fix(pricing): add openai:gpt-5.2 canonical entry for the new default slot A

DEFAULT_SLOTS slot A moved to openai:gpt-5.2, which had no CANONICAL_PRICING
entry — estimateCost silently dropped slot A from the --max-usd pre-flight
and est_cost_usd audit rows (~1/3 under-count on the default panel). Rates
from the OpenAI recipe chat touchpoint (verified 2026-04-20). Also refresh
the --slot-a-model help text default and pin a pricing-presence assertion
in the DEFAULT_SLOTS consistency test.

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

src/commands/autopilot.ts

@@ -527,6 +527,9 @@ export async function runAutopilot(engine: BrainEngine, args: string[]) {
   process.on('SIGINT',  () => { void shutdown('SIGINT'); });
 
   let consecutiveErrors = 0;
+  // Parser-probe fixture warning is once-per-process, not once-per-cycle
+  // (compiled-binary installs have no source tree; don't spam the log).
+  let parserProbeFixtureWarned = false;
   // v0.37.7.0 #1162 — counter for consecutive reconnect failures.
   // Reset on every successful health probe or reconnect. Threshold
   // controlled by GBRAIN_AUTOPILOT_MAX_RECONNECT_FAILS env (default 30).
@@ -1073,17 +1076,36 @@ export async function runAutopilot(engine: BrainEngine, args: string[]) {
     // loop. Probe runs even when cycleOk=false (probe may surface signal
     // explaining why the cycle is failing).
     try {
-      const probeEnabled = cfg?.autopilot?.nightly_quality_probe?.enabled === true;
+      const { resolveProbeEnabled, resolveProbeMaxUsd, runNightlyQualityProbe } = await import('../core/cycle/nightly-quality-probe.ts');
+      // Dual-plane read: `gbrain config set` (what the doctor enable hint
+      // prints) writes the DB plane; ~/.gbrain/config.json is the fallback.
+      let dbEnabled: string | null = null;
+      let dbMaxUsd: string | null = null;
+      try {
+        dbEnabled = await engine.getConfig('autopilot.nightly_quality_probe.enabled');
+        dbMaxUsd = await engine.getConfig('autopilot.nightly_quality_probe.max_usd');
+      } catch { /* DB unavailable → file plane only */ }
+      const probeEnabled = resolveProbeEnabled(dbEnabled, cfg?.autopilot?.nightly_quality_probe?.enabled);
       if (probeEnabled) {
-        const { runNightlyQualityProbe } = await import('../core/cycle/nightly-quality-probe.ts');
         const { runLongMemEvalForProbe, runCrossModalBatchForProbe } = await import('../core/cycle/nightly-probe-adapters.ts');
         const { isAvailable } = await import('../core/ai/gateway.ts');
-        const maxUsd = Number(cfg?.autopilot?.nightly_quality_probe?.max_usd ?? 5);
+        const { existsSync } = await import('node:fs');
+        const { fileURLToPath } = await import('node:url');
+        const { join } = await import('node:path');
+        const maxUsd = resolveProbeMaxUsd(dbMaxUsd, cfg?.autopilot?.nightly_quality_probe?.max_usd);
+        // The committed fixture (test/fixtures/longmemeval-nightly.jsonl)
+        // lives in the gbrain PACKAGE, not the brain repo — repoPath is
+        // sync.repo_path (the user's brain), where the fixture never
+        // exists, so the probe error'd on every real install. Resolve the
+        // package root from the module location; keep repoPath as the
+        // fallback for setups that vendor the fixture into the brain repo.
+        const pkgRoot = fileURLToPath(new URL('../..', import.meta.url));
+        const fixtureAtPkgRoot = existsSync(join(pkgRoot, 'test', 'fixtures', 'longmemeval-nightly.jsonl'));
         await runNightlyQualityProbe({
           isEnabled: () => true, // already gated above; phase re-checks for defense-in-depth
           hasEmbeddingProvider: () => isAvailable('embedding'),
           resolveMaxUsd: () => maxUsd,
-          resolveRepoRoot: () => repoPath ?? gbrainHomePath('.'),
+          resolveRepoRoot: () => (fixtureAtPkgRoot ? pkgRoot : repoPath ?? gbrainHomePath('.')),
           runLongMemEval: runLongMemEvalForProbe,
           runCrossModalBatch: runCrossModalBatchForProbe,
           now: () => new Date(),
@@ -1095,6 +1117,62 @@ export async function runAutopilot(engine: BrainEngine, args: string[]) {
       // informational; autopilot loop continues.
     }
 
+    // 4.6 — Nightly conversation-parser probe (v0.41.16.0 phase module;
+    // the scheduler wire-up was deferred at ship and is added here). Same
+    // posture as 4.5: the phase owns its gates (enabled/mode-gate, LLM
+    // key), the wiring owns invocation + the audit row, and a probe
+    // failure NEVER crashes the autopilot loop. Per D10 the probe is
+    // default-ON for search.mode=tokenmax, opt-in otherwise.
+    try {
+      const { runConversationParserNightlyProbe } = await import('../core/conversation-parser/nightly-probe.ts');
+      const { logParserProbeEvent, parserProbeRanWithin } = await import('../core/audit-parser-probe.ts');
+      const { isAvailable } = await import('../core/ai/gateway.ts');
+      const { existsSync } = await import('node:fs');
+      const { fileURLToPath } = await import('node:url');
+      const { join } = await import('node:path');
+      // Flag reads dual-plane: the DB row (`gbrain config set …`) wins,
+      // ~/.gbrain/config.json is the fallback. search.mode lives on the
+      // DB plane only (mode.ts owns it).
+      let parserDbEnabled: string | null = null;
+      let dbSearchMode: string | null = null;
+      try {
+        parserDbEnabled = await engine.getConfig('autopilot.conversation_parser_probe.enabled');
+        dbSearchMode = await engine.getConfig('search.mode');
+      } catch { /* DB unavailable → file plane only */ }
+      const parserEnabled = parserDbEnabled != null
+        ? parserDbEnabled === 'true'
+        : cfg?.autopilot?.conversation_parser_probe?.enabled === true;
+      const searchMode = dbSearchMode ?? '';
+      // Fixtures are committed in the gbrain package (test/fixtures/…),
+      // NOT the brain repo — resolve from the module location. Compiled
+      // binaries carry no source tree: skip quietly instead of writing
+      // failure rows that would flip doctor to WARN on every binary install.
+      const pkgRoot = fileURLToPath(new URL('../..', import.meta.url));
+      const fixturePath = join(pkgRoot, 'test', 'fixtures', 'conversation-formats', 'all.jsonl');
+      const adversarialPath = join(pkgRoot, 'test', 'fixtures', 'conversation-formats', 'adversarial.jsonl');
+      const shouldInvoke = parserEnabled || searchMode === 'tokenmax';
+      if (shouldInvoke && existsSync(fixturePath) && existsSync(adversarialPath)) {
+        const result = await runConversationParserNightlyProbe({
+          isEnabled: () => parserEnabled,
+          searchMode: () => searchMode,
+          hasLlmKey: () => isAvailable('chat'),
+          resolveFixturePath: () => fixturePath,
+          resolveAdversarialPath: () => adversarialPath,
+          now: () => new Date(),
+          shouldSkipForRateLimit: () => parserProbeRanWithin(24 * 60 * 60 * 1000),
+        });
+        // rate_limited is a non-run: the loop ticks every few minutes, so
+        // logging every skip would flood the audit file with no-signal rows.
+        if (result.outcome !== 'rate_limited') logParserProbeEvent(result);
+      } else if (shouldInvoke && !parserProbeFixtureWarned) {
+        parserProbeFixtureWarned = true;
+        console.error(`[parser-probe] fixtures not found under ${pkgRoot}; skipping (probe needs a source-checkout install)`);
+      }
+    } catch (e) {
+      logError('autopilot.parser_probe', e);
+      // Informational, like 4.5: do NOT bump consecutiveErrors.
+    }
+
     // Wait for next cycle
     await new Promise(r => setTimeout(r, interval * 1000));
   }

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.
@@ -2964,6 +2960,54 @@ function _resolveSyncFreshnessHours(varName: string, fallback: number): number {
  * branch (disabled / enabled-no-events / enabled-all-pass / enabled-with-failures)
  * without spinning up the audit JSONL or a real config file.
  */
+/**
+ * Pure function form of the conversation_parser_probe_health check.
+ * Mirrors computeNightlyQualityProbeHealthCheck: skip-with-hint when the
+ * probe is off and silent, surface the last 7 days of audit events when
+ * it has run, WARN on any non-pass outcome.
+ *
+ * `effectiveEnabled` folds the D10 mode-gate in: explicitly enabled OR
+ * search.mode=tokenmax (where the probe is default-on).
+ */
+export function computeConversationParserProbeHealthCheck(
+  effectiveEnabled: boolean,
+  events: ReadonlyArray<{ outcome: string; ts: string; reason?: string }>,
+): Check {
+  const name = 'conversation_parser_probe_health';
+  if (!effectiveEnabled && events.length === 0) {
+    return {
+      name,
+      status: 'ok',
+      message:
+        'disabled (opt-in; default-on only for search.mode=tokenmax). Enable with: ' +
+        '`gbrain config set autopilot.conversation_parser_probe.enabled true`',
+    };
+  }
+  if (events.length === 0) {
+    return {
+      name,
+      status: 'ok',
+      message: 'enabled but no probe events in the last 7 days (next run by autopilot; fixtures require a source-checkout install).',
+    };
+  }
+  const bad = events.filter(e => e.outcome !== 'pass');
+  const latest = events[events.length - 1]!;
+  if (bad.length > 0) {
+    return {
+      name,
+      status: 'warn',
+      message:
+        `${bad.length}/${events.length} probe run(s) in the last 7 days did not pass; ` +
+        `latest: ${latest.outcome}${latest.reason ? ` (${latest.reason})` : ''}`,
+    };
+  }
+  return {
+    name,
+    status: 'ok',
+    message: `${events.length} probe run(s) in the last 7 days, all pass (latest ${latest.ts}).`,
+  };
+}
+
 export function computeNightlyQualityProbeHealthCheck(
   probeEnabled: boolean,
   events: ReadonlyArray<{ outcome: string; ts: string; detail?: string }>,
@@ -3819,61 +3863,6 @@ 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 {
@@ -4902,10 +4891,17 @@ export async function buildChecks(
   try {
     const { readRecentQualityProbeEvents } = await import('../core/audit-quality-probe.ts');
     const { loadConfig } = await import('../core/config.ts');
+    const { resolveProbeEnabled } = await import('../core/cycle/nightly-quality-probe.ts');
     let probeEnabled = false;
     try {
+      // Dual-plane read, matching the autopilot gate: the DB row (what the
+      // enable hint's `gbrain config set` writes) wins; file plane fallback.
+      let dbVal: string | null = null;
+      try {
+        dbVal = engine ? await engine.getConfig('autopilot.nightly_quality_probe.enabled') : null;
+      } catch { /* DB unavailable → file plane only */ }
       const cfg = loadConfig();
-      probeEnabled = Boolean((cfg as any)?.autopilot?.nightly_quality_probe?.enabled);
+      probeEnabled = resolveProbeEnabled(dbVal, (cfg as any)?.autopilot?.nightly_quality_probe?.enabled);
     } catch { /* config unavailable → treat as disabled */ }
     const events = readRecentQualityProbeEvents(7);
     const check = computeNightlyQualityProbeHealthCheck(probeEnabled, events);
@@ -5089,19 +5085,29 @@ export async function buildChecks(
 
   // 3d.5 v0.41.13.0 — conversation_parser_probe_health. Mode-gated
   // per D10: ON when search.mode=tokenmax, opt-in for other modes.
-  // Surface the last 7 days of nightly-probe events; warn on FAIL /
-  // BUDGET_EXCEEDED / adversarial_false_positive.
-  //
-  // v0.41.13.0 ships the probe as opt-in (autopilot wiring deferred
-  // to T7 in the cathedral plan); this check skips with an enable
-  // hint until the probe has at least one audit event written.
-  checks.push({
-    name: 'conversation_parser_probe_health',
-    status: 'ok',
-    message:
-      'Skipped (nightly probe is opt-in; enable with ' +
-      '`gbrain config set autopilot.conversation_parser_probe.enabled true`)',
-  });
+  // Surfaces the last 7 days of nightly-probe audit events; warn on any
+  // non-pass outcome (fail / budget_exceeded / adversarial_false_positive).
+  // (Until the autopilot wire-up this was a hardcoded "Skipped" stub.)
+  try {
+    const { readRecentParserProbeEvents } = await import('../core/audit-parser-probe.ts');
+    let parserProbeEnabled = false;
+    try {
+      let dbVal: string | null = null;
+      let dbMode: string | null = null;
+      try {
+        dbVal = engine ? await engine.getConfig('autopilot.conversation_parser_probe.enabled') : null;
+        dbMode = engine ? await engine.getConfig('search.mode') : null;
+      } catch { /* DB unavailable → file plane only */ }
+      const { loadConfig } = await import('../core/config.ts');
+      const fileVal = (loadConfig() as any)?.autopilot?.conversation_parser_probe?.enabled;
+      const flagOn = dbVal != null ? dbVal === 'true' : fileVal === true;
+      parserProbeEnabled = flagOn || dbMode === 'tokenmax';
+    } catch { /* config unavailable → treat as disabled */ }
+    const parserEvents = readRecentParserProbeEvents(7);
+    checks.push(computeConversationParserProbeHealthCheck(parserProbeEnabled, parserEvents));
+  } catch {
+    // Best-effort; audit-log read failure shouldn't stop doctor.
+  }
 
   // 3e. home_dir_in_worktree (v0.35.8.0). Walks up from `gbrainPath()`
   // looking for a `.git` directory OR file. If found, warns: `~/.gbrain/`

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/commands/eval-cross-modal.ts

@@ -76,7 +76,7 @@ FLAGS:
                            dimensions (goal, depth, sourcing, specificity, useful).
   --cycles N               1-3. Default: 3 in TTY, 1 in non-TTY (T11). Each
                            cycle is 3 model calls; verdict aggregates over them.
-  --slot-a-model <id>      Override default 'openai:gpt-4o'.
+  --slot-a-model <id>      Override default 'openai:gpt-5.2'.
   --slot-b-model <id>      Override default 'anthropic:claude-opus-4-7'.
   --slot-c-model <id>      Override default 'google:gemini-1.5-pro'.
   --receipt-dir <path>     Default: gbrainPath('eval-receipts').
@@ -468,6 +468,14 @@ interface BatchRow {
   question_id: string;
   question: string;
   hypothesis: string;
+  /**
+   * Gold answer from the benchmark dataset, when the upstream eval emits
+   * it (eval-longmemeval does). Folded into the judge task so CORRECTNESS
+   * is verifiable — without it a judge panel that sees only
+   * {question, hypothesis} cannot validate a terse factual answer against
+   * a haystack it never saw.
+   */
+  answer?: string;
 }
 
 /**
@@ -581,6 +589,7 @@ function readBatchRows(path: string): BatchReadResult {
       question_id: typeof obj.question_id === 'string' ? obj.question_id : `line-${lineNo}`,
       question: obj.question,
       hypothesis: obj.hypothesis,
+      ...(typeof obj.answer === 'string' && obj.answer.length > 0 ? { answer: obj.answer } : {}),
     });
   }
   if (summarySkipped > 0) {
@@ -697,7 +706,11 @@ async function runBatchMode(parsed: ParsedArgs, opts: RunCrossModalOpts): Promis
       fn: async (row, idx) => {
         process.stderr.write(`[eval cross-modal batch] ${idx + 1}/${rows.length} ${row.question_id} starting...\n`);
         return await runEvalFn({
-          task: row.question,
+          // With a gold answer the judges can actually verify correctness;
+          // without one they see only {question, hypothesis} and cannot.
+          task: row.answer
+            ? `${row.question}\n\nExpected answer (gold label from the benchmark dataset): ${row.answer}`
+            : row.question,
           output: row.hypothesis,
           slug: row.question_id,
           dimensions,

src/commands/eval-longmemeval.ts

@@ -33,6 +33,7 @@ import {
   type AliasMap,
 } from '../eval/longmemeval/extract.ts';
 import { extractCandidateEntities } from '../core/think/entity-extract.ts';
+import { splitProviderModelId } from '../core/model-id.ts';
 import { resolveEntitySlugWithSource, type ResolutionSource } from '../core/entities/resolve.ts';
 import { formatTrajectoryBlock } from '../core/trajectory-format.ts';
 
@@ -469,14 +470,22 @@ export async function runEvalLongMemEval(args: string[], runOpts: RunOpts = {}):
   });
 
   // Wrap Anthropic SDK so its `.messages.create` shape matches ThinkLLMClient.
-  // Same pattern as src/core/think/index.ts:247-249.
+  // Same pattern as src/core/think/index.ts:247-249 — EXCEPT think's default
+  // client routes through the gateway, which parses `provider:model` recipe
+  // ids. This eval's client is a raw SDK by design (hermetic, no gateway
+  // dependency), and resolveModel returns RECIPE ids (`anthropic:claude-…`);
+  // passing one through unstripped 404s every answer/extractor call, which
+  // surfaces downstream as all-upstream_error batches in the nightly probe.
+  const toSdkModel = (m: string): string => splitProviderModelId(m).model || m;
   const realClient = new Anthropic();
   const client: ThinkLLMClient = runOpts.client ?? {
-    create: (params, callOpts) => realClient.messages.create(params, callOpts),
+    create: (params, callOpts) =>
+      realClient.messages.create({ ...params, model: toSdkModel(params.model) }, callOpts),
   };
   // v0.40.2.0 — separate extractor client (defaults to same SDK).
   const extractorClient: ThinkLLMClient = runOpts.extractorClient ?? {
-    create: (params, callOpts) => realClient.messages.create(params, callOpts),
+    create: (params, callOpts) =>
+      realClient.messages.create({ ...params, model: toSdkModel(params.model) }, callOpts),
   };
   const trajectoryEnabled = !opts.noTrajectory;
   const extractorModel = trajectoryEnabled
@@ -751,6 +760,11 @@ async function runOneQuestion(
     // v0.40.1.0 (Track D / T2) — copy question_type into the row so the
     // by_type_summary can be rebuilt from the file on resume runs.
     question_type: q.question_type,
+    // Gold answer for downstream consumers that verify correctness (the
+    // cross-modal --batch judge folds it into the task; evaluate_qa.py
+    // ignores unknown fields). Without it a judge can't validate a terse
+    // factual hypothesis against a haystack it never saw.
+    ...(q.answer !== undefined ? { answer: q.answer } : {}),
     hypothesis,
     retrieved_session_ids: retrievedSessionIds,
     ...(recallHit !== undefined ? { recall_hit: recallHit } : {}),

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/audit-parser-probe.ts

@@ -0,0 +1,63 @@
+/**
+ * Nightly conversation-parser probe audit trail.
+ *
+ * One event per REAL probe run lands in
+ * `~/.gbrain/audit/parser-probe-YYYY-Www.jsonl` (ISO-week rotation via the
+ * shared audit-writer primitive; honors `GBRAIN_AUDIT_DIR`).
+ * Scheduler-cadence skips (`rate_limited`) are NOT logged — the autopilot
+ * loop ticks every few minutes, so logging every skip would flood the
+ * audit file with rows that carry no signal.
+ *
+ * Read by `gbrain doctor`'s `conversation_parser_probe_health` check and
+ * by the autopilot wiring's 24h rate-limit gate (`parserProbeRanWithin`).
+ */
+
+import { createAuditWriter } from './audit/audit-writer.ts';
+import type { NightlyProbeResult } from './conversation-parser/nightly-probe.ts';
+
+export type ParserProbeAuditEvent = NightlyProbeResult;
+
+const writer = createAuditWriter<ParserProbeAuditEvent>({
+  featureName: 'parser-probe',
+  errorLabel: 'gbrain',
+  errorMessagePrefix: 'parser-probe audit ',
+  errorTrailer: '; probe continues',
+});
+
+/** Append one parser-probe event. Best-effort; never throws. */
+export function logParserProbeEvent(event: ParserProbeAuditEvent): void {
+  writer.log(event);
+}
+
+/**
+ * Read recent parser-probe events (current + previous ISO week, filtered
+ * to the window). Missing files and corrupt rows are skipped silently.
+ */
+export function readRecentParserProbeEvents(
+  days = 7,
+  now: Date = new Date(),
+): ParserProbeAuditEvent[] {
+  return writer.readRecent(days, now);
+}
+
+/** Exposed for tests pinning the rotation edge cases. */
+export function computeParserProbeAuditFilename(now: Date = new Date()): string {
+  return writer.computeFilename(now);
+}
+
+/**
+ * 24h rate-limit gate for the autopilot wiring: true when any audited run
+ * happened within `windowMs` of `now`. Only REAL outcomes are audited (see
+ * module header), so a pass/fail today blocks re-runs until tomorrow while
+ * scheduler-cadence skips never extend the window.
+ */
+export function parserProbeRanWithin(
+  windowMs: number,
+  now: Date = new Date(),
+): boolean {
+  const cutoff = now.getTime() - windowMs;
+  return readRecentParserProbeEvents(2, now).some((ev) => {
+    const ts = Date.parse(ev.ts);
+    return Number.isFinite(ts) && ts >= cutoff;
+  });
+}

src/core/config.ts

@@ -105,6 +105,16 @@ export interface GBrainConfig {
        */
       max_usd?: number;
     };
+    /**
+     * v0.41.16.0 — nightly conversation-parser probe. Per D10: default ON
+     * for `search.mode=tokenmax` brains, opt-in for conservative/balanced.
+     * ~$0.05/night with the committed fixtures × Haiku polish. Gated
+     * INSIDE the autopilot tick body, like nightly_quality_probe.
+     */
+    conversation_parser_probe?: {
+      /** Enable for non-tokenmax modes. Defaults to false. */
+      enabled?: boolean;
+    };
     /**
      * v0.42.x (#1685 GAP D) — extract_atoms backlog auto-drain. Default ON so a
      * pack-gated silent backlog never piles up unseen; daily-spend-capped so the

src/core/conversation-parser/nightly-probe.ts

@@ -17,11 +17,11 @@
  * Cost: ~$0.05/night with default fixtures × Haiku polish. Bounded
  * by the active BudgetTracker the autopilot loop creates per-tick.
  *
- * **Wiring into the autopilot loop is deferred to a follow-up**
- * (filed in TODOS.md). v0.41.16.0 ships the phase as a callable
- * module so doctor + future cron drivers can invoke it; the
- * scheduler wire-up follows the same shape as
- * `src/core/cycle/nightly-quality-probe.ts` (v0.40.1.0 Track D / T6).
+ * Wired into the autopilot loop (step 4.6 in autopilot.ts), following
+ * the same shape as `src/core/cycle/nightly-quality-probe.ts`
+ * (v0.40.1.0 Track D / T6): the wiring resolves fixtures from the
+ * gbrain package root, writes real outcomes to the parser-probe audit
+ * trail (`audit-parser-probe.ts`), and never crashes the loop.
  *
  * Test seam: all dependencies are injected via NightlyProbeDeps so
  * unit tests don't touch real LLMs or real fixtures.

src/core/cross-modal-eval/runner.ts

@@ -44,7 +44,12 @@ export const DEFAULT_DIMENSIONS: string[] = [
  * `--slot-a-model`, `--slot-b-model`, `--slot-c-model` on the CLI.
  */
 export const DEFAULT_SLOTS: SlotConfig[] = [
-  { id: 'A', model: 'openai:gpt-4o' },
+  // Every default MUST be listed in its recipe's chat touchpoint (pinned by
+  // test/cross-modal-default-slots.test.ts) — `openai:gpt-4o` sat here after
+  // the OpenAI recipe dropped it, so slot A errored "not listed for OpenAI
+  // chat" on every install and the 3-slot panel could never reach its
+  // 2-model quorum without a Google key (verdict: permanently inconclusive).
+  { id: 'A', model: 'openai:gpt-5.2' },
   { id: 'B', model: 'anthropic:claude-opus-4-7' },
   { id: 'C', model: 'google:gemini-1.5-pro' },
 ];

src/core/cycle/nightly-probe-adapters.ts

@@ -70,6 +70,28 @@ export async function runLongMemEvalForProbe(args: LongMemEvalProbeArgs): Promis
  * the batch input) or unparseable (cross-modal wrote garbage). Both
  * cases are paste-ready in the error message.
  */
+/**
+ * QA-shaped judge dimensions for the nightly probe. The batch judge's
+ * DEFAULT_DIMENSIONS rubric (DEPTH / SOURCING / SPECIFICITY / …) is built
+ * for rich agent responses; LongMemEval hypotheses are deliberately terse
+ * factual answers ("in widget-co") that can never score ≥7 on DEPTH or
+ * SOURCING — so with the default rubric the probe FAILs every night even
+ * when retrieval + answering are perfectly healthy. The probe owns its
+ * invocation of the eval tool and passes dimensions matching the
+ * fixture's QA shape instead.
+ *
+ * NOTE: the `--dimensions` CLI flag splits on commas, so these dimension
+ * descriptions must stay comma-free.
+ */
+export const PROBE_QA_DIMENSIONS: string[] = [
+  // No faithfulness/grounding dimension on purpose: the judge never sees
+  // the haystack, so any accurate detail beyond the terse gold label reads
+  // as "invented" and correct answers fail (verified empirically — a
+  // correct "before + dates" answer scored 4/10 on such a dimension).
+  'CORRECTNESS — Does the hypothesis state the same fact as the expected answer? A terse direct answer is ideal.',
+  'DIRECTNESS — Does it answer THIS question without hedging or padding or answering something else?',
+];
+
 export async function runCrossModalBatchForProbe(
   args: CrossModalProbeArgs,
 ): Promise<{ exitCode: number; summary: CrossModalBatchSummary }> {
@@ -81,6 +103,8 @@ export async function runCrossModalBatchForProbe(
     args.summaryPath,
     '--max-usd',
     String(args.maxUsd),
+    '--dimensions',
+    PROBE_QA_DIMENSIONS.join(','),
     '--yes',
     '--json',
   ]);

src/core/cycle/nightly-quality-probe.ts

@@ -62,6 +62,42 @@ export interface NightlyProbeDeps {
   now: () => Date;
 }
 
+/**
+ * Dual-plane flag resolution (same precedent as `mcp.publish_skills` in
+ * serve-http.ts): the DB config row — what `gbrain config set` writes —
+ * wins when present; the file plane (~/.gbrain/config.json) is the
+ * fallback. Doctor's paste-ready enable hint says `gbrain config set
+ * autopilot.nightly_quality_probe.enabled true`, so the gate MUST read
+ * the DB plane — a file-only read turns that hint into a silent no-op.
+ */
+export function resolveProbeEnabled(
+  dbVal: string | null | undefined,
+  fileVal: unknown,
+): boolean {
+  if (dbVal != null) return dbVal === 'true';
+  return fileVal === true;
+}
+
+/**
+ * Same dual-plane rule for the per-run cost cap. Malformed or negative
+ * values on either plane fall through to the next plane / the default.
+ */
+export function resolveProbeMaxUsd(
+  dbVal: string | null | undefined,
+  fileVal: unknown,
+  fallback: number = DEFAULT_MAX_USD,
+): number {
+  if (dbVal != null) {
+    const n = Number(dbVal);
+    if (Number.isFinite(n) && n >= 0) return n;
+  }
+  if (fileVal != null) {
+    const n = Number(fileVal);
+    if (Number.isFinite(n) && n >= 0) return n;
+  }
+  return fallback;
+}
+
 /**
  * Pure function: decide whether the probe should run given the audit
  * history. Returns reason when skipping.
@@ -101,21 +137,17 @@ export async function runNightlyQualityProbe(deps: NightlyProbeDeps): Promise<Ni
     return { outcome: 'disabled', exit_code: 0, detail: 'feature flag off' };
   }
 
-  // 24h rate limit — skip + audit "rate_limited".
+  // 24h rate limit — skip WITHOUT an audit row. The autopilot loop invokes
+  // the probe every cycle (~5-10 min), so all but one invocation per day
+  // lands here; logging each skip floods the audit file (~hundreds of
+  // rows/day) and — because doctor treats any non-pass outcome as bad
+  // signal — flips nightly_quality_probe_health to a permanent WARN the
+  // moment the probe is enabled. A skip is a non-event: the real runs are
+  // the signal, and their rows are what gates the next 24h window.
   const now = deps.now();
   const recent = readRecentQualityProbeEvents(2, now); // 2-day window is enough for 24h check
   const decision = shouldRunNightly(now, recent);
   if (!decision.run) {
-    logQualityProbeEvent({
-      outcome: 'rate_limited',
-      exit_code: 0,
-      pass_count: 0,
-      fail_count: 0,
-      inconclusive_count: 0,
-      error_count: 0,
-      est_cost_usd: 0,
-      detail: 'already ran within 24h window',
-    });
     return { outcome: 'rate_limited', exit_code: 0, detail: 'already ran within 24h' };
   }
 

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/model-pricing.ts

@@ -75,6 +75,11 @@ export const CANONICAL_PRICING: Record<string, ModelPricing> = {
   'openai:gpt-4o':                        { input:  2.50, output: 10.00 },
   'openai:gpt-4o-mini':                   { input:  0.15, output:  0.60 },
   'openai:gpt-5':                         { input:  5.00, output: 20.00 },
+  // gpt-5.2: rates from the OpenAI recipe chat touchpoint (verified
+  // 2026-04-20). Needed here because it's the cross-modal DEFAULT_SLOTS
+  // slot-A model — without a canonical entry estimateCost silently drops
+  // slot A from the --max-usd pre-flight and est_cost_usd audit rows.
+  'openai:gpt-5.2':                       { input:  1.25, output: 10.00 },
   'openai:gpt-5.5':                       { input:  4.00, output: 16.00 },
 
   // ── Google ─────────────────────────────────────────────────────────────

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/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/audit-parser-probe.serial.test.ts

@@ -0,0 +1,102 @@
+/**
+ * Tests for the parser-probe audit trail + the 24h rate-limit gate.
+ *
+ * Uses GBRAIN_AUDIT_DIR override pointed at a tmpdir for hermeticity
+ * (same pattern as audit-slug-fallback.serial.test.ts). Serial because
+ * the env override is process-global.
+ */
+import { afterEach, beforeEach, describe, expect, test } from 'bun:test';
+import { mkdtempSync, rmSync, readdirSync } from 'node:fs';
+import { tmpdir } from 'node:os';
+import { join } from 'node:path';
+
+import {
+  computeParserProbeAuditFilename,
+  logParserProbeEvent,
+  parserProbeRanWithin,
+  readRecentParserProbeEvents,
+  type ParserProbeAuditEvent,
+} from '../src/core/audit-parser-probe.ts';
+
+let auditDir: string;
+let savedEnv: string | undefined;
+
+beforeEach(() => {
+  auditDir = mkdtempSync(join(tmpdir(), 'parser-probe-audit-'));
+  savedEnv = process.env.GBRAIN_AUDIT_DIR;
+  process.env.GBRAIN_AUDIT_DIR = auditDir;
+});
+
+afterEach(() => {
+  if (savedEnv === undefined) delete process.env.GBRAIN_AUDIT_DIR;
+  else process.env.GBRAIN_AUDIT_DIR = savedEnv;
+  rmSync(auditDir, { recursive: true, force: true });
+});
+
+function makeEvent(overrides: Partial<ParserProbeAuditEvent> = {}): ParserProbeAuditEvent {
+  return {
+    schema_version: 1,
+    ts: new Date().toISOString(),
+    outcome: 'pass',
+    fixtures_total: 12,
+    fixtures_passed: 12,
+    recall_mean: 0.98,
+    participants_recall_mean: 0.97,
+    adversarial_false_positives: 0,
+    failed_fixture_ids: [],
+    ...overrides,
+  };
+}
+
+describe('parser-probe audit trail', () => {
+  test('log + readRecent round-trip', () => {
+    logParserProbeEvent(makeEvent({ outcome: 'fail', reason: '2 fixture(s) failed' }));
+    const events = readRecentParserProbeEvents(7);
+    expect(events.length).toBe(1);
+    expect(events[0]!.outcome).toBe('fail');
+    expect(events[0]!.reason).toBe('2 fixture(s) failed');
+    const files = readdirSync(auditDir);
+    expect(files.length).toBe(1);
+    expect(files[0]).toMatch(/^parser-probe-\d{4}-W\d{2}\.jsonl$/);
+  });
+
+  test('filename uses ISO-week rotation with the parser-probe prefix', () => {
+    // Year-boundary edge pinned by the shared writer's own tests; here we
+    // pin the prefix wiring.
+    expect(computeParserProbeAuditFilename(new Date('2026-07-06T12:00:00Z'))).toBe(
+      'parser-probe-2026-W28.jsonl',
+    );
+  });
+
+  test('readRecent filters by window', () => {
+    const old = new Date(Date.now() - 10 * 86400000).toISOString();
+    logParserProbeEvent(makeEvent({ ts: old }));
+    expect(readRecentParserProbeEvents(7).length).toBe(0);
+  });
+});
+
+describe('parserProbeRanWithin — 24h rate-limit gate', () => {
+  const DAY_MS = 24 * 60 * 60 * 1000;
+
+  test('false when no runs are audited', () => {
+    expect(parserProbeRanWithin(DAY_MS)).toBe(false);
+  });
+
+  test('true when a run landed within the window', () => {
+    logParserProbeEvent(makeEvent({ ts: new Date(Date.now() - 60_000).toISOString() }));
+    expect(parserProbeRanWithin(DAY_MS)).toBe(true);
+  });
+
+  test('false when the last run is older than the window', () => {
+    logParserProbeEvent(makeEvent({ ts: new Date(Date.now() - 25 * 3600_000).toISOString() }));
+    expect(parserProbeRanWithin(DAY_MS)).toBe(false);
+  });
+
+  test('non-pass outcomes also hold the window (mirrors quality-probe semantics)', () => {
+    logParserProbeEvent(makeEvent({
+      outcome: 'no_embedding_key',
+      ts: new Date(Date.now() - 3600_000).toISOString(),
+    }));
+    expect(parserProbeRanWithin(DAY_MS)).toBe(true);
+  });
+});

test/autopilot-nightly-probe-wiring.test.ts

@@ -31,10 +31,15 @@ describe('autopilot wiring: nightly quality probe', () => {
     expect(SOURCE).toContain(`runCrossModalBatchForProbe`);
   });
 
-  test('feature flag gate present: cfg.autopilot.nightly_quality_probe.enabled', () => {
+  test('feature flag gate present: dual-plane read (DB row wins, file plane fallback)', () => {
     // Per D10: the scheduler ONLY checks the feature flag. The 24h rate-limit
     // lives inside runNightlyQualityProbe itself (no scheduler-side precheck).
-    expect(SOURCE).toContain(`nightly_quality_probe?.enabled === true`);
+    // The flag resolves through resolveProbeEnabled so `gbrain config set
+    // autopilot.nightly_quality_probe.enabled true` (the doctor hint, DB
+    // plane) and ~/.gbrain/config.json (file plane) BOTH work — a file-only
+    // read made the printed hint a silent no-op.
+    expect(SOURCE).toContain(`getConfig('autopilot.nightly_quality_probe.enabled')`);
+    expect(SOURCE).toMatch(/resolveProbeEnabled\(dbEnabled,\s*cfg\?\.autopilot\?\.nightly_quality_probe\?\.enabled\)/);
   });
 
   test('NO scheduler-side rate-limit check (D10 simplification)', () => {
@@ -64,12 +69,23 @@ describe('autopilot wiring: nightly quality probe', () => {
     expect(SOURCE).toContain(`now:`);
   });
 
+  test('resolveRepoRoot prefers the gbrain package root (committed fixture home), not the brain repoPath', () => {
+    // The DI harness in nightly-quality-probe.test.ts passes process.cwd()
+    // (= the gbrain repo in CI), which papered over the wiring passing
+    // repoPath (= sync.repo_path, the user's BRAIN repo, where the fixture
+    // never exists). Pin the package-root resolution + existence check.
+    expect(SOURCE).toMatch(/fileURLToPath\(new URL\('\.\.\/\.\.', import\.meta\.url\)\)/);
+    expect(SOURCE).toContain(`'longmemeval-nightly.jsonl'`);
+    expect(SOURCE).toMatch(/fixtureAtPkgRoot \? pkgRoot : repoPath/);
+  });
+
   test('hasEmbeddingProvider reads from gateway.isAvailable("embedding") (codex round-2 #12 — in-process, not subprocess)', () => {
     expect(SOURCE).toContain(`isAvailable('embedding')`);
     expect(SOURCE).toContain(`gateway`);
   });
 
-  test('max_usd default = 5 when config unset (matches plan default per D10)', () => {
-    expect(SOURCE).toMatch(/max_usd\s*\?\?\s*5/);
+  test('max_usd resolves dual-plane (default = 5 pinned by resolveProbeMaxUsd unit tests)', () => {
+    expect(SOURCE).toContain(`getConfig('autopilot.nightly_quality_probe.max_usd')`);
+    expect(SOURCE).toMatch(/resolveProbeMaxUsd\(dbMaxUsd,\s*cfg\?\.autopilot\?\.nightly_quality_probe\?\.max_usd\)/);
   });
 });

test/autopilot-parser-probe-wiring.test.ts

@@ -0,0 +1,77 @@
+/**
+ * Source-shape regression tests for the autopilot wiring of
+ * `runConversationParserNightlyProbe` (step 4.6).
+ *
+ * Same rationale as autopilot-nightly-probe-wiring.test.ts: the loop is
+ * hard to drive end-to-end, so these pin the structural protections —
+ * the dual-plane flag read, the D10 tokenmax mode-gate, the package-root
+ * fixture resolution, the audit-flood guard, and the try/catch posture.
+ *
+ * The probe's own gate/scoring logic is pinned by the module's unit
+ * tests; the audit trail by audit-parser-probe.serial.test.ts.
+ */
+
+import { describe, test, expect } from 'bun:test';
+import { readFileSync } from 'node:fs';
+import { resolve } from 'node:path';
+
+const AUTOPILOT_SRC = resolve('src/commands/autopilot.ts');
+const SOURCE = readFileSync(AUTOPILOT_SRC, 'utf-8');
+
+describe('autopilot wiring: conversation-parser probe', () => {
+  test('invokes the phase module and the audit trail', () => {
+    expect(SOURCE).toContain(`runConversationParserNightlyProbe`);
+    expect(SOURCE).toContain(`conversation-parser/nightly-probe`);
+    expect(SOURCE).toContain(`logParserProbeEvent`);
+    expect(SOURCE).toContain(`audit-parser-probe`);
+  });
+
+  test('flag reads dual-plane: DB row (gbrain config set) wins, file plane fallback', () => {
+    expect(SOURCE).toContain(`getConfig('autopilot.conversation_parser_probe.enabled')`);
+    expect(SOURCE).toContain(`cfg?.autopilot?.conversation_parser_probe?.enabled === true`);
+  });
+
+  test('D10 mode-gate present: tokenmax brains run the probe by default', () => {
+    expect(SOURCE).toMatch(/parserEnabled \|\| searchMode === 'tokenmax'/);
+  });
+
+  test('fixtures resolve from the gbrain package root, NOT the brain repoPath', () => {
+    // The committed fixtures live in the gbrain source tree; resolving
+    // them against sync.repo_path would point into the user's brain repo.
+    expect(SOURCE).toMatch(/fileURLToPath\(new URL\('\.\.\/\.\.', import\.meta\.url\)\)/);
+    expect(SOURCE).toContain(`'conversation-formats', 'all.jsonl'`);
+    expect(SOURCE).toContain(`'conversation-formats', 'adversarial.jsonl'`);
+  });
+
+  test('missing fixtures skip quietly (no audit row, once-per-process stderr note)', () => {
+    // Compiled-binary installs carry no source tree; writing failure rows
+    // would flip doctor to WARN on every binary install.
+    expect(SOURCE).toContain(`parserProbeFixtureWarned`);
+  });
+
+  test('rate_limited outcomes are NOT audit-logged (flood guard)', () => {
+    expect(SOURCE).toMatch(/outcome !== 'rate_limited'\) logParserProbeEvent\(result\)/);
+  });
+
+  test('rate-limit gate delegates to the audit module, not inline event reads', () => {
+    expect(SOURCE).toContain(`parserProbeRanWithin(24 * 60 * 60 * 1000)`);
+  });
+
+  test('LLM-key gate reads gateway.isAvailable("chat") in-process', () => {
+    expect(SOURCE).toContain(`isAvailable('chat')`);
+  });
+
+  test('probe call wrapped in try/catch that does NOT bump consecutiveErrors', () => {
+    expect(SOURCE).toMatch(/catch[\s\S]*?autopilot\.parser_probe[\s\S]*?do NOT bump consecutiveErrors/);
+  });
+
+  test('DI shape: the exact 7 fields of the parser probe NightlyProbeDeps', () => {
+    expect(SOURCE).toContain(`isEnabled:`);
+    expect(SOURCE).toContain(`searchMode:`);
+    expect(SOURCE).toContain(`hasLlmKey:`);
+    expect(SOURCE).toContain(`resolveFixturePath:`);
+    expect(SOURCE).toContain(`resolveAdversarialPath:`);
+    expect(SOURCE).toContain(`shouldSkipForRateLimit:`);
+    expect(SOURCE).toContain(`now:`);
+  });
+});

test/cross-modal-default-slots.test.ts

@@ -0,0 +1,47 @@
+/**
+ * Consistency guard: every cross-modal DEFAULT_SLOTS model must be listed
+ * in its recipe's chat touchpoint. `openai:gpt-4o` drifted out of the
+ * OpenAI recipe while remaining the slot-A default — the gateway then
+ * rejected slot A ("not listed for OpenAI chat") on every install, and the
+ * 3-slot judge panel could never reach its 2-model quorum without a Google
+ * key, pinning every batch verdict at inconclusive (which the nightly
+ * quality probe surfaces as a doctor WARN).
+ */
+import { describe, expect, test } from 'bun:test';
+
+import { DEFAULT_SLOTS } from '../src/core/cross-modal-eval/runner.ts';
+import { getRecipe } from '../src/core/ai/recipes/index.ts';
+import { splitProviderModelId } from '../src/core/model-id.ts';
+import { canonicalLookup } from '../src/core/model-pricing.ts';
+
+describe('cross-modal DEFAULT_SLOTS ↔ recipe consistency', () => {
+  test('every default slot model is listed in its recipe chat touchpoint', () => {
+    for (const slot of DEFAULT_SLOTS) {
+      const { provider, model } = splitProviderModelId(slot.model);
+      expect(provider).not.toBeNull();
+      const recipe = getRecipe(provider!);
+      expect(recipe, `slot ${slot.id}: unknown recipe "${provider}"`).toBeDefined();
+      const chatModels = recipe!.touchpoints.chat?.models ?? [];
+      expect(
+        chatModels,
+        `slot ${slot.id}: "${model}" not listed for ${provider} chat — the judge slot can never run`,
+      ).toContain(model);
+    }
+  });
+
+  test('every default slot model has a canonical pricing entry', () => {
+    // Without one, estimateCost silently drops the slot from the
+    // --max-usd pre-flight and est_cost_usd audit rows (~1/3 under-count).
+    for (const slot of DEFAULT_SLOTS) {
+      expect(
+        canonicalLookup(slot.model),
+        `slot ${slot.id}: "${slot.model}" missing from CANONICAL_PRICING`,
+      ).toBeDefined();
+    }
+  });
+
+  test('slots span three distinct providers (uncorrelated blind spots)', () => {
+    const providers = new Set(DEFAULT_SLOTS.map(s => splitProviderModelId(s.model).provider));
+    expect(providers.size).toBe(3);
+  });
+});

test/doctor-parser-probe-check.test.ts

@@ -0,0 +1,51 @@
+/**
+ * Tests for computeConversationParserProbeHealthCheck — the pure function
+ * behind doctor's conversation_parser_probe_health check, which replaced
+ * the v0.41.13.0 hardcoded "Skipped" stub when the autopilot wiring
+ * landed. Mirrors the branch coverage style of the quality-probe check.
+ */
+import { describe, expect, test } from 'bun:test';
+
+import { computeConversationParserProbeHealthCheck } from '../src/commands/doctor.ts';
+
+const ev = (outcome: string, reason?: string, ts = new Date().toISOString()) => ({
+  outcome,
+  ts,
+  ...(reason !== undefined ? { reason } : {}),
+});
+
+describe('computeConversationParserProbeHealthCheck', () => {
+  test('disabled + no events → ok with paste-ready enable hint', () => {
+    const check = computeConversationParserProbeHealthCheck(false, []);
+    expect(check.status).toBe('ok');
+    expect(check.message).toContain('gbrain config set autopilot.conversation_parser_probe.enabled true');
+  });
+
+  test('enabled + no events yet → ok, next run by autopilot', () => {
+    const check = computeConversationParserProbeHealthCheck(true, []);
+    expect(check.status).toBe('ok');
+    expect(check.message).toContain('no probe events');
+  });
+
+  test('disabled flag but events exist (tokenmax mode-gate ran it) → events win over the hint', () => {
+    const check = computeConversationParserProbeHealthCheck(false, [ev('pass')]);
+    expect(check.status).toBe('ok');
+    expect(check.message).toContain('all pass');
+  });
+
+  test('any non-pass outcome in the window → warn, latest surfaced with reason', () => {
+    const check = computeConversationParserProbeHealthCheck(true, [
+      ev('pass'),
+      ev('adversarial_false_positive', '1 adversarial fixture(s) parsed to non-empty'),
+    ]);
+    expect(check.status).toBe('warn');
+    expect(check.message).toContain('adversarial_false_positive');
+    expect(check.message).toContain('parsed to non-empty');
+  });
+
+  test('all pass → ok with run count', () => {
+    const check = computeConversationParserProbeHealthCheck(true, [ev('pass'), ev('pass')]);
+    expect(check.status).toBe('ok');
+    expect(check.message).toContain('2 probe run(s)');
+  });
+});

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/nightly-probe-config-plane.test.ts

@@ -0,0 +1,74 @@
+// Regression test for the nightly-quality-probe config-plane split-brain.
+//
+// The doctor check prints a paste-ready enable hint — `gbrain config set
+// autopilot.nightly_quality_probe.enabled true` — which writes the DB config
+// plane. But both the autopilot gate and the doctor check used to read ONLY
+// the file plane (~/.gbrain/config.json via loadConfig), so following the
+// hint was a silent no-op: the probe never ran and doctor kept reporting
+// "disabled (opt-in)".
+//
+// resolveProbeEnabled / resolveProbeMaxUsd pin the dual-plane rule (same
+// precedent as `mcp.publish_skills` in serve-http.ts): DB row wins when
+// present, file plane is the fallback.
+import { describe, expect, test } from 'bun:test';
+
+import {
+  resolveProbeEnabled,
+  resolveProbeMaxUsd,
+} from '../src/core/cycle/nightly-quality-probe.ts';
+
+describe('resolveProbeEnabled — dual-plane flag resolution', () => {
+  test('DB plane "true" enables regardless of file plane (the doctor hint path)', () => {
+    expect(resolveProbeEnabled('true', undefined)).toBe(true);
+    expect(resolveProbeEnabled('true', false)).toBe(true);
+  });
+
+  test('explicit DB "false" wins over file-plane true (config set off sticks)', () => {
+    expect(resolveProbeEnabled('false', true)).toBe(false);
+  });
+
+  test('file plane is the fallback when no DB row exists', () => {
+    expect(resolveProbeEnabled(null, true)).toBe(true);
+    expect(resolveProbeEnabled(undefined, true)).toBe(true);
+    expect(resolveProbeEnabled(null, undefined)).toBe(false);
+    expect(resolveProbeEnabled(null, false)).toBe(false);
+  });
+
+  test('file plane stays strict boolean — string "true" in config.json does not enable', () => {
+    // Matches the pre-fix autopilot gate (`=== true`); the doctor check used
+    // Boolean(...) and could disagree with autopilot on a string value.
+    // Both call sites now share this helper, so they can no longer diverge.
+    expect(resolveProbeEnabled(null, 'true')).toBe(false);
+    expect(resolveProbeEnabled(null, 1)).toBe(false);
+  });
+
+  test('non-"true" DB strings are off (mcp.publish_skills semantics)', () => {
+    expect(resolveProbeEnabled('1', true)).toBe(false);
+    expect(resolveProbeEnabled('yes', true)).toBe(false);
+    expect(resolveProbeEnabled('', true)).toBe(false);
+  });
+});
+
+describe('resolveProbeMaxUsd — dual-plane cost cap resolution', () => {
+  test('DB plane wins when parseable', () => {
+    expect(resolveProbeMaxUsd('2.5', 10)).toBe(2.5);
+    expect(resolveProbeMaxUsd('0', 10)).toBe(0);
+  });
+
+  test('malformed or negative DB value falls through to file plane', () => {
+    expect(resolveProbeMaxUsd('banana', 3)).toBe(3);
+    expect(resolveProbeMaxUsd('-1', 3)).toBe(3);
+  });
+
+  test('file plane used when no DB row; default when both absent/invalid', () => {
+    expect(resolveProbeMaxUsd(null, 7)).toBe(7);
+    expect(resolveProbeMaxUsd(null, '4')).toBe(4);
+    expect(resolveProbeMaxUsd(null, undefined)).toBe(5);
+    expect(resolveProbeMaxUsd(null, 'banana')).toBe(5);
+    expect(resolveProbeMaxUsd(undefined, -2)).toBe(5);
+  });
+
+  test('explicit fallback override is honored', () => {
+    expect(resolveProbeMaxUsd(null, undefined, 12)).toBe(12);
+  });
+});

test/nightly-quality-probe.test.ts

@@ -132,17 +132,20 @@ describe('runNightlyQualityProbe (DI stub harness)', () => {
     });
   });
 
-  test('enabled + recent run within 24h → outcome: rate_limited', async () => {
+  test('enabled + recent run within 24h → outcome: rate_limited, NO audit row', async () => {
     // Pre-seed a recent audit event by running the probe once first.
     await withEnv({ GBRAIN_AUDIT_DIR: auditTmp }, async () => {
       // First run succeeds.
       await runNightlyQualityProbe(makeDeps());
-      // Second run, same hour → rate_limited.
+      // Second run, same hour → rate_limited. A skip is a non-event: the
+      // autopilot loop invokes the probe every cycle (~5-10 min), so
+      // logging each skip would flood the audit file and flip doctor's
+      // any-non-pass-is-bad filter to a permanent WARN.
       const r2 = await runNightlyQualityProbe(makeDeps());
       expect(r2.outcome).toBe('rate_limited');
       const events = await readEvents();
-      expect(events.length).toBe(2);
-      expect(events[1].outcome).toBe('rate_limited');
+      expect(events.length).toBe(1);
+      expect(events[0].outcome).toBe('pass');
     });
   });
 

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