"""
        Evaluate the string distance between the prediction and the reference.
        Args:
            prediction (str): The prediction string.
            reference (Optional[str], optional): The reference string.
            input (Optional[str], optional): The input string.
            callbacks (Callbacks, optional): The callbacks to use.
            **kwargs: Additional keyword arguments.
        Returns:
            dict: The evaluation results containing the score.
        """
        result = self(
            inputs={"prediction": prediction, "reference": reference},
            callbacks=callbacks,
            tags=tags,
            metadata=metadata,
            include_run_info=include_run_info,
        )
        return self._prepare_output(result)
    async def _aevaluate_strings(
        self,
        *,
        prediction: str,
        reference: Optional[str] = None,
        input: Optional[str] = None,
        callbacks: Callbacks = None,
        tags: Optional[List[str]] = None,
        metadata: Optional[Dict[str, Any]] = None,
        include_run_info: bool = False,
        **kwargs: Any,
    ) -> dict:
        """
        Asynchronously evaluate the string distance between the
            prediction and the reference.
        Args:
            prediction (str): The prediction string.
            reference (Optional[str], optional): The reference string.
            input (Optional[str], optional): The input string.
            callbacks (Callbacks, optional): The callbacks to use.
            **kwargs: Additional keyword arguments.
        Returns:
            dict: The evaluation results containing the score.
        """
        result = await self.acall(
            inputs={"prediction": prediction, "reference": reference},
            callbacks=callbacks,
            tags=tags,
            metadata=metadata,