_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 calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ _get_ls_params() — langchain Function Reference

Dependency Diagram

graph TD
  fd4658f0_e792_f5ad_bf91_a837575d3456["_get_ls_params()"]
  1a5cd25a_9420_c6b2_ec8d_2b53c6427514["ChatFireworks"]
  fd4658f0_e792_f5ad_bf91_a837575d3456 -->|defined in| 1a5cd25a_9420_c6b2_ec8d_2b53c6427514
  48bc6778_6ae3_9543_b75b_525491686e7a["_get_invocation_params()"]
  fd4658f0_e792_f5ad_bf91_a837575d3456 -->|calls| 48bc6778_6ae3_9543_b75b_525491686e7a
  style fd4658f0_e792_f5ad_bf91_a837575d3456 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/fireworks/langchain_fireworks/chat_models.py lines 445–460

    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="fireworks",
            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):
            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