fix(embed): thread write column into sumStaleChunkChars — sync cost gate followed the legacy predicate (#1262)

Review follow-up: the PR threaded the write-side column through
countStaleChunks/listStaleChunks but not sumStaleChunkChars, so the
sync cost gate counted an alt-column brain's fully-embedded corpus as
phantom backlog on every gate (inflating the --full estimate and the
deferred-mode backlog note). Both engines already share
buildStaleChunkWhere, so this is a type widening + one call-site
thread + a contrast assertion.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

src/commands/calibration.ts

@@ -19,7 +19,7 @@
  */
 
 import type { BrainEngine } from '../core/engine.ts';
-import { resolveCalibrationHolder, runPhaseCalibrationProfile } from '../core/cycle/calibration-profile.ts';
+import { runPhaseCalibrationProfile } from '../core/cycle/calibration-profile.ts';
 import { sourceScopeOpts, type OperationContext } from '../core/operations.ts';
 import type { GBrainConfig } from '../core/config.ts';
 import { GBrainError } from '../core/types.ts';
@@ -167,7 +167,7 @@ export async function runCalibration(
   config: GBrainConfig,
 ): Promise<void> {
   const { opts } = parseArgs(args);
-  const holder = await resolveCalibrationHolder(engine, opts.holder);
+  const holder = opts.holder ?? 'garry';
   // Resolve --source / GBRAIN_SOURCE / .gbrain-source so the (now reachable, #2035)
   // calibration command targets the right source in a multi-source brain instead
   // of always reading `default`. No signal → 'default' (prior behavior).
@@ -253,14 +253,14 @@ export async function getCalibrationProfileOp(
   ctx: OperationContext,
   params: { holder?: string },
 ): Promise<CalibrationProfileRow | null> {
-  if (params.holder !== undefined && (typeof params.holder !== 'string' || params.holder.length === 0)) {
+  const holder = params.holder ?? 'garry';
+  if (typeof holder !== 'string' || holder.length === 0) {
     throw new GBrainError(
       'INVALID_HOLDER',
       'get_calibration_profile.holder must be a non-empty string',
-      'pass holder="<slug>" or omit to default to the calibration.user_holder config (then "garry")',
+      'pass holder="<slug>" or omit to default to "garry"',
     );
   }
-  const holder = await resolveCalibrationHolder(ctx.engine, params.holder);
   const scope = sourceScopeOpts(ctx);
   return getLatestProfile(ctx.engine, { holder, ...scope });
 }

src/commands/embed.ts

@@ -1,6 +1,7 @@
 import type { BrainEngine } from '../core/engine.ts';
 import { embedBatch, currentEmbeddingSignature } from '../core/embedding.ts';
-import type { ChunkInput } from '../core/types.ts';
+import type { ChunkInput, ResolvedColumn } from '../core/types.ts';
+import { resolveWriteColumnForEngine } from '../core/search/embedding-column.ts';
 import { chunkText } from '../core/chunkers/recursive.ts';
 import { createProgress, type ProgressReporter } from '../core/progress.ts';
 import { getCliOptions, cliOptsToProgressOptions } from '../core/cli-options.ts';
@@ -183,8 +184,13 @@ export class EmbeddingDimMismatchError extends Error {
  * fresh-install bug class at the very first invocation instead of letting
  * the worker pool hammer N pages with raw 22000 errors.
  */
-async function preflightDimMismatch(engine: BrainEngine, dryRun: boolean): Promise<void> {
+async function preflightDimMismatch(engine: BrainEngine, dryRun: boolean, embeddingColumn?: ResolvedColumn): Promise<void> {
   if (dryRun) return; // dry-run never embeds, no risk
+  // #1262: an alt-column brain writes to `embeddingColumn`, not the legacy
+  // `embedding` column — the legacy column's dims are irrelevant, and the
+  // registry entry (validated at resolve time) pins the target's dims. Only
+  // the legacy default path needs the schema-vs-gateway dim comparison.
+  if (embeddingColumn && embeddingColumn.name !== 'embedding') return;
   const { readContentChunksEmbeddingDim, embeddingMismatchMessage } = await import('../core/embedding-dim-check.ts');
   const { getEmbeddingDimensions, getEmbeddingModel } = await import('../core/ai/gateway.ts');
   let existing;
@@ -238,7 +244,12 @@ export async function runEmbedCore(engine: BrainEngine, opts: EmbedOpts): Promis
   // v0.37.11.0 (Lane D.2): pre-flight dim-mismatch check. Catches the headline
   // fresh-install bug class before the worker pool spends 20 parallel calls
   // hitting raw Postgres dimension errors.
-  await preflightDimMismatch(engine, !!opts.dryRun);
+  // #1262: resolve the write-side embedding column ONCE at the boundary
+  // (merged config + gateway model) and thread the descriptor through every
+  // upsertChunks / stale-scan below. undefined => legacy `embedding` column.
+  const embeddingColumn = await resolveWriteColumnForEngine(engine);
+
+  await preflightDimMismatch(engine, !!opts.dryRun, embeddingColumn);
 
   const result: EmbedResult = {
     embedded: 0,
@@ -253,7 +264,7 @@ export async function runEmbedCore(engine: BrainEngine, opts: EmbedOpts): Promis
     for (const s of opts.slugs) {
       if (isAborted(opts.signal)) break; // #1737: stop the per-slug loop on abort
       try {
-        await embedPage(engine, s, !!opts.dryRun, result, opts.sourceId, opts.signal);
+        await embedPage(engine, s, !!opts.dryRun, result, opts.sourceId, opts.signal, embeddingColumn);
       } catch (e: unknown) {
         serr(`  Error embedding ${s}: ${e instanceof Error ? e.message : e}`);
       }
@@ -347,7 +358,7 @@ export async function runEmbedCore(engine: BrainEngine, opts: EmbedOpts): Promis
         catchUp: opts.catchUp,
         pacer,
         paceMaxConcurrency,
-      }, opts.signal);
+      }, opts.signal, embeddingColumn);
     } finally {
       // E1: surface pacing telemetry (human + structured) when pacing was on.
       const snap = pacer.snapshot();
@@ -376,7 +387,7 @@ export async function runEmbedCore(engine: BrainEngine, opts: EmbedOpts): Promis
     return result;
   }
   if (opts.slug) {
-    await embedPage(engine, opts.slug, !!opts.dryRun, result, opts.sourceId, opts.signal);
+    await embedPage(engine, opts.slug, !!opts.dryRun, result, opts.sourceId, opts.signal, embeddingColumn);
     return result;
   }
   throw new Error('No embed target specified. Pass { slug }, { slugs }, { all }, or { stale }.');
@@ -521,8 +532,13 @@ async function embedPage(
   result: EmbedResult,
   sourceId?: string,
   signal?: AbortSignal,
+  embeddingColumn?: ResolvedColumn,
 ) {
   const opts = sourceId ? { sourceId } : undefined;
+  // #1262: write-side descriptor rides only on WRITE calls (upsertChunks).
+  const chunkOpts = (sourceId || embeddingColumn)
+    ? { ...(sourceId && { sourceId }), ...(embeddingColumn && { embeddingColumn }) }
+    : undefined;
   const page = await engine.getPage(slug, opts);
   if (!page) {
     throw new Error(`Page not found: ${slug}`);
@@ -554,7 +570,7 @@ async function embedPage(
     }
 
     if (inputs.length > 0) {
-      await engine.upsertChunks(slug, inputs, opts);
+      await engine.upsertChunks(slug, inputs, chunkOpts);
       chunks = await engine.getChunks(slug, opts);
     }
   }
@@ -589,7 +605,7 @@ async function embedPage(
     token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
   }));
 
-  await engine.upsertChunks(slug, updated, opts);
+  await engine.upsertChunks(slug, updated, chunkOpts);
   // v0.41.31: stamp provenance so a later model/dims swap is detectable as
   // stale. embedPage is the per-slug path used by `gbrain embed <slug>` AND
   // by `gbrain sync`'s post-import embed step (runEmbedCore({slugs})).
@@ -622,6 +638,7 @@ async function embedAll(
     paceMaxConcurrency?: number;
   },
   signal?: AbortSignal,
+  embeddingColumn?: ResolvedColumn,
 ) {
   // v0.41.31: current embedding provenance signature. Stamped onto pages
   // when their chunks are (re)embedded so a later model/dimension swap is
@@ -644,7 +661,7 @@ async function embedAll(
     // D7: thread sourceId so `gbrain embed --stale --source X` actually scopes.
     // v0.41.18.0 (A13): thread batchSize/priority/catchUp into the stale path.
     // #1737: thread the external abort signal so the cycle embed phase bails.
-    return await embedAllStale(engine, sourceId, dryRun, result, onProgress, staleOpts, signature, signal);
+    return await embedAllStale(engine, sourceId, dryRun, result, onProgress, staleOpts, signature, signal, embeddingColumn);
   }
 
   // --all path: pacer (no-op when off). E-1: lower the worker count to the
@@ -725,7 +742,10 @@ async function embedAll(
         embedding: embeddingMap.get(c.chunk_index) ?? undefined,
         token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
       }));
-      await observed(pacer, () => engine.upsertChunks(page.slug, updated, pageOpts));
+      await observed(pacer, () => engine.upsertChunks(page.slug, updated, {
+        ...(pageSourceId && { sourceId: pageSourceId }),
+        ...(embeddingColumn && { embeddingColumn }),
+      }));
       // v0.41.31: stamp embedding provenance so a later model swap is
       // detectable as stale.
       await observed(pacer, () =>
@@ -805,10 +825,16 @@ async function embedAllStale(
   },
   signature?: string,
   externalSignal?: AbortSignal,
+  embeddingColumn?: ResolvedColumn,
 ) {
   // D7: thread sourceId so source-scoped runs only count + visit
   // that source's NULL embeddings.
-  const sourceOpt = sourceId ? { sourceId } : undefined;
+  // #1262: the stale predicate follows the write-side column — without it an
+  // alt-column brain would perpetually re-select (and re-pay for) chunks whose
+  // target column is already populated.
+  const sourceOpt = (sourceId || embeddingColumn)
+    ? { ...(sourceId && { sourceId }), ...(embeddingColumn && { embeddingColumn }) }
+    : undefined;
 
   // v0.41.31: re-embed pages whose embedding_signature drifted (model/dims
   // swap). dry-run must NOT mutate, so it counts signature-stale via the
@@ -967,6 +993,7 @@ async function embedAllStale(
             afterUpdatedAt,
           }),
           ...(sourceId && { sourceId }),
+          ...(embeddingColumn && { embeddingColumn }),
         }),
       );
       if (batch.length === 0) {
@@ -1019,7 +1046,10 @@ async function embedAllStale(
             embedding: staleIdxToEmbedding.get(c.chunk_index) ?? undefined,
             token_count: c.token_count || Math.ceil(c.chunk_text.length / 4),
           }));
-          await observed(pacer, () => engine.upsertChunks(slug, merged, { sourceId: keySourceId }));
+          await observed(pacer, () => engine.upsertChunks(slug, merged, {
+            sourceId: keySourceId,
+            ...(embeddingColumn && { embeddingColumn }),
+          }));
           // v0.41.31: stamp provenance after the page's chunks are embedded —
           // but only when EVERY chunk was stale (fully re-embedded this pass).
           // A partially-stale page keeps preserved chunks of unknown/old
@@ -1090,7 +1120,7 @@ async function embedAllStale(
   // as a clean run — re-running won't help until the underlying failure is fixed.
   if (staleOpts?.catchUp && !effectiveSignal.aborted && embedFailures > 0) {
     const remaining = await engine.countStaleChunks(
-      signature ? { signature, ...(sourceId ? { sourceId } : {}) } : (sourceId ? { sourceId } : undefined),
+      signature ? { signature, ...sourceOpt } : sourceOpt,
     );
     if (remaining > 0) {
       serr(`\n  [embed] catch-up finished but ${remaining} chunk(s) remain stale after ${embedFailures} embed failure(s). These are not embeddable as-is; re-running won't clear them until the underlying error is resolved.`);

src/commands/sync.ts

@@ -576,9 +576,16 @@ async function runInlineCostGate(
 
   // Stale backlog: cheap single SQL; fail-open to 0 so a transient DB hiccup
   // never blocks the sync. Signature-aware (model/dims swap surfaces here).
+  // #1262: follow the write-side embedding column — otherwise an alt-column
+  // brain's fully-embedded corpus counts as phantom backlog on every gate.
   let staleChars = 0;
   try {
-    staleChars = await engine.sumStaleChunkChars({ signature: currentEmbeddingSignature() });
+    const { resolveWriteColumnForEngine } = await import('../core/search/embedding-column.ts');
+    const embeddingColumn = await resolveWriteColumnForEngine(engine);
+    staleChars = await engine.sumStaleChunkChars({
+      signature: currentEmbeddingSignature(),
+      ...(embeddingColumn && { embeddingColumn }),
+    });
   } catch {
     staleChars = 0;
   }

src/core/config.ts

@@ -928,10 +928,6 @@ export const KNOWN_CONFIG_KEYS: readonly string[] = [
   // Emotional weight (v0.29)
   'emotional_weight.high_tags',
   'emotional_weight.user_holder',
-  // Calibration holder (#1726): persistent default for the nightly
-  // calibration_profile phase + `gbrain calibration`, symmetric with
-  // emotional_weight.user_holder. Falls back to 'garry' when unset.
-  'calibration.user_holder',
   // Cycle phase config
   'cycle.grade_takes.write_gstack_learnings',
   // Content sanity (v0.41)

src/core/contextual-retrieval-service.ts

@@ -61,6 +61,7 @@ import {
   type SynopsisFailureKind,
 } from './audit-synopsis.ts';
 import type { BrainEngine } from './engine.ts';
+import { resolveWriteColumnForEngine } from './search/embedding-column.ts';
 import type { ChunkInput, CRMode, Page } from './types.ts';
 import type { SourceRow } from './sources-ops.ts';
 
@@ -286,9 +287,13 @@ export async function reembedPageWithContextualRetrieval(
 
       // ── PHASE 2: single DB transaction ───────────────────────────
       try {
+        // #1262: contextual re-embeds write TEXT embeddings — thread the
+        // caller-resolved write column like every other embed path.
+        const embeddingColumn = await resolveWriteColumnForEngine(args.engine);
         await args.engine.transaction(async (tx) => {
           await tx.upsertChunks(args.pageSlug, phase1.embeddedChunks, {
             sourceId: args.sourceId,
+            ...(embeddingColumn && { embeddingColumn }),
           });
           await tx.updatePageContextualRetrievalState(
             args.pageSlug,

src/core/cycle/calibration-profile.ts

@@ -96,7 +96,7 @@ export type PatternStatementsGenerator = (input: {
 export type BiasTagsGenerator = (patterns: string[]) => Promise<string[]>;
 
 export interface CalibrationProfileOpts extends BasePhaseOpts {
-  /** Holder to generate the profile for. Default: `calibration.user_holder` config, then 'garry'. */
+  /** Holder to generate the profile for. Default 'garry'. */
   holder?: string;
   /** Inject the patterns generator (tests). */
   patternsGenerator?: PatternStatementsGenerator;
@@ -194,26 +194,6 @@ export function parseBiasTagsOutput(raw: string): string[] {
     .slice(0, 4);
 }
 
-/**
- * #1726: resolve the calibration holder. Explicit param wins, then the
- * persistent `calibration.user_holder` config key (symmetric with
- * emotional_weight.user_holder), then the legacy 'garry' default. Fail-open:
- * a missing config table / mock engine without getConfig falls through.
- */
-export async function resolveCalibrationHolder(
-  engine: BrainEngine,
-  explicit?: string,
-): Promise<string> {
-  if (explicit) return explicit;
-  try {
-    const configured = await engine.getConfig('calibration.user_holder');
-    if (configured && configured.trim().length > 0) return configured.trim();
-  } catch {
-    // Config unavailable — use the legacy default.
-  }
-  return 'garry';
-}
-
 /** Pick the "loudest" pattern slot for the template fallback. */
 function pickFallbackSlots(scorecard: TakesScorecard): PatternStatementSlots {
   if (!scorecard || scorecard.resolved === 0) {
@@ -247,7 +227,7 @@ class CalibrationProfilePhase extends BaseCyclePhase {
     _ctx: OperationContext,
     opts: CalibrationProfileOpts,
   ): Promise<{ summary: string; details: Record<string, unknown>; status?: PhaseStatus }> {
-    const holder = await resolveCalibrationHolder(engine, opts.holder);
+    const holder = opts.holder ?? 'garry';
     const promptVersion = opts.promptVersion ?? CALIBRATION_PROFILE_PROMPT_VERSION;
     const modelId = opts.model ?? TIER_DEFAULTS.reasoning;
     const gradeCompletion = opts.gradeCompletion ?? 1.0;

src/core/embed-stale.ts

@@ -18,7 +18,7 @@
  */
 
 import type { BrainEngine } from './engine.ts';
-import type { ChunkInput } from './types.ts';
+import type { ChunkInput, ResolvedColumn } from './types.ts';
 import { embedBatchWithBackoff } from '../commands/embed.ts';
 import { type DbPacer, createNoopPacer, observed } from './db-pacer.ts';
 import { AbortError } from './abort-check.ts';
@@ -61,6 +61,13 @@ export interface EmbedStaleOpts {
    * Omit to keep the legacy `embedding IS NULL`-only behavior.
    */
   embeddingSignature?: string;
+  /**
+   * #1262: caller-resolved write-side embedding column. Threaded into BOTH
+   * listStaleChunks (staleness predicate) and upsertChunks (write target) so
+   * an alt-column brain converges instead of re-selecting embedded rows.
+   * Resolve at the boundary via `resolveWriteColumnForEngine()`.
+   */
+  embeddingColumn?: ResolvedColumn;
   /**
    * DB-contention pacer (paced-backfill). When enabled it (a) supplies the
    * worker count via the caller passing `concurrency = bundle.maxConcurrency`
@@ -156,6 +163,7 @@ export async function embedStaleForSource(
         afterPageId,
         afterChunkIndex,
         sourceId,
+        ...(opts.embeddingColumn && { embeddingColumn: opts.embeddingColumn }),
       }),
     );
     if (batch.length === 0) {
@@ -223,7 +231,10 @@ export async function embedStaleForSource(
           doc_comment: c.doc_comment ?? undefined,
           symbol_name_qualified: c.symbol_name_qualified ?? undefined,
         }));
-        await observed(pacer, () => engine.upsertChunks(slug, merged, { sourceId: keySourceId }));
+        await observed(pacer, () => engine.upsertChunks(slug, merged, {
+          sourceId: keySourceId,
+          ...(opts.embeddingColumn && { embeddingColumn: opts.embeddingColumn }),
+        }));
         // v0.41.31: stamp provenance only when EVERY chunk was stale (fully
         // re-embedded this pass) — a partially-stale page keeps preserved
         // chunks of unknown provenance, so don't claim current. After the

src/core/engine.ts

@@ -12,6 +12,7 @@ import type {
   BrainStats, BrainHealth,
   IngestLogEntry, IngestLogInput,
   EngineConfig,
+  ResolvedColumn,
   CodeEdgeInput, CodeEdgeResult,
   EvalCandidate, EvalCandidateInput,
   EvalCaptureFailure, EvalCaptureFailureReason,
@@ -987,8 +988,13 @@ export interface BrainEngine {
    * — Postgres rolls back automatically on conn drop, so commit-ambiguous
    * failure replays to the same end state. Callers MUST NOT wrap externally;
    * see {@link BatchOpts} retry-contract block.
+   *
+   * `opts.embeddingColumn` (optional) selects the content_chunks column that
+   * receives TEXT embeddings (#1262). The caller resolves the descriptor at
+   * the import/embed boundary via `resolveWriteColumn()`; engines never read
+   * config or choose columns themselves. Omitted => legacy `embedding`.
    */
-  upsertChunks(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string } & BatchOpts): Promise<void>;
+  upsertChunks(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string; embeddingColumn?: ResolvedColumn } & BatchOpts): Promise<void>;
   /**
    * Read every chunk for a page. `opts.sourceId` source-scopes the page
    * lookup; without it, multi-source brains return chunks from every
@@ -1005,8 +1011,13 @@ export interface BrainEngine {
    * counts across every source in the brain. Operators running
    * `gbrain embed --stale --source media-corpus` expect only that
    * source's NULLs touched; the caller threads `sourceId` here.
+   *
+   * `opts.embeddingColumn` switches the staleness predicate from the legacy
+   * `embedding` column to the resolved write-side column, so alt-column
+   * brains do not perpetually re-select rows whose target column is already
+   * populated (#1262). Must match the eventual upsertChunks target.
    */
-  countStaleChunks(opts?: { sourceId?: string; signature?: string }): Promise<number>;
+  countStaleChunks(opts?: { sourceId?: string; signature?: string; embeddingColumn?: ResolvedColumn }): Promise<number>;
   /**
    * Sum of LENGTH(chunk_text) over stale chunks — the character-count
    * backlog the embed phase / embed-backfill will process. Sibling of
@@ -1020,8 +1031,13 @@ export interface BrainEngine {
    * model signature (a model/dims swap). NULL signature is GRANDFATHERED
    * (never counted) so the post-migration corpus isn't flagged en masse.
    * Omit `signature` for the legacy `embedding IS NULL`-only count.
+   *
+   * `opts.embeddingColumn` switches the staleness predicate to the resolved
+   * write-side column (#1262) — same contract as countStaleChunks — so the
+   * sync cost gate doesn't count an alt-column brain's fully-embedded corpus
+   * as phantom backlog.
    */
-  sumStaleChunkChars(opts?: { sourceId?: string; signature?: string }): Promise<number>;
+  sumStaleChunkChars(opts?: { sourceId?: string; signature?: string; embeddingColumn?: ResolvedColumn }): Promise<number>;
   /**
    * Stamp `pages.embedding_signature = signature` for one page. Called after
    * a page's chunks are (re)embedded so a later model swap can detect it as
@@ -1069,6 +1085,9 @@ export interface BrainEngine {
     // both round-trip TIMESTAMPTZ as Date | string; ISO string is the
     // common denominator on the wire).
     afterUpdatedAt?: string | null;
+    // #1262: staleness predicate targets this column when set (must match
+    // countStaleChunks and the eventual upsertChunks write target).
+    embeddingColumn?: ResolvedColumn;
   }): Promise<StaleChunkRow[]>;
   /**
    * Delete every chunk for a page. Internal page-id lookup is sourceId-scoped

src/core/extract-timeline-from-meetings.ts

@@ -68,14 +68,11 @@ export async function extractTimelineFromMeetings(
   // 1. Fetch all meeting pages (one round-trip).
   const sourceFilter = opts.sourceIdFilter ? `AND source_id = $1` : '';
   const meetingParams = opts.sourceIdFilter ? [opts.sourceIdFilter] : [];
-  // #2109: gbrain-base-v2's unify-types catch-all retypes meeting pages to
-  // `note` with frontmatter.legacy_type = 'meeting'. Match both spellings so
-  // the extractor keeps working on migrated (v2) brains, not just v1 ones.
   const meetings = await engine.executeRaw<MeetingRow>(
     `SELECT slug, source_id, title, effective_date, updated_at,
             compiled_truth, COALESCE(timeline, '') AS timeline
        FROM pages
-      WHERE (type = 'meeting' OR frontmatter ->> 'legacy_type' = 'meeting')
+      WHERE type = 'meeting'
         AND deleted_at IS NULL
         ${sourceFilter}
       ORDER BY effective_date DESC NULLS LAST, slug`,
@@ -97,7 +94,7 @@ export async function extractTimelineFromMeetings(
        JOIN pages pf ON pf.id = l.from_page_id
        JOIN pages pt ON pt.id = l.to_page_id
       WHERE l.link_type = 'attended'
-        AND (pf.type = 'meeting' OR pf.frontmatter ->> 'legacy_type' = 'meeting')
+        AND pf.type = 'meeting'
         AND pf.deleted_at IS NULL
         AND pt.deleted_at IS NULL`,
   );

src/core/import-file.ts

@@ -10,7 +10,8 @@ import { findChunkForOffset } from './chunkers/edge-extractor.ts';
 import { extractCodeRefs, imageOfCandidates } from './link-extraction.ts';
 import { embedBatch, embedMultimodal, currentEmbeddingSignature } from './embedding.ts';
 import { slugifyPath, slugifyCodePath, isCodeFilePath } from './sync.ts';
-import type { ChunkInput, PageInput, PageType } from './types.ts';
+import type { ChunkInput, PageInput, PageType, ResolvedColumn } from './types.ts';
+import { resolveWriteColumnForEngine } from './search/embedding-column.ts';
 import { computeEffectiveDate } from './effective-date.ts';
 import { MARKDOWN_CHUNKER_VERSION } from './chunkers/recursive.ts';
 import { logSlugFallback } from './audit-slug-fallback.ts';
@@ -740,6 +741,14 @@ export async function importFromContent(
   // schema DEFAULT — required for multi-source brains; harmless ('default')
   // for single-source callers.
   const txOpts = sourceId ? { sourceId } : undefined;
+  // #1262: resolve the write-side embedding column once (merged config +
+  // gateway model) BEFORE the transaction; the descriptor rides only on
+  // upsertChunks so text embeddings land in the registered column.
+  const chunkWriteColumn = await resolveWriteColumnForEngine(engine);
+  const chunkOpts: { sourceId?: string; embeddingColumn?: ResolvedColumn } | undefined =
+    (sourceId || chunkWriteColumn)
+      ? { ...(sourceId && { sourceId }), ...(chunkWriteColumn && { embeddingColumn: chunkWriteColumn }) }
+      : undefined;
   await engine.transaction(async (tx) => {
     if (existing) await tx.createVersion(slug, txOpts);
 
@@ -824,7 +833,7 @@ export async function importFromContent(
     }
 
     if (chunks.length > 0) {
-      await tx.upsertChunks(slug, chunks, txOpts);
+      await tx.upsertChunks(slug, chunks, chunkOpts);
       // v0.41.31: stamp embedding provenance when this import actually
       // embedded (not --no-embed), so a later model/dims swap is detectable
       // as stale via embed --stale. The deferred/backfill + per-slug embed
@@ -1064,6 +1073,12 @@ export async function importCodeFile(
   const title = `${relativePath} (${lang})`;
   const sourceId = opts.sourceId;
   const txOpts = sourceId ? { sourceId } : undefined;
+  // #1262: write-side embedding column descriptor (rides only on upsertChunks).
+  const chunkWriteColumn = await resolveWriteColumnForEngine(engine);
+  const chunkOpts: { sourceId?: string; embeddingColumn?: ResolvedColumn } | undefined =
+    (sourceId || chunkWriteColumn)
+      ? { ...(sourceId && { sourceId }), ...(chunkWriteColumn && { embeddingColumn: chunkWriteColumn }) }
+      : undefined;
 
   const byteLength = Buffer.byteLength(content, 'utf-8');
   if (byteLength > MAX_FILE_SIZE) {
@@ -1183,7 +1198,7 @@ export async function importCodeFile(
     await tx.addTag(slug, lang, txOpts);
 
     if (chunks.length > 0) {
-      await tx.upsertChunks(slug, chunks, txOpts);
+      await tx.upsertChunks(slug, chunks, chunkOpts);
       // v0.41.31: stamp embedding provenance ONLY when every chunk was
       // freshly embedded with the current model this call (no reuse-by-hash
       // carrying old-model vectors). Mixed pages stay unstamped rather than
@@ -1332,6 +1347,12 @@ export async function withImportTransaction(
 ): Promise<void> {
   const sourceId = spec.sourceId ?? 'default';
   const txOpts = spec.sourceId ? { sourceId: spec.sourceId } : undefined;
+  // #1262: write-side embedding column descriptor (rides only on upsertChunks).
+  const chunkWriteColumn = await resolveWriteColumnForEngine(engine);
+  const chunkOpts: { sourceId?: string; embeddingColumn?: ResolvedColumn } | undefined =
+    (spec.sourceId || chunkWriteColumn)
+      ? { ...(spec.sourceId && { sourceId: spec.sourceId }), ...(chunkWriteColumn && { embeddingColumn: chunkWriteColumn }) }
+      : undefined;
   await engine.transaction(async (tx) => {
     if (spec.hadExisting) await tx.createVersion(spec.slug, txOpts);
     await tx.putPage(spec.slug, spec.page, txOpts);
@@ -1347,7 +1368,7 @@ export async function withImportTransaction(
     }
     if (spec.chunks !== undefined) {
       if (spec.chunks.length > 0) {
-        await tx.upsertChunks(spec.slug, spec.chunks, txOpts);
+        await tx.upsertChunks(spec.slug, spec.chunks, chunkOpts);
       } else {
         await tx.deleteChunks(spec.slug, txOpts);
       }

src/core/minions/handlers/embed-backfill.ts

@@ -35,6 +35,7 @@ import { tryAcquireDbLock } from '../../db-lock.ts';
 import { BudgetTracker, BudgetExhausted } from '../../budget/budget-tracker.ts';
 import { withBudgetTracker } from '../../ai/gateway.ts';
 import { embedStaleForSource } from '../../embed-stale.ts';
+import { resolveWriteColumnForEngine } from '../../search/embedding-column.ts';
 import { currentEmbeddingSignature } from '../../embedding.ts';
 import { type DbPacer, createDbPacer, createNoopPacer } from '../../db-pacer.ts';
 import { resolvePaceMode, loadPaceModeConfig, readPaceEnv } from '../../pace-mode.ts';
@@ -164,12 +165,16 @@ export function makeEmbedBackfillHandler(engine: BrainEngine) {
     // the supervisor, so pacing it is the headline win.
     const { pacer, concurrency } = await resolveBackfillPacer(engine, job.data);
 
+    // #1262: resolve the write-side embedding column once at the job boundary.
+    const embeddingColumn = await resolveWriteColumnForEngine(engine);
+
     try {
       const result = await withBudgetTracker(tracker, async () =>
         embedStaleForSource(engine, sourceId, {
           batchSize,
           signal: job.signal,
           pacer,
+          ...(embeddingColumn && { embeddingColumn }),
           ...(concurrency !== undefined && { concurrency }),
           // v0.41.31: re-embed pages whose model signature drifted + stamp
           // provenance as chunks land.

src/core/operations.ts

@@ -4562,10 +4562,7 @@ const list_schema_packs: Operation = {
     const { existsSync, readdirSync } = await import('node:fs');
     const { join } = await import('node:path');
     const { gbrainPath } = await import('./config.ts');
-    // #1726: derive from the locator's registry instead of a hand-copied
-    // subset (which had frozen at 2 of 7 bundled packs).
-    const { BUNDLED_PACKS } = await import('./schema-pack/load-active.ts');
-    const bundled = [...BUNDLED_PACKS];
+    const bundled = ['gbrain-base', 'gbrain-recommended'];
     const installedDir = gbrainPath('schema-packs');
     const installed: string[] = [];
     if (existsSync(installedDir)) {

src/core/pglite-engine.ts

@@ -40,6 +40,7 @@ import type {
   BrainStats, BrainHealth,
   IngestLogEntry, IngestLogInput,
   EngineConfig,
+  ResolvedColumn,
   EvalCandidate, EvalCandidateInput,
   EvalCaptureFailure, EvalCaptureFailureReason,
   SalienceOpts, SalienceResult, AnomaliesOpts, AnomalyResult,
@@ -2230,12 +2231,20 @@ export class PGLiteEngine implements BrainEngine {
   }
 
   // Chunks
-  async upsertChunks(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string } & BatchOpts): Promise<void> {
+  async upsertChunks(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string; embeddingColumn?: ResolvedColumn } & BatchOpts): Promise<void> {
     return this.batchRetry(opts?.auditSite ?? 'upsertChunks', opts?.signal, () => this._upsertChunksOnce(slug, chunks, opts), chunks.length);
   }
 
-  private async _upsertChunksOnce(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string }): Promise<void> {
+  private async _upsertChunksOnce(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string; embeddingColumn?: ResolvedColumn }): Promise<void> {
     const sourceId = opts?.sourceId ?? 'default';
+    // #1262: caller-resolved write target for TEXT embeddings. Descriptor
+    // names are identifier-validated + quoted by buildVectorCastFragment;
+    // omitted => legacy `embedding vector`. Mirrors postgres-engine.ts.
+    const targetFragment = opts?.embeddingColumn
+      ? buildVectorCastFragment(opts.embeddingColumn)
+      : undefined;
+    const targetCol = targetFragment?.col ?? 'embedding';
+    const embeddingCast = targetFragment?.castSql.replace('$1::', '') ?? 'vector';
 
     // Source-scope the page-id lookup so duplicate slugs in different sources
     // do not return multiple rows or target the wrong page.
@@ -2270,7 +2279,7 @@ export class PGLiteEngine implements BrainEngine {
     // list. Image chunks pass embedding=null + embedding_image=Float32Array
     // (1024-dim Voyage). Text/code chunks pass embedding=Float32Array +
     // embedding_image=null. Default modality='text' when omitted.
-    const cols = '(page_id, chunk_index, chunk_text, chunk_source, embedding, model, token_count, embedded_at, language, symbol_name, symbol_type, start_line, end_line, parent_symbol_path, doc_comment, symbol_name_qualified, modality, embedding_image)';
+    const cols = `(page_id, chunk_index, chunk_text, chunk_source, ${targetCol}, model, token_count, embedded_at, language, symbol_name, symbol_type, start_line, end_line, parent_symbol_path, doc_comment, symbol_name_qualified, modality, embedding_image)`;
     const rowParts: string[] = [];
     const params: unknown[] = [];
     let paramIdx = 1;
@@ -2288,7 +2297,7 @@ export class PGLiteEngine implements BrainEngine {
       const modality = chunk.modality ?? 'text';
 
       // Inline ::vector NULL literals to avoid a per-branch placeholder.
-      const embeddingPh = embeddingStr ? `$${paramIdx++}::vector` : 'NULL';
+      const embeddingPh = embeddingStr ? `$${paramIdx++}::${embeddingCast}` : 'NULL';
       const embeddedAtPh = embeddingStr ? 'now()' : 'NULL';
       const embeddingImagePh = embeddingImageStr ? `$${paramIdx++}::vector` : 'NULL';
 
@@ -2327,19 +2336,19 @@ export class PGLiteEngine implements BrainEngine {
        ON CONFLICT (page_id, chunk_index) DO UPDATE SET
          chunk_text = EXCLUDED.chunk_text,
          chunk_source = EXCLUDED.chunk_source,
-         embedding = CASE
-           WHEN EXCLUDED.chunk_text != content_chunks.chunk_text THEN EXCLUDED.embedding
-           WHEN content_chunks.embedding IS NULL THEN EXCLUDED.embedding
+         ${targetCol} = CASE
+           WHEN EXCLUDED.chunk_text != content_chunks.chunk_text THEN EXCLUDED.${targetCol}
+           WHEN content_chunks.${targetCol} IS NULL THEN EXCLUDED.${targetCol}
            WHEN EXCLUDED.embedded_at IS NOT NULL
                 AND (content_chunks.embedded_at IS NULL OR EXCLUDED.embedded_at > content_chunks.embedded_at)
-                THEN EXCLUDED.embedding
-           ELSE content_chunks.embedding
+                THEN EXCLUDED.${targetCol}
+           ELSE content_chunks.${targetCol}
          END,
          model = COALESCE(EXCLUDED.model, content_chunks.model),
          token_count = EXCLUDED.token_count,
          embedded_at = CASE
-           WHEN EXCLUDED.chunk_text != content_chunks.chunk_text AND EXCLUDED.embedding IS NULL THEN NULL
-           WHEN content_chunks.embedding IS NULL AND EXCLUDED.embedding IS NOT NULL THEN EXCLUDED.embedded_at
+           WHEN EXCLUDED.chunk_text != content_chunks.chunk_text AND EXCLUDED.${targetCol} IS NULL THEN NULL
+           WHEN content_chunks.${targetCol} IS NULL AND EXCLUDED.${targetCol} IS NOT NULL THEN EXCLUDED.embedded_at
            WHEN EXCLUDED.embedded_at IS NOT NULL
                 AND (content_chunks.embedded_at IS NULL OR EXCLUDED.embedded_at > content_chunks.embedded_at)
                 THEN EXCLUDED.embedded_at
@@ -2377,14 +2386,19 @@ export class PGLiteEngine implements BrainEngine {
    * drift (NULL grandfathered → never stale). Shared by countStaleChunks +
    * sumStaleChunkChars so they can't drift.
    */
-  private buildStaleChunkWhere(opts?: { sourceId?: string; signature?: string }): { where: string; params: unknown[] } {
+  private buildStaleChunkWhere(opts?: { sourceId?: string; signature?: string; embeddingColumn?: ResolvedColumn }): { where: string; params: unknown[] } {
+    // #1262: staleness targets the caller-resolved write column when set
+    // (identifier-validated + quoted); legacy `embedding` otherwise.
+    const staleCol = opts?.embeddingColumn
+      ? buildVectorCastFragment(opts.embeddingColumn).col
+      : 'embedding';
     const params: unknown[] = [];
     const conds: string[] = [];
     if (opts?.signature !== undefined) {
       params.push(opts.signature);
-      conds.push(`(cc.embedding IS NULL OR (p.embedding_signature IS NOT NULL AND p.embedding_signature <> $${params.length}))`);
+      conds.push(`(cc.${staleCol} IS NULL OR (p.embedding_signature IS NOT NULL AND p.embedding_signature <> $${params.length}))`);
     } else {
-      conds.push(`cc.embedding IS NULL`);
+      conds.push(`cc.${staleCol} IS NULL`);
     }
     conds.push(`NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')`);
     if (opts?.sourceId !== undefined) {
@@ -2394,7 +2408,7 @@ export class PGLiteEngine implements BrainEngine {
     return { where: conds.join(' AND '), params };
   }
 
-  async countStaleChunks(opts?: { sourceId?: string; signature?: string }): Promise<number> {
+  async countStaleChunks(opts?: { sourceId?: string; signature?: string; embeddingColumn?: ResolvedColumn }): Promise<number> {
     // D7: source-scoped count for `gbrain embed --stale --source X`. Always
     // JOIN pages so embed-skip + signature predicates apply. PGLite is
     // PostgreSQL 17.5 in WASM and supports the full JSONB operator set.
@@ -2410,7 +2424,7 @@ export class PGLiteEngine implements BrainEngine {
     return Number(count);
   }
 
-  async sumStaleChunkChars(opts?: { sourceId?: string; signature?: string }): Promise<number> {
+  async sumStaleChunkChars(opts?: { sourceId?: string; signature?: string; embeddingColumn?: ResolvedColumn }): Promise<number> {
     // Sibling of countStaleChunks: same stale predicate, summing chunk_text
     // length for the sync cost preview. ::bigint guards int4 overflow.
     const { where, params } = this.buildStaleChunkWhere(opts);
@@ -2463,11 +2477,17 @@ export class PGLiteEngine implements BrainEngine {
     sourceId?: string;
     orderBy?: 'page_id' | 'updated_desc';
     afterUpdatedAt?: string | null;
+    embeddingColumn?: ResolvedColumn;
   }): Promise<StaleChunkRow[]> {
     const limit = opts?.batchSize ?? 2000;
     const afterPid = opts?.afterPageId ?? 0;
     const afterIdx = opts?.afterChunkIndex ?? -1;
     const orderBy = opts?.orderBy ?? 'page_id';
+    // #1262: staleness follows the caller-resolved write column (validated +
+    // quoted identifier); legacy `embedding` otherwise.
+    const staleCol = opts?.embeddingColumn
+      ? buildVectorCastFragment(opts.embeddingColumn).col
+      : 'embedding';
 
     // v0.41.18.0 (A13, codex #9): --priority recent path. See postgres-engine
     // sibling for full rationale. Same composite cursor + ORDER BY.
@@ -2481,7 +2501,7 @@ export class PGLiteEngine implements BrainEngine {
                   p.updated_at
              FROM content_chunks cc
              JOIN pages p ON p.id = cc.page_id
-            WHERE cc.embedding IS NULL
+            WHERE cc.${staleCol} IS NULL
               AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
             ORDER BY p.updated_at DESC NULLS LAST, p.id ASC, cc.chunk_index ASC
             LIMIT $1`,
@@ -2492,7 +2512,7 @@ export class PGLiteEngine implements BrainEngine {
                   p.updated_at
              FROM content_chunks cc
              JOIN pages p ON p.id = cc.page_id
-            WHERE cc.embedding IS NULL
+            WHERE cc.${staleCol} IS NULL
               AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
               AND (
                 p.updated_at < $1::timestamptz
@@ -2511,7 +2531,7 @@ export class PGLiteEngine implements BrainEngine {
                 p.updated_at
            FROM content_chunks cc
            JOIN pages p ON p.id = cc.page_id
-          WHERE cc.embedding IS NULL
+          WHERE cc.${staleCol} IS NULL
             AND p.source_id = $1
             AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
           ORDER BY p.updated_at DESC NULLS LAST, p.id ASC, cc.chunk_index ASC
@@ -2523,7 +2543,7 @@ export class PGLiteEngine implements BrainEngine {
                 p.updated_at
            FROM content_chunks cc
            JOIN pages p ON p.id = cc.page_id
-          WHERE cc.embedding IS NULL
+          WHERE cc.${staleCol} IS NULL
             AND p.source_id = $1
             AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
             AND (
@@ -2548,7 +2568,7 @@ export class PGLiteEngine implements BrainEngine {
                 cc.model, cc.token_count, p.source_id, cc.page_id
            FROM content_chunks cc
            JOIN pages p ON p.id = cc.page_id
-          WHERE cc.embedding IS NULL
+          WHERE cc.${staleCol} IS NULL
             AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
             AND (cc.page_id, cc.chunk_index) > ($1, $2)
           ORDER BY cc.page_id, cc.chunk_index
@@ -2562,7 +2582,7 @@ export class PGLiteEngine implements BrainEngine {
               cc.model, cc.token_count, p.source_id, cc.page_id
          FROM content_chunks cc
          JOIN pages p ON p.id = cc.page_id
-        WHERE cc.embedding IS NULL
+        WHERE cc.${staleCol} IS NULL
           AND p.source_id = $1
           AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
           AND (cc.page_id, cc.chunk_index) > ($2, $3)

src/core/postgres-engine.ts

@@ -50,6 +50,7 @@ import type {
   BrainStats, BrainHealth,
   IngestLogEntry, IngestLogInput,
   EngineConfig,
+  ResolvedColumn,
   EvalCandidate, EvalCandidateInput,
   EvalCaptureFailure, EvalCaptureFailureReason,
   SalienceOpts, SalienceResult, AnomaliesOpts, AnomalyResult,
@@ -2380,13 +2381,21 @@ export class PostgresEngine implements BrainEngine {
   }
 
   // Chunks
-  async upsertChunks(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string } & BatchOpts): Promise<void> {
+  async upsertChunks(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string; embeddingColumn?: ResolvedColumn } & BatchOpts): Promise<void> {
     return this.batchRetry(opts?.auditSite ?? 'upsertChunks', opts?.signal, () => this._upsertChunksOnce(slug, chunks, opts), chunks.length);
   }
 
-  private async _upsertChunksOnce(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string }): Promise<void> {
+  private async _upsertChunksOnce(slug: string, chunks: ChunkInput[], opts?: { sourceId?: string; embeddingColumn?: ResolvedColumn }): Promise<void> {
     const sql = this.sql;
     const sourceId = opts?.sourceId ?? 'default';
+    // #1262: caller-resolved write target for TEXT embeddings. Descriptor
+    // names are identifier-validated + quoted by buildVectorCastFragment;
+    // omitted => legacy `embedding vector`.
+    const targetFragment = opts?.embeddingColumn
+      ? buildVectorCastFragment(opts.embeddingColumn)
+      : undefined;
+    const targetCol = targetFragment?.col ?? 'embedding';
+    const embeddingCast = targetFragment?.castSql.replace('$1::', '') ?? 'vector';
 
     // Source-scope the page-id lookup. Without this filter, multi-source
     // brains where the slug exists in 2+ sources return >1 row and the
@@ -2413,7 +2422,7 @@ export class PostgresEngine implements BrainEngine {
     // scope metadata through upserts.
     // v0.27.1 (Phase 8): added `modality` + `embedding_image` to the column
     // list. Image chunks pass embedding=null + embedding_image=Float32Array.
-    const cols = '(page_id, chunk_index, chunk_text, chunk_source, embedding, model, token_count, embedded_at, language, symbol_name, symbol_type, start_line, end_line, parent_symbol_path, doc_comment, symbol_name_qualified, modality, embedding_image)';
+    const cols = `(page_id, chunk_index, chunk_text, chunk_source, ${targetCol}, model, token_count, embedded_at, language, symbol_name, symbol_type, start_line, end_line, parent_symbol_path, doc_comment, symbol_name_qualified, modality, embedding_image)`;
     const rows: string[] = [];
     const params: unknown[] = [];
     let paramIdx = 1;
@@ -2430,7 +2439,7 @@ export class PostgresEngine implements BrainEngine {
         : null;
       const modality = chunk.modality ?? 'text';
 
-      const embeddingPh = embeddingStr ? `$${paramIdx++}::vector` : 'NULL';
+      const embeddingPh = embeddingStr ? `$${paramIdx++}::${embeddingCast}` : 'NULL';
       const embeddedAtPh = embeddingStr ? 'now()' : 'NULL';
       const embeddingImagePh = embeddingImageStr ? `$${paramIdx++}::vector` : 'NULL';
 
@@ -2478,19 +2487,19 @@ export class PostgresEngine implements BrainEngine {
        ON CONFLICT (page_id, chunk_index) DO UPDATE SET
          chunk_text = EXCLUDED.chunk_text,
          chunk_source = EXCLUDED.chunk_source,
-         embedding = CASE
-           WHEN EXCLUDED.chunk_text != content_chunks.chunk_text THEN EXCLUDED.embedding
-           WHEN content_chunks.embedding IS NULL THEN EXCLUDED.embedding
+         ${targetCol} = CASE
+           WHEN EXCLUDED.chunk_text != content_chunks.chunk_text THEN EXCLUDED.${targetCol}
+           WHEN content_chunks.${targetCol} IS NULL THEN EXCLUDED.${targetCol}
            WHEN EXCLUDED.embedded_at IS NOT NULL
                 AND (content_chunks.embedded_at IS NULL OR EXCLUDED.embedded_at > content_chunks.embedded_at)
-                THEN EXCLUDED.embedding
-           ELSE content_chunks.embedding
+                THEN EXCLUDED.${targetCol}
+           ELSE content_chunks.${targetCol}
          END,
          model = COALESCE(EXCLUDED.model, content_chunks.model),
          token_count = EXCLUDED.token_count,
          embedded_at = CASE
-           WHEN EXCLUDED.chunk_text != content_chunks.chunk_text AND EXCLUDED.embedding IS NULL THEN NULL
-           WHEN content_chunks.embedding IS NULL AND EXCLUDED.embedding IS NOT NULL THEN EXCLUDED.embedded_at
+           WHEN EXCLUDED.chunk_text != content_chunks.chunk_text AND EXCLUDED.${targetCol} IS NULL THEN NULL
+           WHEN content_chunks.${targetCol} IS NULL AND EXCLUDED.${targetCol} IS NOT NULL THEN EXCLUDED.embedded_at
            WHEN EXCLUDED.embedded_at IS NOT NULL
                 AND (content_chunks.embedded_at IS NULL OR EXCLUDED.embedded_at > content_chunks.embedded_at)
                 THEN EXCLUDED.embedded_at
@@ -2530,14 +2539,19 @@ export class PostgresEngine implements BrainEngine {
    * embedding_signature drift (NULL grandfathered). Shared by
    * countStaleChunks + sumStaleChunkChars (parity with the PGLite sibling).
    */
-  private buildStaleChunkWhere(opts?: { sourceId?: string; signature?: string }): { where: string; params: unknown[] } {
+  private buildStaleChunkWhere(opts?: { sourceId?: string; signature?: string; embeddingColumn?: ResolvedColumn }): { where: string; params: unknown[] } {
+    // #1262: staleness targets the caller-resolved write column when set
+    // (identifier-validated + quoted); legacy `embedding` otherwise.
+    const staleCol = opts?.embeddingColumn
+      ? buildVectorCastFragment(opts.embeddingColumn).col
+      : 'embedding';
     const params: unknown[] = [];
     const conds: string[] = [];
     if (opts?.signature !== undefined) {
       params.push(opts.signature);
-      conds.push(`(cc.embedding IS NULL OR (p.embedding_signature IS NOT NULL AND p.embedding_signature <> $${params.length}))`);
+      conds.push(`(cc.${staleCol} IS NULL OR (p.embedding_signature IS NOT NULL AND p.embedding_signature <> $${params.length}))`);
     } else {
-      conds.push(`cc.embedding IS NULL`);
+      conds.push(`cc.${staleCol} IS NULL`);
     }
     conds.push(`NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')`);
     if (opts?.sourceId !== undefined) {
@@ -2547,7 +2561,7 @@ export class PostgresEngine implements BrainEngine {
     return { where: conds.join(' AND '), params };
   }
 
-  async countStaleChunks(opts?: { sourceId?: string; signature?: string }): Promise<number> {
+  async countStaleChunks(opts?: { sourceId?: string; signature?: string; embeddingColumn?: ResolvedColumn }): Promise<number> {
     // Always JOIN pages so the embed_skip + signature predicates apply.
     // D7: source_id scoping. v0.41.31: optional signature widens staleness
     // to embedding_signature drift (NULL grandfathered).
@@ -2565,7 +2579,7 @@ export class PostgresEngine implements BrainEngine {
     });
   }
 
-  async sumStaleChunkChars(opts?: { sourceId?: string; signature?: string }): Promise<number> {
+  async sumStaleChunkChars(opts?: { sourceId?: string; signature?: string; embeddingColumn?: ResolvedColumn }): Promise<number> {
     // Sibling of countStaleChunks: same stale predicate, summing chunk_text
     // length for the sync cost preview. ::bigint guards int4 overflow.
     const { where, params } = this.buildStaleChunkWhere(opts);
@@ -2618,11 +2632,18 @@ export class PostgresEngine implements BrainEngine {
     sourceId?: string;
     orderBy?: 'page_id' | 'updated_desc';
     afterUpdatedAt?: string | null;
+    embeddingColumn?: ResolvedColumn;
   }): Promise<StaleChunkRow[]> {
     const limit = opts?.batchSize ?? 2000;
     const afterPid = opts?.afterPageId ?? 0;
     const afterIdx = opts?.afterChunkIndex ?? -1;
     const orderBy = opts?.orderBy ?? 'page_id';
+    // #1262: staleness follows the caller-resolved write column (validated +
+    // quoted identifier); legacy `embedding` otherwise. Interpolated below as
+    // an unsafe FRAGMENT (identifiers can't be bound parameters).
+    const staleCol = opts?.embeddingColumn
+      ? buildVectorCastFragment(opts.embeddingColumn).col
+      : 'embedding';
 
     // RLS scope binding (opt-in via GBRAIN_RLS_SCOPE_BINDING).
     return await this.withScopedReadTransaction(undefined, opts?.sourceId, async (tx) => {
@@ -2639,7 +2660,7 @@ export class PostgresEngine implements BrainEngine {
                    p.updated_at
             FROM content_chunks cc
             JOIN pages p ON p.id = cc.page_id
-            WHERE cc.embedding IS NULL
+            WHERE ${tx.unsafe(`cc.${staleCol} IS NULL`)}
               AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
             ORDER BY p.updated_at DESC NULLS LAST, p.id ASC, cc.chunk_index ASC
             LIMIT ${limit}
@@ -2649,7 +2670,7 @@ export class PostgresEngine implements BrainEngine {
                    p.updated_at
             FROM content_chunks cc
             JOIN pages p ON p.id = cc.page_id
-            WHERE cc.embedding IS NULL
+            WHERE ${tx.unsafe(`cc.${staleCol} IS NULL`)}
               AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
               AND (
                 p.updated_at < ${afterUpdated}::timestamptz
@@ -2667,7 +2688,7 @@ export class PostgresEngine implements BrainEngine {
                  p.updated_at
           FROM content_chunks cc
           JOIN pages p ON p.id = cc.page_id
-          WHERE cc.embedding IS NULL
+          WHERE ${tx.unsafe(`cc.${staleCol} IS NULL`)}
             AND p.source_id = ${opts.sourceId}
             AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
           ORDER BY p.updated_at DESC NULLS LAST, p.id ASC, cc.chunk_index ASC
@@ -2678,7 +2699,7 @@ export class PostgresEngine implements BrainEngine {
                  p.updated_at
           FROM content_chunks cc
           JOIN pages p ON p.id = cc.page_id
-          WHERE cc.embedding IS NULL
+          WHERE ${tx.unsafe(`cc.${staleCol} IS NULL`)}
             AND p.source_id = ${opts.sourceId}
             AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
             AND (
@@ -2698,7 +2719,7 @@ export class PostgresEngine implements BrainEngine {
                  cc.model, cc.token_count, p.source_id, cc.page_id
           FROM content_chunks cc
           JOIN pages p ON p.id = cc.page_id
-          WHERE cc.embedding IS NULL
+          WHERE ${tx.unsafe(`cc.${staleCol} IS NULL`)}
             AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
             AND (cc.page_id, cc.chunk_index) > (${afterPid}, ${afterIdx})
           ORDER BY cc.page_id, cc.chunk_index
@@ -2711,7 +2732,7 @@ export class PostgresEngine implements BrainEngine {
                cc.model, cc.token_count, p.source_id, cc.page_id
         FROM content_chunks cc
         JOIN pages p ON p.id = cc.page_id
-        WHERE cc.embedding IS NULL
+        WHERE ${tx.unsafe(`cc.${staleCol} IS NULL`)}
           AND p.source_id = ${opts.sourceId}
           AND NOT (COALESCE(p.frontmatter, '{}'::jsonb) ? 'embed_skip')
           AND (cc.page_id, cc.chunk_index) > (${afterPid}, ${afterIdx})

src/core/schema-pack/base/gbrain-base-v2.yaml

@@ -41,12 +41,6 @@ migration_from:
   pack: gbrain-base
   version: "1.x"
 
-# #2117 — cycle-phase participation. `phases:` is additive and pack-gated;
-# without this key extract_atoms is silently off on v2 brains even though
-# onboard + doctor recommend it (v2 declares the `atom` type it writes).
-phases:
-  - extract_atoms
-
 page_types:
   - name: person
     primitive: entity
@@ -325,10 +319,6 @@ page_types:
     extractable: false
     expert_routing: false
 
-# #2117 — inference rules ported from gbrain-base v1 so extract-ner keeps
-# working on v2 brains (it hard-skips with pack_unavailable when no
-# link_type declares an inference.regex). Same ReDoS-guarded sketch
-# regexes v1 ships; production matchers in link-extraction.ts still apply.
 link_types:
   - name: partner_of
     inverse: partner_of
@@ -338,24 +328,14 @@ link_types:
   - name: discusses
   - name: founded
     inverse: founded_by
-    inference:
-      regex: \b(founded|founder of|co-?founded|started)\b
   - name: works_at
     inverse: employs
-    inference:
-      regex: \b(works? at|employed by|works? for|joined|hired by|ceo of|cto of|cmo of)\b
   - name: invested_in
     inverse: investor_of
-    inference:
-      regex: \b(invested in|backed|seeded|funded|wrote a check)\b
   - name: sourced_from
   - name: derived_from
   - name: supersedes
   - name: redirects_to
-  # NOTE: v1's `attended` inference is page_type-bound to `meeting`, which
-  # v2 does not declare (lint: link_types_undeclared_page_type). Meeting
-  # pages retyped by unify-types are matched via frontmatter.legacy_type
-  # in extract-timeline-from-meetings (#2109) instead.
   - name: attended
     inverse: attended_by
   - name: authored

src/core/schema-pack/load-active.ts

@@ -91,33 +91,29 @@ export function _resetPackLocatorForTests(): void {
  * Returns null when the pack is not found. Callers handle null by
  * throwing UnknownPackError with a paste-ready install hint.
  */
-// v0.39 T8 — bundled packs registry. gbrain-base + gbrain-recommended
-// ship in src/core/schema-pack/base/. Add a new entry here to bundle
-// additional canonical packs.
-//
-// v0.41 T4 — lens packs join the bundle: creator (atoms + concepts +
-// extract_atoms/synthesize_concepts phases), investor (theses + bet
-// resolution + 3 calibration domains), engineer (gstack-learnings bridge
-// + 3 calibration domains), everything (meta-pack stacking all three
-// via extends + borrow_from). Each ships as a real YAML at base/<name>.yaml.
-//
-// #1726: exported so reporting surfaces (list_schema_packs) derive from the
-// same list the locator resolves — no more hand-copied 2-of-7 subsets.
-export const BUNDLED_PACKS: ReadonlyArray<string> = [
-  'gbrain-base',
-  'gbrain-recommended',
-  'gbrain-creator',
-  'gbrain-investor',
-  'gbrain-engineer',
-  'gbrain-everything',
-  // v0.42 type-unification: 15-type canonical successor to gbrain-base.
-  // Ships as install default (Lane E T17) + via gbrain onboard pack
-  // upgrade flow (the unify-types Minion handler).
-  'gbrain-base-v2',
-];
-
 function defaultPackLocator(name: string): string | null {
-  if (BUNDLED_PACKS.includes(name)) {
+  // v0.39 T8 — bundled packs registry. gbrain-base + gbrain-recommended
+  // ship in src/core/schema-pack/base/. Add a new entry here to bundle
+  // additional canonical packs.
+  //
+  // v0.41 T4 — lens packs join the bundle: creator (atoms + concepts +
+  // extract_atoms/synthesize_concepts phases), investor (theses + bet
+  // resolution + 3 calibration domains), engineer (gstack-learnings bridge
+  // + 3 calibration domains), everything (meta-pack stacking all three
+  // via extends + borrow_from). Each ships as a real YAML at base/<name>.yaml.
+  const BUNDLED: ReadonlyArray<string> = [
+    'gbrain-base',
+    'gbrain-recommended',
+    'gbrain-creator',
+    'gbrain-investor',
+    'gbrain-engineer',
+    'gbrain-everything',
+    // v0.42 type-unification: 15-type canonical successor to gbrain-base.
+    // Ships as install default (Lane E T17) + via gbrain onboard pack
+    // upgrade flow (the unify-types Minion handler).
+    'gbrain-base-v2',
+  ];
+  if (BUNDLED.includes(name)) {
     // Resolve bundled YAML relative to this source file. Works in both
     // direct-bun execution and bun --compile binaries.
     const here = dirname(fileURLToPath(import.meta.url));

src/core/search/embedding-column.ts

@@ -443,6 +443,80 @@ export function resolveEmbeddingColumn(
   };
 }
 
+/**
+ * Resolves the WRITE-side embedding column for the currently configured
+ * embedding model (#1262). The read-side resolver above answers "which
+ * column does this query search?"; this one answers "which column should
+ * newly produced text embeddings land in?".
+ *
+ * Unlike read-side search, writes take no per-call column override. The
+ * import/embed boundary resolves once from merged config + gateway state
+ * and passes the descriptor into `engine.upsertChunks`; engines stay
+ * config-free (same contract as the read-side descriptor).
+ *
+ * Behavior:
+ *   - no user-declared `embedding_columns` => undefined (legacy brain,
+ *     writes keep targeting the default `embedding` column)
+ *   - a user-declared entry whose `provider` matches the current
+ *     embedding model => that entry's descriptor
+ *   - no provider match => undefined (fall back to legacy `embedding`)
+ *
+ * Only USER-declared entries are consulted — never the cfg-derived
+ * builtins. The `embedding_image` builtin's provider is the multimodal
+ * model; matching it here would misroute text embeddings into the image
+ * column. The no-match fallback is intentional: switching models before
+ * registering a matching column must not silently write vectors into an
+ * arbitrary column.
+ */
+export function resolveWriteColumn(cfg: GBrainConfig): ResolvedColumn | undefined {
+  const userColumns = cfg.embedding_columns;
+  if (
+    !userColumns ||
+    typeof userColumns !== 'object' ||
+    Array.isArray(userColumns) ||
+    Object.keys(userColumns).length === 0
+  ) {
+    return undefined;
+  }
+
+  // Same model-resolution chain as the registry builtin: cfg > gateway > default.
+  let gwModel: string | undefined;
+  try {
+    const gw = require('../ai/gateway.ts') as typeof import('../ai/gateway.ts');
+    gwModel = gw.getEmbeddingModel();
+  } catch {
+    // Gateway unconfigured — fall through to the canonical default.
+  }
+  const currentModel = cfg.embedding_model ?? gwModel ?? DEFAULT_EMBEDDING_MODEL;
+
+  for (const [name, entry] of Object.entries(userColumns)) {
+    if (!entry) continue;
+    validateColumnKey(name);
+    validateColumnConfig(name, entry);
+    if (entry.provider !== currentModel) continue;
+    return {
+      name,
+      type: entry.type,
+      dimensions: entry.dimensions,
+      embeddingModel: entry.provider,
+    };
+  }
+  return undefined;
+}
+
+/**
+ * Engine-boundary convenience: merged config (file/env + DB plane) →
+ * resolveWriteColumn. Dynamic import keeps config.ts out of this module's
+ * static graph (mirrors the gateway require above).
+ */
+export async function resolveWriteColumnForEngine(
+  engine: { getConfig(key: string): Promise<string | null | undefined> },
+): Promise<ResolvedColumn | undefined> {
+  const { loadConfigWithEngine } = await import('../config.ts');
+  const cfg = await loadConfigWithEngine(engine);
+  return cfg ? resolveWriteColumn(cfg) : undefined;
+}
+
 /**
  * True when the resolved column is the default `embedding` name.
  * Name-based check; does not compare embedding space.

test/calibration-profile.test.ts

@@ -32,7 +32,7 @@ interface CapturedSql {
   params: unknown[];
 }
 
-function buildMockEngine(opts: { scorecard: TakesScorecard; config?: Record<string, string> }): {
+function buildMockEngine(opts: { scorecard: TakesScorecard }): {
   engine: BrainEngine;
   captured: CapturedSql[];
 } {
@@ -42,9 +42,6 @@ function buildMockEngine(opts: { scorecard: TakesScorecard; config?: Record<stri
     async getScorecard() {
       return opts.scorecard;
     },
-    async getConfig(key: string) {
-      return opts.config?.[key] ?? null;
-    },
     async executeRaw<T>(sql: string, params?: unknown[]): Promise<T[]> {
       captured.push({ sql, params: params ?? [] });
       return [];
@@ -244,36 +241,6 @@ describe('runPhaseCalibrationProfile — phase integration', () => {
     expect(insert!.params[11]).toEqual(['over-confident-geography']); // active_bias_tags
   });
 
-  test('#1726: calibration.user_holder config drives the holder when no explicit opt', async () => {
-    const { engine, captured } = buildMockEngine({
-      scorecard: ENOUGH_RESOLVED_SCORECARD,
-      config: { 'calibration.user_holder': 'alice-example' },
-    });
-    await runPhaseCalibrationProfile(buildCtx(engine), {
-      patternsGenerator: async () => ['You call early-stage tactics well — 8 of 10 held up.'],
-      biasTagsGenerator: async () => [],
-      voiceGateJudge: passJudge,
-    });
-    const insert = captured.find(c => c.sql.includes('INSERT INTO calibration_profiles'));
-    expect(insert).toBeDefined();
-    expect(insert!.params[1]).toBe('alice-example'); // holder from config
-  });
-
-  test('#1726: explicit holder opt wins over calibration.user_holder config', async () => {
-    const { engine, captured } = buildMockEngine({
-      scorecard: ENOUGH_RESOLVED_SCORECARD,
-      config: { 'calibration.user_holder': 'alice-example' },
-    });
-    await runPhaseCalibrationProfile(buildCtx(engine), {
-      holder: 'charlie-example',
-      patternsGenerator: async () => ['You call early-stage tactics well — 8 of 10 held up.'],
-      biasTagsGenerator: async () => [],
-      voiceGateJudge: passJudge,
-    });
-    const insert = captured.find(c => c.sql.includes('INSERT INTO calibration_profiles'));
-    expect(insert!.params[1]).toBe('charlie-example');
-  });
-
   test('default model is a provider-prefixed id, persisted to model_id (#2451)', async () => {
     const { engine, captured } = buildMockEngine({ scorecard: ENOUGH_RESOLVED_SCORECARD });
     const patternsGenerator: PatternStatementsGenerator = async () => [

test/e2e/embedding-column-pglite.test.ts

@@ -241,3 +241,136 @@ describe('buildVectorCastFragment — engine SQL composer (D3)', () => {
     expect(castSql).toBe('$1::halfvec(2560)');
   });
 });
+
+describe('PGLite engine: upsertChunks write-side ResolvedColumn descriptor (#1262)', () => {
+  test('halfvec descriptor writes the text embedding to the alternate column, not legacy embedding', async () => {
+    await engine.putPage('docs/write-alt-pglite', {
+      type: 'concept',
+      title: 'Write alt column PGLite',
+      compiled_truth: 'PGLite write-side alternate embedding column test.',
+    });
+
+    const descriptor: ResolvedColumn = {
+      name: 'embedding_ze',
+      type: 'halfvec',
+      dimensions: 2560,
+      embeddingModel: 'zeroentropyai:zembed-1',
+    };
+    await engine.upsertChunks('docs/write-alt-pglite', [
+      {
+        chunk_index: 0,
+        chunk_text: 'PGLite write-side alternate embedding column test.',
+        chunk_source: 'compiled_truth',
+        embedding: new Float32Array(2560).fill(0.25),
+      },
+    ], { embeddingColumn: descriptor });
+
+    const rows = await engine.executeRaw<{
+      has_default: boolean;
+      has_ze: boolean;
+      has_embedded_at: boolean;
+    }>(
+      `SELECT embedding IS NOT NULL AS has_default,
+              embedding_ze IS NOT NULL AS has_ze,
+              embedded_at IS NOT NULL AS has_embedded_at
+         FROM content_chunks cc
+         JOIN pages p ON p.id = cc.page_id
+        WHERE p.slug = 'docs/write-alt-pglite'`,
+    );
+    expect(rows.length).toBe(1);
+    expect(rows[0].has_default).toBe(false);
+    expect(rows[0].has_ze).toBe(true);
+    expect(rows[0].has_embedded_at).toBe(true);
+  });
+
+  test('text-unchanged re-upsert without a vector preserves the alternate-column embedding', async () => {
+    const descriptor: ResolvedColumn = {
+      name: 'embedding_ze',
+      type: 'halfvec',
+      dimensions: 2560,
+      embeddingModel: 'zeroentropyai:zembed-1',
+    };
+    // Same chunk_text, no embedding: the ON CONFLICT CASE must keep the
+    // existing alternate-column vector (D24 semantics follow the column).
+    await engine.upsertChunks('docs/write-alt-pglite', [
+      {
+        chunk_index: 0,
+        chunk_text: 'PGLite write-side alternate embedding column test.',
+        chunk_source: 'compiled_truth',
+      },
+    ], { embeddingColumn: descriptor });
+    const rows = await engine.executeRaw<{ has_ze: boolean }>(
+      `SELECT embedding_ze IS NOT NULL AS has_ze
+         FROM content_chunks cc
+         JOIN pages p ON p.id = cc.page_id
+        WHERE p.slug = 'docs/write-alt-pglite'`,
+    );
+    expect(rows).toEqual([{ has_ze: true }]);
+  });
+});
+
+describe('PGLite: embed --stale converges on an alt-column brain (#1262)', () => {
+  test('boundary resolves the write column; stale scan does not re-select embedded rows', async () => {
+    const { runEmbedCore } = await import('../../src/commands/embed.ts');
+    const local = new PGLiteEngine();
+    const previousHome = process.env.GBRAIN_HOME;
+    process.env.GBRAIN_HOME = `/tmp/gbrain-write-col-stale-${Date.now()}`;
+    try {
+      await local.connect({});
+      await local.initSchema();
+      await (local as any).db.exec(
+        `ALTER TABLE content_chunks ADD COLUMN IF NOT EXISTS embedding_ze halfvec(2560)`,
+      );
+
+      const descriptor: ResolvedColumn = {
+        name: 'embedding_ze',
+        type: 'halfvec',
+        dimensions: 2560,
+        embeddingModel: 'zeroentropyai:zembed-1',
+      };
+      await local.setConfig('embedding_columns', JSON.stringify({
+        embedding_ze: { provider: 'zeroentropyai:zembed-1', dimensions: 2560, type: 'halfvec' },
+      }));
+      configureGateway({
+        embedding_model: 'zeroentropyai:zembed-1',
+        embedding_dimensions: 2560,
+        env: {},
+      });
+
+      await local.putPage('docs/stale-alt-pglite', {
+        type: 'concept',
+        title: 'Dynamic stale column',
+        compiled_truth: 'A chunk that is embedded only in the dynamic column.',
+      });
+      await local.upsertChunks('docs/stale-alt-pglite', [
+        {
+          chunk_index: 0,
+          chunk_text: 'A chunk that is embedded only in the dynamic column.',
+          chunk_source: 'compiled_truth',
+          embedding: new Float32Array(2560).fill(0.25),
+        },
+      ], { embeddingColumn: descriptor });
+
+      // Engine-level contrast: legacy predicate still sees the row as stale;
+      // the alt-column predicate does not.
+      expect(await local.countStaleChunks()).toBe(1);
+      expect(await local.countStaleChunks({ embeddingColumn: descriptor })).toBe(0);
+      // sumStaleChunkChars feeds the sync cost gate — same predicate contract.
+      expect(await local.sumStaleChunkChars()).toBeGreaterThan(0);
+      expect(await local.sumStaleChunkChars({ embeddingColumn: descriptor })).toBe(0);
+      expect(await local.listStaleChunks({ embeddingColumn: descriptor, batchSize: 100 })).toHaveLength(0);
+      expect(await local.listStaleChunks({ batchSize: 100 })).toHaveLength(1);
+
+      // Boundary-level: `embed --stale --dry-run` resolves the write column
+      // from merged config + gateway and reports NOTHING to embed. Without
+      // the fix this reports 1 (perpetual re-embed loop).
+      const result = await runEmbedCore(local, { stale: true, dryRun: true });
+      expect(result.would_embed).toBe(0);
+    } finally {
+      await local.disconnect();
+      if (previousHome === undefined) delete process.env.GBRAIN_HOME;
+      else process.env.GBRAIN_HOME = previousHome;
+      resetGateway();
+    }
+  });
+});

test/e2e/embedding-column-postgres.test.ts

@@ -224,4 +224,54 @@ if (!dbUrl) {
       await engine.executeRaw(`UPDATE content_chunks SET embedding_voyage = '${v}'::vector WHERE id = ${dogId}`);
     });
   });
+
+  describe('Postgres: upsertChunks write-side ResolvedColumn descriptor (#1262)', () => {
+    const descriptor: ResolvedColumn = {
+      name: 'embedding_ze',
+      type: 'halfvec',
+      dimensions: 2560,
+      embeddingModel: 'zeroentropyai:zembed-1',
+    };
+
+    test('halfvec descriptor writes the text embedding to the alternate column, not legacy embedding', async () => {
+      await engine.putPage('docs/write-alt-postgres', {
+        type: 'concept',
+        title: 'Write alt column Postgres',
+        compiled_truth: 'Postgres write-side alternate embedding column test.',
+      });
+      await engine.upsertChunks('docs/write-alt-postgres', [
+        {
+          chunk_index: 0,
+          chunk_text: 'Postgres write-side alternate embedding column test.',
+          chunk_source: 'compiled_truth',
+          embedding: new Float32Array(2560).fill(0.25),
+        },
+      ], { embeddingColumn: descriptor });
+
+      const rows = await engine.executeRaw<{
+        has_default: boolean;
+        has_ze: boolean;
+      }>(
+        `SELECT embedding IS NOT NULL AS has_default,
+                embedding_ze IS NOT NULL AS has_ze
+           FROM content_chunks cc
+           JOIN pages p ON p.id = cc.page_id
+          WHERE p.slug = 'docs/write-alt-postgres'`,
+      );
+      expect(rows.length).toBe(1);
+      expect(rows[0].has_default).toBe(false);
+      expect(rows[0].has_ze).toBe(true);
+    }, 30_000);
+
+    test('stale scan follows the write-side column (count + list parity with the write target)', async () => {
+      // Legacy predicate: cat/dog/write-alt rows all have embedding NULL.
+      expect(await engine.countStaleChunks()).toBeGreaterThan(0);
+      // Alt-column predicate: every chunk has embedding_ze populated.
+      expect(await engine.countStaleChunks({ embeddingColumn: descriptor })).toBe(0);
+      expect(await engine.listStaleChunks({ embeddingColumn: descriptor, batchSize: 100 })).toHaveLength(0);
+      expect((await engine.listStaleChunks({ batchSize: 100 })).length).toBeGreaterThan(0);
+      // updated_desc arm uses the same predicate.
+      expect(await engine.listStaleChunks({ embeddingColumn: descriptor, orderBy: 'updated_desc', batchSize: 100 })).toHaveLength(0);
+    }, 30_000);
+  });
 }

test/extract-timeline-legacy-type.test.ts

@@ -1,106 +0,0 @@
-// #2109 — gbrain-base-v2's unify-types retypes meeting pages to `note`
-// with frontmatter.legacy_type='meeting'. extract-timeline-from-meetings
-// used to hardcode type='meeting' and silently scan 0 meetings on migrated
-// brains. These tests fail without the legacy_type fallback in both SQL
-// sites (meeting walk + attended-edge join).
-
-import { afterAll, beforeAll, beforeEach, describe, expect, it } from 'bun:test';
-import { PGLiteEngine } from '../src/core/pglite-engine.ts';
-import { resetPgliteState } from './helpers/reset-pglite.ts';
-import { extractTimelineFromMeetings } from '../src/core/extract-timeline-from-meetings.ts';
-
-let engine: PGLiteEngine;
-
-beforeAll(async () => {
-  engine = new PGLiteEngine();
-  await engine.connect({});
-  await engine.initSchema();
-});
-
-afterAll(async () => {
-  await engine.disconnect();
-});
-
-beforeEach(async () => {
-  await resetPgliteState(engine);
-});
-
-async function insertPage(opts: {
-  slug: string;
-  type: string;
-  title: string;
-  effectiveDate?: string;
-  legacyType?: string;
-}): Promise<number> {
-  const frontmatterLiteral = opts.legacyType
-    ? `'{"legacy_type": "${opts.legacyType}"}'::jsonb`
-    : `'{}'::jsonb`;
-  const rows = await engine.executeRaw<{ id: number }>(
-    `INSERT INTO pages (slug, source_id, type, title, compiled_truth, timeline, effective_date, frontmatter)
-     VALUES ($1, 'default', $2, $3, '', '', $4, ${frontmatterLiteral})
-     RETURNING id`,
-    [opts.slug, opts.type, opts.title, opts.effectiveDate ?? null],
-  );
-  return rows[0]!.id;
-}
-
-describe('extractTimelineFromMeetings — legacy_type fallback (#2109)', () => {
-  it('scans pages retyped to note with legacy_type=meeting and walks their attended edges', async () => {
-    const meetingId = await insertPage({
-      slug: 'meetings/2026-01-05',
-      type: 'note', // post-unify-types shape on a gbrain-base-v2 brain
-      legacyType: 'meeting',
-      title: 'Weekly sync',
-      effectiveDate: '2026-01-05',
-    });
-    const personId = await insertPage({
-      slug: 'people/alice-example',
-      type: 'person',
-      title: 'Alice Example',
-    });
-    await engine.executeRaw(
-      `INSERT INTO links (from_page_id, to_page_id, link_type) VALUES ($1, $2, 'attended')`,
-      [meetingId, personId],
-    );
-
-    const result = await extractTimelineFromMeetings(engine);
-    expect(result.meetings_scanned).toBe(1);
-    expect(result.entries_created).toBe(1);
-    expect(result.entities_touched).toBe(1);
-    expect(result.batch_errors).toBe(0);
-  });
-
-  it('still scans pre-unify pages with type=meeting (v1 behavior preserved)', async () => {
-    const meetingId = await insertPage({
-      slug: 'meetings/2026-02-01',
-      type: 'meeting',
-      title: 'Board prep',
-      effectiveDate: '2026-02-01',
-    });
-    const personId = await insertPage({
-      slug: 'people/charlie-example',
-      type: 'person',
-      title: 'Charlie Example',
-    });
-    await engine.executeRaw(
-      `INSERT INTO links (from_page_id, to_page_id, link_type) VALUES ($1, $2, 'attended')`,
-      [meetingId, personId],
-    );
-
-    const result = await extractTimelineFromMeetings(engine);
-    expect(result.meetings_scanned).toBe(1);
-    expect(result.entries_created).toBe(1);
-  });
-
-  it('does not scan unrelated note pages without legacy_type=meeting', async () => {
-    await insertPage({
-      slug: 'notes/random',
-      type: 'note',
-      title: 'Random note',
-      effectiveDate: '2026-03-01',
-    });
-    const result = await extractTimelineFromMeetings(engine);
-    expect(result.meetings_scanned).toBe(0);
-    expect(result.entries_created).toBe(0);
-  });
-});

test/operations-schema-pack.test.ts

@@ -152,19 +152,6 @@ describe('list_schema_packs', () => {
       expect(result.installed).toContain('mine');
     });
   });
-
-  it('reports the full bundled registry, not a hand-copied subset (#1726)', async () => {
-    await withEnv({ GBRAIN_HOME: tmpDir }, async () => {
-      const { BUNDLED_PACKS } = await import('../src/core/schema-pack/load-active.ts');
-      const result = await operationsByName.list_schema_packs!.handler(ctxOf(), {}) as { bundled: string[] };
-      expect(result.bundled.slice().sort()).toEqual([...BUNDLED_PACKS].sort());
-      // The lens packs that declare extract_atoms/synthesize_concepts phases
-      // were the ones dropped by the frozen 2-pack literal.
-      for (const name of ['gbrain-creator', 'gbrain-everything', 'gbrain-base-v2']) {
-        expect(result.bundled).toContain(name);
-      }
-    });
-  });
 });
 
 // ── schema_stats ───────────────────────────────────────────────────────

test/schema-pack-base-v2-capabilities.test.ts

@@ -1,40 +0,0 @@
-// #2117 — gbrain-base-v2 shipped with no `phases:` declaration and zero
-// link_types[].inference regexes, so extract_atoms was silently pack-gated
-// off and extract-ner returned pack_unavailable on the bundled default pack.
-// These assertions fail against the pre-fix yaml.
-
-import { describe, expect, it } from 'bun:test';
-import { join } from 'node:path';
-import { loadPackFromFile } from '../src/core/schema-pack/loader.ts';
-import { linkTypesUndeclared } from '../src/core/schema-pack/lint-rules.ts';
-
-const V2_PATH = join(import.meta.dir, '..', 'src', 'core', 'schema-pack', 'base', 'gbrain-base-v2.yaml');
-
-describe('gbrain-base-v2 capability parity (#2117)', () => {
-  const manifest = loadPackFromFile(V2_PATH);
-
-  it('declares the extract_atoms cycle phase', () => {
-    expect(manifest.phases ?? []).toContain('extract_atoms');
-  });
-
-  it('ships at least one link_type inference regex so extract-ner is not pack_unavailable', () => {
-    // Mirrors the extract-ner hasRegex predicate exactly.
-    const hasRegex = manifest.link_types.some(
-      (lt) => lt.inference && typeof lt.inference === 'object' && 'regex' in lt.inference,
-    );
-    expect(hasRegex).toBe(true);
-  });
-
-  it('ports the v1 inference verbs it declares link types for', () => {
-    const withRegex = manifest.link_types
-      .filter((lt) => lt.inference?.regex)
-      .map((lt) => lt.name)
-      .sort();
-    expect(withRegex).toEqual(['founded', 'invested_in', 'works_at']);
-  });
-
-  it('inference rules pass the undeclared-page-type lint (no meeting-bound inference)', async () => {
-    const issues = await linkTypesUndeclared(manifest);
-    expect(issues).toEqual([]);
-  });
-});

test/search/embedding-column.serial.test.ts

@@ -13,9 +13,10 @@
  *     throw on unknown string.
  */
 
-import { describe, test, expect } from 'bun:test';
+import { describe, test, expect, afterAll, afterEach } from 'bun:test';
 import {
   resolveEmbeddingColumn,
+  resolveWriteColumn,
   getEmbeddingColumnRegistry,
   buildVectorCastFragment,
   quoteIdentifier,
@@ -34,6 +35,28 @@ import {
 } from '../../src/core/search/embedding-column.ts';
 import type { GBrainConfig } from '../../src/core/config.ts';
 import type { ResolvedColumn } from '../../src/core/types.ts';
+import { configureGateway, resetGateway } from '../../src/core/ai/gateway.ts';
+
+/**
+ * Teardown: reset AND re-apply the legacy preload config
+ * (test/helpers/legacy-embedding-preload.ts). A bare resetGateway() would
+ * leave the slot empty for the NEXT file's beforeAll (the preload's
+ * per-test beforeEach only fires before tests, not before beforeAll), which
+ * would make sibling PGLite fixtures initSchema at the 1280 default instead
+ * of the legacy 1536 their seed vectors assume.
+ */
+function restorePreloadGateway() {
+  resetGateway();
+  configureGateway({
+    embedding_model: 'openai:text-embedding-3-large',
+    embedding_dimensions: 1536,
+    env: { ...process.env },
+  });
+}
+
+afterAll(() => {
+  restorePreloadGateway();
+});
 
 function cfg(overrides: Partial<GBrainConfig> = {}): GBrainConfig {
   return { engine: 'pglite', ...overrides };
@@ -522,3 +545,89 @@ describe('codex /ship #4 — isCacheSafe (embedding-space-based skip)', () => {
     expect(isCacheSafe(r, cfg())).toBe(true);
   });
 });
+
+describe('resolveWriteColumn — write-side boundary resolution (#1262)', () => {
+  afterEach(() => {
+    restorePreloadGateway();
+  });
+
+  test('no registry / empty registry returns undefined (legacy single-column brain)', () => {
+    expect(resolveWriteColumn(cfg())).toBeUndefined();
+    expect(resolveWriteColumn(cfg({ embedding_columns: {} }))).toBeUndefined();
+  });
+
+  test('provider match via cfg.embedding_model returns the descriptor', () => {
+    const r = resolveWriteColumn(cfg({
+      embedding_model: 'voyage:voyage-3-large',
+      embedding_dimensions: 1024,
+      embedding_columns: {
+        embedding_voyage: { provider: 'voyage:voyage-3-large', dimensions: 1024, type: 'vector' },
+      },
+    }));
+    expect(r).toEqual({
+      name: 'embedding_voyage',
+      type: 'vector',
+      dimensions: 1024,
+      embeddingModel: 'voyage:voyage-3-large',
+    });
+  });
+
+  test('provider match via gateway state (cfg.embedding_model unset) returns descriptor', () => {
+    configureGateway({
+      embedding_model: 'zeroentropyai:zembed-1',
+      embedding_dimensions: 2560,
+      env: {},
+    });
+    const r = resolveWriteColumn(cfg({
+      embedding_columns: {
+        embedding_ze: { provider: 'zeroentropyai:zembed-1', dimensions: 2560, type: 'halfvec' },
+      },
+    }));
+    expect(r).toEqual({
+      name: 'embedding_ze',
+      type: 'halfvec',
+      dimensions: 2560,
+      embeddingModel: 'zeroentropyai:zembed-1',
+    });
+  });
+
+  test('no provider match returns undefined instead of guessing a column', () => {
+    configureGateway({
+      embedding_model: 'zeroentropyai:zembed-1',
+      embedding_dimensions: 2560,
+      env: {},
+    });
+    const r = resolveWriteColumn(cfg({
+      embedding_columns: {
+        embedding_voyage: { provider: 'voyage:voyage-3-large', dimensions: 1024, type: 'vector' },
+      },
+    }));
+    expect(r).toBeUndefined();
+  });
+
+  test('only USER-declared columns are consulted — multimodal builtin never captures text writes', () => {
+    // Current model equals the embedding_image BUILTIN's provider; a registry
+    // walk that consulted builtins would misroute text writes into the image
+    // column. resolveWriteColumn must return undefined here.
+    configureGateway({
+      embedding_model: 'voyage:voyage-multimodal-3',
+      embedding_dimensions: 1024,
+      env: {},
+    });
+    const r = resolveWriteColumn(cfg({
+      embedding_columns: {
+        embedding_other: { provider: 'openai:text-embedding-3-large', dimensions: 1536, type: 'vector' },
+      },
+    }));
+    expect(r).toBeUndefined();
+  });
+
+  test('malformed registry entry throws loud (same validation as the read side)', () => {
+    expect(() => resolveWriteColumn(cfg({
+      embedding_model: 'voyage:voyage-3-large',
+      embedding_columns: {
+        'bad"col': { provider: 'voyage:voyage-3-large', dimensions: 1024, type: 'vector' },
+      } as never,
+    }))).toThrow(EmbeddingColumnConfigError);
+  });
+});