_get_ls_params() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ _get_ls_params() — langchain Function Reference

Dependency Diagram

graph TD
  9e9fe5e3_84c1_c7ac_ac8a_f3360c03e0b9["_get_ls_params()"]
  4b940a4c_8618_3ca0_9fa5_c378f5b8f6ac["AzureChatOpenAI"]
  9e9fe5e3_84c1_c7ac_ac8a_f3360c03e0b9 -->|defined in| 4b940a4c_8618_3ca0_9fa5_c378f5b8f6ac
  style 9e9fe5e3_84c1_c7ac_ac8a_f3360c03e0b9 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/langchain_openai/chat_models/azure.py lines 740–755

    def _get_ls_params(
        self, stop: list[str] | None = None, **kwargs: Any
    ) -> LangSmithParams:
        """Get the parameters used to invoke the model."""
        params = super()._get_ls_params(stop=stop, **kwargs)
        params["ls_provider"] = "azure"
        if self.model_name:
            if self.model_version and self.model_version not in self.model_name:
                params["ls_model_name"] = (
                    self.model_name + "-" + self.model_version.lstrip("-")
                )
            else:
                params["ls_model_name"] = self.model_name
        elif self.deployment_name:
            params["ls_model_name"] = self.deployment_name
        return params