feat(llm): forward configured reasoning_effort to native LLM calls - #26
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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.
cgycorey
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What
Adds an optional
reasoning_effortfield toLLMConfig(e.g.low/medium/high/max) and forwards it tolitellm.acompletionin bothchat()andchat_stream()when set.Why
Native (OpenOPC Native agent) LLM calls had no way to control model reasoning effort. The field is opt-in: unset by default, so non-OpenAI providers and existing configs are unaffected. Callers can still override per-call via kwargs (the injection skips when
reasoning_effortis already present).Scope
LLMProvidercalls only (both streaming and non-streaming paths — these are the only twolitellm.acompletioncall sites in the codebase).config.model_copy(deep=True).LLMProvider.Tests
tests/test_llm_provider_reasoning_effort.py— 4 tests covering config retention, chat forwarding, chat_stream forwarding, and the unset default (no param added). All pass locally.