fix(schema-pack): restore v2 capability parity + derive bundled-pack list + calibration holder config

- #2109: extract-timeline-from-meetings matches frontmatter.legacy_type='meeting'
  in both SQL sites so unify-types-migrated (gbrain-base-v2) brains keep the
  feature alive; pre-unify type='meeting' behavior unchanged.
- #2117: gbrain-base-v2 declares phases: [extract_atoms] and ports v1's
  founded/works_at/invested_in inference regexes so extract_atoms is no longer
  pack-gated off and extract-ner no longer returns pack_unavailable on the
  bundled default pack. (attended's page_type:meeting inference deliberately
  not ported — v2 declares no meeting type; lint would reject it.)
- #1726 (A): list_schema_packs derives from the exported BUNDLED_PACKS registry
  in load-active.ts instead of a frozen 2-of-7 literal.
- #1726 (B): new calibration.user_holder config key (symmetric with
  emotional_weight.user_holder) resolved by the calibration_profile phase, the
  gbrain calibration CLI, and the get_calibration_profile op; explicit
  holder param still wins; 'garry' stays the fallback.

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 { runPhaseCalibrationProfile } from '../core/cycle/calibration-profile.ts';
+import { resolveCalibrationHolder, 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 = opts.holder ?? 'garry';
+  const holder = await resolveCalibrationHolder(engine, opts.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).
@@ -253,14 +253,14 @@ export async function getCalibrationProfileOp(
   ctx: OperationContext,
   params: { holder?: string },
 ): Promise<CalibrationProfileRow | null> {
-  const holder = params.holder ?? 'garry';
-  if (typeof holder !== 'string' || holder.length === 0) {
+  if (params.holder !== undefined && (typeof params.holder !== 'string' || params.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 calibration.user_holder config (then "garry")',
     );
   }
+  const holder = await resolveCalibrationHolder(ctx.engine, params.holder);
   const scope = sourceScopeOpts(ctx);
   return getLatestProfile(ctx.engine, { holder, ...scope });
 }

src/commands/doctor.ts

@@ -820,10 +820,6 @@ export async function doctorReportRemote(engine: BrainEngine): Promise<DoctorRep
   // v0.42.x (#1794, 4A): pool-budget nudge when GBRAIN_MAX_CONNECTIONS is set.
   checks.push(await checkPoolBudget(engine));
 
-  // #2552: warn when an explicit embed-concurrency override fans out against
-  // a local single-slot embedding endpoint (silent backfill starvation).
-  checks.push(await checkEmbedConcurrency());
-
   // v0.42.7 (#1696): link-extraction lag. Strictly SQL (single indexed COUNT),
   // safe on the thin-client/remote path — remote operators on checkout-less
   // Postgres brains are exactly who can't otherwise see the extraction backlog.
@@ -3819,61 +3815,6 @@ export function computePoolBudgetCheck(
   };
 }
 
-/**
- * #2552: warn when an explicit GBRAIN_EMBED_CONCURRENCY override fans out
- * against a local single-slot embedding endpoint (Ollama / llama-server /
- * localhost base URL). Requests serialize on the one loaded model, so N
- * parallel pages multiply latency xN and can exceed the fetch timeout with
- * no surfaced error — the backfill silently starves. (When the env var is
- * unset, embed auto-caps at LOCAL_EMBED_CONCURRENCY_CAP and this check
- * reports ok.) Pure; exported for tests.
- */
-export function computeEmbedConcurrencyCheck(
-  isLocalEndpoint: boolean,
-  envValue: string | undefined,
-  localCap: number,
-): Check {
-  const name = 'embed_concurrency';
-  if (!isLocalEndpoint) {
-    return { name, status: 'ok', message: 'Embedding endpoint is not a local inference server — cloud concurrency defaults apply.' };
-  }
-  const parsed = envValue ? parseInt(envValue, 10) : NaN;
-  if (envValue && Number.isFinite(parsed) && parsed > localCap) {
-    return {
-      name,
-      status: 'warn',
-      message:
-        `GBRAIN_EMBED_CONCURRENCY=${parsed} against a local embedding endpoint. ` +
-        `Local inference servers serialize requests, so ${parsed} parallel pages multiply ` +
-        `latency x${parsed} and can exceed the fetch timeout — the embed backfill stalls ` +
-        `with no error. Unset GBRAIN_EMBED_CONCURRENCY (auto-caps at ${localCap}) or set it <= ${localCap}.`,
-    };
-  }
-  return {
-    name,
-    status: 'ok',
-    message: `Local embedding endpoint detected; embed concurrency capped at ${envValue ? parsed : localCap}.`,
-  };
-}
-
-/** Thin gateway/env wrapper over `computeEmbedConcurrencyCheck`. */
-export async function checkEmbedConcurrency(): Promise<Check> {
-  try {
-    const { isLocalEmbeddingEndpoint, LOCAL_EMBED_CONCURRENCY_CAP } = await import('../core/ai/gateway.ts');
-    return computeEmbedConcurrencyCheck(
-      isLocalEmbeddingEndpoint(),
-      process.env.GBRAIN_EMBED_CONCURRENCY,
-      LOCAL_EMBED_CONCURRENCY_CAP,
-    );
-  } catch (err) {
-    return {
-      name: 'embed_concurrency',
-      status: 'ok',
-      message: `Skipped (${err instanceof Error ? err.message : String(err)})`,
-    };
-  }
-}
-
 /** Thin env/engine wrapper over `computePoolBudgetCheck`. */
 export async function checkPoolBudget(_engine: BrainEngine): Promise<Check> {
   try {

src/commands/embed.ts

@@ -1,6 +1,5 @@
 import type { BrainEngine } from '../core/engine.ts';
 import { embedBatch, currentEmbeddingSignature } from '../core/embedding.ts';
-import { isLocalEmbeddingEndpoint, LOCAL_EMBED_CONCURRENCY_CAP } from '../core/ai/gateway.ts';
 import type { ChunkInput } from '../core/types.ts';
 import { chunkText } from '../core/chunkers/recursive.ts';
 import { createProgress, type ProgressReporter } from '../core/progress.ts';
@@ -177,31 +176,6 @@ export class EmbeddingDimMismatchError extends Error {
   }
 }
 
-/**
- * #2552: resolve the bulk-embed worker count. Env override or the
- * cloud-tuned default of 20 — but when the operator did NOT set
- * GBRAIN_EMBED_CONCURRENCY and the embedding endpoint is a local inference
- * server (Ollama / llama-server / localhost base URL), cap at
- * LOCAL_EMBED_CONCURRENCY_CAP: 20 parallel pages against a single-slot
- * server serialize on the one loaded model, multiply latency x20 past the
- * fetch timeout, and starve the backfill with no surfaced error. An
- * explicit env value always wins (`gbrain doctor` warns instead).
- * Pacing only ever LOWERS concurrency (Codex P2).
- */
-export function resolveEmbedConcurrency(paceMaxConcurrency?: number): number {
-  const envSet = !!process.env.GBRAIN_EMBED_CONCURRENCY;
-  const base = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10);
-  let resolved = base;
-  if (!envSet && isLocalEmbeddingEndpoint() && base > LOCAL_EMBED_CONCURRENCY_CAP) {
-    resolved = LOCAL_EMBED_CONCURRENCY_CAP;
-    serr(
-      `[embed] local embedding endpoint detected — capping concurrency at ` +
-      `${LOCAL_EMBED_CONCURRENCY_CAP} (set GBRAIN_EMBED_CONCURRENCY to override)`,
-    );
-  }
-  return paceMaxConcurrency ? Math.min(resolved, paceMaxConcurrency) : resolved;
-}
-
 /**
  * Pre-flight check: read the actual schema column dim and compare to the
  * gateway's resolved dim. Throws `EmbeddingDimMismatchError` on mismatch
@@ -703,8 +677,10 @@ async function embedAll(
   // Paced runs lower this to the resolved cap (the real lever vs pooler-slot
   // starvation); unpaced keeps the env/default 20. Codex P2: only ever LOWER —
   // never raise above an operator's existing env cap.
-  // #2552: local endpoints auto-cap — see resolveEmbedConcurrency.
-  const CONCURRENCY = resolveEmbedConcurrency(staleOpts?.paceMaxConcurrency);
+  const BASE_CONCURRENCY = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10);
+  const CONCURRENCY = staleOpts?.paceMaxConcurrency
+    ? Math.min(BASE_CONCURRENCY, staleOpts.paceMaxConcurrency)
+    : BASE_CONCURRENCY;
 
   async function embedOnePage(page: typeof pages[number]) {
     // #1737: bail before doing any work for this page if the run was aborted.
@@ -879,8 +855,10 @@ async function embedAllStale(
   // Paced runs lower concurrency to the resolved cap (E-1: worker count IS the
   // lever on this single pool, no separate permit). Codex P2: pacing only ever
   // LOWERS concurrency — never raise above an operator's existing env cap.
-  // #2552: local endpoints auto-cap — see resolveEmbedConcurrency.
-  const CONCURRENCY = resolveEmbedConcurrency(staleOpts?.paceMaxConcurrency);
+  const BASE_CONCURRENCY = parseInt(process.env.GBRAIN_EMBED_CONCURRENCY || '20', 10);
+  const CONCURRENCY = staleOpts?.paceMaxConcurrency
+    ? Math.min(BASE_CONCURRENCY, staleOpts.paceMaxConcurrency)
+    : BASE_CONCURRENCY;
   const pacer = staleOpts?.pacer ?? createNoopPacer();
 
   // D3 + D3a + D8: wall-clock budget. 30 min default; env override.

src/core/ai/gateway.ts

@@ -683,33 +683,6 @@ export function getEmbeddingDimensions(): number {
   return requireConfig().embedding_dimensions ?? DEFAULT_EMBEDDING_DIMENSIONS;
 }
 
-/**
- * #2552: cap for parallel bulk-embed workers against a local inference
- * server. A single-slot Ollama/llama-server serializes requests, so the
- * cloud-tuned 20-worker fan-out multiplies latency x20 and blows past the
- * fetch timeout with no surfaced error (the backfill silently starves).
- */
-export const LOCAL_EMBED_CONCURRENCY_CAP = 2;
-
-/**
- * #2552: true when the configured embedding model routes to a local
- * inference server — the `ollama` / `llama-server` recipes, or any recipe
- * whose base URL was explicitly pointed at localhost. Bulk callers use this
- * to pick CPU-safe concurrency defaults; `gbrain doctor` uses it to warn
- * about an explicit cloud-sized override. Fail-open: unconfigured or
- * unresolvable gateway → false (cloud behavior, the historical default).
- */
-export function isLocalEmbeddingEndpoint(): boolean {
-  try {
-    const { recipe } = resolveRecipe(getEmbeddingModel());
-    if (recipe.id === 'ollama' || recipe.id === 'llama-server') return true;
-    const base = requireConfig().base_urls?.[recipe.id] ?? '';
-    return /\/\/(localhost|127\.0\.0\.1|\[::1\])(:|\/|$)/i.test(base);
-  } catch {
-    return false;
-  }
-}
-
 /**
  * v0.28.11: returns the configured multimodal embedding model when set,
  * or undefined if the brain falls back to `embedding_model` for multimodal

src/core/ai/recipes/ollama.ts

@@ -29,17 +29,9 @@ export const ollama: Recipe = {
       trust_custom_dims: true, // #2271: local models carry varied native dims
       cost_per_1m_tokens_usd: 0,
       price_last_verified: '2026-04-20',
-      // #2552: Ollama's true batch capacity depends on the locally loaded
-      // model + OLLAMA_NUM_PARALLEL, but the previous `no_batch_cap: true`
-      // meant a whole page went out in ONE request — on a CPU-only box that
-      // multiplies latency past the fetch timeout and the backfill starves
-      // with no surfaced error. Ollama doesn't return a recognizable
-      // token-limit error either, so the recursive-halving safety net never
-      // fires; a conservative static pre-split cap is the only guard.
-      // 4096 tokens x 2 chars/token ~= 8K chars per request (code-dense
-      // pages run ~2 chars/token, not the tiktoken-ish 4).
-      max_batch_tokens: 4096,
-      chars_per_token: 2,
+      // Ollama's batch capacity depends on the locally loaded model + the
+      // OLLAMA_NUM_PARALLEL config; no static cap to declare. v0.32 (#779).
+      no_batch_cap: true,
     },
   },
   setup_hint: 'Install Ollama from https://ollama.ai, then `ollama pull nomic-embed-text` and `ollama serve`.',

src/core/config.ts

@@ -928,6 +928,10 @@ 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/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 'garry'. */
+  /** Holder to generate the profile for. Default: `calibration.user_holder` config, then 'garry'. */
   holder?: string;
   /** Inject the patterns generator (tests). */
   patternsGenerator?: PatternStatementsGenerator;
@@ -194,6 +194,26 @@ 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) {
@@ -227,7 +247,7 @@ class CalibrationProfilePhase extends BaseCyclePhase {
     _ctx: OperationContext,
     opts: CalibrationProfileOpts,
   ): Promise<{ summary: string; details: Record<string, unknown>; status?: PhaseStatus }> {
-    const holder = opts.holder ?? 'garry';
+    const holder = await resolveCalibrationHolder(engine, opts.holder);
     const promptVersion = opts.promptVersion ?? CALIBRATION_PROFILE_PROMPT_VERSION;
     const modelId = opts.model ?? TIER_DEFAULTS.reasoning;
     const gradeCompletion = opts.gradeCompletion ?? 1.0;

src/core/doctor-categories.ts

@@ -141,7 +141,6 @@ export const OPS_CHECK_NAMES: ReadonlySet<string> = new Set([
   'pgbouncer_prepare',
   'pgvector',
   'pool_budget',
-  'embed_concurrency',
   'progressive_batch_audit_health',
   'queue_health',
   'reranker_health',

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

@@ -68,11 +68,14 @@ 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'
+      WHERE (type = 'meeting' OR frontmatter ->> 'legacy_type' = 'meeting')
         AND deleted_at IS NULL
         ${sourceFilter}
       ORDER BY effective_date DESC NULLS LAST, slug`,
@@ -94,7 +97,7 @@ 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'
+        AND (pf.type = 'meeting' OR pf.frontmatter ->> 'legacy_type' = 'meeting')
         AND pf.deleted_at IS NULL
         AND pt.deleted_at IS NULL`,
   );

src/core/operations.ts

@@ -4562,7 +4562,10 @@ const list_schema_packs: Operation = {
     const { existsSync, readdirSync } = await import('node:fs');
     const { join } = await import('node:path');
     const { gbrainPath } = await import('./config.ts');
-    const bundled = ['gbrain-base', 'gbrain-recommended'];
+    // #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 installedDir = gbrainPath('schema-packs');
     const installed: string[] = [];
     if (existsSync(installedDir)) {

src/core/pglite-engine.ts

@@ -56,7 +56,7 @@ import { GBrainError, PAGE_SORT_SQL, ENRICH_ORDER_SQL } from './types.ts';
 import { finalizeLastSeen } from './chronicle/last-seen.ts';
 import { computeAnomaliesFromBuckets } from './cycle/anomaly.ts';
 import { resolveBoostMap, resolveHardExcludes } from './search/source-boost.ts';
-import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery, buildWebsearchQueryExpr } from './search/sql-ranking.ts';
+import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery } from './search/sql-ranking.ts';
 import {
   normalizeEngineColumn,
   buildVectorCastFragment,
@@ -1591,8 +1591,6 @@ export class PGLiteEngine implements BrainEngine {
     }
 
     // v0.20.0 Cathedral II Layer 10 C1/C2: language + symbol-kind filters.
-    // #2380: slash-bearing queries match both the split-word and literal
-    // slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
     const params: unknown[] = [query, innerLimit, limit, offset];
     let extraFilter = '';
     if (opts?.language) {
@@ -1632,7 +1630,6 @@ export class PGLiteEngine implements BrainEngine {
     // FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
     // — safe to interpolate into raw SQL.
     const ftsLang = getFtsLanguage();
-    const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
 
     const keywordSql =
       `WITH ranked AS (
@@ -1640,14 +1637,14 @@ export class PGLiteEngine implements BrainEngine {
            p.slug, p.id as page_id, p.title, p.type, p.source_id,
            p.effective_date, p.effective_date_source,
            cc.id as chunk_id, cc.chunk_index, cc.chunk_text, cc.chunk_source,
-           ts_rank(cc.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
+           ts_rank(cc.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
            CASE WHEN p.updated_at < (
              SELECT MAX(te.created_at) FROM timeline_entries te WHERE te.page_id = p.id
            ) THEN true ELSE false END AS stale
          FROM content_chunks cc
          JOIN pages p ON p.id = cc.page_id
          JOIN sources s ON s.id = p.source_id
-         WHERE cc.search_vector @@ ${ftsQueryExpr} ${detailFilter}${extraFilter} ${hardExcludeClause} ${visibilityClause}
+         WHERE cc.search_vector @@ websearch_to_tsquery('${ftsLang}', $1) ${detailFilter}${extraFilter} ${hardExcludeClause} ${visibilityClause}
            -- v0.27.1: hide image rows from default text-keyword search so
            -- OCR text doesn't drown text-page hits. Image-similarity queries
            -- run a separate vector path on embedding_image.
@@ -1715,10 +1712,7 @@ export class PGLiteEngine implements BrainEngine {
     // FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
     // — safe to interpolate into raw SQL.
     const ftsLang = getFtsLanguage();
-    const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
 
-    // #2380: slash-bearing queries match both the split-word and literal
-    // slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
     const params: unknown[] = [query, limit, offset];
     let extraFilter = '';
     if (opts?.type) {
@@ -1766,7 +1760,7 @@ export class PGLiteEngine implements BrainEngine {
          COALESCE(rep.chunk_index, 0) as chunk_index,
          COALESCE(rep.chunk_text, '') as chunk_text,
          COALESCE(rep.chunk_source, 'compiled_truth') as chunk_source,
-         ts_rank_cd(p.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
+         ts_rank_cd(p.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
          CASE WHEN p.updated_at < (
            SELECT MAX(te.created_at) FROM timeline_entries te WHERE te.page_id = p.id
          ) THEN true ELSE false END AS stale
@@ -1781,7 +1775,7 @@ export class PGLiteEngine implements BrainEngine {
          ORDER BY (cc.chunk_source = 'compiled_truth') DESC, cc.chunk_index ASC
          LIMIT 1
        ) rep ON true
-       WHERE p.search_vector @@ ${ftsQueryExpr}
+       WHERE p.search_vector @@ websearch_to_tsquery('${ftsLang}', $1)
          ${extraFilter} ${hardExcludeClause} ${visibilityClause}
        ORDER BY score DESC, p.id ASC
        LIMIT $2 OFFSET $3`;
@@ -1968,8 +1962,6 @@ export class PGLiteEngine implements BrainEngine {
       });
     }
 
-    // #2380: slash-bearing queries match both the split-word and literal
-    // slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
     const params: unknown[] = [query, limit, offset];
     let extraFilter = '';
     if (opts?.language) {
@@ -2004,21 +1996,20 @@ export class PGLiteEngine implements BrainEngine {
     // FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
     // — safe to interpolate into raw SQL.
     const ftsLang = getFtsLanguage();
-    const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
 
     const { rows } = await this.db.query(
       `SELECT
          p.slug, p.id as page_id, p.title, p.type, p.source_id,
          p.effective_date, p.effective_date_source,
          cc.id as chunk_id, cc.chunk_index, cc.chunk_text, cc.chunk_source,
-         ts_rank(cc.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
+         ts_rank(cc.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
          CASE WHEN p.updated_at < (
            SELECT MAX(te.created_at) FROM timeline_entries te WHERE te.page_id = p.id
          ) THEN true ELSE false END AS stale
        FROM content_chunks cc
        JOIN pages p ON p.id = cc.page_id
        JOIN sources s ON s.id = p.source_id
-       WHERE cc.search_vector @@ ${ftsQueryExpr} ${detailFilter}${extraFilter} ${hardExcludeClause} ${visibilityClause}
+       WHERE cc.search_vector @@ websearch_to_tsquery('${ftsLang}', $1) ${detailFilter}${extraFilter} ${hardExcludeClause} ${visibilityClause}
        ORDER BY score DESC
        LIMIT $2 OFFSET $3`,
       params

src/core/postgres-engine.ts

@@ -64,7 +64,7 @@ import { ConnectionManager } from './connection-manager.ts';
 import { logConnectionEvent } from './connection-audit.ts';
 import { validateSlug, contentHash, rowToPage, rowToStalePage, rowToChunk, rowToSearchResult, parseEmbedding, tryParseEmbedding, takeRowToTake, takeHitRowToHit, isUndefinedTableError, warnOncePerProcess } from './utils.ts';
 import { resolveBoostMap, resolveHardExcludes } from './search/source-boost.ts';
-import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery, buildWebsearchQueryExpr } from './search/sql-ranking.ts';
+import { buildSourceFactorCase, buildHardExcludeClause, buildVisibilityClause, buildRecencyComponentSql, buildBestPerPagePoolCte, buildOrFallbackWebsearchQuery } from './search/sql-ranking.ts';
 import { DEFAULT_EMBEDDING_MODEL, DEFAULT_EMBEDDING_DIMENSIONS } from './ai/defaults.ts';
 import { DELETE_BATCH_SIZE } from './engine-constants.ts';
 
@@ -1691,8 +1691,6 @@ export class PostgresEngine implements BrainEngine {
     const hardExcludePrefixes = resolveHardExcludes(opts?.exclude_slug_prefixes, opts?.include_slug_prefixes);
     const hardExcludeClause = buildHardExcludeClause('p.slug', hardExcludePrefixes);
 
-    // #2380: slash-bearing queries match both the split-word and literal
-    // slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
     const params: unknown[] = [query];
     let typeClause = '';
     if (type) {
@@ -1763,7 +1761,6 @@ export class PostgresEngine implements BrainEngine {
     // FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
     // — safe to interpolate into raw SQL.
     const ftsLang = getFtsLanguage();
-    const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
 
     const rawQuery = `
       WITH ranked_chunks AS (
@@ -1771,11 +1768,11 @@ export class PostgresEngine implements BrainEngine {
           p.slug, p.id as page_id, p.title, p.type, p.source_id,
           p.effective_date, p.effective_date_source,
           cc.id as chunk_id, cc.chunk_index, cc.chunk_text, cc.chunk_source,
-          ts_rank(cc.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score
+          ts_rank(cc.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score
         FROM content_chunks cc
         JOIN pages p ON p.id = cc.page_id
         JOIN sources s ON s.id = p.source_id
-        WHERE cc.search_vector @@ ${ftsQueryExpr}
+        WHERE cc.search_vector @@ websearch_to_tsquery('${ftsLang}', $1)
           ${typeClause}
           ${typesClause}
           ${excludeSlugsClause}
@@ -1866,10 +1863,7 @@ export class PostgresEngine implements BrainEngine {
     // FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
     // — safe to interpolate into raw SQL.
     const ftsLang = getFtsLanguage();
-    const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
 
-    // #2380: slash-bearing queries match both the split-word and literal
-    // slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
     const params: unknown[] = [query];
     let typeClause = '';
     if (opts?.type) {
@@ -1929,7 +1923,7 @@ export class PostgresEngine implements BrainEngine {
         COALESCE(rep.chunk_index, 0) as chunk_index,
         COALESCE(rep.chunk_text, '') as chunk_text,
         COALESCE(rep.chunk_source, 'compiled_truth') as chunk_source,
-        ts_rank_cd(p.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
+        ts_rank_cd(p.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
         false AS stale
       FROM pages p
       JOIN sources s ON s.id = p.source_id
@@ -1942,7 +1936,7 @@ export class PostgresEngine implements BrainEngine {
         ORDER BY (cc.chunk_source = 'compiled_truth') DESC, cc.chunk_index ASC
         LIMIT 1
       ) rep ON true
-      WHERE p.search_vector @@ ${ftsQueryExpr}
+      WHERE p.search_vector @@ websearch_to_tsquery('${ftsLang}', $1)
         ${typeClause}
         ${typesClause}
         ${excludeSlugsClause}
@@ -2006,8 +2000,6 @@ export class PostgresEngine implements BrainEngine {
     const hardExcludePrefixes = resolveHardExcludes(opts?.exclude_slug_prefixes, opts?.include_slug_prefixes);
     const hardExcludeClause = buildHardExcludeClause('p.slug', hardExcludePrefixes);
 
-    // #2380: slash-bearing queries match both the split-word and literal
-    // slash forms — see buildWebsearchQueryExpr in ./search/sql-ranking.ts.
     const params: unknown[] = [query];
     let typeClause = '';
     if (type) {
@@ -2068,19 +2060,18 @@ export class PostgresEngine implements BrainEngine {
     // FTS config name (e.g. 'english', 'pt_br'). Validated by getFtsLanguage()
     // — safe to interpolate into raw SQL.
     const ftsLang = getFtsLanguage();
-    const ftsQueryExpr = buildWebsearchQueryExpr(ftsLang, '$1', query);
 
     const rawQuery = `
       SELECT
         p.slug, p.id as page_id, p.title, p.type, p.source_id,
         p.effective_date, p.effective_date_source,
         cc.id as chunk_id, cc.chunk_index, cc.chunk_text, cc.chunk_source,
-        ts_rank(cc.search_vector, ${ftsQueryExpr}) * ${sourceFactorCase} AS score,
+        ts_rank(cc.search_vector, websearch_to_tsquery('${ftsLang}', $1)) * ${sourceFactorCase} AS score,
         false AS stale
       FROM content_chunks cc
       JOIN pages p ON p.id = cc.page_id
       JOIN sources s ON s.id = p.source_id
-      WHERE cc.search_vector @@ ${ftsQueryExpr}
+      WHERE cc.search_vector @@ websearch_to_tsquery('${ftsLang}', $1)
         ${typeClause}
         ${typesClause}
         ${excludeSlugsClause}

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

@@ -41,6 +41,12 @@ 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
@@ -319,6 +325,10 @@ 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
@@ -328,14 +338,24 @@ 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

@@ -91,29 +91,33 @@ 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 {
-  // 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)) {
+  if (BUNDLED_PACKS.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/sql-ranking.ts

@@ -251,28 +251,6 @@ export function buildOrFallbackWebsearchQuery(query: string): string | null {
   return tokens.join(' OR ');
 }
 
-/**
- * #2380: FTS query expression for slash-bearing queries. Postgres' default
- * text-search parser classifies `foo/bar` as a single `file`-alias lexeme —
- * on BOTH the query side and the index side. So a raw `foo/bar` query only
- * matched documents carrying the identical joined lexeme (literal paths),
- * and a slash-split query only matches documents whose text had the words
- * separated. Neither form alone covers both document shapes; OR the two
- * parses so a slash query matches prose ("foo and bar", stemmed, AND
- * semantics) AND literal slash forms ("src/core/x.ts") alike.
- *
- * Slash-free queries return the plain single-parse expression — byte-
- * identical SQL and identical ts_rank to the historical behavior.
- *
- * `ftsLang` is validated by getFtsLanguage() (safe to interpolate);
- * `param` is a `$N` placeholder, never user text.
- */
-export function buildWebsearchQueryExpr(ftsLang: string, param: string, query: string): string {
-  const plain = `websearch_to_tsquery('${ftsLang}', ${param})`;
-  if (!query.includes('/')) return plain;
-  return `(websearch_to_tsquery('${ftsLang}', translate(${param}, '/', ' ')) || ${plain})`;
-}
-
 // ============================================================
 // v0.29.1 — Recency component SQL builder
 // ============================================================

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

@@ -28,8 +28,8 @@ describe('v0.32 #779: no_batch_cap suppresses the missing-max_batch_tokens warni
     resetGateway();
   });
 
-  test('LiteLLM and llama-server declare no_batch_cap: true', () => {
-    for (const id of ['litellm', 'llama-server']) {
+  test('Ollama, LiteLLM, llama-server all declare no_batch_cap: true', () => {
+    for (const id of ['ollama', 'litellm', 'llama-server']) {
       const r = getRecipe(id);
       expect(r, `${id} not registered`).toBeDefined();
       expect(
@@ -39,18 +39,6 @@ describe('v0.32 #779: no_batch_cap suppresses the missing-max_batch_tokens warni
     }
   });
 
-  test('#2552: Ollama declares a conservative static batch cap, not no_batch_cap', () => {
-    // A CPU-only Ollama box wedges when a whole page ships in one request;
-    // Ollama never returns a token-limit error so the recursive-halving
-    // safety net can't fire. The pre-split cap is the only guard.
-    const r = getRecipe('ollama');
-    expect(r).toBeDefined();
-    const e = r!.touchpoints.embedding!;
-    expect(e.no_batch_cap).toBeUndefined();
-    expect(e.max_batch_tokens).toBe(4096);
-    expect(e.chars_per_token).toBe(2);
-  });
-
   test('configureGateway does NOT warn for ollama/litellm/llama-server', () => {
     warnSpy.mockClear();
     resetGateway();

test/calibration-profile.test.ts

@@ -32,7 +32,7 @@ interface CapturedSql {
   params: unknown[];
 }
 
-function buildMockEngine(opts: { scorecard: TakesScorecard }): {
+function buildMockEngine(opts: { scorecard: TakesScorecard; config?: Record<string, string> }): {
   engine: BrainEngine;
   captured: CapturedSql[];
 } {
@@ -42,6 +42,9 @@ function buildMockEngine(opts: { scorecard: TakesScorecard }): {
     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 [];
@@ -241,6 +244,36 @@ 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/embed-local-endpoint.serial.test.ts

@@ -1,118 +0,0 @@
-/**
- * #2552: cloud-tuned embedding defaults silently wedge CPU-only local
- * endpoints (Ollama). Three-part fix under test:
- *
- *  1. `isLocalEmbeddingEndpoint()` — gateway helper detecting local
- *     inference servers (ollama / llama-server recipes, localhost base URL).
- *  2. `resolveEmbedConcurrency()` — embed auto-caps the 20-worker fan-out
- *     at LOCAL_EMBED_CONCURRENCY_CAP for local endpoints unless the
- *     operator set GBRAIN_EMBED_CONCURRENCY explicitly.
- *  3. `computeEmbedConcurrencyCheck()` — doctor warns when an explicit env
- *     override fans out against a local endpoint.
- *
- * Serial: mutates process.env and the module-global gateway config.
- */
-
-import { afterAll, afterEach, describe, expect, test } from 'bun:test';
-import {
-  configureGateway,
-  resetGateway,
-  isLocalEmbeddingEndpoint,
-  LOCAL_EMBED_CONCURRENCY_CAP,
-} from '../src/core/ai/gateway.ts';
-import { resolveEmbedConcurrency } from '../src/commands/embed.ts';
-import { computeEmbedConcurrencyCheck } from '../src/commands/doctor.ts';
-
-const SAVED_ENV = process.env.GBRAIN_EMBED_CONCURRENCY;
-
-afterEach(() => {
-  resetGateway();
-  if (SAVED_ENV === undefined) delete process.env.GBRAIN_EMBED_CONCURRENCY;
-  else process.env.GBRAIN_EMBED_CONCURRENCY = SAVED_ENV;
-});
-
-afterAll(() => {
-  resetGateway();
-});
-
-describe('#2552 isLocalEmbeddingEndpoint', () => {
-  test('false when the gateway is not configured (fail-open to cloud behavior)', () => {
-    resetGateway();
-    expect(isLocalEmbeddingEndpoint()).toBe(false);
-  });
-
-  test('true for the ollama recipe', () => {
-    configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} });
-    expect(isLocalEmbeddingEndpoint()).toBe(true);
-  });
-
-  test('true for the llama-server recipe', () => {
-    configureGateway({ embedding_model: 'llama-server:my-gguf', env: {} });
-    expect(isLocalEmbeddingEndpoint()).toBe(true);
-  });
-
-  test('false for a cloud recipe', () => {
-    configureGateway({
-      embedding_model: 'openai:text-embedding-3-small',
-      env: { OPENAI_API_KEY: 'fake' },
-    });
-    expect(isLocalEmbeddingEndpoint()).toBe(false);
-  });
-
-  test('true when a cloud recipe base URL is explicitly pointed at localhost', () => {
-    configureGateway({
-      embedding_model: 'openai:text-embedding-3-small',
-      env: { OPENAI_API_KEY: 'fake' },
-      base_urls: { openai: 'http://localhost:8080/v1' },
-    });
-    expect(isLocalEmbeddingEndpoint()).toBe(true);
-  });
-});
-
-describe('#2552 resolveEmbedConcurrency', () => {
-  test('caps at LOCAL_EMBED_CONCURRENCY_CAP for a local endpoint when env is unset', () => {
-    delete process.env.GBRAIN_EMBED_CONCURRENCY;
-    configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} });
-    expect(resolveEmbedConcurrency()).toBe(LOCAL_EMBED_CONCURRENCY_CAP);
-  });
-
-  test('explicit env override always wins, even against a local endpoint', () => {
-    process.env.GBRAIN_EMBED_CONCURRENCY = '10';
-    configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} });
-    expect(resolveEmbedConcurrency()).toBe(10);
-  });
-
-  test('cloud endpoints keep the historical default of 20', () => {
-    delete process.env.GBRAIN_EMBED_CONCURRENCY;
-    configureGateway({ env: { OPENAI_API_KEY: 'fake' } });
-    expect(resolveEmbedConcurrency()).toBe(20);
-  });
-
-  test('pacing only ever lowers concurrency', () => {
-    delete process.env.GBRAIN_EMBED_CONCURRENCY;
-    configureGateway({ embedding_model: 'ollama:nomic-embed-text', env: {} });
-    expect(resolveEmbedConcurrency(1)).toBe(1);
-    expect(resolveEmbedConcurrency(16)).toBe(LOCAL_EMBED_CONCURRENCY_CAP);
-  });
-});
-
-describe('#2552 computeEmbedConcurrencyCheck (doctor)', () => {
-  test('ok for non-local endpoints', () => {
-    expect(computeEmbedConcurrencyCheck(false, '20', 2).status).toBe('ok');
-  });
-
-  test('warn when an explicit override exceeds the local cap', () => {
-    const check = computeEmbedConcurrencyCheck(true, '20', 2);
-    expect(check.status).toBe('warn');
-    expect(check.message).toContain('GBRAIN_EMBED_CONCURRENCY=20');
-  });
-
-  test('ok when env is unset against a local endpoint (auto-cap applies)', () => {
-    expect(computeEmbedConcurrencyCheck(true, undefined, 2).status).toBe('ok');
-  });
-
-  test('ok when the override is at or under the cap', () => {
-    expect(computeEmbedConcurrencyCheck(true, '2', 2).status).toBe('ok');
-    expect(computeEmbedConcurrencyCheck(true, '1', 2).status).toBe('ok');
-  });
-});

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

@@ -0,0 +1,106 @@
+// #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

@@ -152,6 +152,19 @@ 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/pglite-engine.test.ts

@@ -216,67 +216,6 @@ describe('PGLiteEngine: Search', () => {
     expect(results.length).toBe(0);
   });
 
-  // Regression (#2380): queries containing `/` used to bypass FTS AND
-  // semantics. Postgres' default text-search parser classifies `foo/bar` as
-  // a `file`-alias token mapped to the `simple` dictionary, so it became a
-  // single un-stemmed lexeme `'foo/bar'` that never matches indexed text —
-  // the primary FTS pass returned 0 and the OR fallback took over, matching
-  // pages that contain EITHER term. searchKeyword/searchTitles now normalize
-  // `/` to whitespace before websearch_to_tsquery parses, so the primary
-  // AND pass matches directly.
-  test('searchKeyword: slash query matches with AND semantics, not OR fallback', async () => {
-    // Decoy shares only ONE of the two query terms ('enterprise').
-    await engine.putPage('concepts/enterprise-pricing', {
-      type: 'concept', title: 'Widget Pricing',
-      compiled_truth: 'Enterprise pricing for widgets.',
-    });
-    await engine.upsertChunks('concepts/enterprise-pricing', [
-      { chunk_index: 0, chunk_text: 'Enterprise pricing for widgets', chunk_source: 'compiled_truth' },
-    ]);
-
-    // Both terms co-occur only in the novamind chunk. Pre-fix this returned
-    // BOTH pages (primary pass zero-hit → OR fallback); post-fix the primary
-    // AND pass returns exactly the co-occurrence page.
-    const results = await engine.searchKeyword('NovaMind/enterprise');
-    expect(results.length).toBe(1);
-    expect(results[0].slug).toBe('companies/novamind');
-  });
-
-  test('searchTitles: slash query matches with AND semantics, not OR fallback', async () => {
-    await engine.putPage('companies/novamind-enterprise', {
-      type: 'company', title: 'NovaMind Enterprise Platform',
-      compiled_truth: 'Placeholder body.',
-    });
-    await engine.putPage('guides/enterprise-sales', {
-      type: 'concept', title: 'Enterprise Sales Guide',
-      compiled_truth: 'Placeholder body.',
-    });
-
-    // Pre-fix: `NovaMind/Enterprise` parsed as one file-alias lexeme → the
-    // primary title pass returned 0 and the OR fallback matched BOTH titles.
-    const results = await engine.searchTitles('NovaMind/Enterprise');
-    expect(results.length).toBe(1);
-    expect(results[0].slug).toBe('companies/novamind-enterprise');
-  });
-
-  test('searchKeyword: slash query still matches the literal slash form (file paths)', async () => {
-    // The INDEX side also emits the joined file-alias lexeme for literal
-    // `foo/bar` text, so a query normalized to split words alone would go
-    // blind to documents containing the literal slash form (paths, URLs).
-    // buildWebsearchQueryExpr ORs both parses; this pins the raw arm.
-    await engine.putPage('runbooks/widget-deploy', {
-      type: 'concept', title: 'Widget Deploy Runbook',
-      compiled_truth: 'Runbook for the acme/widget deployment pipeline.',
-    });
-    await engine.upsertChunks('runbooks/widget-deploy', [
-      { chunk_index: 0, chunk_text: 'Runbook for the acme/widget deployment pipeline', chunk_source: 'compiled_truth' },
-    ]);
-
-    const results = await engine.searchKeyword('acme/widget');
-    expect(results.length).toBe(1);
-    expect(results[0].slug).toBe('runbooks/widget-deploy');
-  });
-
   test('tsvector trigger populates search_vector on insert', async () => {
     // Verify the PL/pgSQL trigger fires and content_chunks.search_vector is
     // populated from chunk_text. v0.20.0 Cathedral II Layer 3 moved FTS from

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

@@ -0,0 +1,40 @@
+// #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([]);
+  });
+});