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Included review availability: Your plan provides up to 10 included reviews per hour; 3 remain after this review. 📝 WalkthroughWalkthroughThe model capability response adds optional top-level ChangesCapability mirroring
Priority: ⬇️ Low Estimated code review effort: 2 (Simple) | ~10 minutes Change: Feature Merge Risk: ⚪ Minimal · up to The mirrored fields and standard, long-tier, routed, and invalid-input behaviors are covered; the change is mergeable pending normal checks. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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리뷰 · 우선순위 68 / 80이 PR(#4802)은 Yum-wu가 올린 좁은 카탈로그 호환 개선이다. 바꾸는 파일은 지금 고치는 방법은 간단하다. 현재 라인 메인테이너의 판단이 필요한 지점
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In `@tests/providers/cursor/cursor-local-models-schema.test.ts`:
- Around line 127-136: The `/v1/models` endpoint test should also verify
top-level context_window and max_output_tokens on fetched model rows, not only
nested capability values. Update the endpoint assertions alongside the existing
fetched-row checks, preserving the current nested capability assertions.
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src/server/models-capabilities.tstests/providers/cursor/cursor-local-models-schema.test.ts
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abhisheksharma2411
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The compatibility argument is sound — flat context_window / max_output_tokens is what most OpenAI-compatible clients actually read, and the refactor to a single effectiveContextLength removes a duplicated ternary rather than adding one. Sanitising through positiveInt before mirroring is the right instinct too.
One thing worth deciding deliberately before this lands: the long tier is mirrored without the signal that travels with it.
Ran modelCapabilityFields({ contextWindow: 272000, longContextWindow: 922000, maxOutputTokens: 64000 }) on fix/models-listing-capacity-fields:
TOP-LEVEL (what a flat-property client reads)
context_window: 922000
context_length: 922000
max_output_tokens: 64000
NESTED (what Cursor reads)
capabilities.context_length: 922000
pricing: {"overrides":[{"min_prompt_tokens":272000}]}
In the nested shape those two always appear together — hasLongTier gates both the long context_length and the pricing.overrides entry saying everything past 272000 is a different tier (L177). A Cursor client reads the generous number and the caveat in the same row.
The mirror copies the window but not the caveat, and pricing stays in the Cursor-shaped part of the row. So the clients this PR exists to serve — the ones that read flat properties precisely because they don't parse the nested schema — see context_window: 922000 with nothing indicating that 650k of it is priced differently. A client that sizes its context budget off that number will do the thing the override exists to warn about.
Three ways to go, and I don't think it's my call which:
- Mirror the standard window (
contextLength) at the top level and leave the long tier to the nested shape. Conservative; a flat client never over-reaches, at the cost of under-advertising. - Mirror the long window as-is and say so in the PR description, as a deliberate "advertise the maximum, pricing is discoverable in the row" decision.
- Mirror the long window but also flatten the tier boundary alongside it, so the caveat reaches the same reader as the number.
The test already pins the long-tier behaviour (tiered.context_window === 922000), so whichever you pick, it'd be worth a line in that test saying why — otherwise the next person reading it can't tell the 922000 from a bug.
Everything else checks out — context_length and context_window agree, the non-tiered path is unchanged, and undefined inputs still omit the keys rather than emitting undefined.
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Summary
Mirrors top-level
context_window,context_length, andmax_output_tokensdirectly on model objects in/v1/modelsresponses alongside existing nestedcapabilities.*fields.External OpenAI-compatible tools and clients (e.g. pi-ai, DSH/Claude Code integrations, LibreChat) discover model capacities from flat top-level properties rather than Cursor's nested
capabilities.context_lengthandcapabilities.max_output_tokensschema. Mirroring these sanitized positive integers at the top level preserves Cursor compatibility while enabling universal client capacity auto-detection.Changes
src/server/models-capabilities.ts:modelCapabilityFields, emit top-levelcontext_window,context_lengthalias, andmax_output_tokenswhen effective positive limits are present.ModelCapabilityFieldsand in the module-level header.tests/providers/cursor/cursor-local-models-schema.test.ts:context_window,context_length, andmax_output_tokensmirroring on valid flat and long-tier inputs, as well as omission on empty/invalid inputs./v1/modelsendpoint rows (k3andsol).Verification
bun testcoveringmodelCapabilityFieldsand endpoint integration tests: all passed.Review readiness checklist
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