_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
  b39f6f12_4d1b_6a96_1a02_49d36d18f0eb["_get_ls_params()"]
  977b57b2_5d0e_bcf4_a43e_b52857105005["ChatAnthropic"]
  b39f6f12_4d1b_6a96_1a02_49d36d18f0eb -->|defined in| 977b57b2_5d0e_bcf4_a43e_b52857105005
  style b39f6f12_4d1b_6a96_1a02_49d36d18f0eb fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/anthropic/langchain_anthropic/chat_models.py lines 965–982

    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="anthropic",
            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