_get_ls_params() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ _get_ls_params() — langchain Function Reference

Dependency Diagram

graph TD
  3f68277e_70a2_a3d7_dd6c_e3ff55aa8706["_get_ls_params()"]
  2a683305_667b_3567_cab9_9f77e29d4afa["BaseChatOpenAI"]
  3f68277e_70a2_a3d7_dd6c_e3ff55aa8706 -->|defined in| 2a683305_667b_3567_cab9_9f77e29d4afa
  a10e6ce4_b133_c5d1_0803_af77a79a94f1["_get_invocation_params()"]
  3f68277e_70a2_a3d7_dd6c_e3ff55aa8706 -->|calls| a10e6ce4_b133_c5d1_0803_af77a79a94f1
  style 3f68277e_70a2_a3d7_dd6c_e3ff55aa8706 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/langchain_openai/chat_models/base.py lines 1714–1731

    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="openai",
            ls_model_name=params.get("model", self.model_name),
            ls_model_type="chat",
            ls_temperature=params.get("temperature", self.temperature),
        )
        if ls_max_tokens := params.get("max_tokens", self.max_tokens) or params.get(
            "max_completion_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