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Author SHA1 Message Date
0de9eb68ba v0.26.5 feat: destructive operation guard end-to-end (sources + pages + autopilot purge) (#600)
* feat(v0.26.5): destructive operation guard — impact preview, confirmation gate, soft-delete

Three-layer protection against accidental data loss:

1. **Impact preview**: Every destructive operation (sources remove, purge)
   now shows a formatted preview of exactly what will be destroyed —
   page count, chunk count, embedding count, file count — BEFORE acting.

2. **--confirm-destructive flag**: `--yes` alone is no longer sufficient
   when a source has data. Must pass `--confirm-destructive` to proceed
   with permanent deletion. Prevents scripted/reflexive destroys.

3. **Soft-delete with 72h TTL**: New `gbrain sources archive <id>`
   hides a source from search and federation without destroying any data.
   Data preserved for 72 hours. Restorable via `gbrain sources restore <id>`.
   Expired archives purged via `gbrain sources purge`.

New subcommands:
  - `gbrain sources archive <id>` — soft-delete (hide, preserve 72h)
  - `gbrain sources restore <id>` — un-archive, re-federate
  - `gbrain sources archived` — list soft-deleted sources + TTL
  - `gbrain sources purge [<id>] [--confirm-destructive]` — permanent delete

Behavioral changes:
  - `sources remove` with data now requires `--confirm-destructive` (not just `--yes`)
  - `sources remove --dry-run` shows full impact preview without side effects
  - Impact box format shows source name, id, and all cascade counts

New files:
  - src/core/destructive-guard.ts — impact assessment, confirmation gate,
    soft-delete/restore/purge logic, display formatters

* chore(release): v0.26.5 — destructive operation guard

Bump VERSION + package.json to 0.26.5 and add the v0.26.5 CHANGELOG entry
on top of the destructive-guard feature commit cherry-picked from PR #595.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(v0.26.5): page-level soft-delete + autopilot purge + search visibility

Closes the destructive-guard posture across every gbrain destructive surface.
PR #595 cherry-pick covered the CLI source-remove path; this commit closes
the higher-velocity MCP `delete_page` agent footgun and the three internal
correctness gaps the CEO+Eng review surfaced:

- Gap 1: archived sources were not actually filtered from search. Now they
  are, via `buildVisibilityClause` in `searchKeyword`/`searchKeywordChunks`/
  `searchVector` for both engines.
- Gap 2: 72h TTL was honor-system. Now wired into a new autopilot `purge`
  phase (9th in ALL_PHASES) that calls `purgeExpiredSources` + `engine.
  purgeDeletedPages(72)`. Manual escape hatch: `gbrain pages purge-deleted`.
- Gap 3: zero tests for safety-critical code. ~30 cases now in
  `test/destructive-guard.test.ts`, `test/pages-soft-delete.test.ts`, and
  `test/sql-ranking.test.ts` covering the boundary truth table, JSONB→column
  migration, soft-delete/restore/purge round-trip, multi-source isolation,
  cascade verification, and the Q3 IRON-rule contract test.

Schema migration v33 (`destructive_guard_columns`): adds `pages.deleted_at`
+ partial purge index, promotes `archived` from `sources.config` JSONB to
real columns (`sources.archived BOOLEAN`, `archived_at`, `archive_expires_at`),
backfills any pre-v0.26.5 JSONB shape. Engine-aware: Postgres uses CREATE
INDEX CONCURRENTLY, PGLite uses plain CREATE INDEX. Forward-reference
bootstrap extended in both engines so pre-v0.26.5 brains don't crash on the
embedded-schema replay.

BrainEngine surface: new `softDeletePage` / `restorePage` /
`purgeDeletedPages` methods + `includeDeleted` flag on `getPage`/`listPages`.
MCP ops: `delete_page` rewired to soft-delete (description string updated);
new `restore_page` (scope: write) + `purge_deleted_pages` (scope: admin,
localOnly: true).

Q3 contract (eng-review lynchpin): `get_page(slug)` returns null for
soft-deleted by default; `get_page(slug, {include_deleted: true})` surfaces
the row with `deleted_at` populated. Same flag for `list_pages`. Mirrors
the search-filter contract end-to-end.

Issue 5 (eng-review): `archived` is now a real column on `sources`, not a
JSONB key. No reserved-key footgun. Faster filter. Visibility clause
compiles to a column lookup, not JSONB containment.

Verification:
- bun run typecheck: PASS
- bun run build:schema + bun run build:llms: regenerated
- targeted test runs: 90 pass / 0 fail across destructive-guard,
  pages-soft-delete, sql-ranking, schema-bootstrap-coverage, build-llms
- full bun test: 16 pre-existing failures inherited from v0.26.2 (sync,
  sync-parallel, queue-child-done, etc — already filed in TODOS.md as
  "Fix 22 pre-existing test failures unrelated to OAuth")

CHANGELOG, CLAUDE.md (Key Files + Commands), TODOS.md updated. The plan
file at ~/.claude/plans/take-a-look-and-gentle-pine.md captures the full
review trail (CEO=C, Eng-Q3=A, Eng-Issue5=a, 8 defaults applied).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(v0.26.5): CI fallout — getStats excludes soft-deleted; tests use --confirm-destructive

Two CI failures from the v0.26.5 ship:

1. **Tier 1 (Postgres E2E):** `E2E: Page CRUD > delete_page removes page and
   others survive` failed because `delete_page` now soft-deletes (sets
   deleted_at) but `getStats.page_count` was still counting all rows. The
   test seeds 16 pages, deletes one, and asserts page_count is 15. Fix:
   `getStats` now filters `WHERE deleted_at IS NULL` for page_count in both
   engines. This matches the visibility-filter contract — soft-deleted pages
   are hidden everywhere the user looks (search, get_page, list_pages, stats).
   Chunks and links stay raw because they still occupy storage until the
   autopilot purge phase runs.

2. **Test 2 (PGLite unit):** `multi-source-integration.test.ts:184` and
   `e2e/multi-source.test.ts:274` called `runSources(engine, ['remove', X,
   '--yes'])` against populated sources. v0.26.5's destructive guard rejects
   `--yes` alone on populated sources and calls `process.exit(5)`, which
   killed the bun test runner mid-suite (CI exit 5). Both test sites now
   pass `--confirm-destructive` per the v0.26.5 contract.

Verification: 115/0 pass across destructive-guard, pages-soft-delete,
sql-ranking, schema-bootstrap-coverage, sources, repos-alias, and
multi-source-integration test files. typecheck PASS.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(test): cycle phase count is 9 (v0.26.5 added `purge` phase)

CI failure: `runCycle — yieldBetweenPhases hook` tests asserted exactly 8
phases. v0.26.5 added the autopilot `purge` phase as the 9th, so:

- `test/core/cycle.test.ts:381` — `hookCalls` is now 9 (one yield per phase)
- `test/core/cycle.test.ts:392` — `report.phases.length` is now 9
- `test/e2e/cycle.test.ts:101` — same update for the dry-run E2E

The `purge` phase invocation was already visible in the failing log output:
the cycle ran 9 phases end-to-end; the test assertions hadn't been updated.

Verification: bun run typecheck PASS. cycle.test.ts: 28/0 pass.

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: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 20:41:39 -07:00
3c032d79ec v0.26.0 feat: GBrain — MCP Keys OAuth 2.1 + HTTP server + admin dashboard (#358)
* feat: OAuth 2.1 schema tables + shared token utilities

Add oauth_clients, oauth_tokens, oauth_codes tables to both PGLite and
Postgres schemas. Migration v5 creates tables for existing databases.
PGLite now includes auth infrastructure (access_tokens, mcp_request_log,
OAuth tables) because `serve --http` makes it network-accessible.

Extract hashToken() and generateToken() to src/core/utils.ts for DRY
reuse across auth.ts and oauth-provider.ts.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: GBrainOAuthProvider — MCP SDK OAuthServerProvider implementation

Implements OAuthServerProvider backed by raw SQL (PGLite or Postgres).
Supports client credentials, authorization code with PKCE, token refresh
with rotation, revocation, and legacy access_tokens fallback.

Key decisions from eng review:
- Uses raw SQL connection, not BrainEngine (OAuth is infrastructure)
- All tokens/secrets SHA-256 hashed before storage
- Legacy tokens grandfathered as read+write+admin
- sweepExpiredTokens() wrapped in try/catch (non-blocking startup)
- Client credentials: no refresh token per RFC 6749 4.4.3

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: scope + localOnly annotations on all 30 operations

Add AuthInfo, scope ('read'|'write'|'admin'), and localOnly fields to
Operation interface. Per-operation audit:
- 14 read ops, 9 write ops, 2 admin ops, 4 admin+localOnly ops
- sync_brain, file_upload, file_list, file_url: admin + localOnly
- Scope enforcement happens in serve-http.ts before handler dispatch

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: HTTP MCP server with OAuth 2.1 + 27 OAuth tests

gbrain serve --http starts Express 5 server with:
- MCP SDK mcpAuthRouter (authorize, token, register, revoke endpoints)
- Custom client_credentials handler (SDK doesn't support CC grant)
- Bearer auth + scope enforcement on /mcp tool calls
- Admin dashboard auth via HTTP-only cookie + bootstrap token
- SSE live activity feed at /admin/events
- DCR default OFF (--enable-dcr to enable)
- Rate limiting on /token (50/15min)
- localOnly operations excluded from HTTP

CLI: gbrain serve --http [--port 3131] [--token-ttl 3600] [--enable-dcr]

Dependencies: express@5.2.1, express-rate-limit@7.5.1, cors@2.8.6
SDK pinned to exact 1.29.0 (was ^1.0.0)

27 new tests covering OAuth provider, scope enforcement, auth code flow,
refresh rotation, token revocation, legacy fallback, and sweep.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* feat: React admin dashboard — 7 screens, dark theme, Krug-designed

Admin SPA at /admin with client-side routing (#login, #dashboard,
#agents, #log). Built with Vite + React, served from admin/dist/.

Screens:
- Login: one field, one button, zero happy talk
- Dashboard: metrics bar, SSE live activity feed, token health panel
- Agents: table with scopes/badges, + Register Agent button
- Register: modal form (name, scopes), 3 mindless choices
- Credentials: full-screen modal, copy buttons, download JSON, warning
- Request Log: paginated table (50/page), time-relative timestamps
- Agent Detail: slide-out drawer, config export tabs (Perplexity/Claude/JSON)

Design tokens: #0a0a0f bg, Inter + JetBrains Mono, 4-32px spacing.
Build: bun run build:admin (Vite, 65KB gzipped).
Admin API: /admin/api/register-client endpoint for dashboard registration.
SPA serving: Express static + index.html fallback for client-side routing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: add admin SPA lockfile

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

* chore: bump version and changelog (v1.0.0.0)

Milestone release: multi-agent GBrain with OAuth 2.1, HTTP server,
and React admin dashboard. See CHANGELOG.md for details.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* docs: update project documentation for v1.0.0.0

Sync README, CLAUDE.md, and docs/mcp/ with the OAuth 2.1 + HTTP server
+ admin dashboard surface that shipped in v1.0.0.0.

- README.md: new "Remote MCP with OAuth 2.1" section covering
  gbrain serve --http, admin dashboard, scoped operations, legacy
  bearer fallback; add serve --http + auth notes to the commands
  reference.
- CLAUDE.md: add src/commands/serve-http.ts, src/core/oauth-provider.ts,
  admin/ directory as key files; document scope + localOnly additions
  to Operation contract; add oauth.test.ts (27 cases) to the test list;
  add v1.0.0 key-commands section clarifying that OAuth client
  registration is via the /admin dashboard or SDK (no CLI subcommand).
- docs/mcp/DEPLOY.md: promote --http as the recommended remote path,
  add OAuth 2.1 Setup section, list ChatGPT in supported clients,
  remove the "not yet implemented" footer.
- docs/mcp/CHATGPT.md (new): unblocks the P0 TODO. Full ChatGPT
  connector setup via OAuth 2.1 + PKCE.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat: wire gbrain auth subcommand with OAuth register-client

Previously auth.ts was a standalone script invoked via
`bun run src/commands/auth.ts`. CHANGELOG and README documented
`gbrain auth ...` commands that didn't actually work.

- Export `runAuth(args)` from auth.ts (keeps standalone entry intact
  via `import.meta.url === file://${process.argv[1]}` check)
- Add `auth` to CLI_ONLY + dispatch in handleCliOnly
- New subcommand `gbrain auth register-client <name> [--grant-types]
  [--scopes]` wraps GBrainOAuthProvider.registerClientManual
- Lazy DB check: only subcommands that need DATABASE_URL error out

Now the documented CLI flow works end to end:
  gbrain auth register-client perplexity --grant-types client_credentials --scopes "read write"
  gbrain serve --http --port 3131

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* docs: reflect wired gbrain auth register-client CLI

After /ship, the doc subagent wrote docs assuming `gbrain auth
register-client` did not exist (it said so explicitly in CLAUDE.md:184).
A follow-up commit (c4a86ce) wired it into src/cli.ts + src/commands/auth.ts.
These docs were now contradicting reality.

- CLAUDE.md: removed "There is no gbrain auth register-client CLI
  subcommand" claim, documented the three registration paths
  (CLI / dashboard / SDK).
- README.md: replaced `bun run src/commands/auth.ts` hint with
  `gbrain auth create|list|revoke|test` and `gbrain auth register-client`.
- docs/mcp/DEPLOY.md: added CLI registration example above the
  programmatic example.
- TODOS.md: moved "ChatGPT MCP support (OAuth 2.1)" P0 item to
  Completed with v1.0.0.0 completion note. Closes the P0 that had been
  blocking the "every AI client" promise since v0.6.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* fix: enable RLS on OAuth tables + loosen v24-exact test assertion

CI Tier 1 (Mechanical) was failing on 4 E2E tests after the v0.18.1 RLS
hardening landed on master (PR #343). Our v25 oauth_infrastructure migration
adds 3 new public tables (oauth_clients, oauth_tokens, oauth_codes) but
didn't enable RLS, so gbrain doctor's new check flagged them and the
"RLS on every public table" assertion failed.

Fixes:
- src/schema.sql: ALTER TABLE ... ENABLE ROW LEVEL SECURITY for the 3 OAuth
  tables inside the existing BYPASSRLS-gated DO block (fresh installs).
- src/core/migrate.ts v25: append a BYPASSRLS-gated DO block after the OAuth
  CREATE TABLE statements (existing installs on upgrade). Mirrors the v24
  rls_backfill gating pattern — RAISE WARNING if the current role lacks
  BYPASSRLS, so migrations don't silently lock the operator out.
- src/core/schema-embedded.ts: regenerated via `bun run build:schema`.
- test/e2e/mechanical.test.ts: one unrelated v24 test asserted the post-
  migration version equals exactly '24'. That breaks when any later
  migration exists (like our v25). Relaxed to `>= 24` since the test's
  intent is "v24 didn't abort the chain", not "v24 is the final version".

Verified locally: 78/78 E2E tests pass against real Postgres 16 + pgvector.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* chore: regenerate llms-full.txt for v1.0.0 docs

CI test/build-llms.test.ts > committed llms.txt + llms-full.txt match
current generator output failed. The committed llms-full.txt was built
before the v1.0.0 doc updates landed (OAuth 2.1 README section, new
docs/mcp/CHATGPT.md, CLAUDE.md serve-http references, etc.), so the
regen-drift guard flagged it.

Ran `bun run build:llms`. llms.txt is unchanged (skinny index still
matches); llms-full.txt picks up 166 net-new lines of bundled content.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* connected-gbrains PR 0 — minimal runtime (mounts, registry, aggregated RESOLVER) (#372)

* feat(mounts): connected-gbrains PR 0 foundation — registry + resolver + CLI

Lays the foundation for connected gbrains (v0.19.0) per the approved plan.
This is PR 0 — minimal runtime for direct-transport, path-mounted brains.

What this slice ships:
- src/core/brain-registry.ts — keyed BrainRegistry with lazy engine init,
  schema-validated mounts.json loader, DuplicateMountPathError (load-bearing
  identity check per Codex finding #9 correction), UnknownBrainError with
  actionable available-id list. Pure: no AsyncLocalStorage, no singleton
  mutation. ~280 LOC.

- src/core/brain-resolver.ts — 6-tier brain-id resolution mirroring
  v0.18.0's source-resolver.ts so agents learn ONE mental model:
    1. --brain <id>     2. GBRAIN_BRAIN_ID env      3. .gbrain-mount dotfile
    4. longest-path match over registered mounts    5. (reserved v2 default)
    6. 'host' fallback
  Orthogonal to --source: --brain picks which DB, --source picks the repo
  within that DB. Corruption-resistant: mounts.json load failures fall
  through to 'host' instead of breaking every CLI invocation.

- src/commands/mounts.ts — `gbrain mounts add|list|remove` (direct transport
  only). Validates on add (path exists on disk, id regex, no dupes). WARNS
  but does not block on same db_url/db_path across ids (teams may
  legitimately alias a remote brain). Password redaction in list output.
  Atomic write via temp+rename. 0600 perms. PR 1 adds pin/sync/enable;
  PR 2 adds --mcp-url + OAuth.

- src/cli.ts — wires `gbrain mounts` into handleCliOnly (no DB required
  for the config-only subcommands).

- test/brain-registry.test.ts (28 cases): schema validation across every
  malformed-input branch, ALS-free resolution, duplicate id + path detection,
  disabled-mount exclusion, UnknownBrainError context.

- test/brain-resolver.test.ts (22 cases): priority order (explicit > env >
  dotfile > path-prefix > fallback), dotfile walk-up, malformed dotfile
  recovery, longest-prefix match, sibling-path false-positive guard,
  loader-failure defense.

- test/mounts-cli.test.ts (17 cases): parseAddArgs surface, redactUrl,
  atomic write, add/list/remove roundtrip via temp HOME.

67 new tests, all green. Typecheck clean. Depends on mcp-key-mgmt (base
branch) for the OAuth/scope annotations that PR 2 will leverage.

Next in this branch: PR 0 still needs (a) the deep host-brain-bias audit
(postgres-engine internal singleton fallback + a few operations.ts
callers), (b) OperationContext threading to make ctx.brainId populated at
dispatch, (c) composeResolvers + composeManifests, (d) aggregated
~/.gbrain/mounts-cache/ for host-agent runtime ownership.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs(mounts): brains-and-sources mental model + agent routing convention

Two orthogonal axes organize GBrain knowledge. Users AND agents need to
understand both, or queries misroute silently.

  --brain  → WHICH DATABASE    (host + mounts)
  --source → WHICH REPO IN DB  (v0.18.0 sources: wiki, gstack, ...)

Both axes use the same 6-tier resolution (explicit > env > dotfile >
path-prefix > default > fallback), so learning one teaches both.

Ships:

- docs/architecture/brains-and-sources.md — canonical mental model doc.
  Covers four topologies with ASCII diagrams:
    1. Single-person developer (one brain, one source)
    2. Personal brain with multiple repos (one brain, N sources)
    3. Personal + one team brain mount (2 brains)
    4. Senior user with multiple team memberships (N mounted team brains
       alongside personal) — the CEO-class topology
  Explicit "when to move each axis" decision table. Generic example names
  throughout per the project's privacy rule.

- skills/conventions/brain-routing.md — agent-facing decision table.
  Rules for when to switch brain (team-owned question, explicit name,
  data owner changes) vs switch source (working in a repo, topic scoped
  to one repo). Cross-brain federation is latent-space only in v0.19 —
  the agent fans out; the DB never does. Anti-patterns listed: silent
  brain jumps, writing to host when data is team-owned, missing brain
  prefix in citations, ignoring .gbrain-mount dotfiles.

- CLAUDE.md — adds "Two organizational axes (read this first)" section
  at the top pointing at both new docs.

- AGENTS.md — adds brains-and-sources.md + brain-routing.md to the
  "read this order" (positions 3 and 4, before RESOLVER.md).

- skills/RESOLVER.md — adds brain-routing.md to the Conventions section
  so it appears alongside quality.md, brain-first.md, subagent-routing.md.

No code changes. Pre-existing check-resolvable warnings unchanged (2
warnings on base unrelated to this work). 67 PR-0 tests still green.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(mounts): thread brainId through OperationContext + subagent chain

PR 0 plumbing for connected gbrains. Adds an optional brainId field that
identifies which database an operation targets and ensures subagents
inherit the parent job's brain instead of process-wide defaults. No
dispatch-path changes in this commit — that is PR 1 (registry wiring at
MCP + CLI entry points). The fields exist so callers can set them now
and downstream code respects them.

Changes:

- src/core/operations.ts: OperationContext grows `brainId?: string`.
  Optional for back-compat. 'host' is the implicit default when absent.
  Orthogonal to v0.18.0's source_id (source = which repo within the
  brain, brain = which database). See docs/architecture/brains-and-sources.md.

- src/core/minions/types.ts: SubagentHandlerData gains `brain_id?: string`.
  Parent jobs set this when submitting a child subagent to lock the
  child into a specific brain. Omitted = host (unchanged behavior).

- src/core/minions/handlers/subagent.ts: buildBrainTools call site
  reads data.brain_id and passes it through. Child subagents spawned
  from this handler will see the same brainId unless they override in
  their own data.

- src/core/minions/tools/brain-allowlist.ts: BuildBrainToolsOpts +
  OpContextDeps grow brainId; buildOpContext stamps it on every
  OperationContext the subagent builds for tool calls. Addresses Codex
  finding #6 (brain-allowlist hardwired parent config without brain
  awareness, so switching brain only in subagent.ts was not enough).

Tests: 166 affected tests green (subagent suite + minions + brain
registry + resolver). Typecheck clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(mounts): composeResolvers + composeManifests + aggregated cache

The runtime ownership seam for connected gbrains (Codex finding #3 from
plan review): check-resolvable.ts VALIDATES RESOLVER.md; it does not
DISPATCH skills. Host agents (Wintermute/OpenClaw/Claude Code) read
skills/RESOLVER.md directly to route user requests. Without an aggregated
resolver, mounted team brains cannot contribute skills to the host
agent's routing table.

This commit adds the aggregation:

- src/core/mounts-cache.ts (NEW): pure composeResolvers + composeManifests
  functions plus filesystem writers for ~/.gbrain/mounts-cache/. The
  aggregated files carry every host skill plus every mount skill,
  namespace-prefixed (e.g. `yc-media::ingest`). Host skills always beat
  a same-named mount skill (locked decision 1); bare-name collisions
  between two mounts surface as structured ambiguity info so doctor can
  warn (PR 1).

  Also addresses Codex finding #8: manifests compose alongside the
  resolver, else doctor conformance breaks on remote skills.

- src/commands/mounts.ts: refreshMountsCache() called on `mounts add`
  and `mounts remove` (the latter clearing the cache entirely when the
  last mount goes away). Uses findRepoRoot() to locate the host skills
  dir; skips with a stderr note when run outside a gbrain repo so the
  user isn't confused by a "cache not refreshed" error in the wrong
  cwd.

- test/mounts-cache.test.ts (NEW): 23 unit tests covering empty world,
  host-only, single mount, two-mount ambiguity, host-shadows-mount,
  disabled mount excluded, missing RESOLVER.md is a no-op, manifest
  composition with same-name collision, render shape, atomic rewrite,
  clear on missing dir.

Output format for ~/.gbrain/mounts-cache/RESOLVER.md adds a Brain column
so host agents can see which brain each trigger routes to at a glance,
plus Shadows and Ambiguous sections when those conditions exist.

Tests: 90 PR 0 tests green (brain-registry + resolver + mounts-cache +
mounts-cli). Full suite regression pending in task 11.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(mounts): force instance-level pool for mount brains + CI guard

Closes the silent-singleton-share bug Codex flagged as finding #1 from
the plan review: two direct-transport mounts with different Postgres
URLs would both fall through postgres-engine.ts's `get sql()` getter to
db.getConnection() and quietly share whichever singleton connected
first. Your yc-media writes end up in garrys-list or vice versa. No
error at the call site — just wrong data.

The fix:

- src/core/brain-registry.ts: initMountBrain now passes poolSize when
  calling engine.connect(). That forces postgres-engine.ts:33-60 down
  the instance-level path (setting this._sql) instead of the module
  singleton path (calling db.connect). Hard-coded 5 for PR 0 — per-mount
  override is PR 1. PGLite ignores poolSize (no pool concept), so this
  is Postgres-specific.

  Host brain still uses the singleton path via initHostBrain (unchanged).
  That is fine for PR 0: the singleton is "the host's one connection"
  by definition. PR 1 removes the singleton entirely once every CLI
  command is engine-injectable.

- scripts/check-no-legacy-getconnection.sh (NEW): CI grep guard against
  new db.getConnection() / db.connect() calls landing in src/core/ or
  src/commands/ (the multi-brain dispatch surface). Has an explicit
  ALLOWED list grandfathering today's legitimate callers, each marked
  "PR 1 refactors" so the list shrinks over time. Skips comment lines
  so the grep doesn't trip on doc references to the old pattern.

- package.json: scripts.test chains the new guard after the existing
  check-jsonb-pattern + check-progress-to-stdout guards. `bun run test`
  now fails the build on singleton regression.

Tests: 295 affected pass (registry, resolver, mounts-cache, mounts-cli,
minions, pglite-engine). Typecheck clean. CI guard reports "ok: no new
singleton callers" on current tree.

Left for PR 1: remove the singleton fallback in postgres-engine.ts's
`get sql()` entirely; refactor src/commands/doctor.ts, files.ts,
repair-jsonb.ts, serve-http.ts, init.ts, and the 3 localOnly ops in
operations.ts (file_list, file_upload, file_url) to accept ctx.engine
explicitly.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(mounts): codex review findings — namespace survives shadow + atomic tmp names + honest PR 0 docstrings

Codex outside-voice review on PR #372 found 5 issues. Real bugs fixed, overclaims
rewritten. Details:

P2 (real bug): composeResolvers and composeManifests were silently dropping
mount entries when a host skill shared the short name, which made the
namespace-qualified form `<mount>::<skill>` unreachable once host defined
the same short name. That defeated the entire namespace-disambiguation
model — if host had `ingest`, no mount could ship an `ingest` skill even
with explicit `yc-media::ingest`. Fix: always keep namespace-qualified
mount entries in the composed output. Shadow tracking moves to metadata
(`shadows[]`) that doctor can warn on, but never drops routing.

  Before:  host ingest + yc-media ingest → only 1 entry (host), yc-media::ingest unreachable
  After:   host ingest + yc-media ingest → 2 entries: bare `ingest` = host, `yc-media::ingest` = mount
  Verified live: gbrain mounts add of a mount with `ingest` now shows
  `team-demo::ingest` alongside host `ingest` in the aggregated manifest.

P1 (real bug): writeMountsFile + writeMountsCache used fixed `.tmp`
filenames. Two concurrent `gbrain mounts add` invocations (e.g. from
parallel terminals or CI) would clobber each other's temp file and
one writer's update would be lost. Fix: tmp filenames include
`process.pid + random suffix` so every writer has its own scratch file.
The atomic rename is self-contained per-writer. (Full lock + read-modify-
write safety deferred to PR 1 under `gbrain mounts sync --lock`.)

P1 (honesty): `SubagentHandlerData.brain_id` +
`BuildBrainToolsOpts.brainId` docstrings claimed child jobs inherit the
parent's brain and brain tools target the resolved brain. True for the
`ctx.brainId` field only — `ctx.engine` is still the worker's base
engine at dispatch time because `buildOpContext` doesn't yet do the
registry lookup, and `gbrain agent run` doesn't yet accept `--brain` to
populate the field on submission. Rewrote both docstrings to state the
PR 0 behavior explicitly (field plumbed, engine routing is PR 1) so
nobody reads the code thinking multi-brain subagents already work.

Also cleaned up two `require('fs')` runtime imports left over from the
initial PR — swapped for ESM named imports (renameSync). Pre-existing
style issue surfaced by the self-review pass.

Tests: 90 PR-0 tests pass. Updated two shadow-related test cases to
assert the corrected semantics (both entries survive, host wins bare
name, namespace form routes to mount).

Not fixed in this commit (documented as known PR 0 limitations):
- `file_list` / `file_upload` / `file_url` in operations.ts still hit the
  singleton (localOnly + admin, never reachable from HTTP MCP — safe in
  practice, refactor in PR 1 alongside command-level cleanups).
- writeMountsCache's two-file swap (RESOLVER.md + manifest.json) is not
  atomic across files; readers can briefly observe mismatched pairs.
  Acceptable because the cache is recomputable at any time from
  mounts.json. Generation-directory swap is PR 1 work.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(tests): bump hook timeouts for 21-migration PGLite init under full-suite load

Root cause of 19 pre-existing full-suite flakes (CHANGELOG v0.18.0 noted
"17 pre-existing master timeouts"): every PGLite test does

  beforeAll/beforeEach(async () => {
    engine = new PGLiteEngine();
    await engine.connect({});
    await engine.initSchema();  // runs 21 migrations through v0.18.2
  });

In isolation this takes ~5s. Under full-suite contention (128 files,
process-shared FS and CPU) it exceeds bun's default 5000ms hook timeout,
beforeEach times out, engine stays undefined, then afterEach crashes
with `TypeError: undefined is not an object (evaluating 'engine.disconnect')`.
That single hook failure reports as the whole test "failing" even though
the test body never executed, which is why the failure count sometimes
looked inflated compared to the number of genuinely-broken tests.

Fix applied across 7 test files:

- Raise setup hook timeout to 30_000 (6x the default) — gives migration
  init enough headroom even under worst-case load without masking real
  regressions in a post-migration test.
- Raise teardown hook timeout to 15_000 — engine.disconnect() is usually
  fast but can stall when PGLite's WASM runtime is still completing a
  migration at shutdown.
- Add `if (engine) await engine.disconnect()` guard so afterEach doesn't
  double-fault when beforeEach already failed. This was the source of
  the opaque "(unnamed)" failures — they were disconnect crashes,
  not test-body failures.

Files:
  test/dream.test.ts                (5 beforeEach + 5 afterEach blocks)
  test/orphans.test.ts              (1 pair)
  test/brain-allowlist.test.ts      (1 pair)
  test/oauth.test.ts                (1 pair)
  test/extract-db.test.ts           (1 pair)
  test/multi-source-integration.test.ts (1 pair)
  test/core/cycle.test.ts           (1 pair)

Results on the merged PR 0 branch:
  Before: 2175 pass / 20 fail / 3 errors
  After:  2281 pass /  0 fail / 0 errors    (+106 tests running that
                                             were previously blocked
                                             by the timed-out hooks)

No changes to production code. No test assertions changed. Just
timeout-bump + null-guard discipline that should have been in these
hooks from the start. The real longer-term fix is reusing an engine
across tests where possible (brain-allowlist.test.ts already does this
via beforeAll+DELETE-pages pattern), but that's per-file structural
work — out of scope for this cleanup.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: regenerate llms-full.txt for brains-and-sources + brain-routing docs

The test/build-llms.test.ts test validates that the committed llms.txt
and llms-full.txt match the current generator output. PR 0 added
docs/architecture/brains-and-sources.md content paths and updated
CLAUDE.md + skills/RESOLVER.md in earlier commits, but the generated
bundle file wasn't regenerated alongside. This caused one of the 20
fails we chased down today — a straight content mismatch, not a runtime
bug. Running `bun run build:llms` picks up the new section content so
the bundle matches the sources again.

No functional change. Only the compiled doc bundle.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Bump version 1.0.0.0 → 0.22.0

OAuth + admin dashboard is meaningful but doesn't quite warrant the
major-version reset to 1.0. Renumber as v0.22.0, slotting cleanly above
master's v0.21.0 (Cathedral II).

Touched:
- VERSION, package.json: 1.0.0.0 → 0.22.0
- CHANGELOG.md: heading + "BEFORE/AFTER v1.0" table + "To take advantage"
  + "pre-v1.0" all renamed. Narrative voice unchanged otherwise.
- TODOS.md: ChatGPT MCP completion stamp updated to v0.22.0 (2026-04-25).
- CLAUDE.md, README.md, docs/mcp/{DEPLOY,CHATGPT}.md, src/schema.sql,
  src/core/schema-embedded.ts: every reader-facing v1.0.0 reference
  rewritten to v0.22.0 / pre-v0.22 in the same place.
- llms-full.txt: regenerated to match.

Slug-test occurrences of "v1.0.0" (`test/slug-validation.test.ts`,
`test/file-upload-security.test.ts`) and the `HOMEBREW_FOR_PERSONAL_AI`
roadmap reference to a future v1.0 vision left intact — those are
unrelated to this branch's release version.

Typecheck clean. cli + oauth + slug + file-upload tests pass (106 tests).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* v0.26.0 fix: 4 security findings from /cso pass + version bump

Bumped 0.22.0 → 0.26.0 to slot above master's v0.21 chain with headroom
for v0.23/0.24/0.25 to ship from master between now and merge.

Security fixes (all from CSO finding writeups):

#1 cookie-parser middleware — admin dashboard auth was silently broken.
   Express 5 has no built-in cookie parsing; req.cookies was always
   undefined, so /admin/login set the cookie but every subsequent admin
   API call returned 401. Added cookie-parser@^1.4.7 + @types/cookie-parser
   as direct + dev deps. app.use(cookieParser()) wired before CORS.

#2 + #3 TOCTOU races — exchangeAuthorizationCode and exchangeRefreshToken
   used SELECT-then-DELETE, letting concurrent requests with the same
   code/refresh both pass the SELECT before either ran DELETE, both
   issuing token pairs. Switched to atomic DELETE...RETURNING. RFC 6749
   §10.5 (codes) + §10.4 (refresh detection) violations closed. Added
   regression tests that fire 10 concurrent exchanges and assert exactly
   one wins — both pass.

#5 pgArray escape + DCR redirect_uri validation — pgArray() did
   `arr.join(',')` with no escaping, so an element containing a comma
   would be parsed by Postgres as TWO array elements. With --enable-dcr
   on, this could smuggle a second redirect_uri into a registered client
   and steal auth codes. Now every element is double-quoted with `"` and
   `\` escaped. Added validateRedirectUri() per RFC 6749 §3.1.2.1:
   redirect_uris must be https:// or loopback (localhost / 127.0.0.1).
   Wired into the DCR registerClient path; CLI registration trusts the
   operator and bypasses. Regression test confirms a comma-in-URI element
   round-trips as 1 element, not 2.

#6 --public-url flag — issuerUrl was hardcoded to http://localhost:{port}.
   Behind reverse proxies / ngrok / production deploys, the issuer claim
   in tokens wouldn't match the discovery URL clients hit (RFC 8414 §3.3).
   New --public-url URL flag on `gbrain serve --http`, propagates through
   serve.ts → serve-http.ts → ServeHttpOptions.publicUrl → issuerUrl.
   Startup banner surfaces the configured issuer.

Findings #4 (admin requests filter dead code), #7 (admin register-client
hardcoded grant_types), #8 (legacy token grandfathering posture) are
documentation / minor functional fixes and are deferred per user direction.

Tests: oauth.test.ts now 34 cases (was 27). 7 new:
- single-use TOCTOU regression (10 concurrent code exchanges)
- single-use TOCTOU regression (10 concurrent refresh exchanges)
- redirect_uri http://localhost passes
- redirect_uri https://example.com passes
- redirect_uri http://example.com (non-loopback plaintext) rejected
- redirect_uri non-URL rejected
- redirect_uri with embedded comma stored as single element

Files:
- VERSION, package.json: 0.22.0 → 0.26.0
- CHANGELOG.md: heading + table + "To take advantage" + "pre-v0.22" → v0.26;
  new "Security hardening (post-/cso pass)" subsection at top of itemized
  changes; CLI flag list updated for --public-url.
- src/core/oauth-provider.ts: pgArray escape, validateRedirectUri,
  registerClient enforces validation, DELETE...RETURNING in
  exchangeAuthorizationCode + exchangeRefreshToken.
- src/commands/serve-http.ts: cookie-parser import + wire-up,
  publicUrl option, issuerUrl honors it, startup banner shows issuer.
- src/commands/serve.ts: parses --public-url and threads through.
- src/cli.ts: help text adds --public-url URL flag.
- test/oauth.test.ts: +7 regression tests (now 34 total).
- llms-full.txt: regenerated.

Typecheck clean. 34 oauth + 14 cli tests pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-05-02 22:01:05 -07:00
8b3c24c891 v0.20.0 feat: extract BrainBench to sibling gbrain-evals repo (#195)
* fix(link-extraction): v0.10.5 drive works_at + advises accuracy on rich prose

Extends inferLinkType patterns to cover rich-prose phrasings that miss with
v0.10.4 regexes. Targets the residuals called out in TODOS.md: works_at at
58% type accuracy, advises at 41%.

WORKS_AT_RE additions:
- Rank-prefixed: "senior engineer at", "staff engineer at", "principal/lead"
- Discipline-prefixed: "backend/frontend/full-stack/ML/data/security engineer at"
- Possessive time: "his/her/their/my time at"
- Leadership beyond "leads engineering": "heads up X at", "manages engineering at",
  "runs product at", "leads the [team] at"
- Role nouns: "role at", "position at", "tenure as", "stint as"
- Promotion patterns: "promoted to staff/senior/principal at"

ADVISES_RE additions:
- Advisory capacity: "in an advisory capacity", "advisory engagement/partnership/contract"
- "as an advisor": "joined as an advisor", "serves as technical advisor"
- Prefixed advisor nouns: "strategic/technical/security/product/industry advisor to|at"
- Consulting: "consults for", "consulting role at|with"

New EMPLOYEE_ROLE_RE page-level prior: fires when the page describes the subject
as an employee (senior/staff/principal engineer, director, VP, CTO/CEO/CFO) at
some company. Biases outbound company refs toward works_at when per-edge context
is possessive or narrative without an explicit work verb. Scoped to person -> company
links only. Precedence: investor > advisor > employee (investors often hold board
seats which would otherwise mis-classify as advise/works_at).

ADVISOR_ROLE_RE broadened from "full-time/professional/advises multiple" to catch
any page that self-identifies the subject as an advisor ("is an advisor",
"serves as advisor", possessive "her advisory work/role/engagement").

Tests: 65 pass (16 new v0.10.5 coverage tests + 4 regression guards against
v0.10.4 tightenings). Templated benchmark still 88.9% type_accuracy (10/10 on
works_at and advises). Rich-prose measurement requires the multi-axis report
upgrade (next commit) to validate retroactively.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(eval): type-accuracy runner on rich-prose corpus + wire into all.ts

New Category 2 in BrainBench: per-link-type accuracy measured directly on the
240-page rich-prose world-v1 corpus. Distinct from Cat 1's retrieval metrics,
this measures whether inferLinkType() correctly classifies extracted edges
when the prose varies (the 58% works_at and 41% advises residuals that v0.10.5
regexes targeted).

How it works:
  1. Loads all pages from eval/data/world-v1/
  2. Derives GOLD expected edges from each page's _facts metadata
     (founders → founded, investors → invested_in, advisors → advises,
      employees → works_at, attendees → attended, primary_affiliation +
      role drives person-page outbound type)
  3. Runs extractPageLinks() on each page → INFERRED edges
  4. Per (from, to) pair, compares inferred type vs gold type
  5. Emits per-link-type table: correct / mistyped / missed / spurious +
     type accuracy + recall + precision + strict F1 (triple match)
  6. Full confusion matrix rows=gold, cols=inferred

v0.10.5 validation on 240-page corpus (up from pre-v0.10.5 baselines):
  - works_at:    58%  → 100.0%   (+42 pts) — 10/10 correct, 0 mistyped
  - advises:     41%  → 88.2%    (+47 pts) — 15/17 correct
  - attended:    —    → 100.0%   131/134 recall
  - founded:    100%  → 100.0%   40/40
  - invested_in: 89%  → 92.0%    69/75
  - Overall:    88.5% → 95.7%    type accuracy (conditional on edge found)

Strict F1 overall: 53.7%. Lower because the _facts-based gold set only
captures core relationships; rich prose extracts many peripheral mentions
(190 spurious "mentions" edges) that aren't bugs but are correctly-typed
prose references without a _facts counterpart. Spurious counts are signal
for future type-precision tuning, not failure.

Wired into eval/runner/all.ts as Cat 2 so every full benchmark run includes
the rich-prose type accuracy table alongside retrieval metrics.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(eval): Phase 2 adapter interface + EXT-1 ripgrep+BM25 baseline

Phase 2 credibility unlock: BrainBench now compares gbrain to external
baselines on the same corpus and queries. Transforms the benchmark from
internal ablation ("gbrain-graph beats gbrain-grep") to category comparison
("gbrain-graph beats classic BM25 by 32 pts P@5"). This is the #1 fix
from the 4-review arc — addresses Codex's core critique that v1's
before/after was self-referential.

Added:
  eval/runner/types.ts                      — Adapter interface (v1.1 spec)
  eval/runner/adapters/ripgrep-bm25.ts      — EXT-1 classic IR baseline
  eval/runner/adapters/ripgrep-bm25.test.ts — 11 unit tests, all pass
  eval/runner/multi-adapter.ts              — side-by-side scorer

Adapter interface (eng pass 2 spec):
  - Thin 3-method Strategy: init(rawPages, config), query(q, state), snapshot(state)
  - BrainState is opaque to runner (never inspected)
  - Raw pages passed in-memory; gold/ never crosses adapter boundary
    (structural ingestion-boundary enforcement)
  - PoisonDisposition enum reserved for future poison-resistance scoring

EXT-1 ripgrep+BM25:
  - Classic Lucene-variant IDF + k1/b tuned at standard 1.5/0.75
  - Title tokens double-weighted for entity-page slug-match bias
  - Stopword filter, alphanumeric tokenization, stable lexicographic tie-break
  - Pure in-memory inverted index — no external deps, ~100 LOC core

First side-by-side results on 240-page rich-prose corpus, 145 relational queries:

| Adapter       | P@5    | R@5    | Correct top-5 |
|---------------|--------|--------|---------------|
| gbrain-after  | 49.1%  | 97.9%  | 248/261       |
| ripgrep-bm25  | 17.1%  | 62.4%  | 124/261       |
| Delta         | +32.0  | +35.5  | +124          |

gbrain-after is the hybrid graph+grep config from PR #188. Ripgrep+BM25 is
a genuinely strong classic-IR baseline (BM25 is what Lucene/Elasticsearch
ship). gbrain's ~+32-point lead on relational queries reflects real work
by the knowledge graph layer: typed links + traversePaths surface the
correct answers in top-K that BM25 only pulls in via partial-text overlap.

Next in Phase 2: EXT-2 vector-only RAG + EXT-3 hybrid-without-graph
adapters. Both plug into the same Adapter interface.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(eval): Phase 2 EXT-2 vector-only RAG adapter

Second external baseline for BrainBench. Pure cosine-similarity ranking
using the SAME text-embedding-3-large model gbrain uses internally —
apples-to-apples on the embedding layer so any gbrain lead reflects the
graph + hybrid fusion, not a better embedder.

Files:
  eval/runner/adapters/vector-only.ts      ~130 LOC
  eval/runner/adapters/vector-only.test.ts 6 unit tests (cosine math)

Design:
  - One vector per page (title + compiled_truth + timeline, capped 8K chars).
  - No chunking (intentional; chunked vector RAG would be EXT-2b later).
  - No keyword fallback (that's EXT-3 hybrid-without-graph).
  - Embeddings in batches of 50 via existing src/core/embedding.ts (retry+backoff).
  - Cost on 240 pages: ~$0.02/run.

Three-adapter side-by-side on 240-page rich-prose corpus, 145 relational queries:

| Adapter       | P@5    | R@5    | Correct top-5 |
|---------------|--------|--------|---------------|
| gbrain-after  | 49.1%  | 97.9%  | 248/261       |
| ripgrep-bm25  | 17.1%  | 62.4%  | 124/261       |
| vector-only   | 10.8%  | 40.7%  |  78/261       |

Interesting finding: vector-only scores WORSE than BM25 on relational queries
like "Who invested in X?" — exact entity match matters more than semantic
similarity for these templates. BM25 nails the entity-name term; vector-only
returns topically-similar-but-not-mentioning pages. This is the known failure
mode of pure-vector RAG on precise relational/identity queries. Real-world
vector RAG systems always add keyword fallback; EXT-3 (hybrid-without-graph)
will be that fairer comparator.

gbrain's lead widens in vector-only comparison: +38.4 pts P@5, +57.2 pts R@5.
The graph layer is doing the heavy lifting for relational traversal; pure
vector RAG can't express "traverse 'attended' edges from this meeting page."

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(eval): Phase 2 EXT-3 hybrid-without-graph adapter — graph isolated

Third and closest-to-gbrain external baseline. Runs gbrain's full hybrid
search (vector + keyword + RRF fusion + dedup) WITHOUT the knowledge-graph
layer. Same engine, same embedder, same chunking, same hybrid fusion —
only traversePaths + typed-link extraction turned off.

This is the decisive comparator for "does the knowledge graph do useful
work?" Same everything-else, only graph differs. Any lead gbrain-after has
over EXT-3 is 100% attributable to the graph layer.

Files:
  eval/runner/adapters/hybrid-nograph.ts   — ~110 LOC

Implementation:
  - New PGLiteEngine per run; auto_link set to 'false' (belt).
  - importFromContent() used instead of bare putPage() so chunks +
    embeddings get populated (hybridSearch needs them).
  - NO runExtract() call — typed links/timeline stay empty (suspenders).
  - hybridSearch(engine, q.text) answers every query. Aggregate chunks
    to page-level by best chunk score.

FOUR-adapter side-by-side on 240-page rich-prose corpus, 145 relational queries:

| Adapter         | P@5    | R@5    | Correct/Gold |
|-----------------|--------|--------|--------------|
| gbrain-after    | 49.1%  | 97.9%  | 248/261      |
| hybrid-nograph  | 17.8%  | 65.1%  | 129/261      |
| ripgrep-bm25    | 17.1%  | 62.4%  | 124/261      |
| vector-only     | 10.8%  | 40.7%  |  78/261      |

The headline delta nobody can hand-wave away:
  gbrain-after → hybrid-nograph  = +31.4 P@5, +32.9 R@5
  hybrid-nograph → ripgrep-bm25  = +0.7 P@5,  +2.7 R@5

Hybrid search (vector+keyword+RRF) over pure BM25 gains ~1 point. The
knowledge graph layer over hybrid gains ~31 points. The graph is doing
the work; adding it to a retrieval stack is what actually moves the needle
on relational queries. The vector/keyword/BM25 debate is a footnote.

Timing: hybrid-nograph init is ~2 min (embeds 240 pages once); query loop
is fast. gbrain-after is ~1.5s total because traversePaths doesn't need
embeddings. Runs at ~$0.02 Opus-equivalent in embedding cost.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(eval): Phase 2 query validator + Tier 5 Fuzzy + Tier 5.5 synthetic + N=5 tolerance bands

Closes multiple Phase 2 items in one commit since they form a cohesive
package: query schema enforcement + new query tiers + per-query-set
statistical rigor.

Added:
  eval/runner/queries/validator.ts               — hand-rolled Query schema validator
  eval/runner/queries/validator.test.ts          — 24 unit tests, all pass
  eval/runner/queries/tier5-fuzzy.ts             — 30 hand-authored Tier 5 Fuzzy/Vibe queries
  eval/runner/queries/tier5_5-synthetic.ts       — 50 SYNTHETIC-labeled outsider-style queries (author: "synthetic-outsider-v1")
  eval/runner/queries/index.ts                   — aggregator + validateAll()

Modified:
  eval/runner/multi-adapter.ts                   — N=5 runs per adapter (BRAINBENCH_N override), page-order shuffle, mean±stddev reporting

Query validator (hand-rolled, no zod dep to match gbrain codebase style):
  - Temporal verb regex enforces as_of_date (per eng pass 2 spec):
    /\\b(is|was|were|current|now|at the time|during|as of|when did)\\b/i
  - Validates tier enum, expected_output_type enum, gold shape per type
  - gold.relevant must be non-empty slug[] for cited-source-pages queries
  - abstention requires gold.expected_abstention === true
  - externally-authored tier requires author field
  - batch validation catches duplicate IDs

Tier 5 Fuzzy/Vibe (30 queries, hand-authored):
  - Vague recall: "Someone who was a senior engineer at a biotech company..."
  - Trait-based: "The engineer who pushed back on microservices"
  - Cultural/epithet: "Who is known as a 'systems builder' in security?"
  - Abstention bait: "Which Layer 1 project did the crypto guy leave?" (prose
    mentions but never names; good systems abstain)
  - Addresses Codex's circularity critique — vague queries where graph-heavy
    systems shouldn't inherently win.

Tier 5.5 Synthetic Outsider (50 queries, AI-authored placeholder):
  - Clearly labeled author: "synthetic-outsider-v1"
  - Phrasing variety not in the 4 template families:
    * fragment style ("crypto founder Goldman Sachs background")
    * polite/natural ("Can you pull up what we have on...")
    * comparison ("What is the difference between X and Y?")
    * follow-up ("And who else advises Orbit Labs?")
    * typos/misspellings ("adam lopez bioinformatcis")
    * similarity ("Find me someone like Alice Davis...")
    * imperative ("Pull up Alice Davis")
  - Real Tier 5.5 from outside researchers supersedes synthetic via
    PRs to eval/external-authors/ (docs ship in follow-up commit).

N=5 tolerance bands:
  - Default N=5, override via BRAINBENCH_N env var (e.g. BRAINBENCH_N=1 for dev loops)
  - Per-run seeded Fisher-Yates shuffle of page ingest order (LCG seed = run_idx+1)
  - Surfaces order-dependent adapter bugs (tie-break-by-first-seen etc.)
  - Reports mean ± sample-stddev per metric
  - "stddev = 0" is honest signal that the adapter is deterministic, not a bug.
    LLM-judge metrics (future) will naturally produce non-zero stddev.

Validation: all 80 Tier 5 + 5.5 queries pass validateAll(). 24 validator
unit tests pass.

Next commit: world.html contributor explorer (Phase 3).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(eval): Phase 3 world.html explorer + eval:* CLI surface

Contributor DX magical moment. Static HTML explorer renders the full
canonical world (240 entities) as an explorable tree, opens in any browser,
zero install. Every string HTML-entity-encoded (XSS-safe — direct vuln
class per eng pass 2, confidence 9/10).

Added:
  eval/generators/world-html.ts         — renderer (~240 LOC; single-file
                                          HTML with inline CSS + minimal JS)
  eval/generators/world-html.test.ts    — 16 tests (XSS + rendering correctness)
  eval/cli/world-view.ts                — render + open in default browser
  eval/cli/query-validate.ts            — CLI wrapper for queries/validator
  eval/cli/query-new.ts                 — scaffold a query template

Modified:
  package.json                          — 7 new eval:* scripts
  .gitignore                            — ignore generated world.html

package.json scripts shipped:
  bun run test:eval                 all eval unit tests (57 pass)
  bun run eval:run                  full 4-adapter N=5 side-by-side
  bun run eval:run:dev              N=1 fast dev iteration
  bun run eval:world:view           render world.html + open in browser
  bun run eval:world:render         render only (CI-friendly, --no-open)
  bun run eval:query:validate       validate built-in T5+T5.5 (or a file path)
  bun run eval:query:new            scaffold a new Query JSON template
  bun run eval:type-accuracy        per-link-type accuracy report

XSS safety:
  escapeHtml() encodes the 5 critical chars (& < > " '). Tested directly
  with representative Opus-generated attacks:
    <img src=x onerror=alert('xss')>  → &lt;img src=x onerror=alert(&#39;xss&#39;)&gt;
    <script>fetch('/steal')</script>  → &lt;script&gt;fetch(&#39;/steal&#39;)&lt;/script&gt;
  Ledger metadata (generated_at, model) also escaped — covers the less
  obvious attack surface where Opus could emit tag-like content into the
  metadata file.

world.html structure:
  - Left rail: entities grouped by type with counts (companies, people,
    meetings, concepts), alphabetical within type
  - Right pane: per-entity cards with title + slug + compiled_truth +
    timeline + canonical _facts as collapsed JSON
  - URL fragment deep-links (#people/alice-chen)
  - Sticky rail on desktop; responsive stack on mobile
  - Vanilla JS for active-link highlighting on scroll (no framework)

Generated file: ~1MB for 240 entities (full prose). Gitignored; rebuild
with `bun run eval:world:view`. Regeneration is ~50ms.

Contributor TTHW (Tier 5.5 query authoring):
  1. bun run eval:world:view                         # see entities
  2. bun run eval:query:new --tier externally-authored --author "@me"
  3. edit template with real slug + query text
  4. bun run eval:query:validate path/to/file.json
  5. submit PR

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs(eval): Phase 3 contributor docs + CI workflow for eval/ tests

Ships the contributor-onboarding surface promised in the plan. With this
commit, external researchers have a self-serve path from clone to PR in
under 5 minutes.

Added:
  eval/README.md                                — 5-minute quickstart,
                                                  directory map, methodology
                                                  one-pager, adapter scorecard
  eval/CONTRIBUTING.md                          — three contributor paths:
                                                    1. Write Tier 5.5 queries
                                                    2. Submit an external adapter
                                                    3. Reproduce a scorecard
  eval/RUNBOOK.md                               — operational troubleshooting:
                                                  generation failures, runner
                                                  failures, query validation,
                                                  world.html rendering, CI
  eval/CREDITS.md                               — contributor attribution
                                                  (synthetic-outsider-v1 labeled
                                                  as placeholder; real submissions
                                                  land here)
  .github/PULL_REQUEST_TEMPLATE/tier5-queries.md — structured PR template
                                                  for Tier 5.5 submissions
  .github/workflows/eval-tests.yml              — CI: validates queries,
                                                  runs all eval unit tests,
                                                  renders world.html on every PR
                                                  touching eval/** or
                                                  src/core/link-extraction.ts

CI scope (intentionally narrow):
  - Triggers on paths: eval/**, src/core/link-extraction.ts, src/core/search/**
  - Runs: bun run eval:query:validate (80 queries), test:eval (57 tests),
          eval:world:render (smoke-test the HTML renderer)
  - Pinned actions by commit SHA (matches existing .github/workflows/test.yml)
  - Zero API calls — all Opus/OpenAI paths stubbed or skipped in unit tests
  - Fast: ~30s total wall clock

Contributor TTHW (clone → first merged PR):
  - Path 1 (Tier 5.5 queries): ~5 min
  - Path 2 (external adapter): ~30 min for a simple adapter
  - Path 3 (reproduce scorecard): ~15 min wall clock (N=5 run)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(eval): teardown PGLite engines so bun run eval:run exits 0

The multi-adapter runner left PGLite engines alive after each run.
GbrainAfterAdapter and HybridNoGraphAdapter both instantiate a
PGLiteEngine in init() but never disconnect it; Bun's shutdown path
exits with code 99 when embedded-Postgres workers outlive main().

Added optional `teardown?(state)` to the Adapter interface, implemented
it on both engine-backed adapters, and call it from scoreOneRun after
the N=5 loop. ripgrep-bm25 and vector-only hold no DB resources and
don't need a teardown.

Verified: gbrain-after, hybrid-nograph, ripgrep-bm25, vector-only all
exit 0 at N=1. Full test:eval passes (57 tests). No metric change.

* docs(bench): 2026-04-19 multi-adapter scorecard

Reproducibility run of the 4-adapter side-by-side at commit b81373d
(branch garrytan/gbrain-evals). N=5, 240-page corpus, 145 relational
queries from world-v1.

Headline: gbrain-after 49.1% P@5 / 97.9% R@5. hybrid-nograph 17.8% /
65.1%. ripgrep-bm25 17.1% / 62.4%. vector-only 10.8% / 40.7%. All
adapters deterministic (stddev = 0 across the 5 runs per adapter).

Matches the scorecard in eval/README.md byte-for-byte for the three
deterministic adapters; hybrid-nograph matches within tolerance bands.

* docs(bench): 2026-04-19 gbrain v0.11.1 vs v0.12.1 regression comparison

Runs the same eval harness against two gbrain src/ trees on the same
240-page corpus and 145 queries. Patches the v0.11 copy's gbrain-after
adapter to use getLinks/getBacklinks (v0.11 has no traversePaths)
with identical direction+linkType semantics.

gbrain-after P@5 22.1% -> 49.1% (+27 pts); R@5 54.6% -> 97.9% (+43
pts); correct-in-top-5 99 -> 248 (+149). hybrid-nograph flat at 17.8%
/ 65.1% on both (v0.12 didn't touch hybridSearch / chunking).

Driver is extraction quality, not graph presence: v0.12 emits 499
typed links (v0.11: 136, x3.7) and 2,208 timeline entries (v0.11: 27,
x82) on the same 240 pages. Sharpens the April-18 "graph layer does
the work" claim -- on v0.11 that architecture only beat hybrid-nograph
by 4.3 points; the 31-point lead in the multi-adapter scorecard comes
from graph + high-quality extract in combination.

* feat(eval): BrainBench v1 portable JSON schemas + gold templates

Adds the v1→v2 contract boundary for BrainBench. 6 JSON schemas at
eval/schemas/ pin the shape of every artifact a stack must emit to be
scorable: corpus-manifest, public-probe (PublicQuery with gold stripped),
tool-schema (12 read + 3 dry_run tools, 32K tool-output cap), transcript,
scorecard (N ∈ {1, 5, 10}), evidence-contract (structured judge input).

8 gold file templates at eval/data/gold/ scaffold the sealed qrels,
contradictions, poison items, and citation labels. Empty-but-valid
skeletons; Day 3b fills them with real content once the amara-life-v1
corpus generates.

48 tests validate schema syntax, $schema/$id/title/type headers,
round-trip stability, and cross-schema coherence (new Page types in
manifest enum, tool counts, token cap, N enum).

When v2 ports to Python + Inspect AI + Docker, these schemas are the
boundary. Same fixtures, same tool contracts, zero rework.

* feat(eval): amara-life-v1 skeleton + Page.type enum for email/slack/cal/note

Deterministic procedural generator for the twin-amara-lite fictional-life
corpus (BrainBench v1 Cat 5/8/9/11 target). 15 contacts picked from
world-v1, 50 emails + 300 Slack messages across 4 channels + 20 calendar
events + 8 meeting transcripts + 40 first-person notes. Mulberry32 PRNG
gives byte-identical output under reseed.

Plants 10 contradictions + 5 stale facts + 5 poison items + 3 implicit
preferences at deterministic positions. Fixture_ids are unique across the
corpus so gold/contradictions.json + gold/poison.json + gold/implicit-
preferences.json can cross-reference by stable ID.

PageType extended in both src/core/types.ts and eval/runner/types.ts to
include email | slack | calendar-event | note (+ meeting on the production
side). src/core/markdown.ts inferType() heuristics updated for the new
one-slash slug prefixes (emails/em-NNNN, slack/sl-NNNN, cal/evt-NNNN,
notes/YYYY-MM-DD-topic, meeting/mtg-NNNN).

17 tests cover counts (50/300/20/8/40), perturbation counts (exact
10/5/5/3), seed determinism + divergence, slug regex conformance (matches
eval/runner/queries/validator.ts:131 one-slash rule), unique fixture_ids,
amara-in-every-email invariant, calendar dtstart < dtend, and Amara-is-
attendee on every meeting.

* feat(eval): amara-life-gen.ts with structured cache key + $20 cost gate

Opus prose expansion of the amara-life-v1 skeleton. Per-item structured
cache key = sha256({schema_version, template_id, template_hash, model_id,
model_params, seed, item_spec_hash}). Prompt-template tweak changes
template_hash; only those items regenerate. Schema bump changes
schema_version; everything invalidates cleanly. Interrupted runs resume
from the last cached item; zero re-spend.

Cost-gated at $20 hard-stop with Anthropic input/output pricing tracking.
Dry-run mode (--dry-run) executes the full pipeline with stub bodies for
smoke-testing the I/O layout without LLM spend. --max N caps items per
type for debugging. --force ignores cache.

Writes per-format outputs under eval/data/amara-life-v1/:
  inbox/emails.jsonl (one email per line with body_text appended)
  slack/messages.jsonl (one message per line with text appended)
  calendar.ics (RFC-5545 VEVENT format, templated — no LLM)
  meetings/<id>.md (transcript with YAML frontmatter)
  notes/<YYYY-MM-DD-topic>.md (first-person journal)
  docs/*.md (6 reference docs, templated — no LLM)
  corpus-manifest.json (per eval/schemas/corpus-manifest.schema.json,
    including per-item content_sha256 and generator_cache_key)

Perturbation hints (contradiction, stale-fact, poison, implicit-
preference) flow through the prompt so Opus weaves the specific claim
into each item's body. Poison items are hand-crafted to include
paraphrased prompt-injection attempts (not literal 'IGNORE ALL
PREVIOUS' — defense is the structured-evidence judge contract at
Day 5, not regex redaction).

New package.json scripts:
  eval:generate-amara-life       # real run (~$12 Opus estimated)
  eval:generate-amara-life:dry   # smoke test, zero spend

test:eval extended to include test/eval/. 10 cache-key tests cover
determinism, invalidation across every field of the key, canonical JSON
stability under object-key reorder, and per-skeleton-item spec-hash
uniqueness (50 distinct hashes for 50 distinct emails).

* chore: bump version and changelog (v0.15.0)

Resets package.json from stale 0.13.1 to 0.15.0 (matches VERSION).
v0.14.0 shipped with the stale package.json version; this sync catches
that up and moves to v0.15.0 in one step.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* docs: update CLAUDE.md + README + eval/README for v0.15.0 BrainBench

CLAUDE.md: adds a full BrainBench section to the Key Files list — 14 new
entries covering eval/README.md, multi-adapter.ts, types.ts (with new
PublicPage/PublicQuery), adapters/, queries/, type-accuracy.ts,
adversarial.ts, all.ts, world.ts/gen.ts, world-html.ts, amara-life.ts,
amara-life-gen.ts, schemas/, data/world-v1/, data/gold/,
data/amara-life-v1/, docs/benchmarks/, and test/eval/. Adds 3 new
test/eval/ lines to the unit-tests catalog.

eval/README.md: file tree updated to reflect v0.15 additions —
data/amara-life-v1/, data/gold/, schemas/, generators/amara-life.ts +
amara-life-gen.ts, runner/all.ts + adversarial.ts.

README.md: updates hero benchmark numbers (L7 intro + L353 mid-page)
from v0.10.5 PR #188 numbers (R@5 83→95, P@5 39→45) to current v0.12.1
4-adapter numbers (P@5 49.1% · R@5 97.9% · +31.4 pts vs hybrid-nograph).
Adds the v0.11→v0.12 regression comparison as the secondary reference.
Deeper-section tables (L422+) labeled "BrainBench v1 (PR #188)" are
preserved as historical data.

CHANGELOG is untouched — /ship already wrote the v0.15.0 entry.
TODOS.md is untouched — Cat 5/6/8/9/11 remain open (only foundations
shipped in v0.15.0; Cat runners ship in v1 Complete follow-ups).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(eval): Day 4 — pdf-parse + flight-recorder + tool-bridge (dry_run + expand:false)

Three infrastructure modules for BrainBench v1 Complete Cats 5/8/9/11.

**eval/runner/loaders/pdf.ts** — Thin pdf-parse wrapper. Lazy import keeps
pdf-parse out of the module-load path (avoids library debug-mode side
effects). Size cap (50MB default), encryption detection, structured error
classes (PdfEncryptedError, PdfTooLargeError, PdfParseError). Only Cat 11
multimodal will import this; production bundle never sees pdf-parse.

**eval/runner/tool-bridge.ts** — Maps 12 read-only operations from
src/core/operations.ts to Anthropic tool definitions + adds 3 dry_run write
tools. Three structural invariants enforced:

  1. No hidden LLM calls. `operations.query` defaults expand=true which
     routes through expansion.ts → Haiku. Bridge strips `expand` from the
     query tool's input schema AND executor hard-sets expand:false. Zero
     nested Haiku calls in any agent trace.

  2. Mutating ops throw ForbiddenOpError. put_page, add_link, delete_page,
     etc. are rejected by name. Agents record intent via dry_run_put_page /
     dry_run_add_link / dry_run_add_timeline_entry which persist to the
     flight-recorder without mutating the engine. This is how Cat 8's
     back_link_compliance + citation_format metrics measure anything with
     a read-only tool surface.

  3. Poison tagged by the bridge, not the judge. Every tool result is
     scanned for slugs matching gold/poison.json fixtures. Matched
     fixture_ids flow into tool_call_summary.saw_poison_items for the
     structured-evidence judge contract. Judge never reads raw tool
     output — Section-3 defense against paraphrased prompt injections
     (poison payloads never reach the judge model at all).

32K-token cap (~128K chars) with "…[truncated]" suffix.

**eval/runner/recorder.ts** — Per-run flight-recorder bundle emitter. Full
6-artifact bundle (transcript.md, brain-export.json, entity-graph.json,
citations.json, scorecard.json, judge-notes.md) when the adapter provides
an AdapterExport; 3-artifact fallback (transcript + scorecard +
judge-notes) otherwise. Atomic writes via tmp+rename. Collision-safe:
duplicate directory names get incremental -2, -3 suffix. `safeStringify`
handles circular references without throwing and JSON-serializes
Float32Array embeddings.

**package.json:** adds pdf-parse@2.4.5 as a devDependency. Scoped to eval/
use only; production gbrain binary unaffected.

**Tests:** 63 new — 30 tool-bridge, 21 recorder, 12 pdf-loader. All pass.
Fake engine uses a Proxy with `__default__` fallback so poison-matching
tests don't have to mock the exact engine method name that each operation
calls (some route via searchKeyword, others via getPage — proxy handles
both uniformly).

Total eval suite now: 132 pass, 0 fail, 923 expect() calls.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(eval): Day 5 — agent adapter + judge with structured evidence contract

Two modules that together wire Cat 8 / Cat 9 / Cat 5 end-to-end scoring.

**eval/runner/judge.ts** — Haiku 4.5 via tool-use `score_answer`. Input is
the structured JudgeEvidence contract (fix #16 from the plan's codex
review): probe + final_answer_text + evidence_refs + tool_call_summary +
ground_truth_pages + rubric. Raw tool output NEVER reaches the judge —
that's the Section-3 defense against paraphrased prompt-injection payloads
in gold/poison.json.

Retry policy: one retry on malformed tool_use response. If the second
attempt is still malformed, score the probe as `judge_failed` (all scores
0, verdict=fail) so the run still completes.

Aggregation: weighted mean across rubric criteria. Canonical thresholds
(pass ≥3.5, partial 2.5-3.5, fail <2.5) — judge can propose a verdict but
the computed verdict from the weighted mean is what the scorecard records.
This prevents the model from inflating or deflating its own verdict.

Score values are clamped to 0-5 on parse even if the model returns out of
range. `assertNoRawToolOutput(evidence)` is a regression guard that
returns the list of forbidden fields (tool_result, raw_transcript, etc.)
if any leak into the evidence contract.

**eval/runner/adapters/claude-sonnet-with-tools.ts** — The agent adapter.
Implements `Adapter` interface minimally: `init()` spins up PGLite and
seeds it, `query()` throws because the adapter is Cat 8/9-only and emits
a final-answer text, not a RankedDoc[]. Retrieval scorecard stays at 4
adapters.

`runAgentLoop(probeId, text, state, config)` drives the multi-turn loop:
Sonnet → tool_use → tool-bridge.executeTool → tool_result → back to
Sonnet. Turn cap 10. max_tokens 1024. System prompt (brain-first iron
law, citation format, amara context) is cached via cache_control.
Exponential backoff on rate-limit errors (1s, 2s, 4s).

Emits a `Transcript` per eval/schemas/transcript.schema.json — consumed
directly by recorder.ts for the flight-recorder bundle.

`brain_first_ordering` classifies Cat 8's flagship metric: did the agent
call search/get_page BEFORE producing the final answer? The `no_brain_calls`
case (agent answers from general knowledge without ever hitting the brain)
is the compliance failure to surface.

ForbiddenOpError + UnknownToolError from the bridge are caught in the
agent loop and surfaced as tool_result with is_error=true — keeps the
loop going and preserves full audit trail for the judge.

**Tests (35 new):** judge (23) — happy path, retry, fallback, evidence
contract sanitization, rendered prompt does not contain raw tool_result
text, verdict thresholds, score clamping, weighted mean with mixed
weights, parseToolUse rejects malformed input. agent-adapter (12) —
Adapter.query() throws, init() seeds PGLite, end-to-end tool loop with
stubbed Sonnet, turn cap exhaustion, mutating-op rejection surfaces as
tool_result error, extractSlugs regex.

All 12 agent tests take ~23s because PGLite runs 13 schema migrations per
test; the alternative of shared-engine-across-tests was rejected so each
test is isolated.

Total eval suite now: 167 pass, 0 fail.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(eval): Day 6 — adversarial-injections + Cat 6 prose-scale + Cat 11 multi-modal

Three modules that together cover BrainBench v1 Cat 6 (prose-scale
extraction fidelity) and Cat 11 (multi-modal ingest fidelity).

**eval/runner/adversarial-injections.ts** — 6 deterministic content
transforms shared by Cat 10 (adversarial.ts, 22 hand-crafted cases) and
Cat 6 (prose-scale variants). Each injection produces a modified content
string + a structured GoldDelta describing what the extractor MUST and
MUST NOT produce. Kinds:
  - code_fence_leak — fake [X](people/fake) inside ``` fence, must NOT extract
  - inline_code_slug — `people/fake` in backticks, must NOT extract
  - substring_collision — "SamAI" near real `people/sam`, exactly one link
  - ambiguous_role — "works with" vs "works at", downgrade type to mentions
  - prose_only_mention — strip markdown link syntax, bare name → mentions only
  - multi_entity_sentence — pack 4+ entities into one clause, extract all

Mulberry32 PRNG keeps variant generation deterministic under fixed seed.
Codex flagged the original plan's wording ("extract injection engine from
adversarial.ts") as overstated — adversarial.ts is a static case list,
not a reusable engine. This module is NEW code.

**eval/runner/cat6-prose-scale.ts** — Runner. Loads world-v1, applies all
6 injection kinds to sampled base pages (default 50 variants per kind ×
6 kinds = 300 variants), runs extractPageLinks on each, compares to gold
delta. Emits per-kind + overall metrics (precision, recall, F1,
code_fence_leak_rate, substring_fp_rate, pages_with_links_coverage,
mean_links_per_page). **v1 verdict is always "baseline_only"** — no
gating threshold per codex fix #9 (current extractor residuals make
>0.80 unreachable; v1 records a baseline, regression guard triggers on
drop below it).

**eval/runner/cat11-multimodal.ts** — PDF + HTML + audio runners.
Fixtures load from eval/data/multimodal/<modality>/fixtures.json
manifests; each modality skips gracefully when manifest missing or
(audio) when neither GROQ_API_KEY nor OPENAI_API_KEY is set. Metrics:
  - PDF: char-level similarity via Levenshtein + optional entity_recall
  - HTML: word-recall over normalized tokens (multiset semantics)
  - Audio: WER (word error rate) via Levenshtein on word sequences
Fixtures are NOT committed; a future eval:fetch-multimodal script will
download them hash-verified from public sources (arXiv CC-licensed
papers, Wikipedia CC-BY-SA, Common Voice CC0).

Injectable audio transcriber (`opts.transcribe`) means tests don't need
GROQ/OpenAI keys — stubbed transcriptions exercise the WER math path
directly.

**Tests (60 new):** adversarial-injections (19) — per-kind assertions +
dispatcher coverage + slug regex conformance; cat6 (12) — variant
determinism, scoreVariant shape, aggregate per-kind + overall metrics,
corpus resolver slug rules; cat11 (29) — charSimilarity / wordRecall /
wer math, htmlToText strips scripts + decodes entities, HTML modality
with real fixtures, audio modality gracefully skips without key + uses
stub transcriber correctly.

All 60 tests pass in 48ms + 41ms.
Total eval suite now: 227 pass, 0 fail.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(eval): Day 7 — Cat 5 provenance runner + structured classify_claim judge

**eval/runner/cat5-provenance.ts** — BrainBench Cat 5 scoring. Samples
claims from gbrain brain-export and classifies each against its source
material via a dedicated Haiku judge (classify_claim tool with a
three-label enum: supported | unsupported | over-generalized).

Separate from judge.ts by design: Cat 5 is a single three-way
classification per claim, not a weighted rubric. Rather than overload
judge.ts with a mode switch, Cat 5 has its own tool definition
(CLASSIFY_CLAIM_TOOL) and prompt. The retry-once pattern, $20 cost gate
semantics, and structured parsing are mirrored from judge.ts so failures
look the same across Cats.

Metric: `citation_accuracy` = fraction where predicted label equals
gold expected_label. Threshold (informational): >0.90 per design-doc
METRICS.md. v1 ships with `enableThreshold: false` so the verdict is
always baseline_only — we don't have hand-authored gold claims yet, and
codex flagged that threshold gating should wait until the amara-life-v1
corpus + gold file authoring lands in Day 3b.

runCat5 uses a bounded-concurrency worker pool (default 4) to respect
Haiku rate limits across 100+ claim batches. Evidence pages are looked
up by slug from a caller-provided pagesBySlug map — missing pages don't
crash, they just pass an empty source list to the judge (correct
behavior for genuinely unsupported claims).

**Tests (23):** classifyClaim happy/retry/fallback paths with stubbed
Haiku, aggregate accuracy math, threshold gating (pass/fail vs
baseline_only), runCat5 concurrency + missing-page handling,
renderClaimPrompt embeds claim + sources correctly, parseClassification
rejects invalid enum values + plain-text responses.

Total eval suite now: 250 pass, 0 fail.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(eval): Day 8 — Cat 8 skill compliance + Cat 9 end-to-end workflows

**eval/runner/cat8-skill-compliance.ts** — Deterministic, judge-free Cat 8
scoring. Replays inbound signals through the agent adapter (Day 5) and
extracts four iron-law metrics directly from the tool-bridge state:

  - brain_first_compliance: agent called search/get_page BEFORE producing
    its final answer. Non-compliance = hallucinating from general knowledge.
  - back_link_compliance: every dry_run_put_page intent has at least one
    markdown [Name](slug) back-link in its compiled_truth.
  - citation_format: timeline entries use canonical `- **YYYY-MM-DD** |
    Source — Summary`; long final answers cite at least one slug.
  - tier_escalation: simple probes use light tooling (≥1 brain call);
    complex probes require ≥2 brain calls or a dry_run write when
    expects_dry_run_write is set.

No judge call required — everything is computable from
`tool_bridge_state.made_dry_run_writes` + `count_by_tool` + final_answer
regex. Fast, deterministic, reproducible.

Bounded concurrency (p-limit style) worker pool at default 4 to keep
Sonnet rate limits comfortable across 100-probe batches.

**eval/runner/cat9-workflows.ts** — Rubric-graded Cat 9. 5 canonical
workflows (meeting_ingestion, email_to_brain, daily_task_prep, briefing,
sync) × ~10 scenarios each. Each scenario runs through the agent adapter,
then judge.ts scores the answer against a per-scenario rubric.

`buildEvidence(scenario, agentResult, pagesBySlug)` composes the
JudgeEvidence contract: resolves ground_truth_slugs to full
GroundTruthPage[] from a slug-map, pulls tool_call_summary directly from
tool_bridge_state (no raw tool_result content — Section-3 defense),
attaches rubric from the scenario.

Per-workflow rollup: each workflow gets its own pass_rate so the verdict
can fail one workflow without failing the whole Cat. Overall verdict
requires every populated workflow's pass_rate ≥ threshold (default 0.80)
when enableThreshold=true.

Both Cats default to verdict=baseline_only in v1 per codex fix #9: real
thresholds return after 10-probe Haiku-vs-hand-score calibration (κ > 0.7)
runs against the Day 3b amara-life-v1 corpus.

**Tests (23):** Cat 8 per-metric scorer unit tests covering every branch
(brain_first ordering, back-link compliance on mixed writes, long vs
short answer citation requirement, tier escalation for simple/complex/
writey probes, finalAnswerCiteCount dedups across syntaxes). Cat 9
buildEvidence contract shape — evidence_refs flow from agent, missing
slugs skip gracefully, no raw_transcript/tool_result leakage to judge.
Cat 9 runCat9 integration with stubbed agent + mixed-verdict judge
produces fractional pass rates correctly.

Total eval suite now: 273 pass, 0 fail.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(eval): Day 9 — sealed qrels via PublicPage + PublicQuery at adapter boundary

Codex fixes #1, #2, #3 from the plan's outside-voice review. Enforcement
shifts from SOFT-VIA-TYPE-COMMENT to SOFT-VIA-SANITIZED-OBJECT. Hard
enforcement via process isolation waits for BrainBench v2 Docker sandbox.

**eval/runner/types.ts** additions:
  - `PublicPage = Pick<Page, 'slug' | 'type' | 'title' | 'compiled_truth' |
    'timeline'>` — the exact 5 fields adapters should see. No _facts.
    No frontmatter (a known hiding spot for accidental gold leaks).
  - `sanitizePage(p: Page): PublicPage` — returns a NEW object with the 5
    fields only. Cannot be bypassed by `(page as any)._facts` because the
    field does not exist on the sanitized object.
  - `PublicQuery = Omit<Query, 'gold'>` — strips the gold field.
  - `sanitizeQuery(q: Query): PublicQuery` — enumerates public fields
    explicitly (not spread+delete) so no prototype weirdness leaves gold
    reachable.

**eval/runner/multi-adapter.ts** — scoreOneRun now calls sanitizePage /
sanitizeQuery before passing to adapter.init / adapter.query. The scorer
retains the full Query shape (including gold.relevant) for precision /
recall computation. Adapter signatures unchanged — the sealing is at the
OBJECT level, not the type level. This keeps existing adapters
(ripgrep-bm25, vector-only, hybrid-nograph, gbrain-after) binary-compatible.
Verified: no existing adapter reads q.gold or page._facts, so the change
is safe without further adapter updates.

**test/eval/sealed-qrels.test.ts** (17 tests):
  - sanitizePage strips _facts + frontmatter + arbitrary hidden keys
  - Output has exactly the 5 public keys (deep introspection)
  - Proxy tripwire simulates a malicious adapter: any access to _facts or
    gold throws `sealed-qrels violation`
  - sanitizeQuery retains optional fields (as_of_date, tags, author,
    acceptable_variants, known_failure_modes) but omits undefined ones
  - Honest documentation of the seal's limits: filesystem bypass and
    Proxy attacks would still work in v1; Docker isolation (v2) is the
    real enforcement

Every existing eval test still passes (273 before + 17 sealed-qrels = 290).

Total eval suite now: 290 pass, 0 fail.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat(eval): Day 10 — all.ts rewrite + llm-budget + BrainBench N tiers

Final wiring of BrainBench v1 Complete. all.ts now orchestrates the full
Cat catalog (1-12) via a mix of subprocess dispatch (Cats 1, 2, 3, 4, 6,
7, 10, 11, 12 — standalone runners with CLI entry points) and
programmatic invocation (Cats 5, 8, 9 — require runtime inputs that
can't come via CLI flags). Subprocess Cats run concurrently under a
p-limit(2) bound to cap peak memory around ~800MB (two PGLite instances
at ~400MB each).

Cats 5/8/9 show as "programmatic" in the report with a one-line
reference to their `runCatN({...})` harness API. They're deliberately
skipped from the master runner because their inputs (claim catalog,
probe catalog, scenario catalog, pre-seeded agent state, evidence
pagesBySlug) are task-specific and assembled at the caller.

**eval/runner/all.ts** — rewritten:
  - CATEGORIES is a tagged union of SubprocessCategory | ProgrammaticCategory
  - runCatSubprocess spawns Bun with pipe'd stdout/stderr, 10-min timeout
    per Cat (124 exit + SIGTERM on timeout; no hung subprocesses)
  - runConcurrently is a bounded worker pool preserving input order
  - buildReport emits the full markdown with per-Cat elapsed times,
    migration-noise filter, and a separate programmatic-only section
  - Honors BRAINBENCH_N (1/5/10 for smoke/iteration/published),
    BRAINBENCH_CONCURRENCY (default 2),
    BRAINBENCH_LLM_CONCURRENCY (default 4, consumed by llm-budget)

**eval/runner/llm-budget.ts** — shared LLM rate-limit semaphore. A full
N=10 published scorecard makes ~900 Anthropic calls (150 Cat 8/9 probes
× N=10 + 100 Cat 5 claims × N=10). Without coordination, concurrent
adapters trigger 429s on per-minute limits.

  - LlmBudget class: acquireSlot/releaseSlot + withLlmSlot(fn) wrapper
    that releases on success AND throw (try/finally)
  - getDefaultLlmBudget() singleton reads BRAINBENCH_LLM_CONCURRENCY,
    falls back to 4 on missing/garbage values
  - capacity enforced ≥1 (rejects 0/negative)
  - Double-release is a no-op (guards against upstream double-call bugs)
  - Active + waiting counts exposed for observability / tests

**package.json** scripts:
  - eval:brainbench           — default N=5 iteration
  - eval:brainbench:smoke     — N=1 for fast iteration
  - eval:brainbench:published — N=10 for committed baselines
  - eval:cat6 / eval:cat11    — individual new subprocess Cats

**Tests (24):** CATEGORIES catalog enforces the exact Cat-number partition
(subprocess: 1,2,3,4,6,7,10,11,12; programmatic: 5,8,9). runConcurrently
respects the cap (observable via peak in-flight counter), preserves input
order under non-uniform delays, handles empty input. LlmBudget enforces
capacity, releases on throw, honors env var, rejects 0/negative.
buildReport filters migration noise, counts passed/failed/programmatic
correctly, includes every Cat + programmatic-only section.

Full eval suite now: 314 pass, 0 fail (15 test files).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix(eval): drop top_p from amara-life-gen Opus params + gitignore _cache/

Two fixes surfaced during the Day 3b real-corpus run against Opus 4.5:

**eval/generators/amara-life-gen.ts** — Current Opus rejects
`temperature` and `top_p` together:
```
400 invalid_request_error: `temperature` and `top_p` cannot both be
specified for this model. Please use only one.
```
top_p=1.0 was a no-op (no nucleus truncation), so removing it has zero
semantic effect. The field is still part of MODEL_PARAMS for the cache
key so any past cache entries (none in v1) would invalidate cleanly
on the next schema version bump.

**.gitignore** — `eval/data/amara-life-v1/_cache/` is runtime Opus
cache (398 files, ~1.6MB). Regenerable from seed; no point in source
control. The corpus itself (inbox/slack/calendar/meetings/notes/docs +
corpus-manifest.json with per-item content_sha256) stays committable
for reproducibility, just the cache directory gets excluded.

Real corpus generation ran cleanly after these two fixes: 398 LLM
calls, 84,424 input / 38,062 output tokens, \$4.12 spent (vs \$20 cap,
vs \$12 estimate). All 418 items produced. Poison fixtures use
subtle paraphrased injection ("for anyone on your team who might be
triaging this thread later…") — exactly the pattern that defeats
regex redaction and requires the structured-evidence judge contract
from Day 5.

Corpus itself stays local (will move to the brainbench sibling repo
during the v0.16 split per the design doc). No eval/data/amara-life-v1/
content landing in this PR.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* chore: bump version to 0.20.0

Renumbered from 0.17.0 per the gbrain-versioning slot. Other work is
landing on master around this PR; 0.18 is the slot locked for this
BrainBench v1 Complete release. Also pushed the "brainbench split"
forward reference in the CHANGELOG from v0.18 → v0.19 to match.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* refactor: extract BrainBench to sibling gbrain-evals repo

BrainBench lived in this repo through v0.17, which meant every gbrain install
pulled down ~5MB of eval corpus, benchmark reports, and a pdf-parse devDep
that the 99% of users who never run benchmarks don't need.

v0.18 moves the full eval harness, 14 eval test files (314 tests), all
docs/benchmarks scorecards, and the pdf-parse devDep to
github.com/garrytan/gbrain-evals. That repo depends on gbrain via GitHub URL
and consumes it through a new public exports map.

What stays in gbrain:
- Page.type enum extensions (email | slack | calendar-event | note | meeting)
  useful for any ingested format, not just evals
- inferType() heuristics for /emails/, /slack/, /cal/, /notes/, /meetings/
- 11 new public exports covering the gbrain internals gbrain-evals consumes
  (gbrain/engine, gbrain/pglite-engine, gbrain/search/hybrid, etc.) — now
  gbrain's stable third-party contract

What moved:
- eval/ — 4.6MB of schemas, runners, adapters, generators, CLI tools
- test/eval/ — 14 test files, 314 tests
- docs/benchmarks/ — all scorecards and regression reports
- eval:* package.json scripts
- pdf-parse devDep

Tests: 1760 pass, 0 fail, 174 skipped (E2E require DATABASE_URL).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* Merge origin/master into garrytan/gbrain-evals

Master landed significant work since this branch was cut (v0.15.x → v0.16.x →
v0.17.0 gbrain dream + runCycle → v0.18.0 multi-source brains → v0.18.1 RLS
hardening). Bumped this branch's version from the claimed 0.18.0 to 0.19.0
because master already owns 0.18.x.

Conflicts resolved:
- VERSION: 0.19.0 (was 0.18.0 on HEAD vs 0.18.1 on master)
- package.json: 0.19.0, kept all 11 eval-facing exports, merged master's
  typescript devDep + postinstall script + test script (typecheck added)
- src/core/types.ts: union of both PageType additions. Master had added
  `meeting | note`; this branch added `email | slack | calendar-event`
  for inbox/chat/calendar ingest. Final enum carries all five.
- CHANGELOG.md: renumbered the BrainBench-extraction entry to 0.19.0 and
  placed it above master's 0.18.1 RLS entry. Tweaked copy ("In v0.17 it
  lived inside this repo" → "Previously it lived inside this repo") to
  stop implying a specific version that never shipped.
- CLAUDE.md: adjusted "BrainBench in a sibling repo" heading from
  (v0.18+) → (v0.19+).
- docs/benchmarks/2026-04-18-minions-vs-openclaw-production.md:
  resolved modify-vs-delete conflict in favor of delete (the extraction).
- scripts/llms-config.ts: dropped the docs/benchmarks/ entry (directory
  no longer exists here; lives in gbrain-evals).
- llms.txt / llms-full.txt: regenerated after the config change.
- bun.lock: accepted master's (master already dropped pdf-parse as a
  drive-by; aligned with our removal).

Tests: 2094 pass, 236 skip, 18 fail. Spot-checked failures — build-llms,
dream, orphans tests all pass in isolation. Failures reproduce only under
full-suite parallel load and are pre-existing master flakiness (matches the
graph-quality flake noted in the earlier summary). Not merge-introduced.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: bump to v0.20.0

Master is now at v0.18.2 (migration hardening + RLS + multi-source brains).
BrainBench extraction ships as v0.20.0 to leave v0.19 free for any in-flight
work on other branches.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* ci: remove eval-tests workflow (moved to gbrain-evals)

The Eval tests workflow ran `bun run eval:query:validate`, `test:eval`, and
`eval:world:render` — all three scripts moved to the gbrain-evals repo when
BrainBench was extracted in v0.20.0. The workflow has been failing on master
since the split because the scripts no longer exist here.

Eval CI now runs from gbrain-evals's own workflows.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(tests): bump PGLite hook timeouts to 60s for parallel-load stability

Six test files spin up PGLite + 20 migrations + git repos in beforeEach/
beforeAll hooks. Under 136-way parallel test file execution, bun's default
5s hook timeout wasn't enough, producing 18 flaky failures that only
reproduced under full-suite parallel load (all 6 files passed in isolation).

Root cause: PGLite.create() + initSchema() takes ~3-5s under idle load, but
under 136 concurrent WASM instantiations the OS thrashes and hooks stall
well past 5s. The bunfig.toml `timeout = 60_000` applies to TESTS, not HOOKS
— bun requires per-hook timeouts as the third beforeEach/beforeAll argument.

Files touched (hook timeouts added, no test logic changed):
- test/dream.test.ts           — 5 describe blocks × before/afterEach
- test/orphans.test.ts         — 1 beforeEach + afterEach
- test/core/cycle.test.ts      — shared beforeAll + afterAll
- test/brain-allowlist.test.ts — beforeAll + afterAll
- test/extract-db.test.ts      — beforeAll + afterAll
- test/multi-source-integration.test.ts — beforeAll + afterAll

Results: 2317 pass / 0 fail (was 2253 pass / 18 fail).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test: coverage for inferType() BrainBench corpus dirs

Closes the 1 gap surfaced by Step 7 coverage audit. 9 table-driven
assertions covering the new Page.type branches:
  emails/*.md, email/*.md       -> 'email'
  slack/*.md                    -> 'slack'
  cal/*.md, calendar/*.md       -> 'calendar-event'
  notes/*.md, note/*.md         -> 'note'
  meetings/*.md, meeting/*.md   -> 'meeting'

The fixtures use realistic paths from the amara-life-v1 corpus in the
sibling gbrain-evals repo (em-0001, sl-0037, evt-0042, mtg-0003) so the
test doubles as a contract check between the two repos.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs(TODOS): mark BrainBench Cats 5/6/8/9/11 + v0.10.5 inferLinkType as completed

All five BrainBench categories shipped in v0.20.0 (to the gbrain-evals
sibling repo). v0.10.5 inferLinkType regex expansion shipped in-tree.

Remaining P1 BrainBench work: Cat 1+2 at full scale (2-3K pages) —
currently 240 pages in world-v1 corpus.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: sync CLAUDE.md + polish CHANGELOG voice for v0.20.0

CLAUDE.md: add v0.19 commands to key-files list (skillify, skillpack,
routing-eval, filing-audit, skill-manifest, resolver-filenames);
add 8 new test files + openclaw-reference-compat E2E to test index;
repoint the release-summary template's benchmark source from
`docs/benchmarks/[latest].md` to `gbrain-evals/docs/benchmarks/` since
those files now live in the sibling repo.

CHANGELOG voice polish for v0.20.0: replace em dashes with periods,
parens, or ellipses per project style guide. No content changes.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: regenerate llms-full.txt after CLAUDE.md + CHANGELOG edits (fixes CI)

The v0.20.0 doc-sync commit (9e567bb) added 7 new v0.19 modules to the
CLAUDE.md Key Files index and polished CHANGELOG voice. Both are
includeInFull: true inputs to llms-full.txt but the generator wasn't
re-run, so the drift-detection guard (test/build-llms.test.ts) failed CI.

One-line fix: regenerate. No content changes beyond what the two source
docs already carry.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 00:08:54 -07:00
90c5d93fce feat: v0.18.0 — multi-source brains (one DB, many repos, federation + dotfile resolution) (#337)
* feat(v0.17.0 step 1/9): sources primitive — additive-only multi-source foundation

Lane A of the multi-repo plan. Installs the sources table and seeds a
'default' row that inherits sync.repo_path/last_commit from existing
config. This is the bisectable foundation every later step builds on;
the breaking schema changes (composite UNIQUE, files FK rewrite,
resolution_type, ingest_log.source_id) land with their paired code
rewrites in Steps 2/4/5/7 so no single commit breaks the engine.

- migration v16 (sources_table_additive) + v0_17_0 orchestrator skeleton
- sort-by-version guard in runMigrations (array insertion order can
  never cause a later migration to skip a lower one again)
- default source seeded with config '{"federated": true}' so pre-v0.17
  brains keep single-namespace search semantics after upgrade
- orchestrator phase B detects absence of file_migration_ledger and
  no-ops until Step 7 lands it
- 8 new structural tests in test/migrate.test.ts (shape, idempotency,
  scope-guard that nothing else was smuggled into v16)
- apply-migrations tests include v0.17.0 in the registered list

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(v0.17.0 step 2/9): pages.source_id + composite UNIQUE (Lane B)

Migration v17 adds pages.source_id with DEFAULT 'default' and swaps the
global UNIQUE(slug) for composite UNIQUE(source_id, slug). Ships atomically
with the engine's ON CONFLICT rewrite so the constraint swap and the code
that writes under it land in the same commit — no window where the engine
sees one shape and the schema has another.

Minimum-surface engine change: only putPage's ON CONFLICT target needs
re-targeting. Other slug-based queries work unchanged because single-
source brains (the only brain shape pre-Step-5) have exactly one source
'default', so slug remains effectively unique within it. Step 5+ will
surface an explicit sourceId param on putPage for cross-source sync.

- migration v17 (pages_source_id_composite_unique) in src/core/migrate.ts
- pages.source_id + composite UNIQUE added to schema.sql + pglite-schema.ts
  for fresh installs
- ON CONFLICT (slug) → ON CONFLICT (source_id, slug) in both pglite-engine
  and postgres-engine putPage
- DEFAULT 'default' closes the Codex-flagged race where an INSERT between
  ADD COLUMN and SET NOT NULL could leave source_id NULL
- 5 new v17 structural tests (29 pass / 0 fail in migrate.test.ts)
- Full suite: 1979 pass / 3 fail (same as baseline — no regressions)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(v0.17.0 step 6/9): sources CLI + source-resolver (Lane C)

Adds the CLI surface for multi-source management. Users can now register,
list, rename, federate/unfederate, and attach-to-directory a source. The
source-resolver is the shared 6-priority helper that Steps 4/5 will use
when they start surfacing an explicit --source flag on sync/extract/query.

Commands:
  gbrain sources add <id> --path <p> [--name <n>] [--federated|--no-federated]
  gbrain sources list [--json]
  gbrain sources remove <id> [--yes] [--dry-run] [--keep-storage]
  gbrain sources rename <id> <new-name>
  gbrain sources default <id>
  gbrain sources attach <id>   — writes .gbrain-source in CWD
  gbrain sources detach
  gbrain sources federate <id> / unfederate <id>

Resolution priority (source-resolver.ts) — highest first:
  1. --source flag  2. GBRAIN_SOURCE env  3. .gbrain-source dotfile walk-up
  4. longest-prefix match on registered local_path (Codex #2 fix)
  5. sources.default config  6. fallback 'default'

- add: validates id format (kebab-case alnum, 1-32), rejects overlapping
  paths (eng review §4 finding 4.1), supports federated default opt-in
- remove: guards against --yes omission + refuses to remove 'default',
  supports --dry-run, reports cascade page count
- attach/detach: matches kubectl/terraform context-pinning semantics
- Throws on overlap rather than process.exit() so the CLI error wrapper
  reports it consistently (also makes unit testing clean)

28 new tests across sources.test.ts (dispatcher + validation + overlap
guard) and source-resolver.test.ts (full 6-priority coverage including
longest-prefix). Full suite: 2012 pass / 3 fail (pre-existing PGLite
infra timeouts).

NOT in scope for Step 6 (deferred):
  - import-from-github (SSRF + clone integration)
  - prune (retention/TTL, lands v0.18)
  - MCP tool-defs regen for source-scoping on read ops (Step 5)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs(v0.17.0 step 8/9): getting-started guide + migration skill + citation rule

Step 8 (Lane F) documents what Steps 1+2+6 have shipped and sets up
the agent-facing rules for multi-source.

New files:
- skills/migrations/v0.17.0.md — migration skill read by host agents
  after `gbrain apply-migrations`. Covers the v16+v17 chain, what's
  in v0.17.0 vs what lands later (v0.17.1 ACL, v0.18 sessions), and
  the new sources CLI surface. Cites docs/guides/multi-source-brains.md
  as the recipe.
- docs/guides/multi-source-brains.md — getting-started for end users.
  Three canonical scenarios (unified wiki+gstack / purpose-separated
  yc-media+garrys-list / mixed), full resolution priority, federation
  flag semantics, command reference, and citation format.

skills/brain-ops/SKILL.md — new "Cross-source citation format"
section mandating `[source-id:slug]` when the brain has multiple
sources. Matches the contract the /plan-devex-review DX review
pinned down (DX Finding 5: surface source_id in every page payload
+ citation contract). Key must be sources.id (immutable), never
sources.name.

No behavior change — this is pure documentation for what already
exists in the binary. 144 skills conformance tests still pass.

NOT in this commit (deferred to later steps):
- docs/guides/repo-architecture.md rewrite (lands with the full
  v0.17.0 PR description + release notes)
- skills/_brain-filing-rules.md "which source to file into"
  guidance (lands with Step 5 when sync surfaces --source)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(v0.17.0 step 5/9): sync --source <id> routes through sources table (Lane D)

Adds the --source flag to `gbrain sync`. When set, sync reads local_path
+ last_commit from the matching sources(id) row instead of the global
sync.repo_path / sync.last_commit config keys, and writes last_commit +
last_sync_at back to the same row. Backward compat: --source omitted =
pre-v0.17 behavior exactly, global config path unchanged.

- SyncOpts.sourceId threaded through performSync + performFullSync
- readSyncAnchor/writeSyncAnchor helpers centralize the sources-vs-config
  branch so every read/write goes through one decision point. Makes
  Step 5's later per-source sync-failures tracking a one-file change.
- --source resolved via src/core/source-resolver.ts (Step 6), so any
  command that shell-exposes resolveSourceId gets env var + dotfile
  walk-up + longest-prefix for free.
- Error message for missing source local_path is actionable:
    Source "gstack" has no local_path. Run: gbrain sources add gstack --path <path>
- last_sync_at auto-updates on every last_commit advance so `gbrain
  sources list` shows real recency.

No regression: 2012 pass / 3 fail (same as baseline).

NOT in this commit (deferred per plan):
- Per-source failure tracking (~/.gbrain/sources/<id>/sync-failures.jsonl)
- runImport source-awareness (import.ts path — Step 5 continuation)
- Partial-success semantics when walking N sources — single-source flow
  today, multi-walk lands when the top-level `gbrain sync` without
  --source starts iterating all sources.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(v0.17.0 step 4/9): qualified [[source:slug]] + links.resolution_type (Lane B)

Adds source-pinned wikilink syntax and records the resolution kind on
each edge so `gbrain extract --refresh-unqualified` (future) can
re-resolve bare references when the source topology changes.

Wikilink syntax extension:
  [[concepts/ai]]             — unqualified; resolves via local-first fallback
  [[wiki:concepts/ai]]        — qualified; target pinned to sources.id='wiki'
  [[gstack:projects/foo|Display]]  — qualified + display name

The qualified regex runs first and masks matched spans so the
unqualified pass can't double-emit. Source id format enforced to match
the sources CLI validation: [a-z0-9](?:[a-z0-9-]{0,30}[a-z0-9])?

Schema:
- migration v18 adds links.resolution_type TEXT with CHECK constraint
  ('qualified'|'unqualified' or NULL for legacy/manual/frontmatter edges)
- schema.sql + pglite-schema.ts updated for fresh installs

EntityRef type:
- sourceId is OPTIONAL (only set on qualified wikilinks). Markdown
  [Name](path) and unqualified wikilinks omit it so strict toEqual
  tests pre-v0.17 keep working (69 existing tests still pass).

Tests:
- 5 new qualified-wikilink extraction tests + 1 migration v18 structural
  assertion. 75 tests in test/link-extraction.test.ts (up from 69).
- Full suite: 2018 pass / 3 fail (pre-existing PGLite infra timeouts).

NOT in this commit (deferred to Step 3 / Step 5 continuation):
- Writing resolution_type to the DB (addLink / addLinksBatch don't
  carry the field yet — that's the plumb-through that lands with
  Step 3 when search/dedup also needs source-aware result keys).
- `gbrain extract --refresh-unqualified` re-resolver.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(v0.17.0 step 3/9): source-aware search dedup composite keys (Lane B)

Search dedup now keys on (source_id, slug) instead of slug alone. Pre-
v0.17 would collapse two same-slug pages in different sources into
one, destroying cross-source recall. Codex outside-voice review flagged
this as regression-critical — this commit ships the fix plus tests
that lock the invariant in.

Dedup pipeline (src/core/search/dedup.ts):
- pageKey(r) helper — one canonical composite-key derivation. Falls
  back to source_id='default' for pre-v0.17 rows so single-source
  brains behave identically to before.
- Layer 1 (dedupBySource): group-by composite key.
- Layer 4 (capPerPage): count-by composite key.
- guaranteeCompiledTruth: swap scoped to matching (source_id, slug),
  so wiki:topics/ai can't accidentally pull gstack:topics/ai's
  compiled_truth chunk.

SearchResult type gains optional source_id — populated by SQL JOINs
in both engines, falls through as 'default' for legacy callers.

Engine SQL:
- pglite-engine.ts + postgres-engine.ts: search SELECTs add p.source_id
- rowToSearchResult (utils.ts): maps row.source_id → result.source_id
  when present. Shape stays backward compatible (field optional).

Tests — 4 new in test/dedup.test.ts:
- same-slug-different-source does NOT collapse (the critical regression
  guard Codex called out)
- same-slug-same-source DOES still collapse (no over-correction)
- missing source_id falls back to 'default' for pre-v0.17 compat
- compiled_truth guarantee scopes to composite key (Codex second pass
  caught this specific path would leak otherwise)

Full suite: 2022 pass / 3 fail (3 pre-existing PGLite infra timeouts).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(v0.17.0 step 7/9): file_migration_ledger + phase-B storage backfill (Lane E)

Adds files.source_id + files.page_id + the file_migration_ledger
state machine that drives storage object rewrites. Each per-file
transition is its own transaction so crash-point recovery is a
ledger read, not a filesystem inspection. Codex second-pass review
flagged that "skip if already has source prefix" was an unsafe
heuristic — the ledger replaces it with explicit state tracking.

Schema:
- migration v19 (files_source_id_page_id_ledger): handler-only
  (PGLite has no files table; Postgres-only gate). ADDs
  source_id + page_id to files, backfills page_id from page_slug
  scoped to source_id='default', creates file_migration_ledger
  with PK on file_id (Codex: not storage_path_old — two sources
  can share an old path during migration).
- schema.sql updated for fresh Postgres installs; file_migration_ledger
  gets RLS alongside other tables.

Runtime:
- src/commands/migrations/v0_17_0-storage-backfill.ts: drives the
  ledger state machine pending → copy_done → db_updated → complete.
  Idempotent per row: re-running resumes from whichever state
  crashed. Old objects preserved (no delete) so operators can
  verify the soak window before a future cleanup release.
- phase B in v0_17_0.ts orchestrator: wires the storage backend
  (Supabase/S3/local) through createStorage, runs runStorageBackfill,
  reports per-state counts + first-three error details.

Tests — 13 new in test/storage-backfill.test.ts:
- pending → copy_done → db_updated → complete happy path
- 3 crash-point recovery tests (resume from copy_done, resume from
  db_updated, failed rows don't auto-retry)
- already-complete rows are skipped with zero side effects
- idempotent re-upload (exists-check skips redundant upload)
- dry-run mode (no storage, reports counts without mutating)

Plus 5 new migrate.test.ts assertions for v19 structure (handler-
only, PGLite gate, source_id + page_id + ledger DDL, default-source
backfill scope, state machine values).

Full suite: 2035 pass / 3 fail (3 pre-existing PGLite infra
timeouts).

NOT in this commit (explicitly deferred):
- DROP old page_slug column — kept for backward compat until
  operators have time to verify page_id everywhere.
- DROP old UNIQUE(storage_path) in favor of UNIQUE(source_id,
  storage_path) — same reason, deferred to later cleanup.
- Actual cleanup phase that deletes old objects post-soak.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(v0.17.0 step 9/9): full multi-source PGLite integration suite (Lane G)

End-to-end exercise of every v0.17.0 surface against real PGLite
(in-memory, fast — no DATABASE_URL needed). The migration chain
v2→v19 runs start-to-finish and the test asserts each Step's
invariants hold together.

16 new integration tests across 7 describes:

1. Migration-installed state:
   - sources('default') exists with federated=true config
   - pages.source_id column has DEFAULT 'default'
   - composite UNIQUE (source_id, slug) is installed

2. Default-source write path:
   - putPage without explicit source → source_id='default' via schema
     default clause (no engine API change needed for single-source brains)

3. Composite UNIQUE regression guards (Codex-flagged):
   - Same slug in two different sources coexists
   - Third insert with same (source_id, slug) hits the UNIQUE constraint

4. sources CLI round-trip:
   - federate / unfederate flips config.federated
   - rename changes display, id stays immutable

5. Source resolution priority (integration):
   - Explicit flag > env var > fallback to default
   - Unregistered explicit source errors with actionable message

6. Cascade semantics:
   - sources remove cascades to pages; default source untouched

7. links.resolution_type (Step 4):
   - Qualified/unqualified values accepted
   - CHECK constraint rejects invalid values

All 16 tests pass. Full suite: 2042 pass / 4 fail (4 pre-existing
PGLite beforeEach timeouts in test/wait-for-completion,
test/extract-fs, test/e2e/search-quality, test/e2e/graph-quality
— count fluctuated 3-5 on baseline from variance alone).

Total new tests across Steps 1-9: ~85 unit + integration tests
(sources, source-resolver, migrate v16/v17/v18/v19 structural,
link-extraction qualified wikilinks, dedup regression-critical,
storage-backfill state machine + crash recovery, full
multi-source PGLite integration).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* chore: bump to v0.18.0 + CHANGELOG entry (multi-source brains)

One-viewport release summary + itemized changes covering all 9 steps
of the multi-source primitive. Notes the v0.17 → v0.18 version bump
rationale (master shipped gbrain dream as v0.17 while this branch was
in flight).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(ci): v0_18_0 orchestrator TS narrow + mechanical test ON CONFLICT

Two CI failures on PR #337:

1. tsc TS2367 at src/commands/migrations/v0_18_0.ts:190 —
   after the early-return on `a.status === 'failed'` (line 179),
   TypeScript narrows `a.status` to `'skipped' | 'complete'`, so the
   subsequent `a.status === 'failed' ? 'failed' :` branch was dead
   code and refused to compile. Dropped the redundant check.

2. E2E `file_list LIMIT enforcement` at test/e2e/mechanical.test.ts:636 —
   the test pre-seeded a pages row with `ON CONFLICT (slug) DO NOTHING`
   but v21 swapped the global UNIQUE for `UNIQUE (source_id, slug)`, so
   Postgres rejects with "no unique or exclusion constraint matching".
   Updated the conflict target to the composite key.

Tier-1 E2E had only this one failing test; everything else passed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(e2e): v0.18.0 multi-source against real Postgres (v20-v23 schema + cascade + sync)

Closes the three biggest confidence gaps the author flagged in the
self-audit of PR #337:

1. No real Postgres E2E — PGLite has no files table, so v23's
   files.source_id + files.page_id rewrite + file_migration_ledger
   seed was NEVER executed against the real DB. This file covers it.

2. `gbrain sync --source <id>` had zero direct tests. Now has two:
   one that asserts performSync({sourceId}) reads local_path from the
   sources row (not the global config), one that asserts no-sourceId
   falls back to the global sync.repo_path.

3. Cascade delete coverage — previously verified only pages count
   after source removal. Now verifies pages + content_chunks +
   timeline_entries + links + files ALL cascade-delete when a source
   is removed.

6 describes, 16 tests total:

- Schema shape (fresh install): 6 tests confirming sources('default'),
  pages.source_id NOT NULL with DEFAULT, composite UNIQUE pages
  (source_id, slug) replaces global UNIQUE(slug), links.resolution_type
  column + CHECK, files.source_id + page_id columns, file_migration_ledger
  table + status CHECK.

- Composite UNIQUE semantics: 3 tests confirming same-slug in two
  sources coexists (Codex-critical regression guard), duplicate
  (source_id, slug) hits the UNIQUE, putPage targets default source
  by schema DEFAULT.

- Cascade delete: 1 test building a fully populated source (2 pages,
  chunks, timeline, links, files) then removing it + asserting every
  dependent row is gone.

- Sync routing: 2 tests confirming performSync({sourceId}) reads
  per-source local_path vs global config.

- Sources surface: 3 tests for federate/unfederate flipping + rename
  preserving id.

- Storage backfill: 1 end-to-end test seeding ledger + running
  runStorageBackfill against a stub StorageBackend, asserting
  pending → complete transition and files.storage_path rewrite.

Gated by DATABASE_URL per CLAUDE.md E2E lifecycle. Each describe's
beforeAll defensively DELETEs non-default sources + file_migration_ledger
rows so reruns are hermetic (sources isn't in helpers.ALL_TABLES).

Verified: 16/16 pass on first run AND second run (residual-state fix
holds). Full E2E suite still green.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(ci): TS2352 in multi-source E2E — cast postgres.js RowList via unknown

tsc rejects the direct
  `(rows as { column_name: string }[]).map(...)`
cast because postgres.js RowList rows have an iterable-row shape that
doesn't overlap with the plain-object target. Standard fix: cast via
`unknown` first so the narrowing is explicit.

Verified: `bunx tsc --noEmit` clean (ignoring the pre-existing baseUrl
deprecation warning).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* fix(v0.18.0): addLinksBatch + addTimelineEntriesBatch source-aware JOINs

Batch APIs JOINed on pages.slug globally, so two pages sharing the same
slug across sources would silently fan out — addLinksBatch(['a->b']) in
a brain with 'a' in both 'default' and 'alt' wrote 2 edges instead of 1.
Same bug on addTimelineEntriesBatch.

Fix:
- LinkBatchInput + TimelineBatchInput gain optional source_id fields
  (from_source_id, to_source_id, origin_source_id for links; source_id
  for timeline). All default to 'default' so existing callers are
  backward-compatible on single-source brains.
- pglite-engine + postgres-engine batch JOINs now composite-key on
  (slug, source_id). Postgres adds 3 more unnest arrays for links + 1
  for timeline — still one bind per column, no 65535-param cap risk.
- LEFT JOIN for origin pages also source-qualified so frontmatter-
  provenance edges don't cross-pollinate across sources.

Regression coverage:
- test/pglite-engine.test.ts: 5 new tests covering default-path isolation,
  explicit alt-source writes, and cross-source edges.
- test/e2e/multi-source.test.ts: 4 new tests against real Postgres so
  postgres-js's unnest() bind path is exercised (structurally different
  from PGLite's).

Gap #4 from the PR self-audit — latent bug, not previously reachable
because every existing caller wrote to the default source only.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 16:24:23 -07:00