feat(langchain): forward provider-native modelSettings to chat models [PC-4672] - #119
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Adds model_settings to the langchain chat-model layer so agent.json's settings.modelSettings reaches the actual LLM call. UiPathBaseChatModel gets a model_settings field; get_chat_model gets a matching param that passes it into the client constructor.
Applied verbatim, no per-provider mapping. A validator walks each key: native fields on the vendor class (reasoning_effort on OpenAI, thinking/output_config on Anthropic, additional_model_request_fields on Bedrock) are set directly; anything else goes to model_kwargs; keys in disabled_params are skipped. Discovery owns the shape.
Langchain-only — core (src/uipath/llm_client/) is untouched, so the existing uipath-llm-client>=1.17.1 floor covers it. Bumped uipath-langchain-client to 1.18.0.
Tests build real OpenAI/Anthropic/Bedrock clients so the validator actually fires, and check native keys land as fields, unknowns go to model_kwargs, and disabled keys are skipped.