yj JdZddlmZddlmZmZhdZdddZddd ZddZ dS)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 )offonr )maxultrareasoning_configOptional[dict]allowed_optionsOptional[List[str]]return Optional[str]cd}|rt|tr|ddurd}n||dpd}t ||}t ||}|tvr|}|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/ragecks/.hermes/hermes-agent/agent/lmstudio_reasoning.py z*resolve_lmstudio_effort..9s)OOO%))#s33OOON) isinstancedictrstriplowerr_LM_EFFORT_CLAMP_LM_VALID_EFFORTS)rrrrawalloweds r resolve_lmstudio_effortr+#sFJ'7>>    * *e 3 3FF#''117R>>@@FFHHC$((c22C"&&sC00C'''OOOOO  4 Mr"N)rrrrrr) __doc__ __future__rtypingrrr(rr'r+rr"r r/s#"""""!!!!!!!!JII$844#W55r"