text: "result",                "task_description",                "incomplete_tasks",                "objective",            ],        )        return cls(prompt=prompt, llm=llm, verbose=verbose)class TaskPrioritizationChain(LLMChain):    """Chain to prioritize tasks."""    @classmethod    def from_llm(cls, llm: BaseLLM, verbose: bool = True) -> LLMChain:        """Get the response parser."""        task_prioritization_template = (            "You are an task prioritization AI tasked with cleaning the formatting of and reprioritizing"            " the following tasks: {task_names}."            " Consider the ultimate objective of your team: {objective}."            " Do not remove any tasks. Return the result as a numbered list, like:"            " #. First task"            " #. Second task"            " Start the task list with number {next_task_id}."        )        prompt = PromptTemplate(            template=task_prioritization_template,