fix(recipes/minimax): embedding wire-shape compat fetch + chat touchpoint (#1977)

MiniMax's /v1/embeddings endpoint is not OpenAI-compatible: it requires
texts (not input) plus a type field and returns {vectors} instead of
{data:[{embedding}]}. The recipe shipped no transport shim, so every
embed call failed with an invalid-params error, and it declared no chat
touchpoint, so assertTouchpoint blocked gbrain think even though
MiniMax chat is genuinely OpenAI-compatible.

Fix (takeover of #2882, corrected):
- minimaxCompatFetch via the DeepSeek-style compat.fetch seam (keeps
  cfg.base_urls overrides working; no new env var), gated on the
  /embeddings path so chat requests/responses pass through untouched.
- Response rewrite parses via resp.clone() and rebuilds with fresh
  headers — never returns a body-consumed Response (the flaw in #2882's
  wrapper, which broke every non-streaming chat completion).
- chat touchpoint with the /v1/models list from #1977.

Fixes #1977

Co-authored-by: ArthurHeung <ArthurHeung@users.noreply.github.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

src/core/ai/anthropic-key.ts

@@ -18,22 +18,12 @@
 import { loadConfig } from '../config.ts';
 
 export function hasAnthropicKey(): boolean {
-  return resolveAnthropicKey() !== undefined;
-}
-
-/**
- * Resolve the actual key value: env first, then the gbrain config file.
- * Callers constructing an Anthropic client directly (e.g. the legacy
- * subagent path) must pass this as `apiKey` — a bare `new Anthropic()`
- * only sees env, so launchd/MCP workers with config-stored keys fail.
- */
-export function resolveAnthropicKey(): string | undefined {
-  if (process.env.ANTHROPIC_API_KEY) return process.env.ANTHROPIC_API_KEY;
+  if (process.env.ANTHROPIC_API_KEY) return true;
   try {
     const cfg = loadConfig();
-    if (cfg?.anthropic_api_key) return cfg.anthropic_api_key;
+    if (cfg?.anthropic_api_key) return true;
   } catch {
     // loadConfig may throw on first-run installs; treat as no key available.
   }
-  return undefined;
+  return false;
 }

src/core/ai/recipes/minimax.ts

@@ -1,8 +1,100 @@
 import type { Recipe } from '../types.ts';
 
 /**
- * MiniMax (海螺AI). OpenAI-compatible /embeddings endpoint at
- * api.minimax.chat. The flagship embedding model is `embo-01` (1536 dims).
+ * MiniMax transport shim (#1977). MiniMax's `/v1/embeddings` endpoint is NOT
+ * OpenAI-compatible at the wire level despite the recipe's
+ * `implementation: 'openai-compatible'`:
+ *  - Request: requires `texts` (the AI SDK sends `input`) plus an optional
+ *    `type: 'db' | 'query'` asymmetric-retrieval field, and rejects OpenAI's
+ *    `encoding_format`.
+ *  - Response: returns `{vectors: number[][], total_tokens}` where the AI
+ *    SDK's Zod schema expects `{data: [{embedding, index}], usage}`.
+ *
+ * Chat (`/chat/completions`) IS OpenAI-compatible, and this same fetch is
+ * applied to every openai-compatible touchpoint by `applyOpenAICompatConfig`,
+ * so everything outside the embeddings path passes through untouched — and
+ * the response rewrite parses via `resp.clone()` only (never consume the
+ * body of a response we return as-is; the DeepSeek shim rule). Fail-open:
+ * any rewrite error returns the original request/response.
+ *
+ * @internal exported for tests.
+ */
+// Cast through `unknown` because Bun's `typeof fetch` carries a `preconnect`
+// member the arrow function does not implement (matches deepseek.ts).
+export const minimaxCompatFetch = (async (
+  input: RequestInfo | URL,
+  init?: RequestInit,
+): Promise<Response> => {
+  const url =
+    typeof input === 'string' ? input : input instanceof URL ? input.href : input.url;
+  const isEmbeddings = url.includes('/embeddings');
+
+  // OUTBOUND (embeddings only): `input` → `texts`, default `type: 'db'`
+  // (the recipe's documented symmetric default — the AI SDK adapter strips
+  // the `type` threaded via providerOptions before it reaches the wire,
+  // same class as #1400), and drop `encoding_format` (not a MiniMax param).
+  if (isEmbeddings && init?.body && typeof init.body === 'string') {
+    try {
+      const parsed = JSON.parse(init.body);
+      if (
+        parsed && typeof parsed === 'object' &&
+        parsed.input !== undefined && parsed.texts === undefined
+      ) {
+        parsed.texts = Array.isArray(parsed.input) ? parsed.input : [parsed.input];
+        delete parsed.input;
+        delete parsed.encoding_format;
+        if (parsed.type === undefined) parsed.type = 'db';
+        // Drop Content-Length so fetch recomputes from the new body.
+        const headers = new Headers(init.headers ?? {});
+        headers.delete('content-length');
+        init = { ...init, body: JSON.stringify(parsed), headers };
+      }
+    } catch {
+      // Body wasn't JSON — pass through untouched.
+    }
+  }
+
+  const res = await fetch(input as any, init as any);
+
+  // INBOUND (embeddings only): `{vectors: [[...]]}` → `{data: [{embedding}]}`.
+  // Anything else (chat completions, MiniMax base_resp errors, non-JSON)
+  // returns the ORIGINAL response with its body unread.
+  if (!isEmbeddings || !res.ok) return res;
+  const ctype = res.headers.get('content-type') ?? '';
+  if (!ctype.toLowerCase().includes('application/json')) return res;
+  try {
+    const json = await res.clone().json();
+    if (!json || typeof json !== 'object' || !Array.isArray(json.vectors)) return res;
+    const totalTokens = typeof json.total_tokens === 'number' ? json.total_tokens : 0;
+    const rewritten = {
+      object: 'list',
+      data: (json.vectors as number[][]).map((embedding, index) => ({
+        object: 'embedding',
+        embedding,
+        index,
+      })),
+      model: typeof json.model === 'string' ? json.model : 'embo-01',
+      usage: { prompt_tokens: totalTokens, total_tokens: totalTokens },
+    };
+    // Fresh header set: the body changed, so upstream content-length /
+    // content-encoding would now be wrong.
+    const headers = new Headers(res.headers);
+    headers.delete('content-length');
+    headers.delete('content-encoding');
+    return new Response(JSON.stringify(rewritten), {
+      status: res.status,
+      statusText: res.statusText,
+      headers,
+    });
+  } catch {
+    return res;
+  }
+}) as unknown as typeof fetch;
+
+/**
+ * MiniMax (海螺AI). `/embeddings` endpoint at api.minimaxi.com (wire shape
+ * normalized by `minimaxCompatFetch` above); OpenAI-compatible
+ * `/chat/completions`. The flagship embedding model is `embo-01` (1536 dims).
  *
  * MiniMax's API takes an extra `type: 'db' | 'query'` field for asymmetric
  * retrieval. gbrain currently has no notion of "this is a document vs a
@@ -38,7 +130,25 @@ export const minimax: Recipe = {
       // halving in the gateway catches token-limit errors at runtime.
       max_batch_tokens: 4096,
     },
+    chat: {
+      // Model list from MiniMax's /v1/models (#1977). Chat is genuinely
+      // OpenAI-compatible — no wire rewrite needed (minimaxCompatFetch
+      // passes non-embedding requests through untouched).
+      models: [
+        'MiniMax-M3',
+        'MiniMax-M2.7',
+        'MiniMax-M2.7-highspeed',
+        'MiniMax-M2.5',
+        'MiniMax-M2.5-highspeed',
+        'MiniMax-M2.1',
+        'MiniMax-M2.1-highspeed',
+        'MiniMax-M2',
+      ],
+      supports_tools: false,
+      supports_subagent_loop: false,
+    },
   },
   setup_hint:
     'Get an API key at https://www.minimaxi.com, then `export MINIMAX_API_KEY=...`',
+  compat: { fetch: minimaxCompatFetch },
 };

src/core/minions/handlers/subagent.ts

@@ -48,7 +48,6 @@ import {
   logSubagentHeartbeat,
 } from './subagent-audit.ts';
 import { resolveModel, isAnthropicProvider, TIER_DEFAULTS } from '../../model-config.ts';
-import { resolveAnthropicKey } from '../../ai/anthropic-key.ts';
 import { buildSystemPrompt, DEFAULT_SUBAGENT_SYSTEM } from '../system-prompt.ts';
 import { toolLoop as gatewayToolLoop } from '../../ai/gateway.ts';
 import type { ChatToolDef, ChatMessage, ChatBlock, ChatResult, ToolHandler } from '../../ai/gateway.ts';
@@ -187,10 +186,7 @@ export function makeSubagentHandler(deps: SubagentDeps) {
   // lives at sdk.messages.create. Assigning sdk.messages directly gets the
   // right object; JS method-call semantics preserve `this` at the call
   // site (subagent.ts invokes client.create(...) with client === sdk.messages).
-  // Resolve the key env-first, then config (anthropic_api_key) — a bare
-  // new Anthropic() only reads env, so launchd/MCP workers whose key lives
-  // in the gbrain config file would fail auth (#2048).
-  const makeAnthropic = deps.makeAnthropic ?? (() => new Anthropic({ apiKey: resolveAnthropicKey() }));
+  const makeAnthropic = deps.makeAnthropic ?? (() => new Anthropic());
   const client: MessagesClient = deps.client ?? makeAnthropic().messages;
   const config = deps.config ?? loadConfig() ?? ({ engine: 'postgres' } as GBrainConfig);
   const rateLeaseKey = deps.rateLeaseKey ?? DEFAULT_RATE_KEY;

src/core/operations.ts

@@ -4562,8 +4562,7 @@ const list_schema_packs: Operation = {
     const { existsSync, readdirSync } = await import('node:fs');
     const { join } = await import('node:path');
     const { gbrainPath } = await import('./config.ts');
-    const { BUNDLED_PACK_NAMES } = await import('./schema-pack/bundled.ts');
-    const bundled = [...BUNDLED_PACK_NAMES];
+    const bundled = ['gbrain-base', 'gbrain-recommended'];
     const installedDir = gbrainPath('schema-packs');
     const installed: string[] = [];
     if (existsSync(installedDir)) {

src/core/schema-pack/bundled.ts

@@ -1,24 +0,0 @@
-// Bundled schema-pack registry — single source of truth for the packs that
-// ship in src/core/schema-pack/base/. Keep every bundled-pack consumer
-// (CLI/MCP inspection, active-pack loading, mutation guards, upgrade
-// discovery) on this one list so they cannot drift.
-//
-// v0.39 T8 — gbrain-base + gbrain-recommended.
-// v0.41 T4 — lens packs: creator, investor, engineer, everything (meta-pack).
-// v0.42 type-unification — gbrain-base-v2, the 15-type canonical successor.
-
-export const BUNDLED_PACK_NAMES = [
-  'gbrain-base',
-  'gbrain-recommended',
-  'gbrain-creator',
-  'gbrain-investor',
-  'gbrain-engineer',
-  'gbrain-everything',
-  'gbrain-base-v2',
-] as const;
-
-export type BundledPackName = typeof BUNDLED_PACK_NAMES[number];
-
-export function isBundledPackName(name: string): name is BundledPackName {
-  return (BUNDLED_PACK_NAMES as readonly string[]).includes(name);
-}

src/core/schema-pack/load-active.ts

@@ -37,7 +37,6 @@ import {
   type ResolutionInput,
   type ResolutionResult,
 } from './registry.ts';
-import { isBundledPackName } from './bundled.ts';
 
 /**
  * Inputs the caller (operations.ts handler / engine query path) provides.
@@ -93,7 +92,28 @@ export function _resetPackLocatorForTests(): void {
  * throwing UnknownPackError with a paste-ready install hint.
  */
 function defaultPackLocator(name: string): string | null {
-  if (isBundledPackName(name)) {
+  // v0.39 T8 — bundled packs registry. gbrain-base + gbrain-recommended
+  // ship in src/core/schema-pack/base/. Add a new entry here to bundle
+  // additional canonical packs.
+  //
+  // v0.41 T4 — lens packs join the bundle: creator (atoms + concepts +
+  // extract_atoms/synthesize_concepts phases), investor (theses + bet
+  // resolution + 3 calibration domains), engineer (gstack-learnings bridge
+  // + 3 calibration domains), everything (meta-pack stacking all three
+  // via extends + borrow_from). Each ships as a real YAML at base/<name>.yaml.
+  const BUNDLED: ReadonlyArray<string> = [
+    'gbrain-base',
+    'gbrain-recommended',
+    'gbrain-creator',
+    'gbrain-investor',
+    'gbrain-engineer',
+    'gbrain-everything',
+    // v0.42 type-unification: 15-type canonical successor to gbrain-base.
+    // Ships as install default (Lane E T17) + via gbrain onboard pack
+    // upgrade flow (the unify-types Minion handler).
+    'gbrain-base-v2',
+  ];
+  if (BUNDLED.includes(name)) {
     // Resolve bundled YAML relative to this source file. Works in both
     // direct-bun execution and bun --compile binaries.
     const here = dirname(fileURLToPath(import.meta.url));

src/core/schema-pack/loader.ts

@@ -159,29 +159,6 @@ export function parseYamlMini(content: string): unknown {
     return parseMapping(baseIndent);
   }
 
-  function parseBlockScalar(parentIndent: number, folded: boolean): string {
-    const contentIndent = parentIndent + 2;
-    const out: string[] = [];
-    while (i < lines.length) {
-      const raw = lines[i];
-      // Inside a block scalar everything is literal content — '#' is NOT a
-      // comment here, so use the raw line (no stripComment / isBlank).
-      if (raw.trim() === '') {
-        out.push('');
-        i++;
-        continue;
-      }
-      const indent = indentOf(raw);
-      if (indent <= parentIndent) break;
-      out.push(raw.slice(Math.min(contentIndent, indent)));
-      i++;
-    }
-    if (folded) {
-      return out.join(' ').replace(/\s+$/u, '');
-    }
-    return out.join('\n').replace(/\n+$/u, '');
-  }
-
   function parseSequence(baseIndent: number): unknown[] {
     const result: unknown[] = [];
     while (i < lines.length) {
@@ -250,10 +227,6 @@ export function parseYamlMini(content: string): unknown {
           i++;
           if (rest2 === '') {
             map[key2] = parseBlock(nextIndent + 2);
-          } else if (rest2 === '|' || rest2 === '|-' || rest2 === '|+') {
-            map[key2] = parseBlockScalar(nextIndent, false);
-          } else if (rest2 === '>' || rest2 === '>-' || rest2 === '>+') {
-            map[key2] = parseBlockScalar(nextIndent, true);
           } else {
             map[key2] = parseScalar(rest2);
           }
@@ -284,10 +257,6 @@ export function parseYamlMini(content: string): unknown {
       i++;
       if (rest === '') {
         result[key] = parseBlock(indent + 2);
-      } else if (rest === '|' || rest === '|-' || rest === '|+') {
-        result[key] = parseBlockScalar(indent, false);
-      } else if (rest === '>' || rest === '>-' || rest === '>+') {
-        result[key] = parseBlockScalar(indent, true);
       } else {
         result[key] = parseScalar(rest);
       }

src/core/schema-pack/mutate.ts

@@ -65,7 +65,6 @@ import { invalidateQueryCache } from './query-cache-invalidator.ts';
 import { logMutationFailure, logMutationSuccess, type MutationActor, type MutationOp } from './mutate-audit.ts';
 import { runFilePlaneLintRules } from './lint-rules.ts';
 import { withPackLock, type PackLockOpts } from './pack-lock.ts';
-import { BUNDLED_PACK_NAMES as BUNDLED_PACK_NAME_LIST } from './bundled.ts';
 import type { BrainEngine } from '../engine.ts';
 
 export type PackFileFormat = 'json' | 'yaml';
@@ -94,7 +93,7 @@ export class SchemaPackMutationError extends Error {
   }
 }
 
-export const BUNDLED_PACK_NAMES = new Set<string>(BUNDLED_PACK_NAME_LIST);
+export const BUNDLED_PACK_NAMES = new Set(['gbrain-base', 'gbrain-recommended', 'gbrain-base-v2']);
 
 export interface MutateResult {
   /** Pack name that was mutated. */

test/ai/anthropic-key.test.ts

@@ -10,7 +10,7 @@ import { mkdtempSync, mkdirSync, writeFileSync, rmSync } from 'node:fs';
 import { tmpdir } from 'node:os';
 import { join } from 'node:path';
 import { withEnv } from '../helpers/with-env.ts';
-import { hasAnthropicKey, resolveAnthropicKey } from '../../src/core/ai/anthropic-key.ts';
+import { hasAnthropicKey } from '../../src/core/ai/anthropic-key.ts';
 
 const tmpDirs: string[] = [];
 function freshHome(withConfig?: Record<string, unknown>): string {
@@ -62,35 +62,3 @@ describe('hasAnthropicKey', () => {
     );
   });
 });
-
-describe('resolveAnthropicKey (#2048 — subagent config-key auth)', () => {
-  test('env wins over config', async () => {
-    const home = freshHome({ anthropic_api_key: 'sk-from-config' });
-    await withEnv(
-      { ANTHROPIC_API_KEY: 'sk-from-env', GBRAIN_HOME: home, DATABASE_URL: undefined, GBRAIN_DATABASE_URL: undefined },
-      async () => {
-        expect(resolveAnthropicKey()).toBe('sk-from-env');
-      },
-    );
-  });
-
-  test('config key returned when env unset', async () => {
-    const home = freshHome({ anthropic_api_key: 'sk-from-config' });
-    await withEnv(
-      { ANTHROPIC_API_KEY: undefined, GBRAIN_HOME: home, DATABASE_URL: undefined, GBRAIN_DATABASE_URL: undefined },
-      async () => {
-        expect(resolveAnthropicKey()).toBe('sk-from-config');
-      },
-    );
-  });
-
-  test('neither → undefined', async () => {
-    const home = freshHome();
-    await withEnv(
-      { ANTHROPIC_API_KEY: undefined, GBRAIN_HOME: home, DATABASE_URL: undefined, GBRAIN_DATABASE_URL: undefined },
-      async () => {
-        expect(resolveAnthropicKey()).toBeUndefined();
-      },
-    );
-  });
-});

test/ai/recipe-minimax.test.ts

@@ -6,10 +6,14 @@
  *  - default auth: MINIMAX_API_KEY → "Bearer <key>"; missing → AIConfigError
  *  - dimsProviderOptions threads `type: 'db'` for embo-01 (the asymmetric
  *    retrieval field default) — pins the v1 indexing-only behavior
+ *  - #1977: chat touchpoint declared; minimaxCompatFetch rewrites the
+ *    embedding wire shape both directions, passes chat through with the
+ *    response body UNREAD (the consumed-body regression), fail-open.
  */
 
-import { describe, expect, test } from 'bun:test';
+import { afterEach, describe, expect, test } from 'bun:test';
 import { getRecipe } from '../../src/core/ai/recipes/index.ts';
+import { minimaxCompatFetch } from '../../src/core/ai/recipes/minimax.ts';
 import { defaultResolveAuth } from '../../src/core/ai/gateway.ts';
 import { dimsProviderOptions } from '../../src/core/ai/dims.ts';
 import { AIConfigError } from '../../src/core/ai/errors.ts';
@@ -56,4 +60,106 @@ describe('recipe: minimax', () => {
     expect(dimsProviderOptions('openai-compatible', 'voyage-3-lite', 512)).toBeUndefined();
     expect(dimsProviderOptions('openai-compatible', 'nomic-embed-text', 768)).toBeUndefined();
   });
+
+  test('chat touchpoint declared (#1977) so assertTouchpoint permits gbrain think', () => {
+    const r = getRecipe('minimax')!;
+    expect(r.touchpoints.chat).toBeDefined();
+    expect(r.touchpoints.chat!.models).toContain('MiniMax-M3');
+    expect(r.touchpoints.chat!.supports_tools).toBe(false);
+    expect(r.touchpoints.chat!.supports_subagent_loop).toBe(false);
+  });
+
+  test('recipe ships minimaxCompatFetch via compat.fetch (no env-templated base URL)', () => {
+    const r = getRecipe('minimax')!;
+    expect(r.compat?.fetch).toBe(minimaxCompatFetch);
+    // base_urls config override must keep working: no resolveOpenAICompatConfig.
+    expect(r.resolveOpenAICompatConfig).toBeUndefined();
+  });
+});
+
+describe('minimaxCompatFetch (#1977)', () => {
+  const realFetch = globalThis.fetch;
+  afterEach(() => { globalThis.fetch = realFetch; });
+
+  function stubFetch(body: unknown, init?: { status?: number; contentType?: string }) {
+    const calls: { url: string; init?: RequestInit }[] = [];
+    globalThis.fetch = (async (input: any, i?: RequestInit) => {
+      calls.push({ url: String(input), init: i });
+      return new Response(typeof body === 'string' ? body : JSON.stringify(body), {
+        status: init?.status ?? 200,
+        headers: { 'content-type': init?.contentType ?? 'application/json' },
+      });
+    }) as unknown as typeof fetch;
+    return calls;
+  }
+
+  const EMBED_URL = 'https://api.minimaxi.com/v1/embeddings';
+  const CHAT_URL = 'https://api.minimaxi.com/v1/chat/completions';
+
+  test('embedding request: input → texts, type:db injected, encoding_format dropped', async () => {
+    const calls = stubFetch({ vectors: [[0.1, 0.2]] });
+    await minimaxCompatFetch(EMBED_URL, {
+      method: 'POST',
+      headers: { 'content-type': 'application/json', 'content-length': '99' },
+      body: JSON.stringify({ model: 'embo-01', input: ['hello', 'world'], encoding_format: 'float' }),
+    });
+    const wire = JSON.parse(calls[0]!.init!.body as string);
+    expect(wire.texts).toEqual(['hello', 'world']);
+    expect(wire.input).toBeUndefined();
+    expect(wire.encoding_format).toBeUndefined();
+    expect(wire.type).toBe('db');
+    expect(new Headers(calls[0]!.init!.headers).get('content-length')).toBeNull();
+  });
+
+  test('embedding response: {vectors} rewritten to OpenAI {data:[{embedding}]}', async () => {
+    stubFetch({ vectors: [[0.1, 0.2], [0.3, 0.4]], total_tokens: 7 });
+    const res = await minimaxCompatFetch(EMBED_URL, {
+      method: 'POST',
+      body: JSON.stringify({ model: 'embo-01', input: ['a', 'b'] }),
+    });
+    const json = await res.json();
+    expect(json.data).toEqual([
+      { object: 'embedding', embedding: [0.1, 0.2], index: 0 },
+      { object: 'embedding', embedding: [0.3, 0.4], index: 1 },
+    ]);
+    expect(json.usage).toEqual({ prompt_tokens: 7, total_tokens: 7 });
+  });
+
+  test('chat completion passes through with body UNREAD (consumed-body regression)', async () => {
+    stubFetch({ choices: [{ message: { role: 'assistant', content: 'hi' } }] });
+    const res = await minimaxCompatFetch(CHAT_URL, {
+      method: 'POST',
+      body: JSON.stringify({ model: 'MiniMax-M3', messages: [{ role: 'user', content: 'say hi' }] }),
+    });
+    expect(res.bodyUsed).toBe(false); // the broken PR #2882 wrapper consumed this
+    const json = await res.json(); // must NOT throw "Body already used"
+    expect(json.choices[0].message.content).toBe('hi');
+  });
+
+  test('chat request body is never rewritten (messages untouched, no type injected)', async () => {
+    const calls = stubFetch({ choices: [] });
+    const body = JSON.stringify({ model: 'MiniMax-M3', messages: [{ role: 'user', content: 'x' }] });
+    await minimaxCompatFetch(CHAT_URL, { method: 'POST', body });
+    expect(calls[0]!.init!.body).toBe(body);
+  });
+
+  test('embedding error response ({vectors:null, base_resp}) passes through re-readable', async () => {
+    stubFetch({ vectors: null, base_resp: { status_code: 2013, status_msg: 'invalid params' } });
+    const res = await minimaxCompatFetch(EMBED_URL, {
+      method: 'POST',
+      body: JSON.stringify({ model: 'embo-01', input: ['a'] }),
+    });
+    expect(res.bodyUsed).toBe(false);
+    const json = await res.json();
+    expect(json.base_resp.status_code).toBe(2013);
+  });
+
+  test('fail-open: non-JSON response body passes through untouched', async () => {
+    stubFetch('not json', { contentType: 'application/json' });
+    const res = await minimaxCompatFetch(EMBED_URL, {
+      method: 'POST',
+      body: JSON.stringify({ model: 'embo-01', input: ['a'] }),
+    });
+    expect(await res.text()).toBe('not json');
+  });
 });

test/lens-pack-manifests.test.ts

@@ -55,13 +55,13 @@ describe('v0.41 T4: all 4 bundled lens packs parse cleanly', () => {
 });
 
 describe('v0.41 T4: bundled registry includes lens packs', () => {
-  test('BUNDLED_PACK_NAMES includes the 4 lens pack names', async () => {
-    // The bundled list moved from load-active.ts to bundled.ts (the
-    // single source of truth); assert the array directly instead of
-    // grepping source text.
-    const { BUNDLED_PACK_NAMES } = await import('../src/core/schema-pack/bundled.ts');
+  test('load-active.ts BUNDLED array source includes the 4 lens pack names', () => {
+    const loadActiveSrc = readFileSync(
+      join(here, '..', 'src', 'core', 'schema-pack', 'load-active.ts'),
+      'utf-8',
+    );
     for (const name of PACK_NAMES) {
-      expect(BUNDLED_PACK_NAMES).toContain(name);
+      expect(loadActiveSrc).toContain(`'${name}'`);
     }
   });
 });

test/operations-schema-pack.test.ts

@@ -149,9 +149,6 @@ describe('list_schema_packs', () => {
       seedPack('mine');
       const result = await operationsByName.list_schema_packs!.handler(ctxOf(), {}) as { bundled: string[]; installed: string[] };
       expect(result.bundled).toContain('gbrain-base');
-      expect(result.bundled).toContain('gbrain-recommended');
-      expect(result.bundled).toContain('gbrain-base-v2');
-      expect(result.bundled).toContain('gbrain-investor');
       expect(result.installed).toContain('mine');
     });
   });

test/schema-cli.test.ts

@@ -64,14 +64,11 @@ describe('gbrain schema CLI (Phase C)', () => {
     expect(r.stdout + r.stderr).toMatch(/schema|active|list|show|validate|use/i);
   });
 
-  test('schema list shows all bundled packs', () => {
+  test('schema list shows gbrain-base bundled', () => {
     const r = gbrain(['schema', 'list']);
     expect(r.code).toBe(0);
     expect(r.stdout).toContain('Bundled packs:');
     expect(r.stdout).toContain('gbrain-base');
-    expect(r.stdout).toContain('gbrain-recommended');
-    expect(r.stdout).toContain('gbrain-base-v2');
-    expect(r.stdout).toContain('gbrain-investor');
   });
 
   test('schema show gbrain-base prints manifest details', () => {
@@ -100,40 +97,6 @@ describe('gbrain schema CLI (Phase C)', () => {
     expect(r.stdout).toContain('valid manifest');
   });
 
-  test('schema show/validate exposes bundled gbrain-recommended', () => {
-    const show = gbrain(['schema', 'show', 'gbrain-recommended']);
-    expect(show.code).toBe(0);
-    expect(show.stdout).toContain('gbrain-recommended v1.0.0');
-    expect(show.stdout).toContain('Page types (');
-    expect(show.stdout).toContain('meeting :: temporal');
-
-    const validate = gbrain(['schema', 'validate', 'gbrain-recommended']);
-    expect(validate.code).toBe(0);
-    expect(validate.stdout).toContain('valid manifest');
-  });
-
-  test('schema show exposes bundled gbrain-base-v2 successor pack', () => {
-    const r = gbrain(['schema', 'show', 'gbrain-base-v2']);
-    expect(r.code).toBe(0);
-    expect(r.stdout).toContain('gbrain-base-v2 v1.0.0');
-    expect(r.stdout).toContain('Page types (');
-    expect(r.stdout).toContain('Link verbs (14)');
-  });
-
-  test('schema active loads configured gbrain-recommended with real types', () => {
-    const home = mkdtempSync(join(tmpdir(), 'gbrain-schema-active-recommended-'));
-    try {
-      mkdirSync(join(home, '.gbrain'), { recursive: true });
-      writeFileSync(join(home, '.gbrain', 'config.json'), JSON.stringify({ schema_pack: 'gbrain-recommended' }), 'utf-8');
-      const r = gbrain(['schema', 'active'], { GBRAIN_HOME: home });
-      expect(r.code).toBe(0);
-      expect(r.stdout).toContain('Active pack: gbrain-recommended');
-      expect(r.stdout).not.toContain('Page types: 0');
-    } finally {
-      rmSync(home, { recursive: true, force: true });
-    }
-  });
-
   test('schema active reports default resolution', () => {
     const r = gbrain(['schema', 'active']);
     expect(r.code).toBe(0);

test/schema-pack-loader.test.ts

@@ -345,34 +345,6 @@ describe('YAML mini-parser', () => {
     expect(result.types[1].weight).toBe(2);
   });
 
-  test('parses block scalar without swallowing following keys', () => {
-    const yaml = `name: blocky
-description: |
-  First line.
-  Second line.
-page_types:
-  - name: meeting
-    primitive: temporal
-    path_prefixes:
-      - meetings/
-    aliases: []
-    extractable: true
-    expert_routing: false`;
-    const result = parseYamlMini(yaml) as { description: string; page_types: Array<Record<string, unknown>> };
-    expect(result.description).toBe('First line.\nSecond line.');
-    expect(result.page_types).toHaveLength(1);
-    expect(result.page_types[0].name).toBe('meeting');
-  });
-
-  test('block scalar keeps # as literal content, not a comment', () => {
-    const yaml = `description: |
-  See issue #2029 for context.
-name: hashy`;
-    const result = parseYamlMini(yaml) as Record<string, unknown>;
-    expect(result.description).toBe('See issue #2029 for context.');
-    expect(result.name).toBe('hashy');
-  });
-
   test('strips comments', () => {
     const result = parseYamlMini('# top comment\nname: value # inline comment') as Record<string, unknown>;
     expect(result.name).toBe('value');
@@ -402,27 +374,6 @@ extends: null`;
     const pack = loadPackFromString(json, 'fixture.json');
     expect(pack.name).toBe('json-pack');
   });
-
-  test('loads block-scalar pack descriptions without losing page types', () => {
-    const pack = loadPackFromString(`api_version: gbrain-schema-pack-v1
-name: recommended-fixture
-version: 1.0.0
-extends: gbrain-base
-description: |
-  Operational starter pack.
-page_types:
-  - name: meeting
-    primitive: temporal
-    path_prefixes:
-      - meetings/
-    aliases: []
-    extractable: true
-    expert_routing: false
-link_types: []`, 'fixture.yaml');
-    expect(pack.name).toBe('recommended-fixture');
-    expect(pack.extends).toBe('gbrain-base');
-    expect(pack.page_types.map((t) => t.name)).toContain('meeting');
-  });
 });
 
 describe('ReDoS guard', () => {

test/schema-pack-mutate.test.ts

@@ -103,10 +103,7 @@ describe('locateMutablePackFile — bundled guard', () => {
     expect(BUNDLED_PACK_NAMES.has('gbrain-recommended')).toBe(true);
     // v0.42 (T22): gbrain-base-v2 joins the bundled set.
     expect(BUNDLED_PACK_NAMES.has('gbrain-base-v2')).toBe(true);
-    // Derived from the single bundled registry — the lens packs (creator,
-    // investor, engineer, everything) are read-only too.
-    expect(BUNDLED_PACK_NAMES.has('gbrain-investor')).toBe(true);
-    expect(BUNDLED_PACK_NAMES.size).toBe(7);
+    expect(BUNDLED_PACK_NAMES.size).toBe(3);
   });
 
   it('rejects gbrain-base-v2 with PACK_READONLY (bundled guard)', () => {