`gj TdZddlmZddlmZmZhdZdddZddd Z d d Z y ) 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 )maxultracd}|rt|tr}|jddurd}ng|jdxsdjj }t j||}t j||}|tvr|}|r(|Dchc]}t j||}}||vry|Scc}w)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 enabledFreffortN) isinstancedictgetstriplower_LM_EFFORT_ALIASES_LM_EFFORT_CLAMP_LM_VALID_EFFORTS)reasoning_configallowed_optionsrrawoptalloweds K/root/.hermes/venv/lib/python3.12/site-packages/agent/lmstudio_reasoning.pyresolve_lmstudio_effortr"#sFJ'7>    *e 3F#''17R>>@FFHC$((c2C"&&sC0C''?NO%))#s3OO   MPsB>N)rzOptional[dict]rzOptional[List[str]]returnz Optional[str]) __doc__ __future__rtypingrrrrrr"r!r)sT#!J$84#W5$(r(