fix(modelregistry): expose reasoning effort for DeepSeek V4 models - #931
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deepseek-v4-flash / deepseek-v4-pro expose thinking-mode effort control
through the OpenAI-compatible reasoning_effort parameter (low/high/max;
medium/xhigh map onto high). reasoningEffortsForModelName did not recognize
the deepseek family, so /effort only offered 'auto' for these models.
Advertise {low, high, max} so the /effort picker and Ctrl+T ring work, and
add fallback coverage for deepseek-v4-flash/pro/reasoner/chat.
WalkthroughThe model registry now recognizes DeepSeek model names and returns low, high, and max reasoning efforts. Tests cover four DeepSeek identifiers. ChangesDeepSeek effort inference
Estimated code review effort: 1 (Trivial) | ~5 minutes Merge Risk: ⚪ Minimal · up to The change exposes the intended reasoning-effort options for DeepSeek models and is otherwise merge-ready after normal checks. A minor comment update remains advisable so the documentation matches the full supported model scope. Possibly related PRs
Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In `@internal/modelregistry/catalog.go`:
- Around line 234-238: Update the comment in the strings.Contains(n, "deepseek")
branch to describe all DeepSeek model names handled by this fallback, including
reasoner, chat, and V4 variants; keep the existing condition unchanged.
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internal/modelregistry/catalog.gointernal/modelregistry/effort_fallback_test.go
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Problem
/effortin the TUI only offers auto for DeepSeek V4 models (deepseek-v4-flash,deepseek-v4-pro) served from the officialhttps://api.deepseek.com/v1endpoint.low/high/maxnever appear, and setting them by hand is rejected with "Active model does not expose reasoning effort controls."Root cause
reasoningEffortsForModelNameininternal/modelregistry/catalog.goonly recognizesgpt-5*/codex/o-series/hunyuanmodel names. DeepSeek falls through todefault: return nil, soRegistry.ReasoningEffortsreturns an empty set and the/effortpicker collapses to justauto.Evidence that DeepSeek supports effort
DeepSeek's official Thinking Mode docs state that
deepseek-v4-flash/deepseek-v4-proaccept the OpenAI-compatiblereasoning_effortparameter with valueslow/high/max(mediumandxhighare mapped ontohigh). Thinking mode is enabled by default with a default effort ofhigh.Change
Advertise
{low, high, max}for thedeepseekmodel family so the/effortpicker and the Ctrl+T effort ring work, and add fallback test coverage fordeepseek-v4-flash,deepseek-v4-pro,deepseek-reasoner, anddeepseek-chat.Verification
go test ./internal/modelregistry/...passes (new cases included)go test ./internal/providers/openai/...passesinternal/clifailures (TestRunAddDirDispatchForwardsGrantIntoExecScope,TestExecScopeReRegistrationSwapsCoreToolsByName,TestRunSandboxCheckJSONDeniesOutOfWorkspaceWrite) are pre-existing sandbox-environment failures — they fail identically on a clean checkout ofmain(d7ac85c)Summary by CodeRabbit
New Features
Tests