fix(takes): keyword search matches words in long claims via word_similarity (#3267)

Both engines' searchTakes used whole-string trigram similarity
(claim % query), which structurally cannot pass the 0.3 threshold for a
short keyword against a 100-200 char claim — keyword search returned
zero results on real brains. Switch the predicate to word similarity
(query <% claim) and rank by word_similarity(query, claim), in both
postgres-engine and pglite-engine per the engine-parity invariant.
Holder allow-list and source-scope filters unchanged.

Regression test: single-word query must match a long claim containing
it (fails under the old predicate).

Fixes #3267

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

src/commands/init.ts

@@ -249,13 +249,6 @@ async function resolveAIOptions(opts: ResolveAIOptionsArgs): Promise<ResolvedAIO
 
   // --- Tier 1+2: explicit flags ---------------------------------------------
 
-  // #2301: an explicit embedding flag on THIS invocation overrides the
-  // persisted deferred-setup sentinel above. Without this, a stale
-  // `embedding_disabled: true` in config.json made every re-init defer
-  // embedding — including `gbrain init --embedding-model ...`, the exact
-  // recovery path the deferred-setup message tells users to take.
-  if (verbose || shorthand) delete out.noEmbedding;
-
   if (verbose) {
     out.embedding_model = verbose;
   } else if (shorthand) {
@@ -442,7 +435,7 @@ function printNoEmbeddingProviderHint(typos: Array<{ userSet: string; suggested:
   console.error('  gbrain init --pglite --embedding-model openai:text-embedding-3-large');
   console.error('');
   console.error('Or defer setup: gbrain init --pglite --no-embedding');
-  console.error('  (you can configure later with `gbrain init --force --embedding-model <provider>:<model>`)');
+  console.error('  (you can configure later with `gbrain config set embedding_model <id>`)');
   // D13: surface near-miss env vars (e.g. OPENAPI_API_KEY → OPENAI_API_KEY).
   if (typos.length > 0) {
     console.error('');
@@ -840,7 +833,7 @@ async function initPGLite(opts: {
   let resolvedModel: string | undefined;
   if (opts.aiOpts?.noEmbedding) {
     // D9 deferred-setup mode: skip preflight, no model/dim resolved.
-    console.log(`  --no-embedding: deferred setup — run \`gbrain init --force --embedding-model <provider>:<model>\` before import`);
+    console.log(`  --no-embedding: deferred setup — configure with \`gbrain config set embedding_model <id>\` before import`);
   } else if (opts.aiOpts?.embedding_model) {
     const { resolveSchemaEmbeddingDim } = await import('../core/embedding-dim-check.ts');
     const pre = resolveSchemaEmbeddingDim({
@@ -979,12 +972,6 @@ async function initPGLite(opts: {
       // unless explicitly overridden by --schema-pack on re-init.
       ...(opts.schemaPack ? { schema_pack: opts.schemaPack } : {}),
     };
-    // #2301: a resolved embedding model supersedes any stale deferred-setup
-    // sentinel carried over via ...existingFile — otherwise the sentinel
-    // re-defers embedding on every future init/embed forever.
-    if (!opts.aiOpts?.noEmbedding && resolvedModel && resolvedDim) {
-      delete config.embedding_disabled;
-    }
     // PR1: new installs publish their skill catalog over MCP by default
     // (existing config wins on re-init, so a prior opt-out is preserved).
     config.mcp = { publish_skills: true, ...(config.mcp ?? {}) };
@@ -1069,7 +1056,7 @@ async function initPostgres(opts: {
   let resolvedDim: number | undefined;
   let resolvedModel: string | undefined;
   if (opts.aiOpts?.noEmbedding) {
-    console.log(`  --no-embedding: deferred setup — run \`gbrain init --force --embedding-model <provider>:<model>\` before import`);
+    console.log(`  --no-embedding: deferred setup — configure with \`gbrain config set embedding_model <id>\` before import`);
   } else if (opts.aiOpts?.embedding_model) {
     const { resolveSchemaEmbeddingDim } = await import('../core/embedding-dim-check.ts');
     const pre = resolveSchemaEmbeddingDim({
@@ -1233,10 +1220,6 @@ async function initPostgres(opts: {
       // v0.42 (T17): same schema_pack default as PGLite path.
       ...(opts.schemaPack ? { schema_pack: opts.schemaPack } : {}),
     };
-    // #2301: same stale-sentinel drop as the PGLite path above.
-    if (!opts.aiOpts?.noEmbedding && resolvedModel && resolvedDim) {
-      delete config.embedding_disabled;
-    }
     // PR1: new installs publish their skill catalog over MCP by default
     // (existing config wins on re-init, so a prior opt-out is preserved).
     config.mcp = { publish_skills: true, ...(config.mcp ?? {}) };

src/core/brainstorm/orchestrator.ts

@@ -486,9 +486,44 @@ const DEFAULT_PARALLELISM = 4;
  * src/core/errors.ts (the v0.19.0 envelope every new agent-facing
  * surface uses) rather than introducing a new BrainstormError class.
  */
+/** File-config slice the orchestrator reads (see loadConfig in core/config.ts). */
+export interface BrainstormRunConfig {
+  embedding_model?: string;
+  chat_model?: string;
+  emotional_weight?: { user_holder?: string };
+}
+
+/**
+ * Model used for the cost preview + hard cost ceiling. Mirrors what the
+ * gateway will actually run: explicit --model override, else the configured
+ * chat_model (gateway default), else the hardcoded gateway fallback. Before
+ * this resolved through config, a non-Sonnet chat_model got its preview
+ * priced against the wrong model. (Takeover of PR #1855 by @starm2010.)
+ */
+export function resolveBrainstormChatModel(
+  config: { chat_model?: string },
+  modelOverride?: string,
+): string {
+  return modelOverride ?? config.chat_model ?? 'anthropic:claude-sonnet-4-6';
+}
+
+/**
+ * Judge-phase model precedence: --judge-model flag, else the
+ * `models.brainstorm.judge` config key, else undefined (falls back to
+ * `modelOverride` then the gateway default at the runJudge callsite).
+ */
+export async function resolveBrainstormJudgeModel(
+  engine: BrainEngine,
+  judgeModelFlag?: string,
+): Promise<string | undefined> {
+  if (judgeModelFlag) return judgeModelFlag;
+  const configured = await engine.getConfig('models.brainstorm.judge');
+  return configured ?? undefined;
+}
+
 export async function runBrainstorm(
   engine: BrainEngine,
-  config: { embedding_model?: string; emotional_weight?: { user_holder?: string } },
+  config: BrainstormRunConfig,
   opts: BrainstormOptions
 ): Promise<BrainstormResult> {
   // v0.39.3.0 (Phase 5, CV11+T4): outer try/catch around the orchestrator
@@ -510,7 +545,7 @@ export async function runBrainstorm(
 
 async function runBrainstormImpl(
   engine: BrainEngine,
-  config: { embedding_model?: string; emotional_weight?: { user_holder?: string } },
+  config: BrainstormRunConfig,
   opts: BrainstormOptions,
 ): Promise<BrainstormResult> {
   // v0.39.0.0 T10: install a gateway-layer BudgetTracker scope around the
@@ -530,7 +565,7 @@ async function runBrainstormImpl(
 
 async function _runBrainstormInner(
   engine: BrainEngine,
-  config: { embedding_model?: string; emotional_weight?: { user_holder?: string } },
+  config: BrainstormRunConfig,
   opts: BrainstormOptions,
 ): Promise<BrainstormResult> {
   const profile = opts.profile ?? BRAINSTORM_PROFILE;
@@ -539,7 +574,7 @@ async function _runBrainstormInner(
   const embedFn = opts.embedQueryFn ?? embedQuery;
 
   // ---- Phase 0: cost preview + TTY grace ----
-  const modelStr = opts.modelOverride ?? 'anthropic:claude-sonnet-4-6';
+  const modelStr = resolveBrainstormChatModel(config, opts.modelOverride);
   const { aborted, estimate } = await previewCostAndWait({
     profile,
     model: modelStr,
@@ -848,7 +883,7 @@ async function _runBrainstormInner(
       far_slug: i.far_slug,
     }));
     const judgeResult = await runJudge(profile.judge_config, judgeInput, {
-      modelOverride: opts.judgeModel ?? opts.modelOverride,
+      modelOverride: (await resolveBrainstormJudgeModel(engine, opts.judgeModel)) ?? opts.modelOverride,
       chatFn: opts.chatFn,
       activeBiasTags: activeBiasTags ?? undefined,
       abortSignal: opts.abortSignal,

src/core/config.ts

@@ -962,6 +962,7 @@ export const KNOWN_CONFIG_KEYS: readonly string[] = [
   'models.subagent',
   'models.expansion',
   'models.chat',
+  'models.brainstorm.judge',
   'models.eval.longmemeval',
   'facts.extraction_model',
   // #2113: output-token cap for the per-turn facts extractor (default 4000).

src/core/cycle/propose-takes.ts

@@ -39,11 +39,11 @@
 
 import { randomUUID, createHash } from 'node:crypto';
 import { BaseCyclePhase, type ScopedReadOpts, type BasePhaseOpts } from './base-phase.ts';
-import { chat as gatewayChat, getChatModel } from '../ai/gateway.ts';
+import { chat as gatewayChat, getChatModel, probeChatModel } from '../ai/gateway.ts';
+import { normalizeModelId } from '../model-id.ts';
 import { writeReceipt } from '../extract/receipt-writer.ts';
 import { upsertExtractRollup } from '../extract/rollup-writer.ts';
 import { GBrainError } from '../types.ts';
-import type { Page, PageFilters } from '../types.ts';
 import type { OperationContext } from '../operations.ts';
 import type { BrainEngine } from '../engine.ts';
 import type { PhaseStatus, CyclePhase } from '../cycle.ts';
@@ -160,6 +160,48 @@ export interface ProposeTakesResult {
   warnings: string[];
 }
 
+/** Narrow projection of `pages` — the only columns this phase reads. */
+interface ProposeTakesPageRow {
+  slug: string;
+  source_id: string;
+  compiled_truth: string | null;
+}
+
+/**
+ * Load proposal candidates with a narrow projection instead of
+ * `engine.listPages` (`SELECT p.*`). The phase only reads slug, source_id
+ * and compiled_truth — skipping timeline/frontmatter/title keeps large
+ * toasted columns out of the hot path. Scope precedence mirrors
+ * `sourceScopeOpts`: federated array (`sourceIds`) beats scalar
+ * (`sourceId`); ordering matches `PAGE_SORT_SQL.updated_desc` with an id
+ * tiebreak for determinism. (Takeover of PR #1979's projection by
+ * @shawnduggan.)
+ */
+async function listCandidatePages(
+  engine: BrainEngine,
+  scope: ScopedReadOpts,
+  limit: number,
+): Promise<ProposeTakesPageRow[]> {
+  const where = ['deleted_at IS NULL'];
+  const params: unknown[] = [];
+  if (scope.sourceIds && scope.sourceIds.length > 0) {
+    params.push(scope.sourceIds);
+    where.push(`source_id = ANY($${params.length}::text[])`);
+  } else if (scope.sourceId) {
+    params.push(scope.sourceId);
+    where.push(`source_id = $${params.length}`);
+  }
+  params.push(limit);
+  return engine.executeRaw<ProposeTakesPageRow>(
+    `SELECT slug, source_id, compiled_truth
+       FROM pages
+      WHERE ${where.join(' AND ')}
+      ORDER BY updated_at DESC, id DESC
+      LIMIT $${params.length}`,
+    params,
+  );
+}
+
 /**
  * Compute the content_hash key for the idempotency cache. SHA-256 of the
  * page body suffices — page slug + prompt_version are separate columns in
@@ -330,6 +372,34 @@ class ProposeTakesPhase extends BaseCyclePhase {
     const phaseStartMs = Date.now();
     const proposalRunId = `propose-${new Date().toISOString().slice(0, 19).replace(/[-:T]/g, '')}-${randomUUID().slice(0, 8)}`;
 
+    const modelId = opts.model ?? getChatModel();
+
+    // With the default (gateway) extractor, skip cheaply when the resolved
+    // model's provider can't run — same probe semantics as patterns.ts /
+    // think/index.ts: unknown provider/model or Anthropic-without-key skips;
+    // other providers' auth surfaces lazily at chat() time. An injected
+    // extractor bypasses the gateway, so it is never gated. (Takeover of
+    // PR #1979's intent by @shawnduggan.)
+    if (!opts.extractor) {
+      const probe = probeChatModel(normalizeModelId(modelId));
+      if (!probe.ok) {
+        return {
+          summary: `propose_takes skipped: ${probe.detail}`,
+          details: {
+            reason: 'no_provider',
+            model: modelId,
+            pages_scanned: 0,
+            cache_hits: 0,
+            cache_misses: 0,
+            proposals_inserted: 0,
+            budget_exhausted: false,
+            warnings: [],
+          },
+          status: 'skipped',
+        };
+      }
+    }
+
     const result: ProposeTakesResult = {
       pages_scanned: 0,
       cache_hits: 0,
@@ -340,19 +410,12 @@ class ProposeTakesPhase extends BaseCyclePhase {
     };
 
     // Load pages eligible for proposal. Source-scoped per BaseCyclePhase.
-    const pageFilters: PageFilters = {
-      ...scope,
-      limit: pageLimit,
-      sort: 'updated_desc',
-    };
-    const pages: Page[] = await engine.listPages(pageFilters);
+    const pages = await listCandidatePages(engine, scope, pageLimit);
 
     if (opts.reporter) {
       opts.reporter.start('propose_takes.pages' as never, pages.length);
     }
 
-    const modelId = opts.model ?? getChatModel();
-
     for (const page of pages) {
       // Phase deadline check. Break (not throw) so the phase returns a
       // partial result with deadline_hit:true; work already banked stays.
@@ -509,4 +572,5 @@ export const __testing = {
   contentHash,
   hasCompleteFence,
   extractExistingTakesForDedup,
+  listCandidatePages,
 };

src/core/embedding-dim-check.ts

@@ -71,8 +71,9 @@ export function assertEmbeddingEnabled(cfg: { embedding_disabled?: boolean } | n
     throw new EmbeddingDisabledError(
       'This brain was initialized with `--no-embedding` (deferred setup).\n' +
       'Configure an embedding provider before running embed / import:\n' +
-      '  gbrain init --force --embedding-model <provider>:<model>   # re-init to size schema\n' +
-      '(`gbrain config set embedding_model` is refused — schema-sizing fields are set at init.)\n',
+      '  gbrain config set embedding_model <provider>:<model>\n' +
+      '  gbrain config set embedding_dimensions <N>\n' +
+      '  gbrain init --force --embedding-model <provider>:<model>   # re-init to size schema\n',
     );
   }
 }

src/core/pglite-engine.ts

@@ -4835,11 +4835,11 @@ export class PGLiteEngine implements BrainEngine {
     const { rows } = await this.db.query(
       `SELECT t.id AS take_id, t.page_id, p.slug AS page_slug, t.row_num,
               t.claim, t.kind, t.holder, t.weight,
-              similarity(t.claim, $1)::real AS score
+              word_similarity($1, t.claim)::real AS score
        FROM takes t
        JOIN pages p ON p.id = t.page_id
        WHERE t.active
-         AND t.claim % $1
+         AND $1 <% t.claim
          AND ($2::text[] IS NULL OR t.holder = ANY($2::text[]))
          AND ($4::text[] IS NULL OR p.source_id = ANY($4::text[]))
          AND ($5::text IS NULL OR p.source_id = $5::text)

src/core/postgres-engine.ts

@@ -4962,11 +4962,11 @@ export class PostgresEngine implements BrainEngine {
     const rows = await sql`
       SELECT t.id AS take_id, t.page_id, p.slug AS page_slug, t.row_num,
              t.claim, t.kind, t.holder, t.weight,
-             similarity(t.claim, ${query})::real AS score
+             word_similarity(${query}, t.claim)::real AS score
       FROM takes t
       JOIN pages p ON p.id = t.page_id
       WHERE t.active
-        AND t.claim % ${query}
+        AND ${query} <% t.claim
         AND (
           ${opts.takesHoldersAllowList ?? null}::text[] IS NULL
           OR t.holder = ANY(${opts.takesHoldersAllowList ?? null}::text[])

test/brainstorm/model-config.test.ts

@@ -0,0 +1,65 @@
+/**
+ * Brainstorm model configurability (takeover of PR #1855 by @starm2010).
+ *
+ * - The cost preview + hard cost ceiling price the model that will actually
+ *   run: --model override → configured chat_model → gateway fallback. Before
+ *   this, the preview always priced anthropic:claude-sonnet-4-6 even when
+ *   the configured chat_model was something else.
+ * - The judge phase honors the `models.brainstorm.judge` config key when no
+ *   --judge-model flag is passed.
+ */
+
+import { describe, test, expect } from 'bun:test';
+import {
+  resolveBrainstormChatModel,
+  resolveBrainstormJudgeModel,
+} from '../../src/core/brainstorm/orchestrator.ts';
+import type { BrainEngine } from '../../src/core/engine.ts';
+
+function mockEngine(configValues: Record<string, string>): { engine: BrainEngine; reads: string[] } {
+  const reads: string[] = [];
+  const engine = {
+    async getConfig(key: string): Promise<string | null> {
+      reads.push(key);
+      return configValues[key] ?? null;
+    },
+  } as unknown as BrainEngine;
+  return { engine, reads };
+}
+
+describe('resolveBrainstormChatModel', () => {
+  test('--model override wins over config', () => {
+    expect(resolveBrainstormChatModel({ chat_model: 'openai:gpt-5' }, 'anthropic:claude-opus-4-6'))
+      .toBe('anthropic:claude-opus-4-6');
+  });
+
+  test('configured chat_model wins over the hardcoded fallback', () => {
+    expect(resolveBrainstormChatModel({ chat_model: 'openai:gpt-5' }))
+      .toBe('openai:gpt-5');
+  });
+
+  test('falls back to the gateway default model when nothing is configured', () => {
+    expect(resolveBrainstormChatModel({})).toBe('anthropic:claude-sonnet-4-6');
+  });
+});
+
+describe('resolveBrainstormJudgeModel', () => {
+  test('--judge-model flag wins without touching config', async () => {
+    const { engine, reads } = mockEngine({ 'models.brainstorm.judge': 'openai:gpt-5' });
+    const out = await resolveBrainstormJudgeModel(engine, 'anthropic:claude-opus-4-6');
+    expect(out).toBe('anthropic:claude-opus-4-6');
+    expect(reads).toHaveLength(0);
+  });
+
+  test('models.brainstorm.judge config key is honored when no flag is passed', async () => {
+    const { engine, reads } = mockEngine({ 'models.brainstorm.judge': 'openai:gpt-5' });
+    const out = await resolveBrainstormJudgeModel(engine);
+    expect(out).toBe('openai:gpt-5');
+    expect(reads).toEqual(['models.brainstorm.judge']);
+  });
+
+  test('returns undefined (defer to modelOverride / gateway default) when unset', async () => {
+    const { engine } = mockEngine({});
+    expect(await resolveBrainstormJudgeModel(engine)).toBeUndefined();
+  });
+});

test/e2e/init-reinit-after-deferred.test.ts

@@ -1,111 +0,0 @@
-/**
- * #2301 — re-init with an explicit --embedding-model must recover a brain
- * that was initialized with --no-embedding (deferred setup).
- *
- * Pre-fix: resolveAIOptions honored the persisted `embedding_disabled: true`
- * sentinel BEFORE the explicit flag and never cleared noEmbedding, and the
- * persistence merge carried the sentinel forward via ...existingFile. Result:
- * every re-init (including the recovery command the deferred-setup error
- * itself recommends) silently re-deferred embedding, forever.
- *
- * Hermetic: in-process runInit, GBRAIN_HOME pinned to a tmpdir (same pattern
- * as test/e2e/fresh-install-pglite.test.ts).
- */
-
-import { afterEach, beforeEach, describe, expect, test } from 'bun:test';
-import { mkdtempSync, rmSync, readFileSync } from 'fs';
-import { tmpdir } from 'os';
-import { join } from 'path';
-import { configureGateway, resetGateway } from '../../src/core/ai/gateway.ts';
-
-describe('E2E: re-init with --embedding-model after --no-embedding init (#2301)', () => {
-  let tmpHome: string;
-  let origHome: string | undefined;
-  let origZeKey: string | undefined;
-  let origOpenaiKey: string | undefined;
-  let origVoyageKey: string | undefined;
-
-  beforeEach(() => {
-    tmpHome = mkdtempSync(join(tmpdir(), 'gbrain-e2e-reinit-'));
-    origHome = process.env.GBRAIN_HOME;
-    origZeKey = process.env.ZEROENTROPY_API_KEY;
-    origOpenaiKey = process.env.OPENAI_API_KEY;
-    origVoyageKey = process.env.VOYAGE_API_KEY;
-    delete process.env.OPENAI_API_KEY;
-    delete process.env.VOYAGE_API_KEY;
-    process.env.GBRAIN_HOME = tmpHome;
-    process.env.ZEROENTROPY_API_KEY = 'sk-test-ze';
-    resetGateway();
-  });
-
-  afterEach(() => {
-    rmSync(tmpHome, { recursive: true, force: true });
-    if (origHome === undefined) delete process.env.GBRAIN_HOME;
-    else process.env.GBRAIN_HOME = origHome;
-    if (origZeKey === undefined) delete process.env.ZEROENTROPY_API_KEY;
-    else process.env.ZEROENTROPY_API_KEY = origZeKey;
-    if (origOpenaiKey !== undefined) process.env.OPENAI_API_KEY = origOpenaiKey;
-    if (origVoyageKey !== undefined) process.env.VOYAGE_API_KEY = origVoyageKey;
-    // Restore legacy-preload gateway state (mirrors fresh-install-pglite.test.ts).
-    configureGateway({
-      embedding_model: 'openai:text-embedding-3-large',
-      embedding_dimensions: 1536,
-      env: { ...process.env },
-    });
-  });
-
-  async function runInitCapturing(args: string[]): Promise<string> {
-    const { runInit } = await import('../../src/commands/init.ts');
-    const origLog = console.log;
-    const origWarn = console.warn;
-    const stdoutBuf: string[] = [];
-    console.log = (...a: unknown[]) => {
-      stdoutBuf.push(a.map(x => (typeof x === 'string' ? x : JSON.stringify(x))).join(' '));
-    };
-    console.warn = () => {};
-    try {
-      await runInit(args);
-    } finally {
-      console.log = origLog;
-      console.warn = origWarn;
-    }
-    return stdoutBuf.join('\n');
-  }
-
-  const cfgPath = () => join(tmpHome, '.gbrain', 'config.json');
-  const readCfg = () => JSON.parse(readFileSync(cfgPath(), 'utf-8'));
-
-  test('explicit --embedding-model clears the persisted embedding_disabled sentinel', async () => {
-    // Step 1: deferred-setup init writes the sentinel.
-    const out1 = await runInitCapturing(['--pglite', '--non-interactive', '--no-embedding']);
-    expect(out1).toContain('deferred setup');
-    const cfg1 = readCfg();
-    expect(cfg1.embedding_disabled).toBe(true);
-    expect(cfg1.embedding_model).toBeUndefined();
-
-    // Step 2: re-init with an explicit embedding model — the recovery path.
-    // Pre-fix this printed the deferred-setup line again and re-persisted
-    // embedding_disabled: true.
-    const out2 = await runInitCapturing([
-      '--pglite', '--non-interactive', '--skip-embed-check',
-      '--embedding-model', 'zeroentropyai:zembed-1',
-      '--embedding-dimensions', '1280',
-    ]);
-    expect(out2).not.toContain('deferred setup');
-    expect(out2).toContain('zeroentropyai:zembed-1');
-
-    const cfg2 = readCfg();
-    expect(cfg2.embedding_model).toBe('zeroentropyai:zembed-1');
-    expect(cfg2.embedding_dimensions).toBe(1280);
-    expect(cfg2.embedding_disabled).toBeUndefined();
-  }, 60000);
-
-  test('re-init WITHOUT flags still honors the deferred-setup sentinel (no regression)', async () => {
-    await runInitCapturing(['--pglite', '--non-interactive', '--no-embedding']);
-    const out = await runInitCapturing(['--pglite', '--non-interactive']);
-    expect(out).toContain('deferred setup');
-    const cfg = readCfg();
-    expect(cfg.embedding_disabled).toBe(true);
-    expect(cfg.embedding_model).toBeUndefined();
-  }, 60000);
-});

test/propose-takes.test.ts

@@ -15,6 +15,7 @@
  */
 
 import { describe, test, expect } from 'bun:test';
+import { withEnv, emptyHome } from './helpers/with-env.ts';
 import {
   runPhaseProposeTakes,
   parseExtractorOutput,
@@ -52,6 +53,14 @@ function buildMockEngine(opts: {
     },
     async executeRaw<T>(sql: string, params?: unknown[]): Promise<T[]> {
       captured.push({ sql, params: params ?? [] });
+      // Narrow candidate-page projection (replaces listPages in the phase).
+      if (sql.includes('SELECT slug, source_id, compiled_truth')) {
+        return opts.pages.map((p) => ({
+          slug: p.slug,
+          source_id: p.source_id,
+          compiled_truth: p.compiled_truth,
+        })) as T[];
+      }
       // SELECT idempotency check
       if (sql.includes('SELECT id FROM take_proposals')) {
         const [sourceId, slug, ch, pv] = params ?? [];
@@ -476,4 +485,72 @@ New prose appended here.`;
       resetGateway();
     }
   });
+
+  test('default extractor skips cleanly when the Anthropic chat model has no key', async () => {
+    // Empty GBRAIN_HOME so hasAnthropicKey's config-file fallback can't find
+    // the operator's real key.
+    await withEnv({ GBRAIN_HOME: emptyHome(), ANTHROPIC_API_KEY: undefined }, async () => {
+      configureGateway({ chat_model: 'anthropic:claude-sonnet-4-6', env: {} });
+      try {
+        const { engine, captured } = buildMockEngine({
+          pages: [buildPage({ slug: 'wiki/a', body: 'claim-ish prose' })],
+        });
+        const result = await runPhaseProposeTakes(buildCtx(engine));
+
+        expect(result.status).toBe('skipped');
+        expect((result.details as Record<string, unknown>).reason).toBe('no_provider');
+        // Skips BEFORE touching the engine — no page scan, no cache probes.
+        expect(captured).toHaveLength(0);
+      } finally {
+        resetGateway();
+      }
+    });
+  });
+
+  test('an injected extractor is never gated on provider availability', async () => {
+    await withEnv({ GBRAIN_HOME: emptyHome(), ANTHROPIC_API_KEY: undefined }, async () => {
+      configureGateway({ chat_model: 'anthropic:claude-sonnet-4-6', env: {} });
+      try {
+        const { engine } = buildMockEngine({
+          pages: [buildPage({ slug: 'wiki/b', body: 'still processed' })],
+        });
+        const extractor: ProposeTakesExtractor = async () => [];
+        const result = await runPhaseProposeTakes(buildCtx(engine), { extractor });
+
+        expect(result.status).toBe('ok');
+        expect((result.details as Record<string, unknown>).pages_scanned).toBe(1);
+      } finally {
+        resetGateway();
+      }
+    });
+  });
+
+  test('loads proposal candidates with a narrow page projection', async () => {
+    const pages = [buildPage({ slug: 'wiki/narrow', body: 'A narrow projection avoids unrelated page columns.' })];
+    const { engine, captured } = buildMockEngine({ pages });
+    const extractor: ProposeTakesExtractor = async () => [];
+    await runPhaseProposeTakes(buildCtx(engine), { extractor });
+
+    const pageSelect = captured.find(c => c.sql.includes('FROM pages'));
+    expect(pageSelect).toBeDefined();
+    expect(pageSelect!.sql).toContain('SELECT slug, source_id, compiled_truth');
+    expect(pageSelect!.sql).not.toContain('*');
+    // Scalar sourceId scope from ctx binds as a plain equality param.
+    expect(pageSelect!.params[0]).toBe('default');
+  });
+
+  test('narrow projection: federated sourceIds beat scalar sourceId', async () => {
+    const { engine, captured } = buildMockEngine({ pages: [] });
+    const extractor: ProposeTakesExtractor = async () => [];
+    const ctx = {
+      ...buildCtx(engine),
+      auth: { allowedSources: ['team-a', 'team-b'] },
+    } as OperationContext;
+    await runPhaseProposeTakes(ctx, { extractor });
+
+    const pageSelect = captured.find(c => c.sql.includes('FROM pages'));
+    expect(pageSelect).toBeDefined();
+    expect(pageSelect!.sql).toContain('source_id = ANY(');
+    expect(pageSelect!.params[0]).toEqual(['team-a', 'team-b']);
+  });
 });

test/takes-engine.test.ts

@@ -100,6 +100,22 @@ describe('searchTakes', () => {
     const worldHits = await engine.searchTakes('founder', { takesHoldersAllowList: ['world'] });
     expect(worldHits.every(h => h.holder === 'world')).toBe(true);
   });
+
+  // #3267: whole-string trigram % structurally can't match a short keyword
+  // against a long claim (similarity between the full strings stays under the
+  // 0.3 threshold). word_similarity (<%) matches the keyword against the
+  // best-matching word span instead.
+  test('single-word keyword matches a long claim containing it (#3267)', async () => {
+    await engine.addTakesBatch([
+      {
+        page_id: acmePageId, row_num: 50,
+        claim: 'Acme will consolidate the mid-market vertical SaaS landscape through disciplined acquisitions and a shared billing platform over the next five years',
+        kind: 'bet', holder: 'garry', weight: 0.6,
+      },
+    ]);
+    const hits = await engine.searchTakes('consolidate');
+    expect(hits.some(h => h.claim.includes('consolidate the mid-market'))).toBe(true);
+  });
 });
 
 describe('updateTake', () => {