mirror of
https://github.com/garrytan/gbrain.git
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* feat(v0.22.0): eval_candidates + eval_capture_failures schema (Lane 1A)
R1 substrate for BrainBench-Real, replayed onto master after Cathedral II
landed. Migration v30 (slotted after master's v25-v29 Cathedral II wave)
creates two tables:
eval_candidates: per-call capture of MCP/CLI/subagent query+search
traffic. Column set lets gbrain-evals replay with full fidelity —
source_ids from v0.18 multi-source, vector_enabled/detail_resolved/
expansion_applied so replay knows what hybridSearch actually did,
remote + job_id + subagent_id so rows are traceable to their origin.
query is CHECK-capped at 50KB; PII scrubber (Lane 1B) runs before insert.
eval_capture_failures: cross-process audit trail. In-process counters
don't work because `gbrain doctor` runs in a separate process from
the MCP server. Persistent rows let doctor query capture health via
COUNT(*) GROUP BY reason over the last 24h.
Both tables get RLS on Postgres gated on BYPASSRLS (matches v24/v29
posture). PGLite ignores RLS; sqlFor split carries only DDL.
5 new BrainEngine methods (breaking-interface addition, drives v0.22.0
minor bump): logEvalCandidate, listEvalCandidates,
deleteEvalCandidatesBefore, logEvalCaptureFailure, listEvalCaptureFailures.
listEvalCandidates uses ORDER BY created_at DESC, id DESC so
`gbrain eval export` is deterministic across same-millisecond inserts.
Also adds HybridSearchMeta type for the side-channel callback used by
Lane 1C's op-layer capture (no change to hybridSearch return shape —
that respects Cathedral II's existing SearchResult[] contract).
Tests: 14 PGLite round-trip cases + 8 v30 structural assertions.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(v0.22.0): PII scrubber + op-layer capture module (Lane 1B)
Replayed onto master post-Cathedral II. Same semantics as the original
v0.21.0 work — only adjusted to import HybridSearchMeta from types.ts
(canonical home) instead of redeclaring it locally.
src/core/eval-capture-scrub.ts — pure-function regex scrubber with 6
pattern families: emails, phones (US + E.164), SSN (year-aware),
Luhn-verified credit cards, JWT-shaped tokens, bearer tokens. Zero
deps. Adversarial-input safe.
src/core/eval-capture.ts — op-layer hook helper:
- buildEvalCandidateInput(ctx, {scrub_pii}) — pure row builder
- classifyCaptureFailure(err) — Postgres SQLSTATE → reason tag
- captureEvalCandidate(engine, ctx, opts) — best-effort, never throws
- isEvalCaptureEnabled / isEvalScrubEnabled — file-plane config checks
GBrainConfig gains `eval?: {capture?, scrub_pii?}`. Both default ON.
File-plane only — `gbrain config set` writes the DB plane, doesn't
control capture.
Tests: 17 scrubber + 21 capture-module cases. Zero regressions.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(v0.22.0): hybridSearch onMeta callback + op-layer capture (Lane 1C)
Replayed onto master. Adapted from the original v0.21.0 work to keep
Cathedral II's contract intact: hybridSearch's return stays
`Promise<SearchResult[]>` (unchanged), and meta surfaces via an optional
`onMeta?: (meta: HybridSearchMeta) => void` callback in HybridSearchOpts.
Cathedral II callers leave onMeta undefined and pay no cost. The
op-layer capture wrapper passes a closure that threads meta into the
captured row so gbrain-evals can distinguish:
- "with OPENAI_API_KEY" vs "keyword-only fallback" (vector_enabled)
- "expansion fired" vs "expansion requested + silently fell back" (expansion_applied)
- what hybridSearch actually used after auto-detect (detail_resolved)
Op-layer capture wired into both `query` and `search` op handlers in
src/core/operations.ts. Single hook site catches MCP dispatch + CLI +
subagent tool-bridge from the same place. Fire-and-forget, never throws,
respects ctx.config.eval.capture off-switch.
Tests:
- test/hybrid-meta.test.ts (8 cases) — onMeta accuracy across the 4
return paths in hybridSearch + verification that omitting onMeta
leaves Cathedral II callers unchanged.
- test/mcp-eval-capture.test.ts (10 cases) — query/search ops capture
correctly with MCP/CLI/subagent contexts, scrub on/off, capture=false
off-switch, non-captured ops (list_pages, get_page), F1 failure
isolation.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(v0.22.0): gbrain eval export/prune + doctor eval_capture check (Lane 1D)
Replayed onto master. Same semantics as the original v0.21.0 work.
CLI:
gbrain eval export [--since DUR] [--limit N] [--tool query|search]
NDJSON to stdout, every row prefixed with "schema_version":1 per
docs/eval-capture.md contract. EPIPE-safe streaming, stderr
heartbeats, deterministic ordering (created_at DESC, id DESC).
gbrain eval prune --older-than DUR [--dry-run]
Explicit retention cleanup. Requires --older-than (never deletes
without a window). Duration strings: 30d, 7d, 1h, 90m, 3600s.
Legacy bare `gbrain eval --qrels …` still works via sub-subcommand
fall-through.
gbrain doctor gains an eval_capture check between markdown_body_completeness
and queue_health: reads eval_capture_failures for the last 24h, groups by
reason, warns when non-zero. Pre-v30 brains get "Skipped (table
unavailable)" — non-fatal.
docs/eval-capture.md ships the stable NDJSON schema reference for
gbrain-evals consumers.
Tests: 9 export cases + 5 prune cases. Doctor check covered by
existing doctor tests on master.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(v0.22.0): public-exports contract test + CI count guard (Lane 2 / R2)
Master locks 17 public subpath exports as gbrain's stable third-party
contract. Zero enforcement existed. This PR locks the surface in two
layers:
1. test/public-exports.test.ts — runtime contract test.
Reads package.json "exports" at startup. For each subpath, imports
via the package name ("gbrain/engine"), NOT the relative filesystem
path — that's the difference between exercising the actual resolver
and bypassing it. Every subpath gets a canary symbol pinned (e.g.
gbrain/search/hybrid must export hybridSearch + rrfFusion) so a
refactor that renames or removes one fails CI before downstream
consumers (gbrain-evals) silently break.
2. scripts/check-exports-count.sh — CI structural guard.
Wired into `bun test` after check-jsonb-pattern.sh +
check-progress-to-stdout.sh + check-wasm-embedded.sh per master's
precedent. EXPECTED_COUNT=17 baseline — shrinks fail loudly,
growth also fails so the new canary must be pinned in the runtime
test deliberately.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs+e2e(v0.22.0): VERSION/CHANGELOG/CLAUDE/README + Postgres E2E (Lane 3)
Bump VERSION + package.json to 0.22.0 (next free slot after master's
v0.21.0 Code Cathedral II minor).
CHANGELOG.md v0.22.0 entry follows the Garry voice template:
- Bold 2-line headline
- Lead paragraph contextualizing v0.20 + v0.21 + v0.22 progression
- Numbers-that-matter table comparing v0.21.0 → v0.22.0
- "What this means for you" sectioned by audience
- "## To take advantage of v0.22.0" operator runbook
- Itemized changes
CLAUDE.md updates:
- Key files: 8 new module entries (eval-capture*, eval-export,
eval-prune, docs/eval-capture.md, public-exports test).
hybrid.ts entry rewritten to reflect the additive `onMeta` callback
(return shape unchanged).
- Key commands: new v0.22.0 section for `gbrain eval export`,
`gbrain eval prune`, and the doctor `eval_capture` check, with the
file-plane vs DB-plane config gotcha called out.
README.md: one-paragraph pointer after the BrainBench blurb so anyone
reading the landing page sees the new session-capture feature.
llms.txt + llms-full.txt regenerated to pick up the doc additions.
test/e2e/eval-capture.test.ts (Postgres-only E1 spec):
- CHECK violation surfaces as Postgres SQLSTATE 23514 on oversize input
- RLS is actually enabled on both eval_candidates + eval_capture_failures
- 50 concurrent logEvalCandidate calls — no deadlock, all distinct IDs
Skips gracefully when DATABASE_URL is unset.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs(todos): P0 — PGLite test-runner concurrency flake
Pre-existing on master, surfaces ~27 false failures when bun test runs all
174 files together. Each failing file passes in isolation. Tracked for a
dedicated investigation branch.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(v0.22.0): adversarial review post-fixes (doctor RLS, onMeta safety)
Two surgical fixes from /ship adversarial review, plus 6 follow-ups TODO'd
into v0.22.1:
- doctor.ts: distinguish pre-v30 missing-table (42P01, ok skip) from
RLS-denied SELECT (42501, warn) and other DB errors (warn). The check
exists specifically to surface capture-failure misconfigs cross-process,
so silently reporting "ok / skipped" on the most diagnostic class
defeated the purpose.
- hybrid.ts: wrap onMeta invocation in try/catch via small emitMeta
helper. The callback is part of the public gbrain/search/hybrid
contract; a throwing user-supplied closure must never break the search
hot path.
- TODOS.md: 6 P1 follow-ups (eval prune real COUNT, scrubber CC false
positives, dead 'scrubber_exception' enum value, id-cursor for
cross-window dedup, public-export canary pinning, EXPECTED_COUNT dedup).
- TODOS.md: P0 entry for the pre-existing PGLite test-runner concurrency
flake (~27 false failures in full bun test on master).
- CHANGELOG.md: 2 bullets noting the doctor + onMeta hardening.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* chore(version): bump v0.22.0 → v0.25.0 (queue-aware version pick)
Master is at v0.21.0. Open PRs claim v0.21.1 (#432) and v0.24.0 (#387).
v0.25 is the first uncontested slot, so this branch claims it. Pure
rename across VERSION, package.json, CHANGELOG header, and every "v0.22.0"
reference in CLAUDE.md / README.md / TODOS.md / docs/eval-capture.md /
src/ / test/ files. CHANGELOG date bumped to 2026-04-26.
llms.txt + llms-full.txt regenerated.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(v0.25.0): gbrain eval replay + contributor doc + CONTRIBUTING link
Closes the gap between "session capture works" (this PR's core) and
"contributors actually use it before merging." Three artifacts:
- src/commands/eval-replay.ts (~340 LOC) — reads NDJSON from `gbrain eval
export`, re-runs each captured query/search against the current brain,
computes set-Jaccard@k, top-1 stability, and latency delta. Stable JSON
shape (schema_version:1) for CI gating; human mode prints a regression
table sorted worst-first. Pure Bun, zero new deps. Stub-engine tests
cover Jaccard math, NDJSON parser (including v2 forward-compat
rejection + line-numbered errors), --limit, --verbose, --json, and
graceful per-row error handling. 16/16 passing.
- docs/eval-bench.md (~80 lines) — contributor guide. The 4-command loop
(export → change → replay → diff), metric definitions with healthy
ranges (Jaccard ≥0.85, top-1 ≥85%, latency Δ within ±50ms), trigger
paths, CI integration snippet, hand-crafted NDJSON corpus path for
fresh installs, and the off-switch. Pairs with the existing
docs/eval-capture.md which is the consumer-facing wire format.
- CONTRIBUTING.md gains a "Running real-world eval benchmarks (touching
retrieval code)" section with the trigger paths and a link to
docs/eval-bench.md. Reviewers now have a one-line ask: "did you run
replay?"
CLAUDE.md key files updated. CHANGELOG bullets added. llms.txt
regenerated.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(v0.25.0): CONTRIBUTOR_MODE flag — capture off by default for users
Eval capture was on for everyone in the v0.25.0 draft. Privacy footgun:
end users had retrieval traffic accumulate in their brain DB without
asking, even with PII scrubbing. Flips to off by default + explicit
opt-in for contributors who actually use the replay loop.
Resolution order in isEvalCaptureEnabled():
1. config.eval.capture === true → on
2. config.eval.capture === false → off
3. process.env.GBRAIN_CONTRIBUTOR_MODE === '1' → on
4. otherwise → off
The env var is the contributor-facing toggle (one line in .zshrc, no
JSON edit). Explicit config wins both directions for users who want to
override per-brain.
PII scrubbing gate stays independent — default true regardless of
CONTRIBUTOR_MODE — so any brain that does capture still scrubs.
Tests rewritten: env var hygiene per-test (origMode preserved + restored
in finally). 9/9 pass; total v0.25.0 suite is 198/198.
Docs:
- README.md gains a Contributing-section pointer to the env var.
- CONTRIBUTING.md gains a "CONTRIBUTOR_MODE — turn on the dev loop"
section with verification commands and resolution-order table.
- docs/eval-bench.md leads with the prerequisite (must set the env var
for the rest of the doc to be useful).
- docs/eval-capture.md "Config" section split into Path A (env var) +
Path B (config) with explicit resolution-order rules.
- CHANGELOG v0.25.0 entry corrected ("on by default" was wrong) plus a
new top itemized bullet calling out the gate change.
- CLAUDE.md eval-capture entry annotated with the new gate logic.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: post-ship documentation pass for v0.25.0
Cross-references every doc against the final state of the branch
(CONTRIBUTOR_MODE flag, eval replay tool, off-by-default capture):
- README.md: top callout rewritten — was implying capture-on-by-default
contradicting the gate landed in 7a80ce25. Now leads with
"contributor opt-in" and links docs/eval-bench.md alongside
docs/eval-capture.md.
- AGENTS.md: new "Eval retrieval changes" task entry with the
CONTRIBUTOR_MODE+replay one-liner so non-Claude agents (Codex, Cursor,
Aider) have the same path.
- CLAUDE.md: "Key commands added in v0.25.0" gains the replay command and
a CONTRIBUTOR_MODE bullet covering the resolution order.
- CHANGELOG.md: headline rewritten to match the actual feature ("benchmark
retrieval changes against real captured queries before merging" — was
"every real query is captured"). Stale "v0.22 ships the substrate"
→ v0.25. Test count corrected 82 → 144 (added 16 replay + 9
CONTRIBUTOR_MODE + 8 v31-shape tests since the original count). Two
metric rows added to the numbers table: default-off posture, in-tree
replay tooling. "To take advantage" block split into user vs
contributor branches with shell-rc instructions.
- TODOS.md: v0.22.1 follow-up reference corrected to v0.25.1.
llms.txt + llms-full.txt regenerated. Typecheck clean. 198/198 v0.25.0
tests still green.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
209 lines
8.0 KiB
TypeScript
209 lines
8.0 KiB
TypeScript
/**
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* Op-layer capture wrapper (v0.21.0).
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*
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* Catches MCP + CLI + subagent tool-bridge traffic from a single site —
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* the `query` and `search` op handlers in src/core/operations.ts decorate
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* themselves with `captureEvalCandidate` before they run. Post-codex O1+O2
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* design: the MCP server used to be the capture site, but subagent tool
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* calls dispatch straight to op.handler via brain-allowlist.ts and would
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* have been invisible. Moving the hook to the op layer covers every caller.
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*
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* Best-effort, not await'd by the caller. Every failure is routed through
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* `engine.logEvalCaptureFailure(reason)` so `gbrain doctor` can see drops
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* cross-process (in-process counters would be invisible from doctor's
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* separate process).
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*
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* Data-flow (happy path):
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*
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* op.handler() ──▶ {results, meta}
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* │
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* (fire-and-forget from caller)
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* ▼
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* outer try / inner .catch
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* │
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* ▼
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* scrubPii(query)
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* │
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* ▼
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* buildEvalCandidateInput(...)
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* │
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* ▼
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* engine.logEvalCandidate(input)
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*
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* Every error path — scrub throw, build throw, INSERT reject — lands at
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* `logEvalCaptureFailure(reason)` with the right reason tag.
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*/
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import type { BrainEngine } from './engine.ts';
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import type {
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EvalCandidateInput,
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EvalCaptureFailureReason,
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HybridSearchMeta,
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SearchResult,
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} from './types.ts';
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import type { GBrainConfig } from './config.ts';
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import { scrubPii } from './eval-capture-scrub.ts';
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// HybridSearchMeta is canonical in src/core/types.ts and exported via the
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// public `gbrain/types` subpath. Surfaced from hybridSearch via the
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// optional onMeta callback in HybridSearchOpts (Lane 1C).
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export type { HybridSearchMeta };
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/** Context needed to build a capture row. Bundled so op handlers don't thread 8 args. */
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export interface CaptureContext {
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/** 'query' or 'search'; captured only for these two ops. */
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tool_name: 'query' | 'search';
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/** Pre-scrub query text. scrubPii runs INSIDE buildEvalCandidateInput when scrub_pii !== false. */
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query: string;
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/** Result set from the op handler. */
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results: SearchResult[];
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/** Side-channel metadata from hybridSearch. For 'search' ops, pass vector_enabled:false, others null/false. */
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meta: HybridSearchMeta;
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/** How long the underlying op took, in milliseconds. */
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latency_ms: number;
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/** OperationContext.remote — true for MCP callers, false for local CLI. */
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remote: boolean;
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/** The `expand` flag as requested by the caller (query-only; null for search). */
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expand_enabled: boolean | null;
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/** The `detail` flag as requested (query-only). */
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detail: 'low' | 'medium' | 'high' | null;
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/** OperationContext.jobId if present. */
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job_id: number | null;
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/** OperationContext.subagentId if present. */
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subagent_id: number | null;
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}
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/**
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* Build the insert row for `eval_candidates` from a capture context.
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*
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* Runs the PII scrubber on `query` unless `scrub_pii === false`. Pure
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* function: throws only if the scrubber throws (caller wraps in try/catch).
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*
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* Exported for testing and for CLI backfill paths; the hot-path caller is
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* `captureEvalCandidate` below.
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*/
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export function buildEvalCandidateInput(
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ctx: CaptureContext,
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opts: { scrub_pii?: boolean } = {},
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): EvalCandidateInput {
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const shouldScrub = opts.scrub_pii !== false;
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const query = shouldScrub ? scrubPii(ctx.query) : ctx.query;
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// Deduplicate + preserve order for slug + source_id extraction.
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// Both arrays are small (hybridSearch clamps at 100 results) so the
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// O(n) Set-based dedup is fine.
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const slugsSet = new Set<string>();
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const sourceSet = new Set<string>();
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const chunkIds: number[] = [];
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for (const r of ctx.results) {
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slugsSet.add(r.slug);
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if (r.source_id) sourceSet.add(r.source_id);
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chunkIds.push(r.chunk_id);
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}
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return {
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tool_name: ctx.tool_name,
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query,
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retrieved_slugs: [...slugsSet],
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retrieved_chunk_ids: chunkIds,
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source_ids: [...sourceSet],
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expand_enabled: ctx.expand_enabled,
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detail: ctx.detail,
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detail_resolved: ctx.meta.detail_resolved,
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vector_enabled: ctx.meta.vector_enabled,
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expansion_applied: ctx.meta.expansion_applied,
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latency_ms: ctx.latency_ms,
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remote: ctx.remote,
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job_id: ctx.job_id,
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subagent_id: ctx.subagent_id,
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};
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}
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/**
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* Map a caught error to an `EvalCaptureFailureReason` so doctor can
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* group failures by cause (DB down vs RLS reject vs CHECK violation).
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*
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* Narrow by Postgres SQLSTATE where we can (postgres-js + PGLite both
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* surface `.code`), fall back to 'other'.
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*/
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export function classifyCaptureFailure(err: unknown): EvalCaptureFailureReason {
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if (err && typeof err === 'object') {
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const code = (err as { code?: string }).code;
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if (code === '23514') return 'check_violation'; // CHECK constraint violation
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if (code === '42501') return 'rls_reject'; // insufficient_privilege
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if (code === '42P01') return 'db_down'; // undefined_table (pre-v25)
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if (code === '53300' || code === '08006' || code === '08003') return 'db_down';
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const name = (err as { name?: string }).name;
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if (name === 'RegExpMatchError' || name === 'SyntaxError') {
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return 'scrubber_exception';
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}
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}
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return 'other';
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}
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/**
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* Fire-and-forget capture side-effect. Never throws: every failure is
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* swallowed, classified, and routed through `engine.logEvalCaptureFailure`
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* (itself wrapped — failure-of-failure is logged to stderr and dropped).
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*
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* Callers invoke as `void captureEvalCandidate(...)` — we explicitly do
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* NOT await so the op response latency is unaffected.
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*/
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export async function captureEvalCandidate(
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engine: BrainEngine,
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ctx: CaptureContext,
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opts: { scrub_pii?: boolean } = {},
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): Promise<void> {
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try {
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const input = buildEvalCandidateInput(ctx, opts);
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await engine.logEvalCandidate(input);
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} catch (err) {
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const reason = classifyCaptureFailure(err);
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try {
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await engine.logEvalCaptureFailure(reason);
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} catch (failureErr) {
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// Failure-of-failure: last-resort stderr. Doctor can't see this
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// row, but we've exhausted the persistent path.
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// eslint-disable-next-line no-console
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console.warn('[eval-capture] secondary failure logging also failed:', failureErr);
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}
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}
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}
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/**
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* Check whether capture is enabled for this process.
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*
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* Resolution order:
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* 1. `config.eval.capture === true` → on (explicit user opt-in wins)
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* 2. `config.eval.capture === false` → off (explicit user opt-out wins)
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* 3. `process.env.GBRAIN_CONTRIBUTOR_MODE === '1'` → on (contributor opt-in)
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* 4. otherwise → off (default-off, privacy-positive for end users)
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*
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* The default flipped in v0.25.0 from "on for everyone" to "off unless you
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* opt in." Capturing every query a real user runs without their consent is
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* a footgun even with PII scrubbing; tying capture to CONTRIBUTOR_MODE makes
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* the developer-skill nature of the feature explicit. Production users get
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* a quiet brain; contributors get the BrainBench-Real replay loop with one
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* shell rc line. See docs/eval-bench.md and CONTRIBUTING.md.
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*
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* Takes the already-loaded config so callers control the loadConfig()
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* lifecycle (MCP server loads once at boot, CLI commands load per-invocation).
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*/
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export function isEvalCaptureEnabled(config: GBrainConfig | null | undefined): boolean {
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if (config?.eval?.capture === true) return true;
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if (config?.eval?.capture === false) return false;
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return process.env.GBRAIN_CONTRIBUTOR_MODE === '1';
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}
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/**
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* PII scrubbing enabled? Defaults to true; explicit `false` opts out.
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*
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* Independent of `isEvalCaptureEnabled` — scrubbing only matters when capture
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* is actually running, but the gate stays separate so CONTRIBUTOR_MODE
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* doesn't accidentally turn off scrubbing on a brain that happens to also
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* have explicit `capture: true`.
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*/
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export function isEvalScrubEnabled(config: GBrainConfig | null | undefined): boolean {
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return config?.eval?.scrub_pii !== false;
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}
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