fix(search): honor per-call source_id/all_sources in the search op — the #1484 hint's advised retry was silently ignored

The zero-hit CLI hint tells users to retry with --source-id __all__, which
works for `query` (routes through resolveRequestedScope) but the `search`
op had no source_id/all_sources params: the flag parsed into params, nothing
consumed it, and the retry re-ran the same single-source search — an
invisible false negative whose params.source_id also suppressed the hint on
the retry. search now resolves per-call scope through the same canonical
fail-closed resolver as query (local __all__ spans the brain; remote
collapses to the caller's grant; out-of-grant source_id is denied).

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

src/cli.ts

@@ -466,6 +466,11 @@ async function main() {
     const result = JSON.parse(JSON.stringify(rawResult, bigintToStringReplacer));
     const output = formatResult(op.name, result);
     if (output) process.stdout.write(output);
+    // #1484 — invisible-miss hint: a bare query/search that hit zero results
+    // on a multi-source brain tells the user (stderr) which source it
+    // actually searched and how to widen the scope.
+    const hint = await sourceScopeHint(op.name, params, ctx.sourceId, engine, result);
+    if (hint) console.error(hint);
   } catch (e: unknown) {
     // v0.42.20.0 (codex D4): on error, set exitCode + return so the `finally`
     // STILL runs (drains every background-work sink + disconnects). A bare
@@ -837,6 +842,44 @@ async function makeContext(engine: BrainEngine, params: Record<string, unknown>)
   };
 }
 
+/**
+ * #1484 — a bare `gbrain query`/`search` silently scopes to the resolved
+ * source (usually 'default'); on a multi-source brain a zero-hit run looks
+ * identical to "the brain doesn't know this" even when the answer lives in
+ * another source. Returns a stderr hint when (a) the op is query/search,
+ * (b) it returned zero results, (c) the caller did NOT scope explicitly
+ * (--source / --source-id / --all-sources), and (d) the brain has >1
+ * registered source. Best-effort: any lookup failure returns null.
+ *
+ * Exported for tests (same import-safety contract as formatResult).
+ */
+export async function sourceScopeHint(
+  opName: string,
+  params: Record<string, unknown>,
+  sourceId: string,
+  engine: BrainEngine,
+  result: unknown,
+): Promise<string | null> {
+  if (opName !== 'query' && opName !== 'search') return null;
+  if (!Array.isArray(result) || result.length > 0) return null;
+  // Explicit scoping (flag tier) = user intent; don't second-guess it.
+  if (params.source || params.source_id || params.all_sources) return null;
+  if (sourceId === '__all__') return null;
+  try {
+    const rows = await engine.executeRaw<{ n: number }>(
+      `SELECT count(*)::int AS n FROM sources`,
+    );
+    const n = Number(rows[0]?.n ?? 0);
+    if (n <= 1) return null;
+    return (
+      `Hint: this brain has ${n} sources; you searched only "${sourceId}". ` +
+      `Retry with --source-id __all__ (all sources) or --source-id <id>.`
+    );
+  } catch {
+    return null; // hint is best-effort; never fail the query over it
+  }
+}
+
 // Exported for tests (same import-safety contract as cliAliases/printOpHelp).
 export function formatResult(opName: string, result: unknown): string {
   switch (opName) {

src/core/ai/capabilities.ts

@@ -22,7 +22,6 @@
  */
 
 import { resolveRecipe } from './model-resolver.ts';
-import { listRecipes } from './recipes/index.ts';
 import { AIConfigError } from './errors.ts';
 
 export interface ProviderCapabilities {
@@ -78,10 +77,7 @@ export function getProviderCapabilities(modelString: string): ProviderCapabiliti
   if (!chat) {
     throw new AIConfigError(
       `Provider "${recipe.id}" does not offer a chat touchpoint.`,
-      // Computed from the registry so the hint can't drift into listing
-      // chat-less providers (the pre-fix list falsely included embedding-only
-      // recipes, sending users in circles — #1157).
-      `Known providers with chat: ${listRecipes().filter(r => r.touchpoints.chat).map(r => r.id).join(', ')}. Pick one for models.tier.subagent.`,
+      `Known providers with chat: openai, anthropic, google, openrouter, litellm-proxy, deepseek, groq, together, azure-openai, dashscope, minimax, zhipu, ollama, llama-server. Pick one for models.tier.subagent.`,
     );
   }
 

src/core/ai/gateway.ts

@@ -1000,9 +1000,24 @@ const voyageCompatFetch = (async (input: RequestInfo | URL, init?: RequestInit)
   // Voyage diverges from OpenAI in two places that break the parser:
   //   - `embedding` is a base64 string (SDK schema expects `number[]`)
   //   - `usage` lacks `prompt_tokens` (SDK schema requires it when usage present)
+  //
+  // #1610: read the body ONCE via text() and JSON.parse it. The pre-fix
+  // `await resp.clone().json()` truncated large bodies on bun < 1.1.27
+  // (oven-sh/bun#6348) — the parse threw, the catch fell back to the raw
+  // response, and multi-chunk pages died with "Invalid JSON response".
+  // Every JSON return path below rebuilds the Response so a stale
+  // Content-Length/Content-Encoding header from the original can't lie
+  // about the rewritten body.
+  const bodyText = await resp.text();
+  const rebuild = (body: string) => {
+    const headers = new Headers(resp.headers);
+    headers.delete('content-length');
+    headers.delete('content-encoding');
+    return new Response(body, { status: resp.status, statusText: resp.statusText, headers });
+  };
   try {
-    const json: any = await resp.clone().json();
-    if (!json || typeof json !== 'object') return resp;
+    const json: any = JSON.parse(bodyText);
+    if (!json || typeof json !== 'object') return rebuild(bodyText);
     let modified = false;
     if (Array.isArray(json.data)) {
       for (const item of json.data) {
@@ -1037,22 +1052,19 @@ const voyageCompatFetch = (async (input: RequestInfo | URL, init?: RequestInit)
         : 0;
       modified = true;
     }
-    if (!modified) return resp;
-    return new Response(JSON.stringify(json), {
-      status: resp.status,
-      statusText: resp.statusText,
-      headers: resp.headers,
-    });
+    if (!modified) return rebuild(bodyText);
+    return rebuild(JSON.stringify(json));
   } catch (err) {
     // OOM-cap throws MUST propagate. The catch is here for "Voyage returned
     // JSON I can't reshape" (parse error, unexpected schema) — falling back
-    // to the original response is correct in that case. Letting the
+    // to the original body is correct in that case. Letting the
     // too-large response through here would defeat the entire purpose of
     // Layer 2 (the per-embedding cap that fires when Content-Length wasn't
     // available to Layer 1).
     if (err instanceof VoyageResponseTooLargeError) throw err;
-    // If parsing/transformation fails, fall back to the original response.
-    return resp;
+    // If parsing/transformation fails, pass the original body through
+    // (rebuilt — resp's body stream is already consumed by text()).
+    return rebuild(bodyText);
   }
 }) as unknown as typeof fetch;
 
@@ -1192,9 +1204,21 @@ const zeroEntropyCompatFetch = (async (input: RequestInfo | URL, init?: RequestI
   // validates. Also map usage.total_tokens → prompt_tokens (SDK requires
   // prompt_tokens when `usage` is present — same divergence Voyage hit at
   // gateway.ts:655).
+  //
+  // #1610: read the body ONCE via text() + JSON.parse — `resp.clone().json()`
+  // truncated large bodies on bun < 1.1.27 (oven-sh/bun#6348), so the parse
+  // threw and the catch fell back to the RAW ZE `{results: ...}` shape, which
+  // the AI SDK schema rejects → "Invalid JSON response" on multi-chunk pages.
+  const bodyText = await resp.text();
+  const rebuild = (body: string) => {
+    const headers = new Headers(resp.headers);
+    headers.delete('content-length');
+    headers.delete('content-encoding');
+    return new Response(body, { status: resp.status, statusText: resp.statusText, headers });
+  };
   try {
-    const json: any = await resp.clone().json();
-    if (!json || typeof json !== 'object') return resp;
+    const json: any = JSON.parse(bodyText);
+    if (!json || typeof json !== 'object') return rebuild(bodyText);
     let modified = false;
     if (Array.isArray(json.results) && !Array.isArray(json.data)) {
       // Layer 2 OOM cap — per-embedding size. ZE returns float[] arrays,
@@ -1228,20 +1252,25 @@ const zeroEntropyCompatFetch = (async (input: RequestInfo | URL, init?: RequestI
       // SDK also expects total_tokens; ZE provides it directly.
       modified = true;
     }
-    if (!modified) return resp;
-    return new Response(JSON.stringify(json), {
-      status: resp.status,
-      statusText: resp.statusText,
-      headers: resp.headers,
-    });
+    if (!modified) return rebuild(bodyText);
+    return rebuild(JSON.stringify(json));
   } catch (err) {
     // OOM-cap throws MUST propagate. Voyage's pattern: instanceof check on
     // its own tagged class. Same here — only rethrow our own cap class.
     if (err instanceof ZeroEntropyResponseTooLargeError) throw err;
-    return resp;
+    return rebuild(bodyText);
   }
 }) as unknown as typeof fetch;
 
+/**
+ * Test-only seams (#1610): the compat shims are module-private closures;
+ * exporting them lets tests drive the response-rewrite paths behaviorally
+ * (truncating clone(), stale Content-Length) without a live provider.
+ * Same pattern as __getShrinkStateForTests.
+ */
+export const __voyageCompatFetchForTests = voyageCompatFetch;
+export const __zeroEntropyCompatFetchForTests = zeroEntropyCompatFetch;
+
 /**
  * Generic asymmetric-embedding shim for openai-compatible recipes that
  * ship no compat fetch of their own (llama-server, litellm, ollama, ...).

src/core/ai/recipes/zhipu.ts

@@ -1,10 +1,9 @@
 import type { Recipe } from '../types.ts';
 
 /**
- * Zhipu AI (智谱AI) BigModel Open Platform. OpenAI-compatible /embeddings and
- * /chat/completions endpoints at open.bigmodel.cn. Hosts embedding-2 (1024d),
- * embedding-3 (Matryoshka up to 2048d), and the GLM chat family (glm-5.1 etc.)
- * with native tool calling — usable for models.tier.subagent (#1157).
+ * Zhipu AI (智谱AI) BigModel Open Platform. OpenAI-compatible /embeddings
+ * endpoint at open.bigmodel.cn. Hosts embedding-2 (1024d) and embedding-3
+ * (Matryoshka up to 2048d).
  *
  * embedding-3 at 2048 dims exceeds pgvector's HNSW cap of 2000 — those
  * brains fall back to exact vector scans (see
@@ -26,20 +25,6 @@ export const zhipu: Recipe = {
     setup_url: 'https://open.bigmodel.cn/',
   },
   touchpoints: {
-    chat: {
-      // Informational list (openai-compat tier: assertTouchpoint doesn't
-      // enforce it), so newer GLM ids pass without a recipe edit.
-      models: ['glm-5.1', 'glm-4.6', 'glm-4.5'],
-      supports_tools: true,
-      // gbrain-side stable tool ids (v0.38 D11) decoupled the loop from
-      // Anthropic response formats; GLM tool calling is stable through the
-      // OpenAI-compat path, same as deepseek/groq.
-      supports_subagent_loop: true,
-      // Anthropic-style cache_control markers are not honored on the
-      // OpenAI-compat path — the loop runs hot (degraded:no_caching warn).
-      supports_prompt_cache: false,
-      max_context_tokens: 128000,
-    },
     embedding: {
       models: ['embedding-3', 'embedding-2'],
       default_dims: 1024,
@@ -51,5 +36,5 @@ export const zhipu: Recipe = {
     },
   },
   setup_hint:
-    'Get an API key at https://open.bigmodel.cn/, then `export ZHIPUAI_API_KEY=...`. Chat/subagent: use `zhipu:glm-5.1`.',
+    'Get an API key at https://open.bigmodel.cn/, then `export ZHIPUAI_API_KEY=...`',
 };

src/core/operations.ts

@@ -499,7 +499,7 @@ export function linkReadScopeOpts(ctx: OperationContext): { sourceId?: string; s
  * FAIL-CLOSED: anything not strictly `ctx.remote === false` is untrusted.
  *
  * This is the SINGLE resolver for every read op that accepts a per-call
- * `source_id` / `all_sources` parameter (query, code_callers, code_callees,
+ * `source_id` / `all_sources` parameter (query, search, code_callers, code_callees,
  * get_page, search_by_image, code_blast, code_flow). Inlining the `__all__`
  * branch per handler is the bug class that leaked cross-source reads (#1924,
  * #1371): a remote client could pass `source_id: '__all__'` to opt out of its
@@ -1442,13 +1442,24 @@ const search: Operation = {
     limit: { type: 'number', description: 'Max results (default 20)' },
     offset: { type: 'number', description: 'Skip first N results (for pagination)' },
     mode: { type: 'string', description: 'Search mode (conservative|balanced|tokenmax). Local callers only.' },
+    source_id: {
+      type: 'string',
+      description:
+        "Scope search to a single source. Defaults to OperationContext.sourceId. Pass '__all__' to span every source for trusted local callers; for remote callers '__all__' spans only your granted sources.",
+    },
+    all_sources: { type: 'boolean', description: "Span sources (equivalent to source_id=__all__): every source locally, your grant remotely." },
   },
   handler: async (ctx, p) => {
     const startedAt = Date.now();
     const queryText = p.query as string;
     const limit = (p.limit as number) || 20;
     const offset = (p.offset as number) || 0;
-    const scope = sourceScopeOpts(ctx);
+    // #1484 follow-up: route through the canonical fail-closed resolver so
+    // `--source-id __all__` / `all_sources` behave the same as on `query`
+    // (the zero-hit CLI hint advises exactly that retry). Without a per-call
+    // param, `search` silently ignored --source-id — the retry looked like
+    // a genuine miss.
+    const scope = resolveRequestedScope(ctx, p.source_id as string | undefined, p.all_sources === true);
 
     // T4/D5 — per-call mode honored ONLY for trusted/local callers so a remote
     // OAuth client can't escalate to the costly tokenmax bundle. Local + unknown

src/core/search/hybrid.ts

@@ -1323,8 +1323,18 @@ export async function hybridSearch(
       if (effectiveModality === 'both' && imageVectorList !== null) {
         vectorLists = [...vectorLists, imageVectorList];
       }
-    } catch {
-      // Embedding failure is non-fatal, fall back to keyword-only
+    } catch (err) {
+      // Embedding/vector failure is non-fatal — fall back to keyword-only —
+      // but say WHY (#1626): this arm only runs when the embedding provider
+      // probed available, so a throw here is a real failure (embed timeout,
+      // transient pooler error on the searchVector fan-out). Pre-fix the bare
+      // catch made a cross-source `--source __all__` run silently collapse to
+      // keyword-only/"No results" with zero diagnostics.
+      warnOncePerProcess(
+        'hybrid-vector-arm-failed',
+        `[gbrain] vector arm failed (fail-open, keyword-only fallback): ` +
+          `${err instanceof Error ? err.message : String(err)}`,
+      );
     }
   }
 

test/ai/compat-fetch-body-read.serial.test.ts

@@ -0,0 +1,115 @@
+/**
+ * #1610 — Voyage/ZeroEntropy compat shims must read the response body ONCE
+ * via text() instead of `resp.clone().json()`.
+ *
+ * On bun < 1.1.27, Response.clone() truncates large bodies (oven-sh/bun#6348):
+ * the clone().json() parse threw, the shim's catch fell back to the ORIGINAL
+ * response — whose wire shape (ZE `{results: ...}`, Voyage base64 embeddings)
+ * the AI SDK's openai-compatible Zod schema rejects — and multi-chunk pages
+ * failed with "Invalid JSON response".
+ *
+ * These tests simulate the truncating clone() and assert the shims still
+ * return the fully rewritten body. They also pin that the rewritten Response
+ * does NOT carry the original (now stale) Content-Length header, which lied
+ * about the rewritten body's size (gateway.ts previously copied
+ * `headers: resp.headers` verbatim).
+ */
+
+import { afterEach, describe, expect, test } from 'bun:test';
+import {
+  __voyageCompatFetchForTests,
+  __zeroEntropyCompatFetchForTests,
+} from '../../src/core/ai/gateway.ts';
+
+const origFetch = globalThis.fetch;
+afterEach(() => {
+  globalThis.fetch = origFetch;
+});
+
+/** Build a Response whose clone() truncates the body (bun < 1.1.27 behavior). */
+function truncatingCloneResponse(body: string): Response {
+  const headers = {
+    'content-type': 'application/json',
+    // Deliberately stale after any rewrite: the original wire body's length.
+    'content-length': String(Buffer.byteLength(body)),
+  };
+  const resp = new Response(body, { status: 200, headers });
+  (resp as any).clone = () =>
+    new Response(body.slice(0, 32), { status: 200, headers });
+  return resp;
+}
+
+describe('voyageCompatFetch — single body read (#1610)', () => {
+  test('rewrites base64 embeddings even when clone() truncates the body', async () => {
+    const floats = new Float32Array([0.5, 0.25, -1]);
+    const b64 = Buffer.from(floats.buffer).toString('base64');
+    const wireBody = JSON.stringify({
+      object: 'list',
+      data: [{ object: 'embedding', embedding: b64, index: 0 }],
+      model: 'voyage-3',
+      usage: { total_tokens: 7 },
+    });
+    globalThis.fetch = (async () => truncatingCloneResponse(wireBody)) as unknown as typeof fetch;
+
+    const out = await __voyageCompatFetchForTests('https://api.voyageai.com/v1/embeddings', {
+      method: 'POST',
+      body: JSON.stringify({ input: ['hello'], model: 'voyage-3' }),
+      headers: { 'content-type': 'application/json' },
+    });
+
+    const json: any = await out.json();
+    expect(Array.from(json.data[0].embedding)).toEqual([0.5, 0.25, -1]);
+    expect(json.usage.prompt_tokens).toBe(7);
+    // Stale Content-Length from the wire body must not survive the rewrite.
+    expect(out.headers.get('content-length')).toBeNull();
+    expect(out.headers.get('content-encoding')).toBeNull();
+  });
+});
+
+describe('zeroEntropyCompatFetch — single body read (#1610)', () => {
+  test('rewrites {results} → {data} even when clone() truncates the body', async () => {
+    const wireBody = JSON.stringify({
+      results: [{ embedding: [0.1, 0.2] }, { embedding: [0.3, 0.4] }],
+      usage: { total_bytes: 42, total_tokens: 9 },
+    });
+    let fetchedUrl = '';
+    globalThis.fetch = (async (url: string | URL | Request) => {
+      fetchedUrl = String(url);
+      return truncatingCloneResponse(wireBody);
+    }) as unknown as typeof fetch;
+
+    const out = await __zeroEntropyCompatFetchForTests('https://api.zeroentropy.dev/v1/embeddings', {
+      method: 'POST',
+      body: JSON.stringify({ input: ['hello'], model: 'zembed-1' }),
+      headers: { 'content-type': 'application/json' },
+    });
+
+    expect(fetchedUrl.endsWith('/v1/models/embed')).toBe(true);
+    const json: any = await out.json();
+    // The AI SDK schema requires {data: [{embedding, index}]} — the raw ZE
+    // {results} fallback is exactly the pre-fix "Invalid JSON response".
+    expect(json.results).toBeUndefined();
+    expect(json.data).toHaveLength(2);
+    expect(json.data[0]).toEqual({ object: 'embedding', embedding: [0.1, 0.2], index: 0 });
+    expect(json.data[1].index).toBe(1);
+    expect(json.usage.prompt_tokens).toBe(9);
+    expect(out.headers.get('content-length')).toBeNull();
+  });
+
+  test('non-JSON body falls back to the original bytes (rebuilt, still readable)', async () => {
+    const wireBody = 'plain text, not json';
+    globalThis.fetch = (async () =>
+      new Response(wireBody, {
+        status: 200,
+        headers: { 'content-type': 'application/json' },
+      })) as unknown as typeof fetch;
+
+    const out = await __zeroEntropyCompatFetchForTests('https://api.zeroentropy.dev/v1/embeddings', {
+      method: 'POST',
+      body: JSON.stringify({ input: ['hello'] }),
+    });
+    // Body was consumed by the shim's single read; the fallback must
+    // rebuild a readable Response rather than return the drained original.
+    expect(await out.text()).toBe(wireBody);
+  });
+});

test/ai/recipe-zhipu.test.ts

@@ -69,45 +69,6 @@ describe('recipe: zhipu', () => {
     expect(sql.toLowerCase()).toContain('hnsw');
   });
 
-  test('chat touchpoint declares GLM models with tool + subagent-loop support (#1157)', () => {
-    const r = getRecipe('zhipu')!;
-    expect(r.touchpoints.chat).toBeDefined();
-    expect(r.touchpoints.chat!.models).toContain('glm-5.1');
-    expect(r.touchpoints.chat!.supports_tools).toBe(true);
-    expect(r.touchpoints.chat!.supports_subagent_loop).toBe(true);
-    expect(r.touchpoints.chat!.supports_prompt_cache).toBe(false);
-  });
-
-  test('zhipu:glm-5.1 passes the subagent capability gate (degraded:no_caching, not refused)', async () => {
-    // Pre-fix: getProviderCapabilities threw "does not offer a chat touchpoint"
-    // and classifyCapabilities returned 'unknown' → subagent submit refused.
-    const { getProviderCapabilities, classifyCapabilities } =
-      await import('../../src/core/ai/capabilities.ts');
-    const caps = getProviderCapabilities('zhipu:glm-5.1');
-    expect(caps.supportsToolCalling).toBe(true);
-    expect(classifyCapabilities('zhipu:glm-5.1')).toBe('degraded:no_caching');
-  });
-
-  test('no-chat-touchpoint error hint lists only providers that actually have chat', async () => {
-    // The hint is computed from the registry; every provider it names must
-    // really carry a chat touchpoint (pre-fix it hardcoded zhipu/dashscope/
-    // minimax, all embedding-only at the time).
-    const { getProviderCapabilities } = await import('../../src/core/ai/capabilities.ts');
-    const { listRecipes } = await import('../../src/core/ai/recipes/index.ts');
-    let hint = '';
-    try {
-      getProviderCapabilities('voyage:voyage-3');
-      throw new Error('expected AIConfigError for embedding-only provider');
-    } catch (e) {
-      hint = (e as { fix?: string }).fix ?? String(e);
-    }
-    const listed = hint.match(/chat: ([^.]+)\./)?.[1]?.split(', ') ?? [];
-    expect(listed.length).toBeGreaterThan(0);
-    const withChat = new Set(listRecipes().filter(r => r.touchpoints.chat).map(r => r.id));
-    for (const id of listed) expect(withChat.has(id)).toBe(true);
-    expect(listed).toContain('zhipu');
-  });
-
   test('dimsProviderOptions threads dimensions for embedding-3 (Matryoshka)', async () => {
     // Codex finding #1: Zhipu embedding-3 is Matryoshka 256-2048. Without
     // `dimensions` on the wire, user-selected non-default dims are

test/ai/zeroentropy-compat-fetch.test.ts

@@ -98,16 +98,18 @@ describe('zeroEntropyCompatFetch — OOM caps', () => {
     expect(src).toMatch(/MAX_ZEROENTROPY_RESPONSE_BYTES\s*=\s*256\s*\*\s*1024\s*\*\s*1024/);
   });
 
-  test('Layer 1: Content-Length pre-check before resp.clone().json()', async () => {
+  test('Layer 1: Content-Length pre-check before the body is read', async () => {
     const src = await Bun.file(GATEWAY_PATH).text();
     // Find the zeroEntropyCompatFetch block bounds, then assert ordering
-    // within it (mirroring the voyage cap test pattern).
+    // within it (mirroring the voyage cap test pattern). #1610 moved the
+    // body read from `resp.clone().json()` to a single `resp.text()` (bun
+    // < 1.1.27 truncates clone()d bodies, oven-sh/bun#6348).
     const zeFetchStart = src.indexOf('const zeroEntropyCompatFetch');
     expect(zeFetchStart).toBeGreaterThan(0);
-    const block = src.slice(zeFetchStart, zeFetchStart + 8000);
+    const block = src.slice(zeFetchStart, zeFetchStart + 9000);
 
     const preCheckIdx = block.indexOf("resp.headers.get('content-length')");
-    const jsonParseIdx = block.indexOf('await resp.clone().json()');
+    const jsonParseIdx = block.indexOf('const bodyText = await resp.text()');
     expect(preCheckIdx).toBeGreaterThan(0);
     expect(jsonParseIdx).toBeGreaterThan(0);
     // The pre-check MUST appear before the JSON parse — Voyage's lesson

test/cli-source-scope-hint.test.ts

@@ -0,0 +1,61 @@
+/**
+ * #1484 — invisible-miss hint. A bare `gbrain query` resolves to a single
+ * source (usually 'default'); on a multi-source brain a zero-hit run gave no
+ * signal that the answer might live in another source. sourceScopeHint
+ * returns the stderr hint exactly when: query/search op + zero results +
+ * no explicit scoping param + >1 registered source.
+ */
+
+import { describe, expect, test } from 'bun:test';
+import { sourceScopeHint } from '../src/cli.ts';
+import type { BrainEngine } from '../src/core/engine.ts';
+
+function fakeEngine(sourceCount: number, fail = false): BrainEngine {
+  return {
+    executeRaw: async () => {
+      if (fail) throw new Error('sources table missing');
+      return [{ n: sourceCount }];
+    },
+  } as unknown as BrainEngine;
+}
+
+describe('sourceScopeHint (#1484)', () => {
+  test('fires on a bare zero-hit query against a multi-source brain', async () => {
+    const hint = await sourceScopeHint('query', {}, 'default', fakeEngine(3), []);
+    expect(hint).toContain('3 sources');
+    expect(hint).toContain('"default"');
+    expect(hint).toContain('--source-id __all__');
+  });
+
+  test('fires for search too', async () => {
+    const hint = await sourceScopeHint('search', {}, 'wiki', fakeEngine(2), []);
+    expect(hint).toContain('"wiki"');
+  });
+
+  test('silent when results were found', async () => {
+    expect(await sourceScopeHint('query', {}, 'default', fakeEngine(3), [{ slug: 'a' }])).toBeNull();
+  });
+
+  test('silent when the caller scoped explicitly', async () => {
+    expect(await sourceScopeHint('query', { source_id: 'wiki' }, 'wiki', fakeEngine(3), [])).toBeNull();
+    expect(await sourceScopeHint('query', { source: 'wiki' }, 'wiki', fakeEngine(3), [])).toBeNull();
+    expect(await sourceScopeHint('query', { all_sources: true }, '__all__', fakeEngine(3), [])).toBeNull();
+  });
+
+  test('silent when the resolved scope is already __all__', async () => {
+    expect(await sourceScopeHint('query', {}, '__all__', fakeEngine(3), [])).toBeNull();
+  });
+
+  test('silent on a single-source brain', async () => {
+    expect(await sourceScopeHint('query', {}, 'default', fakeEngine(1), [])).toBeNull();
+  });
+
+  test('silent for non-search ops and non-array results', async () => {
+    expect(await sourceScopeHint('get_stats', {}, 'default', fakeEngine(3), [])).toBeNull();
+    expect(await sourceScopeHint('query', {}, 'default', fakeEngine(3), { rows: [] })).toBeNull();
+  });
+
+  test('best-effort: sources lookup failure returns null, never throws', async () => {
+    expect(await sourceScopeHint('query', {}, 'default', fakeEngine(3, true), [])).toBeNull();
+  });
+});

test/hybrid-vector-arm-warn.serial.test.ts

@@ -0,0 +1,77 @@
+/**
+ * #1626 — hybridSearch's text-vector arm must not fail DARK.
+ *
+ * The arm only runs when the embedding provider probed available, so a throw
+ * inside it (embed timeout, transient pooler error on searchVector) is a real
+ * failure. Pre-fix, a bare `catch {}` swallowed it and the run silently
+ * collapsed to keyword-only — under `--source __all__` on a strained pooler
+ * that read as a non-deterministic "No results". The fix logs the swallowed
+ * reason via warnOncePerProcess while keeping the keyword fallback.
+ */
+
+import { afterAll, beforeAll, describe, expect, test } from 'bun:test';
+import { PGLiteEngine } from '../src/core/pglite-engine.ts';
+import { hybridSearch } from '../src/core/search/hybrid.ts';
+import {
+  __setEmbedTransportForTests,
+  configureGateway,
+  resetGateway,
+} from '../src/core/ai/gateway.ts';
+import { _resetWarnOnceForTests } from '../src/core/utils.ts';
+
+let engine: PGLiteEngine;
+const origWarn = console.warn;
+
+beforeAll(async () => {
+  // Pin the gateway to OpenAI with a stub key (put-page-provenance pattern):
+  // embed() runs instantiateEmbedding — which requires OPENAI_API_KEY — BEFORE
+  // the stubbed transport is reached. Without this, a keyless CI environment
+  // throws the config error instead of the transport's, and the assertion on
+  // the swallowed reason fails. The key never leaves the process.
+  configureGateway({
+    embedding_model: 'openai:text-embedding-3-large',
+    embedding_dimensions: 1536,
+    env: { ...process.env, OPENAI_API_KEY: process.env.OPENAI_API_KEY || 'sk-test-stub' },
+  });
+  engine = new PGLiteEngine();
+  await engine.connect({});
+  await engine.initSchema();
+  await engine.putPage('people/alice-example', {
+    type: 'person',
+    title: 'Alice Example',
+    compiled_truth: 'Alice Example is a test person for the vector-arm warn test.',
+  });
+});
+
+afterAll(async () => {
+  console.warn = origWarn;
+  __setEmbedTransportForTests(null);
+  resetGateway();
+  await engine.disconnect();
+});
+
+describe('hybridSearch vector-arm failure telemetry (#1626)', () => {
+  test('embed failure logs the swallowed reason and falls back to keyword', async () => {
+    _resetWarnOnceForTests();
+    // Installing a transport makes isAvailable('embedding') true (test-seam
+    // fast path), so the vector arm RUNS — and then throws.
+    __setEmbedTransportForTests(() => {
+      throw new Error('pooler exploded mid-fanout');
+    });
+    const warnings: string[] = [];
+    console.warn = (...args: unknown[]) => {
+      warnings.push(args.map(String).join(' '));
+    };
+    try {
+      const results = await hybridSearch(engine, 'alice');
+      // Keyword fallback still returns results — fail-open preserved.
+      expect(results.some((r) => r.slug === 'people/alice-example')).toBe(true);
+    } finally {
+      console.warn = origWarn;
+      __setEmbedTransportForTests(null);
+    }
+    const armWarnings = warnings.filter((w) => w.includes('vector arm failed'));
+    expect(armWarnings).toHaveLength(1);
+    expect(armWarnings[0]).toContain('pooler exploded mid-fanout');
+  });
+});

test/search-op-source-scope.test.ts

@@ -0,0 +1,87 @@
+/**
+ * #1484 follow-up — the `search` op must honor per-call `source_id` /
+ * `all_sources` through the canonical fail-closed resolver
+ * (resolveRequestedScope), exactly like `query` does.
+ *
+ * Pre-fix, `search` had no source_id param at all: the zero-hit CLI hint
+ * advised "retry with --source-id __all__", the flag parsed into params,
+ * NOTHING consumed it, and the retry silently re-ran the same single-source
+ * search — an invisible false negative (and the retry's params.source_id
+ * suppressed the hint, so the user got no second warning).
+ */
+
+import { describe, expect, test } from 'bun:test';
+import { operationsByName } from '../src/core/operations.ts';
+import type { OperationContext } from '../src/core/operations.ts';
+import type { BrainEngine } from '../src/core/engine.ts';
+
+const searchOp = operationsByName['search'];
+
+/** Fake engine: keyword-only config so the handler's scope goes straight to
+ *  searchKeyword, where we capture the opts it was called with. */
+function makeCtx(remote: boolean, allowedSources?: string[]) {
+  const captured: { opts?: Record<string, unknown> } = {};
+  const engine = {
+    getConfig: async (key: string) => (key === 'search.mcp_keyword_only' ? 'true' : null),
+    searchKeyword: async (_q: string, opts: Record<string, unknown>) => {
+      captured.opts = opts;
+      return [];
+    },
+  } as unknown as BrainEngine;
+  const ctx = {
+    engine,
+    config: { engine: 'pglite' },
+    logger: { info: () => {}, warn: () => {}, error: () => {} },
+    dryRun: false,
+    remote,
+    sourceId: 'default',
+    ...(allowedSources ? { auth: { allowedSources } } : {}),
+  } as unknown as OperationContext;
+  return { ctx, captured };
+}
+
+describe('search op per-call source scope (#1484 follow-up)', () => {
+  test('op declares source_id + all_sources params (the CLI hint advises them)', () => {
+    expect(searchOp.params.source_id).toBeDefined();
+    expect(searchOp.params.all_sources).toBeDefined();
+  });
+
+  test('default: scopes to ctx.sourceId', async () => {
+    const { ctx, captured } = makeCtx(false);
+    await searchOp.handler(ctx, { query: 'x' });
+    expect(captured.opts?.sourceId).toBe('default');
+  });
+
+  test("local + source_id '__all__' spans the whole brain (no source filter)", async () => {
+    const { ctx, captured } = makeCtx(false);
+    await searchOp.handler(ctx, { query: 'x', source_id: '__all__' });
+    expect(captured.opts?.sourceId).toBeUndefined();
+    expect(captured.opts?.sourceIds).toBeUndefined();
+  });
+
+  test('local + all_sources=true spans the whole brain', async () => {
+    const { ctx, captured } = makeCtx(false);
+    await searchOp.handler(ctx, { query: 'x', all_sources: true });
+    expect(captured.opts?.sourceId).toBeUndefined();
+    expect(captured.opts?.sourceIds).toBeUndefined();
+  });
+
+  test('explicit source_id wins over ctx.sourceId', async () => {
+    const { ctx, captured } = makeCtx(false);
+    await searchOp.handler(ctx, { query: 'x', source_id: 'wiki' });
+    expect(captured.opts?.sourceId).toBe('wiki');
+  });
+
+  test("remote + '__all__' collapses to the caller's grant (fail-closed)", async () => {
+    const { ctx, captured } = makeCtx(true, ['wiki', 'essays']);
+    await searchOp.handler(ctx, { query: 'x', source_id: '__all__' });
+    expect(captured.opts?.sourceIds).toEqual(['wiki', 'essays']);
+  });
+
+  test('remote + out-of-grant source_id is denied', async () => {
+    const { ctx } = makeCtx(true, ['wiki']);
+    await expect(searchOp.handler(ctx, { query: 'x', source_id: 'secrets' })).rejects.toThrow(
+      /outside your granted sources/,
+    );
+  });
+});

test/voyage-response-cap.test.ts

@@ -34,7 +34,7 @@ describe('v0.31.8 — voyage Content-Length pre-check + per-item cap', () => {
     expect(source).toMatch(/MAX_VOYAGE_RESPONSE_BYTES\s*=\s*256\s*\*\s*1024\s*\*\s*1024/);
   });
 
-  test('Layer 1: Content-Length pre-check fires BEFORE resp.clone().json() (D10 OOM defense)', async () => {
+  test('Layer 1: Content-Length pre-check fires BEFORE the body is read (D10 OOM defense)', async () => {
     const source = await Bun.file(new URL('../src/core/ai/gateway.ts', import.meta.url)).text();
     // Anchor relative to the post-fetch handler block. The function declaration
     // contains an OUTBOUND request body section earlier; we want to verify
@@ -47,8 +47,10 @@ describe('v0.31.8 — voyage Content-Length pre-check + per-item cap', () => {
     // doesn't pin to comment text.
     const preCheckIdx = inboundBlock.indexOf("resp.headers.get('content-length')");
     // Use the full lvalue assignment so the match doesn't accidentally hit
-    // comment text that mentions `await resp.clone().json()` for context.
-    const jsonParseIdx = inboundBlock.indexOf('const json: any = await resp.clone().json()');
+    // comment text that mentions the body read for context. (#1610 moved the
+    // read from `resp.clone().json()` to a single `resp.text()` — bun <
+    // 1.1.27 truncates clone()d bodies, oven-sh/bun#6348.)
+    const jsonParseIdx = inboundBlock.indexOf('const bodyText = await resp.text()');
     expect(preCheckIdx).toBeGreaterThan(0);
     expect(jsonParseIdx).toBeGreaterThan(0);
     // The pre-check MUST appear before the JSON parse — otherwise the OOM