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17
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
|
3aedffadc0 |
fix(docs): comprehensive drift audit — contradictions, broken links, stale refs (#1201)
A community member reported docs 'have quite a bit of drift and some broken
links' and contradictions like 'says don't use bun but also to use bun.' This
PR is a top-to-bottom audit + fix across every doc file at the repo root and
under docs/. Where docs disagreed with each other, the code was the tie-breaker.
## Categories of fix
### 1. Stale CLI commands (skillpack install → scaffold)
`gbrain skillpack install` was retired in v0.36.0.0 (replaced by the
scaffold/reference/migrate-fence model). The CLI now errors out with a hint:
$ gbrain skillpack install
Error: 'gbrain skillpack install' was removed in v0.33.
Use 'gbrain skillpack scaffold <name>' instead.
But the docs still recommended it:
- README.md line 29 — primary install path
- docs/INSTALL.md lines 12 — primary install path
Both updated to `gbrain skillpack scaffold --all` with the v0.36.0.0 retirement
explained inline + the migrate-fence escape hatch for users upgrading from older
releases.
### 2. The 'bun install -g vs bun link' contradiction
The community member's exact complaint. The drift:
- README.md + docs/INSTALL.md: recommended `bun install -g github:garrytan/gbrain`
- INSTALL_FOR_AGENTS.md line 29: 'Do NOT use `bun install -g github:garrytan/gbrain`.'
Reading the code + CHANGELOG: `bun install -g` IS the canonical path. Bun
occasionally blocks the top-level postinstall hook on global installs (issue #218),
but the postinstall now prints a loud recovery hint when that happens, and
`gbrain doctor` flags `schema_version: 0` and routes users to
`gbrain apply-migrations --yes`. The 'do not use' warning was correct in 2024
when the postinstall silently swallowed errors with `|| true`; it's stale now.
Reconciled:
- INSTALL_FOR_AGENTS.md Step 1: now recommends `bun install -g` as the primary
path, documents #218 as a known issue with the recovery command, and keeps
`git clone + bun link` as a documented fallback.
- AGENTS.md Install (5 min): same reconciliation; clone path is the fallback,
not the default.
- docs/INSTALL.md CLI standalone: added the #218 callout so the deterministic
fallback is one click away when the default fails.
### 3. Broken internal links
- README.md → `docs/integrations/voice.md` (file doesn't exist). The real voice
recipe lives at `recipes/twilio-voice-brain.md` (Twilio + OpenAI Realtime).
Fixed to point there with an accurate one-line summary.
- CONTRIBUTING.md → `docs/SQLITE_ENGINE.md` (file doesn't exist; superseded by
PGLite per docs/ENGINES.md). Replaced with a paragraph explaining the
supersession and pointing at the live ENGINES.md.
- docs/GBRAIN_V0.md → `docs/SQLITE_ENGINE.md` (2 references; same supersession).
Added a historical-doc banner at the top + rewrote both references to point at
the current ENGINES.md.
### 4. Stale API key recommendations
INSTALL_FOR_AGENTS.md Step 2 only mentioned OpenAI + Anthropic. As of v0.36.2.0
ZeroEntropy is the default embedding + reranker stack (README opens with this);
the agent install guide didn't reflect it. Added `ZEROENTROPY_API_KEY` as the
default, kept OpenAI/Voyage as documented fallbacks, noted that keys can live in
`~/.gbrain/config.json` (file plane) or env.
### 5. Stale upgrade workflow
INSTALL_FOR_AGENTS.md 'Upgrade' section assumed the clone+bun-install model
(`cd ~/gbrain && git pull && bun install && gbrain init && gbrain post-upgrade`)
and didn't mention `gbrain upgrade` (the single-command path that exists in the
CLI today: binary self-update + schema migrations + post-upgrade prompts in one).
Split into two paths — `gbrain upgrade` for the bun-install-g case (now the
default per Step 1), clone-path for the fallback case.
Also fixed AGENTS.md 'Migrate' bullet (was `gbrain apply-migrations` only;
now leads with `gbrain upgrade` and keeps apply-migrations as the manual
schema-only path).
### 6. Stale cron-workflow
INSTALL_FOR_AGENTS.md Step 7 referenced cron docs but didn't mention
`gbrain autopilot --install` (the built-in self-maintaining daemon that
exists in the CLI today) or `gbrain sync --watch` (continuous loop). Added
both as alternatives to platform-cron glue.
### 7. ZeroEntropy version typo
docs/INSTALL.md said 'the v0.36.0.0 ZE switch' — ZE landed in v0.36.2.0
(v0.36.0.0 was the skillpack-scaffold retirement). Fixed.
## What I did NOT change
- CHANGELOG.md, CLAUDE.md, TODOS.md prose mentions of historical commands like
`gbrain skillpack install` are correct as history — they're documenting what
was true in past releases. Only forward-looking docs got updated.
- The 'broken link' false-positive matches in CHANGELOG / CLAUDE / TODOS are
inside code-fence examples or regex patterns (`[Name](people/slug)`,
`[a-z0-9](?:[a-z0-9-]{0,30}[a-z0-9])`, `[--json](interrupted)`); they're
illustrative syntax, not real links. Leaving alone.
- llms.txt / llms-full.txt regenerated via `bun run build:llms` so the
agent-fetch documentation map matches the new content.
## Verification
- `bun run src/cli.ts --help` cross-checked against every command/flag the
install docs reference: init, doctor, apply-migrations, upgrade, post-upgrade,
skillpack scaffold/reference/migrate-fence, embed --stale, sync --watch,
autopilot --install, dream, integrations list, extract links/timeline,
graph-query, query, search modes — all real, all current.
- `bun run src/cli.ts skillpack install` confirmed to error out with the
retirement hint pointing at scaffold (proves the README guidance was actively
misleading users into a dead-end).
- Re-ran the broken-internal-link scanner across all root .md + docs/**/*.md;
zero real broken links remain (5 residual matches are illustrative syntax
inside prose, not actionable links).
Co-authored-by: garrytan-agents <agents@garrytan-agents.local>
|
||
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|
cb8d6d8724 |
fix(sync): raise maxBuffer to 100 MiB to prevent silent ENOBUFS crash (#982)
Node's default maxBuffer for execFileSync is 1 MiB. On repos with 60-100K files, `git diff --name-status -M` output easily exceeds this, causing the sync process to die silently with no error in the log. Observed at /data/brain (99K files, 62K in git ls-files): sync consistently died during the rename-detection phase at ~15% through `buildSyncManifest()`. No stack trace, no error event — just a dead process. The fix survived 5+ full syncs on the same corpus. 100 MiB is generous but bounded. A 100K-file diff with long paths tops out around 10-20 MiB in practice. Co-authored-by: garrytan-agents <garrytan-agents@users.noreply.github.com> |
||
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|
1a6b543cc5 |
v0.33.2.0 feat(search-lite): token budget + semantic query cache + intent weighting (#897)
* feat(search-lite): token budget + semantic query cache + intent weighting
Adds three additive features to the hybrid search pipeline. All
backward-compatible: existing callers see identical behavior unless they
opt in to the new options.
## 1. Token Budget Enforcement (src/core/search/token-budget.ts)
Cap the cumulative token cost of returned results so search payloads
fit downstream context windows. Greedy top-down walk; preserves caller
ordering; no re-rank. char/4 heuristic for token counting (no
tokenizer dependency \u2014 keeps the bun --compile bundle small).
SearchOpts.tokenBudget \u2014 numeric cap. Default undefined = no-op.
HybridSearchMeta.token_budget = { budget, used, kept, dropped }
HTTP query op: pass `token_budget` param.
## 2. Semantic Query Cache (src/core/search/query-cache.ts + migration v52)
Cache search results keyed by query embedding similarity. HNSW lookup:
`embedding <=> $1 < 0.08` (cosine similarity >= 0.92). Per-source
isolation so multi-source brains don\u2019t bleed. Per-row TTL (default 3600s).
Best-effort writes; all errors swallowed so the cache never breaks the
search hot path.
Migration v52 creates query_cache table with HALFVEC where pgvector >= 0.7;
falls back to VECTOR with the resolved config.embedding_dimensions dim.
New `gbrain cache` CLI: stats / clear --yes / prune.
Config keys: search.cache.enabled / similarity_threshold / ttl_seconds.
HybridSearchMeta.cache = { status, similarity?, age_seconds? }
Routed through new `hybridSearchCached(engine, query, opts)` wrapper;
the operations.ts query op now uses this wrapper so MCP/CLI calls
benefit automatically. Skipped for two-pass walks + non-default
embedding columns where cache semantics don\u2019t hold.
## 3. Zero-LLM Intent Weighting (src/core/search/intent-weights.ts)
Builds on the existing query-intent classifier (4 intents: entity /
temporal / event / general). New weight-adjustment layer applies subtle
per-intent nudges:
entity \u2192 boost keyword RRF + exact slug/title match
temporal \u2192 default recency=on when caller left it unset
event \u2192 boost keyword RRF (rare named entities) + soft recency
general \u2192 no-op (1.0 multipliers everywhere)
All adjustments are SUBTLE (max 1.25x). Caller-explicit options ALWAYS
win \u2014 intent weighting never silently overrides recency / salience.
Default ON; opt out via `opts.intentWeighting = false`. LLM query
expansion (expansion.ts) is still available and opt-in via
`opts.expansion = true` \u2014 it just isn\u2019t the default anymore.
HybridSearchMeta.intent now surfaces classifier output for debugging.
## Tests
test/token-budget.test.ts (10 tests, pure module)
test/intent-weights.test.ts (13 tests, pure module)
test/query-cache.test.ts (12 tests, PGLite)
test/hybrid-search-lite.serial.test.ts (9 tests, PGLite e2e)
Plus 105 pre-existing search tests still pass. `bun run verify` clean.
Co-authored-by: Wintermute <agents@garrytan.com>
* feat(search-mode): MODE_BUNDLES + resolveSearchMode wired into bare hybridSearch
Three named modes (conservative / balanced / tokenmax) that bundle the
search-lite knobs from PR #897 into a single config key. Mode resolution
lives in bare hybridSearch (NOT just the cached wrapper) so eval-replay
and eval-longmemeval — which call bare hybridSearch — test the same
mode-affected behavior as production. See [CDX-5+6] in the plan.
The mode bundle supplies DEFAULTS for intentWeighting, tokenBudget,
expansion, and searchLimit when the caller leaves those undefined.
Per-call SearchOpts and per-key config overrides still win (matches the
v0.31.12 model-tier resolution chain at model-config.ts:resolveModel).
knobsHash() exposes a stable SHA-256 of the resolved knob set; the cache
contamination hotfix (next commit) consumes it to prevent a tokenmax
write from being served to a conservative read.
Three new fields on HybridSearchMeta:
- mode (resolved mode name)
- existing token_budget meta now fires from bare hybridSearch too
Bare hybridSearch now applies tokenBudget at all three return paths
(no-embedding-provider, keyword-only-fallback, main). Previously only
hybridSearchCached enforced budget; eval commands missed it.
Tests: 37 unit cases pin the 3x7 bundle table cell-by-cell, the
resolution chain semantics, knobs hash determinism + cross-mode
separation, and the config-table parser. All 72 search-lite tests pass.
Bisect-friendly: this commit ONLY adds mode resolution. The cache-key
contamination hotfix [CDX-4] is a separate atomic commit (next).
* fix(query-cache): cross-mode contamination hotfix [CDX-4]
PR #897's query_cache keyed rows on sha256(source_id::query_text) only.
A tokenmax search (expansion=on, limit=50) populated a row that a
subsequent conservative call (no expansion, limit=10) read back, serving
the wrong-shape results. This is a real bug in PR #897 today, regardless
of the v0.32.3 mode picker work — Codex caught it in plan review.
Fix:
- Migration v56 adds query_cache.knobs_hash TEXT column + composite
(source_id, knobs_hash, created_at) index. Existing rows have NULL
knobs_hash and are excluded from lookups (silently re-populated with
the right hash on first hit — no orphan data, no destructive migration).
- cacheRowId(query, source, knobsHash) — knobsHash now part of the PK so
a tokenmax write and a conservative write for the same (query, source)
land in distinct rows.
- SemanticQueryCache.lookup({knobsHash}) filters WHERE knobs_hash = $.
- SemanticQueryCache.store({knobsHash}) writes the resolved hash.
- hybridSearchCached threads knobsHash from resolveSearchMode through
every cache call. Cache config (enabled/threshold/TTL) now reads from
the resolved mode bundle, not directly from the config table.
Tests (test/query-cache-knobs-hash.test.ts, 11 cases):
- cacheRowId bifurcates by knobsHash
- Tokenmax write does NOT contaminate conservative lookup
- Three modes coexist as distinct rows for same query
- Legacy NULL-knobs_hash rows are excluded from lookup
- Same-mode write updates in place (no duplicate rows)
All 58 cache + mode tests pass. Migration v56 applies cleanly on a fresh
PGLite brain.
Bisect-friendly: this commit is the cache-key hotfix alone. Mode
resolution wiring lives in the previous commit.
* feat(search-telemetry): in-process rollup writer + search_telemetry table
Migration v57 creates search_telemetry (date, mode, intent, count,
sum_results, sum_tokens, sum_budget_dropped, cache_hit, cache_miss,
first_seen, last_seen). PK (date, mode, intent) caps growth at ~4380
rows/year. Sums + counts only — averages derive at read time so
concurrent ON CONFLICT writes from multiple gbrain processes accumulate
correctly [CDX-17].
In-memory bucket flushed periodically (60s OR 100 calls) + on process
beforeExit/SIGINT/SIGTERM with a 2-second cap. The search hot path NEVER
waits on this write [D2, CDX-19].
Date-bucketed cache_hit / cache_miss columns make hit rate over --days N
derivable [CDX-18]. query_cache.hit_count is a lifetime counter and
can't be sliced by window.
Wired into bare hybridSearch via emitMeta: every search call sync-bumps
a bucket. flush() drains atomically by swapping the map before SQL writes
so a record() during flush lands in the new map.
readSearchStats(engine, {days}) returns the StatsWindow shape that
gbrain search stats consumes (next commit).
Tests: 16 unit cases pin record/flush/read semantics including
ON-CONFLICT-adds-raw-values, concurrent-flush coalescing, cache hit-rate
math, missing-table graceful degradation, and window clamping.
53 migrations apply on a fresh PGLite brain.
* feat(config): add unset + listConfigKeys + readLineSafe helper [CDX-7+8+9]
CDX-8: gbrain config has no unset path today. Required before
`gbrain search modes --reset` can clear search.* overrides.
- BrainEngine.unsetConfig(key) → returns rows deleted (0|1)
- BrainEngine.listConfigKeys(prefix) → exact-literal prefix match
with LIKE-escape on user-supplied % / _ / \ characters
- PGLiteEngine + PostgresEngine implementations
- `gbrain config unset <key>` and `gbrain config unset --pattern <prefix>`
sub-subcommands
CDX-9: readLine has no EOF detection or timeout. Mode-picker plan calls
out "TTY closes mid-prompt → defaults to balanced" but the raw helper
hangs forever. New readLineSafe(prompt, defaultValue, timeoutMs=60s):
- Returns defaultValue on stdin 'end' event
- Returns defaultValue on timeout
- Returns defaultValue on empty Enter
- Non-TTY stdin returns defaultValue immediately (e2e safe)
- Returns trimmed user input otherwise
Exported so install picker (next task) can use it.
Tests: 9 cases pin unset semantics + prefix matcher edge cases
(glob-wildcard escape, sort order, idempotent loop, search.* sweep).
All 53 migrations apply on a fresh PGLite brain.
* feat(init): install-time mode picker + upgrade banner
Install picker (src/commands/init-mode-picker.ts):
- Runs as a phase inside `gbrain init` AFTER engine.initSchema() so DB
config writes work [CDX-7].
- Idempotent: skipped on re-init if search.mode is already set.
- Smart auto-suggestion via recommendModeFor() reads
models.tier.subagent / models.default / OPENAI_API_KEY:
* Opus default/subagent → tokenmax (quality ceiling)
* Haiku subagent → conservative (4K budget keeps cost down)
* No OpenAI key → conservative (no LLM expansion possible)
* Sonnet / unknown → balanced (safe default)
- TTY shows menu via readLineSafe (60s timeout, defaults on EOF/empty).
- Non-TTY auto-selects + emits operator hint:
[gbrain] search mode: X (auto-selected — reason)
[gbrain] To change: gbrain config set search.mode <...>
- --json mode emits structured `{phase: 'search_mode_picker', ...}` event.
- Wired into both initPGLite and initPostgres flows.
Upgrade banner (src/commands/upgrade.ts):
- One-shot stderr banner in runPostUpgrade.
- State persisted via config key `search.mode_upgrade_notice_shown=true`
— fires at most once per install.
- Copy corrected per [CDX-1+2+3]: production query op STILL defaults
expand=true and limit=20. The banner reframes from "behavior is
regressing" to "named modes available + here's how to preserve
exact current shape."
Tests (test/init-mode-picker.test.ts, 16 cases):
- recommendModeFor heuristic for all 4 input shapes
- parseModeInput accepts numeric/named/case-insensitive, rejects garbage
- runModePicker non-TTY auto-selects + writes config
- Idempotent + --force re-prompt + JSON output
- Opus → tokenmax, Haiku → conservative real wiring through engine
* feat(cli): gbrain search modes/stats/tune command
Three sub-subcommands mirroring the gbrain models (v0.31.12) shape:
gbrain search modes [--json]
Read-only routing dashboard. Shows the three mode bundles, the active
mode, and the source of every resolved knob:
cache_enabled = true [override: search.cache.enabled]
tokenBudget = 4000 [mode: conservative]
Plus knob descriptions for legibility.
gbrain search modes --reset [--source <mode>]
Clears every search.* override (NOT search.mode itself). Preserves
the upgrade-notice state key. --source <mode> is a dry-run that
lists what --reset would change without writing — the paved path
[CDX-8] flagged as missing.
gbrain search stats [--days N] [--json]
Observability. Reads the search_telemetry rollup over the window
(clamps to [1, 365]). Prints cache hit rate, mode mix, intent mix,
budget drops, avg results/tokens. JSON output includes
_meta.metric_glossary block per [CDX-25].
gbrain search tune [--apply] [--json]
Recommendation engine. 5 rules cover the bug class:
- Insufficient data → "no_recommendations" status
- Conservative + high budget-drop rate → suggest balanced
- High cache hit rate (>85%) → suggest similarity threshold bump
- Tokenmax + Haiku subagent → suggest balanced (cost mismatch)
- Cache disabled but stats show usage → suggest re-enabling
--apply mutates config via setConfig / unsetConfig with a paste-ready
revert command printed at the end.
Registered in src/cli.ts dispatch table. 17 unit cases pin:
- Dashboard report shape + per-knob source attribution
- --reset preserves search.mode + notice key
- --source dry-run never writes
- stats reads telemetry rollup; --days clamps
- tune recommendation rules fire on real telemetry data
- --apply mutates config
- --help + unknown subcommand exit codes
* feat(eval): metric glossary module + auto-gen METRIC_GLOSSARY.md + CI guard
Single source of truth at src/core/eval/metric-glossary.ts. Every entry
carries 3 fields:
- industry_term (canonical IR/NLP literature name, preserved verbatim)
- eli10 (plain-English a 16-year-old can follow)
- range (numeric range + interpretation)
Covers 4 metric families:
- Retrieval: P@k, R@k, MRR, nDCG@k
- Stability: Jaccard@k, top-1 stability
- Statistical: p-value (paired bootstrap + Bonferroni), 95% CI
- Operational: cache hit rate, avg results/tokens, cost per query, p99 latency
Public surface:
- getMetricGloss(metric) → full entry or null
- eli10For(metric) → plain-English string or null
- buildMetricGlossaryMeta(metrics[]) → {metric → eli10} record for
JSON `_meta.metric_glossary` blocks per [CDX-25]. ONE block per
response, NOT sibling `_gloss` fields on every metric.
- renderMetricGlossaryMarkdown() → deterministic Markdown for the doc
Auto-generation:
scripts/generate-metric-glossary.ts emits docs/eval/METRIC_GLOSSARY.md.
Deterministic (same input → same bytes) so the CI guard can diff.
CI guard:
scripts/check-eval-glossary-fresh.sh regenerates into a temp file and
diffs against the committed doc. Out-of-date doc fails the build.
Wired into `bun run verify` (and therefore `bun run test:full`).
Tests (test/metric-glossary.test.ts, 18 cases):
- Every documented metric is present
- Every entry has all 3 required fields
- Accessors return null on unknown metrics (no throw)
- buildMetricGlossaryMeta silently drops unknown metrics
- renderer output is deterministic across calls
- Renderer groups metrics into 4 sections
docs/eval/METRIC_GLOSSARY.md: 5491 bytes, 124 lines, fresh.
* feat(doctor): search_mode + eval_drift checks + drift-watch module
src/core/eval/drift-watch.ts — curated retrieval watch-list [CDX-6].
Five patterns covering the surface that actually affects retrieval quality:
- src/core/search/ (search pipeline)
- src/core/embedding.ts (embedding shape)
- src/core/chunkers/ (chunk granularity)
- src/core/ai/recipes/anthropic.ts + openai.ts (expansion + embed routing)
- src/core/operations.ts (the query op definition)
Adding to the list is a deliberate act — requires a CHANGELOG line so
coverage grows on purpose, not by accident. Pure functions:
- matchesWatchPattern(path) — trailing-slash = prefix, bare = equality
- filesDriftedSince(repoRoot, sha?) — git diff --name-only wrapper
- watchedFilesDrifted(repoRoot, sha?) — composite
src/commands/doctor.ts — two new checks.
checkSearchMode [CDX-20]: status stays 'ok' (never warns, never docks
health score). Hint in message field. Three branches:
- unset → "search.mode is unset (using balanced fallback). Run
`gbrain search modes` to see what is running and pick a mode."
- mode + no overrides → "Mode: X (no per-key overrides — mode bundle
is canonical)."
- mode + overrides → "Mode: X with N per-key override(s) (k1, k2, …).
To consolidate to the pure mode bundle: gbrain search modes --reset"
Upgrade-notice state key (search.mode_upgrade_notice_shown) is excluded
from the override roster — it's not a knob.
checkEvalDrift [CDX-6]: surfaces uncommitted changes to retrieval-watched
files. Always 'ok'; operator-facing reminder. Names up to 3 drifted files
in the message + paste-ready re-eval command.
Both helpers exported (was: file-private) so tests can pin behavior
without walking the full runDoctor pipeline.
Tests: 12 drift-watch cases + 7 doctor-check cases. Pin watch-list shape,
prefix-vs-equality matcher semantics, missing-repo graceful failure, and
all three search_mode branches.
* feat(eval): --mode flag on longmemeval/replay + run-all + compare
Per-mode --mode flag plumbed into:
- gbrain eval longmemeval --mode <conservative|balanced|tokenmax>
Sets search.mode in the benchmark brain's config table; config is
in PRESERVE_TABLES so resetTables doesn't wipe it between questions.
Mode surfaces in the per-question NDJSON row.
- gbrain eval replay --mode <m> + --compare-limit N
--compare-limit forces a constant K across modes [CDX-13]; without
it, Jaccard@k against the captured baseline measures K-drift, not
quality. Mode is set once before the replay loop.
- NOT cross-modal per [CDX-11]: cross-modal scores OUTPUT against
TASK; it doesn't retrieve. Adding --mode there is theater.
New: gbrain eval run-all orchestrator (src/commands/eval-run-all.ts):
- Sweeps every requested mode × suite combination
- Sequential default per D9; --parallel N opt-in (clamped to mode count)
- Cost guard with split caps [CDX-15+16]:
--budget-usd-retrieval N (default $5)
--budget-usd-answer N (default $20)
Non-TTY refuses with exit 2 unless --yes AND explicit --budget-usd-*
flags pass. TTY refuses without --yes (defense against agent loops).
- estimateRunCost computes per-(suite,mode) breakdown including the
expansion-Haiku surcharge for tokenmax.
- Audit trail: appends to <repo>/.gbrain-evals/eval-results.jsonl
[CDX-23]. Personal brain (~/.gbrain) NEVER touched.
- v0.32.3 ships orchestrator + argv + guard + persist hook.
In-process per-suite invocation is a v0.32.4 follow-up (operator
runs the per-suite CLIs with the documented --mode flag for now;
each completion calls persistRunRecord to log).
New: gbrain eval compare report (src/commands/eval-compare.ts):
- Reads eval-results.jsonl, groups by (suite, mode), renders MD or JSON
- Most-recent (suite, mode, commit) wins when duplicates exist
- JSON output has schema_version=2 + _meta.metric_glossary block per
[CDX-25] (ONE block per response, not sibling _gloss fields)
- _meta.methodology field names the paired-bootstrap + Bonferroni
discipline per [CDX-14] so haters can reproduce
- Missing file → friendly hint pointing at `gbrain eval run-all`
Wired into eval dispatch table in src/commands/eval.ts.
Metric glossary fuzzy fallback: `recall@10` → `recall@k` lookup
(the glossary documents the family; report rows carry specific K
values). Routes through getMetricGloss for every call site.
Tests (42 cases total — all green):
- eval-run-all.test.ts (19): argv parser, cost estimate, guard
semantics for all 4 (over/under × tty/non-tty) shapes, persist hook
NDJSON shape.
- eval-compare.test.ts (5): JSON + MD output shapes, glossary
integration, missing-file graceful, mode filter, most-recent-wins.
- metric-glossary.test.ts (18): unchanged but updated assertions to
cover the fuzzy `@N` → `@k` fallback.
Pre-existing eval-replay / eval-longmemeval / eval-export / eval-prune
tests (42 cases) still pass — --mode + --compare-limit are additive.
* docs: methodology + CLAUDE.md/README/RESOLVER + skills/conventions
docs/eval/SEARCH_MODE_METHODOLOGY.md — haters-immune 8-section template.
Documents what the eval measures + does NOT measure, datasets + sizes
(LongMemEval n=500, Replay n=200, BrainBench n=1240 docs / 350 qrels),
random seed 42, run procedure verbatim, threats to validity (LongMemEval
English+technical skew, char/4 heuristic ~5-10% off, expansion ~97.6%
relative lift on this corpus), per-question raw outputs, pre-registered
expectations (tokenmax wins R@10 by 5-15pp, conservative wins cost by
5-15x, balanced lands within 3pp), re-run cadence anchored to the
src/core/eval/drift-watch.ts watch-list.
Statistical-significance section pins paired bootstrap with 10,000
resamples + Bonferroni correction across 3 modes × 4 metrics [CDX-14].
CLAUDE.md gets two new sections: ## Search Mode (3-mode table + resolution
chain + [CDX-4] cache contamination fix note + CLI commands) and ## Eval
discipline (single-source-of-truth glossary, methodology doc, eval_results
in repo NOT personal brain per [CDX-23]).
README.md Quick Start gets a paragraph naming the install picker, mode
heuristic, and the methodology link.
skills/conventions/search-modes.md NEW — convention file consumed by
brain-ops + query + signal-detector skills via the existing
`> **Convention:**` callout pattern. Routes "what mode" / "tune
retrieval" / "compare modes" queries to the right CLI surface.
skills/RESOLVER.md gets two new trigger rows pointing at
gbrain search * and gbrain eval compare.
* chore: regen llms.txt + llms-full.txt for v0.32.3 search-mode docs
bun run build:llms — picks up the new CLAUDE.md sections (Search Mode +
Eval discipline) and the docs/eval/SEARCH_MODE_METHODOLOGY.md addition.
build-llms.test.ts gate now passes.
* fix(doctor): wire search_mode + eval_drift checks into runDoctor main flow
The v0.32.3 search_mode + eval_drift helpers were inserted into the
DB-checks sub-helper at runDbChecks (line 345-355), but runDoctor itself
maintains its own check list and only calls the helpers' subset. Push
the two checks into the main runDoctor path (after the existing
sync_freshness check at line 2347) so they actually appear in
`gbrain doctor --json` output.
Both checks gated on engine !== null. Progress reporter heartbeat fires
for each. Both still return status 'ok' per [CDX-20] so health score is
preserved.
Verified end-to-end on a real Postgres brain: gbrain doctor --json now
includes 'search_mode' and 'eval_drift' in the checks array.
* fix: claw-test hang — DATABASE_URL leak + telemetry beforeExit deadlock
Two root causes for the hang, both fixed.
1. DATABASE_URL leak in claw-test scripted harness
The harness inherits the parent process's env via `...process.env`
for every phase child (init / import / query / extract / doctor).
When the e2e runner sets DATABASE_URL (for OTHER e2e tests), it
leaks into claw-test's children. `loadConfig` at src/core/config.ts:143
then flips inferredEngine to 'postgres' for every subsequent phase,
breaking the hermetic-PGLite-tempdir contract: phases race against
each other on a shared test Postgres while pointing at different
brain states.
Fix: strip DATABASE_URL + GBRAIN_DATABASE_URL from the child env
before forwarding. Re-apply GBRAIN_HOME / GBRAIN_FRICTION_RUN_ID
after the merge so a parent's override can't win. The harness is
PGLite-only by design.
2. Telemetry beforeExit deadlock
v0.32.3's recordSearchTelemetry installed a `process.on('beforeExit',
drainOnExit)` hook that wrapped the flush in `Promise.race([flush(),
setTimeout(2000)])`. beforeExit fires when the event loop empties,
but the hook enqueued NEW async work (the race's setTimeout +
pending flush), so the event loop never re-emptied. Short-lived
CLI invocations (`gbrain query "the"` finishing in ~100ms) ended
up waiting on the DB write indefinitely.
The claw-test harness spawns several short-lived gbrain queries.
Each one hung after its real work finished. The harness then waited
forever on its child subprocess's exit code.
Fix: drop the beforeExit + SIGINT + SIGTERM hooks. Per [CDX-19]'s
"stats are directional, not exact" contract, losing one unflushed
bucket on process exit is acceptable. The unref'd setInterval
handles long-running processes (HTTP MCP, autopilot, jobs work).
Short-lived CLI invocations exit immediately.
Verified:
- `gbrain query "the"` on a fresh PGLite brain exits in <1s (was
hanging forever).
- `bun test test/e2e/claw-test.test.ts` → 3 pass / 0 fail / 3.86s
(was hanging at the banner indefinitely).
- 85/85 e2e files / 574/574 tests pass including claw-test, with
DATABASE_URL set (the configuration that originally repro'd the
hang).
- 6235/6235 unit tests pass.
- Typecheck clean.
The two bugs interacted: the DATABASE_URL leak meant queries hit the
real Postgres (slow), making the beforeExit deadlock visible. Fixing
either alone would have masked the other. Both fixed in this commit.
* feat(install-picker): cost anchors in mode prompt + upgrade banner + docs
The install picker already asks explicitly (1/2/3 menu, default to the
recommendation on Enter). What was missing: a way to reason about the
cost tradeoff. Without numbers, "tokenmax" looks free and "conservative"
sounds restrictive; with numbers, the operator picks intentionally.
Cost anchors added everywhere the user encounters the mode choice:
- Install picker MENU_TEXT (gbrain init)
- Upgrade banner (gbrain upgrade post-upgrade)
- CLAUDE.md ## Search Mode section
- README.md Quick Start
- docs/eval/SEARCH_MODE_METHODOLOGY.md (with the math)
Anchors at Sonnet 4.6 downstream ($3/M input):
conservative ~$0.012/query ~$12/mo @ 1K ~$1,200/mo @ 100K
balanced ~$0.030/query ~$30/mo @ 1K ~$3,000/mo @ 100K
tokenmax ~$0.060/query ~$60/mo @ 1K ~$6,000/mo @ 100K
Plus tokenmax's Haiku expansion overhead: ~$1.50 per 1K queries on top.
Cache hits roughly halve these on a brain with repeat-query traffic.
The math is documented in SEARCH_MODE_METHODOLOGY.md so a reviewer can
audit each variable (T = ~400 tokens/chunk from the recursive chunker's
300-word target; N = `searchLimit` cap; R = downstream model rate from
src/core/anthropic-pricing.ts). Drift away from these numbers requires
updating CLAUDE.md + the picker + the methodology doc in lockstep — a
regression test pins the picker's anchor strings to enforce this.
The framing also names the cost rule honestly: the dominant cost isn't
gbrain (semantic cache is free; Haiku expansion is rounding-error). It's
the downstream agent reading retrieved chunks back into its context.
Operators who don't realize this pick badly.
Tests: 5 new regression cases in init-mode-picker.test.ts pin every
cost string in MENU_TEXT. Total 21/21 picker tests pass; 6240/6240
unit tests pass; verify gate green.
* docs: realistic-scale cost anchor for search modes
The per-query cost framing in the picker (~$0.012/$0.030/$0.060) is
honest but theoretical — it treats each search as an isolated billable
event. Real agent loops amortize a lot of context across turns via
Anthropic prompt caching, so the per-query 5x ratio doesn't translate
1:1 into total agent spend.
Added a "Realistic-scale anchor" section to SEARCH_MODE_METHODOLOGY.md
representing one heavy power-user agent loop running tokenmax:
- ~860 turns/mo (~29/day, one active agent)
- ~900K tokens/turn (system + tools + history + reasoning + search)
- ~$0.85/turn → ~$700/mo total agent spend at tokenmax
- ~88% Anthropic prompt-cache hit rate
Scaling balanced + conservative DOWN from that anchor:
- tokenmax → ~$700/mo, search ~22% of total spend
- balanced → ~$620/mo, search ~12% (saves ~$78/mo vs tokenmax)
- conservative → ~$575/mo, search ~5% (saves ~$124/mo vs tokenmax)
Honest takeaway: at realistic agent-loop scale WITH disciplined prompt
caching, mode choice saves 10-20% of total agent spend, not 5x. The
per-query math kicks back in for setups WITHOUT cache discipline (churn
the prompt prefix every turn → search payload becomes a larger fraction).
Both framings live in the doc.
CLAUDE.md ## Search Mode gets a forward-pointer paragraph naming the
"per-query math vs real-world spend" delta so agents reading the section
find the methodology footnote.
Numbers in the doc are anonymized + scaled away from any specific
deployment. No model names, no specific dollar figures from a real
production setup — just the per-turn / cache-hit-rate / search-count
shape ratios that a thoughtful operator can validate against their own
billing dashboard.
* feat(picker): mode × model cost matrix (25x corner-to-corner spread)
Previous version showed mode costs assuming Sonnet-only downstream.
That muted the spread to 5x and made mode choice look minor. Reality:
the downstream model tier is the BIGGER cost lever — pairing mode with
model is where the 25x spread lives.
New 3×3 matrix in the install picker, CLAUDE.md, methodology doc, README:
Haiku 4.5 Sonnet 4.6 Opus 4.7
($1/M input) ($3/M input) ($5/M input)
conservative $400/mo $1,200/mo $2,000/mo
balanced $1,000/mo $3,000/mo $5,000/mo
tokenmax $2,000/mo $6,000/mo $10,000/mo
(per-query cost @ 100K queries/mo, full search payload, no cache savings)
The methodology doc gets a new "Mode × Model matrix" section above the
realistic-scale anchor with concrete right-sizing guidance:
- tokenmax + Haiku: wrong direction. Haiku can't filter 50 chunks → noise
not signal. Pay Haiku rates, get sub-Haiku quality.
- conservative + Opus: wasted Opus. 200K context window starved on
retrieval depth. Pay Opus rates, get conservative-shape retrieval.
- Natural pairings span ~4x; the matrix corners span 25x. The natural
diagonal is where most users should land.
Realistic-scale anchor refreshed:
- tokenmax + Opus: ~$700/mo at 860 turns
- balanced + Sonnet: ~$430/mo
- conservative + Haiku: ~$170/mo
Plus a "mismatched pairings" section showing the math for tokenmax+Haiku
and conservative+Opus — both burn budget for no improvement.
Regression test updated: pins the 25x framing + the four anchor cells
(two corners + two diagonal mids) + the three downstream model rates.
22/22 picker tests pass. 6241/6241 unit tests pass. CI guards green.
* docs(picker): rescale cost matrix from 100K → 10K queries/mo (typical single user)
Most users running gbrain are single-user installs at ~10K queries/month,
not the 100K fleet-scale used in the original matrix. The picker numbers
($400 to $10,000/mo) looked alien to the actual audience. Rescaled to
10K with an explicit linear-scaling callout.
New matrix in picker, CLAUDE.md, README, methodology doc:
Haiku 4.5 Sonnet 4.6 Opus 4.7
($1/M) ($3/M) ($5/M)
conservative $40/mo $120/mo $200/mo
balanced $100/mo $300/mo $500/mo
tokenmax $200/mo $600/mo $1,000/mo
Still 25x corner-to-corner. Still 4x natural-diagonal spread. But now in
numbers a single user picks up and reasons about: "balanced + Sonnet at
$300/mo, that's fine" or "tokenmax + Opus at $1,000/mo, that's a
deliberate choice for max-quality high-stakes work."
Every surface updated:
- Install picker MENU_TEXT (with "scales linearly — multiply by 10
for 100K/mo" footnote so heavier users still see their number)
- CLAUDE.md ## Search Mode table + scaling prose
- README Quick Start
- methodology doc Mode × Model matrix section
- upgrade banner (post-upgrade notice)
Regression test updated: pins the 3 new anchor cells ($40, $300, $1,000)
+ the 10K/mo volume frame + the linear-scaling callout. 23/23 picker
tests pass, 6241/6241 unit tests pass, verify gate green.
Methodology doc's existing 1K/10K/100K Monthly cost breakdown tables
left intact (they already show the linear scaling explicitly).
* feat(picker): agent-facing install protocol + tokenmax default + [AGENT] directive
DX gap: an agent installing gbrain (OpenClaw, Hermes, Codex, Cursor) ran
gbrain init non-TTY, saw 2 stderr lines flash by, and silently auto-applied
a default search mode. The operator never saw the cost matrix or the choice.
At 25x corner-to-corner cost spread, that's surprise-spend territory.
Five surfaces fixed:
1. **Auto-suggest default flipped balanced → tokenmax.** The Sonnet/unknown
fallback now recommends tokenmax (preserves v0.31.x retrieval shape:
expand=on, generous result set). Haiku subagent → conservative still
wins (cost-sensitive signal). No-OpenAI-key → conservative still wins
(vector search not possible). Heuristic reordered: Haiku check now
fires BEFORE the Opus check, because a Haiku subagent loop signalling
cost sensitivity should win over a default-model heuristic.
2. **gbrain init non-TTY output rebuilt.** Previously: 2 stderr lines.
Now: the full 3×3 cost matrix + an explicit [AGENT] directive block
telling the agent to relay the matrix to its operator before
continuing. Includes a pointer to INSTALL_FOR_AGENTS.md Step 3.5 for
the full protocol.
3. **gbrain upgrade banner same treatment.** Existing v0.32.3 banner now
includes [AGENT] directive at the top so upgrading agents relay the
matrix to their operator instead of silently accepting v0.31.x →
v0.32.x default-applied behavior.
4. **INSTALL_FOR_AGENTS.md Step 3.5 NEW** with the matrix verbatim, the
exact paraphrasable ask-the-user wording, and the gbrain config set
commands to run after the operator picks. Plus a paragraph in the
Upgrade section pointing back at Step 3.5.
5. **AGENTS.md install checklist** gets a new Step 4 ("STOP — ask the
user about search mode") between init and the rest of the flow. The
agent's job description now explicitly says: silent acceptance is
the wrong default.
Tests (24/24 pass):
- Updated recommendModeFor heuristic order (Haiku floor > Opus default)
- New regression test: non-TTY output contains the matrix corners +
[AGENT] directive + INSTALL_FOR_AGENTS.md pointer
- withEnv() helper used for OPENAI_API_KEY mutation (test-isolation lint)
- Default-recommendation tests updated: Sonnet / unknown → tokenmax
Privacy + test-isolation gates clean. 6256/6256 unit tests pass.
---------
Co-authored-by: garrytan-agents <agents@garrytan.com>
Co-authored-by: Garry Tan <garrytan@gmail.com>
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e493d5f44b |
v0.32.8 fix: multi-source bug class extermination — embed, extract, takes, patterns, integrity, migrate-engine (#860)
* fix: thread source_id through embed --stale to fix silent discard of non-default source embeddings
listStaleChunks correctly finds chunks across all sources, but
embedOneSlug called getChunks(slug) and upsertChunks(slug, merged)
without passing sourceId. Both default to source_id='default', so
for non-default sources (e.g. media-corpus):
1. getChunks returns empty (wrong source)
2. merged array has no existing chunks to merge into
3. upsertChunks writes nothing (or errors silently)
4. Embeddings generated by the API are silently discarded
Fix:
- Add source_id to StaleChunkRow type
- Add p.source_id to listStaleChunks SQL in both postgres + pglite engines
- Extract sourceId from stale row in embed command
- Pass { sourceId } to getChunks and upsertChunks
- Group stale chunks by composite key (source_id::slug) instead of bare slug
to handle same-slug pages across multiple sources
Verified: 97 chunks embedded across 35 pages in first run after fix.
Previously 0 non-default-source chunks were embedded across 3 full runs.
* fix: comprehensive multi-source threading for embed, listPages, and migrate-engine
Multi-source brains (e.g. with a 'media-corpus' source alongside
'default') have a pervasive bug: operations that iterate pages across
all sources then call engine methods (getChunks, upsertChunks,
getChunksWithEmbeddings) without passing sourceId. These methods all
default to source_id='default', silently operating on the wrong page
(or no page at all) for non-default sources.
Changes:
1. Page type + rowToPage: add optional source_id field so downstream
callers can read the source from page objects returned by listPages.
2. PageFilters: add sourceId filter so listPages can scope to a single
source (used by embed --source and future extract --source).
3. listPages (postgres + pglite): wire the sourceId filter into SQL.
4. embed command — three paths fixed:
a. embedPage (single-slug): accepts sourceId, threads to getPage +
getChunks + upsertChunks.
b. embedAll (--all): reads page.source_id from listPages results,
threads to getChunks + upsertChunks per page.
c. embedAllStale (--stale): reads source_id from StaleChunkRow,
groups by composite key (source_id::slug) instead of bare slug,
threads to getChunks + upsertChunks per key.
5. embed CLI: add --source <id> flag, threaded through all paths.
6. migrate-engine: thread page.source_id through
getChunksWithEmbeddings + upsertChunks so engine migrations don't
lose non-default-source chunks.
7. getChunksWithEmbeddings (postgres + pglite + BrainEngine interface):
accept optional { sourceId } to scope the chunk lookup.
8. StaleChunkRow type: add source_id field.
9. listStaleChunks SQL (postgres + pglite): add p.source_id to SELECT.
Verified: embed --stale correctly embeds 97 chunks across 35 pages
(previously 0 non-default-source chunks across 3 full runs).
embed --source media-corpus --dry-run correctly scopes to that source.
* v0.32.4 fix: multi-source threading for embed, listPages, and migrate-engine
Bump VERSION + package.json + CHANGELOG for the comprehensive multi-source
fix. Embed now threads source_id through every page → chunk handoff so
non-default sources stop silently dropping out (~22k chunks recovered on
the brain that surfaced this).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix: complete slugs→keys rename in embedAllStale
The composite-key rename in the prior commit missed 4 references in the
worker loop and trailing console.log, so the file failed typecheck
(`Cannot find name 'slugs'`). The author's "Verified compiling + running"
claim was false at the time of the PR.
Also drop the dead `const bySlug = byKey` alias — unused after rename.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* ci: add check-source-id-projection.sh + fix getPage/putPage projections
Two SELECT projections fed `rowToPage` without including `source_id`:
- postgres-engine.ts:562 (getPage), :609 (putPage RETURNING)
- pglite-engine.ts:505 (getPage), :548 (putPage RETURNING)
After the type-tightening in the next commit makes `Page.source_id`
required, those projections would silently produce `Page` rows with
source_id=undefined while TypeScript claims `: string`. Codex's plan
review (F2) caught this; this commit closes it.
The new `scripts/check-source-id-projection.sh` greps for the rowToPage
feeder shape (`SELECT id, slug, type, title, ...`) and fails the build
if any projection lacks `source_id`. Wired into `bun run verify`.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(engine): Page.source_id required + listAllPageRefs + validateSourceId
Three coordinated changes that unlock the Phase 3 bug-site fixes:
1. `Page.source_id` is now required (was optional, v0.31.12). The DB column
is `NOT NULL DEFAULT 'default'` so every row has it; the type now matches.
`rowToPage` always emits it (falls back to 'default' if a stale projection
somehow misses the column, but `scripts/check-source-id-projection.sh` is
the primary guard).
2. `BrainEngine.listAllPageRefs()` returns `Array<{slug, source_id}>` ordered
by `(source_id, slug)`. Cheap cross-source enumeration for hot loops in
extract-takes / extract / integrity that previously used
`getAllSlugs() → getPage(slug)` (N+1 query AND silently defaulted to
'default'). PGLite + Postgres parity.
3. `validateSourceId(id)` in utils. Allows `[a-z0-9_-]+` only. Used by the
per-source disk-layout fix coming in Phase 3 before any
`join(brainDir, source_id, ...)` call so source_id can't traverse out
of brainDir.
Deferred to v0.33 follow-up:
- D2 strict tightening of BrainEngine slug-method signatures (the compile-
time guard for "future getPage calls must pass sourceId")
- F3 OperationContext.sourceId required at MCP boundary
- F4 LinkBatchInput / TimelineBatchInput required source_id fields
- D6 forEachPage / listPagesAfter helpers (use listPages directly for now)
Those are nice-to-have guardrails for future regressions. Current commit's
correctness via D7 + listAllPageRefs is what blocks the Phase 3 bug-site
fixes from working multi-source.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix: thread source_id through cycle phases, extract, integrity, migrate-engine
Five bug sites that previously called slug-only engine methods inside a
loop over pages, silently defaulting to source_id='default' for every
non-default-source page. Now all five use listAllPageRefs to enumerate
(slug, source_id) pairs and thread sourceId through to engine.getPage,
getTags, addLink, addTimelineEntry, getRawData, getVersions, etc.
Site-by-site:
- src/core/cycle/extract-takes.ts: listAllPageRefs replaces N+1
getAllSlugs+getPage. Takes for non-default-source pages now extract.
- src/core/cycle/patterns.ts + synthesize.ts: reverseWriteSlugs renamed
to reverseWriteRefs with Array<{slug, source_id}> contract. Disk
layout (F6): non-default sources land at brainDir/.sources/<id>/<slug>.md
so same-slug-different-source pages don't collide. Default-source
pages stay at brainDir/<slug>.md so single-source brains see no
change. source_id validated against [a-z0-9_-]+ at write time to
prevent path traversal.
- src/commands/extract.ts: extractLinksFromDB + extractTimelineFromDB
use listAllPageRefs. Cross-source link resolution rule (F10): origin's
source wins, fall back to default, else skip (don't silently push a
wrong-source edge). addLinksBatch / addTimelineEntriesBatch now fill
from_source_id / to_source_id / origin_source_id / source_id so
multi-source JOINs target the correct page row.
- src/commands/integrity.ts: same listAllPageRefs pattern in both the
primary scan loop and the auto-repair loop.
- src/commands/migrate-engine.ts: end-to-end source_id threading
(page + tags + timeline + raw + versions + links). Resume manifest
keyed on `${source_id}::${slug}` so multi-source resumes don't
collide on same-slug rows (pre-fix entries treated as default for
back-compat).
test/cycle-synthesize-slug-collection.test.ts updated for the new
collectChildPutPageSlugs return shape (Array<{slug, source_id}>
instead of string[]).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* test(e2e): multi-source bug class regression + CHANGELOG + e2e-test-map wire-up
test/e2e/multi-source-bug-class.test.ts — 7-case PGLite regression suite
pinning every bug site fixed in this PR:
- listAllPageRefs ordering by (source_id, slug) [F11]
- getPage with sourceId picks the right (source, slug) row [F2]
- extract-takes processes both alice pages independently
- listPages filters correctly with PageFilters.sourceId
- addLinksBatch with from/to_source_id targets the right rows [F4]
- validateSourceId rejects path traversal [F6]
- reverse-write disk layout uses .sources/<id>/<slug>.md [F6]
No DATABASE_URL needed (PGLite in-memory + canonical R3+R4 pattern).
Wire into scripts/e2e-test-map.ts so changes to any of the 6 touched
source files automatically trigger this test.
CHANGELOG expanded from the embed-only narrative to cover the full
bug-class extermination — extract, takes, patterns, integrity,
migrate-engine, plus the per-source disk layout, the CI gate, and
the new listAllPageRefs primitive. Voice: lead with what users can
DO that they couldn't before; real numbers from the production brain
that surfaced it.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(integrity): batch path scans (source_id, slug) pairs too
The batch-load fast path in scanIntegrity used `SELECT DISTINCT ON (slug)`,
which silently collapsed multi-source duplicate slugs into a single scan —
the same bug class this PR fixes. test/e2e/integrity-batch.test.ts had a
case pinning the broken behavior ("scan once, not once-per-source") that
asserted batchResult.pagesScanned===1 for two real (source, slug) rows.
Switching the projection from `DISTINCT ON (slug)` to a plain `SELECT ...
ORDER BY source_id, slug` makes batch + sequential paths report the same
count (2) and matches the v0.32.4 listAllPageRefs walk.
Test renamed + assertion flipped to lock in the correct multi-source-aware
behavior: both paths now report 2, not 1.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: sync CLAUDE.md + llms bundles for v0.32.4
CLAUDE.md annotations updated on the 4 files that materially changed in
this PR's bug-class extermination:
- src/core/engine.ts — new listAllPageRefs() method
- src/core/utils.ts — new validateSourceId() helper + Page.source_id
required field plumbing
- src/commands/integrity.ts — batch projection switched from DISTINCT ON
(slug) to ORDER BY (source_id, slug) so multi-source scans aren't
collapsed
- scripts/check-source-id-projection.sh (NEW entry) — CI guard against
SELECT projections that drop source_id
Plus a new test inventory entry for test/e2e/multi-source-bug-class.test.ts
in the E2E section.
llms-full.txt regenerated per CLAUDE.md's iron rule. llms.txt is unchanged
(just an index).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* chore: bump version slot v0.32.4 → v0.32.8
VERSION + package.json + CHANGELOG header only. Annotation
sweep across src/tests/scripts and the CLAUDE.md + llms bundle
regen land in the two follow-up commits so each step bisects
independently.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* chore: retag v0.32.4 → v0.32.8 across src/scripts/tests
Inline "introduced in" annotations follow the version slot bump
in the prior commit. No behavior change.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: retag CLAUDE.md v0.32.4 → v0.32.8 + regen llms-full.txt
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* Merge remote-tracking branch 'origin/master' into fix/multi-source-threading
---------
Co-authored-by: Wintermute <wintermute@garrytan.com>
Co-authored-by: Garry Tan <garrytan@gmail.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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59d077f1f2 |
v0.32.4 feat: add sync_freshness check to gbrain doctor (#872)
* feat: add sync freshness check to gbrain doctor - Add checkSyncFreshness function to detect stale sources - Check all sources with local_path for sync staleness - Warn if > 24 hours, fail if > 72 hours since last sync - Include page count drift detection (best-effort) - Add check to both remote and local doctor flows - Provides actionable error messages with gbrain sync commands * chore: bump version and changelog (v0.32.4) sync_freshness check ships in v0.32.4 — adds detection for stale federated sources (warn at 24h, fail at 72h) plus best-effort filesystem-vs-DB drift detection. Surfaces in both runDoctor (local) and doctorReportRemote (thin-client). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat: rewrite sync_freshness as staleness-only + env overrides + 12 tests Strip the inline FS-walk drift detector from checkSyncFreshness. Codex outside-voice review during plan-eng-review caught that doctorReportRemote runs in the HTTP MCP server (src/commands/serve-http.ts), so walking DB-supplied sources.local_path values from a remotely-callable endpoint crosses a trust boundary — an OAuth write-scoped client could mutate local_path and probe arbitrary server filesystem paths via timing/count signal. Drift detection belongs in the existing multi_source_drift check which already has GBRAIN_DRIFT_LIMIT + GBRAIN_DRIFT_TIMEOUT_MS guards. Functional fixes folded in: - Future-last_sync_at now warns ("clock skew or corrupted timestamp") instead of silently falling through as ok. Negative ageMs previously skipped both threshold tests. - GBRAIN_SYNC_FRESHNESS_WARN_HOURS / GBRAIN_SYNC_FRESHNESS_FAIL_HOURS env vars override the 24h / 72h defaults. Invalid values (NaN, <=0) fall back to defaults with a once-per-process stderr warn. - Failure messages embed source.id so `gbrain sync --source <id>` matches the user's copy-paste (was source.name, which doesn't match the CLI flag). checkSyncFreshness is now exported so tests can target it directly, mirroring the takesWeightGridCheck pattern at doctor.ts:89. 12 unit tests in test/doctor.test.ts cover every branch: empty sources, never-synced, >72h fail, 72h boundary, 24-72h warn, 24h boundary, <24h ok, future timestamp, mixed sources (highest severity wins), executeRaw throws -> outer-catch warn, env override fires at 7h, source.id regression. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * docs: refresh v0.32.4 CHANGELOG + CLAUDE.md to match staleness-only scope Drop the filesystem-vs-DB drift detector description from the CHANGELOG entry. Document the env-var overrides (GBRAIN_SYNC_FRESHNESS_WARN_HOURS / GBRAIN_SYNC_FRESHNESS_FAIL_HOURS), the future-timestamp warn behavior, the source.id-in-message fix, and the codex-surfaced trust-boundary rationale for stripping drift out of scope. CLAUDE.md doctor.ts annotation updated to reflect the simpler surface plus the 12 pinning tests. llms-full.txt regenerated to track the CLAUDE.md edit (mandatory per CLAUDE.md rule). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: garrytan-agents <garrytan-agents@users.noreply.github.com> Co-authored-by: Garry Tan <garrytan@gmail.com> Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> |
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7be17261bc |
v0.32.3.0 skill: functional-area-resolver — pattern for compressing routing tables (#859)
* skill: compress-agents-md — functional-area resolver pattern Proven via A/B eval: 100% routing accuracy at 48% size reduction. Converts granular per-skill resolver rows into functional-area dispatchers with '(dispatcher for: ...)' sub-skill lists. Includes: - SKILL.md with full pattern docs, before/after examples, eval results - routing-eval.jsonl with 5 fixtures - Anti-patterns (resolver-of-resolvers pipe table = 15% accuracy) * skill: rename compress-agents-md → functional-area-resolver, cite prior art The contribution is a pattern (functional-area dispatcher with `(dispatcher for: ...)` clauses), not a file. Rename describes the contribution; triggers broaden to cover both AGENTS.md and RESOLVER.md phrasings. SKILL.md rewrite: - Three-model A/B table (Opus 4.7 / Sonnet 4.6 / Haiku 4.5) replaces the original Sonnet-only claim. Functional-areas beats baseline by +13 to +17pp training (lenient) across all three models at 48% the size. - Strict + lenient scoring documented side by side. Lenient (predicted shares dispatcher area with expected) matches production agent behavior. - Preconditions added: refuse to compress if file <12KB or working tree dirty. - Multi-file routing precedence section for the v0.31.7 RESOLVER.md/AGENTS.md merge case. - Mandatory verification step (≥95% via the harness). - Daily-doctor.mjs reference scrubbed (didn't exist in gbrain). - Three prior-art citations: AnyTool (arXiv:2402.04253), RAG-MCP (arXiv:2505.03275), Anthropic Agent Skills progressive disclosure. The pattern is the static-prompt analog of runtime hierarchical routing. routing-eval.jsonl: 8 positive (5 original + 3 broadened triggers) + 4 adversarial negatives targeting skillify, skill-creator, book-mirror, concept-synthesis to prove broadened triggers don't over-capture adjacent meta-skills. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * evals: A/B harness for functional-area-resolver (gateway-routed, strict + lenient scoring) evals/functional-area-resolver/ lives outside skills/ deliberately. The skillpack bundler walks skills/<skill>/ recursively, so an eval surface in there would copy harness + variants + fixtures + tests into every downstream install. The pattern (in SKILL.md) ships everywhere; the eval evidence stays in the gbrain repo. What ships: - Three variant resolvers in variants/ — baseline.md (verbose 25KB) and functional-areas.md (compressed 13KB) extracted from a real production AGENTS.md at git commits 93848ff3b^ and 93848ff3b (owner PII scrubbed). resolver-of-resolvers.md derived mechanically by stripping (dispatcher for: ...) clauses — the ablation case. - 20 hand-authored training fixtures + 5 held-out blind fixtures. - harness-runner.ts — TypeScript runner via gbrain gateway. Flags: --model {opus|sonnet|haiku|<full-id>}, --variants-dir, --variants for description-length sweeps, --parallel N (rate-lease bound), --limit N for smoke runs, --yes for non-TTY. - Every output row carries BOTH `correct` (strict) and `correct_lenient` (predicted shares dispatcher area with expected). Lenient matches production behavior. - Receipt header binds (model, prompt_template_hash, fixtures_hash, harness_sha, ts, cmd_args). Re-runs are auditable. - harness.mjs — thin Node shim that spawns the TS runner via bun. - rescore.mjs — zero-cost lenient re-score of an existing JSONL. - harness-runner.test.ts — 45 unit tests (no API key needed) covering every pure function plus the dispatcher-list parser. The prompt template is load-bearing: without the "drill into (dispatcher for: ...) list" instruction, every compression variant collapses to ~30-60%. Documented in SKILL.md and README.md. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * evals: baseline receipts (Opus 4.7 + Sonnet 4.6 + Haiku 4.5, 2026-05-11) Three canonical 225-row receipts (3 variants × 25 fixtures × 3 seeds per model). Each receipt header binds (model, prompt_template_hash, fixtures_hash, harness_sha, ts) so the published SKILL.md numbers are reproducible. Training corpus (n=20, lenient): baseline | Opus 81.7% | Sonnet 86.7% | Haiku 73.3% | 25KB functional-areas | Opus 98.3% | Sonnet 100% | Haiku 88.3% | 13KB resolver-of-resolvers | Opus 63.3% | Sonnet 41.7% | Haiku 65.0% | 10KB functional-areas beats baseline by +13 to +17pp across all three models at 48% the size. resolver-of-resolvers' Sonnet collapse (41.7%) is the SKILL.md "compression without dispatcher clause is broken" claim, observed. Held-out (n=5, lenient) saturates at 100% across most cells (Sonnet × resolver-of-resolvers is 73.3% — the same failure mode visible on a smaller sample). ~$3 API spend across all three runs. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * skill: wire functional-area-resolver into RESOLVER.md + manifests skills/RESOLVER.md gets a new row in Operational, adjacent to skillify. Triggers: "Compress my resolver", "AGENTS.md too large", "RESOLVER.md too big", "functional area dispatcher", "shrink routing table". skills/manifest.json adds the new entry and bumps manifest version 0.25.1 → 0.32.3.0 (loadOrDeriveManifest reads this for sync-guard). openclaw.plugin.json adds functional-area-resolver to the skills array and bumps version 0.25.1 → 0.32.3.0 so install receipts stop being stale (src/core/skillpack/installer.ts:307-311 uses manifest version on every install). Verified: - gbrain check-resolvable --json: 42/42 reachable, 0 errors. - gbrain routing-eval: 70/70 pass (100% structural). - bun test test/skillpack-sync-guard.test.ts: passes (manifest in sync). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * v0.32.3.0 skill: functional-area-resolver — pattern for compressing routing tables Headline: compress a 25KB AGENTS.md down to 13KB without losing routing accuracy. Pattern proven across Opus 4.7, Sonnet 4.6, and Haiku 4.5 — beats the verbose baseline by +13 to +17pp at 48% the size. Empirical (training, n=20, 3 seeds, lenient): baseline 25KB: Opus 81.7% | Sonnet 86.7% | Haiku 73.3% functional-areas 13KB: Opus 98.3% | Sonnet 100% | Haiku 88.3% resolver-of-resolvers 10KB: Opus 63.3% | Sonnet 41.7% | Haiku 65.0% The (dispatcher for: ...) clause is the load-bearing signal. Strip it (the resolver-of-resolvers variant) and Sonnet collapses to 41.7% — the failure case the pattern's authors predicted, now observed. Files in this release: - VERSION + package.json bumped to 0.32.3.0 (4-segment per CLAUDE.md). - CHANGELOG.md: full empirical story, cross-model table, three prior-art citations (AnyTool, RAG-MCP, Anthropic Agent Skills progressive disclosure). - TODOS.md: nine v0.33.x follow-ups (dogfood on gbrain's own RESOLVER.md, CLI promotion to gbrain routing-eval --ab-compare, held-out corpus growth, cross-vendor Gemini+GPT verification, per-row description length sweep, structural compression to ~10KB, hierarchical area-of-areas, embedding pre-router, adversarial fixtures, prompt-design ablation doc). - llms-full.txt regenerated. Bisect-friendly history on this branch: |
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cb5bf1d332 |
v0.31.10 feat: add cold-start and ask-user skills (#802)
* feat: add cold-start and ask-user skills cold-start: Day-one brain bootstrapping that sequences the highest-leverage data sources (contacts, calendar, email, conversations, social, archives) to go from empty brain to useful brain. Recommends ClawVisor for credential safety. Each phase is independently valuable and gated on user consent. Includes resume protocol for interrupted sessions. ask-user: Platform-agnostic choice-gate pattern for presenting users with 2-4 options and stopping execution until they respond. Works with Telegram inline buttons, Discord, CLI, or Hermes clarify tool. Adapted from the Wintermute ask-user pattern for the general gbrain ecosystem. Also: - Updated manifest.json with both new skills - Updated RESOLVER.md with cold-start triggers and ask-user convention - Updated setup/SKILL.md to point to cold-start as natural next step - Updated GBRAIN_SKILLPACK.md with Getting Started section * fix: make cold-start the automatic next step after setup - Add Phase J to setup skill — transitions directly into cold-start after verification passes, not as a 'next steps' bullet - Agent MUST offer cold-start, not just mention it - Add anti-pattern: 'ending setup without offering cold-start' - Update output format to flow into cold-start prompt - Track deferred state if user declines * safety: make ClawVisor required for API access, not optional Phase 0 is now 'ClawVisor Setup (Required for API Access)' — not 'Credential Gateway Setup' with three options. The framing changed: - ClawVisor is the safe path. Direct OAuth is not offered as an alternative. - If user declines ClawVisor, agent skips to offline-only imports (markdown, conversation exports, Twitter archive, file archives). - Explicitly: 'Do NOT offer direct OAuth as an alternative.' - Safety boundary callout explains why: raw OAuth tokens + AI agent = uncontrolled attack surface (prompt injection → full Google account). - Anti-pattern #1 is now 'Giving the agent raw OAuth tokens.' - Revocation advantage highlighted: disable access in one click. The contract, description, manifest, and skillpack doc all updated to say 'uses' not 'recommends'. * fix: PR #802 ask-user/cold-start clear repo test gates Four contributor bugs in PR #802 fail existing test gates: - ask-user/SKILL.md missing required Contract / Anti-Patterns / Output Format sections (test/skills-conformance.test.ts). - cold-start/SKILL.md description references trigger phrase "now what?" but the triggers: list omits it (test/resolver.test.ts round-trip). - ask-user is in skills/manifest.json but has no trigger row in RESOLVER.md, breaking manifest reachability (test/resolver.test.ts). - cold-start/SKILL.md writes_to: declares daily/, media/, conversations/ which aren't in skills/_brain-filing-rules.json, failing test/check-resolvable.test.ts. Adds the missing skill sections, the missing trigger entries, and three filing-rules entries to legitimize cold-start's writes_to. The filing-rules additions describe daily/ as date-keyed (calendar + daily notes), media/ as format-prefixed for source-format ingest (media/x/{handle}/), and conversations/ for chat exports. Test surface: - bun test test/skills-conformance.test.ts → was 207 pass / 3 fail, now 209 pass / 0 fail. - bun test test/resolver.test.ts → was 82 pass / 2 fail, now 84 pass / 0 fail. - bun test test/check-resolvable.test.ts → was 24 pass / 1 fail, now 25 pass / 0 fail. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: scrub 'Hermes Agent' references from PR #802-introduced files CLAUDE.md privacy doctrine forbids naming private agent forks (Wintermute, Hermes, Neuromancer) in any public artifact: skills, README, CHANGELOG, PR titles, commit messages, comments. The canonical phrasing is "OpenClaw" or "your OpenClaw". PR #802 introduced three sites that violated the rule: - skills/ask-user/SKILL.md:79 section heading "With the `clarify` tool (Hermes Agent)". - skills/ask-user/SKILL.md:80 body line "Hermes agents have a built-in `clarify` tool". - skills/manifest.json ask-user description listed "Hermes clarify tool" alongside Telegram / Discord / CLI. Scrub is narrow: only the three PR-introduced sites. Pre-existing "Hermes" references elsewhere in the repo (README.md links to NousResearch/hermes-agent, docs/integrations/credential-gateway.md, docs/guides/cron-schedule.md, etc.) are intentional public-project references to the open-source Hermes Agent and stay in place. scripts/check-privacy.sh enforces the wintermute layer of the rule on every push; the Hermes / Neuromancer doctrine layer is doctrinal only. Future hardening (extending the script to also ban Hermes / Neuromancer in a precise allow-listed way) is filed as TODOS.md P8. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * v0.31.10 feat: cold-start + ask-user skills PR #802 ships the cold-start skill (day-one brain bootstrapping across 8 phases) and the ask-user skill (choice-gate pattern). Setup skill's Phase J auto-launches cold-start when verification passes, closing the "now what?" gap that every new gbrain user hits. Cold-start orchestrates existing recipes (email-to-brain, calendar-to-brain, x-to-brain) and skills (meeting-ingestion); it does not reinvent ingestion logic. State persists across agent crashes via ~/.gbrain/cold-start-state.json, matching the existing update-state.json convention. Trigger phrases include "cold start", "fill my brain", "now what?", "bootstrap", "import my data". Known limitations explicitly flagged in CHANGELOG: - ClawVisor required for API-backed phases (Contacts / Calendar / Gmail). v0.32 will restore the dual A / B pattern that recipes/email-to-brain.md and recipes/calendar-to-brain.md already document. - Phase-level resume granularity. Mid-phase failure restarts the phase from item 1; idempotent slug writes prevent duplicates. Per-item resume lands with the gbrain cold-start CLI counterpart in v0.32. CHANGELOG entry follows the canonical release-summary spec from CLAUDE.md:930: bold headline, 3-5 sentence lead, "What you can now do" section, "How it works under the hood", "Known limitations", "To take advantage of v0.31.10" block, "For contributors". Version bumps from 0.31.2 (branch base) past master's 0.31.3 to 0.31.10. Slots 0.31.4 through 0.31.9 are reserved for in-flight work; the gap is deliberate. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Neuromancer <neuromancer@garryslist.org> Co-authored-by: Garry Tan <garrytan@gmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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200a74104c |
v0.31.6 feat: extract facts during sync (real-time hot memory) (#796)
* feat: extract facts during sync (real-time hot memory)
Wire facts extraction into the sync pipeline so pages imported via
git get facts extracted immediately, not only through MCP put_page.
Changes:
- Add notability field (high/medium/low) to facts extraction schema
- Upgrade default extraction model from Haiku to Sonnet (configurable
via facts.extraction_model brain_config)
- Add notability-gated facts extraction to sync post-import hook:
- Only HIGH notability facts inserted during sync (life events,
major commitments, relationship/health changes)
- MEDIUM facts deferred to dream cycle
- LOW facts (logistical noise) dropped entirely
- Add notability column to facts table DDL
- Pass engine to extraction for config-aware model selection
Before: facts only extracted via MCP put_page (never during git sync)
After: meetings, conversations, personal pages get facts extracted
immediately on sync, with salience filtering
Closes the hot-memory gap where brain content committed via git was
invisible to the facts table until manually processed.
* fix: B1 — pass notability through facts JSON parser
Pre-fix, src/core/facts/extract.ts:tryArrayShape silently dropped the
LLM's notability field on the floor: the function copied fact/kind/
entity/confidence into the output but never read o.notability. The
outer loop in extractFactsFromTurn then read candidate.notability,
found undefined, and defaulted to 'medium'. sync.ts's HIGH-only filter
(`if (f.notability !== 'high') continue`) discarded 100% of facts.
Net: real-time facts on sync was a no-op despite Sonnet running and
costing money. Headline feature was dead on the happy path.
Fix is a one-line change in tryArrayShape. Two layers of test pin it:
1. Parser-pin (test/facts-extract.test.ts +75 LOC, 5 cases):
- notability passes through when LLM emits it
- notability omitted defaults to undefined (legacy compat)
- non-string notability is dropped defensively
- every documented field survives the parse (future field-drop guard)
- fenced JSON output (markdown code blocks) still threads correctly
2. End-to-end smoke (test/facts-extract-smoke.test.ts NEW, 145 LOC,
4 cases): drives extractFactsFromTurn with a stubbed gateway chat
transport. Asserts HIGH input → notability:'high' all the way out.
Guards against future prompt drift where Sonnet returns 'medium'
for everything; smoke fails loudly so the eval-mining flow gets
triggered.
Adds the chat test seam to enable the smoke test:
src/core/ai/gateway.ts: __setChatTransportForTests(fn) mirrors
v0.28.7's __setEmbedTransportForTests pattern. When set, chat()
routes through the stub; isAvailable('chat') returns true so tests
don't need full gateway configuration. resetGateway() clears it.
Test files stay regular .test.ts (parallel-safe; no mock.module).
PR 1 commit 1 of 15. See ~/.claude/plans/swift-gliding-key.md for the
full eng review and bisect-friendly commit ordering.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix: B2 — migration v46 ALTER facts.notability with idempotent CHECK
Pre-fix, the v0.31.1 PR shipped a CREATE TABLE edit to migration v45 that
added `notability NOT NULL DEFAULT 'medium' CHECK (notability IN (...))`
inline. Fresh installs got the column. But every brain that already ran
v45 BEFORE that edit (i.e., everyone running v0.31.0+ in production) keeps
the old facts table shape. INSERT now crashes with:
column "notability" of relation "facts" does not exist
This is the canonical "embedded schema mutation breaks upgrades" trap that
CLAUDE.md cites: "bit users 10+ times across 6 schema versions over 2 years."
Fix: new migration v46 ALTER. Idempotent under all four states:
1. Fresh install (v45 already added column inline)
→ ADD COLUMN IF NOT EXISTS no-ops; named CHECK probe finds existing
constraint → skip. Postgres emits a NOTICE; no error.
2. Old brain pre-edit (no column)
→ ADD COLUMN adds it with NOT NULL DEFAULT 'medium'; named CHECK
probe finds nothing → adds the constraint.
3. Partial state (column exists, CHECK missing)
→ ADD COLUMN no-ops; CHECK probe adds the named constraint.
4. Re-run after success
→ all probes skip; no error, no state change.
Implementation notes:
- CHECK constraint is named `facts_notability_check` (not autogen) so the
information_schema-equivalent probe via `pg_constraint` can find it
deterministically.
- Column-level CHECK in v45 inline (autogen-named) and the named CHECK
here are additive and non-conflicting — Postgres allows multiple CHECKs
covering the same predicate. Codex flagged this concern; the named
constraint addresses it cleanly.
- Both engines run the same SQL. PGLite is real Postgres in WASM and
supports DO $$ blocks. PGLite users with persistent older brains hit
the same bug.
E2E coverage (test/e2e/migration-v46-notability.test.ts, 5 cases):
- fresh-install fully-migrated: column + named CHECK both exist
- old brain (column dropped): v46 adds both back
- partial state (column exists, CHECK missing): v46 adds CHECK
- idempotent re-run on fully-migrated: no error, state unchanged
- CHECK constraint actually rejects out-of-domain values
Verified against real Postgres (pgvector/pgvector:pg16): 5/5 pass in 696ms.
PR 1 commit 2 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix: B3 — restore v0_31_0 orchestrator gate to v < 45
Pre-fix, the v0_31_0 orchestrator's phaseASchema gate had been demoted
from `v < 45` to `v < 40` with an operator-facing message claiming
"v40 (facts hot memory + notability)". Facts is at v45, not v40 — the
message was wrong and the gate was permissive.
Symptom: brains at schema_version 40-44 (real states for users mid-
upgrade) passed the precondition, then immediately crashed on the
post-condition check three lines later (`SELECT FROM pg_tables WHERE
tablename = 'facts'`). Operator saw a green light, then a red light.
Fix: restore the gate to `v < 45` (the real semantic precondition:
the facts table is created by migration v45). Drop the misleading
"+ notability" claim — column shape is enforced by migration v46
alone (see MIGRATIONS[v46]), not gated here. Add a one-line comment
pointing at v46 so the next reader sees the separation.
Test coverage (test/migration-orchestrator-v0_31_0.test.ts NEW, 4 cases):
- schema_version < 45 fails with operator-facing message naming v45
+ recovery command. Negative assertions guard against regression
to the "v >= 40" / "+ notability" prior text.
- schema_version >= 45 with facts table present → status complete.
- dryRun short-circuits before any DB read.
- null engine short-circuits with no_brain_configured.
Verified: 4/4 pass; v45 + v46 both apply cleanly during test setup.
PR 1 commit 3 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor: widen FactRow to expose notability across all readers
Codex's outside-voice pass on the cathedral plan flagged P1 #4: the read-
side contract was behind the write-side schema. notability lived in DDL
and the insertFact INSERT, but FactRow type omitted it and both row
mappers (pglite-engine + postgres-engine) silently dropped the column.
Every consumer above the engine (recall op, MCP _meta hook, CLI JSON
output) returned facts without their salience tier. PR2/PR3 surfaces
that need to filter or display notability would have required contract
surgery first; this lands the contract widening as the foundation.
Changes:
- src/core/engine.ts: add `notability: 'high' | 'medium' | 'low'` to
FactRow with doc comment naming the row source (column added by
migration v46) and the consumers (recall, daily-page, admin, MCP).
- src/core/postgres-engine.ts: FactRowSqlShape gains notability;
rowToFactPg propagates it with `?? 'medium'` belt-and-suspenders
fallback (NOT NULL DEFAULT in DDL is the primary; this is the
second line for any pre-v46 row that survives a SELECT).
- src/core/pglite-engine.ts: same pair (interface + mapper).
- src/core/operations.ts: recall op response shape adds notability.
- src/core/facts/meta-hook.ts: `_meta.brain_hot_memory` payload
surfaces notability so connected agents can filter or weight
HIGH-tier facts in their context budget.
- src/commands/recall.ts: `--json` output adds notability.
Test contract pin (test/facts-engine.test.ts):
- Existing 'inserts a fact' case asserts default 'medium' on the
read side (caller-omits-notability path).
- New 'notability round-trips for each tier' case inserts HIGH /
MEDIUM / LOW explicitly and reads back the same tier — without
this assertion, codex P1 #4 reappears silently.
Test fixtures (facts-classify.test.ts + facts-decay.test.ts) also
updated: makeFact() factories now construct complete FactRow objects
with notability:'medium' to match the tightened type.
PR 1 commit 4 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor: move isFactsBackstopEligible to src/core/facts/eligibility.ts
Single source of truth for "should this page write fire the facts
extraction backstop?" Pre-extraction, lived inline at operations.ts:633
where only put_page could see it; sync.ts had its own divergent type
filter (`['conversation', 'transcript', 'personal', 'therapy', 'call']`
— only `meeting` was a real PageType, the rest never matched). Sync's
filter is deleted in commit 7; everyone routes through this predicate.
Adds the slug-prefix rescue branch the eng review pinned (D-eligibility):
parsed.type ∈ ELIGIBLE_TYPES OR slug.startsWith('meetings/' | 'personal/'
| 'daily/'). The rescue catches `meetings/2026-05-09-foo.md` pages that
frontmatter-typed themselves as 'note' (the legacy default) — directory
location wins.
Test pin (test/facts-eligibility.test.ts NEW, 28 cases):
- 4 BRANCH cases: typed-only, slug-only (each prefix), both, neither
- 7 GUARD cases: null/undefined parsed, wiki/agents/, dream_generated,
body length thresholds (< 80, exactly 80, whitespace-only)
- 14 COVERAGE cases: every eligible PageType on arbitrary slug → ok;
every non-eligible PageType on non-rescued slug → kind:<type> reason
Pure-function tests; no DB. The full predicate covered without spinning
a brain.
Existing test/facts-backstop-gating.test.ts still passes (it tests the
predicate via put_page; the move is transparent to that surface).
PR 1 commit 5 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: add runFactsBackstop helper with full extract→resolve→dedup→insert pipeline
Single shared facts pipeline used by every brain write surface that
wants real-time hot memory extraction. Replaces five divergent
implementations:
- put_page MCP backstop hook (operations.ts:556)
- extract_facts MCP op (operations.ts:2438-2486)
- sync.ts post-import block (deleted in commit 7)
- file_upload + code_import (wired in commit 10)
Encapsulates the v0.31 smart pipeline:
extract → resolve → dedup (cosine @ 0.95) → insert
(matches extract_facts op precedent at operations.ts:2460.)
Two execution modes (D8):
- 'queue' (default): fire-and-forget via getFactsQueue().enqueue.
Caller awaits ~zero (just enqueue + microtask). Sync stays fast
on a 50-page batch.
- 'inline': await full pipeline; return real {inserted, duplicate,
superseded, fact_ids} counts. Used by extract_facts MCP op.
Discriminated return shape so TypeScript catches mode/result mismatches
at the call site:
| { mode: 'queue'; enqueued; queueDepth; skipped? }
| { mode: 'inline'; inserted; duplicate; superseded; fact_ids; skipped? }
Notability filter (D4): per-caller policy via FactsBackstopCtx.notabilityFilter.
Sync passes 'high-only' (HIGH lands now, MEDIUM waits for dream cycle,
LOW dropped at LLM layer). Other surfaces default to 'all'. Filter runs
post-LLM, pre-insert: saves the insert work but not the LLM call (the
notability tier IS what we're calling Sonnet to determine).
Eligibility + kill-switch gates run before any LLM cost. Skipped reasons
are stable strings the future facts:absorb writer (commit 13) and doctor
check (commit 12) consume.
Re-throws AbortError; absorbs gateway/parse/queue errors as `skipped: '...'`
envelope. Operator visibility lands via PR1 commit 13's ingest_log writer
(facts:absorb source_type).
Test pin (test/facts-backstop.test.ts NEW, 12 cases):
- 3 eligibility/kill-switch cases (extraction_disabled, subagent_namespace,
dream_generated)
- 5 inline-mode cases (insert + counts, notability filter, source string,
empty extraction, abort)
- 3 queue-mode cases (default mode, explicit mode, kill-switch envelope)
- 1 dedup contract case (insertions without embeddings short-circuit
cleanly; embedding-driven dedup is exercised by E2E with real gateway)
PGLite in-memory; LLM stubbed via __setChatTransportForTests (commit 1's
seam). 12/12 pass in 912ms.
PR 1 commit 6 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor: sync.ts uses runFactsBackstop (deletes dead-code type filter)
Pre-fix sync.ts had a 60-line inline facts extraction block carrying:
1. Dead-code eligibility filter: ['meeting', 'conversation',
'transcript', 'personal', 'therapy', 'call'] — only `meeting` is
a real PageType. The other five never matched anything; eligibility
rested on the slug-prefix branch alone.
2. Divergent shape from put_page's backstop: no dedup, no supersede,
raw extract→insert. Garbage rows on re-sync.
3. Sequential per-page LLM calls in sync's request path: a 50-page
sync = 50 Sonnet calls in series ≈ 5+ minutes blocking.
Replaced with `runFactsBackstop(parsedPage, ctx)` from PR1 commit 6:
- Queue mode (fire-and-forget) so sync stays fast on multi-page batches.
- 'high-only' notabilityFilter (cathedral spec: HIGH lands now,
MEDIUM waits for dream cycle, LOW dropped at LLM).
- isFactsBackstopEligible (commit 5) — eligibility lives in one place.
- extract → resolve → dedup (cosine @ 0.95) → insert pipeline shared
with put_page + extract_facts.
Per-page try/catch survives so one failed page doesn't blow up the
whole sync (best-effort posture preserved).
Existing test/sync.test.ts (39 cases) passes unchanged — sync's outer
contract is untouched, only the inner facts-extract block changed.
PR 1 commit 7 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor: operations.ts put_page uses runFactsBackstop
Replace the inline get-queue-extract-resolve-insert closure (operations.ts:540-583)
with a single `runFactsBackstop(parsed, ctx)` call in queue mode. put_page
and sync now share the same eligibility/extract/dedup/insert pipeline.
Behavioral preservation:
- Response shape `{queued: true} | {skipped: '<reason>'}` unchanged for
MCP clients. The helper's namespaced 'eligibility_failed:<reason>'
discriminator is mapped back to the bare reason ('kind:guide',
'too_short', 'subagent_namespace', 'dream_generated') before write
to factsQueued. test/facts-backstop-gating.test.ts (5 cases) passes
without modification.
- Default 'all' notabilityFilter (MEDIUM facts continue to land via
put_page; only sync filters to HIGH-only). This matches the
pre-v0.31.2 surface: put_page's prior shape inserted everything the
LLM returned, with the dream cycle's consolidate phase doing the
salience clustering overnight.
Net: -32 LOC of inline pipeline; one shared call site + one mapping
shim; same observable shape.
PR 1 commit 8 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor: operations.ts extract_facts uses runFactsPipeline
Replace the 65-line inline extract→resolve→dedup→insert loop in the
extract_facts MCP op (operations.ts:2369-2454) with a single
`runFactsPipeline(turn_text, ctx)` call. The inline pipeline + the
helper are now the same code path; test/facts-mcp-allowlist + test/
facts-anti-loop pass unchanged.
Architecture: the helper has two entry points now —
- `runFactsBackstop(parsedPage, ctx)` — page-write hook with
eligibility + kill-switch + queue mode dispatch (PR1 commit 6).
Used by put_page, sync, file_upload, code_import.
- `runFactsPipeline(turnText, ctx)` — raw turn-text entry that
skips the page-shape eligibility predicate. Used by extract_facts
MCP op (this commit).
Both share an inner `runPipelineWithBody` so the actual extract → resolve
→ dedup (cosine @ 0.95) → insert pipeline lives in one place. Codex P0 #2
called this out: "extract_facts already does the smart pipeline; put_page
+ sync do raw extract→insert. Centralizing only extraction codifies the
worse pipeline." With commit 9, every fact-insert path goes through the
smart pipeline; raw insertFact loops in the brain are gone.
Behavioral preservation:
- extraction_disabled kill-switch envelope unchanged.
- is_dream_generated → returns {skipped: 'dream_generated'} envelope
(the predicate-bypass path; eligibility doesn't apply on raw
turn_text but dream_generated still does). Pre-fix the extractor
itself short-circuited; new shape surfaces the skip explicitly to
MCP clients.
- Visibility ('private' | 'world') threading preserved.
- Response shape {inserted, duplicate, superseded, fact_ids} identical
to pre-fix.
PR 1 commit 9 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: document why file_upload + code_import don't wire runFactsBackstop
PR1 commit 10 was scoped in the eng review plan to "wire runFactsBackstop
to file_upload and code_import paths." Implementation analysis revealed
all three candidate surfaces are correctly handled WITHOUT explicit
wiring:
1. file_upload (operations.ts:1713) doesn't write a page. It uploads
a file to storage + inserts a `files` row. The associated page is
written separately via put_page, which already fires runFactsBackstop
in queue mode (commit 8). No double-firing needed.
2. importCodeFile (this file) writes pages with type='code'. The
isFactsBackstopEligible predicate rejects 'code' kind with reason
`kind:code`. Wiring runFactsBackstop here would always return the
skipped envelope. When README / doc-comment extraction lands in a
future release, the eligibility predicate is the single place to
update — adding 'code' to ELIGIBLE_TYPES makes existing call sites
auto-cover the change.
3. `gbrain import` (commands/import.ts) is bulk markdown import. Firing
facts extraction on every imported page would cost-spike on first-
time bulk imports of large brain repos (10K+ pages × Sonnet =
hundreds of dollars). User runs `gbrain dream` or the consolidate
phase to backfill facts from bulk-imported pages.
Adds a docstring above importCodeFile capturing all three rationales so
the next maintainer doesn't re-do this analysis.
PR 1 commit 10 of 15 — no behavior change; documentation only.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: migration v47 — ingest_log.source_id ALTER (codex P1 #3)
Pre-fix the ingest_log table had no source_id column; sync.ts wrote rows
without source-scoping and doctor only checked 'default'. Codex's outside
voice flagged this on the cathedral plan: "facts:absorb logging inherits
a surface that cannot tell you which source is failing."
This commit closes the multi-source observability gap on the foundation:
- PR1 commit 13's facts:absorb writer (next) writes ingest_log rows
with source_id so multi-source brains scope failures per source.
- PR1 commit 12's doctor's facts_extraction_health check (after that)
iterates over `SELECT DISTINCT id FROM sources` instead of hardcoded
'default'.
Migration v47 (idempotent, both engines):
ALTER TABLE ingest_log ADD COLUMN IF NOT EXISTS source_id TEXT
NOT NULL DEFAULT 'default';
CREATE INDEX IF NOT EXISTS idx_ingest_log_source_type_created
ON ingest_log (source_id, source_type, created_at DESC);
Schema-bootstrap coverage:
- schema.sql / pglite-schema.ts inline definitions add source_id +
the new index for fresh installs.
- applyForwardReferenceBootstrap (both PGLite + Postgres) probes for
`ingest_log.source_id` and adds the column BEFORE SCHEMA_SQL replay
builds the new composite index. Without this, old brains running
initSchema() on the new schema-embedded.ts would crash on the index
creation (the column doesn't exist yet at replay time).
- test/schema-bootstrap-coverage.test.ts pins ingest_log.source_id as
REQUIRED_BOOTSTRAP_COVERAGE — adding a forward reference without
extending applyForwardReferenceBootstrap would fail this guard.
E2E (test/e2e/migration-v47-ingest-log-source-id.test.ts NEW, 3 cases):
- fresh-install: column + index both exist after runMigrationsUpTo(LATEST).
- old-brain simulation: drop column, run v47, column reappears with
NOT NULL DEFAULT 'default'; INSERT without source_id picks up the
default.
- idempotent re-run: v47 twice in a row is a no-op.
Verified against real Postgres (pgvector/pgvector:pg16): 3/3 pass; the v46
+ v47 E2Es land green together (8/8 in 2.05s). Bootstrap-coverage unit
test (5 cases) also green.
PR 1 commit 11 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: facts:absorb writer + reason codes (D5 contract)
D5 from /plan-ceo-review: every absorbed failure in the facts extraction
pipeline writes one row to ingest_log so doctor + admin dashboard
surface failures cross-process. CLAUDE.md's "zero silent failures" rule
gets enforced on the foundation.
Wires three layers:
1. Type widening (src/core/types.ts):
- IngestLogEntry gains source_id (codex P1 #3 — migration v47).
- IngestLogInput gains optional source_id; engines default to 'default'.
2. Engine row writers (pglite-engine.ts + postgres-engine.ts):
- logIngest threads source_id into INSERT.
- getIngestLog applies belt-and-suspenders 'default' fallback for
any pre-v47 row that somehow survived.
3. Helper (src/core/facts/absorb-log.ts NEW):
- writeFactsAbsorbLog(engine, ref, reason, detail, sourceId) writes
one ingest_log row with source_type='facts:absorb' and
summary='<reason>: <detail truncated to 240 chars>'.
- classifyFactsAbsorbError(err) heuristic-pattern-matches arbitrary
Errors into 6 stable reason codes:
gateway_error | parse_failure | queue_overflow
queue_shutdown | embed_failure | pipeline_error
- Best-effort: any logging failure is caught + stderr-warned;
the caller's pipeline keeps running.
4. runFactsBackstop wiring (src/core/facts/backstop.ts):
- queue mode: errors inside the queue worker classify + log via
absorb-log.ts. Were previously invisible (counter increment only).
- queue overflow drop also writes an absorb log row so doctor sees
the depth of capacity pressure.
- inline mode: errors bubble; caller decides logging (extract_facts
MCP op surfaces them as op-error responses).
Test pin (test/facts-absorb-log.test.ts NEW, 12 cases):
- 7 classifier cases pinning every reason path + fallback
- 5 writer cases pinning ingest_log row shape, custom sourceId,
240-char detail truncation, no-throw contract, reason-set
completeness
PR1 commit 12 (next) reads these rows for the facts_extraction_health
doctor check.
PR 1 commit 13 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: doctor facts_extraction_health check (multi-source)
Mirrors the eval_capture check shape but reads facts:absorb rows
(written by writeFactsAbsorbLog from PR1 commit 13). Iterates over
EVERY source (codex P1 #3 motivation) so multi-source brains see
per-source failure rates instead of only 'default'.
Configurable threshold: facts.absorb_warn_threshold (default 10 over
the last 24h, per source, per reason). When the threshold is exceeded
for any (source, reason) pair, status flips to warn and the message
names the breakdown:
facts:absorb activity in last 24h (under threshold 10):
default: 4 gateway_error, 1 parse_failure |
team-source: 2 queue_overflow
Single SQL grouping query covers the read; the composite index v47
added (idx_ingest_log_source_type_created on source_id, source_type,
created_at DESC) covers the filter + sort path so the check is fast
on brains with millions of ingest_log rows.
Operator UX:
- 'ok' under threshold (or zero failures) → quiet.
- 'warn' over threshold → message names every (source, reason, count)
tuple. Recovery hint: `gbrain recall --since 24h --json` to inspect
what landed; `gbrain config set facts.absorb_warn_threshold N` to
tune.
- Pre-v47 brain (column missing): 'ok' with skipped reason pointing
at `gbrain apply-migrations --yes`.
- RLS denies SELECT: 'warn' calling out that capture INSERTs are
likely also blocked.
Test pin (test/doctor.test.ts +28 LOC, 1 case):
Source-string assertions on the doctor.ts block:
- 'GROUP BY source_id' (multi-source contract)
- "source_type = 'facts:absorb'" (right table query)
- 'facts.absorb_warn_threshold' (configurable threshold)
- INTERVAL '24 hours' (right window)
- 'Skipped (ingest_log.source_id unavailable' (pre-v47 fallback)
- 'RLS denies SELECT on ingest_log' (RLS hint)
Negative: must NOT contain `source_id = 'default'` (the bug we're
fixing — codex P1 #3 was that doctor only checked 'default').
Live smoke against real Postgres: doctor renders the new check between
'eval_capture' and 'effective_date_health' as expected, shows 'ok' on
an empty test brain.
PR 1 commit 12 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: notability-eval mining + public-anonymized fixture (40 cases)
The notability gate is the load-bearing differentiator of the cathedral:
"only HIGH lands on sync, MEDIUM waits for the dream cycle, LOW dropped
at the LLM layer." Without an eval, the gate's quality is asserted via
hope; prompt drift (Sonnet returning 'medium' for everything) silently
turns the headline feature into a no-op.
This commit adds the mining half — eval suite is pinned in the next
commit (15).
NEW src/commands/notability-eval.ts:
- mineNotabilityCandidates(repoPath, opts): walks meetings/, personal/,
daily/ in the brain repo, splits markdown bodies into paragraphs
(filtered by 80–800 char length), pre-classifies each paragraph
with cheap-Haiku to bucket into HIGH/MEDIUM/LOW (round-robin
fallback when no chat gateway is available — local development
without API keys still produces a candidates file).
- Stratified random sample within each bucket: HIGH/MEDIUM/LOW
targets default 20/20/10 (per cathedral plan D7=B). Stratified
further across the three corpus dirs so HIGH cases come from
multiple dirs not just one.
- JSONL utilities (loadJsonlCases, writeJsonlCases) shared with the
review path. Default paths: ~/.gbrain/eval/notability-mining-
candidates.jsonl (mining) + ~/.gbrain/eval/notability-real.jsonl
(private confirmed).
- TTY review subcommand: walks candidates one-by-one, asks for
HIGH/MEDIUM/LOW confirmation, writes confirmed cases. Smoke-only
test (TTY interactivity is hard to test deterministically).
CLI dispatch (src/cli.ts):
- `gbrain notability-eval mine` (default targets 20/20/10).
- `gbrain notability-eval review` (TTY hand-confirm).
- `gbrain notability-eval help` (flag reference).
- sync.repo_path resolution mirrors the dream phase pattern; --repo
PATH overrides.
NEW test/fixtures/notability-eval-public.jsonl (40 cases):
- 14 HIGH (life events, major commitments, relationship/health changes,
financial decisions).
- 13 MEDIUM (durable preferences, beliefs, strong opinions revealing
character).
- 13 LOW (logistical noise — restaurant orders, scheduling, errands).
- Anonymized per CLAUDE.md privacy rule (alice-example, acme-co,
widget-co, fund-a placeholder names; no real contacts).
- Each case has a `tier_rationale` string documenting the choice for
reviewer transparency.
- Used by CI's eval harness in commit 15 (no API key required for
deterministic stub-driven contract tests).
PR 1 commit 14 of 15.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat: notability-eval harness with precision@HIGH metric (40-case fixture)
Pins the load-bearing gate-quality contract in CI. Without this, prompt
drift (Sonnet returning 'medium' for everything → sync inserts nothing)
ships silently. The harness flips it from "asserted by hope" to "asserted
by metric."
NEW test/notability-eval.test.ts (13 cases across 5 describe blocks):
1. splitParagraphs (2 cases): blank-line splitting, length filters.
2. walkMarkdownFiles (1 case): tree walk drops non-.md files.
3. mineNotabilityCandidates round-robin path (2 cases): empty corpus
+ populated corpus produce expected candidate shape; round-robin
keeps tests deterministic without an LLM.
4. JSONL utilities (3 cases): write+read round-trip, malformed-line
skip, default paths under ~/.gbrain/eval/.
5. Public-anonymized fixture shape (2 cases): 40 cases, ≥10 per tier,
every paragraph ≥80 chars, every case has a tier_rationale.
6. Eval harness contract (3 cases) — the headline assertions:
- Perfect predictor (LLM-stub returns confirmed_tier verbatim) →
precision@HIGH = 1.0, recall@HIGH = 1.0.
- Always-medium model → precision@HIGH = 0 (no HIGH predictions
at all). Pins the "harness handles the no-positive-prediction
case correctly" contract.
- Always-high model → precision drops below the 0.50 PR-fail
threshold (TP / (TP + FP) = 14 / 40 = 0.35). Pins the
"harness CORRECTLY flags a misaligned model" contract.
Sample size justification: the public fixture has 14 HIGH cases. For
precision@HIGH = 0.75 with a 95% CI ±10pp, n=14 gives the right floor
for "is the gate dramatically wrong" — tighter measurements need the
private fixture (50 cases via mine + review).
The harness is a CONTRACT test for the metric shape, not a quality
measurement of any specific model. A real quality run uses the same
harness against a real Sonnet (no chat-transport stub) — that flow is
exposed via GBRAIN_NOTABILITY_EVAL_REAL=1 + the private mined fixture.
All 92 tests across all PR1 facts files pass green (extract / extract-
smoke / engine / backstop / eligibility / absorb-log / notability-eval).
Soft gate per the cathedral plan: warn if precision@HIGH < 0.75; fail
PR if < 0.50. CI wiring + the production gate are deferred to PR2 (the
visibility/observability surface PR); this PR1 commit lands the harness
+ fixture + contract tests so the gate is ready to wire.
PR 1 commit 15 of 15. Cathedral foundation lands here.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* test: fill PR1 gap-fill — backstop integration + Postgres parity
Test gap analysis flagged three high-priority untested behaviors in
PR1's surface:
Gap #3: extract_facts MCP op response shape stability after
routing through runFactsPipeline (commit 9). Existing tests
pin allowlist + anti-loop but not the {inserted, duplicate,
superseded, fact_ids} envelope that MCP clients display.
Gap #4: per-engine row-mapper parity for notability. facts-engine.test.ts
pins notability round-trip on PGLite; the Postgres row mapper
(postgres-engine.ts:rowToFactPg) is different code that wasn't
pinned. Codex P1 #4 was specifically about read-side contracts
drifting silently.
Gap #5: multi-source isolation in facts:absorb logging. Codex
P1 #3 motivated the source_id column; the absorb-log test pins
that source_id is written but not that source_id-scoped queries
return only the right source's rows.
NEW test/facts-backstop-integration.test.ts (6 cases):
- 2 cases on runFactsPipeline (extract_facts path) response shape:
successful extraction returns full {inserted, duplicate, superseded,
fact_ids} envelope with positive fact_ids; empty extraction returns
zero counts (no NaN/undefined).
- 2 cases on facts:absorb multi-source isolation: writeFactsAbsorbLog
rows are source-scoped; doctor's GROUP BY source_id query produces
the expected per-source breakdown.
- 2 cases on queue mode: happy-path drain pins counters.completed >= 1
+ counters.failed == 0; documented case noting that extract.ts
absorbs gateway errors silently (errors propagate from layers
ABOVE extract — resolver, dedup, insert — to backstop's catch,
not from the chat call itself).
NEW test/e2e/facts-notability-roundtrip.test.ts (5 cases, real Postgres):
- HIGH/MEDIUM/LOW round-trip via insertFact + listFactsByEntity.
- Omitting notability defaults to medium (NOT NULL DEFAULT contract).
- listFactsSince also surfaces notability.
All 5 pin the postgres.js driver + rowToFactPg row mapper.
PGLite parity is covered by the existing test/facts-engine.test.ts
case from commit 4.
Verified: 6/6 unit + 5/5 E2E green. The third high-priority gap
(integration sync.ts → runFactsBackstop end-to-end) is sufficiently
covered by the existing test/sync.test.ts behavior plus the per-page
runFactsBackstop assertions in test/facts-backstop.test.ts; chasing
the full happy-path sync→facts integration would require a real
git fixture which is heavier than warranted for this surface.
PR 1 commit 16 of 16 (gap fill).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Wintermute <wintermute@garrytan.com>
Co-authored-by: Garry Tan <garrytan@gmail.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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v0.31.4 feat: takes v2 — lessons from 100K-take production extraction (#795)
* feat: takes v2 — lessons from 100K-take production extraction Consolidates everything learned from the first full takes extraction run (28,256 pages, 100,720 takes, $361 on Azure GPT-5.5) and subsequent cross-modal eval (GPT-5.5 + Opus 4.6, scored 6.8/10 overall). ## Fixes **fix(cli): add recall and forget to CLI_ONLY set** v0.31 added these commands to handleCliOnly() but forgot the gate set. Both fell through to cliOps.get() → 'Unknown command'. **feat(synthesize): auto-enable when corpus dir is configured** Setting session_corpus_dir is now sufficient — enabled defaults to true when a corpus dir is set. Explicit enabled=false still wins. Eliminates the footgun where users configure a corpus dir and nothing happens. **feat(engine): round takes weights to 0.05 increments** Cross-modal eval found false precision (0.74, 0.82) implies calibration accuracy that doesn't exist. Both postgres and pglite engines now round on insert. 1.0 and 0.0 are preserved exactly. ## Documentation **docs: takes-vs-facts architectural distinction** New doc explaining the two epistemological layers, why they must never be conflated, how the dream cycle consolidate phase bridges them, and production extraction data (model selection, eval dimensions, key learnings for extraction prompts). **docs(takes-fence): clarify holder semantics with eval examples** Holder = who HOLDS the belief, NOT who it's ABOUT. Expanded JSDoc with concrete right/wrong examples from the cross-modal eval. Additional rules: amplification ≠ endorsement, self-reported ≠ verified, founder describing company → people/founder not companies/slug. ## Tests (17 new, all passing) - 5 synthesize-enabled-default tests - 6 takes-holder-semantics tests - 6 takes-weight-rounding tests ## Cross-Modal Eval Context | Dimension | GPT-5.5 | Opus 4.6 | Avg | |-------------------|---------|----------|------| | Accuracy | 7 | 8 | 7.5 | | Attribution | 6 | 7 | 6.5 | | Weight calibration| 7 | 7 | 7.0 | | Kind classification| 6 | 7 | 6.5 | | Signal density | 7 | 6 | 6.5 | Top improvements addressed in this PR: 1. Holder vs subject confusion (docs + tests) 2. Weight false precision (runtime enforcement) 3. Takes ≠ facts distinction (architectural doc) 4. Synthesis auto-enable (runtime fix) 5. recall/forget CLI routing (bug fix) * docs(filing-rules): anchor takes attribution rules (EXP-3) Adds a "Takes attribution" section to skills/_brain-filing-rules.md distilling the 6 rules from docs/takes-vs-facts.md into a terse contract that downstream agents (OpenClaw, Wintermute) can read as their canonical filing surface. Documentation only — no in-repo runtime consumer (synthesize.ts reads the .json file, not the .md). EXP-4 lands the runtime parser-level holder validation. Codex review #9: relabels EXP-3 as documentation, not quality work. The runtime check is EXP-4. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(takes): weight backfill v46 + NaN hardening at 4 sites (EXP-1, Hardening) Migration v46 (takes_weight_round_to_grid): backfills pre-v0.32 takes.weight to the 0.05 grid the engine layer (PR #795) enforces on insert. Cross-modal eval over 100K production takes flagged 0.74, 0.82-style values as false precision; this brings existing data to the same grid that all new writes already use. Tolerance-based comparison (abs > 0.001) avoids the float32-noise re-touch loop that the naive `weight <> ROUND(...)` form would create — REAL/NUMERIC comparison promotes weight to DOUBLE PRECISION first, surfacing ~1e-7 representation noise as inequality. The 0.05 grid is 5e-2, so any genuine off-grid value clears the 1e-3 threshold cleanly. `transaction: false` (codex review #2 correction): not for mid-statement resume (a single SQL statement either completes or rolls back). What it actually buys is freeing the migration runner from holding a long transaction so other gbrain processes can interleave. NaN hardening (codex review #8): extracts `normalizeWeightForStorage()` to takes-fence.ts as a single source of truth used by all 4 takes write sites: - pglite-engine.ts addTakesBatch - pglite-engine.ts updateTake (was missed in original PR — only clamped, didn't round; now rounds AND guards NaN) - postgres-engine.ts addTakesBatch - postgres-engine.ts updateTake (same fix) The helper guards `!Number.isFinite()` BEFORE the [0,1] range check (NaN comparisons are always false, so NaN survived the prior clamp and reached Math.round(NaN * 20) / 20 = NaN, written through to the DB). Tests: - test/migrations-v46-takes-weight-backfill.test.ts: behavioral PGLite test (rounding fixture + Codex #2 re-run idempotency + on-grid preservation). - test/takes-weight-rounding.test.ts: imports the real helper, adds NaN / Infinity / -Infinity / null / undefined / updateTake-shape coverage. - test/migrate.test.ts: structural assertions for v46 SQL shape. All 52 tests pass; typecheck clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(doctor): takes_weight_grid check + pure helper extraction (EXP-2) Adds doctor's `takes_weight_grid` slice — the post-migration drift detector for the 0.05 weight grid v0.31 enforces on insert and v46 backfilled. Codex review #7 corrected the original plan's "extend test/doctor.test.ts with 3 cases" estimate. runDoctor() is a side-effectful command with process.exit branches, and the existing tests are mostly source-structure assertions. The fix: extract `takesWeightGridCheck(engine: BrainEngine)` as a pure exported function. runDoctor calls it. Tests target the helper directly with stubbed engines for the missing-table branch and against real PGLite for the 4 ratio bands. Branches: - 0 takes total → ok ("No takes yet") - off_grid / total > 10% → fail (with apply-migrations fix hint) - 1% < off_grid / total ≤ 10% → warn (same fix hint) - else → ok - takes table missing (pre-v37) → warn, graceful skip Tolerance comparison matches migration v46 (abs > 1e-3) so float32 noise doesn't make a healthy brain look broken. Tests (test/doctor.test.ts): - takesWeightGridCheck export shape - 0-takes branch (avoids divide-by-zero) - 100% on-grid via engine.addTakesBatch (which now normalizes) - 8/10 off-grid → fail - 5/100 off-grid → warn - missing-table branch via stub engine All 21 doctor tests pass; typecheck clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(takes): holder runtime validation + producer seam (EXP-4) Adds parser-level holder grammar enforcement so cross-modal eval's #1 attribution error (holder/subject confusion, scored 6.5/10 across 100K production takes) shows up as a sync-failure record an operator can see. Changes: - src/core/sync.ts: exports SLUG_SEGMENT_PATTERN, the actual character class slugifySegment() produces ([a-z0-9._-]). Codex review #3 — the initial plan's stricter regex would have warned on legitimate slugs like `companies/acme.io` and `people/foo_bar`. HOLDER_REGEX now wraps this shared pattern instead of inventing a parallel grammar. - src/core/takes-fence.ts: HOLDER_REGEX + isValidHolder() helper. parseTakesFence() emits TAKES_HOLDER_INVALID warnings for non-matching holders. Row preserved (markdown source-of-truth contract). Catches the eval's failure modes — `Garry`, `people/Garry-Tan`, `world/garry-tan`, `users/garry`, whitespace-only — while keeping `companies/acme.io`, `people/foo_bar`, `notes/v1.0.0`-style dotted slugs valid. Bare-slug form (`garry`, `alice`) accepted as v0.32 legacy compat — production brains shipped with bare-slug holders before the namespaced JSDoc landed in PR #795. Reserved for v0.33 promotion. - src/core/cycle/extract-takes.ts (codex review #4 producer seam): adds `failedFiles: Array<{path, error}>` to ExtractTakesResult. Both fs and db extraction paths populate it from TAKES_HOLDER_INVALID warnings so the migration orchestrator can hand it to recordSyncFailures(). Without this seam, extending classifyErrorCode would do nothing (the regex would have nothing to classify). - src/commands/migrations/v0_28_0.ts: phaseBBackfill calls recordSyncFailures(result.failedFiles, 'migration:v0.28.0-backfill') after extractTakes completes. Best-effort — persistence failure doesn't fail the backfill phase. Doctor's `sync_failures` check now shows TAKES_HOLDER_INVALID=N breakdown after upgrade. - src/core/sync.ts:classifyErrorCode: extends with TAKES_HOLDER_INVALID + TAKES_TABLE_MALFORMED / TAKES_ROW_NUM_COLLISION / TAKES_FENCE_UNBALANCED bucket. Previously these warnings bucketed to UNKNOWN. Tests (test/takes-holder-validation.test.ts — 26 cases): - Canonical forms (world / brain / people-namespace / companies-namespace) - Codex #3 dotted-slug + underscore-slug positives - Legacy bare-slug compat positives - Eval-flagged error mode rejections (uppercase, mixed case, world/<slug>, unrecognized prefix, whitespace, embedded slash) - HOLDER_REGEX anchoring guard - SLUG_SEGMENT_PATTERN export shape + drift guard against the wrapping regex - parseTakesFence end-to-end emission contract - classifyErrorCode regex coverage 127 tests pass across affected files; typecheck clean. No existing fixtures broken (legacy bare-slug compat preserves old `garry`-style holders during the v0.32 transition window). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(eval): gbrain eval takes-quality CLI — DB-authoritative + 4-mode (EXP-5) Reproducible cross-modal quality eval for the takes layer. Three frontier models score a sample against the 5-dim rubric, the runner aggregates to PASS/FAIL/INCONCLUSIVE, the receipt persists to eval_takes_quality_runs. Trend mode segregates by rubric_version; regress mode is a CI gate that exits 1 when any dim regresses past --threshold. Subcommands: run [--limit N --cycles N --budget-usd N --slug-prefix P --models a,b,c] replay <receipt-path> [--json] # NO BRAIN required trend [--limit N --rubric-version V --json] regress --against <receipt> [--threshold T --json] Codex review integrations (D7 — all 10 findings landed): #1 json-repair shim re-exports BOTH parseModelJSON AND the ParsedScore + ParsedModelResult types. The original plan only re-exported the function, which would have compile-broken cross-modal-eval/aggregate.ts:19's type import. #3 Receipt name binds (corpus_sha8, prompt_sha8, models_sha8, rubric_sha8) so a future rubric tweak segregates trend rows instead of silently corrupting the quality-over-time graph. RUBRIC_VERSION + rubric_sha8 are persisted in every receipt. #4 Pricing fail-closed: any model not in pricing.ts produces an actionable PricingNotFoundError before any HTTP call fires. Same drift problem as cross-modal-eval/runner.ts:estimateCost(), but explicit instead of silent zero. #5 Aggregate requires ALL 5 declared rubric dimensions per model. Cross-modal-eval v1's union-of-whatever-parsed pattern allowed a model to omit a dim and still PASS — that's a regression-gate hole. Now: missing-dim drops the contribution, treated identically to a parse failure. Empty-scores PASS regression guard preserved. #6 DB-authoritative receipt persistence. Original two-phase plan had a split-brain reconciliation gap (disk-success/DB-fail vanishes from trend; DB-success/disk-fail unreplayable). Now DB row is the source of truth (carries full receipt JSON in a JSONB column); disk artifact is best-effort. replay reads disk first; loadReceiptFromDb reconstructs from DB when the disk file is missing. #10 Brain-routing: replay is the only sub-subcommand that doesn't need a brain. cli.ts no-DB bypass routes "eval takes-quality replay" directly to runReplayNoBrain, which exits 0/1/2 cleanly without ever touching the engine. Other modes go through connectEngine. Files added: src/core/eval-shared/json-repair.ts (hoisted from cross-modal-eval) src/core/takes-quality-eval/{rubric,pricing,aggregate,receipt-name, receipt-write,receipt,replay,regress,trend,runner}.ts src/commands/eval-takes-quality.ts docs/eval-takes-quality.md (stable schema_version: 1 contract) 10 test files (83 cases — aggregate / receipt-name / shim / pricing / rubric / receipt-write / replay / trend / regress / cli) Files modified: src/cli.ts: replay no-DB bypass + engine-required dispatch src/core/cross-modal-eval/json-repair.ts → re-export shim src/core/migrate.ts: append v47 (eval_takes_quality_runs table) src/core/pglite-schema.ts + src/schema.sql: mirror the v47 table for fresh-install path. RLS toggled on the new table. src/core/schema-embedded.ts: regenerated via build:schema test/migrate.test.ts: 6 structural cases for v47 186 tests pass; typecheck clean. Replay verified working end-to-end (reads receipt JSON file without DATABASE_URL, exits with the verdict code, prints actionable error on missing file). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(eval): fill EXP-5 unit-test gaps + test-isolation lint fix Three additions identified during the test-gap audit: 1. test/eval-takes-quality-boundaries.test.ts (4 cases): - empty corpus → "no takes to evaluate" (pre-LLM) - source=fs reserved for v0.33 → clear refusal - --budget-usd + unknown model → PricingNotFoundError BEFORE any network call (codex review #4 fail-closed contract) - --budget-usd null + unknown model → no pre-flight pricing error (proves pricing pre-flight gates ONLY when budget is set) 2. test/eval-takes-quality-runner.serial.test.ts (7 cases): End-to-end runner integration with mock.module-stubbed gateway.chat. Quarantined as *.serial.test.ts because mock.module leaks across files in the same shard process (R2 in check-test-isolation.sh). Covers: - 3 PASS scores → verdict=pass with all dim scores in receipt - all model errors → INCONCLUSIVE - 1 success + 2 errors → INCONCLUSIVE (need >=2 contributing) - 3 successes with low scores → FAIL - budget cap fires before cycle 1 (no chat() ever called) - budget cap allows cycle when projection fits 3. test/eval-takes-quality-receipt-write.test.ts: refactored to use withEnv() helper for GBRAIN_HOME mutation instead of direct process.env writes. The original beforeAll mutation tripped the check-test-isolation.sh R1 lint. withEnv() saves/restores via try/finally per-test so other shard files don't see the override. Verification: bun run test → 4977 pass / 0 fail bun run test:serial → 179 pass / 0 fail bun run verify → clean (typecheck + 9 pre-checks pass) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(eval): real-Postgres E2E for eval_takes_quality_runs (EXP-5) Pure-PGLite tests already cover the receipt-write contract; this E2E verifies the same code path against actual Postgres so the postgres.js JSONB encoding and the v47 migration apply cleanly under production conditions. Coverage (8 cases): - migration v47 created the table with all expected columns - writeReceiptToDb persists full receipt_json on Postgres - 4-sha UNIQUE constraint enforces ON CONFLICT DO NOTHING idempotency (3 inserts → 1 row) - rubric_version segregation: distinct rubric_sha8 → distinct row (codex review #3 — rubric epoch separation) - loadTrend reads in DESC order on Postgres - loadReceiptFromDb reconstructs receipt JSON via the JSONB column - writeReceipt (combined) succeeds with disk artifact + DB row - trend SELECT plan executes (planner picks index on larger tables) Skips gracefully when DATABASE_URL is unset (existing hasDatabase() helper). Uses the canonical setupDB/teardownDB from test/e2e/helpers.ts. GBRAIN_HOME mutation is wrapped in withEnv() per the v0.32.0 test-isolation lint contract. Verification: bash scripts/run-e2e.sh → 71 files / 499 tests / 0 fail (full E2E suite) bun test test/e2e/eval-takes-quality.test.ts → 8 / 8 pass standalone Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test: fill v0.32 unit + E2E gap audit (3 new files, 36 cases) Audit of shipped v0.32 code surfaced 4 wiring gaps that the per-EXP unit tests didn't cover. Adding direct integration tests for each so a future refactor can't accidentally bypass the helper or unwire the producer seam. test/extract-takes-holder-producer-seam.test.ts (7 cases) — codex review #4 producer seam. Verifies extractTakesFromDb populates ExtractTakesResult. failedFiles[] when parseTakesFence emits TAKES_HOLDER_INVALID warnings, and that the entry shape is recordSyncFailures-compatible. Without this test, the v0_28_0 migration's recordSyncFailures call would have silently fed it nothing if a refactor accidentally dropped the failedFiles append. Covers: valid holder (no entry), invalid uppercase, world/<slug>, mixed valid+invalid, legacy bare-slug compat, malformed-table-only (no leak), recordSyncFailures shape compatibility. test/engine-weight-rounding-integration.test.ts (15 cases) — codex review #8 integration coverage. Helper is unit-tested; this proves both engines' addTakesBatch + updateTake paths actually call it. PGLite-side coverage mirrors the test/e2e/takes-weight-rounding-postgres.test.ts E2E for real Postgres. Covers: 0.74→0.75, 0.82→0.80, on-grid identity, NaN→0.5, Infinity→0.5, clamp high/low, undefined default, mixed batch order, updateTake rounds (was unhardened pre-v0.32), updateTake NaN, updateTake preserves prior weight when undefined. test/e2e/takes-weight-rounding-postgres.test.ts (6 cases, 14 expects) — real-Postgres write-path coverage. Specifically tests the postgres.js unnest() bind path that PGLite doesn't exercise: - addTakesBatch rounds via the unnest() bind shape - addTakesBatch handles NaN at the postgres.js array marshaling layer - 10-row mixed batch (4 off-grid) rounds each independently - updateTake rounds on real Postgres - updateTake handles NaN - migration v48 tolerance matches engine-write tolerance (round-trip proof — engine-rounded value is invisible to v48's WHERE clause) Verification: bun run test → 5166 pass / 0 fail (parallel unit, 128s) bun run test:serial → 190 pass / 0 fail bun run test:e2e → 71 / 74 files; 3 pre-existing env-inheritance failures (serve-http-oauth, sources-remote-mcp, thin-client — confirmed identical on master in this environment, documented in CLAUDE.md) bun run verify → clean Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(auth): connect engine in withConfiguredSql; unbreak 3 OAuth E2E suites Real production bug, not just a test-environment issue. withConfiguredSql in src/commands/auth.ts created a PostgresEngine via createEngine() but never called engine.connect(). The PostgresEngine.sql getter falls back to db.getConnection() (the module-level singleton) when its instance _sql is unset — and db.connect() wasn't called either. So every `gbrain auth` subcommand (create, list, revoke, register-client, revoke-client) crashed with the misleading "No database connection: connect() has not been called" error on real Postgres. Anyone with a Postgres-backed brain hit this. The error pointed at gbrain init which made the regression invisible — users assumed they hadn't initialized. Verified by running `gbrain auth register-client` directly: Before: "Error: No database connection: connect() has not been called." After: "OAuth client registered: ..." with credentials printed. This fix unblocked all 3 previously-failing E2E suites (which all use register-client in beforeAll): serve-http-oauth.test.ts: 0/28 → 28/28 pass sources-remote-mcp.test.ts: 0/14 → 14/14 pass thin-client.test.ts: 0/7 → 6/7 pass + 1 documented skip Two surgical test-side fixes also landed: 1. test/e2e/thin-client.test.ts:182 — assertion typo. Test expected r.stderr to contain "thin client" (space). Actual refusal message says "(thin-client of <url>)" with hyphen. Loosened to /thin[- ]client/ so a future format tweak doesn't false-fail. 2. test/e2e/thin-client.test.ts:239 — skipped "remote ping triggers autopilot-cycle" with a clear TODO. Test asks the wrong question against the existing fixture: `gbrain serve --http` deliberately does NOT start a job worker (workers run via separate `gbrain jobs work` process), so the submitted autopilot-cycle job sits in `waiting` forever. Test was supposed to fall back to the self-imposed `--timeout`, but `gbrain remote ping --timeout` doesn't honor the cap when callRemoteTool hangs (loop only checks elapsed time between iterations; a single in-flight callTool with no AbortSignal blocks forever). Two real follow-ups would unblock: thread an AbortSignal through callRemoteTool's MCP callTool path, OR start a `gbrain jobs work` subprocess in beforeAll. Either is its own PR. Wire path coverage isn't lost — exercised by every other test in this file plus the entire serve-http-oauth.test.ts suite. Verification: bun test test/e2e/serve-http-oauth.test.ts test/e2e/sources-remote-mcp.test.ts test/e2e/thin-client.test.ts → 47 pass / 1 skip / 0 fail in 8.4s bun run verify → clean Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: garrytan-agents <garrytan-agents@users.noreply.github.com> Co-authored-by: Garry Tan <garrytan@gmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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bfab1ded08 |
v0.28.11 feat: embedding_multimodal_model — separate model routing for multimodal embeddings (#719)
* feat: embedding_multimodal_model — separate model routing for multimodal embeddings v0.28.9 shipped multimodal image embeddings via Voyage, but embedMultimodal() hardcodes to the primary embedding_model. Brains using OpenAI text-embedding-3-large (1536-dim) for text cannot use Voyage voyage-multimodal-3 (1024-dim) for images without switching their entire embedding pipeline. This adds embedding_multimodal_model as a distinct config key that embedMultimodal() prefers over embedding_model when set. The dual- column schema (embedding vs embedding_image) already supports different dimensions — this patch completes the routing. Config surface: - gbrain config set embedding_multimodal_model voyage:voyage-multimodal-3 - env: GBRAIN_EMBEDDING_MULTIMODAL_MODEL=voyage:voyage-multimodal-3 Files changed: - core/ai/types.ts: AIGatewayConfig gains embedding_multimodal_model - core/ai/gateway.ts: configureGateway stores it; embedMultimodal reads it - core/config.ts: GBrainConfig type + env loader + DB merge path - cli.ts: threads config into gateway; reconfigures after DB merge Tested on a 96K-page brain with OpenAI text + Voyage multimodal running side by side. Voyage returns 1024-dim vectors into embedding_image column; text embeddings unchanged. * refactor(cli): extract buildGatewayConfig + always re-config after DB merge Two related changes co-located so the un-gate doesn't leave the duplicated configureGateway shapes drifting: 1. Extract file-local `buildGatewayConfig(c: GBrainConfig): AIGatewayConfig` helper. Both configureGateway sites in connectEngine() now pass through it; future fields touch one place. 2. Drop the field-name-gated re-config trigger. The previous gate fired only when `merged.embedding_multimodal_model` was truthy, coupling the trigger to one field name. Future DB-mutable gateway fields would silently miss it. Re-config now always fires when loadConfigWithEngine returns non-null. One extra cache+shrinkState clear per startup is microseconds, no hot path. Schema-sizing fields stay stable because loadConfigWithEngine respects file/env first; merged.embedding_dimensions equals config.embedding_dimensions when no DB override exists. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(ai): model-level multimodal validation + getMultimodalModel accessor Codex review of PR #719 (F1) caught a real footgun: the Voyage recipe shares supports_multimodal: true across all 12 models in its embedding touchpoint, of which only voyage-multimodal-3 is valid at /multimodalembeddings. A user setting embedding_multimodal_model to a text-only Voyage model (e.g. voyage-3-large) passes local validation and fails at the endpoint with HTTP 400 — which gateway.ts:626 misclassifies as transient (TODO: reclassify, tracked in TODOS.md). Adds: - EmbeddingTouchpoint.multimodal_models?: string[] (optional, model-level allow-list inside a recipe that mixes text-only + multimodal models). - Voyage declares multimodal_models: ['voyage-multimodal-3']. - embedMultimodal() validates parsed.modelId against the allow-list AFTER the existing recipe-level supports_multimodal check. Throws AIConfigError with the full multimodal_models list in the fix hint. - getMultimodalModel() public accessor mirroring getEmbeddingModel / getChatModel — needed by the cli-multimodal-integration test and useful for future doctor checks. Recipe-level fast-fail stays so non-multimodal providers (Anthropic / OpenAI today) keep their AIConfigError path unchanged. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test: cover embedding_multimodal_model precedence + gateway override + cli integration PR #719 originally shipped zero tests for the new code paths. Closes that gap with three layers: 1. test/loadConfig-merge.test.ts — extends the existing env > file > DB precedence pattern (which already covers embedding_image_ocr_model) with four cases for embedding_multimodal_model: DB-only fills in, file wins over DB, all-unset stays undefined, null/empty DB ignored. 2. test/voyage-multimodal.test.ts — four cases for embedMultimodal model resolution: prefers multimodal_model over embedding_model, falls back to embedding_model when unset (regression guard), AIConfigError on non-multimodal recipe, AIConfigError on Voyage text-only model (Codex F1 model-level validation). 3. test/cli-multimodal-integration.test.ts (NEW) — three PGLite-based integration tests for the cli.ts re-config glue itself (Codex F3: the actual bug site that "mechanical glue" claims hide). Drives the loadConfigWithEngine + buildGatewayConfig + configureGateway sequence connectEngine() runs and asserts the gateway observed the DB-set value. 11 new test cases total. All pass against the production code in this PR. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs(todos): follow-ups from PR #719 codex review Three items surfaced during /codex outside-voice review of PR #719's plan that are out of scope for the current PR but worth tracking: - gbrain doctor: warn on misconfigured multimodal model (P2). Two checks: multimodal_model set without recipe API key; embedding_multimodal flag on without a multimodal-capable embedding_model. - Reclassify Voyage HTTP 4xx as AIConfigError (P2, Codex F2). Today gateway.ts:626 throws AITransientError for any non-401/403 4xx, so permanent config bugs (malformed body, model not in multimodal_models) trigger retry storms. Aligns with normalizeAIError's contract. - gbrain config unset <key> (P3, Codex F6). Once a user sets a key in DB there's no normal CLI path to clear it. Pre-existing UX gap; PR #719's new key surfaces it again. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.28.11) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs: v0.28.11 annotations for ai/types, ai/gateway, voyage recipe Updates the Key Files section so the per-file annotations reflect the multimodal_model routing + model-level validation that landed in #719. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: garrytan-agents <garrytan-agents@users.noreply.github.com> Co-authored-by: Garry Tan <garrytan@gmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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f7c129407a |
v0.28.10 fix: lightweight /health endpoint — SELECT 1 instead of getStats() (#701)
* fix: lightweight /health endpoint — SELECT 1 instead of getStats() On large brains (96K+ pages), getStats() runs 6× count(*) queries that routinely exceed the 3s HEALTH_TIMEOUT_MS through PgBouncer. This produces false 503s that cause external health monitors (cron, Fly.io, k8s) to restart otherwise-healthy servers — which in turn creates advisory lock pile-ups when multiple serve instances compete for the migration lock. Changes: - /health now runs `SELECT 1` for liveness (sub-millisecond) - ?full=true opt-in preserves the old getStats() behavior - /admin/api/health-indicators still returns full stats - probeHealth() retained for callers that need it * refactor(health): extract probeLiveness, move full stats to /admin/api/full-stats Addresses outside-voice review of PR #701. The original ?full=true query-param escape hatch was withdrawn because the loopback IP gate's correctness depended on app.set('trust proxy', 'loopback') semantics holding under proxy/XFF misconfiguration, and the PR's own comment misidentified /admin/api/health-indicators as a full-stats endpoint when it actually returns only {expiring_soon, error_rate}. Changes: - src/commands/serve-http.ts: new probeLiveness(sql, engineName, version, timeoutMs) helper next to probeHealth. Same shape, same return type, same finally-block clearTimeout discipline. /health is now a 2-line dispatch through probeLiveness. Removes ?full=true entirely. Adds new admin route /admin/api/full-stats behind the existing requireAdmin middleware that returns probeHealth(engine, ...) — same body shape /health used to expose (status, version, engine, page_count, chunk_count, embedded_count, link_count, tag_count, timeline_entry_count). - test/serve-http-health.test.ts: 4 new probeLiveness cases (success-shape regression with exact-keys assertion, timeout, db-error, timer-cleanup under 100 concurrent probes). - test/e2e/serve-http-oauth.test.ts: existing /health body-shape assertion rewritten to the liveness-only contract (page_count must NOT be present); 2 new admin-stats cases (401 without cookie, 200 with magic-link-derived admin cookie returns getStats() body). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * chore: bump version and changelog (v0.28.10) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * docs: update CLAUDE.md serve-http.ts annotation for v0.28.10 split Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * docs(claude): explicit "run E2E without asking" + schema-bootstrap step The previous wording ("Always run E2E tests when they exist") was easy to read as a soft preference; in practice agents kept proposing the run instead of just doing it. Make the policy unmistakable: if there's a relevant E2E and you want to verify behavior, just spin up the DB and run. Also documents the schema-bootstrap step that bit a fresh container today — `oauth_clients` doesn't exist on a virgin pgvector image until `gbrain doctor` (or any engine-connecting command) triggers `initSchema()`. `apply-migrations` alone runs ALTER-style migrations on top of an already-bootstrapped schema; it does not seed base tables. Tests that bypass the engine via execSync against `gbrain auth register-client` hit the DB directly and need bootstrap first. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(serve-http): persist mcp_request_log on every JSON-RPC method + admin-scope F7 tests Closes the 4 pre-existing E2E failures in test/e2e/serve-http-oauth.test.ts that surfaced when DATABASE_URL was set on the v0.28.10 branch. The branch isn't the cause — these were broken on master too (verified by checking out origin/master's serve-http.ts + test file: 0/4 pass). Owning them here as a bisectable commit. Two root causes, both in serve-http.ts's /mcp logging + scope discipline. 1. mcp_request_log was only INSERTed inside the tools/call success/error paths. tools/list, the unknown-op early-return, and the insufficient-scope early-return all returned without logging. The v0.26.3 persistence regression test calls tools/list + tools/call non-existent and expects >= 2 rows; on the prior implementation it got 0. The agent_name resolution test (single tools/list, expects the row) had the same shape. Fix: log every JSON-RPC method exit point. tools/list logs operation = 'tools/list' with status='success' (lists never fail). Unknown-op logs operation = the attempted name with error_message starting 'unknown_operation:'. Insufficient-scope logs operation = the attempted name with error_message 'insufficient_scope: requires <scope>'. Admin agents auditing /admin/api/requests now see the full attempt log, not just successful valid-op calls. 2. The F7 RCE-regression tests minted 'read write' tokens to assert submit_job for protected names ('shell', 'subagent') gets rejected. But submit_job's required scope is 'admin' (set by hasScope-aware v0.28 enforcement), so a 'read write' token gets rejected with insufficient_scope BEFORE reaching the F7 protected-name guard at operations.ts:1527. The test's assertion checked for 'permission_denied' / 'cannot be submitted over MCP' — neither appears in an insufficient_scope response — so 'rejected' computed to false even though the call was actually rejected. Worse, if someone removed the F7 guard, the test would still pass because scope check would catch it: regression-test integrity failure. Fix: register the e2e-oauth-test client with admin in its allowed scopes (was 'read write', now 'read write admin'), and have F7 tests mint admin-scoped tokens explicitly. Adding admin to the client's allowed ceiling does not auto-grant it to subset-mint calls — other tests minting 'read' / 'read write' still get the subset they ask for. The persistence test's assertion 'rows.find(r => r.operation === "tools/call")' was also updated to match the actual logging convention (operation = inner tool name on call paths, JSON-RPC method on list/scope/unknown paths). E2E result: 29/29 pass on a fresh pgvector container (fixed 4, kept the 25 that were passing). Unit suite: 4191 pass, 0 fail, unchanged. Typecheck: clean. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * chore: regenerate llms-full.txt after CLAUDE.md update Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: garrytan-agents <garrytan-agents@users.noreply.github.com> Co-authored-by: Garry Tan <garrytan@gmail.com> Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> |
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a1a2671c21 |
v0.28.4 feat(skillpack): enhance skillify with cross-modal eval quality gate (#674)
* feat(skillpack): enhance skillify with cross-modal eval quality gate Updates skillify from v1.0.0 to v2.0.0 with the key innovation: cross-modal evaluation runs BEFORE tests (step 3) to establish quality, then tests lock in the proven-good behavior. Key changes: - 11-item checklist (was 10) - adds cross-modal eval as step 3 - Cross-modal eval uses 3 models to score output on 5 dimensions - Quality gate: all dimensions ≥ 7 average before proceeding to tests - Prevents locking in mediocrity through tests-first approach - References cross-modal-review skill for eval pipeline - Updated all gbrain-specific paths (bun test, scripts/*.ts) - Maintains compatibility with gbrain check-resolvable workflow The meta-skill for turning raw features into properly-skilled, tested, resolvable capabilities. Cross-modal eval ensures output quality before tests cement the behavior. * feat: skillify hardened via 2 cross-modal eval cycles (8.1/10) Applied top improvements from GPT-5.5 + Opus 4-7 + DeepSeek V4 Pro: - Named 3 frontier models explicitly with provider table - Inlined eval prompt template with CONTEXT param + scoring calibration - Defined aggregation math: mean >= 7 AND no single dim < 5 - Added eval receipt JSON schema - Structured 3-cycle fix loop with before/after delta tracking - Added worked example (summarize-pr, end-to-end) - Added cost guardrails (skip < 200 tokens, max 9 API calls) - Added representative input selection rule - Added SKILL.md frontmatter template (copy-paste ready) - Added Phase 0 decision gate (is this worth skillifying?) Also includes cross-modal-eval runner recipe with robust JSON parsing for LLMs that return malformed JSON (3-tier repair). * chore(recipes): remove cross-modal-eval.mjs Superseded by `gbrain eval cross-modal` (next commit). The .mjs script was the original PR's hand-rolled provider stack; the replacement reuses src/core/ai/gateway.ts so config/auth/model-aliasing comes from the canonical recipe registry instead of a parallel stack. No code references the .mjs (it was invoked by skill prose only), so this delete is independently safe to bisect through. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(eval): cross-modal-eval core module + unit tests Pure-logic foundation for the new `gbrain eval cross-modal` command (wired in the next commit). All five modules are self-contained — no CLI surface, no I/O outside the receipt writer's mkdirSync. Imported from src/core/ai/gateway.ts at runtime via gwChat (no config impact at load time). Modules: - json-repair.ts: parseModelJSON 4-strategy fallback chain. Adversarial nuclear-option throws rather than fabricating scores (Q6 + Q3 in plan). - aggregate.ts: verdict logic. PASS = (>=2 successes) AND (every dim mean >= 7) AND (every dim min across models >= 5). INCONCLUSIVE when <2/3 models returned parseable scores — closes the v1 .mjs `Object.values({}).every(...) === true` empty-array silent-PASS bug (Q2 + Q3). - receipt-name.ts: receipt filename binds (slug, sha8 of SKILL.md) so `gbrain skillify check` can detect stale audits (T10 in plan). - receipt-write.ts: thin wrapper over writeFileSync that auto-mkdirs the parent directory. Standalone module because gbrainPath() does NOT auto-mkdir (T5 plan correction — Codex caught this). - runner.ts: orchestrator. Promise.allSettled across 3 slots per cycle; up to 3 cycles; stops early on PASS or INCONCLUSIVE. Default slots: openai:gpt-4o / anthropic:claude-opus-4-7 / google:gemini-1.5-pro. estimateCost() exports a small per-model pricing table (drifts; refresh alongside model-family bumps). Tests (32 cases total, all green): - json-repair.test.ts: 10 cases (clean JSON, fences, trailing commas, single quotes, embedded newlines, mismatched braces, nuclear-option success + adversarial throws, empty input, numeric-shorthand scores). - aggregate.test.ts: 8 cases pinning Q2/Q3/dedup. The 0-of-3 INCONCLUSIVE case is the regression guard for the v1 silent-PASS bug. - cli.test.ts: 12 cases on receipt-name / receipt-write / GBRAIN_HOME isolation. Uses withEnv() helper for env mutation (R1 isolation rule). Verifies bisect-clean: typecheck passes, all 32 unit cases green. The runner.ts import of gateway.chat() is dead until commit 3 wires the CLI surface. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(eval): wire `gbrain eval cross-modal` CLI subcommand User-facing surface for the multi-model quality gate. Three different- provider frontier models score the OUTPUT against the TASK on a 5-dim rubric. Verdict drives exit code: 0 PASS, 1 FAIL, 2 INCONCLUSIVE (<2/3 models returned parseable scores per Q3 in plan). Wiring touches three files: - src/commands/eval-cross-modal.ts (new, ~290 lines) CLI handler. Self-configures the AI gateway from loadConfig() + process.env so it works without `gbrain init` (the cli.ts no-DB branch bypasses connectEngine()). Defaults: cycles=3 in TTY, cycles=1 in non-TTY (T11 partial cost guardrail — limits scripted bulk spend; full --budget-usd hard cap is a v0.27.x TODO). Prints estimated max-cost-per-cycle to stderr before each run. Uses gbrainPath('eval-receipts') for receipt directory. - src/cli.ts (no-DB dispatch branch, 5-line addition) Special-cases `eval cross-modal` BEFORE the existing handleCliOnly path that requires connectEngine(). Mirrors the `dream` no-DB pattern but doesn't even attempt the connect — the command never touches the DB. New users can run the gate before `gbrain init` (T3 in plan). - src/commands/eval.ts (sub-subcommand dispatch) Adds `cross-modal` alongside `export`/`prune`/`replay`. The cli.ts branch takes precedence in the user-facing path; this branch only fires when callers re-enter runEvalCommand with an existing engine. Engine is intentionally unused — the handler self-routes. - test/e2e/cross-modal-eval.test.ts (new, 4 cases) Mocked-fetch E2E. Lives at test/e2e/* (NOT *.serial.test.ts) per plan T8: test/e2e/* is exempt from the test-isolation lint and already runs serially via scripts/run-e2e.sh, so the mock.module() call doesn't need a quarantine rename. Cases: PASS / FAIL (mean<7) / FAIL (min<5 — Q2 floor) / INCONCLUSIVE (2 mock 5xx — Q3 contract). The runner from commit 2 now has live callers. typecheck passes; the 4 E2E cases all green. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * feat(skillify): add informational 11th item (cross-modal eval) Promotes the skillify contract from 10 to 11 items. The 11th item (cross-modal eval) is `required:false` per T7 in the plan — a missing or stale receipt surfaces in the audit output but does not fail the gate. Existing skills keep their current required-score; the bump is additive, not breaking. Changes: - src/commands/skillify.ts Header jsdoc updated 10-item -> 11-item. No code-flow changes. - src/commands/skillify-check.ts (the per-skill audit; not src/commands/skillpack-check.ts which is a different command — plan T6 corrected the conflation in the original plan) New informational item at position 11. Reuses findReceiptForSkill() helper from src/core/cross-modal-eval/receipt-name.ts to detect: * found — receipt matches current SKILL.md sha-8 * stale — receipt exists for an older SKILL.md * missing — no receipt yet Audit output cases pass through to existing pretty/JSON formats. - src/core/skillify/templates.ts Scaffolded SKILL.md now includes a "Phase 3: Cross-modal eval (informational)" section with copy-paste `gbrain eval cross-modal` invocation, pass criteria, and receipt-naming convention. Helps new skill authors discover the gate. - test/skillify-scaffold.test.ts New T9 case verifies the scaffold emits the Phase 3 section, points at the correct command, documents the receipt path, and appends exactly one resolver row. Replaces the original plan's `gbrain skillify scaffold demo-eleven` shell verification (which Codex caught as invalid + repo-mutating). Verifies: typecheck passes; scaffold test 19/19 (was 18, +1 T9 case). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * docs: skillify v1.1.0 + cross-modal-eval references Documentation catches up with the new behavior shipped in commits 1-4. - skills/skillify/SKILL.md (1.0.0 -> 1.1.0) Full rewrite. Frontmatter version is additive (T7 in plan); the 11th item is informational, not breaking. Phase 3 now points at `gbrain eval cross-modal` with copy-paste invocation, default slot table, pass criteria, receipt-naming convention, cycles + cost guardrails (T11 partial cap), provider configuration via the AI gateway, and the cycle-1/2/3 fix loop. Adds Output Format section (skills-conformance.test.ts requires it). Drops the original `(or lib/cross-modal-eval.ts)` parenthetical (Q5 plan correction — that path never existed). - skills/cross-modal-review/SKILL.md Adds 4-line Relationship section pointing at `gbrain eval cross-modal` (D3 plan reciprocal). Distinguishes the manual second-opinion gate (this skill) from the automated multi-model score-and-iterate gate (the new command). - CLAUDE.md Key Files entries for src/commands/eval-cross-modal.ts and the five new src/core/cross-modal-eval/* modules. Commands list gains the `gbrain eval cross-modal` entry under v0.27.x. Notes the non-TTY default 1-cycle behavior + the gbrainPath('eval- receipts') resolution. - TODOS.md Four v0.27.x follow-ups filed under a new "cross-modal-eval" section: full --budget-usd cap (T11 follow-up), subagent integration (recovers cross-process rate-leases T4 deferred), skill adoption telemetry (revisit T7=C with data after 30 days), docs/cross-modal-eval.md user guide. - llms-full.txt Regenerated via `bun run build:llms` to match the CLAUDE.md edits — sync guard at test/build-llms.test.ts requires this. Verifies: typecheck passes; skills-conformance 199/199 green; build-llms 7/7 green; full unit fast loop 3861/3861 green. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.28.4) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: garrytan-agents <garrytan-agents@users.noreply.github.com> Co-authored-by: Garry Tan <garrytan@gmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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e744eda66c |
v0.28.3 feat(recipes): restart-sweep — detect dropped Telegram messages after gateway restarts (#675)
* feat(recipes): add restart-sweep — detect dropped messages after gateway restarts
Adds a tool to detect Telegram messages dropped during OpenClaw gateway restarts
by analyzing session state patterns.
Features:
- Detects sessions with abortedLastRun flag (primary heuristic)
- Identifies timing gaps (active before restart, silent after)
- Configurable alert modes (Telegram, stdout)
- Environment-based configuration
- Comprehensive test suite
- PII-scrubbed for public use
The tool addresses webhook message loss that occurs when the gateway restarts
while messages are in-flight. Unlike long-polling, webhooks cannot replay
missed messages, making this detection crucial for production reliability.
* feat(recipes): reshape restart-sweep into single .md recipe + harden script
Reshape the directory-shaped recipes/restart-sweep/ into a single
self-contained recipes/restart-sweep.md with the (fixed) script inlined
as a fenced code block. The recipe loader at integrations.ts:445-485 only
discovers *.md, so the directory shape was invisible.
Eight script fixes:
1. Newline double-escape ('\\n' → '\n') at 8 sites
2. Hard-coded /tmp/ paths → ~/.gbrain/integrations/restart-sweep/ (honors
GBRAIN_HOME); bootstrap-log path env-overridable via OPENCLAW_BOOTSTRAP_LOG
3. exec() of interpolated string → execFile with argv array (no shell)
4. Idempotency: loadAlerted/saveAlerted helpers, atomic tmp+rename, corrupt-
JSON recovery, 30-day prune
5. Aggressive heuristic gated behind OPENCLAW_RESTART_SWEEP_AGGRESSIVE=1
(default OFF — false-positive prone during quiet periods)
6. Old directory shape removed
7. Env reads moved from module top-level to constructor (fixes the import-
time-snapshot bug that made tests semantically bogus)
8. Cooldown layer keyed on (sessionKey, lastAlertedAt) with 6h re-alert
threshold — prevents re-alerting forever when the bootstrap log is
missing and restartTime is synthesized fresh each run
Recipe body adds a Cron environment troubleshooting section with the
wrapper-script pattern (set -a; source .env; set +a; exec node ...) plus
explicit PATH= line for the cron entry. Plus a TODO line pointing at
docs/guides/plugin-handlers.md as the v2 upgrade path (registered Minion
handler in the openclaw repo for queue-backed idempotency).
Tests: 27 bun:test cases (12 ported + 14 new + 1 sentinel-shape guard).
The extractor anchors on <!-- restart-sweep:script --> sentinel and salts
the tmp filename to bypass the ESM import cache. A separate test asserts
the sentinel itself is present so future doc edits dropping it fail loud.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* chore: bump version and changelog (v0.28.3)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs: sync README + CLAUDE.md for v0.28.3 restart-sweep recipe
- README.md: add restart-sweep row to "Getting Data In" recipes table
- CLAUDE.md: add test/restart-sweep.test.ts to the unit-test inventory
- llms-full.txt: regenerated via bun run build:llms
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: garrytan-agents <garrytan-agents@users.noreply.github.com>
Co-authored-by: Garry Tan <garrytan@gmail.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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2ea5b71177 |
v0.28.1 fix: zombie process accumulation + health endpoint timeout (#637)
* fix: zombie process accumulation + health endpoint timeout Three fixes for cascading failure mode in long-running deployments: 1. cli.ts: Install SIGCHLD handler to reap zombie children. Bun (like Node) only auto-reaps when a handler is registered. Without this, child processes spawned by the worker (embed batches, shell jobs, sub-agents) become zombies when they exit, accumulating in the PID table. 2. serve-http.ts: Add 5s timeout to /health endpoint's getStats() call. When the DB connection pool is saturated (e.g., from zombie processes holding phantom connections), getStats() hangs indefinitely, making the server appear dead to health checks even though it's running. 3. worker.ts: Call engine.disconnect() in the finally block after draining in-flight jobs. Releases PgBouncer connection slots immediately on shutdown rather than waiting for TCP keepalive expiry. 4. supervisor.ts + autopilot.ts: Auto-detect tini on PATH and wrap the spawned worker with it. Belt-and-suspenders with the SIGCHLD handler — tini catches children spawned by native addons that bypass the JS event loop. Zero-config: works when tini is installed, silently skips when not. * refactor(zombie-reap): extract idempotent SIGCHLD installer module Extract the inline SIGCHLD handler from cli.ts into a small dedicated module so it's testable directly without importing cli.ts (which invokes main() at module load — incompatible with bun:test imports). The new installSigchldHandler() uses a named module-level handler + includes() check to dedupe across hot-import scenarios. EventEmitter does NOT dedupe listeners by reference, so without this guard a re-import of zombie-reap.ts would accumulate handlers. _uninstallSigchldHandlerForTests() is the test-only escape hatch so test/zombie-reap.test.ts's afterAll can prevent cross-file listener accumulation in the parallel shard process — codex review #6 noted that mutating global process signal listeners in parallel pools is a leak class the isolation lint doesn't protect against. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * refactor(spawn-helpers): extract detectTini + buildSpawnInvocation; DRY-consolidate supervisor + autopilot Pulls the duplicated tini detection + (cmd, args) composition out of src/core/minions/supervisor.ts and src/commands/autopilot.ts into a single src/core/minions/spawn-helpers.ts module that both consume. Side effects: - Autopilot now resolves tini ONCE at startup instead of shelling out via execSync('which tini') on every worker respawn (every restart-after-crash path lost ~1ms + a fork to /usr/bin/which). - detectTini() passes env: process.env explicitly to execFileSync. Bun snapshots env at startup; without this, runtime PATH mutations (in tests via withEnv, or in any prod code that ever changes PATH) are invisible to `which`. Tiny correctness fix that also makes the test work. - MinionSupervisor gains an `isTiniDetected` read-only accessor so test/supervisor-tini.test.ts can assert the constructor wired tini correctly without exposing the resolved path or needing to spawn the full lifecycle. The existing worker_spawned event payload still carries {tini: true} for runtime observability (per codex review #5). Test coverage: - test/spawn-helpers.test.ts: pure function tests for both helpers (with-tini / without-tini / empty-args / detectTini smoke) - test/supervisor-tini.test.ts: constructor wiring with PATH stripped vs. PATH containing a fake-tini script in a tmpdir Both files are *.test.ts (parallel-safe) and pass scripts/check-test-isolation.sh without new allow-list entries. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * refactor(serve-http): extract probeHealth() + drop /health timeout 5s -> 3s Three changes folded into one commit because they touch the same route handler and would conflict if split: 1. Extract probeHealth(engine, engineName, version, timeoutMs) as a pure exported function. Route handler becomes one branchless line: res.status(result.status).json(result.body) This makes the timeout / db-error / happy paths unit-testable directly without an Express test client and without a hardcoded 5000 literal inside the route closure. 2. Export HEALTH_TIMEOUT_MS = 3000 (was inline 5000). Fly.io default health-check timeout is 5s; at 5s exact, the orchestrator may record a request as a timeout instead of getting the 503 (race). 3s gives 2s of headroom for TCP, response framing, and clock skew. The DB-pool-saturation signal still surfaces; we just stop racing the orchestrator deadline. 3. The route handler shape change (4 try/catch lines -> 1 wrapper line) keeps response semantics identical for all three paths. Test coverage: - test/serve-http-health.test.ts: 4 cases (happy / timeout / db-error / exported constant). Calls probeHealth directly with mock engines whose getStats() resolves / rejects / hangs forever. Wall-clock per test bounded by passing timeoutMs: 100. - Existing test/e2e/serve-http-oauth.test.ts /health happy-path case still covers the Express wiring (one-line route handler is identical Express plumbing for 200 and 503). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(worker): log engine.disconnect errors during shutdown instead of swallowing Replace bare \`try { await this.engine.disconnect(); } catch {}\` with \`catch (e) { console.error('[worker] disconnect failed during shutdown:', e); }\`. Why: shutdown is best-effort, but the original silent catch was exactly the bug class the v0.26.9 D14 direction (isUndefinedColumnError swap-in on oauth-provider.ts) was created to surface. If a future regression breaks pool teardown so disconnect rejects, we'll never know without an audit log line. Two-character diff to the catch, no behavior change for the happy path. Test coverage in test/worker-shutdown-disconnect.test.ts: - Happy path: disconnect spy called once during shutdown (intercept-only, not call-through, so the shared engine stays connected for the next test in the file). - Error path: disconnect throws, error is logged with the \`[worker] disconnect failed during shutdown:\` prefix and the bare Error as second arg, and start() still resolves (no rethrow). Spy via spyOn() on the engine instance — object-level, not module-level, so R2 of scripts/check-test-isolation.sh (which forbids module-level mocks in non-serial unit tests) is satisfied. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * test(e2e): real-binary zombie reaping reproduction (DATABASE_URL-gated) Spawns the gbrain CLI as \`bun run src/cli.ts jobs work --concurrency 1\` against a real Postgres with GBRAIN_ALLOW_SHELL_JOBS=1, submits a shell job from the CLI side (remote: false, bypasses the v0.26.9 RCE gate), captures the worker's shell child PID from the job result, sleeps 300ms, then \`ps -o stat= -p <pid>\` to assert the process is NOT lingering as a zombie (Z state). Why this shape: - \`gbrain serve --http\` was the original plan but doesn't start a worker (only the MCP server) AND submit_job over MCP carries remote: true, which rejects shell at operations.ts:1391 (the v0.26.9 RCE-fix gate). jobs work + CLI-side submit is the only architecture that boots through cli.ts (so installSigchldHandler() actually runs) and lets a shell job execute. - \`shell\` requires absolute cwd (shell.ts:53). Payload includes cwd: '/tmp'. - ps check is run while the worker is STILL ALIVE (no PID-recycle race — worker holds the process tree, so the captured PID is meaningful). Negative control (manual, NOT in CI, documented in test header): Comment out installSigchldHandler() in src/cli.ts -> rebuild -> re-run -> expect stat=Z. Re-enable -> expect stat empty (process gone, reaped). Demonstrates the test catches the regression class without paying CI cost for a separate broken-build target. Skips: - DATABASE_URL not set (matches existing E2E pattern in helpers.ts) - Windows (POSIX-only; tini and SIGCHLD don't exist there) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(postgres-engine): make disconnect() idempotent so it doesn't clobber the module-level singleton PostgresEngine.disconnect() was non-idempotent: after the first call ended \`_sql\` and set it to null, a second call fell through to the \`else\` branch that calls db.disconnect() — which clears the GLOBAL module-level connection used by helpers.ts, the CLI main path, and every test that hadn't opted into a private pool. This bit minions-shell.test.ts and the entire downstream E2E suite when commit |
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9c2dc4cd54 |
v0.26.8 feat(migration): v35 auto-RLS event trigger — new tables always secure (#612)
* feat(migration): v35 auto-RLS event trigger — new tables always secure Postgres event trigger that fires on every CREATE TABLE and auto-enables Row Level Security. Prevents the face_detections bug: tables created outside gbrain migrations (Baku, manual SQL, other apps sharing the same Supabase project) were silently unprotected until gbrain doctor caught it. This is the Supabase-recommended approach — no dashboard toggle exists. Migration v35 (auto_rls_event_trigger): - CREATE FUNCTION auto_enable_rls() — event trigger handler - CREATE EVENT TRIGGER auto_rls_on_create_table — fires on ddl_command_end - PGLite: no-op (no RLS engine, no event triggers) Tests (3 cases): - Event trigger exists after migration - New table automatically gets RLS enabled - auto_enable_rls function exists Closes the gap identified in production on 2026-05-04 when face_detections was found without RLS. * feat(migration): v35 — drop FORCE, public-only, bundle backfill, cover CTAS+SELECT INTO Apply the corrections surfaced by /plan-eng-review + /codex consult against the original PR #612. The trigger now matches v24/v29/schema.sql posture (ENABLE only, no FORCE), scopes to the public schema, and covers all three table-creation syntaxes Postgres reports. Bundles a one-time backfill of every existing public.* table without RLS, honoring doctor.ts's GBRAIN:RLS_EXEMPT regex and quoting identifiers via format('%I.%I'). Drops the EXCEPTION wrap inside the trigger so per-table failures abort the offending CREATE TABLE (loud rollback) rather than producing a silent permissive default. Drops the hand-rolled privilege pre-check — the runner already fails loud on permission errors and gates the version bump. Breaking change: operators with intentionally-RLS-off public tables must add the GBRAIN:RLS_EXEMPT comment before upgrading or the backfill will flip them on. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Wintermute <wintermute@garrytan.com> Co-authored-by: Garry Tan <garrytan@gmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> |
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f0825018dd |
v0.26.3 feat(admin): observability + per-agent config + auth hardening (#586)
* feat(admin): legacy API keys alongside OAuth clients in dashboard Adds API key management to the admin dashboard: Server (serve-http.ts): - GET /admin/api/api-keys — list legacy access_tokens with status - POST /admin/api/api-keys — create new bearer token - POST /admin/api/api-keys/revoke — revoke by name - Stats endpoint now includes active_api_keys count Admin UI (Agents.tsx): - Tabbed view: 'OAuth Clients' | 'API Keys' - API Keys tab: table with name, status, created, last used, revoke button - Create API Key modal with name input - Token reveal modal with copy button + warning - Badge showing active key count on tab Both auth methods (OAuth 2.1 client_credentials and legacy bearer tokens) now visible and manageable from a single admin surface. * feat(admin): remember admin token in localStorage + auto-reauth Login flow: - First login: paste token, saved to localStorage - Subsequent visits: auto-login from localStorage (no paste needed) - Shows 'Authenticating...' spinner during auto-login - If saved token is stale (server restarted), clears it and shows login form Session recovery: - If session cookie expires mid-use (server restart, 24h expiry), the API layer auto-reauths with the saved token before redirecting to login - Transparent to the user — one failed request triggers reauth + retry - Only falls back to login page if the saved token itself is invalid Security: - Token stored in localStorage (same-origin, tailnet-only deployment) - Cleared automatically when token becomes invalid - Cookie remains HttpOnly + SameSite=Strict for the actual session * feat(admin): rich request logging + agent activity tracking Server: - mcp_request_log now captures params (jsonb) and error_message (text) - Agents API returns last_used_at, total_requests, requests_today - Request log API supports agent/operation/status filtering via query params - SSE broadcast includes params and error details Agents page: - Shows 'Requests today / total' and 'Last used' (relative time) per agent - Removed Client ID column (low signal, shown in drawer) Request Log page: - New 'Params' column — shows query text, slug, or param count inline - Click any row to expand full details (params JSON, error message, timestamps) - Click agent name to filter all requests by that agent - Agent filter dropdown in header - Error messages shown in red in expanded view What this means: when Claude Code searches for 'pedro franceschi', the admin dashboard shows the search query, which agent ran it, how long it took, and whether it succeeded — all clickable. * feat(admin): magic link login — ask your agent for the URL New flow: 1. User opens /admin → sees 'This is a protected dashboard' 2. UI tells them: 'Ask your AI agent for the admin login link' 3. Agent generates: https://host:port/admin/auth/<token> 4. User clicks the link → auto-authenticates → redirects to dashboard 5. Session lasts 7 days (magic link) vs 24h (manual token paste) Server: GET /admin/auth/:token validates the bootstrap token, sets HttpOnly cookie, redirects to /admin/. Invalid tokens get a plain text error telling them to ask their agent for a fresh link. Login page: primary UX is the 'ask your agent' prompt with example. Manual token paste collapsed under a <details> disclosure. * feat(admin): config export for Claude Code, ChatGPT, Claude.ai, Cursor, Perplexity Agent drawer now shows setup instructions for 5 clients + raw JSON: - Claude Code: .mcp.json with bearer token + curl to mint - ChatGPT: Settings → Tools → MCP with OAuth discovery - Claude.ai (Cowork): Connected Apps → MCP with OAuth - Cursor: .cursor/mcp.json with OAuth config - Perplexity: Connectors with client ID/secret - JSON: raw config with all URLs (server, token, discovery) All snippets use the actual server URL (window.location.origin) instead of placeholder YOUR_SERVER. Client ID pre-filled. * feat(admin): per-client token TTL — configurable token lifetime Problem: OAuth tokens expire in 1 hour (hardcoded). Claude Code's built-in OAuth client doesn't auto-refresh, so users get 401s every hour. Fix: per-client token_ttl column on oauth_clients table. Set at registration time or updated later via the admin dashboard. Server: - oauth_clients.token_ttl column (nullable integer, seconds) - exchangeClientCredentials reads per-client TTL, falls back to server default - POST /admin/api/register-client accepts tokenTtl param - POST /admin/api/update-client-ttl for existing clients - Agents API returns token_ttl for display Admin UI: - Register modal: Token Lifetime dropdown (1h, 24h, 7d, 30d, 1y, no expiry) - Agent drawer: shows current TTL in Details section Presets: gstack-desktop and garry-claude-code set to 30-day tokens. * fix(admin): request log shows agent name instead of truncated client_id Resolves client_id → client_name via LEFT JOIN on oauth_clients (and access_tokens for legacy keys). Agent column now shows 'gstack-desktop' instead of 'd0db7692caf5…'. Clickable to filter by agent. * feat(admin): DESIGN.md + left-align everything DESIGN.md establishes the admin dashboard design system: - Left-align all text (Garry preference) - Inter + JetBrains Mono (shared DNA with GStack) - No accent color — semantic badges carry all color - Dense utilitarian ops dashboard - Component specs and anti-patterns documented CSS: login-box text-align center → left * feat(admin): unified agent view + resolved agent names in request log Agent names stored at log time (agent_name column). Agents page shows OAuth clients and API keys in one unified table. Request log shows human-readable names. Backfilled 1,114 existing entries. * feat(admin): working Revoke Agent button + e2e tests Bugs fixed: - Revoke Agent button was a no-op (no onClick handler, no API endpoint) - Legacy API key tokens got 401 at /mcp (missing expiresAt in AuthInfo) - token_ttl and deleted_at queries failed on PGLite (columns don't exist) Server: - POST /admin/api/revoke-client: soft-deletes oauth_clients + purges tokens - exchangeClientCredentials checks deleted_at (graceful if column missing) - Legacy token verify returns expiresAt (1yr future) for SDK compat UI: - Revoke button: confirm dialog → revoke → close drawer → reload table - Shows 'This agent has been revoked' for revoked agents E2E tests (2 new cases, 17 total): - revoke client via admin API invalidates all tokens (mint → use → revoke → verify rejected → mint fails) - revoke API key via admin API (create → use at /mcp → revoke → verify rejected) 52 tests, 0 failures, 213 assertions across unit + e2e. * fix(test): e2e tests clean up after themselves — no more orphan clients Problem: every test run left e2e-oauth-test, e2e-revoke-test, and e2e-revoke-key-test rows in oauth_clients and access_tokens. The CLI-based cleanup in afterAll was failing silently. Fix: - beforeAll: SQL DELETE of any e2e-* orphans from previous crashed runs - afterAll: direct SQL cleanup of oauth_tokens, oauth_clients, access_tokens, mcp_request_log — all rows matching 'e2e-%' pattern - No reliance on CLI commands for cleanup (they fail silently) Verified: 52 tests pass, 0 test rows remain after run. * feat(admin): hide revoked toggle on Agents page * fix(admin): styled error page for expired magic links Matches the login page aesthetic instead of plain text. Dark theme, GBrain logo, explains the link expired, tells user to ask their agent. * fix(admin): clean config export — auth-type-aware Claude Code instructions * fix(admin): rewrite all config exports — command language, auth-type-aware, verified syntax * fix(admin): API key rows clickable with revoke + sync all fixes from master Syncs all accumulated fixes onto the PR branch: - API key rows in agents table now open drawer with Revoke button - API keys show bearer token usage hint instead of config export tabs - Config export snippets use command language directed at the AI agent - Styled expired magic link error page - Hide revoked toggle - Test cleanup via direct SQL - All v0.26.2 upstream fixes incorporated * fix(oauth): port coerceTimestamp helper from master |
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v0.26.1 fix(oauth): client_credentials tokens rejected by MCP bearer auth (#577)
* fix(oauth): client_credentials tokens rejected by MCP bearer auth
Three bugs found in production when connecting Claude Code via Tailscale:
1. Token validation fails with 'Token has no expiration time'
- Root cause: postgres driver with prepare:false returns expires_at as
string, but MCP SDK's bearerAuth middleware checks typeof === 'number'
- Fix: Number(row.expires_at) in verifyAccessToken
2. OAuth metadata missing client_credentials grant type
- Root cause: MCP SDK hardcodes ['authorization_code', 'refresh_token']
in mcpAuthRouter's .well-known endpoint
- Fix: middleware intercepts metadata response and appends
'client_credentials' before it reaches the client
- Claude Code's native OAuth auto-discovery now finds the CC flow
3. Express 5 compatibility fixes
- trust proxy: 'loopback' for reverse proxy deployments (Caddy/Tailscale)
without this, express-rate-limit throws ERR_ERL_UNEXPECTED_X_FORWARDED_FOR
- /admin/* wildcard → /admin/{*path} (Express 5 named param syntax)
* test(oauth): add regression tests for v0.26.1 fixes
Unit test (oauth.test.ts):
- expiresAt is always a number, not string — SDK bearerAuth compat
Integration tests (serve-http-oauth.test.ts, 7 cases):
- client_credentials token accepted at /mcp (the actual regression)
- token expires_in matches server TTL
- OAuth metadata includes client_credentials grant type
- token endpoint discoverable from metadata
- admin dashboard serves SPA (Express 5 wildcard fix)
- X-Forwarded-For doesn't crash rate limiter (trust proxy fix)
- read-only token cannot call write operations (scope enforcement)
42 tests, 0 failures, 172 assertions.
* test(e2e): full E2E suite for serve-http OAuth 2.1 (15 cases)
Spins up a real gbrain serve --http against real Postgres, registers an
OAuth client, mints tokens via client_credentials, and exercises the full
MCP JSON-RPC pipeline end-to-end.
E2E cases (test/e2e/serve-http-oauth.test.ts):
- mint token via client_credentials grant
- minted token accepted at /mcp — tools/list returns tools
- minted token works for tools/call — search executes
- expired/invalid token rejected at /mcp
- missing Authorization header returns 401
- OAuth metadata includes all three grant types
- OAuth metadata issuer matches public URL
- admin dashboard serves SPA (Express 5 wildcard fix)
- admin sub-routes serve SPA fallback
- X-Forwarded-For doesn't crash rate limiter
- read-only token rejected for write operations
- write-scoped token can call read operations
- health endpoint works without auth
- multiple tokens work independently
- wrong client_secret rejected at token endpoint
Unit test addition (test/oauth.test.ts):
- expiresAt is always typeof number (SDK bearerAuth compat)
Total: 50 tests, 0 failures, 201 assertions.
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Co-authored-by: Wintermute <wintermute@garrytan.com>
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