langchain/experimental/plan_and_execute/planners/base.py/LLMPlanner/plan
class LLMPlanner:    def plan(self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any) -> Plan:
        """Given input, decided what to do."""
        llm_response = self.llm_chain.run(**inputs, stop=self.stop, callbacks=callbacks)
        return self.output_parser.parse(llm_response)