"api_version": self.openai_api_version,
        }
        return {**openai_params, **super()._invocation_params}
    @property
    def _llm_type(self) -> str:
        """Return type of llm."""
        return "azure"
[docs]class OpenAIChat(BaseLLM):
    """OpenAI Chat 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 OpenAIChat
            openaichat = OpenAIChat(model_name="gpt-3.5-turbo")
    """
    client: Any  #: :meta private:
    model_name: str = "gpt-3.5-turbo"
    """Model name to use."""
    model_kwargs: Dict[str, Any] = Field(default_factory=dict)
    """Holds any model parameters valid for `create` call not explicitly specified."""
    openai_api_key: Optional[str] = None
    openai_api_base: Optional[str] = None
    # to support explicit proxy for OpenAI
    openai_proxy: Optional[str] = None
    max_retries: int = 6
    """Maximum number of retries to make when generating."""
    prefix_messages: List = Field(default_factory=list)
    """Series of messages for Chat input."""
    streaming: bool = False
    """Whether to stream the results or not."""
    allowed_special: Union[Literal["all"], AbstractSet[str]] = set()