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/commands/models.ts

@@ -50,10 +50,6 @@ const PER_TASK_KEYS: Array<{ key: string; tier: ModelTier; description: string }
   { key: 'models.eval.contradictions_judge', tier: 'utility',  description: 'Contradiction probe judge (v0.34 temporal-aware)' },
   { key: 'models.expansion',                tier: 'utility',   description: 'Query expansion for hybrid search' },
   { key: 'models.chat',                     tier: 'reasoning', description: 'Default `gateway.chat()` model' },
-  { key: 'models.propose_takes',            tier: 'reasoning', description: 'propose_takes claim extractor' },
-  { key: 'models.grade_takes',              tier: 'reasoning', description: 'grade_takes verdict judge' },
-  { key: 'models.calibration_profile',      tier: 'reasoning', description: 'Calibration profile generator' },
-  { key: 'models.brainstorm',               tier: 'reasoning', description: '`gbrain brainstorm` orchestrator' },
 ];
 
 interface ModelEntry {

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/brainstorm/judges.ts

@@ -61,10 +61,7 @@ export const MAX_OUTPUT_TOKENS_CEIL = 32_000;
  * (with a readable error) instead of the provider's opaque HTTP 400.
  */
 export const ANTHROPIC_OUTPUT_CAPS: Record<string, number> = {
-  'claude-fable-5': 64_000,
-  'claude-opus-4-8': 32_000,
   'claude-opus-4-7': 32_000,
-  'claude-sonnet-5': 64_000,
   'claude-sonnet-4-6': 64_000,
   'claude-haiku-4-5': 64_000,
   'claude-haiku-4-5-20251001': 64_000,

src/core/brainstorm/orchestrator.ts

@@ -32,7 +32,6 @@
  */
 
 import type { BrainEngine } from '../engine.ts';
-import { resolveModel } from '../model-config.ts';
 import { chat as defaultChat, embedQuery, type ChatResult, type ChatOpts } from '../ai/gateway.ts';
 import { hybridSearch, hybridSearchCached } from '../search/hybrid.ts';
 import { fetchFar, type CloseRef, type FarPage } from './domain-bank.ts';
@@ -539,14 +538,7 @@ async function _runBrainstormInner(
   const embedFn = opts.embedQueryFn ?? embedQuery;
 
   // ---- Phase 0: cost preview + TTY grace ----
-  // Tier-resolved (mirrors the cycle phases): honors models.brainstorm >
-  // models.default > models.tier.reasoning; the fallback keeps stock
-  // behavior identical (reasoning tier default IS claude-sonnet-4-6).
-  const modelStr = opts.modelOverride ?? await resolveModel(engine, {
-    configKey: 'models.brainstorm',
-    tier: 'reasoning',
-    fallback: 'anthropic:claude-sonnet-4-6',
-  });
+  const modelStr = opts.modelOverride ?? 'anthropic:claude-sonnet-4-6';
   const { aborted, estimate } = await previewCostAndWait({
     profile,
     model: modelStr,

src/core/cycle/calibration-profile.ts

@@ -26,8 +26,8 @@
  */
 
 import { BaseCyclePhase, type ScopedReadOpts, type BasePhaseOpts } from './base-phase.ts';
-import { chat as gatewayChat, getChatModel } from '../ai/gateway.ts';
-import { resolveModel } from '../model-config.ts';
+import { chat as gatewayChat } from '../ai/gateway.ts';
+import { TIER_DEFAULTS } from '../model-config.ts';
 import { gateVoice, type VoiceGateGenerator, type VoiceGateJudge } from '../calibration/voice-gate.ts';
 import { patternStatementTemplate, type PatternStatementSlots } from '../calibration/templates.ts';
 // v0.41 T10 — domain widening. The aggregator module resolves the active
@@ -229,16 +229,7 @@ class CalibrationProfilePhase extends BaseCyclePhase {
   ): Promise<{ summary: string; details: Record<string, unknown>; status?: PhaseStatus }> {
     const holder = opts.holder ?? 'garry';
     const promptVersion = opts.promptVersion ?? CALIBRATION_PROFILE_PROMPT_VERSION;
-    // Resolved once (see propose-takes.ts for the chain): models.calibration_profile
-    // > models.default > env > the gateway's chat model (itself resolved
-    // through models.chat + the reasoning tier). Provider-prefixed per #2451
-    // — a bare id would make gateway.chat() throw "missing a provider
-    // prefix". Drives the generator's chat call, the budget label, and the
-    // persisted model_id, so the three can never disagree.
-    const modelId = opts.model ?? await resolveModel(engine, {
-      configKey: 'models.calibration_profile',
-      fallback: getChatModel(),
-    });
+    const modelId = opts.model ?? TIER_DEFAULTS.reasoning;
     const gradeCompletion = opts.gradeCompletion ?? 1.0;
     const patternsGenerator = opts.patternsGenerator ?? defaultPatternsGenerator;
     const biasTagsGenerator = opts.biasTagsGenerator ?? defaultBiasTagsGenerator;
@@ -274,7 +265,6 @@ class CalibrationProfilePhase extends BaseCyclePhase {
         scorecard,
         holder,
         attempt,
-        modelHint: modelId,
         ...(feedback !== undefined ? { feedback } : {}),
       });
       return lines.join('\n');

src/core/cycle/grade-takes.ts

@@ -36,9 +36,7 @@
 
 import { createHash } from 'node:crypto';
 import { BaseCyclePhase, type ScopedReadOpts, type BasePhaseOpts } from './base-phase.ts';
-import { chat as gatewayChat, getChatModel } from '../ai/gateway.ts';
-import { resolveModel } from '../model-config.ts';
-import { splitProviderModelId } from '../model-id.ts';
+import { chat as gatewayChat } from '../ai/gateway.ts';
 import { GBrainError } from '../types.ts';
 import type { OperationContext } from '../operations.ts';
 import type { BrainEngine, Take, TakeResolution } from '../engine.ts';
@@ -397,24 +395,7 @@ class GradeTakesPhase extends BaseCyclePhase {
     const autoResolve = opts.autoResolve ?? false; // D17 default OFF
     const autoResolveThreshold = opts.autoResolveThreshold ?? 0.95; // D12 conservative
     const resolvedByLabel = opts.resolvedByLabel ?? 'gbrain:grade_takes';
-    // Resolve the judge model ONCE (see propose-takes.ts for the chain —
-    // same label-vs-actual split fixed here: the judge call rode the
-    // gateway's chat_model while the grade cache key, evidence signature,
-    // and budget label recorded a hardcoded 4.6).
-    // NOTE: changing the resolved judge model invalidates the grade cache
-    // (judge_model_id is part of its key) — a one-time, budget-capped
-    // re-grade wave that is CORRECT, since the actual judge did change.
-    const judgeModelFull = opts.model ?? await resolveModel(engine, {
-      configKey: 'models.grade_takes',
-      fallback: getChatModel(),
-    });
-    // Bare tail for cache keys / evidence signatures / stored ids — the
-    // grade cache has always been keyed on bare ids; the gateway default
-    // resolves provider-prefixed, and normalizing preserves cache continuity
-    // on stock installs (no spurious re-judge wave from a prefix change). A
-    // genuinely different configured judge still invalidates, which is
-    // correct. The FULL string drives the actual judge call.
-    const judgeModelId = splitProviderModelId(judgeModelFull).model || judgeModelFull;
+    const judgeModelId = opts.model ?? 'claude-sonnet-4-6';
 
     const useEnsemble = opts.useEnsemble ?? false;
     const ensembleThreshold = opts.ensembleThreshold ?? 0.85;
@@ -487,7 +468,7 @@ class GradeTakesPhase extends BaseCyclePhase {
       // Call the single-model judge. Errors on a single take log warning + continue.
       let verdict: JudgeVerdict;
       try {
-        verdict = await judge({ take, evidence, modelHint: judgeModelFull });
+        verdict = await judge({ take, evidence, modelHint: opts.model });
       } catch (err) {
         const msg = err instanceof Error ? err.message : String(err);
         result.warnings.push(`judge failed on take ${take.id}: ${msg}`);

src/core/cycle/propose-takes.ts

@@ -5,16 +5,11 @@
  * a tuned LLM extractor, writes the extracted gradeable claims to the
  * `take_proposals` queue. User accepts/rejects via `gbrain takes propose`.
  *
- * Idempotency contract (D17 schema spec; per-claim rows since migration v125):
- *   Every scan of a (source_id, page_slug, content_hash, prompt_version)
- *   tuple leaves at least one row — one per extracted claim, or a single
- *   status='empty' sentinel when extraction yields nothing — so an unchanged
- *   page never re-spends LLM tokens. Pre-v125 only proposal rows were
- *   written: a zero-claim page never entered the cache and was re-extracted
- *   on EVERY cycle (observed live: ~60 such pages × every cycle ≈ 1,400
- *   wasted extractor calls / ~$15 per day — ~90% of total autopilot spend).
- *   Bumping PROPOSE_TAKES_PROMPT_VERSION cleanly invalidates the cache so a
- *   tuned prompt re-runs proposals on every page.
+ * Idempotency contract (D17 schema spec):
+ *   The unique index on (source_id, page_slug, content_hash, prompt_version)
+ *   means an unchanged page never re-spends LLM tokens. Bumping
+ *   PROPOSE_TAKES_PROMPT_VERSION cleanly invalidates the cache so a tuned
+ *   prompt re-runs proposals on every page.
  *
  * F2 fence dedup:
  *   The phase reads the page's existing `<!-- gbrain:takes:begin -->` fence
@@ -45,7 +40,6 @@
 import { randomUUID, createHash } from 'node:crypto';
 import { BaseCyclePhase, type ScopedReadOpts, type BasePhaseOpts } from './base-phase.ts';
 import { chat as gatewayChat, getChatModel } from '../ai/gateway.ts';
-import { resolveModel } from '../model-config.ts';
 import { writeReceipt } from '../extract/receipt-writer.ts';
 import { upsertExtractRollup } from '../extract/rollup-writer.ts';
 import { GBrainError } from '../types.ts';
@@ -313,18 +307,6 @@ class ProposeTakesPhase extends BaseCyclePhase {
     const promptVersion = opts.promptVersion ?? PROPOSE_TAKES_PROMPT_VERSION;
     const pageLimit = opts.pageLimit ?? 100;
     const skipPagesWithFence = opts.skipPagesWithFence ?? false;
-    // Resolve the extractor model ONCE: models.propose_takes >
-    // models.default > GBRAIN_MODEL env > the gateway's chat model (which
-    // reconfigureGatewayWithEngine already resolved through models.chat +
-    // the reasoning tier). One resolved provider-prefixed string drives the
-    // actual chat call, the budget estimate, AND the stored model_id — so
-    // the recorded model can never disagree with the model that ran (#2451
-    // convention: stored ids are provider-prefixed, nested prefixes like
-    // openrouter:anthropic/... stay intact).
-    const extractorModelId = opts.model ?? await resolveModel(engine, {
-      configKey: 'models.propose_takes',
-      fallback: getChatModel(),
-    });
     const proposalRunId = `propose-${new Date().toISOString().slice(0, 19).replace(/[-:T]/g, '')}-${randomUUID().slice(0, 8)}`;
 
     const result: ProposeTakesResult = {
@@ -348,6 +330,8 @@ class ProposeTakesPhase extends BaseCyclePhase {
       opts.reporter.start('propose_takes.pages' as never, pages.length);
     }
 
+    const modelId = opts.model ?? getChatModel();
+
     for (const page of pages) {
       result.pages_scanned += 1;
       this.tick(opts);
@@ -377,7 +361,7 @@ class ProposeTakesPhase extends BaseCyclePhase {
 
       // Budget pre-check before the LLM call. Estimate: ~1500 input tokens + 500 output.
       const budget = this.checkBudget({
-        modelId: extractorModelId,
+        modelId,
         estimatedInputTokens: 1500,
         maxOutputTokens: 500,
       });
@@ -396,7 +380,7 @@ class ProposeTakesPhase extends BaseCyclePhase {
           pagePath: page.slug,
           pageBody: body,
           existingTakes,
-          modelHint: extractorModelId,
+          modelHint: opts.model,
         });
       } catch (err) {
         const msg = err instanceof Error ? err.message : String(err);
@@ -404,42 +388,16 @@ class ProposeTakesPhase extends BaseCyclePhase {
         continue;
       }
 
-      // Zero-claim scans MUST still enter the idempotency cache. Pre-v125
-      // only proposal rows were written, so a page whose extraction yielded
-      // no gradeable claims never got a row for its (page, content_hash) —
-      // the cache check above missed on every subsequent cycle and the LLM
-      // call was re-spent on the same unchanged page, forever. The sentinel
-      // row (status='empty', empty claim_text) is invisible to the review
-      // queue (pending_idx is partial on status='pending'); it exists only
-      // so the cache check hits.
-      if (proposals.length === 0) {
-        await engine.executeRaw(
-          `INSERT INTO take_proposals
-             (source_id, page_slug, content_hash, prompt_version, proposal_run_id,
-              status, claim_text, kind, holder, weight, domain, dedup_against_fence_rows, model_id)
-           VALUES ($1, $2, $3, $4, $5, 'empty', '', 'none', 'brain', 0, NULL, NULL, $6)
-           ON CONFLICT (source_id, page_slug, content_hash, prompt_version, md5(claim_text)) DO NOTHING`,
-          [sourceId, page.slug, ch, promptVersion, proposalRunId, extractorModelId],
-        );
-        continue;
-      }
-
-      // Write proposals to take_proposals, one row per claim. The v125
-      // idempotency index includes md5(claim_text), so a same-page
-      // multi-claim run keeps EVERY claim — the pre-v125 four-column unique
-      // index made claims 2..N conflict with claim 1 and ON CONFLICT DO
-      // NOTHING silently dropped them (the review queue only ever saw the
-      // first claim of each page version). RETURNING id keeps
-      // proposals_inserted honest: it counts rows that actually landed,
-      // not insert attempts.
+      // Write proposals to take_proposals. Each row is a separate INSERT
+      // because the composite idempotency key is on the per-page tuple — a
+      // bulk UPSERT would collapse a same-page-multi-claim run into one row.
       for (const p of proposals) {
-        const landed = await engine.executeRaw<{ id: number }>(
+        await engine.executeRaw(
           `INSERT INTO take_proposals
              (source_id, page_slug, content_hash, prompt_version, proposal_run_id,
               claim_text, kind, holder, weight, domain, dedup_against_fence_rows, model_id)
            VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12)
-           ON CONFLICT (source_id, page_slug, content_hash, prompt_version, md5(claim_text)) DO NOTHING
-           RETURNING id`,
+           ON CONFLICT (source_id, page_slug, content_hash, prompt_version) DO NOTHING`,
           [
             sourceId,
             page.slug,
@@ -452,10 +410,10 @@ class ProposeTakesPhase extends BaseCyclePhase {
             p.weight,
             p.domain ?? null,
             JSON.stringify(existingTakes),
-            extractorModelId,
+            modelId,
           ],
         );
-        if (landed.length > 0) result.proposals_inserted += 1;
+        result.proposals_inserted += 1;
       }
     }
 

src/core/cycle/synthesize.ts

@@ -58,11 +58,8 @@ const SUMMARY_SLUG_RE = /^[a-z0-9][a-z0-9\-]*(\/[a-z0-9][a-z0-9\-]*)*$/;
  * resolver returns for known Anthropic aliases.
  */
 const MODEL_CONTEXT_TOKENS: Record<string, number> = {
-  'claude-fable-5': 1_000_000,
-  'claude-opus-4-8': 1_000_000,
   'claude-opus-4-7': 1_000_000,
   'claude-opus-4-6': 1_000_000,
-  'claude-sonnet-5': 1_000_000,
   'claude-sonnet-4-6': 200_000,
   'claude-sonnet-4-5': 200_000,
   'claude-haiku-4-5-20251001': 200_000,

src/core/migrate.ts

@@ -5671,41 +5671,6 @@ export const MIGRATIONS: Migration[] = [
 `);
     },
   },
-  {
-    version: 125,
-    name: 'take_proposals_empty_scan_sentinels_and_per_claim_rows',
-    // v0.42.x — kill the propose_takes rescan loop + stop dropping claims.
-    //
-    // Two defects, one schema touch:
-    //   1. Zero-claim scans never entered the idempotency cache (only
-    //      proposal rows were written), so pages whose extraction yielded
-    //      nothing were re-extracted on EVERY cycle. Observed live: ~60
-    //      such pages per run ≈ 1,400 wasted extractor calls / ~$15 per
-    //      day — ~90% of total autopilot LLM spend. Fix: the phase now
-    //      writes a status='empty' sentinel row per zero-claim scan; the
-    //      status CHECK gains the 'empty' value. Sentinels are excluded
-    //      from the partial pending index, so the review queue never sees
-    //      them.
-    //   2. The 4-column unique index collapsed a same-page multi-claim run
-    //      to its FIRST claim: rows 2..N conflicted and ON CONFLICT DO
-    //      NOTHING silently dropped them (verified live: exactly one row
-    //      per (page, hash) across 3 days of runs). Fix: the idempotency
-    //      index gains md5(claim_text) — per-claim rows, while the
-    //      4-column prefix still serves the per-scan cache lookup.
-    //
-    // Existing data is index-safe by construction: the old index guaranteed
-    // at most one row per 4-tuple, so the widened index has no duplicates
-    // to trip on. The DROP+ADD CONSTRAINT pair is idempotent as a unit.
-    idempotent: true,
-    sql: `
-      ALTER TABLE take_proposals DROP CONSTRAINT IF EXISTS take_proposals_status_check;
-      ALTER TABLE take_proposals ADD CONSTRAINT take_proposals_status_check
-        CHECK (status IN ('pending','accepted','rejected','superseded','empty'));
-      DROP INDEX IF EXISTS take_proposals_idempotency_idx;
-      CREATE UNIQUE INDEX IF NOT EXISTS take_proposals_idempotency_idx
-        ON take_proposals (source_id, page_slug, content_hash, prompt_version, md5(claim_text));
-    `,
-  },
 ];
 
 export const LATEST_VERSION = MIGRATIONS.length > 0

src/core/pglite-schema.ts

@@ -762,7 +762,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
   proposed_at                 TIMESTAMPTZ  NOT NULL DEFAULT now(),
   proposal_run_id             TEXT         NOT NULL,
   status                      TEXT         NOT NULL DEFAULT 'pending'
-                                           CHECK (status IN ('pending','accepted','rejected','superseded','empty')),
+                                           CHECK (status IN ('pending','accepted','rejected','superseded')),
   claim_text                  TEXT         NOT NULL,
   kind                        TEXT         NOT NULL,
   holder                      TEXT         NOT NULL,
@@ -777,7 +777,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
   predicted_brier_bucket_n    INTEGER
 );
 CREATE UNIQUE INDEX IF NOT EXISTS take_proposals_idempotency_idx
-  ON take_proposals (source_id, page_slug, content_hash, prompt_version, md5(claim_text));
+  ON take_proposals (source_id, page_slug, content_hash, prompt_version);
 CREATE INDEX IF NOT EXISTS take_proposals_pending_idx
   ON take_proposals (source_id, status, proposed_at DESC)
   WHERE status = 'pending';

src/core/schema-embedded.ts

@@ -1274,14 +1274,8 @@ CREATE INDEX IF NOT EXISTS calibration_profiles_published_idx
   WHERE published = true;
 
 -- take_proposals: propose_takes phase queue. Idempotency cache via the
--- composite unique index (source_id, page_slug, content_hash, prompt_version,
--- md5(claim_text)) — the 4-column prefix is the per-scan cache key (mirrors
--- v0.23 dream_verdicts); md5(claim_text) makes rows per-claim so multi-claim
--- pages keep every claim (v125). status='empty' rows are zero-claim scan
--- sentinels: they hold the cache slot for a page version whose extraction
--- yielded nothing — the phase never re-spends the LLM call on that page
--- version. Excluded from the partial pending index. proposal_run_id supports
--- --rollback by run.
+-- composite unique index (source_id, page_slug, content_hash, prompt_version)
+-- mirrors v0.23 dream_verdicts. proposal_run_id supports --rollback by run.
 CREATE TABLE IF NOT EXISTS take_proposals (
   id                          BIGSERIAL PRIMARY KEY,
   source_id                   TEXT         NOT NULL REFERENCES sources(id) ON DELETE CASCADE,
@@ -1292,7 +1286,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
   proposed_at                 TIMESTAMPTZ  NOT NULL DEFAULT now(),
   proposal_run_id             TEXT         NOT NULL,
   status                      TEXT         NOT NULL DEFAULT 'pending'
-                                           CHECK (status IN ('pending','accepted','rejected','superseded','empty')),
+                                           CHECK (status IN ('pending','accepted','rejected','superseded')),
   claim_text                  TEXT         NOT NULL,
   kind                        TEXT         NOT NULL,
   holder                      TEXT         NOT NULL,
@@ -1307,7 +1301,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
   predicted_brier_bucket_n    INTEGER
 );
 CREATE UNIQUE INDEX IF NOT EXISTS take_proposals_idempotency_idx
-  ON take_proposals (source_id, page_slug, content_hash, prompt_version, md5(claim_text));
+  ON take_proposals (source_id, page_slug, content_hash, prompt_version);
 CREATE INDEX IF NOT EXISTS take_proposals_pending_idx
   ON take_proposals (source_id, status, proposed_at DESC)
   WHERE status = 'pending';

src/schema.sql

@@ -1270,14 +1270,8 @@ CREATE INDEX IF NOT EXISTS calibration_profiles_published_idx
   WHERE published = true;
 
 -- take_proposals: propose_takes phase queue. Idempotency cache via the
--- composite unique index (source_id, page_slug, content_hash, prompt_version,
--- md5(claim_text)) — the 4-column prefix is the per-scan cache key (mirrors
--- v0.23 dream_verdicts); md5(claim_text) makes rows per-claim so multi-claim
--- pages keep every claim (v125). status='empty' rows are zero-claim scan
--- sentinels: they hold the cache slot for a page version whose extraction
--- yielded nothing — the phase never re-spends the LLM call on that page
--- version. Excluded from the partial pending index. proposal_run_id supports
--- --rollback by run.
+-- composite unique index (source_id, page_slug, content_hash, prompt_version)
+-- mirrors v0.23 dream_verdicts. proposal_run_id supports --rollback by run.
 CREATE TABLE IF NOT EXISTS take_proposals (
   id                          BIGSERIAL PRIMARY KEY,
   source_id                   TEXT         NOT NULL REFERENCES sources(id) ON DELETE CASCADE,
@@ -1288,7 +1282,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
   proposed_at                 TIMESTAMPTZ  NOT NULL DEFAULT now(),
   proposal_run_id             TEXT         NOT NULL,
   status                      TEXT         NOT NULL DEFAULT 'pending'
-                                           CHECK (status IN ('pending','accepted','rejected','superseded','empty')),
+                                           CHECK (status IN ('pending','accepted','rejected','superseded')),
   claim_text                  TEXT         NOT NULL,
   kind                        TEXT         NOT NULL,
   holder                      TEXT         NOT NULL,
@@ -1303,7 +1297,7 @@ CREATE TABLE IF NOT EXISTS take_proposals (
   predicted_brier_bucket_n    INTEGER
 );
 CREATE UNIQUE INDEX IF NOT EXISTS take_proposals_idempotency_idx
-  ON take_proposals (source_id, page_slug, content_hash, prompt_version, md5(claim_text));
+  ON take_proposals (source_id, page_slug, content_hash, prompt_version);
 CREATE INDEX IF NOT EXISTS take_proposals_pending_idx
   ON take_proposals (source_id, status, proposed_at DESC)
   WHERE status = 'pending';

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/calibration-profile.test.ts

@@ -38,7 +38,6 @@ function buildMockEngine(opts: { scorecard: TakesScorecard }): {
 } {
   const captured: CapturedSql[] = [];
   const engine = {
-    async getConfig() { return null; },
     kind: 'pglite',
     async getScorecard() {
       return opts.scorecard;

test/grade-takes-ensemble.test.ts

@@ -47,7 +47,6 @@ function buildMockEngine(opts: { takes: Take[] }): {
   const captured: CapturedSql[] = [];
   const resolves: CapturedResolve[] = [];
   const engine = {
-    async getConfig() { return null; },
     kind: 'pglite',
     async listTakes() {
       return opts.takes;

test/grade-takes.test.ts

@@ -46,14 +46,12 @@ interface CapturedResolve {
 function buildMockEngine(opts: {
   takes: Take[];
   cachedGrades?: Set<string>; // composite-key strings already in take_grade_cache
-  config?: Record<string, string>; // engine.getConfig plane (models.grade_takes etc.)
 }): { engine: BrainEngine; captured: CapturedSql[]; resolves: CapturedResolve[] } {
   const captured: CapturedSql[] = [];
   const resolves: CapturedResolve[] = [];
   const cached = opts.cachedGrades ?? new Set<string>();
 
   const engine = {
-    async getConfig(key: string) { return opts.config?.[key] ?? null; },
     kind: 'pglite',
     async listTakes() {
       return opts.takes;
@@ -226,28 +224,6 @@ describe('runPhaseGradeTakes — phase integration', () => {
     expect(resolves).toHaveLength(0); // no canonical mutation
   });
 
-  test('models.grade_takes config drives the judge call; cache key stays bare-tailed', async () => {
-    // Pre-fix the judge call rode the gateway's chat_model while the cache
-    // key / budget label recorded a hardcoded 'claude-sonnet-4-6'. The phase
-    // now resolves models.grade_takes; the judge gets the FULL string and
-    // the cache row keys on the bare tail (continuity with historical rows).
-    const takes = [buildTake({ id: 1, sinceDate: '2023-01-01' })];
-    const { engine, captured } = buildMockEngine({
-      takes,
-      config: { 'models.grade_takes': 'anthropic:claude-sonnet-5' },
-    });
-    const hints: Array<string | undefined> = [];
-    const judge: JudgeFn = async ({ modelHint }) => {
-      hints.push(modelHint);
-      return { verdict: 'correct', confidence: 0.9, reasoning: 'held' };
-    };
-    const result = await runPhaseGradeTakes(buildCtx(engine), { judge });
-    expect(result.status).toBe('ok');
-    expect(hints).toEqual(['anthropic:claude-sonnet-5']); // actual call gets the FULL string
-    const inserts = captured.filter(c => c.sql.includes('INSERT INTO take_grade_cache'));
-    expect(inserts[0]!.params[2]).toBe('claude-sonnet-5'); // judge_model_id is the bare tail
-  });
-
   test('D17: auto-resolve OFF by default — even high-confidence verdict does NOT mutate takes', async () => {
     const takes = [buildTake({ id: 1, sinceDate: '2023-01-01' })];
     const { engine, resolves } = buildMockEngine({ takes });

test/propose-takes-rescan.test.ts

@@ -1,160 +0,0 @@
-/**
- * propose_takes rescan-loop + dropped-claims regression tests (migration v125).
- *
- * Two live-observed defects, both fixed by the v125 schema + phase change:
- *
- *   1. RESCAN LOOP — a page whose extraction yielded zero claims never
- *      entered the idempotency cache (only proposal rows were written), so
- *      every cycle re-spent the extractor call on the same unchanged page.
- *      Live impact: ~60 such pages × every cycle ≈ 1,400 wasted LLM calls
- *      (~$15) per day — ~90% of total autopilot spend. Fix: status='empty'
- *      sentinel row per zero-claim scan.
- *
- *   2. DROPPED CLAIMS — the 4-column unique index collapsed a same-page
- *      multi-claim run to its first claim (rows 2..N conflicted, ON CONFLICT
- *      DO NOTHING dropped them silently; verified live: exactly 1 row per
- *      (page, hash) over 3 days). Fix: idempotency index gains
- *      md5(claim_text).
- *
- * Hermetic: PGLite engine + injected extractor; no gateway, no LLM.
- */
-import { describe, test, expect, beforeAll, afterAll } from 'bun:test';
-import { PGLiteEngine } from '../src/core/pglite-engine.ts';
-import { runPhaseProposeTakes, type ProposeTakesExtractor, type ProposedTake } from '../src/core/cycle/propose-takes.ts';
-import type { OperationContext } from '../src/core/operations.ts';
-
-let engine: PGLiteEngine;
-
-function ctx(): OperationContext {
-  return {
-    engine,
-    remote: false,
-    config: {} as OperationContext['config'],
-    logger: { info() {}, warn() {}, error() {}, debug() {} } as unknown as OperationContext['logger'],
-  } as unknown as OperationContext;
-}
-
-/** Extractor stub that counts invocations per page slug. */
-function countingExtractor(
-  claimsBySlug: Record<string, ProposedTake[]>,
-): { extractor: ProposeTakesExtractor; calls: string[] } {
-  const calls: string[] = [];
-  const extractor: ProposeTakesExtractor = async ({ pagePath }) => {
-    calls.push(pagePath);
-    return claimsBySlug[pagePath] ?? [];
-  };
-  return { extractor, calls };
-}
-
-beforeAll(async () => {
-  engine = new PGLiteEngine();
-  await engine.connect({});
-  await engine.initSchema();
-  await engine.putPage('notes/zero-claims', {
-    type: 'note',
-    title: 'pure narrative',
-    compiled_truth: 'A quiet walk in the park. Nothing opinionated happened at all today.',
-  });
-  await engine.putPage('notes/three-claims', {
-    type: 'note',
-    title: 'opinionated',
-    compiled_truth: 'I bet acme-example wins the market. widget-co will struggle. fund-a is overexposed.',
-  });
-});
-
-afterAll(async () => {
-  await engine.disconnect();
-});
-
-describe('rescan loop — zero-claim scans enter the cache', () => {
-  test('second run cache-hits: extractor is NOT called again on unchanged pages', async () => {
-    const claims = {
-      'notes/three-claims': [
-        { claim_text: 'acme-example wins the market', kind: 'bet' as const, holder: 'brain', weight: 0.7 },
-        { claim_text: 'widget-co will struggle', kind: 'take' as const, holder: 'brain', weight: 0.6 },
-        { claim_text: 'fund-a is overexposed', kind: 'take' as const, holder: 'brain', weight: 0.55 },
-      ],
-    };
-
-    const first = countingExtractor(claims);
-    const r1 = await runPhaseProposeTakes(ctx(), { extractor: first.extractor });
-    expect(r1.status).toBe('ok');
-    // Both pages extracted on the first pass.
-    expect(first.calls).toContain('notes/zero-claims');
-    expect(first.calls).toContain('notes/three-claims');
-
-    const second = countingExtractor(claims);
-    const r2 = await runPhaseProposeTakes(ctx(), { extractor: second.extractor });
-    expect(r2.status).toBe('ok');
-    // THE regression: pre-fix the zero-claim page missed the cache every
-    // run and was re-extracted here. (Run 1's receipt page legitimately
-    // appears once — it's a new page — and its zero-claim scan now caches
-    // too; pre-fix, receipts re-scanned forever as well.)
-    expect(second.calls).not.toContain('notes/zero-claims');
-    expect(second.calls).not.toContain('notes/three-claims');
-
-    // Run 2 inserted nothing, so no new receipt page exists: run 3 must be
-    // fully quiescent — zero extractor calls, zero cache misses.
-    const third = countingExtractor(claims);
-    const r3 = await runPhaseProposeTakes(ctx(), { extractor: third.extractor });
-    expect(r3.status).toBe('ok');
-    expect(third.calls).toEqual([]);
-    expect((r3.details as Record<string, unknown>).cache_misses).toBe(0);
-  });
-
-  test('zero-claim scan wrote an "empty" sentinel invisible to the pending queue', async () => {
-    const sentinel = await engine.executeRaw<{ status: string; claim_text: string }>(
-      `SELECT status, claim_text FROM take_proposals WHERE page_slug = 'notes/zero-claims'`,
-      [],
-    );
-    expect(sentinel.length).toBe(1);
-    expect(sentinel[0].status).toBe('empty');
-    expect(sentinel[0].claim_text).toBe('');
-    const pending = await engine.executeRaw<{ n: number }>(
-      `SELECT COUNT(*)::int AS n FROM take_proposals WHERE page_slug = 'notes/zero-claims' AND status = 'pending'`,
-      [],
-    );
-    expect(Number(pending[0].n)).toBe(0);
-  });
-});
-
-describe('dropped claims — per-claim rows survive the idempotency index', () => {
-  test('a 3-claim page stores 3 rows and reports an honest inserted count', async () => {
-    const rows = await engine.executeRaw<{ claim_text: string }>(
-      `SELECT claim_text FROM take_proposals WHERE page_slug = 'notes/three-claims' AND status = 'pending' ORDER BY id`,
-      [],
-    );
-    // Pre-fix the 4-column unique index kept only the FIRST claim.
-    expect(rows.length).toBe(3);
-    expect(rows.map(r => r.claim_text)).toEqual([
-      'acme-example wins the market',
-      'widget-co will struggle',
-      'fund-a is overexposed',
-    ]);
-  });
-
-  test('content change re-extracts and stores the new version separately', async () => {
-    await engine.putPage('notes/zero-claims', {
-      type: 'note',
-      title: 'pure narrative',
-      compiled_truth: 'Updated: I now believe acme-example is undervalued and will re-rate within a year.',
-    });
-    const claims = {
-      'notes/zero-claims': [
-        { claim_text: 'acme-example is undervalued', kind: 'take' as const, holder: 'brain', weight: 0.6 },
-      ],
-    };
-    const run = countingExtractor(claims);
-    const r = await runPhaseProposeTakes(ctx(), { extractor: run.extractor });
-    expect(r.status).toBe('ok');
-    // Changed page re-extracts; the unchanged 3-claim page stays cached.
-    expect(run.calls).toEqual(['notes/zero-claims']);
-    expect((r.details as Record<string, unknown>).proposals_inserted).toBe(1);
-    const all = await engine.executeRaw<{ status: string }>(
-      `SELECT status FROM take_proposals WHERE page_slug = 'notes/zero-claims' ORDER BY id`,
-      [],
-    );
-    // Old hash's sentinel + new hash's pending claim coexist.
-    expect(all.map(r2 => r2.status).sort()).toEqual(['empty', 'pending']);
-  });
-});

test/propose-takes.test.ts

@@ -41,16 +41,12 @@ interface CapturedSql {
 function buildMockEngine(opts: {
   pages: Page[];
   existingProposals?: Set<string>; // composite-key strings already in take_proposals
-  config?: Record<string, string>; // engine.getConfig plane (models.tier.* etc.)
 }): { engine: BrainEngine; captured: CapturedSql[] } {
   const captured: CapturedSql[] = [];
   const existing = opts.existingProposals ?? new Set<string>();
 
   const engine = {
     kind: 'pglite',
-    async getConfig(key: string) {
-      return opts.config?.[key] ?? null;
-    },
     async listPages() {
       return opts.pages;
     },
@@ -63,12 +59,7 @@ function buildMockEngine(opts: {
         if (existing.has(key)) return [{ id: 1 } as unknown as T];
         return [];
       }
-      // INSERT ... RETURNING id — emulate a successful insert so the
-      // honest proposals_inserted counter (counts RETURNING rows, not
-      // attempts) sees the row land. Conflicted inserts would return [].
-      if (sql.includes('INSERT INTO take_proposals') && sql.includes('RETURNING id')) {
-        return [{ id: 1 } as unknown as T];
-      }
+      // INSERT — return nothing
       return [];
     },
   } as unknown as BrainEngine;
@@ -276,29 +267,6 @@ describe('runPhaseProposeTakes — phase integration', () => {
     expect(inserts[0]!.params[9]).toBe('market'); // domain
   });
 
-  test('extractor model resolves through models.propose_takes config', async () => {
-    // Pre-fix the phase's only model knob was the gateway chat model — there
-    // was no per-phase config key. The phase now resolves once via
-    // resolveModel(models.propose_takes > models.default > env > gateway
-    // chat model); the extractor hint and the stored model_id must both
-    // reflect the configured override (full provider-prefixed string, #2451).
-    const pages = [buildPage({ slug: 'wiki/concepts/tier-routing', body: 'Tier-routed models will win.' })];
-    const { engine, captured } = buildMockEngine({
-      pages,
-      config: { 'models.propose_takes': 'anthropic:claude-sonnet-5' },
-    });
-    const seen: Array<string | undefined> = [];
-    const extractor: ProposeTakesExtractor = async ({ modelHint }) => {
-      seen.push(modelHint);
-      return [{ claim_text: 'tier-routed models win', kind: 'bet', holder: 'brain', weight: 0.7 }];
-    };
-    const result = await runPhaseProposeTakes(buildCtx(engine), { extractor });
-    expect(result.status).toBe('ok');
-    expect(seen).toEqual(['anthropic:claude-sonnet-5']); // chat call gets the FULL string
-    const inserts = captured.filter(c => c.sql.includes('INSERT INTO take_proposals'));
-    expect(inserts[0]!.params[11]).toBe('anthropic:claude-sonnet-5'); // stored model_id matches the call
-  });
-
   test('cache hit: page already in take_proposals is skipped', async () => {
     const body = 'A page that was already processed.';
     const pages = [buildPage({ slug: 'wiki/old-page', body })];