feat(llm): forward configured reasoning_effort to native LLM calls

Add an optional reasoning_effort field to LLMConfig (e.g. low/medium/high/max) and forward it to litellm.acompletion in both chat() and chat_stream() when set. Unset by default so non-OpenAI providers are unaffected. Callers can still override per-call via kwargs.
2026-08-01 11:05:58 +01:00
parent 5f5fbf432e
commit 02290b3798
3 changed files with 108 additions and 0 deletions
@@ -273,6 +273,7 @@ class LLMConfig(BaseModel):
    fallback: dict[str, Any] = Field(default_factory=dict)
    temperature: float = 0.3
    max_tokens: int = 32768
+    reasoning_effort: str | None = None
    # Total input context window (tokens) for the active model. Set this when
    # the model is not mapped in litellm (e.g. proxy/self-hosted models like
    # doubao/minimax/glm), so the context-usage ring and compaction thresholds