fix(openrouter): profile moonshotai/kimi-k3 with truthful max_tokens and reasoning effort by easonLiangWorldedtech · Pull Request #1325 · Zoo-Code-Org/Zoo-Code

easonLiangWorldedtech · 2026-08-21T10:28:38Z

Related GitHub Issue

Closes: #1316

Description

OpenRouter reports max_completion_tokens: null for moonshotai/kimi-k3, so the generic fallback fabricated max_tokens = ceil(context_length * 0.2) (209,716 for a 1M context window), and since no reasoning effort was ever populated for non-Anthropic ids, the reasoning field was dropped from every request. Long turns then burned the upstream 32,768-token output cap on invisible thinking (measured: 507 s / 309 s turns, hidden reasoning billed as completion tokens).

This fix adds a Moonshot K3 capability profile:

const MOONSHOT_K3_OPENROUTER_PROFILE: Partial<ModelInfo> = {
	maxTokens: 32_768,
	supportsReasoningEffort: ["low", "high", "max"],
	reasoningEffort: "high",
	supportsTemperature: true,
	defaultTemperature: 1.0,
}

applied in two places:

Fetch time — parseOpenRouterModel() returns its result through the exported applyOpenRouterMoonshotK3Profile() (id-list based, matching the existing per-model override pattern in the same file),
Consumption time — OpenRouterHandler.getModel() re-applies the profile to the resolved record, because parsed records are persisted in the model cache and records cached before this profile existed still carry the fabricated value. This also covers the openRouterSpecificProvider endpoint path, which flows through the same getModel().

Result: a default Kimi K3 request now carries {"max_tokens": 32768, "temperature": 1, "reasoning": {"effort": "high"}}. The explicit temperature: 1.0 matches the issue's expected result (K3 is fixed at 1.0 upstream). The generic 0.2 fallback and all existing model overrides are untouched.

Notes:

Temperature decision (resolves the CodeRabbit linked-issue check): issue [BUG] OpenRouter + Kimi K3: requests sent with no reasoning effort and fabricated max_tokens=209,716 → multi-minute invisible-thinking turns #1316's expected result requires requests to carry an explicit temperature: 1.0, so the profile sets supportsTemperature: true + defaultTemperature: 1.0 — the same convention as the direct Moonshot provider's K3 profile (defaultTemperature: 1.0, // temperature is fixed at 1.0). Omitting the field (the earlier supportsTemperature: false approach) would have satisfied the server default but deviated from the issue's acceptance criteria.
moonshotai/kimi-latest is included in the id set as a forward-compatible alias — it is not currently listed in the live OpenRouter catalogue (verified against openrouter.ai/api/v1/models), so the entry is inert until/if OpenRouter lists it.
No src/shared/api.ts or ModelInfo type changes were needed: the array-capability + model-default-effort logic in shouldUseReasoningEffort and the reasoningEffort field already exist.
The latent finish_reason: "length" handling in NativeToolCallParser noted in the issue was left untouched (never observed firing; out of scope per the issue).

Test Procedure

cd src
pnpm exec vitest run api/providers/fetchers/__tests__/openrouter.spec.ts api/providers/__tests__/openrouter.spec.ts shared/__tests__/api.spec.ts
# 84/84 passing, incl. 9 new tests:
# - parse-time profile for moonshotai/kimi-k3 and moonshotai/kimi-latest (maxTokens 32768, ladder, default effort, temperature 1.0)
# - applyOpenRouterMoonshotK3Profile: stale-cache override, input non-mutation, pass-through for other models
# - OpenRouterHandler.fetchModel: stale cached record (209716 / boolean flag) corrected at consumption time
# - OpenRouterHandler.fetchModel: stale specific-provider endpoint record corrected when openRouterSpecificProvider is set
# - OpenRouterHandler.createMessage wire test: outgoing body has max_tokens 32768, temperature 1, reasoning {effort: "high"}
# - shouldUseReasoningEffort: array capability + model default with no settings -> true; enableReasoningEffort: false still wins
pnpm exec eslint --prune-suppressions --max-warnings=0 api/providers/fetchers/openrouter.ts api/providers/openrouter.ts api/providers/fetchers/__tests__/openrouter.spec.ts api/providers/__tests__/openrouter.spec.ts shared/__tests__/api.spec.ts   # clean, no suppression count changes
pnpm check-types   # 11/11 packages passing

Manual verification would additionally require a live OpenRouter key + Moonshot model access; the wire test asserts the exact outgoing request shape.

Pre-Submission Checklist

Issue Linked: This PR is linked to an approved GitHub Issue (see "Related GitHub Issue" above).
Scope: My changes are focused on the linked issue (one major feature/fix per PR).
Self-Review: I have performed a thorough self-review of my code.
Testing: New and/or updated tests have been added to cover my changes (see "Test Procedure").
Visual Snapshot (UI changes only): N/A — no UI changes.
Documentation Impact: No documentation updates are required.
Contribution Guidelines: I have read and agree to the Contributor Guidelines.

Get in Touch

easonLiangWorldedtech

…and reasoning effort OpenRouter reports max_completion_tokens: null for moonshotai/kimi-k3, so the generic fallback fabricated max_tokens = ceil(context_length * 0.2) (209,716 for a 1M window), and no reasoning effort was ever populated so the reasoning field was dropped from requests. Long turns then burned the upstream 32,768-token output cap on invisible thinking billed as completion tokens. Add a Moonshot K3 capability profile (maxTokens 32768, supportsReasoningEffort [low, high, max] with model default high, supportsTemperature false) applied in parseOpenRouterModel at fetch time and re-applied in OpenRouterHandler.getModel() at consumption time, so users with stale cached model info are fixed without a re-fetch. The default request body becomes {max_tokens: 32768, reasoning: {effort: high}} with temperature omitted (K3 is fixed at 1.0 server-side). Adds parse-time, stale-cache, and createMessage wire tests, plus shouldUseReasoningEffort cases for array capability with a model default effort.

coderabbitai · 2026-08-21T10:29:23Z

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📝 Summary

Summary by CodeRabbit

New Features
- Added tailored configuration for Moonshot K3 and Kimi Latest models.
- Set a 32,768-token limit and low, high, and max reasoning-effort options, with high selected by default.
- Disabled temperature controls for these models.
- Applied corrected settings to cached model information.
Bug Fixes
- Improved validation of reasoning-effort defaults, supported options, and disabled reasoning settings.

Walkthrough

The OpenRouter fetcher adds a Moonshot K3 profile for moonshotai/kimi-k3 and moonshotai/kimi-latest. Parsed and cached records now use a 32,768-token limit, default high reasoning effort, supported effort values, and disabled temperature support.

Changes

Moonshot K3 OpenRouter support

Layer / File(s)	Summary
Profile and reasoning capability contract `src/api/providers/fetchers/openrouter.ts`, `src/api/providers/fetchers/__tests__/openrouter.spec.ts`, `src/shared/__tests__/api.spec.ts`	The fetcher applies the Moonshot K3 profile during parsing. Tests cover both model IDs, profile immutability, unrelated models, and array-based reasoning-effort settings.
Cached model request flow `src/api/providers/openrouter.ts`, `src/api/providers/__tests__/openrouter.spec.ts`	`OpenRouterHandler` reapplies the profile to cached records before tool preferences. Tests verify corrected model data and requests with `max_tokens: 32768`, high reasoning effort, and no temperature.

Estimated code review effort: 3 (Moderate) | ~20 minutes

Merge Risk: ⚪ Minimal · up to 57d2c

The PR is merge-ready after normal checks, with one trivial test-isolation cleanup recommended to prevent a mocked OpenAI method from leaking into later tests.

Sequence Diagram(s)

sequenceDiagram
  participant OpenRouterHandler
  participant ModelCache
  participant applyOpenRouterMoonshotK3Profile
  participant applyRouterToolPreferences
  participant OpenRouterRequest
  OpenRouterHandler->>ModelCache: resolve model info
  ModelCache-->>OpenRouterHandler: cached model record
  OpenRouterHandler->>applyOpenRouterMoonshotK3Profile: reapply K3 profile
  applyOpenRouterMoonshotK3Profile-->>OpenRouterHandler: corrected model info
  OpenRouterHandler->>applyRouterToolPreferences: apply tool preferences
  applyRouterToolPreferences-->>OpenRouterHandler: request-ready model info
  OpenRouterHandler->>OpenRouterRequest: send max_tokens and reasoning effort

🚥 Pre-merge checks | ✅ 5 | ❌ 2

❌ Failed checks (1 warning, 1 inconclusive)

Check name	Status	Explanation	Resolution
Regression Evidence	⚠️ Warning	The new `OpenRouterHandler.getModel()` profile application lacks focused coverage for the specific-provider endpoint branch. The changed code first replaces the cached model with `this.endpoints[this.…	Add a handler-level test with `openRouterModelId: "moonshotai/kimi-k3"` and a configured `openRouterSpecificProvider`. Populate the selected endpoint with stale `maxTokens`, boolean `supportsReasoningEffort`, and default temperature data. C…
Linked Issues check	❓ Inconclusive	The changes address the main requirements in issue `#1316`: truthful max_tokens, reasoning effort, stale-cache correction, and model-specific handling. The implementation omits temperature instead of ex…	Confirm whether issue `#1316` requires an explicit temperature: 1.0 field or accepts omitting temperature to use the server default. Update the implementation or issue acceptance criteria accordingly, and document the decision in the pull req…

✅ Passed checks (5 passed)

Check name	Status	Explanation
Out of Scope Changes check	✅ Passed	The changes are focused on the linked OpenRouter Moonshot K3 issue. The shared reasoning-effort tests, Kimi Latest alias, stale-cache correction, and request serialization tests directly support the f…
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 1 functions across 5 files.
Trust And Persistence Invariants	✅ Passed	PASS — The changed implementation only adds an exact-ID capability profile and reapplies it to an immutable copy of model metadata. The profile does not execute model IDs, access secrets, alter approv…
Title check	✅ Passed	The title clearly and concisely identifies the OpenRouter fix for moonshotai/kimi-k3 and the corrected max_tokens and reasoning-effort handling.
Description check	✅ Passed	The description includes the linked issue, implementation details, testing procedure, checklist, documentation assessment, and reviewer context. It is complete and directly related to the pull request…

Full details: Linked Issues check

Explanation

The changes address the main requirements in issue #1316: truthful max_tokens, reasoning effort, stale-cache correction, and model-specific handling. The implementation omits temperature instead of explicitly sending temperature: 1.0, which differs from the issue's stated expected request but preserves Moonshot's fixed-temperature behavior through the server default.

Resolution

Confirm whether issue #1316 requires an explicit temperature: 1.0 field or accepts omitting temperature to use the server default. Update the implementation or issue acceptance criteria accordingly, and document the decision in the pull request or issue conversation.

Full details: Out of Scope Changes check

Explanation

The changes are focused on the linked OpenRouter Moonshot K3 issue. The shared reasoning-effort tests, Kimi Latest alias, stale-cache correction, and request serialization tests directly support the fix. The out-of-scope finish_reason handling remains unchanged.

Full details: Regression Evidence

Explanation

The new OpenRouterHandler.getModel() profile application lacks focused coverage for the specific-provider endpoint branch. The changed code first replaces the cached model with this.endpoints[this.options.openRouterSpecificProvider], then applies applyOpenRouterMoonshotK3Profile. The added stale-cache test uses no openRouterSpecificProvider and no endpoint record, and the handler test file has no endpoint references. A regression that applies the profile before endpoint selection would pass all current tests while sending stale endpoint values. This branch is a documented affected path in the PR description.

Resolution

Add a handler-level test with openRouterModelId: "moonshotai/kimi-k3" and a configured openRouterSpecificProvider. Populate the selected endpoint with stale maxTokens, boolean supportsReasoningEffort, and default temperature data. Call fetchModel() or getModel() and assert that the selected endpoint produces maxTokens: 32768, supportsReasoningEffort: ["low", "high", "max"], reasoningEffort: "high", and supportsTemperature: false; assert the derived request parameters as appropriate.

Full details: Trust And Persistence Invariants

Explanation

PASS — The changed implementation only adds an exact-ID capability profile and reapplies it to an immutable copy of model metadata. The profile does not execute model IDs, access secrets, alter approval controls, or add resource ownership. The PR adds no persistence writes; existing cache writes remain awaited through safeWriteJson, and the new getModel() path only derives request parameters. The actual diff contains no changed secret, filesystem, process, approval, or lifecycle sink.

Full details: Description check

Explanation

The description includes the linked issue, implementation details, testing procedure, checklist, documentation assessment, and reviewer context. It is complete and directly related to the pull request objectives.

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codecov · 2026-08-21T10:31:21Z

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✅ All modified and coverable lines are covered by tests.

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Lamonz88 · 2026-08-22T01:00:26Z

Thank you soo much for looking in to all this . I'm looking forward to the update . In the meantime , i'll keep running my custum compiled Zoocode extension

github-actions · 2026-08-29T23:06:07Z

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