return (
                f"This was your previous work "
                f"(but I haven't seen any of it! I only see what "
                f"you return as final answer):\n{agent_scratchpad}"
            )
        else:
            return agent_scratchpad
    @classmethod
    def _get_default_output_parser(cls, **kwargs: Any) -> AgentOutputParser:
        return ChatOutputParser()
    @classmethod
    def _validate_tools(cls, tools: Sequence[BaseTool]) -> None:
        super()._validate_tools(tools)
        validate_tools_single_input(class_name=cls.__name__, tools=tools)
    @property
    def _stop(self) -> List[str]:
        return ["Observation:"]
[docs]    @classmethod
    def create_prompt(
        cls,
        tools: Sequence[BaseTool],
        system_message_prefix: str = SYSTEM_MESSAGE_PREFIX,
        system_message_suffix: str = SYSTEM_MESSAGE_SUFFIX,
        human_message: str = HUMAN_MESSAGE,
        format_instructions: str = FORMAT_INSTRUCTIONS,
        input_variables: Optional[List[str]] = None,
    ) -> BasePromptTemplate:
        tool_strings = "\n".join([f"{tool.name}: {tool.description}" for tool in tools])
        tool_names = ", ".join([tool.name for tool in tools])
        format_instructions = format_instructions.format(tool_names=tool_names)
        template = "\n\n".join(
            [
                system_message_prefix,
                tool_strings,
                format_instructions,
                system_message_suffix,
            ]
        )
        messages = [
            SystemMessagePromptTemplate.from_template(template),
            HumanMessagePromptTemplate.from_template(human_message),
        ]
        if input_variables is None: