class AugmentedResponseHandler(ResponseHandler):
    """
    This Python class `AugmentedResponseHandler` extends `ResponseHandler` and
    implements methods for processing input and generating responses using a
    language model service.
    """

    def __init__(self, llm_interface):
        super().__init__(llm_interface)

    def generate_response(self, assembled_prompt):
        """
        The function `generate_response` calls a language model to generate a response based
        on a given prompt.

        :param assembled_prompt: It looks like the `generate_response` method is designed to
        generate a response using a language model. The `assembled_prompt` parameter likely
        contains the input prompt or context that will be used to generate the response
        :return: The `generate_response` method returns the response generated by calling the
        `generate_langchain_response` method of the `aug_service` object with the
        `assembled_prompt` as an argument.
        """

        # Focus on the specifics of how to interact with the language model.
        # Implement the details of calling the LLM and handling the response.
        return self.aug_service.generate_langchain_response(assembled_prompt)

class RAGResponseHandler(AugmentedResponseHandler):
    """
    The `RAGResponseHandler` class extends `AugmentedResponseHandler` and
    initializes `RAGServicer` object with specified interfaces and a vector store.
    """

    def __init__(self, llm_interface, embedding_interface, vectorstore):
        self.aug_service = RAGServicer(llm_interface, embedding_interface, vectorstore)
        super().__init__(llm_interface)

class SearchResponseHandler(AugmentedResponseHandler):
    """
    The `SearchResponseHandler` class extends `AugmentedResponseHandler` and initializes a
    `SearchServicer` object for handling search responses.
    """

    def __init__(self, llm_interface, searchable):
        self.aug_service = SearchServicer(llm_interface, searchable)
        super().__init__(llm_interface)