return {**{"model": self.model_name}, **super()._invocation_params}
[docs]class AzureOpenAI(BaseOpenAI):
    """Azure-specific OpenAI large language models.
    To use, you should have the ``openai`` python package installed, and the
    environment variable ``OPENAI_API_KEY`` set with your API key.
    Any parameters that are valid to be passed to the openai.create call can be passed
    in, even if not explicitly saved on this class.
    Example:
        .. code-block:: python
            from langchain.llms import AzureOpenAI
            openai = AzureOpenAI(model_name="text-davinci-003")
    """
    deployment_name: str = ""
    """Deployment name to use."""
    openai_api_type: str = ""
    openai_api_version: str = ""
    @root_validator()
    def validate_azure_settings(cls, values: Dict) -> Dict:
        values["openai_api_version"] = get_from_dict_or_env(
            values,
            "openai_api_version",
            "OPENAI_API_VERSION",
        )
        values["openai_api_type"] = get_from_dict_or_env(
            values, "openai_api_type", "OPENAI_API_TYPE", "azure"
        )
        return values
    @property
    def _identifying_params(self) -> Mapping[str, Any]:
        return {
            **{"deployment_name": self.deployment_name},
            **super()._identifying_params,
        }
    @property
    def _invocation_params(self) -> Dict[str, Any]:
        openai_params = {
            "engine": self.deployment_name,
            "api_type": self.openai_api_type,
            "api_version": self.openai_api_version,