Dispatch timeout was derived as interval*2 with a 5-minute floor, tuned
for light per-interval work. A full autopilot cycle routinely needs more
than 10 minutes at common intervals, so healthy full cycles were killed
mid-run. Full-cycle dispatch now gets a 30-minute floor; lighter
dispatches keep the interval-derived budget.
Adds a regression test for the full-cycle floor.
upsertChunks fell back to the compile-time DEFAULT_EMBEDDING_MODEL
('zeroentropyai:zembed-1') when a ChunkInput carried no explicit `model`.
The embed pipeline (src/commands/embed.ts) builds ChunkInputs without a
`model` field, so rows whose vectors were produced by the config-resolved
model (e.g. openai:text-embedding-3-large) were mislabeled with the
hardcoded default — corrupting the provenance that signature-drift
staleness and dimension-migration logic depend on.
Both engines now resolve the gateway's runtime embedding model once per
upsert and use it as the fallback, mirroring the existing resolve-then-
default pattern used for schema sizing. Regression test added (pglite);
verified via negative control that it fails against the old fallback.
This is a write-path change (upsertChunks), not a search-path change, so
retrieval eval replay is not applicable.
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
`sources.config` is a jsonb OBJECT column, but a read→write cycle that
JSON.stringify'd an already-stringified value re-wrapped it into a JSON string
scalar ("{}", "\"{}\"", ...) that grew one layer per write. parseSourceConfig
only unwrapped one layer, so the corruption never healed and federation/ACL
reads saw a string instead of the settings object.
- Add normalizeSourceConfig: a bounded (10-iteration) loop that JSON.parses
while the value is a string and returns {} (with a console.warn) when the
result is not a plain object. All six `UPDATE sources SET config` writers run
their config through it before stringify, converging the stored value back to
a jsonb object on the next write.
- parseSourceConfig now does the same bounded unwrap and warns once when more
than one layer was found (one layer is the normal PGLite path).
- Add a `source_config_shape` doctor check that flags any sources row where
jsonb_typeof(config) <> 'object', with the repair path.
- Unit-test the helper (object passthrough, 1-layer, 5-layer nested, garbage
and over-bound inputs) and the doctor check (mock engine).
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
Issue #2298: 'gbrain doctor' surfaced two distinct timeline
metrics under the same user-facing 'timeline' label:
1. Entity timeline coverage (graph_coverage metric)
- numerator: eligible entity pages WITH a timeline entry
- denominator: eligible entity pages
- 0-1 fraction, surfaced by graph_coverage check
2. Whole-brain timeline density (brain-score 0-15 component)
- numerator: all pages WITH a timeline entry
- denominator: all pages
- 0-15 scale, surfaced by brain_score breakdown
These have DIFFERENT numerators/denominators. The old single
'timeline X%' label let a reader mistake the entity-scoped
percentage for whole-brain density.
Presentation/contract clarity only — scoring formula,
health weights, takes, source routing, extraction UNCHANGED.
- doctor.ts graph_coverage: 'timeline X%' -> 'entity timeline coverage X%'
- doctor.ts brain_score: 'timeline X/15' -> 'timeline density (all pages) X/15'
- cli.ts get_health: 'Timeline coverage (entity pages)' ->
'Timeline density (all pages): X/15 (whole-brain brain-score component)'
Test: test/doctor-timeline-metric-labels-2298.test.ts uses a
synthetic in-memory PGLite fixture (NO private EriadorMu data):
4 total pages, 2 eligible entity pages, 1 entity page with a
timeline entry, 1 total page with a timeline entry.
Expected: entity coverage 1/2 = 50%; whole-brain density
1/4 -> round(25% * 15) = 4/15. Asserts the two metrics
render with distinct scoped labels and the brain-score component
is explicitly whole-brain (no 'entity' in its label). 5/5 pass.
Addresses #2298
extractStaleFromDB still used the pre-#972 `includeFrontmatter ? resolver :
nullResolver` ternary. The synthetic resolver has no resolveBasenameMatches,
so the gate in extractPageLinks skipped the issue-#972 bare-wikilink pass
regardless of link_resolution.global_basename — the sweep stamped every page
as extracted while silently dropping its [[bare-name]] links. Same brain,
same pages: `extract --stale` created 0 links where `extract links --source
db` created 218.
- Always pass the real batch resolver; gate passes via extractPageLinks opts
({ skipFrontmatter: !includeFrontmatter, globalBasename }), mirroring
extractLinksFromDB — including the codex-[P1] sourceId scoping.
- Bump LINK_EXTRACTOR_VERSION_TS (documented protocol) so pages stamped by
the broken sweep re-flag stale and re-extract under the fixed logic.
- Regression tests: bare wikilink resolves on --stale with the flag ON;
still drops with the flag OFF (back-compat). The #1768 fixture now derives
its updated_at from LINK_EXTRACTOR_VERSION_TS instead of a hardcoded date,
so future version bumps can't silently flip its version arm.
Fixes bug 1 + bug 3 of #2576. Bug 2 (DIR_PATTERN gaps) is a separate
whitelist design call, intentionally not addressed here.
Co-authored-by: YMYD <53603073+OJ-OnJourney@users.noreply.github.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
An empty --content (most commonly a non-interactive caller that meant
file input — put has no --file flag — so the missing --content fell
back to reading empty stdin) silently blanked existing pages. put_page
now rejects an empty/whitespace-only body over an existing non-empty
page with invalid_params, pointing at `gbrain capture --file PATH
--slug SLUG` for file input; allow_empty: true (CLI: --allow-empty)
opts into an intentional blank. The guard read is scoped to the exact
(source_id, slug) row the write targets; new-slug creates and
soft-deleted-page overwrites stay allowed.
Co-authored-by: Matthew Thompson <matthew@symmetric-consulting.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
DashScope's OpenAI-compatible rerank endpoint lives at
{base}/compatible-api/v1/reranks — PLURAL leaf, different base path from
the embedding surface (compatible-mode). Reusing llama-server-reranker
against DashScope forces users to hand-patch the recipe's '/rerank' leaf
in node_modules, which every upgrade silently reverts (and llama.cpp
genuinely serves singular /rerank, so changing that recipe would break
real llama.cpp users).
New dedicated recipe rides the v0.40.6.1 recipe-pluggable reranker path:
- id dashscope-rerank, base_url_default compatible-api/v1 (intl), ZE wire
- path '/reranks', default_timeout_ms 30s, 5MB payload ceiling
- models: only qwen3-rerank (live-verified 200; gte-rerank-v2 is rejected
by the compat surface with 'Unsupported model for OpenAI compatibility
mode', so it is deliberately not listed)
- separate recipe (not a reranker touchpoint on dashscope) because
provider_base_urls is keyed by recipe id and the two capabilities need
different prefixes — same topology as llama-server vs
llama-server-reranker
Tests: recipe shape smoke mirroring recipe-llama-server-reranker.test.ts
(path/timeout/payload pins, /v1/v1 concat guard, auth resolve, sibling
recipe isolation). bun test test/ai/: 322 pass / 0 fail.
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
The four `hybridSearch — reranker enabled (reorder)` cases stub the gateway
at 1536 dims (DIMS). Since v0.36.3.0 hybridSearch resolves the embedding
column via loadConfig(), whose precedence is
cfg.embedding_dimensions > gateway dims > default. On any machine whose
~/.gbrain/config.json sets embedding_dimensions to something other than 1536
(e.g. text-embedding-3-small at 1280), the real config outranks the stub: the
1536-d stub vector fails the gateway dim check, the error is swallowed, search
falls back to keyword-only, and the reranker never runs (rerankerFn gets 0
docs, rerank_score undefined). Green in CI only because a fresh runner has no
config file — deterministic red on a contributor's machine.
Fix (test-only): isolate GBRAIN_HOME to an empty tmpdir in beforeAll so
loadConfig() returns null and the stub's dims win, then restore it and clean
up in afterAll. Same idiom as emptyHome() in
test/ai/gateway-probe-chat-model.test.ts.
Verified with a planted ~/.gbrain/config.json at 1280 dims: 2 pass / 4 fail
before, 6 pass / 0 fail after; still green with no config file. typecheck clean.
Fixes#1527
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
getHealth's entity_pages CTE and the top-linked-pages query only match the
legacy 'person' and 'company' types, so brains using the gbrain-base-v2
pack's 'entity' type report 0% entity link/timeline coverage in `gbrain
health` even when doctor's graph_coverage shows real coverage. Add 'entity'
to both queries in both engines (PGLite + Postgres, in lockstep per the
engine-parity rule) and extend the getHealth graph-metrics test with an
entity-typed page.
Validation: bun test test/pglite-engine.test.ts --test-name-pattern 'getHealth graph metrics' (5 pass).
Replace the strictly sequential per-chunk synopsis loop with a bounded
sliding worker pool (existing runSlidingPool helper). Results land in
chunk order via index-addressed writes; code chunks still bypass the
wrapper; embedding remains one page-level batch after all synopses.
New knob GBRAIN_CONTEXTUAL_CHUNK_CONCURRENCY, default 4, clamped to
[1,16]; 1 reproduces the prior sequential behavior exactly. Each chunk
task still acquires/releases the global synopsis rate-lease, which
remains the cross-worker governor; the lease id now travels from
acquire to release instead of shared mutable state, and lease waits
are abort-responsive.
At 20-45s per synopsis call, a 120-chunk transcript page previously
needed 60-90+ min wall time and routinely outlived job timeouts.
statusForVersion short-circuited on any 'complete' entry before checking
the trailing 'retry' marker, so --force-retry appended an inert row and a
version marked complete with zero work done could never be re-run without
hand-editing completed.jsonl. Check retry-latest first: an explicit
--force-retry now yields 'pending' even past an earlier 'complete', while
a stray 'partial' after 'complete' still cannot regress the version.
gbrain list --limit 100000 silently returned 100 rows (default 50) with
no warning, and --offset was accepted but dropped at the op layer even
though PageFilters has supported it all along.
- Local CLI callers (ctx.remote === false, the same trust boundary that
already bypasses scope enforcement) get an explicit limit above 100
honored — full enumeration is a legitimate local operation.
- Remote MCP/OAuth callers keep the 100-row DoS cap, now loud: one
logger.warn (stderr, stdout stays script-clean) with both numbers,
parity with the three search-path clamp warnings.
- offset is declared as a param (so the CLI coerces it to number) and
threaded to engine.listPages for real pagination.
Claude-Session: https://claude.ai/code/session_01Vswwe1y5fQbJWfbaSK3enT
Co-authored-by: deacon-botdoctor <291411030+deacon-botdoctor@users.noreply.github.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
SupabaseStorage.getSignedUrl built the download URL as `${projectUrl}${signedURL}`,
but Supabase's sign API returns `signedURL` relative to the Storage API root
(/object/sign/<bucket>/<path>?token=...), so the generated link dropped /storage/v1
and returned 404. Now prepends `${projectUrl}/storage/v1`, tolerating an
already-absolute URL or a value that already carries the prefix. `gbrain files
signed-url` links resolve again.
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Reasoning models (MiniMax-M3, DeepSeek-R1, etc.) return <think>...</think>
tags in the content field before the actual JSON output. This caused
parseExtractorOutput to fail in two ways:
1. The fence regex /^\`\`\`(json)?...$/ requires the fence at text start;
<think> preceding it prevents matching, so the raw text (with trailing
fences) hits JSON.parse and throws.
2. When think tags contain [ or { characters, indexOf finds them inside
the reasoning block instead of the actual JSON array.
Changes:
- Strip <think>...</think> tags before any parsing (covers all reasoning models)
- Add JSON.parse fallback: truncate at last ] or } to handle trailing
noise (leftover markdown fences after stripping)
Tests: 28/28 pass (3 new cases for think tags + trailing noise).
Co-authored-by: qaz8545355 <junjun@openclaw.local>
The idempotency row is only written inside `for (const p of proposals)`, so a
page that extracts ZERO gradeable claims never records an idempotency tuple
and is re-sent to the LLM on every cycle forever. The docstring's "unchanged
page never re-spends tokens" contract only holds for pages that produce >=1
claim; a page that legitimately has no gradeable claims (or any machine-
generated page) is a perpetual cache miss and re-spends tokens indefinitely.
Fix: when `proposals.length === 0`, write one tombstone row keyed by the same
(source_id, page_slug, content_hash, prompt_version) tuple, with
status='rejected' so it never surfaces in a pending-review query (the pending
index filters status='pending'). Content changes (new content_hash) or a
PROPOSE_TAKES_PROMPT_VERSION bump still miss the tombstone and re-extract. The
extractor-throw path `continue`s before the tombstone, so failed pages are
retried rather than cached.
Guard against a subtle regression: `parseExtractorOutput` returns [] for BOTH
a genuine empty extraction AND malformed/prose/truncated model output, so
naively tombstoning every [] would permanently suppress a page that has claims
but hit a transient parse failure. `defaultExtractor` now throws when the
output is empty-but-not-a-clean-`[]` (new `isWellFormedEmptyExtraction`
predicate), routing transient failures into the existing retry path; only a
cleanly-parsed empty array is memoized.
Adds a `tombstones_written` counter for observability.
Tests: tombstone written on genuine empty extraction; two-cycle idempotency
(no repeat LLM call on an unchanged zero-claim page); extractor error writes
no tombstone; isWellFormedEmptyExtraction discriminates clean-[] from
malformed/prose/non-empty output. propose-takes suite: 36 pass / 0 fail.
Co-authored-by: ivandebot <187176982+ivandebot@users.noreply.github.com>
The empty-fence guard counted every `row_num IS NULL AND entity_slug IS NOT NULL`
row as a pending v0_32_2 backfill, but the inline facts writer keeps producing
rows of exactly that shape post-migration: when a resolved slug has no fenceable
page (slugify-floor / stub-guard-blocked unprefixed slugs like `wingman`,
`people-jane-doe`), backstop.ts falls through to a DB-only insert with row_num
NULL. Those rows are structurally unfenceable — no page to fence onto, and the
ledger-complete migration won't re-run — so they jammed the phase forever
(~16/day observed) and the warning advised a no-op `apply-migrations --yes`.
Discriminator: a row is a genuine backfill candidate only if its entity_slug
resolves to a LIVE page in the same source (EXISTS in `pages` with deleted_at
NULL) — mirroring the migration's Phase B, which only fences slugs that map to
a writable page. Genuine pre-v0.32.2 rows (their entity page exists) still gate;
inline-writer unfenceable rows no longer do. Warning text updated to name the
"entity page present, not yet fenced" condition.
Regression tests pin both sides: unfenceable rows (no page / soft-deleted page)
do NOT gate and the phase converges; a legacy row WITH a backing page still
gates. Fails pre-fix, passes post-fix.
(#2484)
Co-authored-by: Javier Aldape <javieraldape@Javiers-Laptop.local>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
`gbrain schema stats` reported "Total pages: 0" on populated brains because
fetchCountRows wrapped its count query in a bare `catch { return []; }` that
converted EVERY error into zero rows — false 0 pages, false "100% coverage"
(0/0 → vacuous 1.0), and a starved `schema suggest`. A sibling bare catch in
detectDeadPrefixes had the same defect.
Root cause is the masked error, NOT a PGLite query incompatibility: reproduced
the exact COUNT query (COALESCE/NULLIF/GROUP BY/ORDER BY ... NULLS LAST) against
the pinned PGLite 0.4.3 (PG17.5) through the real engine + full schema, plus
PG18 and NULL/empty edge-case data — it returns correct counts every time and
never throws. The issue's "the query is failing on PGLite" premise doesn't
reproduce; the actual failure on the reporter's brain was hidden by the catch
(they could not capture it, consistent with an engine/init-level throw). The
honest fix is to stop hiding it.
Both catches now swallow ONLY the genuine missing-table case via the existing
isUndefinedTableError helper (SQLSTATE 42P01 + PGLite "relation ... does not
exist") and rethrow everything else, so the next occurrence shows the real
error instead of a fake zero. Pre-init/empty-brain behavior is preserved.
Regression: 4 new cases in test/schema-pack-stats.test.ts pin (1) real non-zero
count on a populated PGLite brain, (2) fetchCountRows rethrows a non-missing-
table error, (3) fetchCountRows still degrades to empty on 42P01, (4)
detectDeadPrefixes rethrows via the sibling catch. Each error-surfacing test
verified to fail when its catch is re-broadened.
Co-authored-by: Javier Aldape <javieraldape@Javiers-Laptop.local>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
