Unblock complex scenarios: JSON tolerance + optional question + mistral exec
parseAction now strips stray `)` before `}` and trailing commas —
qwen2.5 emits those regularly on tool_call outputs; soft-fix beats
retry-loops. hybrid_search no longer hard-requires `question`; defaults
to "qualified available workers" when the model drops it (mistral's
most common failure mode on complex events).
Kept original TOOL_CATALOG shape (args examples only, not full
action envelopes). The verbose few-shot version from the prior
iteration confused mistral into wrapping propose_done as tool_call.
Scenario V7 result: expansion (5 Forklift Ops) and emergency
(4 Loaders) — previously-failing complex events — now seal reliably.
Pool sizes: 687 and 380 from 500K corpus. Patterns endpoint produces
real operator-actionable signals:
expansion: "recurring certifications: Forklift (40%), OSHA-10 (40%)
· recurring skills: mill (40%) · archetype mostly: leader
· reliability median 0.83"
Baseline + recurring are now flaky (inverted trade-off, pure
model-reliability variance).
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@ -121,8 +121,8 @@ Available tools (each takes a JSON "args" object):
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→ Canonical production tool for fill tasks. Always use this FIRST.
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→ Example args:
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{"index_name":"workers_500k_v1",
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"sql_filter":"LOWER(role) LIKE '%weld%' AND city = 'Toledo' AND state = 'OH' AND availability > 0.5",
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"question":"reliable welder with OSHA certs",
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"sql_filter":"role = 'Forklift Operator' AND city = 'Toledo' AND state = 'OH' AND CAST(availability AS DOUBLE) > 0.5",
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"question":"reliable forklift operator Toledo",
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"k":10}
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- sql(query: string)
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@ -133,17 +133,19 @@ Available tools (each takes a JSON "args" object):
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responsiveness, engagement, communications, compliance, availability,
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resume_text.
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→ Example args:
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{"query":"SELECT worker_id, name, role, city, state, availability FROM workers_500k WHERE worker_id = 'W123456'"}
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{"query":"SELECT worker_id, name, role, city, state FROM workers_500k WHERE worker_id = 40123"}
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Rules:
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- hybrid_search returns sources[] each with {doc_id, chunk_text, score, sql_verified}.
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- hybrid_search returns sources[] each with {doc_id, chunk_text, score,
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sql_verified, playbook_boost, playbook_citations}.
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- **ID mapping:** vector doc_ids look like "W500K-7995" (prefix + number).
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The SQL worker_id is an INTEGER. To go from doc_id to SQL, strip the
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"W500K-" prefix and cast:
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SELECT ... FROM workers_500k WHERE worker_id = CAST(SUBSTR('W500K-7995', 7) AS BIGINT)
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or more simply: WHERE worker_id = 7995.
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- Names are NOT unique. Always identify by worker_id, never by name alone.
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- Return EXACTLY ONE JSON object per turn. No prose outside the JSON.
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The SQL worker_id is an INTEGER. Use WHERE worker_id = 7995 directly.
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- Names are NOT unique. Always identify by worker_id.
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- availability and reliability are stored as text; ALWAYS cast as
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DOUBLE in filters: CAST(availability AS DOUBLE) > 0.5.
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- Narrative words from the guidance ("shift", "recurring", "expansion",
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"emergency") are NOT columns. Only use columns listed above.
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- Return EXACTLY ONE JSON object per turn. No markdown fences, no prose.
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`;
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// Smart per-kind summary so agents see the substance of each prior turn
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@ -321,7 +323,12 @@ export function parseAction(raw: string, role: Role): Action {
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if (start < 0 || end <= start) {
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throw new Error(`no JSON object in ${role} response: ${raw.slice(0, 300)}`);
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}
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const json = s.slice(start, end + 1);
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let json = s.slice(start, end + 1);
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// Soft-tolerate common model mistakes: stray `)` before closing brace
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// (qwen2.5 does this on tool_call), trailing commas, etc. Fix the
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// cheapest ones that are unambiguous.
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json = json.replace(/\)\s*\}/g, "}"); // "...)}" → "...}"
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json = json.replace(/,(\s*[}\]])/g, "$1"); // trailing comma before } or ]
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let obj: any;
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try {
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obj = JSON.parse(json);
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@ -333,6 +340,10 @@ export function parseAction(raw: string, role: Role): Action {
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if (obj.kind === "plan" && Array.isArray(obj.steps)) return obj as Action;
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if (obj.kind === "tool_call" && typeof obj.tool === "string" && typeof obj.args === "object") return obj as Action;
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if (obj.kind === "propose_done" && Array.isArray(obj.fills)) return obj as Action;
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// Tolerance: some model outputs put a stray closing paren or
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// trailing garbage after the main object. If the kind looks
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// recognizable but shape doesn't match, bubble a cleaner error so
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// the orchestrator's soft-fail path doesn't swallow it.
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throw new Error(`executor returned unexpected shape: ${JSON.stringify(obj).slice(0, 200)}`);
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} else {
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// Normalize: some models (qwen2.5, mistral) emit the verdict AS the
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@ -36,6 +36,13 @@ import {
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import { mkdir, writeFile, appendFile } from "node:fs/promises";
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import { join } from "node:path";
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// 2026-04-20 — reverted to mistral executor after trying qwen2.5.
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// qwen2.5 emits malformed JSON (trailing `)` garbage, unterminated
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// strings) when asked for tool calls. mistral drops fields occasionally
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// but produces valid JSON. With optional `question` default + lean
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// prompt + schema lock, mistral seals baseline + recurring reliably.
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// Complex scenarios (5-fill, emergency, misplacement) remain flaky —
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// real Phase 20+ problem (larger model or constrained decoding needed).
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const EXECUTOR_MODEL = "mistral:latest";
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const REVIEWER_MODEL = "qwen2.5:latest";
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const DRAFT_MODEL = "qwen2.5:latest"; // artifact generation; short outputs
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@ -194,9 +201,13 @@ function fmt(e: LogEntry): string {
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async function executeToolCall(name: string, args: Record<string, any>): Promise<any> {
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if (name === "hybrid_search") {
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const { sql_filter, question, index_name, k } = args;
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if (!sql_filter || !question || !index_name) {
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throw new Error(`hybrid_search needs sql_filter + question + index_name, got ${JSON.stringify(args)}`);
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const { sql_filter, index_name, k } = args;
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// `question` is strictly required by /vectors/hybrid but local models
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// intermittently drop it. Derive a sensible default from sql_filter
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// so a missing `question` doesn't waste turns.
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const question = args.question ?? "qualified available workers";
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if (!sql_filter || !index_name) {
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throw new Error(`hybrid_search needs sql_filter + index_name, got ${JSON.stringify(args)}`);
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}
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// Every fill event uses the playbook_memory boost — that's the point
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// of the run-as-a-whole: earlier events seed later ones.
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