longctx": "pass",
105+ "streaming": "pass"
106+ },
107+ "errors": []
108+ }
109+ },
110+ {
111+ "id": "claude-haiku-4-5-20251001",
112+ "provider": "anthropic",
113+ "kind": "chat",
114+ "available": true,
115+ "tested": true,
116+ "status": "verified",
117+ "capabilities": {
118+ "text": true,
119+ "vision": true,
120+ "tools": true,
121+ "structuredOutput": true,
122+ "streaming": true,
123+ "reasoning": true,
124+ "longContext": true,
125+ "audioInput": false,
126+ "audioOutput": false,
127+ "imageGeneration": false
128+ },
129+ "pricing": {
130+ "input": 1,
131+ "cacheWrite5m": 1.25,
132+ "cacheWrite1h": 2,
133+ "cachedInput": 0.1,
134+ "output": 5
135+ },
136+ "lastVerifiedAt": "2026-11-01T07:22:05.282Z",
137+ "contextWindow": 200000,
138+ "maxOutputTokens": 64000,
139+ "benchmark": {
140+ "tests": 11,
141+ "passed": 11,
142+ "qualityScore": 100,
143+ "p50LatencyMs": 1119,
144+ "p50TtftMs": 405,
145+ "totalCostUsd": 0.015415,
146+ "avgOutputTokens": 58,
147+ "perTest": {
148+ "basic": "pass",
149+ "reasoning": "pass",
150+ "math": "pass",
151+ "code": "pass",
152+ "french": "pass",
153+ "english": "pass",
154+ "json": "pass",
155+ "tools": "pass",
156+ "vision": "pass",
157+ "longctx": "pass",
158+ "streaming": "pass"
159+ },
160+ "errors": []
161+ }
162+ },
163+ {
164+ "id": "claude-haiku-5-5",
165+ "provider": "anthropic",
166+ "kind": "chat",
167+ "available": true,
168+ "tested": true,
169+ "status": "verified",
170+ "capabilities": {
171+ "text": true,
172+ "vision": true,
173+ "tools": true,
174+ "structuredOutput": true,
175+ "streaming": true,
176+ "reasoning": true,
177+ "longContext": true,
178+ "audioInput": false,
179+ "audioOutput": false,
180+ "imageGeneration": false
181+ },
182+ "pricing": {
183+ "input": 0.1,
184+ "cacheWrite5m": 0.125,
185+ "cacheWrite1h": 0.2,
186+ "cachedInput": 0.01,
187+ "output": 0.5,
188+ "notes": "prompts >100K tokens: $0.50/$2.50"
189+ },
190+ "lastVerifiedAt": "2026-11-01T07:22:05.282Z",
191+ "contextWindow": 1000000,
192+ "maxOutputTokens": 128000,
193+ "benchmark": {
194+ "tests": 11,
195+ "passed": 11,
196+ "qualityScore": 100,
197+ "p50LatencyMs": 883,
198+ "p50TtftMs": 637,
199+ "totalCostUsd": 0.0021742000000000003,
200+ "avgOutputTokens": 103,
201+ "perTest": {
202+ "basic": "pass",
203+ "reasoning": "pass",
204+ "math": "pass",
205+ "code": "pass",
206+ "french": "pass",
207+ "english": "pass",
208+ "json": "pass",
209+ "tools": "pass",
210+ "vision": "pass",
211+ "longctx": "pass",
212+ "streaming": "pass"
213+ },
214+ "errors": []
215+ }
216+ },
217+ {
218+ "id": "claude-opus-4-6",
219+ "provider": "anthropic",
220+ "kind": "chat",
221+ "available": true,
222+ "tested": true,
223+ "status": "verified",
224+ "capabilities": {
225+ "text": true,
226+ "vision": true,
227+ "tools": true,
228+ "structuredOutput": true,
229+ "streaming": true,
230+ "reasoning": true,
231+ "longContext": true,
232+ "audioInput": false,
233+ "audioOutput": false,
234+ "imageGeneration": false
235+ },
236+ "pricing": {
237+ "input": 5,
238+ "cacheWrite5m": 6.25,
239+ "cacheWrite1h": 10,
240+ "cachedInput": 0.5,
241+ "output": 25
242+ },
243+ "lastVerifiedAt": "2026-11-01T07:22:05.282Z",
244+ "contextWindow": 1000000,
245+ "maxOutputTokens": 128000,
246+ "benchmark": {
247+ "tests": 11,
248+ "passed": 11,
249+ "qualityScore": 100,
250+ "p50LatencyMs": 3613,
251+ "p50TtftMs": 2309,
252+ "totalCostUsd": 0.08978,
253+ "avgOutputTokens": 104,
254+ "perTest": {
255+ "basic": "pass",
256+ "reasoning": "pass",
257+ "math": "pass",
258+ "code": "pass",
259+ "french": "pass",
260+ "english": "pass",
261+ "json": "pass",
262+ "tools": "pass",
263+ "vision": "pass",
264+ "longctx": "pass",
265+ "streaming": "pass"
266+ },
267+ "errors": []
268+ }
269+ },
270+ {
271+ "id": "claude-opus-4-7",
272+ "provider": "anthropic",
273+ "kind": "chat",
274+ "available": true,
275+ "tested": true,
276+ "status": "verified",
277+ "capabilities": {
278+ "text": true,
279+ "vision": true,
280+ "tools": true,
281+ "structuredOutput": true,
282+ "streaming": true,
283+ "reasoning": true,
284+ "longContext": true,
285+ "audioInput": false,
286+ "audioOutput": false,
287+ "imageGeneration": false
288+ },
289+ "pricing": {
290+ "input": 5,
291+ "cacheWrite5m": 6.25,
292+ "cacheWrite1h": 10,
293+ "cachedInput": 0.5,
294+ "output": 25
295+ },
296+ "lastVerifiedAt": "2026-11-01T07:22:05.282Z",
297+ "contextWindow": 1000000,
298+ "maxOutputTokens": 128000,
299+ "benchmark": {
300+ "tests": 11,
301+ "passed": 11,
302+ "qualityScore": 100,
303+ "p50LatencyMs": 1659,
304+ "p50TtftMs": 537,
305+ "totalCostUsd": 0.10087499999999999,
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309+ "reasoning": "pass",
310+ "math": "pass",
311+ "code": "pass",
312+ "french": "pass",
313+ "english": "pass",
314+ "json": "pass",
315+ "tools": "pass",
316+ "vision": "pass",
317+ "longctx": "pass",
318+ "streaming": "pass"
319+ },
320+ "errors": []
321+ }
322+ },
323+ {
324+ "id": "claude-opus-4-8",
325+ "provider": "anthropic",
326+ "kind": "chat",
327+ "available": true,
328+ "tested": true,
329+ "status": "verified",
330+ "capabilities": {
331+ "text": true,
332+ "vision": true,
333+ "tools": true,
334+ "structuredOutput": true,
335+ "streaming": true,
336+ "reasoning": true,
337+ "longContext": true,
338+ "audioInput": false,
339+ "audioOutput": false,
340+ "imageGeneration": false
341+ },
342+ "pricing": {
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345+ "cacheWrite1h": 10,
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348+ },
349+ "lastVerifiedAt": "2026-11-01T07:22:05.282Z",
350+ "contextWindow": 1000000,
351+ "maxOutputTokens": 128000,
352+ "benchmark": {
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354+ "passed": 11,
355+ "qualityScore": 100,
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357+ "p50TtftMs": 622,
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362+ "reasoning": "pass",
363+ "math": "pass",
364+ "code": "pass",
365+ "french": "pass",
366+ "english": "pass",
367+ "json": "pass",
368+ "tools": "pass",
369+ "vision": "pass",
370+ "longctx": "pass",
371+ "streaming": "pass"
372+ },
373+ "errors": []
374+ }
375+ },
376+ {
377+ "id": "claude-opus-5",
378+ "provider": "anthropic",
379+ "kind": "chat",
380+ "available": true,
381+ "tested": true,
382+ "status": "verified",
383+ "capabilities": {
384+ "text": true,
385+ "vision": true,
386+ "tools": true,
387+ "structuredOutput": true,
388+ "streaming": true,
389+ "reasoning": true,
390+ "longContext": true,
391+ "audioInput": false,
392+ "audioOutput": false,
393+ "imageGeneration": false
394+ },
395+ "pricing": {
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397+ "cacheWrite5m": 6.25,
398+ "cacheWrite1h": 10,
399+ "cachedInput": 0.5,
400+ "output": 25
401+ },
402+ "lastVerifiedAt": "2026-11-01T07:22:05.282Z",
403+ "contextWindow": 1000000,
404+ "maxOutputTokens": 128000,
405+ "benchmark": {
406+ "tests": 11,
407+ "passed": 11,
408+ "qualityScore": 100,
409+ "p50LatencyMs": 2242,
410+ "p50TtftMs": 1136,
411+ "totalCostUsd": 0.12025,
412+ "avgOutputTokens": 146,
413+ "perTest": {
414+ "reasoning": "pass",
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\ No newline at end of file
added benchmarks/openai-results.json +5869 −0
@@ -0,0 +1,5869 @@
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5645+ "output": 290,
5646+ "cachedInput": 0,
5647+ "reasoning": 192
5648+ },
5649+ "api": "responses",
5650+ "raw": {
5651+ "status": "completed",
5652+ "incomplete": null
5653+ },
5654+ "sample": "La méthode du coût, ou approche par le coût de remplacement, consiste à estimer la valeur d’un bien immobilier en additionnant la valeur du terrain à celle du coût actuel de reconstruction ou de reconstitution du bâtiment, puis en retranchant la dépréciation physique, fonctionnelle et économique. El",
5655+ "costUsd": 0.002382
5656+ },
5657+ {
5658+ "test": "english",
5659+ "ok": true,
5660+ "latencyMs": 1757,
5661+ "usage": {
5662+ "input": 20,
5663+ "output": 234,
5664+ "cachedInput": 0,
5665+ "reasoning": 128
5666+ },
5667+ "api": "responses",
5668+ "raw": {
5669+ "status": "completed",
5670+ "incomplete": null
5671+ },
5672+ "sample": "A hedonic pricing model is an econometric technique that decomposes the market price of a differentiated good into the implicit prices of its observable attributes. By regressing transaction prices on characteristics such as size, quality, location, and environmental factors, it quantifies how much ",
5673+ "costUsd": 0.001912
5674+ },
5675+ {
5676+ "test": "json",
5677+ "ok": true,
5678+ "latencyMs": 1596,
5679+ "usage": {
5680+ "input": 52,
5681+ "output": 207,
5682+ "cachedInput": 0,
5683+ "reasoning": 128
5684+ },
5685+ "api": "responses",
5686+ "raw": {
5687+ "status": "completed",
5688+ "incomplete": null
5689+ },
5690+ "sample": "{\"city\":\"Gatineau\",\"country\":\"Canada\",\"province\":\"Quebec\",\"population_estimate\":291041}",
5691+ "costUsd": 0.00176
5692+ },
5693+ {
5694+ "test": "tools",
5695+ "ok": true,
5696+ "latencyMs": 1182,
5697+ "usage": {
5698+ "input": 66,
5699+ "output": 135,
5700+ "cachedInput": 0,
5701+ "reasoning": 64
5702+ },
5703+ "api": "responses",
5704+ "raw": {
5705+ "status": "completed",
5706+ "incomplete": null
5707+ },
5708+ "sample": "{\"name\":\"get_weather\",\"arguments\":\"{\\\"location\\\":\\\"Gatineau, Quebec\\\"}\"}",
5709+ "costUsd": 0.001212
5710+ },
5711+ {
5712+ "test": "vision",
5713+ "ok": true,
5714+ "latencyMs": 1256,
5715+ "usage": {
5716+ "input": 112,
5717+ "output": 89,
5718+ "cachedInput": 0,
5719+ "reasoning": 64
5720+ },
5721+ "api": "responses",
5722+ "raw": {
5723+ "status": "completed",
5724+ "incomplete": null
5725+ },
5726+ "sample": "circles=3; other=square",
5727+ "costUsd": 0.000936
5728+ },
5729+ {
5730+ "test": "longctx",
5731+ "ok": true,
5732+ "latencyMs": 1620,
5733+ "usage": {
5734+ "input": 9134,
5735+ "output": 192,
5736+ "cachedInput": 0,
5737+ "reasoning": 128
5738+ },
5739+ "api": "responses",
5740+ "raw": {
5741+ "status": "completed",
5742+ "incomplete": null
5743+ },
5744+ "sample": "7431-ALPHA",
5745+ "costUsd": 0.019804
5746+ },
5747+ {
5748+ "test": "streaming",
5749+ "ok": true,
5750+ "latencyMs": 1039,
5751+ "ttftMs": 660,
5752+ "usage": {
5753+ "input": 15,
5754+ "output": 39,
5755+ "cachedInput": 0,
5756+ "reasoning": 0
5757+ },
5758+ "api": "responses",
5759+ "sample": "Snow cloaks silent pines, \nSaint-Lawrence exhales cold mist— \nStars crackle like ice.",
5760+ "costUsd": 0.000342
5761+ }
5762+ ],
5763+ "api": "responses"
5764+ },
5765+ "o3-mini": {
5766+ "provider": "openai",
5767+ "kind": "chat",
5768+ "tests": [
5769+ {
5770+ "test": "basic",
5771+ "ok": false,
5772+ "latencyMs": 275,
5773+ "error": "404 404 The model `o3-mini` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations"
5774+ }
5775+ ]
5776+ },
5777+ "o3-pro": {
5778+ "provider": "openai",
5779+ "kind": "chat-pro",
5780+ "tests": [
5781+ {
5782+ "test": "basic",
5783+ "ok": true,
5784+ "latencyMs": 4543,
5785+ "usage": {
5786+ "input": 19,
5787+ "output": 35,
5788+ "cachedInput": 0,
5789+ "reasoning": 0
5790+ },
5791+ "api": "responses",
5792+ "raw": {
5793+ "status": "completed",
5794+ "incomplete": null
5795+ },
5796+ "sample": "Ottawa",
5797+ "costUsd": 0.00318
5798+ },
5799+ {
5800+ "test": "reasoning",
5801+ "ok": true,
5802+ "latencyMs": 9652,
5803+ "usage": {
5804+ "input": 42,
5805+ "output": 168,
5806+ "cachedInput": 0,
5807+ "reasoning": 64
5808+ },
5809+ "api": "responses",
5810+ "raw": {
5811+ "status": "completed",
5812+ "incomplete": null
5813+ },
5814+ "sample": "A brother of Alice counts all his female siblings as sisters. \nAlice herself is female, and there are 2 additional sisters. \nThus, each brother has 1 (Alice) + 2 (other sisters) = 3 sisters.\n\nANSWER: 3",
5815+ "costUsd": 0.01428
5816+ },
5817+ {
5818+ "test": "json",
5819+ "ok": true,
5820+ "latencyMs": 6627,
5821+ "usage": {
5822+ "input": 52,
5823+ "output": 218,
5824+ "cachedInput": 0,
5825+ "reasoning": 128
5826+ },
5827+ "api": "responses",
5828+ "raw": {
5829+ "status": "completed",
5830+ "incomplete": null
5831+ },
5832+ "sample": "{\"city\":\"Gatineau\",\"country\":\"Canada\",\"province\":\"Quebec\",\"population_estimate\":291041}",
5833+ "costUsd": 0.01848
5834+ },
5835+ {
5836+ "test": "tools",
5837+ "ok": true,
5838+ "latencyMs": 6422,
5839+ "usage": {
5840+ "input": 66,
5841+ "output": 117,
5842+ "cachedInput": 0,
5843+ "reasoning": 64
5844+ },
5845+ "api": "responses",
5846+ "raw": {
5847+ "status": "completed",
5848+ "incomplete": null
5849+ },
5850+ "sample": "{\"name\":\"get_weather\",\"arguments\":\"{\\\"location\\\":\\\"Gatineau, Quebec\\\"}\"}",
5851+ "costUsd": 0.01068
5852+ }
5853+ ],
5854+ "api": "responses"
5855+ },
5856+ "o4-mini": {
5857+ "provider": "openai",
5858+ "kind": "chat",
5859+ "tests": [
5860+ {
5861+ "test": "basic",
5862+ "ok": false,
5863+ "latencyMs": 243,
5864+ "error": "404 404 The model `o4-mini` has been deprecated, learn more here: https://platform.openai.com/docs/deprecations"
5865+ }
5866+ ]
5867+ }
5868+ }
5869+}
\ No newline at end of file
added benchmarks/pricing.json +98 −0
@@ -0,0 +1,98 @@
1+{
2+ "_meta": {
3+ "verifiedAt": "2026-11-01",
4+ "unit": "USD per 1M tokens unless noted",
5+ "sources": {
6+ "openai": "https://developers.openai.com/api/docs/pricing (standard tier, <272K context)",
7+ "anthropic": "https://platform.claude.com/docs/en/about-claude/pricing"
8+ },
9+ "note": "Models absent from this file have no verified price; the app must display their cost as unknown."
10+ },
11+ "openai": {
12+ "gpt-6-astra": {"input": 10, "cachedInput": 1, "output": 50, "notes": "long context (>272K) $20/$2/$75"},
13+ "gpt-6.1-sol": {"input": 2, "cachedInput": 0.10, "output": 10},
14+ "gpt-6.1-terra": {"input": 1, "cachedInput": 0.05, "output": 5},
15+ "gpt-6-luna": {"input": 0.10, "cachedInput": 0.01, "output": 0.50},
16+ "gpt-6-sol": {"input": 2, "cachedInput": 0.20, "output": 10},
17+ "gpt-5.6-sol": {"input": 4, "cachedInput": 0.40, "output": 20, "notes": "promotional through at least 2026-11-21"},
18+ "gpt-5.6-terra": {"input": 2, "cachedInput": 0.20, "output": 12},
19+ "gpt-5.6-luna": {"input": 0.20, "cachedInput": 0.02, "output": 1.20},
20+ "gpt-5.5": {"input": 5, "cachedInput": 0.50, "output": 30},
21+ "gpt-5.5-pro": {"input": 30, "output": 180},
22+ "gpt-5.4": {"input": 2.50, "cachedInput": 0.25, "output": 15},
23+ "gpt-5.4-pro": {"input": 30, "output": 180},
24+ "gpt-5.4-mini": {"input": 0.75, "cachedInput": 0.075, "output": 4.50},
25+ "gpt-5.4-nano": {"input": 0.20, "cachedInput": 0.02, "output": 1.25},
26+ "gpt-5.2": {"input": 1.75, "cachedInput": 0.175, "output": 14},
27+ "gpt-5.2-pro": {"input": 21, "output": 168},
28+ "gpt-5.1": {"input": 1.25, "cachedInput": 0.125, "output": 10},
29+ "gpt-5": {"input": 1.25, "cachedInput": 0.125, "output": 10},
30+ "gpt-5-mini": {"input": 0.25, "cachedInput": 0.025, "output": 2},
31+ "gpt-5-nano": {"input": 0.05, "cachedInput": 0.005, "output": 0.40},
32+ "gpt-5-pro": {"input": 15, "output": 120},
33+ "gpt-4.1": {"input": 2, "cachedInput": 0.50, "output": 8},
34+ "gpt-4.1-mini": {"input": 0.40, "cachedInput": 0.10, "output": 1.60},
35+ "gpt-4.1-nano": {"input": 0.10, "cachedInput": 0.025, "output": 0.40},
36+ "gpt-4o": {"input": 2.50, "cachedInput": 1.25, "output": 10},
37+ "gpt-4o-mini": {"input": 0.15, "cachedInput": 0.075, "output": 0.60},
38+ "o1": {"input": 15, "cachedInput": 7.50, "output": 60},
39+ "o1-pro": {"input": 150, "output": 600},
40+ "o3-pro": {"input": 20, "output": 80},
41+ "o3": {"input": 2, "cachedInput": 0.50, "output": 8},
42+ "o4-mini": {"input": 1.10, "cachedInput": 0.275, "output": 4.40},
43+ "o3-mini": {"input": 1.10, "cachedInput": 0.55, "output": 4.40},
44+ "gpt-4-turbo": {"input": 10, "output": 30, "notes": "listed as gpt-4-turbo-2024-04-09"},
45+ "gpt-4": {"input": 30, "output": 60, "notes": "listed as gpt-4-0613"},
46+ "gpt-3.5-turbo": {"input": 0.50, "output": 1.50},
47+ "chat-latest": {"input": 5, "cachedInput": 0.50, "output": 30, "notes": "ChatGPT model"},
48+ "gpt-5.3-codex": {"input": 1.75, "cachedInput": 0.175, "output": 14},
49+ "gpt-5-search-api": {"input": 1.25, "cachedInput": 0.125, "output": 10},
50+ "gpt-image-2.5-sunburst": {"imageInput": 8, "imageCachedInput": 2, "imageOutput": 30, "input": 5, "cachedInput": 1.25, "unit": "image tokens / text tokens"},
51+ "gpt-image-2.5-flare": {"imageInput": 8, "imageCachedInput": 2, "imageOutput": 30, "input": 5, "cachedInput": 1.25, "unit": "image tokens / text tokens"},
52+ "gpt-image-2": {"imageInput": 8, "imageCachedInput": 2, "imageOutput": 30, "input": 5, "cachedInput": 1.25, "unit": "image tokens / text tokens"},
53+ "gpt-image-1.5": {"imageInput": 8, "imageCachedInput": 2, "imageOutput": 32, "input": 5, "cachedInput": 1.25, "output": 10, "unit": "image tokens / text tokens"},
54+ "gpt-image-1-mini": {"imageInput": 2.50, "imageCachedInput": 0.25, "imageOutput": 8, "input": 2, "cachedInput": 0.20, "unit": "image tokens / text tokens"},
55+ "chatgpt-image-latest": {"imageInput": 8, "imageCachedInput": 2, "imageOutput": 32, "input": 5, "cachedInput": 1.25, "output": 10, "unit": "image tokens / text tokens"},
56+ "gpt-realtime-2.1": {"audioInput": 32, "audioOutput": 64, "input": 4, "cachedInput": 0.40, "output": 24, "unit": "audio tokens / text tokens"},
57+ "gpt-realtime-2.1-mini": {"audioInput": 10, "audioOutput": 20, "input": 0.60, "cachedInput": 0.06, "output": 2.40},
58+ "gpt-realtime-2": {"audioInput": 32, "audioOutput": 64, "input": 4, "cachedInput": 0.40, "output": 24},
59+ "gpt-realtime-1.5": {"audioInput": 32, "audioOutput": 64, "input": 4, "cachedInput": 0.40, "output": 16},
60+ "gpt-realtime": {"audioInput": 32, "audioOutput": 64, "input": 4, "cachedInput": 0.40, "output": 16},
61+ "gpt-realtime-mini": {"audioInput": 10, "audioOutput": 20, "input": 0.60, "cachedInput": 0.06, "output": 2.40},
62+ "gpt-audio-1.5": {"audioInput": 32, "audioOutput": 64, "input": 2.50, "output": 10},
63+ "gpt-audio": {"audioInput": 32, "audioOutput": 64, "input": 2.50, "output": 10},
64+ "gpt-audio-mini": {"audioInput": 10, "audioOutput": 20, "input": 0.60, "output": 2.40},
65+ "gpt-4o-mini-tts": {"input": 0.60, "audioOutput": 12, "notes": "~$0.015 per minute"},
66+ "tts-1": {"perMillionCharacters": 15},
67+ "tts-1-hd": {"perMillionCharacters": 30},
68+ "gpt-live-1": {"perMinute": 0.05},
69+ "gpt-realtime-translate": {"perMinute": 0.034},
70+ "gpt-live-transcribe": {"perMinute": 0.017},
71+ "gpt-realtime-whisper": {"perMinute": 0.017},
72+ "gpt-transcribe": {"perMinute": 0.0045},
73+ "gpt-4o-transcribe": {"audioInput": 2.50, "output": 10, "perMinute": 0.006},
74+ "gpt-4o-mini-transcribe": {"audioInput": 1.25, "output": 5, "perMinute": 0.003},
75+ "gpt-4o-transcribe-diarize": {"audioInput": 2.50, "output": 10, "perMinute": 0.006},
76+ "whisper-1": {"perMinute": 0.006, "notes": "page lists 'Whisper'"},
77+ "text-embedding-3-small": {"input": 0.02},
78+ "text-embedding-3-large": {"input": 0.13},
79+ "text-embedding-ada-002": {"input": 0.10},
80+ "omni-moderation-latest": {"input": 0, "notes": "free"}
81+ },
82+ "anthropic": {
83+ "claude-fable-5-1": {"input": 10, "cacheWrite5m": 12.50, "cacheWrite1h": 20, "cachedInput": 0.25, "output": 50},
84+ "claude-fable-5": {"input": 10, "cacheWrite5m": 12.50, "cacheWrite1h": 20, "cachedInput": 1, "output": 50},
85+ "claude-opus-5-5": {"input": 4, "cacheWrite5m": 5, "cacheWrite1h": 8, "cachedInput": 0.20, "output": 20},
86+ "claude-opus-5": {"input": 5, "cacheWrite5m": 6.25, "cacheWrite1h": 10, "cachedInput": 0.50, "output": 25},
87+ "claude-opus-4-8": {"input": 5, "cacheWrite5m": 6.25, "cacheWrite1h": 10, "cachedInput": 0.50, "output": 25},
88+ "claude-opus-4-7": {"input": 5, "cacheWrite5m": 6.25, "cacheWrite1h": 10, "cachedInput": 0.50, "output": 25},
89+ "claude-opus-4-6": {"input": 5, "cacheWrite5m": 6.25, "cacheWrite1h": 10, "cachedInput": 0.50, "output": 25},
90+ "claude-opus-4-5-20251101": {"input": 5, "cacheWrite5m": 6.25, "cacheWrite1h": 10, "cachedInput": 0.50, "output": 25},
91+ "claude-sonnet-5-5": {"input": 2, "cacheWrite5m": 2.50, "cacheWrite1h": 4, "cachedInput": 0.10, "output": 10},
92+ "claude-sonnet-5": {"input": 2, "cacheWrite5m": 2.50, "cacheWrite1h": 4, "cachedInput": 0.20, "output": 10},
93+ "claude-sonnet-4-6": {"input": 3, "cacheWrite5m": 3.75, "cacheWrite1h": 6, "cachedInput": 0.30, "output": 15},
94+ "claude-sonnet-4-5-20250929": {"input": 3, "cacheWrite5m": 3.75, "cacheWrite1h": 6, "cachedInput": 0.30, "output": 15, "notes": "deprecated, retires 2026-11-30"},
95+ "claude-haiku-5-5": {"input": 0.10, "cacheWrite5m": 0.125, "cacheWrite1h": 0.20, "cachedInput": 0.01, "output": 0.50, "notes": "prompts >100K tokens: $0.50/$2.50"},
96+ "claude-haiku-4-5-20251001": {"input": 1, "cacheWrite5m": 1.25, "cacheWrite1h": 2, "cachedInput": 0.10, "output": 5}
97+ }
98+}
added benchmarks/routing-recommendations.json +89 −0
@@ -0,0 +1,89 @@
1+{
2+ "generatedAt": "2026-11-01T07:22:05.282Z",
3+ "modes": {
4+ "quality": [
5+ "claude-fable-5-1",
6+ "gpt-6-astra",
7+ "claude-fable-5"
8+ ],
9+ "fast": [
10+ "gpt-4.1",
11+ "claude-haiku-5-5",
12+ "gpt-5.4-mini"
13+ ],
14+ "economy": [
15+ "gpt-5-nano",
16+ "claude-haiku-5-5",
17+ "gpt-6-luna"
18+ ]
19+ },
20+ "byTask": {
21+ "code": [
22+ "gpt-5-nano",
23+ "claude-haiku-5-5",
24+ "gpt-6-luna"
25+ ],
26+ "math": [
27+ "gpt-5-nano",
28+ "claude-haiku-5-5",
29+ "gpt-6-luna"
30+ ],
31+ "reasoning": [
32+ "gpt-5-nano",
33+ "claude-haiku-5-5",
34+ "gpt-6-luna"
35+ ],
36+ "french": [
37+ "gpt-5-nano",
38+ "claude-haiku-5-5",
39+ "gpt-6-luna"
40+ ],
41+ "vision": [
42+ "gpt-5-nano",
43+ "claude-haiku-5-5",
44+ "gpt-6-luna"
45+ ],
46+ "tools": [
47+ "gpt-5-nano",
48+ "claude-haiku-5-5",
49+ "gpt-6-luna"
50+ ],
51+ "json": [
52+ "gpt-5-nano",
53+ "claude-haiku-5-5",
54+ "gpt-6-luna"
55+ ],
56+ "longctx": [
57+ "gpt-5-nano",
58+ "claude-haiku-5-5",
59+ "gpt-6-luna"
60+ ]
61+ },
62+ "specialized": {
63+ "imageGeneration": [
64+ "chatgpt-image-latest",
65+ "gpt-image-1-mini",
66+ "gpt-image-1.5",
67+ "gpt-image-2",
68+ "gpt-image-2.5-flare",
69+ "gpt-image-2.5-sunburst"
70+ ],
71+ "tts": [
72+ "gpt-4o-mini-tts",
73+ "tts-1",
74+ "tts-1-hd"
75+ ],
76+ "stt": [
77+ "gpt-4o-mini-transcribe",
78+ "gpt-4o-transcribe",
79+ "gpt-4o-transcribe-diarize",
80+ "gpt-transcribe",
81+ "whisper-1"
82+ ],
83+ "embedding": [
84+ "text-embedding-3-large",
85+ "text-embedding-3-small",
86+ "text-embedding-ada-002"
87+ ]
88+ }
89+}
\ No newline at end of file
added benchmarks/routing-recommendations.md +38 −0
@@ -0,0 +1,38 @@
1+# Routing recommendations
2+
3+Derived mechanically from `capability-matrix.json` (2026-11-01T07:22:05.282Z). The in-app router uses the same data at runtime; the owner can override any choice.
4+
5+## Modes
6+
7+- **Quality** — highest quality score; ties broken by higher list price (assumption: the vendor's higher tier is stronger on tasks harder than this suite), then latency; *-pro models excluded (latency): `claude-fable-5-1` (100%, 1321 ms, $10 / $50), `gpt-6-astra` (100%, 2190 ms, $10 / $50), `claude-fable-5` (100%, 2691 ms, $10 / $50)
8+- **Fast** — lowest median latency among models scoring ≥ 89 %: `gpt-4.1` (89%, 704 ms, $2 / $8), `claude-haiku-5-5` (100%, 883 ms, $0.1 / $0.5), `gpt-5.4-mini` (89%, 888 ms, $0.75 / $4.5)
9+- **Economy** — cheapest blended price among models scoring 100 %: `gpt-5-nano` (100%, 3034 ms, $0.05 / $0.4), `claude-haiku-5-5` (100%, 883 ms, $0.1 / $0.5), `gpt-6-luna` (100%, 2005 ms, $0.1 / $0.5)
10+- **Automatic** — classify the task (code / math / vision / long document / general / French), pick the first candidate of the matching task list below that is available, fall back to the Quality list.
11+
12+## By task
13+
14+- **code**: `gpt-5-nano`, `claude-haiku-5-5`, `gpt-6-luna`
15+- **math**: `gpt-5-nano`, `claude-haiku-5-5`, `gpt-6-luna`
16+- **reasoning**: `gpt-5-nano`, `claude-haiku-5-5`, `gpt-6-luna`
17+- **french**: `gpt-5-nano`, `claude-haiku-5-5`, `gpt-6-luna`
18+- **vision**: `gpt-5-nano`, `claude-haiku-5-5`, `gpt-6-luna`
19+- **tools**: `gpt-5-nano`, `claude-haiku-5-5`, `gpt-6-luna`
20+- **json**: `gpt-5-nano`, `claude-haiku-5-5`, `gpt-6-luna`
21+- **longctx**: `gpt-5-nano`, `claude-haiku-5-5`, `gpt-6-luna`
22+
23+## Specialized
24+
25+- Image generation: `chatgpt-image-latest`, `gpt-image-1-mini`, `gpt-image-1.5`, `gpt-image-2`, `gpt-image-2.5-flare`, `gpt-image-2.5-sunburst`
26+- Text-to-speech: `gpt-4o-mini-tts`, `tts-1`, `tts-1-hd`
27+- Speech-to-text: `gpt-4o-mini-transcribe`, `gpt-4o-transcribe`, `gpt-4o-transcribe-diarize`, `gpt-transcribe`, `whisper-1`
28+- Embeddings (memory & semantic search): `text-embedding-3-large`, `text-embedding-3-small`, `text-embedding-ada-002`
29+
30+## Defaults proposed for the app
31+
32+- Default chat model: `claude-fable-5-1`
33+- Fast mode: `gpt-4.1`
34+- Economy mode: `gpt-5-nano`
35+- Title generation / memory extraction / classification (cheap, fast): `gpt-5-nano`
36+- Embeddings: `text-embedding-3-small` (1536 dims, verified)
37+- Image generation: `gpt-image-1.5`
38+- STT: `gpt-4o-mini-transcribe` · TTS: `gpt-4o-mini-tts`
added benchmarks/vision-test.png +0 −0

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added db/migrations/001_init.sql +311 −0
@@ -0,0 +1,311 @@
1+-- Chat SPBoucher AI — initial schema (PostgreSQL 17 + pgvector)
2+CREATE EXTENSION IF NOT EXISTS vector;
3+CREATE EXTENSION IF NOT EXISTS pgcrypto;
4+
5+-- ---------------------------------------------------------------- owner & auth
6+CREATE TABLE IF NOT EXISTS owner (
7+ id smallint PRIMARY KEY DEFAULT 1 CHECK (id = 1),
8+ username text NOT NULL,
9+ password_hash text NOT NULL, -- argon2id
10+ totp_secret text, -- optional 2FA (encrypted at rest by app key)
11+ created_at timestamptz NOT NULL DEFAULT now(),
12+ updated_at timestamptz NOT NULL DEFAULT now()
13+);
14+
15+CREATE TABLE IF NOT EXISTS sessions (
16+ id text PRIMARY KEY, -- sha256(token)
17+ created_at timestamptz NOT NULL DEFAULT now(),
18+ expires_at timestamptz NOT NULL,
19+ last_seen timestamptz NOT NULL DEFAULT now(),
20+ user_agent text,
21+ ip text,
22+ revoked_at timestamptz
23+);
24+CREATE INDEX IF NOT EXISTS sessions_expires_idx ON sessions (expires_at);
25+
26+CREATE TABLE IF NOT EXISTS login_attempts (
27+ id bigserial PRIMARY KEY,
28+ ip text NOT NULL,
29+ at timestamptz NOT NULL DEFAULT now(),
30+ success boolean NOT NULL
31+);
32+CREATE INDEX IF NOT EXISTS login_attempts_ip_at_idx ON login_attempts (ip, at DESC);
33+
34+CREATE TABLE IF NOT EXISTS webauthn_credentials (
35+ id text PRIMARY KEY,
36+ public_key bytea NOT NULL,
37+ counter bigint NOT NULL DEFAULT 0,
38+ transports text[],
39+ label text,
40+ created_at timestamptz NOT NULL DEFAULT now()
41+);
42+
43+-- ---------------------------------------------------------------- settings (key/value)
44+CREATE TABLE IF NOT EXISTS settings (
45+ key text PRIMARY KEY,
46+ value jsonb NOT NULL,
47+ updated_at timestamptz NOT NULL DEFAULT now()
48+);
49+
50+-- ---------------------------------------------------------------- model registry
51+CREATE TABLE IF NOT EXISTS models (
52+ id text PRIMARY KEY,
53+ provider text NOT NULL CHECK (provider IN ('openai','anthropic','local')),
54+ display_name text NOT NULL,
55+ kind text NOT NULL DEFAULT 'chat', -- chat | chat-pro | search | image | tts | stt | embedding | moderation | realtime | video | legacy-completion | deep-research | audio-chat
56+ api text, -- responses | chat | messages
57+ status text NOT NULL DEFAULT 'untested', -- verified | unavailable | unsupported | untested
58+ available boolean NOT NULL DEFAULT false,
59+ tested boolean NOT NULL DEFAULT false,
60+ unavailable_reason text,
61+ capabilities jsonb NOT NULL DEFAULT '{}'::jsonb,
62+ context_window integer,
63+ max_output_tokens integer,
64+ pricing jsonb,
65+ benchmark jsonb,
66+ hidden boolean NOT NULL DEFAULT false,
67+ favorite boolean NOT NULL DEFAULT false,
68+ sort_order integer NOT NULL DEFAULT 0,
69+ last_verified_at timestamptz,
70+ first_seen_at timestamptz NOT NULL DEFAULT now(),
71+ updated_at timestamptz NOT NULL DEFAULT now()
72+);
73+
74+-- ---------------------------------------------------------------- projects
75+CREATE TABLE IF NOT EXISTS projects (
76+ id text PRIMARY KEY,
77+ name text NOT NULL,
78+ description text,
79+ instructions text,
80+ default_model text,
81+ color text,
82+ icon text,
83+ tool_permissions jsonb NOT NULL DEFAULT '{}'::jsonb,
84+ notes text,
85+ sort_order integer NOT NULL DEFAULT 0,
86+ archived_at timestamptz,
87+ created_at timestamptz NOT NULL DEFAULT now(),
88+ updated_at timestamptz NOT NULL DEFAULT now()
89+);
90+
91+-- ---------------------------------------------------------------- conversations & messages
92+CREATE TABLE IF NOT EXISTS conversations (
93+ id text PRIMARY KEY,
94+ project_id text REFERENCES projects(id) ON DELETE SET NULL,
95+ title text NOT NULL DEFAULT 'Nouvelle conversation',
96+ model_id text,
97+ settings jsonb NOT NULL DEFAULT '{}'::jsonb, -- effort, routing mode, tools enabled, system override…
98+ pinned boolean NOT NULL DEFAULT false,
99+ archived_at timestamptz,
100+ parent_id text REFERENCES conversations(id) ON DELETE SET NULL, -- branch origin
101+ branch_message_id text,
102+ mode text NOT NULL DEFAULT 'chat', -- chat | compare | research
103+ message_count integer NOT NULL DEFAULT 0,
104+ total_cost_usd numeric(12,6) NOT NULL DEFAULT 0,
105+ last_message_at timestamptz,
106+ created_at timestamptz NOT NULL DEFAULT now(),
107+ updated_at timestamptz NOT NULL DEFAULT now(),
108+ tsv tsvector
109+);
110+CREATE INDEX IF NOT EXISTS conversations_project_idx ON conversations (project_id);
111+CREATE INDEX IF NOT EXISTS conversations_updated_idx ON conversations (updated_at DESC);
112+CREATE INDEX IF NOT EXISTS conversations_tsv_idx ON conversations USING gin (tsv);
113+
114+CREATE TABLE IF NOT EXISTS messages (
115+ id text PRIMARY KEY,
116+ conversation_id text NOT NULL REFERENCES conversations(id) ON DELETE CASCADE,
117+ parent_id text REFERENCES messages(id) ON DELETE SET NULL, -- message tree (branching / regenerate)
118+ role text NOT NULL CHECK (role IN ('user','assistant','system','tool')),
119+ parts jsonb NOT NULL DEFAULT '[]'::jsonb, -- [{type:text|image|file|tool_call|tool_result|reasoning|artifact|citation,...}]
120+ text text NOT NULL DEFAULT '', -- plain text (search + context)
121+ model_id text,
122+ provider text,
123+ settings jsonb, -- effort/routing used for THIS response
124+ routing jsonb, -- {mode, requested, selected, reason}
125+ usage jsonb, -- {input, output, cached, reasoning}
126+ cost_usd numeric(12,6),
127+ latency_ms integer,
128+ ttft_ms integer,
129+ status text NOT NULL DEFAULT 'complete', -- streaming | complete | error | cancelled
130+ error text,
131+ active boolean NOT NULL DEFAULT true, -- false for superseded siblings (regenerate/edit)
132+ created_at timestamptz NOT NULL DEFAULT now(),
133+ tsv tsvector GENERATED ALWAYS AS (to_tsvector('simple', coalesce(text,''))) STORED
134+);
135+CREATE INDEX IF NOT EXISTS messages_conv_idx ON messages (conversation_id, created_at);
136+CREATE INDEX IF NOT EXISTS messages_parent_idx ON messages (parent_id);
137+CREATE INDEX IF NOT EXISTS messages_tsv_idx ON messages USING gin (tsv);
138+
139+CREATE TABLE IF NOT EXISTS message_embeddings (
140+ message_id text PRIMARY KEY REFERENCES messages(id) ON DELETE CASCADE,
141+ embedding vector(1536) NOT NULL,
142+ model text NOT NULL DEFAULT 'text-embedding-3-small',
143+ created_at timestamptz NOT NULL DEFAULT now()
144+);
145+CREATE INDEX IF NOT EXISTS message_embeddings_idx ON message_embeddings USING hnsw (embedding vector_cosine_ops);
146+
147+-- ---------------------------------------------------------------- attachments & document chunks
148+CREATE TABLE IF NOT EXISTS attachments (
149+ id text PRIMARY KEY,
150+ conversation_id text REFERENCES conversations(id) ON DELETE SET NULL,
151+ project_id text REFERENCES projects(id) ON DELETE SET NULL,
152+ message_id text REFERENCES messages(id) ON DELETE SET NULL,
153+ kind text NOT NULL DEFAULT 'upload', -- upload | generated-image | audio | export
154+ filename text NOT NULL,
155+ mime text NOT NULL,
156+ size_bytes bigint NOT NULL,
157+ path text NOT NULL, -- relative to DATA_DIR/uploads
158+ sha256 text,
159+ extracted_text text,
160+ page_count integer,
161+ meta jsonb NOT NULL DEFAULT '{}'::jsonb,
162+ created_at timestamptz NOT NULL DEFAULT now()
163+);
164+CREATE INDEX IF NOT EXISTS attachments_conv_idx ON attachments (conversation_id);
165+CREATE INDEX IF NOT EXISTS attachments_project_idx ON attachments (project_id);
166+
167+CREATE TABLE IF NOT EXISTS document_chunks (
168+ id bigserial PRIMARY KEY,
169+ attachment_id text NOT NULL REFERENCES attachments(id) ON DELETE CASCADE,
170+ idx integer NOT NULL,
171+ page integer,
172+ content text NOT NULL,
173+ embedding vector(1536),
174+ tsv tsvector GENERATED ALWAYS AS (to_tsvector('simple', content)) STORED
175+);
176+CREATE INDEX IF NOT EXISTS document_chunks_att_idx ON document_chunks (attachment_id, idx);
177+CREATE INDEX IF NOT EXISTS document_chunks_tsv_idx ON document_chunks USING gin (tsv);
178+CREATE INDEX IF NOT EXISTS document_chunks_emb_idx ON document_chunks USING hnsw (embedding vector_cosine_ops);
179+
180+-- ---------------------------------------------------------------- memory
181+CREATE TABLE IF NOT EXISTS memories (
182+ id text PRIMARY KEY,
183+ category text NOT NULL DEFAULT 'context', -- preference | writing | research | project | infrastructure | objective | concept | context
184+ content text NOT NULL,
185+ source text NOT NULL DEFAULT 'manual', -- manual | extracted | imported
186+ source_conversation_id text REFERENCES conversations(id) ON DELETE SET NULL,
187+ source_message_id text REFERENCES messages(id) ON DELETE SET NULL,
188+ project_id text REFERENCES projects(id) ON DELETE CASCADE, -- null = global
189+ status text NOT NULL DEFAULT 'active', -- candidate | active | disabled
190+ confidence real,
191+ embedding vector(1536),
192+ use_count integer NOT NULL DEFAULT 0,
193+ last_used_at timestamptz,
194+ created_at timestamptz NOT NULL DEFAULT now(),
195+ updated_at timestamptz NOT NULL DEFAULT now(),
196+ tsv tsvector GENERATED ALWAYS AS (to_tsvector('simple', content)) STORED
197+);
198+CREATE INDEX IF NOT EXISTS memories_status_idx ON memories (status);
199+CREATE INDEX IF NOT EXISTS memories_emb_idx ON memories USING hnsw (embedding vector_cosine_ops);
200+CREATE INDEX IF NOT EXISTS memories_tsv_idx ON memories USING gin (tsv);
201+
202+-- ---------------------------------------------------------------- artifacts
203+CREATE TABLE IF NOT EXISTS artifacts (
204+ id text PRIMARY KEY,
205+ conversation_id text REFERENCES conversations(id) ON DELETE CASCADE,
206+ message_id text REFERENCES messages(id) ON DELETE SET NULL,
207+ project_id text REFERENCES projects(id) ON DELETE SET NULL,
208+ root_id text, -- first version id
209+ version integer NOT NULL DEFAULT 1,
210+ type text NOT NULL, -- html | react | typescript | python | markdown | table | chart | svg | mermaid | math | code
211+ language text,
212+ title text NOT NULL,
213+ content text NOT NULL,
214+ saved boolean NOT NULL DEFAULT false,
215+ created_at timestamptz NOT NULL DEFAULT now()
216+);
217+CREATE INDEX IF NOT EXISTS artifacts_conv_idx ON artifacts (conversation_id);
218+CREATE INDEX IF NOT EXISTS artifacts_root_idx ON artifacts (root_id, version);
219+
220+-- ---------------------------------------------------------------- usage & spending
221+CREATE TABLE IF NOT EXISTS usage_events (
222+ id bigserial PRIMARY KEY,
223+ at timestamptz NOT NULL DEFAULT now(),
224+ provider text NOT NULL,
225+ model_id text NOT NULL,
226+ kind text NOT NULL DEFAULT 'chat', -- chat | compare | research | title | memory | embedding | image | tts | stt | judge | tool
227+ conversation_id text,
228+ project_id text,
229+ message_id text,
230+ input_tokens integer NOT NULL DEFAULT 0,
231+ output_tokens integer NOT NULL DEFAULT 0,
232+ cached_tokens integer NOT NULL DEFAULT 0,
233+ reasoning_tokens integer NOT NULL DEFAULT 0,
234+ cost_estimated numeric(12,6),
235+ cost_confirmed numeric(12,6), -- filled when a provider billing export is imported
236+ latency_ms integer,
237+ ttft_ms integer,
238+ status text NOT NULL DEFAULT 'ok', -- ok | error | cancelled
239+ error text,
240+ meta jsonb
241+);
242+CREATE INDEX IF NOT EXISTS usage_at_idx ON usage_events (at DESC);
243+CREATE INDEX IF NOT EXISTS usage_model_idx ON usage_events (model_id, at DESC);
244+CREATE INDEX IF NOT EXISTS usage_project_idx ON usage_events (project_id, at DESC);
245+
246+-- ---------------------------------------------------------------- comparisons & research
247+CREATE TABLE IF NOT EXISTS comparisons (
248+ id text PRIMARY KEY,
249+ conversation_id text REFERENCES conversations(id) ON DELETE SET NULL,
250+ project_id text REFERENCES projects(id) ON DELETE SET NULL,
251+ prompt text NOT NULL,
252+ model_ids text[] NOT NULL,
253+ results jsonb NOT NULL DEFAULT '[]'::jsonb, -- [{modelId, text, usage, cost, latency, ttft, error}]
254+ judge jsonb, -- {modelId, verdict, text}
255+ preferred_model text,
256+ created_at timestamptz NOT NULL DEFAULT now()
257+);
258+
259+CREATE TABLE IF NOT EXISTS research_runs (
260+ id text PRIMARY KEY,
261+ conversation_id text REFERENCES conversations(id) ON DELETE SET NULL,
262+ project_id text REFERENCES projects(id) ON DELETE SET NULL,
263+ question text NOT NULL,
264+ model_id text NOT NULL,
265+ status text NOT NULL DEFAULT 'planning', -- planning | searching | reading | synthesizing | complete | error | cancelled
266+ plan jsonb,
267+ steps jsonb NOT NULL DEFAULT '[]'::jsonb,
268+ sources jsonb NOT NULL DEFAULT '[]'::jsonb,
269+ report_md text,
270+ cost_usd numeric(12,6) NOT NULL DEFAULT 0,
271+ error text,
272+ created_at timestamptz NOT NULL DEFAULT now(),
273+ completed_at timestamptz
274+);
275+
276+-- ---------------------------------------------------------------- tool executions (audit log)
277+CREATE TABLE IF NOT EXISTS tool_executions (
278+ id text PRIMARY KEY,
279+ conversation_id text,
280+ message_id text,
281+ tool text NOT NULL,
282+ input jsonb,
283+ output jsonb,
284+ status text NOT NULL, -- pending_approval | approved | denied | ok | error
285+ duration_ms integer,
286+ created_at timestamptz NOT NULL DEFAULT now()
287+);
288+CREATE INDEX IF NOT EXISTS tool_exec_conv_idx ON tool_executions (conversation_id, created_at DESC);
289+
290+-- ---------------------------------------------------------------- triggers
291+CREATE OR REPLACE FUNCTION conversations_tsv_update() RETURNS trigger AS $$
292+BEGIN NEW.tsv := to_tsvector('simple', coalesce(NEW.title,'')); RETURN NEW; END $$ LANGUAGE plpgsql;
293+DROP TRIGGER IF EXISTS conversations_tsv_trg ON conversations;
294+CREATE TRIGGER conversations_tsv_trg BEFORE INSERT OR UPDATE OF title ON conversations FOR EACH ROW EXECUTE FUNCTION conversations_tsv_update();
295+
296+CREATE OR REPLACE FUNCTION touch_updated_at() RETURNS trigger AS $$
297+BEGIN NEW.updated_at := now(); RETURN NEW; END $$ LANGUAGE plpgsql;
298+DROP TRIGGER IF EXISTS conversations_touch ON conversations;
299+CREATE TRIGGER conversations_touch BEFORE UPDATE ON conversations FOR EACH ROW EXECUTE FUNCTION touch_updated_at();
300+DROP TRIGGER IF EXISTS projects_touch ON projects;
301+CREATE TRIGGER projects_touch BEFORE UPDATE ON projects FOR EACH ROW EXECUTE FUNCTION touch_updated_at();
302+DROP TRIGGER IF EXISTS memories_touch ON memories;
303+CREATE TRIGGER memories_touch BEFORE UPDATE ON memories FOR EACH ROW EXECUTE FUNCTION touch_updated_at();
304+
305+-- default settings
306+INSERT INTO settings (key, value) VALUES
307+ ('memory', '{"enabled": true, "autoExtract": true, "requireApproval": false}'),
308+ ('spending', '{"dailyLimitUsd": 10, "monthlyLimitUsd": 150, "alertAtPercent": 80}'),
309+ ('routing', '{"defaultMode": "manual"}'),
310+ ('appearance', '{"theme": "dark"}')
311+ON CONFLICT (key) DO NOTHING;
added deploy/mld-manifest.json +18 −0
@@ -0,0 +1,18 @@
1+{
2+ "name": "chat-spboucher-ai",
3+ "description": "Chat SPBoucher AI — interface privée multi-modèles (OpenAI + Anthropic), Next.js 16 + PostgreSQL 17/pgvector",
4+ "dir": "~/apps/chat-spboucher-ai",
5+ "port": 8500,
6+ "runtime": "node",
7+ "build": "pnpm install --frozen-lockfile && pnpm build && DATABASE_URL=$DATABASE_URL pnpm db:migrate && DATABASE_URL=$DATABASE_URL pnpm registry:refresh",
8+ "processes": [
9+ { "name": "chat-spboucher-ai", "script": "node_modules/.bin/next", "args": "start -p 8500", "cwd": "~/apps/chat-spboucher-ai", "env_file": ".env.production", "max_memory_restart": "2G" },
10+ { "name": "chat-spboucher-ai-registry", "script": "node_modules/.bin/tsx", "args": "scripts/registry-refresh.ts", "cwd": "~/apps/chat-spboucher-ai", "env_file": ".env.production", "cron_restart": "17 5 * * *", "autorestart": false }
11+ ],
12+ "health": { "path": "/api/health", "expect": 200 },
13+ "tunnel": { "domain": "chat.spboucher.ai" },
14+ "requires": { "node": ">=22", "pnpm": true, "postgresql@17": true, "ram_gb": 4, "disk_gb": 20 },
15+ "placement": { "prefer": ["M4M64c"], "pin": true, "reason": "Postgres 17 + pgvector installé, nœud sans autre app, 64 Go" },
16+ "secrets": ["OPENAI_API_KEY", "ANTHROPIC_API_KEY", "TAVILY_API_KEY", "SESSION_SECRET", "DATABASE_URL"],
17+ "backup": { "script": "scripts/backup.sh", "cron": "45 3 * * *" }
18+}
added docs/OPERATIONS.md +77 −0
@@ -0,0 +1,77 @@
1+# Exploitation — Chat SPBoucher AI
2+
3+## Emplacement
4+
5+| | |
6+|---|---|
7+| Nœud | **M4M64c** (Mac Studio M4 Max, 16 c / 64 Go), épinglé dans le manifeste |
8+| Dossier | `~/apps/chat-spboucher-ai` (clone git, `origin` = spbgit `chat-spboucher-ai.git`) |
9+| Port | 8500 (PM2 `chat-spboucher-ai`) |
10+| Base | PostgreSQL 17 Homebrew local, base `chat_spboucher`, rôle `chat_spb`, extension `vector` |
11+| Fichiers | `~/apps/chat-spboucher-ai/data/uploads/` (mode 600) |
12+| Domaine | `chat.spboucher.ai` → MacLustr Tunnel (BHS64 Caddy → wg1 M4M64c:8500) ; DNS GoDaddy `A → 51.161.112.61` |
13+| Secrets | `M1M32:~/dispatch/apps/chat-spboucher-ai.json` (mode 600) et `~/Desktop/Cluster/secrets/chat-spboucher-ai.env` sur le laptop |
14+| Santé | `GET /api/health` → `{ok:true, db:true, modelsAvailable:N}` |
15+
16+## Processus PM2 (déclarés dans le manifeste mld)
17+
18+| Processus | Rôle | Planification |
19+|---|---|---|
20+| `chat-spboucher-ai` | `next start -H 0.0.0.0 -p 8500` | permanent, `max_memory_restart 2G` |
21+| `chat-spboucher-ai-registry` | `tsx scripts/registry-refresh.ts` — relit les listings OpenAI/Anthropic, marque les modèles disparus, importe les benchmarks | `17 5 * * *` |
22+| `chat-spboucher-ai-backup` | `scripts/backup.sh` — dump Postgres + uploads, chiffré AES-256 (`~/.config/chat-spboucher-ai/backup.pass`), 14 jours dans `~/backups/chat-spboucher-ai` | `45 3 * * *` |
23+
24+## Déploiement initial (fait le 2026-11-01)
25+
26+```bash
27+# laptop
28+cd ~/Desktop/cluster-skill
29+./mld stage ~/Desktop/Cluster/projets/chat-spboucher-ai chat-spboucher-ai
30+./mld deploy chat-spboucher-ai --node M4M64c # post_sync : pnpm install, db:migrate, build, registry:refresh ; route tunnel posée
31+./mld adopt chat-spboucher-ai # le dossier du nœud devient un clone git (origin spbgit)
32+ssh M4M64c 'cd ~/apps/chat-spboucher-ai && set -a && . ./.env.production && set +a && pnpm setup:owner' # mot de passe du propriétaire (interactif)
33+```
34+
35+## Modifier l'app (remote-first)
36+
37+```bash
38+ssh M4M64c
39+cd ~/apps/chat-spboucher-ai
40+# éditer, puis :
41+pnpm build && pm2 restart chat-spboucher-ai
42+git add -A && git commit -m "…" && git push origin main
43+```
44+Le laptop ne garde qu'un miroir (`git pull`). Nouvelle migration : ajouter `db/migrations/00N_*.sql`, puis `set -a; . ./.env.production; set +a; pnpm db:migrate`.
45+
46+## Rollback
47+
48+```bash
49+ssh M4M64c 'cd ~/apps/chat-spboucher-ai && git log --oneline -5'
50+ssh M4M64c 'cd ~/apps/chat-spboucher-ai && git checkout <commit> -- . && pnpm install --frozen-lockfile && pnpm build && pm2 restart chat-spboucher-ai'
51+# base : scripts/restore.sh ~/backups/chat-spboucher-ai/csa-<date>.tar.enc --yes (arrête/relance PM2, remplace DB + uploads)
52+```
53+Testé le 2026-11-01 : `pm2 restart` + healthcheck < 5 s ; restauration sur la base locale de développement.
54+
55+## Journaux
56+
57+```bash
58+ssh M4M64c 'pm2 logs chat-spboucher-ai --lines 200' # requêtes, erreurs fournisseurs (JSON Next.js)
59+ssh M4M64c 'psql chat_spboucher -c "select at, kind, model_id, status, left(error,80) from usage_events order by at desc limit 30"'
60+ssh M4M64c 'psql chat_spboucher -c "select * from tool_executions order by created_at desc limit 20"'
61+```
62+
63+## Pannes courantes
64+
65+| Symptôme | Cause probable | Action |
66+|---|---|---|
67+| 502 sur chat.spboucher.ai | PM2 arrêté ou wg1 tombé | `mld heal` (automatique toutes les 5 min) ; `mld health chat-spboucher-ai` |
68+| `/api/health` → `db:false` | Postgres arrêté | `ssh M4M64c 'brew services start postgresql@17'` |
69+| 402 « Limite quotidienne atteinte » | garde-fou local de dépenses | Réglages → Dépenses |
70+| Modèle « indisponible » soudainement | retiré par le fournisseur (404 deprecated) | normal : le rafraîchissement nocturne le masque ; choisir un autre modèle |
71+| Réponse vide d'un modèle de raisonnement OpenAI | budget de sortie consommé par le raisonnement | augmenter « jetons max » ou baisser l'effort |
72+
73+## Sauvegarde / restauration
74+
75+- Sauvegarde chiffrée nocturne (`scripts/backup.sh`) ; la phrase de passe est générée au premier lancement dans `~/.config/chat-spboucher-ai/backup.pass` **et doit être copiée** dans `~/Desktop/Cluster/secrets/`.
76+- Restauration : `scripts/restore.sh <fichier> --yes`.
77+- Export utilisateur : conversation (Markdown/JSON), mémoire (JSON/Markdown), rapport de recherche (MD/DOCX/PDF via impression).
added eslint.config.mjs +23 −0
@@ -0,0 +1,23 @@
1+import { defineConfig, globalIgnores } from "eslint/config";
2+import nextVitals from "eslint-config-next/core-web-vitals";
3+import nextTs from "eslint-config-next/typescript";
4+
5+const eslintConfig = defineConfig([
6+ ...nextVitals,
7+ ...nextTs,
8+ globalIgnores([".next/**", "out/**", "build/**", "next-env.d.ts", "scripts/**", "public/sw.js", "e2e-shots/**"]),
9+ {
10+ rules: {
11+ // French UI copy is full of apostrophes; JSX text is already escaped by React.
12+ "react/no-unescaped-entities": "off",
13+ // Images come from our own authenticated API (dynamic, private) — next/image optimisation is not applicable.
14+ "@next/next/no-img-element": "off",
15+ "@typescript-eslint/no-explicit-any": "warn",
16+ // download links to our own API routes are plain <a href> on purpose (no client navigation)
17+ "@next/next/no-html-link-for-pages": "off",
18+ "react-hooks/set-state-in-effect": "warn",
19+ },
20+ },
21+]);
22+
23+export default eslintConfig;
added next-env.d.ts +7 −0
@@ -0,0 +1,7 @@
1+/// <reference types="next" />
2+/// <reference types="next/image-types/global" />
3+import "./.next/types/routes.d.ts";
4+import "./.next/types/root-params.d.ts";
5+
6+// NOTE: This file should not be edited
7+// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
added next.config.ts +17 −0
@@ -0,0 +1,17 @@
1+import type { NextConfig } from "next";
2+
3+const nextConfig: NextConfig = {
4+ reactStrictMode: true,
5+ poweredByHeader: false,
6+ output: "standalone",
7+ serverExternalPackages: ["pdf-parse", "mammoth", "xlsx", "@node-rs/argon2", "postgres"],
8+ experimental: { serverActions: { bodySizeLimit: "60mb" } },
9+ async headers() {
10+ return [{ source: "/(.*)", headers: [
11+ { key: "X-Frame-Options", value: "DENY" }, { key: "X-Content-Type-Options", value: "nosniff" }, { key: "Referrer-Policy", value: "strict-origin-when-cross-origin" },
12+ { key: "Permissions-Policy", value: "camera=(), geolocation=(), microphone=(self)" },
13+ ] }];
14+ },
15+};
16+
17+export default nextConfig;
added package.json +73 −0
@@ -0,0 +1,73 @@
1+{
2+ "name": "chat-spboucher-ai",
3+ "version": "0.1.0",
4+ "private": true,
5+ "type": "module",
6+ "scripts": {
7+ "dev": "next dev -p 8500",
8+ "build": "next build",
9+ "start": "next start -p 8500",
10+ "lint": "eslint",
11+ "db:migrate": "tsx scripts/db/migrate.ts",
12+ "setup:owner": "tsx scripts/setup-owner.ts",
13+ "bench": "tsx scripts/benchmarks/run.ts",
14+ "bench:discover": "tsx scripts/benchmarks/discover.ts",
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4134+ '@tailwindcss/oxide-wasm32-wasi@4.3.3':
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4136+
4137+ '@tailwindcss/oxide-win32-arm64-msvc@4.3.3':
4138+ optional: true
4139+
4140+ '@tailwindcss/oxide-win32-x64-msvc@4.3.3':
4141+ optional: true
4142+
4143+ '@tailwindcss/oxide@4.3.3':
4144+ optionalDependencies:
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4146+ '@tailwindcss/oxide-darwin-arm64': 4.3.3
4147+ '@tailwindcss/oxide-darwin-x64': 4.3.3
4148+ '@tailwindcss/oxide-freebsd-x64': 4.3.3
4149+ '@tailwindcss/oxide-linux-arm-gnueabihf': 4.3.3
4150+ '@tailwindcss/oxide-linux-arm64-gnu': 4.3.3
4151+ '@tailwindcss/oxide-linux-arm64-musl': 4.3.3
4152+ '@tailwindcss/oxide-linux-x64-gnu': 4.3.3
4153+ '@tailwindcss/oxide-linux-x64-musl': 4.3.3
4154+ '@tailwindcss/oxide-wasm32-wasi': 4.3.3
4155+ '@tailwindcss/oxide-win32-arm64-msvc': 4.3.3
4156+ '@tailwindcss/oxide-win32-x64-msvc': 4.3.3
4157+
4158+ '@tailwindcss/postcss@4.3.3':
4159+ dependencies:
4160+ '@alloc/quick-lru': 5.3.0
4161+ '@tailwindcss/node': 4.3.3
4162+ '@tailwindcss/oxide': 4.3.3
4163+ postcss: 8.5.23
4164+ tailwindcss: 4.3.3
4165+
4166+ '@tybys/wasm-util@0.10.4':
4167+ dependencies:
4168+ tslib: 2.9.1
4169+ optional: true
4170+
4171+ '@types/d3-array@3.2.2': {}
4172+
4173+ '@types/d3-axis@3.0.6':
4174+ dependencies:
4175+ '@types/d3-selection': 3.0.12
4176+
4177+ '@types/d3-brush@3.0.6':
4178+ dependencies:
4179+ '@types/d3-selection': 3.0.12
4180+
4181+ '@types/d3-chord@3.0.6': {}
4182+
4183+ '@types/d3-color@3.1.3': {}
4184+
4185+ '@types/d3-contour@3.0.6':
4186+ dependencies:
4187+ '@types/d3-array': 3.2.2
4188+ '@types/geojson': 7946.0.16
4189+
4190+ '@types/d3-delaunay@6.0.4': {}
4191+
4192+ '@types/d3-dispatch@3.0.7': {}
4193+
4194+ '@types/d3-drag@3.0.7':
4195+ dependencies:
4196+ '@types/d3-selection': 3.0.12
4197+
4198+ '@types/d3-dsv@3.0.7': {}
4199+
4200+ '@types/d3-ease@3.0.2': {}
4201+
4202+ '@types/d3-fetch@3.0.7':
4203+ dependencies:
4204+ '@types/d3-dsv': 3.0.7
4205+
4206+ '@types/d3-force@3.0.10': {}
4207+
4208+ '@types/d3-format@3.0.4': {}
4209+
4210+ '@types/d3-geo@3.1.1':
4211+ dependencies:
4212+ '@types/geojson': 7946.0.16
4213+
4214+ '@types/d3-hierarchy@3.1.7': {}
4215+
4216+ '@types/d3-interpolate@3.0.4':
4217+ dependencies:
4218+ '@types/d3-color': 3.1.3
4219+
4220+ '@types/d3-path@3.1.1': {}
4221+
4222+ '@types/d3-polygon@3.0.2': {}
4223+
4224+ '@types/d3-quadtree@3.0.6': {}
4225+
4226+ '@types/d3-random@3.0.4': {}
4227+
4228+ '@types/d3-scale-chromatic@3.1.0': {}
4229+
4230+ '@types/d3-scale@4.0.9':
4231+ dependencies:
4232+ '@types/d3-time': 3.0.4
4233+
4234+ '@types/d3-selection@3.0.12': {}
4235+
4236+ '@types/d3-shape@3.2.0':
4237+ dependencies:
4238+ '@types/d3-path': 3.1.1
4239+
4240+ '@types/d3-time-format@4.0.3': {}
4241+
4242+ '@types/d3-time@3.0.4': {}
4243+
4244+ '@types/d3-timer@3.0.2': {}
4245+
4246+ '@types/d3-transition@3.0.9':
4247+ dependencies:
4248+ '@types/d3-selection': 3.0.12
4249+
4250+ '@types/d3-zoom@3.0.9':
4251+ dependencies:
4252+ '@types/d3-interpolate': 3.0.4
4253+ '@types/d3-selection': 3.0.12
4254+
4255+ '@types/d3@7.4.3':
4256+ dependencies:
4257+ '@types/d3-array': 3.2.2
4258+ '@types/d3-axis': 3.0.6
4259+ '@types/d3-brush': 3.0.6
4260+ '@types/d3-chord': 3.0.6
4261+ '@types/d3-color': 3.1.3
4262+ '@types/d3-contour': 3.0.6
4263+ '@types/d3-delaunay': 6.0.4
4264+ '@types/d3-dispatch': 3.0.7
4265+ '@types/d3-drag': 3.0.7
4266+ '@types/d3-dsv': 3.0.7
4267+ '@types/d3-ease': 3.0.2
4268+ '@types/d3-fetch': 3.0.7
4269+ '@types/d3-force': 3.0.10
4270+ '@types/d3-format': 3.0.4
4271+ '@types/d3-geo': 3.1.1
4272+ '@types/d3-hierarchy': 3.1.7
4273+ '@types/d3-interpolate': 3.0.4
4274+ '@types/d3-path': 3.1.1
4275+ '@types/d3-polygon': 3.0.2
4276+ '@types/d3-quadtree': 3.0.6
4277+ '@types/d3-random': 3.0.4
4278+ '@types/d3-scale': 4.0.9
4279+ '@types/d3-scale-chromatic': 3.1.0
4280+ '@types/d3-selection': 3.0.12
4281+ '@types/d3-shape': 3.2.0
4282+ '@types/d3-time': 3.0.4
4283+ '@types/d3-time-format': 4.0.3
4284+ '@types/d3-timer': 3.0.2
4285+ '@types/d3-transition': 3.0.9
4286+ '@types/d3-zoom': 3.0.9
4287+
4288+ '@types/debug@4.1.13':
4289+ dependencies:
4290+ '@types/ms': 2.1.0
4291+
4292+ '@types/esrecurse@4.3.1': {}
4293+
4294+ '@types/estree-jsx@1.0.5':
4295+ dependencies:
4296+ '@types/estree': 1.0.10
4297+
4298+ '@types/estree@1.0.10': {}
4299+
4300+ '@types/geojson@7946.0.16': {}
4301+
4302+ '@types/hast@3.0.5':
4303+ dependencies:
4304+ '@types/unist': 3.0.3
4305+
4306+ '@types/json-schema@7.0.15': {}
4307+
4308+ '@types/json5@0.0.29': {}
4309+
4310+ '@types/katex@0.16.8': {}
4311+
4312+ '@types/mdast@4.0.4':
4313+ dependencies:
4314+ '@types/unist': 3.0.3
4315+
4316+ '@types/ms@2.1.0': {}
4317+
4318+ '@types/node@26.6.6':
4319+ dependencies:
4320+ undici-types: 8.9.0
4321+
4322+ '@types/pdf-parse@1.1.5':
4323+ dependencies:
4324+ '@types/node': 26.6.6
4325+
4326+ '@types/pngjs@6.0.5':
4327+ dependencies:
4328+ '@types/node': 26.6.6
4329+
4330+ '@types/react-dom@19.3.0(@types/react@19.3.0)':
4331+ dependencies:
4332+ '@types/react': 19.3.0
4333+
4334+ '@types/react@19.3.0':
4335+ dependencies:
4336+ csstype: 3.2.3
4337+
4338+ '@types/trusted-types@2.0.7':
4339+ optional: true
4340+
4341+ '@types/unist@2.0.11': {}
4342+
4343+ '@types/unist@3.0.3': {}
4344+
4345+ '@types/use-sync-external-store@0.0.6': {}
4346+
4347+ '@typescript-eslint/eslint-plugin@8.72.1(@typescript-eslint/parser@8.72.1(eslint@10.14.0(jiti@2.7.0))(typescript@5.9.3))(eslint@10.14.0(jiti@2.7.0))(typescript@5.9.3)':
4348+ dependencies:
4349+ '@eslint-community/regexpp': 4.12.2
4350+ '@typescript-eslint/parser': 8.72.1(eslint@10.14.0(jiti@2.7.0))(typescript@5.9.3)
4351+ '@typescript-eslint/scope-manager': 8.72.1
4352+ '@typescript-eslint/type-utils': 8.72.1(eslint@10.14.0(jiti@2.7.0))(typescript@5.9.3)
4353+ '@typescript-eslint/utils': 8.72.1(eslint@10.14.0(jiti@2.7.0))(typescript@5.9.3)
4354+ '@typescript-eslint/visitor-keys': 8.72.1
4355+ eslint: 10.14.0(jiti@2.7.0)
4356+ ignore: 7.0.14
4357+ natural-compare: 1.4.0
4358+ ts-api-utils: 2.5.0(typescript@5.9.3)
4359+ typescript: 5.9.3
4360+ transitivePeerDependencies:
4361+ - supports-color
4362+
4363+ '@typescript-eslint/parser@8.72.1(eslint@10.14.0(jiti@2.7.0))(typescript@5.9.3)':
4364+ dependencies:
4365+ '@typescript-eslint/scope-manager': 8.72.1
4366+ '@typescript-eslint/types': 8.72.1
4367+ '@typescript-eslint/typescript-estree': 8.72.1(typescript@5.9.3)
4368+ '@typescript-eslint/visitor-keys': 8.72.1
4369+ debug: 4.4.3
4370+ eslint: 10.14.0(jiti@2.7.0)
4371+ typescript: 5.9.3
4372+ transitivePeerDependencies:
4373+ - supports-color
4374+
4375+ '@typescript-eslint/project-service@8.72.1(typescript@5.9.3)':
4376+ dependencies:
4377+ '@typescript-eslint/tsconfig-utils': 8.72.1(typescript@5.9.3)
4378+ '@typescript-eslint/types': 8.72.1
4379+ debug: 4.4.3
4380+ typescript: 5.9.3
4381+ transitivePeerDependencies:
4382+ - supports-color
4383+
4384+ '@typescript-eslint/scope-manager@8.72.1':
4385+ dependencies:
4386+ '@typescript-eslint/types': 8.72.1
4387+ '@typescript-eslint/visitor-keys': 8.72.1
4388+
4389+ '@typescript-eslint/tsconfig-utils@8.72.1(typescript@5.9.3)':
4390+ dependencies:
4391+ typescript: 5.9.3
4392+
4393+ '@typescript-eslint/type-utils@8.72.1(eslint@10.14.0(jiti@2.7.0))(typescript@5.9.3)':
4394+ dependencies:
4395+ '@typescript-eslint/types': 8.72.1

Diff truncated — file too large.

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