def embeddings_input()

in azure/functions/decorators/function_app.py [0:0]


    def embeddings_input(self,
                         arg_name: str,
                         input: str,
                         input_type: InputType,
                         model: Optional[str] = None,
                         max_chunk_length: Optional[int] = 8 * 1024,
                         max_overlap: Optional[int] = 128,
                         data_type: Optional[
                             Union[DataType, str]] = None,
                         **kwargs) \
            -> Callable[..., Any]:
        """
        The embeddings input decorator creates embeddings which will be used to
        measure the relatedness of text strings.

        Ref: https://platform.openai.com/docs/guides/embeddings

        :param arg_name: The name of binding parameter in the function code.
        :param input: The input source containing the data to generate
        embeddings for.
        :param input_type: The type of the input.
        :param model: The ID of the model to use.
        :param max_chunk_length: The maximum number of characters to chunk the
        input into. Default value: 8 * 1024
        :param max_overlap: The maximum number of characters to overlap
        between chunks. Default value: 128
        :param data_type: Defines how Functions runtime should treat the
        parameter value
        :param kwargs: Keyword arguments for specifying additional binding
        fields to include in the binding json

        :return: Decorator function.
        """

        @self._configure_function_builder
        def wrap(fb):
            def decorator():
                fb.add_binding(
                    binding=EmbeddingsInput(
                        name=arg_name,
                        input=input,
                        input_type=input_type,
                        model=model,
                        max_chunk_length=max_chunk_length,
                        max_overlap=max_overlap,
                        data_type=parse_singular_param_to_enum(data_type,
                                                               DataType),
                        **kwargs))
                return fb

            return decorator()

        return wrap