_get_ls_params() — langchain Function Reference

Architecture documentation for the _get_ls_params() function in chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ _get_ls_params() — langchain Function Reference

Dependency Diagram

graph TD
  466fdea3_110c_5713_eca3_4f13aef9b934["_get_ls_params()"]
  24cf3ac3_ed46_66ab_27f4_5b5d67f0b7f0["ChatMistralAI"]
  466fdea3_110c_5713_eca3_4f13aef9b934 -->|defined in| 24cf3ac3_ed46_66ab_27f4_5b5d67f0b7f0
  style 466fdea3_110c_5713_eca3_4f13aef9b934 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/mistralai/langchain_mistralai/chat_models.py lines 533–548

    def _get_ls_params(
        self, stop: list[str] | None = None, **kwargs: Any
    ) -> LangSmithParams:
        """Get standard params for tracing."""
        params = self._get_invocation_params(stop=stop, **kwargs)
        ls_params = LangSmithParams(
            ls_provider="mistral",
            ls_model_name=params.get("model", self.model),
            ls_model_type="chat",
            ls_temperature=params.get("temperature", self.temperature),
        )
        if ls_max_tokens := params.get("max_tokens", self.max_tokens):
            ls_params["ls_max_tokens"] = ls_max_tokens
        if ls_stop := stop or params.get("stop", None):
            ls_params["ls_stop"] = ls_stop
        return ls_params