Args:
            text (str): Text to post.
            metadata (dict): Metadata to post.
        Returns:
            str: ID of the input.
        """
        try:
            from clarifai_grpc.grpc.api import resources_pb2, service_pb2
            from clarifai_grpc.grpc.api.status import status_code_pb2
            from google.protobuf.struct_pb2 import Struct  # type: ignore
        except ImportError as e:
            raise ImportError(
                "Could not import clarifai python package. "
                "Please install it with `pip install clarifai`."
            ) from e
        input_metadata = Struct()
        input_metadata.update(metadata)
        post_inputs_response = self._stub.PostInputs(
            service_pb2.PostInputsRequest(
                user_app_id=self._userDataObject,
                inputs=[
                    resources_pb2.Input(
                        data=resources_pb2.Data(
                            text=resources_pb2.Text(raw=text),
                            metadata=input_metadata,
                        )
                    )
                ],
            )
        )
        if post_inputs_response.status.code != status_code_pb2.SUCCESS:
            logger.error(post_inputs_response.status)
            raise Exception(
                "Post inputs failed, status: " + post_inputs_response.status.description
            )
        input_id = post_inputs_response.inputs[0].id
        return input_id
[docs]    def add_texts(
        self,
        texts: Iterable[str],
        metadatas: Optional[List[dict]] = None,
        ids: Optional[List[str]] = None,
        **kwargs: Any,
    ) -> List[str]:
        """Add texts to the Clarifai vectorstore. This will push the text
        to a Clarifai application.