SELF-ENGINE-LIFECYCLE-SPRINT + BRAINY-PROD-LATENCY-TRIAD, the four asks:
(a) brain.flush() persists aggregation state stamped at the committed
generation. The stamp used to advance only at close(), so a long-lived
writer that flushes but never closes — the primary production shape —
left every write window behind the stamp, and ANY unclean exit forced a
whole-store backfill walk (per-entity work, measured >60s and
door-starving on a 9k-row production brain) on the first stats call.
(b) BEHIND-stamp adoption becomes adopt + INCREMENTAL CATCH-UP: the exact
missing window (stamp, committed] resolves its affected-id set from the
fact log and reconciles each entity with time-travel before/after reads
(asOf at both window bounds) through the same delta algebra the live
hooks use — cost bounded by writes since the last flush, never store
size, and exact under interleaving because reconciliation targets the
FIXED window end while later writes chain through hooks. Oversized
windows (>5000 affected) and unreadable windows demote to the announced
rescan — never a silent partial serve.
(c) The native provider's parallel rebuildAggregate — on the contract since
8.x but never invoked anywhere — is now the backfill walk's preferred
door: one call per aggregate with source-matched entities, replacing
the per-entity FFI stream.
(d) A delete whose before-image is unavailable can no longer SKIP the
aggregation hook silently (counts drifted upward forever): both delete
paths (remove() and transact) flag an exact rescan, loudly.
Pins: integration (flush stamp; unclean-exit reopen → exact counts through
an add + group-move + delete window with the walk spy proving ZERO
whole-store walks) + unit (provider rebuild invoked once with filtered
entities; flagAllForRescan; reconcile delta algebra). Gates: unit 1913/1913
· integration 760 · conformance 27/27.
Four fixes from a consumer conformance report, one root disease — two
field-resolution regimes where there must be one:
- The delete/update aggregation hooks fed the engine a partial entity
view (type/service/data/metadata only), so a reserved-field groupBy
(subtype, visibility, ...) resolved to a nonexistent group on the way
down: counts drifted upward forever after deletes, and updates moving
an entity between reserved-field groups double-counted. The hooks now
pass the full-fidelity view via entityForAggFromRawRecord (every
reserved field top-level, mirroring the add path); the update sites
pass the full get() view instead of a hand-rolled subset.
- Aggregation source.where resolved fields only against the custom
metadata bag, so where on a reserved field silently matched nothing.
The matcher now resolves each filtered field through
resolveEntityField — the same single source of truth groupBy uses.
- removeMany() with no usable selector (bare array passed positionally,
empty params, ids: []) resolved successfully having deleted nothing.
All three now throw; the two legacy tests that pinned the silent
no-op as 'graceful' now pin the refusal.
- find() where keys accept both spellings: a metadata.-prefixed key
falls back to its flattened spelling when the prefixed one is not
indexed (metadata is flattened at index time). A literal nested custom
key named metadata still wins when indexed as spelled.
Five regression pins in aggregate-reserved-fields.test.ts (4 of 5 vary
red on the unfixed code).
- Aggregation backfill walks build into a STAGING map and swap in atomically
on completion. A mid-walk failure drops the staging map — the previous live
state keeps serving, the aggregate stays flagged pending, and the storage
error surfaces to the failing query. Previously the walk wiped live state
before a scan that could throw, never cleared the pending flag on failure,
and re-ran a full walk on every subsequent query: a silent wipe/walk/throw
loop at the caller's retry rate.
- Failed walks are latched: retries within a 30s cooldown rethrow the recorded
error instantly instead of re-walking, so a tight caller-side retry loop
costs one loud error per query, never a full store walk per query.
- Persisted aggregation state is stamped with the store's committed generation
at flush; reopen adoption requires stamp equality. Stale state (unclean
shutdown) or over-counting state (a log truncation on a copied store pulled
the watermark back) triggers exactly one loud rescan, never a silent adopt.
- The backfill/adoption path narrates: adoption decisions, walk start/finish
with counts and duration, and failures all log by default.
- getNouns/getVerbs refuse a supplied-but-undecodable pagination cursor with a
loud error instead of silently restarting the walk at offset 0 (which
re-served page 1 forever to any while(hasMore) caller).
- The graph cold-load verb walk aborts loudly on a missing or non-advancing
cursor with hasMore=true.
- A versioned index provider whose generation is AHEAD of the committed
watermark (torn copy / crash-recovery truncation) is now named loudly at
open, alongside the existing behind-direction message.
- AggregationIndex: defineAggregate before init no longer forces a backfill.
init reconciles instead of clobbering: the app definition wins, persisted
state is adopted on hash match, a write landing pre-adoption forces an exact
rescan, and a successful state load clears the backfill flag. New ready()
settles every adoption decision before query paths consult backfill state.
- brainy: backfills are single-flight and batched. Concurrent queries share one
store walk and every pending aggregate fills from that same walk; the old
behavior let each concurrent query wipe the others' partial state and start
its own full walk, so a store under steady aggregate traffic never converged.
queryAggregate also waits for persisted definitions before deciding an
aggregate does not exist.
- paramValidation: recordQuery is telemetry-only. The duration-based cap
ratchet (x0.8 per recorded query while lifetime-average exceeded 1s, floored
at 1000 - below the documented 10000 auto floor, reported under a stale
basis label) is removed; the cap comes from its construction-time basis or
explicit overrides alone.
- storage: __aggregation_* and singleton system keys (brainy:entityIdMapper)
are recognized before the unknown-key warning fires; routing is unchanged.
- docs: find-limits cap-immutability note, aggregation reopen/adoption
semantics, RELEASES.md 8.5.1 entry.
The debounced materialization caught its failure with an empty `catch (() => {})`,
silently leaving the materialized Measurement entity stale; the aggregation-index
init() state-load failure was swallowed the same way, leaving aggregates reading
empty with no signal. Both are non-fatal (values rebuild via backfill-on-query),
but a silent stale/empty read violates loud-errors-never-quiet-losses. Both now
emit a loud warning naming the affected group / cause.
The 3.0 native engine ships as @soulcraft/cor (brainy 8.x <-> cor 3.x are a
version-matched pair); the old @soulcraft/cortex package stays on the 2.x/7.x
line. Public docs and .d.ts-visible comments now name the correct package.
Historical 2.x contract references (e.g. the 2.3.1 read-side fallback) keep
the old name deliberately.
- id-normalization (#18): `brain.newId()` (UUID v7) + v7 default ids; non-UUID string ids are
transparently normalized to a stable UUID v5 on creation AND every lookup — get/update/remove,
relate(from,to), related, find({connected}), getMany, removeMany, the transact op-handler, and
db.with() overlays — with the caller's original key preserved under `_originalId`. The engine only
ever sees a UUID; real UUIDs pass through untouched. universal/uuid.ts gains v5/v7/isUUID +
BRAINY_ID_NAMESPACE; new utils/idNormalization.ts (coerceNewEntityId / resolveEntityId).
- aggregation min/max delete-safety: `queryAggregate` no longer leaves a stale min/max after
deleting the current extreme — min/max now track a value multiset and recompute in-memory (no
entity scan; that scan was the prior delete-then-hang a consumer reported). Other metrics were
already exact across deletes. Regression test proves resolve-after-delete + correct new min/max.
- release.sh RC-safe: explicit version arg, prerelease detection (npm `--tag rc` + GitHub
`--prerelease`), full `test:ci` gate (unit + integration), current-branch push, npm-access
verification after publish.
- native-engine references point at `@soulcraft/cor` (8.0's partner) in user-facing strings/docs.
Unit 1461/0 · integration 599/0 · tsc clean.
distinctCount previously routed through getNumericField, so it silently returned 0 for
string/categorical fields — its primary use case (distinct categories / users / tags).
It now tracks the raw value (any type, keyed by string form) on both the add and remove
contribution paths; numeric ops (sum/avg/min/max/stddev/variance/percentile) are unchanged.
Also adds regression coverage confirming two long-standing query behaviors hold on the 8.0
engine: find({ where: { field: { missing: true } } }) matches a never-registered field, and
find({ type: [...], orderBy, limit }) returns the full set on the first call after
mutate+query+get. (percentile/median were already correct.)
Tests: tests/unit/brainy/find-agg-edge-cases.test.ts + existing aggregation suite green.
Brainy 7.30 shipped opt-in subtype enforcement; SDK 3.20.0 then registered
SDK_CORE_VOCABULARY on every consumer's brain (Event, Collection, Message,
Contract, Media, Document NounTypes). On 2026-06-08 Venue's /book flow went 500
because their brain.add({ type: NounType.Event, ... }) call sites lacked
subtype. An audit of Brainy's OWN source revealed 14 HIGH-risk internal write
paths that also omit subtype — any consumer running the same vocabulary would
have hit Brainy's infrastructure paths next. 7.30.1 closes both gaps before
8.0 makes strict mode the default.
Additive across the board. Zero behavior change for consumers not using strict
mode. Every change is JS-side — Cortex needs no work for 7.30.1.
NEW — brain.audit() diagnostic
- Read-only method walking storage.getNouns() / getVerbs() pagination
- Returns { entitiesWithoutSubtype: { type: count }, relationshipsWithoutSubtype,
total, scanned, recommendation }
- VFS infrastructure entities excluded by default (they bypass enforcement via
isVFSEntity marker); pass { includeVFS: true } to surface them
- The companion to migrateField (7.x) and fillSubtypes (8.0): tells consumers
exactly what would break under strict enforcement, deterministically
NEW — Improved enforcement error messages
- Caller's source location extracted from Error().stack so users see their own
call site, not a Brainy internal frame
- Specific guidance branches: registered vocabulary → "Pass one of: a, b, c";
brain-wide strict mode → mentions the except clause; otherwise → registration
recipe via brain.requireSubtype()
- Documentation link to the canonical migration recipe
- Same shape for noun and verb enforcement
NEW — CLI --subtype flag
- brainy add and brainy relate gain -s/--subtype <value>
- Defaults to 'cli-add' / 'cli-relate' so the CLI works against strict-mode
brains without the user needing to know the vocabulary in advance
INTERNAL — every Brainy write path now sets subtype
- VFS Contains edges (5 sites at lines 503/905/1694/1772/1886) → 'vfs-contains'
- VFS symlink entity → 'vfs-symlink' (NEW — distinct from 'vfs-file')
- VFS copy-file → preserves source subtype, falls back to 'vfs-file'
- VFS symlink also adopts the isVFSEntity infrastructure marker so it bypasses
enforcement in strict mode
- Aggregation materializer (Measurement entities) → 'materialized-aggregate'
- ImportCoordinator (3 sites): document → 'import-source'; entities →
options.defaultSubtype ?? 'imported'; placeholder → 'import-placeholder'
- SmartImportOrchestrator (4 entity sites + 2 batch relate sites): same
precedence (extractor → options.defaultSubtype → 'imported')
- EntityDeduplicator → candidate.subtype ?? 'imported'
- UniversalImportAPI → extractor → 'extracted' for both entities and relations
- NeuralImport → adds defaultSubtype to NeuralImportOptions; precedence same
- GoogleSheetsIntegration → request body 'subtype' ?? 'imported-from-sheets'
- ODataIntegration → request body 'Subtype' ?? 'imported-from-odata'
- MCP client message storage → 'mcp-message' (also fixes pre-existing missing
data field and missing type by aliasing from the prior text field)
Side-effect fix: storage.getNouns() paginated now surfaces subtype to top-level
- Single-noun getNoun() already did this in 7.30; the paginated path was missed
- Without this fix brain.audit() saw missing subtype on entities that actually
had one (caught by the strict-mode self-test before release)
NEW — tests/integration/strict-mode-self-test.test.ts (13 tests)
- Creates a brain under the exact SDK_CORE_VOCABULARY shape Venue hit + brain-
wide strict mode
- Exercises every internal Brainy path: VFS root + mkdir + writeFile + cp + mv
+ ln + symlink; aggregation engine; audit diagnostic with includeVFS toggle
- Validates error message UX: caller location, vocabulary guidance, brain-wide
strict mode guidance, off-vocabulary value reporting
Docs
- New "Strict mode in practice" section in docs/guides/subtypes-and-facets.md
covering the SDK_CORE_VOCABULARY pattern, 4-step migration recipe
(audit → migrateField → hand-fix → re-audit), the Brainy-internal label
reference table, and an 8.0 forward-look on fillSubtypes()
- docs/api/README.md: new audit() entry, strict-mode tips on add() and relate()
- RELEASES.md: full 7.30.1 entry
Cortex parity (forward-looking, not blocking 7.30.1)
- 6th open question added to .strategy/BRAINY-8.0-SUBTYPE-CONTRACT.md: native
fast path for audit() and fillSubtypes() via column-store null-subtype
bitmap for billion-scale brains
- Cortex should add a parity test mirroring strict-mode-self-test.test.ts
against their native paths to catch any latent bug where native writes
bypass JS validation
- Brainy-internal subtype labels become a documented part of the 8.0 contract
(useful for Cortex telemetry surfacing Brainy-managed infrastructure %)
Verification
- npx tsc --noEmit: clean
- npm test: 1468/1468 unit
- 7.29 noun integration suite: 26/26 (no regression)
- 7.30 verb subtype + enforcement integration suite: 30/30 (no regression)
- New strict-mode-self-test integration suite: 13/13
- npm run build: clean
- Closed-source product reference audit: clean
Addresses VE-SUBTYPE-MIGRATION (Venue's reported request) and ships internal
labels Venue did NOT ask for but that would have broken them next under their
own vocabulary registration.
Replace localeCompare (default-locale, non-deterministic across environments —
unsafe for a persisted sorted index) with UTF-8 byte / code-point order via a
shared compareCodePoints() helper. String ordering is now deterministic and
byte-identical to the native column store / aggregation sort, so results are the
same with or without the native accelerator. Covers the aggregate orderBy sort
and all 5 column-store comparison sites (tail buffer, merge sort, binary search).
Adds compareCodePoints unit tests.
Add 'percentile' (with a 'p' fraction in [0,1]) and 'distinctCount' to the
aggregation engine. Both are exact, computed from a per-metric value multiset
(MetricState.valueCounts) maintained incrementally and delete-safe; percentile
uses numpy-linear interpolation. The multiset is JSON-serializable so results
survive persistence. 35 aggregation unit tests pass.
- groupBy now supports { field, unnest: true }: an entity contributes once per
distinct element of an array field (tag frequency / faceted counts). Duplicate
elements on one entity count once; an empty/missing array joins no group. The
incremental add/update/delete paths fan out across the unnested groups.
- extractEntities/extractConcepts batch-embed the unique candidate spans in one
embedBatch call instead of one embed() per candidate (N sequential model calls);
falls back to per-candidate embedding if the batch fails. No behavior change.
New report APIs:
- brain.queryAggregate(name, params) returns the clean AggregateResult[] shape
({ groupKey, metrics, count }) directly, instead of the search-Result wrapper that
find({ aggregate }) returns.
- HAVING: find({ aggregate, having }) and queryAggregate filter groups by computed
metric values (e.g. revenue > 1000), complementing where (which filters group keys).
Evaluated per group: O(groups), independent of entity count.
Fixes (all reproducible on Node; surfaced under Cortex+Bun by Memory):
- Aggregate backfill-on-define: defining an aggregate over a store that already holds
matching entities returned []. It now backfills from existing entities on first query
(storage-agnostic via getNouns), so it works under durable backends that reopen
pre-populated. groupBy:['noun'] resolves to the entity type; find({ aggregate }) rows
expose groupKey/metrics/count at the top level.
- Multi-hop find({ connected: { depth, via } }) honors depth and via at every hop
(was 1-hop only, with verb filtering applied to hop 1 only); BFS bounded by limit.
- extractEntities no longer bleeds a neighbour's type indicator across candidates; each
candidate is typed by its own span. Also fixes the "Dr." title pattern.
Adds real-embedding regression tests; full unit suite green.
Preventive cleanup of sites that previously used dual-lookup patterns
(metadata[field] ?? entity[field]) or hardcoded timestamp if-chains
to read fields off HNSWNounWithMetadata. These worked today but were
fragile — the same failure mode that caused the orderBy sort bug
would have recurred the next time someone reordered or dropped a
lookup.
- AggregationIndex.computeGroupKey + getNumericField now route all
dimension and metric field lookups through resolveEntityField.
- improvedNeuralAPI._getItemsByTimeWindow + _clusterItemsByField
use resolveEntityField as the primary path, with item.data as a
legacy producer fallback. The type/nounType legacy branch is
preserved as-is since it handles storage format compatibility
rather than shape contract drift.
No behavior change for correct inputs. All aggregation and orderby
regression tests pass unchanged.
Add a write-time incremental aggregation engine that maintains running
totals on every add/update/delete for O(1) read performance. Integrates
into brain.find({ aggregate }) for a unified query API.
Core features:
- AggregationIndex with defineAggregate()/removeAggregate() API
- Five aggregation operations: SUM, COUNT, AVG, MIN, MAX
- GROUP BY with multiple dimensions including time windows
- Time window bucketing: hour, day, week, month, quarter, year, custom
- Materialization of results as NounType.Measurement entities
- Debounced persistence of definitions and state to storage
- Definition change detection via FNV-1a hashing with auto-rebuild
- Infinite loop prevention for materialized entities
- 'aggregation' plugin provider key for native acceleration
- Lazy initialization (created on first defineAggregate() call)
- 73 tests (unit + integration) covering all functionality
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
