test(calibration): replace real-name holder fixture with charlie-example placeholder

Privacy iron rule: no real people's names in checked-in code. The sanctioned
placeholder mapping uses people/charlie-example.

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

docs/architecture/KEY_FILES.md

@@ -457,6 +457,7 @@ unresolvable+true|false, pre-v80 NULL/NULL rows survive).
 - `src/core/think/prompt.ts` extension — anti-bias rewrite. `withCalibration` option on `buildThinkSystemPrompt` adds anti-bias rules. `buildCalibrationBlock()` emits the `<calibration>` XML. `buildThinkUserMessage` has TWO shapes: default (question first), and with-calibration (retrieval → calibration → question) when opt-in. Wired into `runThink` via `opts.withCalibration` + `opts.calibrationHolder`.
 - `src/commands/calibration.ts` — CLI: `gbrain calibration` (read + print), `--regenerate`, `--undo-wave <ver>`, `ab-report`. MCP op `get_calibration_profile` (scope: read) backs the same data path. Source-scoped via `sourceScopeOpts(ctx)`.
 - `src/commands/serve-http.ts` extension — three admin routes: `/admin/api/calibration/profile`, `/admin/api/calibration/charts/:type` (image/svg+xml; type in {brier-trend, domain-bars, pattern-statements, abandoned-threads}), `/admin/api/calibration/pattern/:id` (drill-down).
+- `src/core/owner-holder.ts` — single source of truth for "the brain owner" holder string. `DEFAULT_OWNER_HOLDER = 'self'` (matches the consolidate facts→takes writer + `docs/takes-vs-facts.md`); `resolveOwnerHolder({override, configValue})` returns override > `emotional_weight.user_holder` config > `'self'`. Consumed by the calibration_profile cycle phase, `gbrain calibration` CLI, the `get_calibration_profile` op, `think`'s calibration block, `emotional-weight`'s `DEFAULT_USER_HOLDER`, and doctor's `calibration_freshness`. Pure; unit-tested in `test/owner-holder.test.ts`. Does NOT unify owner-identity fragmentation (`self`/`brain`/`people-<owner>`) — tracked separately.
 - `src/commands/takes.ts` extension — `gbrain takes revisit <slug>` opens $EDITOR on the source page with a `<!-- gbrain:revisit -->` cursor marker.
 - `src/commands/doctor.ts` extension — 4 checks: `abandoned_threads`, `calibration_freshness`, `grade_confidence_drift` (mitigation surface; math ships later), `voice_gate_health`.
 - `admin/src/pages/Calibration.tsx` — Calibration tab. Single-column layout. `<TrustedSVG>` wrapper handles `dangerouslySetInnerHTML` for the server-rendered SVG.

docs/takes-vs-facts.md

@@ -91,3 +91,18 @@ First full takes extraction run on a ~100K-page brain:
 4. **Self-reported ≠ verified.** "Reports 7 figures" → holder=person, weight=0.75, NOT world/1.0
 5. **No false precision.** Use 0.05 increments (0.35, 0.55, 0.75), not 0.74 or 0.82
 6. **"So what" test.** Skip Twitter handles, follower counts, obvious metadata
+
+## Owner-holder canonicalization
+
+"The brain owner" is, by convention, the holder string **`self`** — the value the
+dream `consolidate` phase stamps when it promotes the owner's hot facts into cold
+takes. Calibration, `think`, and the `doctor` calibration check resolve the owner
+holder through `resolveOwnerHolder` (`src/core/owner-holder.ts`): explicit override
+> `emotional_weight.user_holder` config > `self`.
+
+Known limitation (tracked in garrytan/gbrain#2465): the owner can also
+appear under `brain` (a take the owner asserts, via `propose_takes`) and
+`people/<owner>` (extraction that names the owner). The resolver selects the
+*default* canonical owner string for reads; it does not merge those other
+strings. Per-take attribution for other people (e.g. `people/george`) is
+unaffected and correct.

src/commands/calibration.ts

@@ -23,6 +23,7 @@ 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';
+import { resolveOwnerHolder } from '../core/owner-holder.ts';
 
 export interface CalibrationProfileRow {
   /** BIGSERIAL → string (postgres.js int8 wire shape; never Number() — int8
@@ -167,7 +168,10 @@ export async function runCalibration(
   config: GBrainConfig,
 ): Promise<void> {
   const { opts } = parseArgs(args);
-  const holder = opts.holder ?? 'garry';
+  const holder = resolveOwnerHolder({
+    override: opts.holder,
+    configValue: await engine.getConfig('emotional_weight.user_holder'),
+  });
   // 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).
@@ -253,12 +257,15 @@ export async function getCalibrationProfileOp(
   ctx: OperationContext,
   params: { holder?: string },
 ): Promise<CalibrationProfileRow | null> {
-  const holder = params.holder ?? 'garry';
+  const holder = resolveOwnerHolder({
+    override: params.holder,
+    configValue: await ctx.engine.getConfig('emotional_weight.user_holder'),
+  });
   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 "garry"',
+      'pass holder="<slug>" or omit to default to the owner holder (config emotional_weight.user_holder, else "self")',
     );
   }
   const scope = sourceScopeOpts(ctx);

src/commands/doctor.ts

@@ -28,6 +28,7 @@ import type { DbUrlSource } from '../core/config.ts';
 import { gbrainPath, loadConfig } from '../core/config.ts';
 import { reflexEnabled } from '../core/context/reflex.ts';
 import { resolveSocketPath } from '../core/context/resolve-ipc.ts';
+import { resolveOwnerHolder } from '../core/owner-holder.ts';
 import { homedir } from 'os';
 import { dirname, isAbsolute, join, resolve as resolvePath } from 'path';
 import { fileURLToPath } from 'url';
@@ -1287,14 +1288,19 @@ export async function checkAbandonedThreads(engine: BrainEngine): Promise<Check>
 
 /**
  * calibration_freshness: warns when the active calibration profile is
- * older than 7 days (configurable). Default holder 'garry'. Multi-source
+ * older than 7 days (configurable). Default holder resolves via resolveOwnerHolder
+ * (config emotional_weight.user_holder, else 'self'). Multi-source
  * brains see one row per source; this check uses the most recent across
  * all sources.
  */
 export async function checkCalibrationFreshness(engine: BrainEngine): Promise<Check> {
   try {
+    const ownerHolder = resolveOwnerHolder({
+      configValue: await engine.getConfig('emotional_weight.user_holder'),
+    });
     const rows = await engine.executeRaw<{ generated_at: Date | null }>(
-      `SELECT MAX(generated_at) AS generated_at FROM calibration_profiles WHERE holder = 'garry'`,
+      `SELECT MAX(generated_at) AS generated_at FROM calibration_profiles WHERE holder = $1`,
+      [ownerHolder],
     );
     const generated = rows[0]?.generated_at;
     if (!generated) {

src/commands/import.ts

@@ -170,14 +170,10 @@ export async function runImport(
   // v0.22.13 (PR #490 Q2): shared parseWorkers helper rejects bad input
   // (--workers 0, -3, "foo") with a loud error instead of silently falling
   // through to 1. Mirrors sync.ts's flag handling.
-  const { parseWorkers, autoConcurrency } = await import('../core/sync-concurrency.ts');
-  // #1207: undefined (no --workers flag) defers to autoConcurrency below —
-  // the shared sync/import policy (PGLite → 1, >100 files → 4) — instead of
-  // hardcoding serial. Large Postgres imports stop paying one embedding
-  // round-trip per file in sequence.
-  let workerCount: number | undefined;
+  const { parseWorkers } = await import('../core/sync-concurrency.ts');
+  let workerCount: number;
   try {
-    workerCount = parseWorkers(workersArg ?? undefined);
+    workerCount = parseWorkers(workersArg ?? undefined) ?? 1;
   } catch (e) {
     console.error(e instanceof Error ? e.message : String(e));
     process.exit(1);
@@ -256,9 +252,8 @@ export async function runImport(
   }
   const files = resumeFilter(allFiles, dir, completed);
 
-  // Determine actual worker count. Explicit --workers wins; otherwise the
-  // shared autoConcurrency policy decides from engine kind + file count.
-  const actualWorkers = autoConcurrency(engine, files.length, workerCount);
+  // Determine actual worker count
+  const actualWorkers = workerCount > 1 ? workerCount : 1;
   if (actualWorkers > 1) {
     console.log(`Using ${actualWorkers} parallel workers`);
   }

src/commands/serve-http.ts

@@ -45,6 +45,7 @@ import {
   type IngestionContentType,
   type IngestionEvent,
 } from '../core/ingestion/types.ts';
+import { resolveOwnerHolder } from '../core/owner-holder.ts';
 
 /**
  * /health endpoint timeout. 3s rather than 5s: Fly.io's default
@@ -1190,7 +1191,7 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
   app.get('/admin/api/calibration/pattern/:id', requireAdmin, async (req: Request, res: Response) => {
     try {
       const { getLatestProfile } = await import('./calibration.ts');
-      const holder = (req.query.holder as string) || 'garry';
+      const holder = resolveOwnerHolder({ override: (req.query.holder as string) || undefined, configValue: await engine.getConfig('emotional_weight.user_holder') });
       const profile = await getLatestProfile(engine, { holder });
       if (!profile) {
         res.status(404).json({ error: 'no_profile' });
@@ -1240,7 +1241,7 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
   app.get('/admin/api/calibration/profile', requireAdmin, async (req: Request, res: Response) => {
     try {
       const { getLatestProfile } = await import('./calibration.ts');
-      const holder = (req.query.holder as string) || 'garry';
+      const holder = resolveOwnerHolder({ override: (req.query.holder as string) || undefined, configValue: await engine.getConfig('emotional_weight.user_holder') });
       const profile = await getLatestProfile(engine, { holder });
       res.json(profile);
     } catch (err) {
@@ -1257,7 +1258,7 @@ export async function runServeHttp(engine: BrainEngine, options: ServeHttpOption
         renderAbandonedThreadsCard,
         renderPatternStatementsCard,
       } = await import('../core/calibration/svg-renderer.ts');
-      const holder = (req.query.holder as string) || 'garry';
+      const holder = resolveOwnerHolder({ override: (req.query.holder as string) || undefined, configValue: await engine.getConfig('emotional_weight.user_holder') });
       const type = req.params.type;
       const profile = await getLatestProfile(engine, { holder });
 

src/commands/takes.ts

@@ -29,6 +29,7 @@ import {
 } from '../core/takes-fence.ts';
 import { withPageLock } from '../core/page-lock.ts';
 import { resolveSourceId } from '../core/source-resolver.ts';
+import { resolveOwnerHolder } from '../core/owner-holder.ts';
 
 // --- Helpers ---
 
@@ -364,7 +365,7 @@ async function cmdResolve(engine: BrainEngine, args: string[], sourceId?: string
   // --evidence is the v0.30.0 alias for --source on the resolve subcommand
   // (semantic clarity: "what evidence resolved this bet?").
   const source = flagValue(args, '--evidence') ?? flagValue(args, '--source');
-  const resolvedBy = flagValue(args, '--by') ?? 'garry';
+  const resolvedBy = flagValue(args, '--by') ?? resolveOwnerHolder({ configValue: await engine.getConfig('emotional_weight.user_holder') });
   const dirArg = flagValue(args, '--dir');
 
   const pageId = await getPageId(engine, slug, sourceId);

src/core/ai/gateway.ts

@@ -1513,21 +1513,12 @@ export async function embed(texts: string[], opts?: EmbedOpts): Promise<Float32A
 
   const embedding = recipe.touchpoints?.embedding;
   const maxBatchTokens = embedding?.max_batch_tokens;
-  const maxBatchCount = embedding?.max_batch_count;
   const charsPerToken = embedding?.chars_per_token ?? DEFAULT_CHARS_PER_TOKEN;
 
-  // Pre-split is gated on max_batch_tokens / max_batch_count. Recipes with
-  // neither (e.g. OpenAI) ride the fast path: one embedMany call, no
-  // recursion safety net.
-  const batches = (maxBatchTokens || maxBatchCount)
-    ? splitByTokenBudget(
-        truncated,
-        maxBatchTokens
-          ? Math.floor(maxBatchTokens * effectiveSafetyFactor(recipe))
-          : Number.MAX_SAFE_INTEGER,
-        charsPerToken,
-        maxBatchCount,
-      )
+  // Pre-split is gated on max_batch_tokens. Recipes without it (e.g. OpenAI)
+  // ride the fast path: one embedMany call, no recursion safety net.
+  const batches = maxBatchTokens
+    ? splitByTokenBudget(truncated, Math.floor(maxBatchTokens * effectiveSafetyFactor(recipe)), charsPerToken)
     : [truncated];
 
   const allEmbeddings: Float32Array[] = [];
@@ -1577,9 +1568,6 @@ export async function embed(texts: string[], opts?: EmbedOpts): Promise<Float32A
  *   responsible for applying any safety-factor shrink before passing in.
  * @param charsPerToken - Provider-specific character density. Defaults to
  *   `DEFAULT_CHARS_PER_TOKEN` (4) when omitted, matching OpenAI tiktoken.
- * @param maxBatchCount - #1199: optional cap on INPUTS per sub-batch, for
- *   providers that reject batches by count (DashScope: 10). When omitted,
- *   only the token budget governs.
  *
  * @internal exported for tests; not part of the public gateway API.
  */
@@ -1587,17 +1575,15 @@ export function splitByTokenBudget(
   texts: string[],
   budgetTokens: number,
   charsPerToken: number = DEFAULT_CHARS_PER_TOKEN,
-  maxBatchCount?: number,
 ): string[][] {
   const ratio = charsPerToken > 0 ? charsPerToken : DEFAULT_CHARS_PER_TOKEN;
-  const maxCount = maxBatchCount !== undefined && maxBatchCount > 0 ? maxBatchCount : Infinity;
   const batches: string[][] = [];
   let current: string[] = [];
   let currentTokens = 0;
 
   for (const text of texts) {
     const estTokens = Math.ceil(text.length / ratio);
-    if (current.length > 0 && (currentTokens + estTokens > budgetTokens || current.length >= maxCount)) {
+    if (current.length > 0 && currentTokens + estTokens > budgetTokens) {
       batches.push(current);
       current = [];
       currentTokens = 0;
@@ -1623,11 +1609,7 @@ export function isTokenLimitError(err: unknown): boolean {
     /token.*limit.*exceeded/i.test(msg) ||
     // OpenAI embeddings: "Invalid 'input': maximum request size is 300000 tokens per request."
     /maximum request size.*tokens/i.test(msg) ||
-    /max.*tokens.*per.*request/i.test(msg) ||
-    // DashScope: "batch size is invalid, it should not be larger than 10." (#1199)
-    // Count-cap error, but recursive halving shrinks count too, so the same
-    // safety net converges.
-    /batch size is invalid/i.test(msg)
+    /max.*tokens.*per.*request/i.test(msg)
   );
 }
 

src/core/ai/recipes/dashscope.ts

@@ -31,10 +31,6 @@ export const dashscope: Recipe = {
       // path. Conservative declaration so the gateway pre-splits before
       // hitting whatever undocumented server-side limit exists.
       max_batch_tokens: 8192,
-      // #1199: DashScope hard-caps embeddings at 10 inputs per request
-      // ("batch size is invalid, it should not be larger than 10"). The
-      // token budget alone admits far more than 10 short chunks per batch.
-      max_batch_count: 10,
       // text-embedding-v3 mixes English + CJK heavily; the tokenizer is
       // closer to Voyage density than OpenAI tiktoken for CJK-dominant
       // content. Conservative chars_per_token=2 leaves headroom.

src/core/ai/recipes/google.ts

@@ -16,15 +16,6 @@ export const google: Recipe = {
       dims_options: [768, 1536, 3072],
       cost_per_1m_tokens_usd: 0.15,
       price_last_verified: '2026-04-20',
-      // #970: Gemini's documented limits are per-INPUT (2048 tokens,
-      // silently truncated beyond) and per-REQUEST count (batchEmbedContents
-      // caps at 100 inputs). There is no separate per-request token cap, so
-      // the token budget is derived: 100 inputs × 2048 tokens. The count cap
-      // binds first for typical chunk sizes. Do NOT copy the 2048 per-input
-      // limit into max_batch_tokens — that would over-split 50×.
-      max_batch_tokens: 204_800,
-      chars_per_token: 4,
-      max_batch_count: 100,
     },
     expansion: {
       models: ['gemini-2.0-flash', 'gemini-2.0-flash-lite'],

src/core/ai/recipes/index.ts

@@ -58,8 +58,5 @@ export function getRecipe(id: string): Recipe | undefined {
 }
 
 export function listRecipes(): Recipe[] {
-  // Read the map (not ALL) so there is one source of truth — getRecipe,
-  // model-resolver, and listRecipes all see the same registry, and tests
-  // can inject a synthetic recipe via RECIPES to exercise registry walks.
-  return [...RECIPES.values()];
+  return [...ALL];
 }

src/core/ai/types.ts

@@ -46,16 +46,6 @@ export interface EmbeddingTouchpoint {
    * Only consulted when `max_batch_tokens` is also set.
    */
   chars_per_token?: number;
-  /**
-   * #1199: maximum number of INPUTS per embedding request, for providers
-   * that hard-cap batch size by count rather than (or in addition to)
-   * tokens — DashScope text-embedding-v3 rejects batches > 10 with
-   * `InvalidParameter`, Gemini batchEmbedContents caps at 100 requests.
-   * When set, the gateway's pre-split flushes a sub-batch at this count
-   * even if the token budget still has room. Independent of
-   * `max_batch_tokens`; either alone triggers the pre-split.
-   */
-  max_batch_count?: number;
   /**
    * Budget-utilization ceiling in (0, 1]. The gateway pre-splits at
    * `safety_factor × max_batch_tokens` to leave headroom for tokenizer

src/core/brainstorm/orchestrator.ts

@@ -68,6 +68,7 @@ import {
   type BrainstormCheckpoint,
   type CheckpointCross,
 } from './checkpoint.ts';
+import { resolveOwnerHolder } from '../owner-holder.ts';
 
 export { BudgetExhausted };
 
@@ -139,7 +140,7 @@ export interface BrainstormOptions {
   modelOverride?: string;
   /** Skip the cost-preview TTY grace window. Required for non-interactive callers. */
   skipCostPreview?: boolean;
-  /** When set, force the user holder for calibration profile lookup. Falls back to config (`emotional_weight.user_holder`) then `'garry'`. */
+  /** When set, force the user holder for calibration profile lookup. Falls back to config (`emotional_weight.user_holder`) then `'self'`. */
   holderOverride?: string;
   /** Source scope. */
   sourceId?: string;
@@ -623,7 +624,7 @@ async function _runBrainstormInner(
   }
 
   // ---- Phase 3: calibration context (cold-start fallback) ----
-  const holder = opts.holderOverride ?? config.emotional_weight?.user_holder ?? 'garry';
+  const holder = resolveOwnerHolder({ override: opts.holderOverride, configValue: config.emotional_weight?.user_holder });
   const calibContext = await loadCalibrationContext(engine, {
     holder,
     sourceId: opts.sourceId,

src/core/calibration/think-ab.ts

@@ -25,7 +25,7 @@ import type { BrainEngine } from '../engine.ts';
 
 export interface ABRunInput {
   question: string;
-  /** Holder context for calibration. Default 'garry'. */
+  /** Holder context for calibration. Resolves via resolveOwnerHolder (config emotional_weight.user_holder, else 'self'). */
   holder?: string;
   /** Engine for DB write. */
   engine: BrainEngine;

src/core/cycle/calibration-profile.ts

@@ -26,6 +26,7 @@
  */
 
 import { BaseCyclePhase, type ScopedReadOpts, type BasePhaseOpts } from './base-phase.ts';
+import { resolveOwnerHolder } from '../owner-holder.ts';
 import { chat as gatewayChat } from '../ai/gateway.ts';
 import { TIER_DEFAULTS } from '../model-config.ts';
 import { gateVoice, type VoiceGateGenerator, type VoiceGateJudge } from '../calibration/voice-gate.ts';
@@ -96,7 +97,7 @@ export type PatternStatementsGenerator = (input: {
 export type BiasTagsGenerator = (patterns: string[]) => Promise<string[]>;
 
 export interface CalibrationProfileOpts extends BasePhaseOpts {
-  /** Holder to generate the profile for. Default 'garry'. */
+  /** Holder to generate the profile for. Default resolves via resolveOwnerHolder (config emotional_weight.user_holder, else 'self'). */
   holder?: string;
   /** Inject the patterns generator (tests). */
   patternsGenerator?: PatternStatementsGenerator;
@@ -227,7 +228,10 @@ class CalibrationProfilePhase extends BaseCyclePhase {
     _ctx: OperationContext,
     opts: CalibrationProfileOpts,
   ): Promise<{ summary: string; details: Record<string, unknown>; status?: PhaseStatus }> {
-    const holder = opts.holder ?? 'garry';
+    const holder = resolveOwnerHolder({
+      override: opts.holder,
+      configValue: await engine.getConfig('emotional_weight.user_holder'),
+    });
     const promptVersion = opts.promptVersion ?? CALIBRATION_PROFILE_PROMPT_VERSION;
     const modelId = opts.model ?? TIER_DEFAULTS.reasoning;
     const gradeCompletion = opts.gradeCompletion ?? 1.0;

src/core/cycle/emotional-weight.ts

@@ -14,6 +14,8 @@
  * See `loadHighEmotionTags` for the resolution path.
  */
 
+import { DEFAULT_OWNER_HOLDER } from '../owner-holder.ts';
+
 /**
  * Default high-emotion tag seed list. Pages with any tag in this set get the
  * tag-emotion boost in the formula below. Override via config key
@@ -43,11 +45,12 @@ export const HIGH_EMOTION_TAGS: ReadonlySet<string> = new Set([
 ]);
 
 /**
- * Holder name treated as "the user" for the Garry-as-holder ratio. Configurable
- * via the `emotional_weight.user_holder` config key (defaults to 'garry' to
- * match the v0.28 schema's takes table convention).
+ * Holder name treated as "the user" for the user-as-holder ratio. Configurable
+ * via the `emotional_weight.user_holder` config key; defaults to the canonical
+ * owner holder ('self', DEFAULT_OWNER_HOLDER) so it matches the consolidate
+ * facts→takes writer instead of a hardcoded name.
  */
-export const DEFAULT_USER_HOLDER = 'garry';
+export const DEFAULT_USER_HOLDER = DEFAULT_OWNER_HOLDER;
 
 export interface EmotionalWeightTake {
   holder: string;

src/core/embedding.ts

@@ -79,34 +79,15 @@ export interface EmbedBatchOptions {
    * and amplify rate-limit pressure.
    */
   maxRetries?: number;
-  /**
-   * #1818: bounded parallelism across BATCH_SIZE sub-batches. Defaults to
-   * `GBRAIN_EMBED_BATCH_CONCURRENCY` env, else 4. Results are
-   * index-addressed so output order always matches input order. Set 1 to
-   * force the pre-v0.42 serial dispatch.
-   */
-  concurrency?: number;
 }
 
 /**
  * Embed a batch of texts via the gateway. Sub-batches of 100 so upstream
  * progress callbacks fire incrementally on large imports. The gateway owns
  * adaptive batch splitting and per-recipe token-budget logic; this paginator
- * owns progress-callback granularity and (#1818) bounded parallel dispatch
- * of the sub-batches — the embed-stale.ts worker-pool pattern, scoped down.
+ * is purely about progress-callback granularity.
  */
 const BATCH_SIZE = 100;
-const DEFAULT_EMBED_BATCH_CONCURRENCY = 4;
-
-function resolveEmbedBatchConcurrency(options: EmbedBatchOptions): number {
-  if (options.concurrency !== undefined) {
-    return Math.max(1, Math.floor(options.concurrency));
-  }
-  const env = Number(process.env.GBRAIN_EMBED_BATCH_CONCURRENCY);
-  if (Number.isFinite(env) && env >= 1) return Math.floor(env);
-  return DEFAULT_EMBED_BATCH_CONCURRENCY;
-}
-
 export async function embedBatch(
   texts: string[],
   options: EmbedBatchOptions = {},
@@ -122,44 +103,13 @@ export async function embedBatch(
   if (texts.length <= BATCH_SIZE && !options.onBatchComplete) {
     return gatewayEmbed(texts, gwOpts);
   }
-  // #1818: dispatch sub-batches through a bounded worker pool instead of a
-  // serial loop. Results are written into a preallocated index-addressed
-  // array so output order matches input order regardless of completion
-  // order; onBatchComplete reports a monotonic completed-embedding count.
-  const slices: Array<{ start: number; texts: string[] }> = [];
+  const results: Float32Array[] = [];
   for (let i = 0; i < texts.length; i += BATCH_SIZE) {
-    slices.push({ start: i, texts: texts.slice(i, i + BATCH_SIZE) });
+    const slice = texts.slice(i, i + BATCH_SIZE);
+    const out = await gatewayEmbed(slice, gwOpts);
+    results.push(...out);
+    options.onBatchComplete?.(results.length, texts.length);
   }
-  const results = new Array<Float32Array>(texts.length);
-  let next = 0;
-  let done = 0;
-  const numWorkers = Math.min(resolveEmbedBatchConcurrency(options), slices.length);
-  // Once any sub-batch fails, `failed` stops the surviving workers from
-  // dispatching FURTHER slices — the whole call is rejecting anyway, so
-  // continuing would burn real provider spend in the background and fire
-  // onBatchComplete after the caller already saw the failure (worst with
-  // embedBatchWithBackoff, whose 429 backoff assumes nothing is in flight).
-  // In-flight sibling calls still run to completion (bounded by numWorkers-1).
-  let failed = false;
-  const worker = async (): Promise<void> => {
-    while (!failed && next < slices.length) {
-      // NOTE: no local aborted-check here — an aborted signal makes the next
-      // gatewayEmbed call throw (SDK-side), which rejects the pool. Returning
-      // silently instead would resolve with holes in `results`.
-      const slice = slices[next++];
-      let out: Float32Array[];
-      try {
-        out = await gatewayEmbed(slice.texts, gwOpts);
-      } catch (err) {
-        failed = true;
-        throw err;
-      }
-      for (let j = 0; j < out.length; j++) results[slice.start + j] = out[j];
-      done += out.length;
-      if (!failed) options.onBatchComplete?.(done, texts.length);
-    }
-  };
-  await Promise.all(Array.from({ length: numWorkers }, () => worker()));
   return results;
 }
 

src/core/operations.ts

@@ -3289,7 +3289,7 @@ const get_calibration_profile: Operation = {
     holder: {
       type: 'string',
       description:
-        "Holder slug, e.g. 'garry' or 'people/charlie-example'. Defaults to 'garry' when omitted.",
+        "Holder slug, e.g. 'self' or 'people/charlie-example'. Defaults to config emotional_weight.user_holder, else 'self', when omitted.",
     },
   },
   handler: async (ctx, p) => {

src/core/owner-holder.ts

@@ -0,0 +1,24 @@
+/**
+ * Canonical holder string for "the brain owner," resolved in ONE place so the
+ * calibration / think / doctor / emotional-weight defaults stop disagreeing.
+ *
+ * The default matches the consolidate facts→takes writer
+ * (src/core/cycle/phases/consolidate.ts: holder:'self') and docs/takes-vs-facts.md.
+ * Do NOT introduce a fourth literal — three already exist historically
+ * ('garry', 'system', 'self'); this is the source of truth.
+ *
+ * NORMALIZATION NOTE: the brain owner may also appear under other holder
+ * strings — 'brain' (propose_takes when the author asserts a claim) and
+ * people/<owner> (extraction that names the owner). This resolver only selects
+ * the *default* canonical owner string for reads; it does NOT merge those other
+ * strings. Unifying them is owner-identity entity-resolution, tracked separately
+ * (see garrytan/gbrain#2465). Until then, historical owner takes
+ * under 'brain'/people-<owner> are not folded into the default profile.
+ */
+export const DEFAULT_OWNER_HOLDER = 'self';
+
+export function resolveOwnerHolder(
+  opts: { override?: string | null; configValue?: string | null },
+): string {
+  return opts.override ?? opts.configValue ?? DEFAULT_OWNER_HOLDER;
+}

src/core/think/index.ts

@@ -23,6 +23,7 @@ import { runGather, renderPagesBlock, takesHitToTakeForPrompt } from './gather.t
 import { renderTakesBlock } from './sanitize.ts';
 import { buildThinkSystemPrompt, buildThinkUserMessage } from './prompt.ts';
 import { resolveCitations, type ParsedCitation } from './cite-render.ts';
+import { resolveOwnerHolder } from '../owner-holder.ts';
 import { resolveModel } from '../model-config.ts';
 import { chat as gatewayChat, probeChatModel, type ChatResult } from '../ai/gateway.ts';
 import { AIConfigError } from '../ai/errors.ts';
@@ -76,8 +77,8 @@ export interface RunThinkOpts {
    */
   withCalibration?: boolean;
   /**
-   * Holder to retrieve the calibration profile for. Default 'garry'. Only
-   * consulted when withCalibration=true.
+   * Holder to retrieve the calibration profile for. Resolves via resolveOwnerHolder
+   * (config emotional_weight.user_holder, else 'self'). Only consulted when withCalibration=true.
    */
   calibrationHolder?: string;
   /**
@@ -308,7 +309,10 @@ export async function runThink(
     try {
       const { getLatestProfile } = await import('../../commands/calibration.ts');
       const profile = await getLatestProfile(engine, {
-        holder: opts.calibrationHolder ?? 'garry',
+        holder: resolveOwnerHolder({
+          override: opts.calibrationHolder,
+          configValue: await engine.getConfig('emotional_weight.user_holder'),
+        }),
       });
       if (profile) {
         calibrationBlockOpts = {

test/ai/adaptive-embed-batch.test.ts

@@ -39,8 +39,6 @@ import {
   __getShrinkStateForTests,
 } from '../../src/core/ai/gateway.ts';
 import { AIConfigError, AITransientError } from '../../src/core/ai/errors.ts';
-import { RECIPES } from '../../src/core/ai/recipes/index.ts';
-import type { Recipe } from '../../src/core/ai/types.ts';
 
 // The last test in this file leaves the gateway configured with a remote
 // provider + fake key and a REAL embed transport. Without a final reset,
@@ -95,14 +93,6 @@ function configureGoogle(): void {
   });
 }
 
-function configureDashscope(): void {
-  configureGateway({
-    embedding_model: 'dashscope:text-embedding-v3',
-    embedding_dimensions: 1024,
-    env: { DASHSCOPE_API_KEY: 'sk-fake' },
-  });
-}
-
 // --------- 1. Pure helpers ---------
 
 describe('splitByTokenBudget (pure helper)', () => {
@@ -159,27 +149,6 @@ describe('splitByTokenBudget (pure helper)', () => {
     expect(splitByTokenBudget(texts, 96_000, 0)).toEqual(splitByTokenBudget(texts, 96_000, 4));
     expect(splitByTokenBudget(texts, 96_000, -1)).toEqual(splitByTokenBudget(texts, 96_000, 4));
   });
-
-  // #1199: count cap for providers that reject batches by input count.
-  test('max_batch_count flushes even when token budget has room', () => {
-    const texts = Array.from({ length: 25 }, (_, i) => `t${i}`);
-    const result = splitByTokenBudget(texts, 1_000_000, 4, 10);
-    expect(result.map(b => b.length)).toEqual([10, 10, 5]);
-    expect(result.flat()).toEqual(texts);
-  });
-
-  test('token budget still governs alongside max_batch_count', () => {
-    const texts = ['a'.repeat(50_000), 'b'.repeat(50_000), 'c'.repeat(50_000)];
-    const result = splitByTokenBudget(texts, 96_000, 1, 10);
-    expect(result).toHaveLength(3);
-  });
-
-  test('undefined / zero / negative max_batch_count is ignored', () => {
-    const texts = Array.from({ length: 25 }, () => 'x');
-    expect(splitByTokenBudget(texts, 1_000_000, 4, undefined)).toHaveLength(1);
-    expect(splitByTokenBudget(texts, 1_000_000, 4, 0)).toHaveLength(1);
-    expect(splitByTokenBudget(texts, 1_000_000, 4, -5)).toHaveLength(1);
-  });
 });
 
 describe('isTokenLimitError (pure helper)', () => {
@@ -210,12 +179,6 @@ describe('isTokenLimitError (pure helper)', () => {
     expect(isTokenLimitError(new Error('Exceeded 300000 max tokens per request'))).toBe(true);
   });
 
-  test('matches DashScope batch-count error (#1199)', () => {
-    expect(isTokenLimitError(new Error(
-      'InvalidParameter: batch size is invalid, it should not be larger than 10.',
-    ))).toBe(true);
-  });
-
   test('does not match unrelated errors', () => {
     expect(isTokenLimitError(new Error('Connection refused'))).toBe(false);
     expect(isTokenLimitError(new Error('Invalid API key'))).toBe(false);
@@ -424,92 +387,26 @@ describe('shrink-on-miss adaptive cache', () => {
   });
 });
 
-// --------- 8. Pre-split count cap through public embed() (#1199 / #970) ---------
-
-describe('embed() pre-split honors max_batch_count', () => {
-  beforeEach(() => resetGateway());
-  afterEach(() => __setEmbedTransportForTests(null));
-
-  test('dashscope never dispatches more than 10 inputs per call (#1199)', async () => {
-    configureDashscope();
-    const stub = mock(async ({ values }: { values: string[] }) => fakeEmbeddings(values, 1024));
-    __setEmbedTransportForTests(stub as any);
-
-    // 25 short texts fit trivially in the 8192-token budget; without the
-    // count cap they'd ship as ONE batch and DashScope would reject it.
-    const texts = Array.from({ length: 25 }, (_, i) => `short-${i}`);
-    const result = await embed(texts);
-
-    expect(result).toHaveLength(25);
-    const callLengths = stub.mock.calls.map(([arg]) => (arg as { values: string[] }).values.length);
-    expect(Math.max(...callLengths)).toBeLessThanOrEqual(10);
-    expect(callLengths.reduce((a, b) => a + b, 0)).toBe(25);
-    // Order preserved across sub-batches.
-    expect((stub.mock.calls[0][0] as { values: string[] }).values[0]).toBe('short-0');
-  });
-
-  test('google pre-splits at 100 inputs per batchEmbedContents call (#970)', async () => {
-    configureGoogle();
-    const stub = mock(async ({ values }: { values: string[] }) => fakeEmbeddings(values, 768));
-    __setEmbedTransportForTests(stub as any);
-
-    const texts = Array.from({ length: 250 }, (_, i) => `g${i}`);
-    const result = await embed(texts);
-
-    expect(result).toHaveLength(250);
-    const callLengths = stub.mock.calls.map(([arg]) => (arg as { values: string[] }).values.length);
-    expect(callLengths).toEqual([100, 100, 50]);
-  });
-});
-
 // --------- 7. Startup warning (D9-B) ---------
 
 describe('startup warning for recipes missing max_batch_tokens', () => {
   beforeEach(() => resetGateway());
 
-  // #970 closed google's missing cap, so no registered recipe is capless
-  // anymore. Inject a synthetic capless recipe to keep the warning path
-  // covered for the NEXT recipe that forgets the field.
-  const caplessRecipe: Recipe = {
-    id: 'capless-test',
-    name: 'Capless Test Provider',
-    tier: 'openai-compat',
-    implementation: 'openai-compatible',
-    base_url_default: 'https://example.invalid/v1',
-    auth_env: { required: [] },
-    touchpoints: {
-      embedding: { models: ['capless-embed-1'], default_dims: 768 },
-    },
-  };
-
-  function configureCapless(): void {
-    configureGateway({
-      embedding_model: 'capless-test:capless-embed-1',
-      embedding_dimensions: 768,
-      env: {},
-    });
-  }
-
   test('configured missing-cap recipe warns once; unrelated recipes stay quiet', () => {
     const warnings: string[] = [];
     const original = console.warn;
     console.warn = (msg: string) => warnings.push(String(msg));
-    RECIPES.set(caplessRecipe.id, caplessRecipe);
     try {
       configureOpenAI();
       expect(warnings.length).toBe(0);
-      // #970 regression: google now declares max_batch_tokens → quiet.
       configureGoogle();
-      expect(warnings.length).toBe(0);
-      configureCapless();
       const firstCallCount = warnings.length;
       // Reconfigure: the warning should NOT re-fire for the same recipes
       // within one process (we already told the operator).
-      configureCapless();
+      configureGoogle();
       expect(warnings.length).toBe(firstCallCount);
     } finally {
       console.warn = original;
-      RECIPES.delete(caplessRecipe.id);
     }
 
     // The warning text should match the documented contract.
@@ -518,12 +415,11 @@ describe('startup warning for recipes missing max_batch_tokens', () => {
     );
     expect(contractMatch.length).toBe(1);
 
-    // Voyage + google declare max_batch_tokens → suppressed. OpenAI is the
-    // canonical fast-path recipe → also suppressed by id. All must be
-    // absent from the warnings; only the synthetic capless recipe fires.
+    // Voyage declares max_batch_tokens → suppressed. OpenAI is the
+    // canonical fast-path recipe → also suppressed by id. Both must be
+    // absent from the warnings.
     expect(warnings.find(w => w.includes('"voyage"'))).toBeUndefined();
     expect(warnings.find(w => w.includes('"openai"'))).toBeUndefined();
-    expect(warnings.find(w => w.includes('"google"'))).toBeUndefined();
-    expect(warnings.find(w => w.includes('"capless-test"'))).toBeDefined();
+    expect(warnings.find(w => w.includes('"google"'))).toBeDefined();
   });
 });

test/ai/no-batch-cap-suppression.serial.test.ts

@@ -52,7 +52,16 @@ describe('v0.32 #779: no_batch_cap suppresses the missing-max_batch_tokens warni
     }
   });
 
-  test('configureGateway does NOT warn for google now that it declares batch caps (#970)', () => {
+  test('configureGateway warns for google only when google embedding is configured', () => {
+    warnSpy.mockClear();
+    resetGateway();
+    configureGateway({ env: {} });
+    let messages = warnSpy.mock.calls.map(c => String(c[0] ?? ''));
+    expect(
+      messages.some(m => m.includes('"google"') && m.includes('without max_batch_tokens')),
+      'google should not warn while OpenAI default is configured',
+    ).toBe(false);
+
     warnSpy.mockClear();
     resetGateway();
     configureGateway({
@@ -60,20 +69,11 @@ describe('v0.32 #779: no_batch_cap suppresses the missing-max_batch_tokens warni
       embedding_dimensions: 768,
       env: { GOOGLE_GENERATIVE_AI_API_KEY: 'fake' },
     });
-    const messages = warnSpy.mock.calls.map(c => String(c[0] ?? ''));
+    messages = warnSpy.mock.calls.map(c => String(c[0] ?? ''));
     expect(
       messages.some(m => m.includes('"google"') && m.includes('without max_batch_tokens')),
-      'google declares max_batch_tokens/max_batch_count since #970 — no warning',
-    ).toBe(false);
-  });
-
-  test('google recipe declares its derived batch caps (#970)', () => {
-    const e = getRecipe('google')!.touchpoints.embedding!;
-    // Count cap is the REAL Gemini limit (batchEmbedContents: 100 inputs);
-    // the token budget is derived (100 × 2048 per-input tokens), NOT the
-    // 2048 per-input limit — copying that verbatim would over-split 50×.
-    expect(e.max_batch_count).toBe(100);
-    expect(e.max_batch_tokens).toBe(204_800);
+      'google should warn when configured because it has fixed-cap models',
+    ).toBe(true);
   });
 
   test('every recipe with empty models[] declares user_provided_models OR has openai-fast-path', () => {

test/ai/recipe-dashscope.test.ts

@@ -55,11 +55,6 @@ describe('recipe: dashscope', () => {
     expect(r.touchpoints.embedding!.chars_per_token).toBeGreaterThan(0);
   });
 
-  test('declares max_batch_count: 10 — DashScope rejects larger batches (#1199)', () => {
-    const r = getRecipe('dashscope')!;
-    expect(r.touchpoints.embedding!.max_batch_count).toBe(10);
-  });
-
   test('dimsProviderOptions threads dimensions for text-embedding-v3 (Matryoshka)', async () => {
     // Codex finding #1: DashScope text-embedding-v3 is Matryoshka 64-1024.
     // Without `dimensions` on the wire, user-selected non-default dims are

test/calibration-cli.test.ts

@@ -27,6 +27,12 @@ function buildMockEngine(opts: { rows: CalibrationProfileRow[] }): {
   const capturedParams: unknown[][] = [];
   const engine = {
     kind: 'pglite',
+    // #2464: getCalibrationProfileOp resolves the owner holder via
+    // resolveOwnerHolder(config emotional_weight.user_holder, else 'self'), so the
+    // mock must implement getConfig. null = key unset → resolver falls back to 'self'.
+    async getConfig(): Promise<string | null> {
+      return null;
+    },
     async executeRaw<T>(sql: string, params?: unknown[]): Promise<T[]> {
       capturedSql.push(sql);
       capturedParams.push(params ?? []);
@@ -211,17 +217,17 @@ describe('formatProfileText', () => {
 // ─── getCalibrationProfileOp ────────────────────────────────────────
 
 describe('getCalibrationProfileOp (MCP)', () => {
-  test('defaults holder to "garry" when omitted', async () => {
-    const { engine } = buildMockEngine({ rows: [buildProfile({ holder: 'garry' })] });
+  test('defaults holder to "self" when omitted (config emotional_weight.user_holder unset)', async () => {
+    const { engine } = buildMockEngine({ rows: [buildProfile({ holder: 'self' })] });
     const ctx = buildCtx(engine);
     const result = await getCalibrationProfileOp(ctx, {});
-    expect(result?.holder).toBe('garry');
+    expect(result?.holder).toBe('self');
   });
 
   test('routes through sourceScopeOpts: scalar source-bound client gets source-scoped result', async () => {
     const rows = [
-      buildProfile({ holder: 'garry', source_id: 'default' }),
-      buildProfile({ holder: 'garry', source_id: 'tenant-b' }),
+      buildProfile({ holder: 'self', source_id: 'default' }),
+      buildProfile({ holder: 'self', source_id: 'tenant-b' }),
     ];
     const { engine } = buildMockEngine({ rows });
     const ctx = buildCtx(engine, { sourceId: 'tenant-b' });
@@ -231,8 +237,8 @@ describe('getCalibrationProfileOp (MCP)', () => {
 
   test('federated read scope sees the union of allowed sources', async () => {
     const rows = [
-      buildProfile({ holder: 'garry', source_id: 'tenant-a' }),
-      buildProfile({ holder: 'garry', source_id: 'tenant-z' }),
+      buildProfile({ holder: 'self', source_id: 'tenant-a' }),
+      buildProfile({ holder: 'self', source_id: 'tenant-z' }),
     ];
     const { engine } = buildMockEngine({ rows });
     const ctx = buildCtx(engine, { allowedSources: ['tenant-a', 'tenant-b'] });

test/calibration-profile.test.ts

@@ -32,7 +32,7 @@ interface CapturedSql {
   params: unknown[];
 }
 
-function buildMockEngine(opts: { scorecard: TakesScorecard }): {
+function buildMockEngine(opts: { scorecard: TakesScorecard; userHolder?: string | null }): {
   engine: BrainEngine;
   captured: CapturedSql[];
 } {
@@ -42,6 +42,10 @@ function buildMockEngine(opts: { scorecard: TakesScorecard }): {
     async getScorecard() {
       return opts.scorecard;
     },
+    async getConfig(key: string): Promise<string | null> {
+      if (key === 'emotional_weight.user_holder') return opts.userHolder ?? null;
+      return null;
+    },
     async executeRaw<T>(sql: string, params?: unknown[]): Promise<T[]> {
       captured.push({ sql, params: params ?? [] });
       return [];
@@ -234,7 +238,7 @@ describe('runPhaseCalibrationProfile — phase integration', () => {
     // grade_completion, domain_scorecards_json, patterns[], voice_passed, voice_attempts,
     // bias_tags[], model_id
     expect(insert!.params[0]).toBe('default'); // source_id
-    expect(insert!.params[1]).toBe('garry'); // holder
+    expect(insert!.params[1]).toBe('self'); // holder (resolved via resolveOwnerHolder, no override)
     expect(insert!.params[2]).toBe(12); // total_resolved
     expect(insert!.params[9]).toBe(true); // voice_gate_passed
     expect(insert!.params[10]).toBe(1); // voice_gate_attempts
@@ -330,4 +334,24 @@ describe('runPhaseCalibrationProfile — phase integration', () => {
     const insert = captured.find(c => c.sql.includes('INSERT INTO calibration_profiles'));
     expect(insert!.params[0]).toBe('tenant-b');
   });
+
+  test('cold-brain summary uses resolved owner holder self when user_holder unset', async () => {
+    const { engine } = buildMockEngine({
+      scorecard: { total_bets: 0, resolved: 0, correct: 0, incorrect: 0, partial: 0,
+        accuracy: null, brier: null, partial_rate: null, unresolvable_count: 0, unresolvable_rate: null },
+    });
+    const result = await runPhaseCalibrationProfile(buildCtx(engine), {});
+    expect(result.summary).toContain('holder=self');
+    expect(result.summary).not.toContain('holder=garry');
+  });
+
+  test('configured user_holder overrides the default in the cold-brain summary', async () => {
+    const { engine } = buildMockEngine({
+      scorecard: { total_bets: 0, resolved: 0, correct: 0, incorrect: 0, partial: 0,
+        accuracy: null, brier: null, partial_rate: null, unresolvable_count: 0, unresolvable_rate: null },
+      userHolder: 'people/charlie-example',
+    });
+    const result = await runPhaseCalibrationProfile(buildCtx(engine), {});
+    expect(result.summary).toContain('holder=people/charlie-example');
+  });
 });

test/doctor-calibration-checks.test.ts

@@ -32,6 +32,12 @@ function buildMockEngine(opts: {
 }): BrainEngine {
   return {
     kind: 'pglite',
+    // #2464: checkCalibrationFreshness resolves the owner holder via
+    // resolveOwnerHolder(config emotional_weight.user_holder, else 'self'), so the
+    // mock must implement getConfig. null = key unset → resolver falls back to 'self'.
+    async getConfig(): Promise<string | null> {
+      return null;
+    },
     async executeRaw<T>(sql: string): Promise<T[]> {
       if (opts.throwOn && opts.throwOn.test(sql)) {
         throw new Error('mock engine error: ' + sql.slice(0, 50));

test/embed-batch-concurrency.test.ts

@@ -1,161 +0,0 @@
-/**
- * #1818: embedBatch dispatches its 100-input sub-batches through a bounded
- * worker pool (the embed-stale.ts concurrency pattern) instead of a serial
- * `for` loop. This file pins:
- *
- *   - output order matches input order regardless of completion order
- *     (index-addressed results)
- *   - parallelism actually happens (max in-flight > 1) and stays bounded
- *     (max in-flight <= configured concurrency)
- *   - concurrency: 1 restores the serial pre-#1818 dispatch
- *   - GBRAIN_EMBED_BATCH_CONCURRENCY env is honored when the option is unset
- *   - onBatchComplete reports a monotonic completed count ending at total
- *
- * Transport is stubbed via the gateway's __setEmbedTransportForTests seam
- * (same pattern as test/ai/adaptive-embed-batch.test.ts). OpenAI recipe =
- * fast path (no pre-split), so each embedBatch sub-batch is exactly one
- * transport call.
- */
-
-import { afterAll, afterEach, beforeEach, describe, expect, test } from 'bun:test';
-import {
-  configureGateway,
-  resetGateway,
-  __setEmbedTransportForTests,
-} from '../src/core/ai/gateway.ts';
-import { embedBatch } from '../src/core/embedding.ts';
-import { withEnv } from './helpers/with-env.ts';
-
-const DIMS = 1536;
-
-function configureOpenAI(): void {
-  configureGateway({
-    embedding_model: 'openai:text-embedding-3-large',
-    embedding_dimensions: DIMS,
-    env: { OPENAI_API_KEY: 'sk-fake' },
-  });
-}
-
-/**
- * Install a transport whose returned embedding encodes the GLOBAL input
- * index in dim 0 (texts are `t<N>`), so order can be asserted end-to-end.
- * Tracks the max number of concurrently in-flight transport calls.
- */
-function installTrackingTransport(delayMs = 5): { maxInFlight: () => number } {
-  let inFlight = 0;
-  let maxInFlight = 0;
-  __setEmbedTransportForTests((async ({ values }: { values: string[] }) => {
-    inFlight++;
-    maxInFlight = Math.max(maxInFlight, inFlight);
-    await new Promise(r => setTimeout(r, delayMs));
-    inFlight--;
-    return {
-      embeddings: values.map(v => {
-        const idx = Number(v.slice(1));
-        return Array.from({ length: DIMS }, (_, j) => (j === 0 ? idx : 0.1));
-      }),
-    };
-  }) as any);
-  return { maxInFlight: () => maxInFlight };
-}
-
-const texts = Array.from({ length: 250 }, (_, i) => `t${i}`);
-
-afterAll(() => resetGateway());
-
-describe('embedBatch bounded parallelism (#1818)', () => {
-  beforeEach(() => {
-    resetGateway();
-    configureOpenAI();
-  });
-  afterEach(() => {
-    __setEmbedTransportForTests(null);
-  });
-
-  test('default pool dispatches sub-batches in parallel, order preserved', async () => {
-    const tracker = installTrackingTransport();
-    const result = await embedBatch(texts, { onBatchComplete: () => {} });
-    expect(result).toHaveLength(250);
-    for (let i = 0; i < 250; i++) {
-      expect(result[i][0]).toBe(i);
-    }
-    // 250 texts → 3 sub-batches; default concurrency 4 → all 3 in flight.
-    expect(tracker.maxInFlight()).toBeGreaterThan(1);
-    expect(tracker.maxInFlight()).toBeLessThanOrEqual(4);
-  });
-
-  test('concurrency: 1 keeps the serial dispatch', async () => {
-    const tracker = installTrackingTransport();
-    const result = await embedBatch(texts, { concurrency: 1, onBatchComplete: () => {} });
-    expect(result).toHaveLength(250);
-    expect(tracker.maxInFlight()).toBe(1);
-  });
-
-  test('GBRAIN_EMBED_BATCH_CONCURRENCY env bounds the pool when option unset', async () => {
-    const tracker = installTrackingTransport();
-    await withEnv({ GBRAIN_EMBED_BATCH_CONCURRENCY: '2' }, async () => {
-      await embedBatch(texts, { onBatchComplete: () => {} });
-    });
-    expect(tracker.maxInFlight()).toBeGreaterThan(1);
-    expect(tracker.maxInFlight()).toBeLessThanOrEqual(2);
-  });
-
-  test('onBatchComplete reports a monotonic count ending at total', async () => {
-    installTrackingTransport();
-    const seen: number[] = [];
-    await embedBatch(texts, {
-      onBatchComplete: (done, total) => {
-        expect(total).toBe(250);
-        seen.push(done);
-      },
-    });
-    expect(seen).toHaveLength(3); // 100 + 100 + 50 sub-batches
-    for (let i = 1; i < seen.length; i++) {
-      expect(seen[i]).toBeGreaterThan(seen[i - 1]);
-    }
-    expect(seen[seen.length - 1]).toBe(250);
-  });
-
-  test('a failing sub-batch rejects the whole call', async () => {
-    let call = 0;
-    __setEmbedTransportForTests((async ({ values }: { values: string[] }) => {
-      call++;
-      if (call === 2) throw new Error('boom');
-      await new Promise(r => setTimeout(r, 2));
-      return { embeddings: values.map(() => Array.from({ length: DIMS }, () => 0.1)) };
-    }) as any);
-    await expect(embedBatch(texts, { onBatchComplete: () => {} })).rejects.toThrow();
-  });
-
-  test('after a failure, surviving workers stop dispatching new slices', async () => {
-    // 1000 texts → 10 slices, concurrency 2. First call fails immediately;
-    // without the `failed` flag the second worker would keep draining all
-    // 10 slices in the background AFTER embedBatch already rejected —
-    // burning provider spend and firing onBatchComplete post-rejection.
-    let calls = 0;
-    const completions: number[] = [];
-    __setEmbedTransportForTests((async ({ values }: { values: string[] }) => {
-      calls++;
-      if (calls === 1) throw new Error('boom');
-      await new Promise(r => setTimeout(r, 5));
-      return { embeddings: values.map(() => Array.from({ length: DIMS }, () => 0.1)) };
-    }) as any);
-    const many = Array.from({ length: 1000 }, (_, i) => `t${i}`);
-    await expect(
-      embedBatch(many, { concurrency: 2, onBatchComplete: d => completions.push(d) }),
-    ).rejects.toThrow('boom');
-    const callsAtRejection = calls;
-    await new Promise(r => setTimeout(r, 50)); // would-be background drain window
-    expect(calls).toBe(callsAtRejection); // no new dispatch after rejection
-    expect(calls).toBeLessThanOrEqual(2); // only the in-flight sibling ran
-    expect(completions).toHaveLength(0); // no progress reported after failure
-  });
-
-  test('single small batch without callback stays on the one-call fast path', async () => {
-    const tracker = installTrackingTransport(1);
-    const result = await embedBatch(['t0', 't1', 't2']);
-    expect(result).toHaveLength(3);
-    expect(result[1][0]).toBe(1);
-    expect(tracker.maxInFlight()).toBe(1);
-  });
-});

test/emotional-weight.test.ts

@@ -112,3 +112,7 @@ describe('computeEmotionalWeight', () => {
     expect(HIGH_EMOTION_TAGS.has('mental-health')).toBe(true);
   });
 });
+
+test('DEFAULT_USER_HOLDER is the canonical owner holder self', () => {
+  expect(DEFAULT_USER_HOLDER).toBe('self');
+});

test/helpers/legacy-embedding-preload.ts

@@ -19,7 +19,7 @@
  * overwrites this preload.
  */
 import { configureGateway, getEmbeddingDimensions } from '../../src/core/ai/gateway.ts';
-import { afterEach, beforeEach } from 'bun:test';
+import { beforeEach } from 'bun:test';
 
 const LEGACY_CONFIG = {
   embedding_model: 'openai:text-embedding-3-large',
@@ -52,7 +52,7 @@ applyLegacy();
 //   2. file-local beforeAll → may overwrite to ZE/1280
 // Since beforeAll runs once per file BEFORE the first beforeEach,
 // file-local beforeAll wins for that file's tests. ✓
-function applyLegacyIfEmpty() {
+beforeEach(() => {
   try {
     // Only re-apply if the gateway was reset (or never configured).
     // Tests that explicitly configured a different model in their
@@ -62,28 +62,4 @@ function applyLegacyIfEmpty() {
   } catch {
     applyLegacy();
   }
-}
-
-beforeEach(applyLegacyIfEmpty);
-
-// PR #3130 shard-order fix: beforeEach alone leaves ONE window open — a file
-// whose LAST afterEach calls resetGateway() poisons the NEXT file's
-// beforeAll, which runs BEFORE any beforeEach fires. A beforeAll there that
-// does engine.initSchema() then sizes the embedding column from the gateway
-// DEFAULTS (zembed-1/1280d) instead of the pinned legacy 1536, and every
-// 1536-d Float32Array fixture in that file dies with
-// "expected 1280 dimensions, not 1536". Which file pair collides is a
-// function of shard composition, so adding/removing ANY test file can
-// surface it (that is exactly how it bit shard 9).
-//
-// Preload hooks are registered before any file-local hooks, and bun runs
-// after-hooks inside-out (file-local afterEach first, then this one), so
-// this repairs the empty slot immediately after the poisoning reset —
-// before the next file's beforeAll can observe it.
-//
-// Known remaining window: a file whose afterAll() resets the gateway (no
-// hook runs between its afterAll and the next file's beforeAll). Files
-// that reset in afterAll and can precede a schema-creating file should
-// re-apply their own config, or the victim file should configureGateway()
-// explicitly in its beforeAll.
-afterEach(applyLegacyIfEmpty);
+});

test/import-default-workers.test.ts

@@ -1,69 +0,0 @@
-/**
- * #1207: `gbrain import` without `--workers` used to hardcode workerCount=1,
- * so a large Postgres import paid one serial embedding round-trip per file.
- * runImport now routes the default through the shared autoConcurrency policy
- * (PGLite → 1, >100 files on Postgres → DEFAULT_PARALLEL_WORKERS), while an
- * explicit `--workers N` still wins.
- *
- * The engine here is a minimal postgres-kind stub with no database_url in
- * config — runImport's parallel branch then falls back to serial processing
- * (its PR #490 guard) but the WORKER-COUNT DECISION (the thing #1207 fixes)
- * is still observable via the "Using N parallel workers" log line. Per-file
- * imports fail against the stub engine and are swallowed by runImport's
- * per-file catch; that's fine — this test pins the policy, not the import.
- */
-
-import { afterEach, beforeEach, describe, expect, test } from 'bun:test';
-import { mkdtempSync, writeFileSync, mkdirSync, rmSync, realpathSync } from 'fs';
-import { tmpdir } from 'os';
-import { join } from 'path';
-import { withEnv } from './helpers/with-env.ts';
-import { runImport } from '../src/commands/import.ts';
-
-const fakePostgresEngine = {
-  kind: 'postgres',
-  executeRaw: async () => [],
-  logIngest: async () => {},
-  setConfig: async () => {},
-  getConfig: async () => null,
-} as any;
-
-let workspace: string;
-let brainDir: string;
-let logs: string[];
-const realLog = console.log;
-
-beforeEach(() => {
-  workspace = mkdtempSync(join(tmpdir(), 'gbrain-import-workers-home-'));
-  mkdirSync(join(workspace, '.gbrain'), { recursive: true });
-  brainDir = realpathSync(mkdtempSync(join(tmpdir(), 'gbrain-import-workers-brain-')));
-  // 101 files: one past AUTO_CONCURRENCY_FILE_THRESHOLD (100).
-  for (let i = 0; i < 101; i++) {
-    writeFileSync(join(brainDir, `page-${i}.md`), `# Page ${i}\n\nbody ${i}\n`);
-  }
-  logs = [];
-  console.log = (msg?: unknown) => logs.push(String(msg));
-});
-
-afterEach(() => {
-  console.log = realLog;
-  rmSync(workspace, { recursive: true, force: true });
-  rmSync(brainDir, { recursive: true, force: true });
-});
-
-describe('import default worker count (#1207)', () => {
-  test('no --workers flag → autoConcurrency picks 4 for >100 files on Postgres', async () => {
-    await withEnv({ GBRAIN_HOME: join(workspace, '.gbrain'), GBRAIN_SOURCE: undefined }, async () => {
-      await runImport(fakePostgresEngine, [brainDir, '--no-embed'], { sourceId: 'default' });
-    });
-    expect(logs.some(l => l.includes('Using 4 parallel workers'))).toBe(true);
-  });
-
-  test('explicit --workers 2 still wins over the auto policy', async () => {
-    await withEnv({ GBRAIN_HOME: join(workspace, '.gbrain'), GBRAIN_SOURCE: undefined }, async () => {
-      await runImport(fakePostgresEngine, [brainDir, '--no-embed', '--workers', '2'], { sourceId: 'default' });
-    });
-    expect(logs.some(l => l.includes('Using 2 parallel workers'))).toBe(true);
-    expect(logs.some(l => l.includes('Using 4 parallel workers'))).toBe(false);
-  });
-});

test/owner-holder.test.ts

@@ -0,0 +1,27 @@
+import { describe, test, expect } from 'bun:test';
+import { resolveOwnerHolder, DEFAULT_OWNER_HOLDER } from '../src/core/owner-holder.ts';
+
+describe('owner-holder', () => {
+  test('DEFAULT_OWNER_HOLDER is self', () => {
+    expect(DEFAULT_OWNER_HOLDER).toBe('self');
+  });
+
+  test('defaults to self when nothing provided', () => {
+    expect(resolveOwnerHolder({})).toBe('self');
+  });
+
+  test('null/undefined config falls back to self', () => {
+    expect(resolveOwnerHolder({ configValue: null })).toBe('self');
+    expect(resolveOwnerHolder({ configValue: undefined })).toBe('self');
+  });
+
+  test('uses config value when set and no override', () => {
+    expect(resolveOwnerHolder({ configValue: 'people/charlie-example' }))
+      .toBe('people/charlie-example');
+  });
+
+  test('override beats config and default', () => {
+    expect(resolveOwnerHolder({ override: 'world', configValue: 'people/charlie-example' }))
+      .toBe('world');
+  });
+});