i@dZddlmZddlmZmZhdZdddZddZdS)aLM Studio reasoning-effort resolution shared by the chat-completions transport and run_agent's iteration-limit summary path. LM Studio publishes per-model ``capabilities.reasoning.allowed_options`` (e.g. ``["off","on"]`` for toggle-style models, ``["off","minimal","low"]`` for graduated models). We map the user's ``reasoning_config`` onto LM Studio's OpenAI-compatible vocabulary, then clamp against the model's allowed set so the server doesn't 400 on an unsupported effort. ) annotations)ListOptional>lowhighnonexhighmediumminimalrr )offonreasoning_configOptional[dict]allowed_optionsOptional[List[str]]return Optional[str]cVd}|rt|tr{|ddurd}na|dpd}t ||}|t vr|}|rd|D}||vrdS|S) aReturn the ``reasoning_effort`` string to send to LM Studio, or ``None``. ``None`` means "omit the field": the user picked a level the model can't honor, so let LM Studio fall back to the model's declared default rather than silently substituting a different effort. When ``allowed_options`` is falsy (probe failed), skip clamping and send the resolved effort anyway. r enabledFreffortcDh|]}t||S)_LM_EFFORT_ALIASESget).0opts =/home/ubuntu/.hermes/hermes-agent/agent/lmstudio_reasoning.py z*resolve_lmstudio_effort..-s)OOO%))#s33OOON) isinstancedictrstriplowerr_LM_VALID_EFFORTS)rrrrawalloweds rresolve_lmstudio_effortr(sFJ'7>>    * *e 3 3FF#''117R>>@@FFHHC$((c22C'''OOOOO  4 Mr N)rrrrrr) __doc__ __future__rtypingrrr%rr(rr rr,sx#"""""!!!!!!!!JII$844r