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Author SHA1 Message Date
Garry TanandClaude Fable 5 89579780e0 fix(embed): extend #1717 model labeling to the embed-backfill stale path
src/core/embed-stale.ts (used by the embed-backfill minion handler) built
its merged ChunkInput without a model field, so every chunk on a touched
page — re-embedded AND preserved — was relabeled to the engine default on
each backfill pass. Mirror the embed.ts semantics: stamp the resolved
gateway label on re-embedded chunks, carry the existing label on untouched
ones. Pinned by a PGLite test that fails without the fix.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-22 11:06:16 -07:00
cf2deedfc6 fix(embed): label content_chunks.model with the model that produced the vector (#1717)
The embed paths (embedPage, embedAll, embedAllStale) and the inline
import/sync embed paths built ChunkInput[] without a model field, so the
engines' upsertChunks defaulted content_chunks.model to the hardcoded
DEFAULT_EMBEDDING_MODEL instead of the gateway-configured model that
actually produced the vector.

- New core helper resolveEmbeddingModelLabel() in src/core/embedding.ts
  (returns the resolved gateway model, undefined when unconfigured).
- embed.ts: stamp the label on (re)embedded chunks in all three paths;
  chunks preserved from a prior embed keep their existing model so a
  mixed-model page isn't relabeled wholesale.
- import-file.ts: stamp the label on inline-embedded markdown chunks and
  re-embedded code chunks; reused (incremental) code-chunk embeddings
  carry their existing model label forward.

Takeover of PR #1803 (rebased onto master over the pace-mode changes;
helper moved into core so import-file.ts can share it).

Co-authored-by: harjothkhara <harjothkhara@users.noreply.github.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-21 14:42:17 -07:00
12 changed files with 148 additions and 126 deletions
+14 -1
View File
@@ -1,5 +1,5 @@
import type { BrainEngine } from '../core/engine.ts';
import { embedBatch, currentEmbeddingSignature } from '../core/embedding.ts';
import { embedBatch, currentEmbeddingSignature, resolveEmbeddingModelLabel } from '../core/embedding.ts';
import type { ChunkInput } from '../core/types.ts';
import { chunkText } from '../core/chunkers/recursive.ts';
import { createProgress, type ProgressReporter } from '../core/progress.ts';
@@ -581,11 +581,16 @@ async function embedPage(
for (let j = 0; j < toEmbed.length; j++) {
embeddingMap.set(toEmbed[j].chunk_index, embeddings[j]);
}
// #1717: label each (re)embedded chunk with the model that actually
// produced its vector. Preserved chunks (not re-embedded this pass) keep
// their existing model so a mixed-model page isn't relabeled wholesale.
const embedModelLabel = resolveEmbeddingModelLabel();
const updated: ChunkInput[] = chunks.map(c => ({
chunk_index: c.chunk_index,
chunk_text: c.chunk_text,
chunk_source: c.chunk_source,
embedding: embeddingMap.get(c.chunk_index),
model: embeddingMap.has(c.chunk_index) && embedModelLabel ? embedModelLabel : c.model,
token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
}));
@@ -717,12 +722,16 @@ async function embedAll(
for (let j = 0; j < toEmbed.length; j++) {
embeddingMap.set(toEmbed[j].chunk_index, embeddings[j]);
}
// #1717: stamp the resolved embedding model on (re)embedded chunks;
// preserve the existing model on chunks left untouched.
const embedModelLabel = resolveEmbeddingModelLabel();
// Preserve ALL chunks, only update embeddings for stale ones
const updated: ChunkInput[] = chunks.map(c => ({
chunk_index: c.chunk_index,
chunk_text: c.chunk_text,
chunk_source: c.chunk_source,
embedding: embeddingMap.get(c.chunk_index) ?? undefined,
model: embeddingMap.has(c.chunk_index) && embedModelLabel ? embedModelLabel : c.model,
token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
}));
await observed(pacer, () => engine.upsertChunks(page.slug, updated, pageOpts));
@@ -1012,11 +1021,15 @@ async function embedAllStale(
for (let j = 0; j < stale.length; j++) {
staleIdxToEmbedding.set(stale[j].chunk_index, embeddings[j]);
}
// #1717: label the re-embedded (stale) chunks with the resolved
// model; preserve the existing model on the non-stale chunks.
const embedModelLabel = resolveEmbeddingModelLabel();
const merged: ChunkInput[] = existing.map(c => ({
chunk_index: c.chunk_index,
chunk_text: c.chunk_text,
chunk_source: c.chunk_source,
embedding: staleIdxToEmbedding.get(c.chunk_index) ?? undefined,
model: staleIdxToEmbedding.has(c.chunk_index) && embedModelLabel ? embedModelLabel : c.model,
token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
}));
await observed(pacer, () => engine.upsertChunks(slug, merged, { sourceId: keySourceId }));
+5 -5
View File
@@ -197,7 +197,7 @@ export interface SyncResult {
/** Pages re-embedded during this sync's auto-embed step. 0 if --no-embed or skipped. */
embedded: number;
pagesAffected: string[];
failedFiles?: number; // count of per-file import/sync failures (Bug 9)
failedFiles?: number; // count of parse failures (Bug 9)
/**
* v0.41.13.0 partial-sync fields (only set when status === 'partial').
*
@@ -3183,7 +3183,7 @@ async function performSyncInner(engine: BrainEngine, opts: SyncOpts): Promise<Sy
await clearOpCheckpoint(engine, ckpt.target);
};
// issue #1939 adversarial finding #1: a file that failed to import (open ledger
// issue #1939 adversarial finding #1: a file that failed to parse (open ledger
// row) and is then deleted/renamed-away never re-enters failedFiles and never
// imports, so its row would never clear and would age doctor to a permanent
// FAIL. Treat removed paths as resolved so the ledger self-heals.
@@ -3215,9 +3215,9 @@ async function performSyncInner(engine: BrainEngine, opts: SyncOpts): Promise<Sy
} else {
const fileFailCount = failedFiles.filter(f => isSkippablePath(f.path)).length;
serr(
`\nSync blocked: ${fileFailCount} file(s) failed to import:\n` +
`\nSync blocked: ${fileFailCount} file(s) failed to parse:\n` +
`${codeBreakdown}\n\n` +
`Fix the listed file errors and re-run, or use 'gbrain sync --skip-failed' to ` +
`Fix the frontmatter and re-run, or use 'gbrain sync --skip-failed' to ` +
`acknowledge and move on. A file that keeps failing auto-skips after ` +
`${resolveAutoSkipThreshold()} consecutive syncs.`,
);
@@ -5355,7 +5355,7 @@ function printSyncResult(result: SyncResult, sink: NodeJS.WriteStream = process.
case 'dry_run':
break; // already printed in performSync
case 'blocked_by_failures':
write(`Sync BLOCKED at ${result.toCommit.slice(0, 8)}: ${result.failedFiles ?? 0} file(s) failed to import.`);
write(`Sync BLOCKED at ${result.toCommit.slice(0, 8)}: ${result.failedFiles ?? 0} file(s) failed to parse.`);
write(` See ~/.gbrain/sync-failures.jsonl for details, or run 'gbrain doctor'.`);
write(` Fix the files then re-run 'gbrain sync', or 'gbrain sync --skip-failed' to move on.`);
break;
+7
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@@ -20,6 +20,7 @@
import type { BrainEngine } from './engine.ts';
import type { ChunkInput } from './types.ts';
import { embedBatchWithBackoff } from '../commands/embed.ts';
import { resolveEmbeddingModelLabel } from './embedding.ts';
import { type DbPacer, createNoopPacer, observed } from './db-pacer.ts';
import { AbortError } from './abort-check.ts';
@@ -200,11 +201,17 @@ export async function embedStaleForSource(
for (let j = 0; j < stale.length; j++) {
staleIdxToEmbedding.set(stale[j].chunk_index, embeddings[j]);
}
// #1717: label re-embedded chunks with the model that produced the
// vector; preserved chunks keep their existing model. Without this,
// upsertChunks falls back to DEFAULT_EMBEDDING_MODEL for every chunk
// (the same mislabel the embed.ts paths fixed).
const embedModelLabel = resolveEmbeddingModelLabel();
const merged: ChunkInput[] = existing.map((c) => ({
chunk_index: c.chunk_index,
chunk_text: c.chunk_text,
chunk_source: c.chunk_source,
embedding: staleIdxToEmbedding.get(c.chunk_index) ?? undefined,
model: staleIdxToEmbedding.has(c.chunk_index) && embedModelLabel ? embedModelLabel : c.model,
token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
// Carry through per-chunk metadata. upsertChunks writes these as
// EXCLUDED.<col> (not COALESCE), so omitting them here resets image
+15
View File
@@ -113,6 +113,21 @@ export async function embedBatch(
return results;
}
/**
* Resolve the embedding model label (`provider:model`) to stamp onto
* `content_chunks.model`, so each chunk records the model that actually
* produced its vector instead of the engine's hardcoded default (#1717).
* Returns undefined if the gateway is unconfigured; callers then fall back
* to the chunk's existing model rather than mislabeling it.
*/
export function resolveEmbeddingModelLabel(): string | undefined {
try {
return gatewayGetModel();
} catch {
return undefined;
}
}
/** Currently-configured embedding model (short form without provider prefix). */
export function getEmbeddingModelName(): string {
return gatewayGetModel().split(':').slice(1).join(':') || 'text-embedding-3-large';
+11 -1
View File
@@ -8,7 +8,7 @@ import { chunkText } from './chunkers/recursive.ts';
import { chunkCodeText, chunkCodeTextFull, detectCodeLanguage, CHUNKER_VERSION } from './chunkers/code.ts';
import { findChunkForOffset } from './chunkers/edge-extractor.ts';
import { extractCodeRefs, imageOfCandidates } from './link-extraction.ts';
import { embedBatch, embedMultimodal, currentEmbeddingSignature } from './embedding.ts';
import { embedBatch, embedMultimodal, currentEmbeddingSignature, resolveEmbeddingModelLabel } from './embedding.ts';
import { slugifyPath, slugifyCodePath, isCodeFilePath } from './sync.ts';
import type { ChunkInput, PageInput, PageType } from './types.ts';
import { computeEffectiveDate } from './effective-date.ts';
@@ -716,8 +716,12 @@ export async function importFromContent(
? chunks.map((c) => wrapChunkForEmbedding(c.chunk_text, prefix, c.chunk_source))
: chunks.map((c) => c.chunk_text);
const embeddings = await embedBatch(wrappedTexts);
// #1717: label each chunk with the model that actually produced its
// vector, not the engine's hardcoded default.
const embedModelLabel = resolveEmbeddingModelLabel();
for (let i = 0; i < chunks.length; i++) {
chunks[i].embedding = embeddings[i];
if (embedModelLabel) chunks[i].model = embedModelLabel;
// token_count tracks the wrapped string length so cost reporting
// reflects what we actually sent to the embedder.
chunks[i].token_count = Math.ceil(wrappedTexts[i].length / 4);
@@ -1141,7 +1145,10 @@ export async function importCodeFile(
const matched = existingByKey.get(key);
if (matched && matched.embedding) {
// Reuse the existing embedding verbatim. No API call, no cost.
// #1717: carry the existing model label along with the reused vector
// so the upsert doesn't relabel it with the engine default.
chunks[i]!.embedding = matched.embedding as Float32Array;
chunks[i]!.model = matched.model ?? undefined;
chunks[i]!.token_count = matched.token_count ?? undefined;
} else {
needsEmbedIndexes.push(i);
@@ -1153,9 +1160,12 @@ export async function importCodeFile(
try {
const textsToEmbed = needsEmbedIndexes.map((i) => chunks[i]!.chunk_text);
const embeddings = await embedBatch(textsToEmbed);
// #1717: stamp the model that produced these vectors.
const embedModelLabel = resolveEmbeddingModelLabel();
for (let j = 0; j < needsEmbedIndexes.length; j++) {
const i = needsEmbedIndexes[j]!;
chunks[i]!.embedding = embeddings[j]!;
if (embedModelLabel) chunks[i]!.model = embedModelLabel;
chunks[i]!.token_count = Math.ceil(chunks[i]!.chunk_text.length / 4);
}
} catch (e: unknown) {
-10
View File
@@ -1058,16 +1058,6 @@ export class PGLiteEngine implements BrainEngine {
RETURNING id, source_id, slug, type, title, compiled_truth, timeline, frontmatter, content_hash, created_at, updated_at, effective_date, effective_date_source, import_filename, source_kind, source_uri, ingested_via, ingested_at`,
[sourceId, slug, page.type, pageKind, page.title, page.compiled_truth, page.timeline || '', JSON.stringify(frontmatter), hash, effectiveDate, effectiveDateSource, importFilename, chunkerVersion, sourcePath, sourceKind, sourceUri, ingestedVia, ingestedAt]
);
// #2189: an INSERT … ON CONFLICT DO UPDATE … RETURNING that yields 0 rows
// (e.g. a BEFORE trigger suppressing the write) previously crashed in
// rowToPage with an opaque "undefined is not an object (row.deleted_at)".
// Throw a diagnosable error naming the row instead. Mirrors postgres-engine.ts.
if (!rows[0]) {
throw new Error(
`putPage: INSERT … RETURNING produced no row for slug='${slug}' source_id='${sourceId}'. ` +
`A trigger or rule on the pages table may be suppressing the write.`
);
}
return rowToPage(rows[0] as Record<string, unknown>);
}
-10
View File
@@ -1119,16 +1119,6 @@ export class PostgresEngine implements BrainEngine {
ingested_at = COALESCE(EXCLUDED.ingested_at, pages.ingested_at)
RETURNING id, source_id, slug, type, title, compiled_truth, timeline, frontmatter, content_hash, created_at, updated_at, effective_date, effective_date_source, import_filename, source_kind, source_uri, ingested_via, ingested_at
`;
// #2189: an INSERT … ON CONFLICT DO UPDATE … RETURNING that yields 0 rows
// (e.g. a BEFORE trigger suppressing the write) previously crashed in
// rowToPage with an opaque "undefined is not an object (row.deleted_at)".
// Throw a diagnosable error naming the row instead. Mirrors pglite-engine.ts.
if (!rows[0]) {
throw new Error(
`putPage: INSERT … RETURNING produced no row for slug='${slug}' source_id='${sourceId}'. ` +
`A trigger or rule on the pages table may be suppressing the write.`
);
}
return rowToPage(rows[0]);
}
+46
View File
@@ -15,6 +15,7 @@ import { describe, test, expect, beforeAll, afterAll, beforeEach } from 'bun:tes
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
import { resetPgliteState } from './helpers/reset-pglite.ts';
import { embedStaleForSource } from '../src/core/embed-stale.ts';
import { configureGateway, resetGateway } from '../src/core/ai/gateway.ts';
import type { ChunkInput } from '../src/core/types.ts';
let engine: PGLiteEngine;
@@ -276,4 +277,49 @@ describe('embedStaleForSource', () => {
// The stale text row actually got its embedding.
expect(txtRow.embedded_at).not.toBeNull();
});
// #1717: the backfill path must label re-embedded chunks with the model
// that produced the vector, and preserve the existing label on chunks it
// did not touch (before the fix, both were reset to the engine default).
test('labels re-embedded chunks with the gateway model, preserves untouched labels (#1717)', async () => {
configureGateway({
embedding_model: 'openai:text-embedding-3-large',
env: { OPENAI_API_KEY: 'sk-test-embed-stale-1717' },
});
try {
await engine.putPage('notes/model-label', {
type: 'note',
title: 'model-label',
compiled_truth: '# model-label\n\nseeded',
});
await engine.upsertChunks('notes/model-label', [
{
chunk_index: 0,
chunk_text: 'already embedded elsewhere',
chunk_source: 'compiled_truth',
embedding: new Float32Array(1536).fill(0.01),
model: 'voyage:voyage-3',
token_count: 4,
},
{
chunk_index: 1,
chunk_text: 'stale chunk needing embed',
chunk_source: 'compiled_truth',
token_count: 5,
embedding: undefined, // stale
},
]);
const result = await embedStaleForSource(engine, 'default', { embedFn: fakeEmbedFn });
expect(result.embedded).toBe(1);
const after = await engine.getChunks('notes/model-label');
const preserved = after.find((c) => c.chunk_index === 0)!;
const reembedded = after.find((c) => c.chunk_index === 1)!;
expect(reembedded.model).toBe('openai:text-embedding-3-large');
expect(preserved.model).toBe('voyage:voyage-3');
} finally {
resetGateway();
}
});
});
+33
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@@ -37,6 +37,8 @@ mock.module('../src/core/embedding.ts', () => ({
// setPageEmbeddingSignature / invalidateStaleSignatureEmbeddings resolve to
// null via the Proxy default, so the signature value is inert here.
currentEmbeddingSignature: () => 'test:model:1536',
// #1717: embed paths stamp this label on (re)embedded chunks.
resolveEmbeddingModelLabel: () => 'openai:text-embedding-3-large',
}));
// Import AFTER mocking.
@@ -803,3 +805,34 @@ describe('embedAllStale --source threading (D7)', () => {
expect((firstCallOpts as { sourceId?: string }).sourceId).toBe('media-corpus');
});
});
// #1717: content_chunks.model must record the model that actually produced
// each vector, not the gateway/engine default.
describe('content_chunks.model labeling (#1717)', () => {
test('stamps the resolved embedding model on re-embedded chunks, preserves it on untouched chunks', async () => {
let upserted: any[] | undefined;
// Chunk 0 is stale (no embedded_at) → gets re-embedded this pass.
// Chunk 1 is already embedded with a DIFFERENT model → must be preserved,
// not relabeled to the current model.
const chunks = [
{ chunk_index: 0, chunk_text: 'a', chunk_source: 'compiled_truth', embedded_at: null, model: 'zeroentropyai:zembed-1', token_count: 1 },
{ chunk_index: 1, chunk_text: 'b', chunk_source: 'compiled_truth', embedded_at: '2026-01-01', embedding: new Float32Array(1536), model: 'voyage:voyage-3', token_count: 1 },
];
const engine = mockEngine({
getPage: async () => ({ slug: 'notes/x', compiled_truth: 'a', timeline: '', source_id: 'default' }),
getChunks: async () => chunks,
upsertChunks: async (_slug: string, c: any[]) => { upserted = c; },
setPageEmbeddingSignature: async () => null,
});
await runEmbedCore(engine, { slugs: ['notes/x'] });
expect(upserted).toBeDefined();
const byIdx = Object.fromEntries(upserted!.map(c => [c.chunk_index, c]));
// Re-embedded chunk carries the model that produced its vector (was
// mislabeled with the default before the fix).
expect(byIdx[0].model).toBe('openai:text-embedding-3-large');
// Untouched chunk keeps its original model — no wholesale relabel.
expect(byIdx[1].model).toBe('voyage:voyage-3');
});
});
@@ -73,4 +73,21 @@ describe('importFromContent embedding_signature stamping (F1)', () => {
await importFromContent(engine, 'concepts/unstamped', '# Unstamped\n\nbody content.', { noEmbed: true });
expect(await signatureOf('concepts/unstamped')).toBeNull();
});
// #1717: content_chunks.model must record the model that produced the
// vector (the configured gateway model), not the engine's hardcoded
// default. The gateway here is configured to openai:text-embedding-3-large,
// which differs from DEFAULT_EMBEDDING_MODEL — so this fails without the
// import-path model stamping.
test('inline embed labels content_chunks.model with the configured model (#1717)', async () => {
await importFromContent(engine, 'concepts/labeled', '# Labeled\n\nsome body content to chunk and embed.', {});
const rows = await engine.executeRaw<{ model: string }>(
`SELECT cc.model FROM content_chunks cc
JOIN pages p ON p.id = cc.page_id
WHERE p.slug = $1 AND p.source_id = 'default'`,
['concepts/labeled'],
);
expect(rows.length).toBeGreaterThan(0);
for (const r of rows) expect(r.model).toBe('openai:text-embedding-3-large');
});
});
-74
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@@ -1,74 +0,0 @@
// #2189 regression guard: putPage's INSERT … ON CONFLICT DO UPDATE … RETURNING
// can yield 0 rows when brain-local DB state (e.g. a BEFORE INSERT trigger)
// suppresses the write. Pre-fix, rowToPage(rows[0]) crashed with the opaque
// "undefined is not an object (evaluating 'row.deleted_at')" that failed
// ~all files of a code sync. Post-fix, putPage throws a descriptive error
// naming the slug + source_id so the failure is diagnosable per-file.
//
// Same guard lands in postgres-engine.ts (engine-parity invariant); this test
// exercises the PGLite side, where the issue was reported.
import { describe, expect, test, beforeAll, afterAll } from 'bun:test';
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
let engine: PGLiteEngine;
beforeAll(async () => {
engine = new PGLiteEngine();
await engine.connect({});
await engine.initSchema();
// Simulate the reporter's state-dependent failure: a trigger that
// suppresses inserts for one slug, making RETURNING produce no row.
await engine.executeRaw(`
CREATE OR REPLACE FUNCTION suppress_pages_insert() RETURNS trigger AS $$
BEGIN
IF NEW.slug = 'suppressed-page' THEN RETURN NULL; END IF;
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
`);
await engine.executeRaw(`
CREATE TRIGGER suppress_pages_insert_trg
BEFORE INSERT ON pages
FOR EACH ROW EXECUTE FUNCTION suppress_pages_insert();
`);
});
afterAll(async () => {
await engine.executeRaw('DROP TRIGGER IF EXISTS suppress_pages_insert_trg ON pages');
await engine.executeRaw('DROP FUNCTION IF EXISTS suppress_pages_insert');
await engine.disconnect();
});
describe('putPage RETURNING guard (#2189)', () => {
test('0-row RETURNING throws a descriptive error, not row.deleted_at TypeError', async () => {
let err: Error | undefined;
try {
await engine.putPage('suppressed-page', {
type: 'code',
title: 'Suppressed',
compiled_truth: 'x',
timeline: '',
});
} catch (e) {
err = e as Error;
}
expect(err).toBeDefined();
expect(err!.message).toContain('putPage');
expect(err!.message).toContain("slug='suppressed-page'");
expect(err!.message).toContain("source_id='default'");
// The pre-fix crash signature must be gone.
expect(err!.message).not.toContain('deleted_at');
});
test('unsuppressed slugs still upsert normally with the trigger installed', async () => {
const page = await engine.putPage('normal-page', {
type: 'concept',
title: 'Normal',
compiled_truth: 'y',
timeline: '',
});
expect(page.slug).toBe('normal-page');
expect(page.source_id).toBe('default');
});
});
-25
View File
@@ -375,31 +375,6 @@ describe('performSync dry-run never writes', () => {
expect(messages.some(m => m.includes('git pull failed'))).toBe(false);
});
test('first PGLite code sync imports code files without runtime failures', async () => {
const { performSync } = await import('../src/commands/sync.ts');
mkdirSync(join(repoPath, 'src'), { recursive: true });
writeFileSync(
join(repoPath, 'src/example.ts'),
'export function add(left: number, right: number) { return left + right; }\n',
);
execSync('git add -A && git commit -m "add code file"', { cwd: repoPath, stdio: 'pipe' });
const result = await performSync(engine, {
repoPath,
noPull: true,
noEmbed: true,
noExtract: true,
strategy: 'code',
});
expect(result.status).toBe('first_sync');
expect(result.added).toBe(1);
expect(result.failedFiles ?? 0).toBe(0);
const page = await engine.getPage('src-example-ts');
expect(page?.type).toBe('code');
expect(page?.frontmatter).toMatchObject({ file: 'src/example.ts', language: 'typescript' });
});
test('incremental dry-run does NOT write to DB or advance the bookmark', async () => {
const { performSync } = await import('../src/commands/sync.ts');
// First do a real sync to seed the bookmark.