temperature=0.12
                )
            >>>
            >>> # complete the prompt
            >>> result = client.complete(request, model=model_name)
        """
        response = self._post_request("complete", request, model)
        return CompletionResponse.from_json(response)

    def tokenize(
        self,
        request: TokenizationRequest,
        model: str,
    ) -> TokenizationResponse:
        """Tokenizes the given prompt for the given model.

        Parameters:
            request (TokenizationRequest, required):
                Parameters for the requested tokenization.

            model (string, required):
                Name of model to use. A model name refers to a model architecture (number of parameters among others).
                Always the latest version of model is used.

        Examples:
            >>> request = TokenizationRequest(
                    prompt="hello", token_ids=True, tokens=True
                )
            >>> response = client.tokenize(request, model=model_name)
        """
        response = self._post_request(
            "tokenize",
            request,
            model,
        )
        return TokenizationResponse.from_json(response)

    def detokenize(
        self,
        request: DetokenizationRequest,
        model: str,
    ) -> DetokenizationResponse:
        """Detokenizes the given prompt for the given model.

        Parameters:
            request (DetokenizationRequest, required):
                Parameters for the requested detokenization.

            model (string, required):
                Name of model to use. A model name refers to a model architecture (number of parameters among others).
                Always the latest version of model is used.

        Examples:
            >>> request = DetokenizationRequest(token_ids=[2, 3, 4])
            >>> response = client.detokenize(request, model=model_name)
        """
        response = sel