elif response.status_code >= 400:
            raise ValueError(f"EdenAI received an invalid payload: {response.text}")
        elif response.status_code != 200:
            raise Exception(
                f"EdenAI returned an unexpected response with status "
                f"{response.status_code}: {response.text}"
            )
        output = self._format_output(response.json())
        if stops is not None:
            output = enforce_stop_tokens(output, stops)
        return output
    async def _acall(
        self,
        prompt: str,
        stop: Optional[List[str]] = None,
        run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
        **kwargs: Any,
    ) -> str:
        """Call EdenAi model to get predictions based on the prompt.
        Args:
            prompt: The prompt to pass into the model.
            stop: A list of stop words (optional).
            run_manager: A callback manager for async interaction with LLMs.
        Returns:
            The string generated by the model.
        """
        stops = None
        if self.stop_sequences is not None and stop is not None:
            raise ValueError(
                "stop sequences found in both the input and default params."
            )
        elif self.stop_sequences is not None:
            stops = self.stop_sequences
        else:
            stops = stop
        print("Running the acall")
        url = f"{self.base_url}/{self.feature}/{self.subfeature}"
        headers = {"Authorization": f"Bearer {self.edenai_api_key}"}
        payload = {
            **self.params,
            "providers": self.provider,
            "num_images": 1,  # always limit to 1 (ignored for text)