) -> Dict[str, str]:
        _run_manager = run_manager or CallbackManagerForChainRun.get_noop_manager()
        question = inputs[self.input_key]
        output = self.question_to_checked_assertions_chain(
            {"question": question}, callbacks=_run_manager.get_child()
        )
        return {self.output_key: output["revised_statement"]}
    @property
    def _chain_type(self) -> str:
        return "llm_checker_chain"
[docs]    @classmethod
    def from_llm(
        cls,
        llm: BaseLanguageModel,
        create_draft_answer_prompt: PromptTemplate = CREATE_DRAFT_ANSWER_PROMPT,
        list_assertions_prompt: PromptTemplate = LIST_ASSERTIONS_PROMPT,
        check_assertions_prompt: PromptTemplate = CHECK_ASSERTIONS_PROMPT,
        revised_answer_prompt: PromptTemplate = REVISED_ANSWER_PROMPT,
        **kwargs: Any,
    ) -> LLMCheckerChain:
        question_to_checked_assertions_chain = (
            _load_question_to_checked_assertions_chain(
                llm,
                create_draft_answer_prompt,
                list_assertions_prompt,
                check_assertions_prompt,
                revised_answer_prompt,
            )
        )
        return cls(
            question_to_checked_assertions_chain=question_to_checked_assertions_chain,
            **kwargs,
        )