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1/**2 * llmindex.io — agentic-under-context-load template: tool use with a buried-facts ledger3 * Author: Simon-Pierre Boucher4 * Contact: contact@spboucher.ai5 * License: Proprietary — © Simon-Pierre Boucher, all rights reserved6 *7 * Measures agentic performance under CONTEXT LENGTH LOAD: the model must scan8 * a large generated ledger (hundreds of near-miss decoy records), select the9 * few records matching a compound policy, derive tool arguments from them, and10 * emit the exact call sequence. Record count is the load knob; decoys are11 * semantically adjacent (same customer/other region, same region/other status)12 * so skimming fails. Ground truth from a deterministic simulator.13 */14import { BLOCK_ANSWER_FORMAT_INSTRUCTIONS, canonicalJson } from '../answer';15import type { Rng } from '../rng';16import type { ItemTemplate } from '../types';1718const CUSTOMERS = ['acme', 'birch', 'cobalt', 'dorian', 'ember', 'fulton', 'gale', 'harbor', 'ionic', 'juno'] as const;19const REGIONS = ['east', 'west', 'north', 'south'] as const;20const ITEMS = ['valve', 'rotor', 'panel', 'cable', 'sensor', 'frame', 'pump', 'gasket'] as const;21const STATUSES = ['pending', 'paid', 'shipped', 'held'] as const;2223interface Order {24 id: number;25 customer: string;26 region: string;27 item: string;28 qty: number;29 status: string;30}3132export const agenticContextLoad: ItemTemplate = {33 id: 'agentic.tools.context-load-v1',34 domain: 'agentic',35 description:36 'Apply a compound order-processing policy over a 120-300 row generated ledger dense with near-miss decoys; call sequence must be exact — context-length load is the difficulty knob.',37 paramSpace: 10 * 4 * 4 * 8 ** 3 * 10 ** 6,38 render(rng: Rng, perturbSeed: string) {39 const nRecords = rng.int(120, 300);40 const targetCustomer = rng.pick(CUSTOMERS);41 const targetRegion = rng.pick(REGIONS);42 const targetStatus = 'pending';43 const qtyThreshold = rng.int(40, 70);4445 // Generate the ledger with guaranteed near-miss density: for each true46 // match, several decoys differing in exactly one predicate.47 const orders: Order[] = [];48 let nextId = 1000 + rng.int(0, 500);49 const addOrder = (o: Omit<Order, 'id'>): void => {50 orders.push({ id: nextId, ...o });51 nextId += rng.int(1, 7);52 };5354 const nMatches = rng.int(3, 5);55 for (let i = 0; i < nMatches; i++) {56 addOrder({57 customer: targetCustomer,58 region: targetRegion,59 item: rng.pick(ITEMS),60 qty: rng.int(10, 99),61 status: targetStatus,62 });63 // adjacent decoys64 addOrder({65 customer: targetCustomer,66 region: rng.pick(REGIONS.filter((r) => r !== targetRegion)),67 item: rng.pick(ITEMS),68 qty: rng.int(10, 99),69 status: targetStatus,70 });71 addOrder({72 customer: targetCustomer,73 region: targetRegion,74 item: rng.pick(ITEMS),75 qty: rng.int(10, 99),76 status: rng.pick(STATUSES.filter((s) => s !== targetStatus)),77 });78 }79 while (orders.length < nRecords) {80 addOrder({81 customer: rng.pick(CUSTOMERS),82 region: rng.pick(REGIONS),83 item: rng.pick(ITEMS),84 qty: rng.int(10, 99),85 status: rng.pick(STATUSES),86 });87 }88 const ledger = rng.shuffle(orders);8990 // Simulator: matches in ascending order id; branch on qty threshold.91 const matches = ledger92 .filter((o) => o.customer === targetCustomer && o.region === targetRegion && o.status === targetStatus)93 .sort((a, b) => a.id - b.id);94 const expected = matches.map((o) =>95 o.qty > qtyThreshold96 ? { tool: 'restock', args: { item: o.item, qty: o.qty } }97 : { tool: 'cancel_order', args: { order_id: o.id } },98 );99100 const tools = [101 '- restock(item: string, qty: int) — reorders stock for a large pending order',102 '- cancel_order(order_id: int) — cancels a small pending order',103 // distractors104 '- ship_order(order_id: int) — ships a paid order (out of scope here)',105 '- refund(order_id: int, amount: int) — refunds a customer (out of scope here)',106 '- notify_customer(customer: string, message: string) — sends a notification (not required by this policy)',107 ].join('\n');108109 const ledgerLines = ledger110 .map((o) => `${o.id}|${o.customer}|${o.region}|${o.item}|${o.qty}|${o.status}`)111 .join('\n');112113 const prompt = [114 'You are an order-operations agent working strictly through tool calls.',115 '',116 'TOOL CATALOG:',117 tools,118 '',119 `ORDER LEDGER (${ledger.length} records, format: id|customer|region|item|qty|status):`,120 '```',121 ledgerLines,122 '```',123 '',124 'POLICY (apply exactly):',125 `- Consider ONLY orders where customer = "${targetCustomer}" AND region = "${targetRegion}" AND status = "${targetStatus}".`,126 `- Process those orders in ASCENDING order id.`,127 `- For each: if qty > ${qtyThreshold}, call restock(item, qty) with that order's item and qty; otherwise call cancel_order(order_id).`,128 '- Call nothing else. Every other record is irrelevant no matter how similar it looks.',129 '',130 'Output the full ordered sequence of tool calls as a JSON array of {"tool": string, "args": object}.',131 '',132 BLOCK_ANSWER_FORMAT_INSTRUCTIONS,133 ].join('\n');134135 return {136 templateId: this.id,137 domain: this.domain,138 prompt,139 answerKey: canonicalJson(expected),140 grading: 'json' as const,141 perturbSeed,142 };143 },144};145