_default_params() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ _default_params() — langchain Function Reference

Dependency Diagram

graph TD
  d451ef26_8931_6912_c994_ca646dac3d0b["_default_params()"]
  6bee45b2_b649_e251_1fdc_dcf49f8bb331["BaseOpenAI"]
  d451ef26_8931_6912_c994_ca646dac3d0b -->|defined in| 6bee45b2_b649_e251_1fdc_dcf49f8bb331
  style d451ef26_8931_6912_c994_ca646dac3d0b fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/langchain_openai/llms/base.py lines 345–371

    def _default_params(self) -> dict[str, Any]:
        """Get the default parameters for calling OpenAI API."""
        normal_params: dict[str, Any] = {
            "temperature": self.temperature,
            "top_p": self.top_p,
            "frequency_penalty": self.frequency_penalty,
            "presence_penalty": self.presence_penalty,
            "n": self.n,
            "seed": self.seed,
            "logprobs": self.logprobs,
        }

        if self.logit_bias is not None:
            normal_params["logit_bias"] = self.logit_bias

        if self.max_tokens is not None:
            normal_params["max_tokens"] = self.max_tokens

        if self.extra_body is not None:
            normal_params["extra_body"] = self.extra_body

        # Azure gpt-35-turbo doesn't support best_of
        # don't specify best_of if it is 1
        if self.best_of > 1:
            normal_params["best_of"] = self.best_of

        return {**normal_params, **self.model_kwargs}