langchain/llms/forefrontai.py/ForefrontAI/_call
class ForefrontAI:    def _call(
        self,
        prompt: str,
        stop: Optional[List[str]] = None,
        run_manager: Optional[CallbackManagerForLLMRun] = None,
    ) -> str:
        """Call out to ForefrontAI's complete endpoint.

        Args:
            prompt: The prompt to pass into the model.
            stop: Optional list of stop words to use when generating.

        Returns:
            The string generated by the model.

        Example:
            .. code-block:: python

                response = ForefrontAI("Tell me a joke.")
        """
        response = requests.post(
            url=self.endpoint_url,
            headers={
                "Authorization": f"Bearer {self.forefrontai_api_key}",
                "Content-Type": "application/json",
            },
            json={"text": prompt, **self._default_params},
        )
        response_json = response.json()
        text = response_json["result"][0]["completion"]
        if stop is not None:
            # I believe this is required since the stop tokens
            # are not enforced by the model parameters
            text = enforce_stop_tokens(text, stop)
        return text