}
            )
        if self.openai_proxy:
            import openai
            openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy}  # type: ignore[assignment]  # noqa: E501
        return {**self._default_params, **openai_creds}
    def _get_invocation_params(
        self, stop: Optional[List[str]] = None, **kwargs: Any
    ) -> Dict[str, Any]:
        """Get the parameters used to invoke the model."""
        return {
            "model": self.model_name,
            **super()._get_invocation_params(stop=stop),
            **self._default_params,
            **kwargs,
        }
    @property
    def _llm_type(self) -> str:
        """Return type of chat model."""
        return "openai-chat"
    def _get_encoding_model(self) -> Tuple[str, tiktoken.Encoding]:
        tiktoken_ = _import_tiktoken()
        if self.tiktoken_model_name is not None:
            model = self.tiktoken_model_name
        else:
            model = self.model_name
            if model == "gpt-3.5-turbo":
                # gpt-3.5-turbo may change over time.
                # Returning num tokens assuming gpt-3.5-turbo-0301.
                model = "gpt-3.5-turbo-0301"
            elif model == "gpt-4":
                # gpt-4 may change over time.
                # Returning num tokens assuming gpt-4-0314.
                model = "gpt-4-0314"
        # Returns the number of tokens used by a list of messages.
        try: