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* v0.37.6.0 feat: voyage-code-3 discoverability + reindex-code cost-preview fix For agents indexing source code with gbrain, the right embedding model is now obvious — and the brain tells you so out loud. Decision tree + Topology 3 doc + Topology 3 setup-skill pointer + runtime stderr nudge from `gbrain reindex --code` against non-code-tuned models. Same diff fixes the stale hardcoded `text-embedding-3-large` in the cost preview that would have made the nudge land badly. Tests: 3 new files (recipe regression, nudge logic + CLI integration, cost-preview IRON-RULE regression). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * todos: file pre-existing doctor-report-remote score regression (#1215 follow-up) Noticed during /ship of v0.37.6.0. The skill_brain_first check added in v0.37.3.0 (#1215) appears to tank the doctor health score on fresh PGLite test brains, causing test/doctor-report-remote.test.ts:65 to fail with health_score: 50 (expects >=70). Pre-existing on master; not in this branch's touch surface. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
64 lines
2.8 KiB
TypeScript
64 lines
2.8 KiB
TypeScript
/**
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* v0.37.3 — voyage-code-3 registration regression pin.
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*
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* voyage-code-3 is the user-facing recommendation for gstack per-worktree
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* code brains (Topology 3 in docs/architecture/topologies.md). The model
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* was already registered before v0.37.3 but never surfaced as the right
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* default for code indexing. These assertions guard against a future
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* Voyage recipe refactor silently dropping voyage-code-3 from either the
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* allowlist or the flexible-dim set.
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*
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* Also pins voyage-code-3 on the SDK-supported `dimensions` field path
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* via dimsProviderOptions() — that's the v0.33.1.0 wire-key bug class.
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*/
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import { describe, expect, test } from 'bun:test';
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import { getRecipe } from '../../src/core/ai/recipes/index.ts';
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import {
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supportsVoyageOutputDimension,
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isValidVoyageOutputDim,
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dimsProviderOptions,
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VOYAGE_VALID_OUTPUT_DIMS,
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} from '../../src/core/ai/dims.ts';
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describe('recipe: voyage — voyage-code-3 registration', () => {
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test('voyage-code-3 is in the embedding touchpoint models list', () => {
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const r = getRecipe('voyage');
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expect(r).toBeDefined();
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expect(r!.touchpoints.embedding).toBeDefined();
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expect(r!.touchpoints.embedding!.models).toContain('voyage-code-3');
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});
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test('voyage-code-3 supports flexible output dimensions', () => {
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expect(supportsVoyageOutputDimension('voyage-code-3')).toBe(true);
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});
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test('all four canonical Voyage dims are accepted', () => {
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// The set is locked at 256/512/1024/2048 — flexible-dim Voyage models
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// (incl. voyage-code-3) accept exactly this set. Pinning each one
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// catches the v0.33.1.0-class regression where a Voyage flexible-dim
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// model accidentally falls back to default 1024 because dim validation
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// drifts.
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for (const dims of [256, 512, 1024, 2048]) {
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expect(isValidVoyageOutputDim(dims)).toBe(true);
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}
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expect([...VOYAGE_VALID_OUTPUT_DIMS]).toEqual([256, 512, 1024, 2048]);
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});
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test('dimsProviderOptions returns SDK-shape dimensions field (not output_dimension wire-key)', () => {
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// The v0.33.1.0 bug class: sending Voyage's `output_dimension` wire-key
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// through the AI SDK gets silently dropped (SDK doesn't recognize it),
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// Voyage falls back to default 1024, and any brain configured for
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// 2048 silently embeds at the wrong width. The fix in v0.33.1.1 routes
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// through the SDK-supported `dimensions` field; the voyageCompatFetch
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// shim then translates to output_dimension on the wire.
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const opts = dimsProviderOptions('openai-compatible', 'voyage-code-3', 1024);
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expect(opts).toBeDefined();
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// Shape: { openaiCompatible: { dimensions: 1024 } }
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expect(opts).toHaveProperty('openaiCompatible.dimensions', 1024);
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// Negative regression: no output_dimension on the providerOptions surface
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const raw = JSON.stringify(opts);
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expect(raw).not.toContain('output_dimension');
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});
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});
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