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Based on past history and current inputs, decide what to do.
plan( self, intermediate_steps: list[tuple[AgentAction, str]], callbacks: Callbacks = None, **kwargs: Any = {} ) -> list[AgentAction] | AgentFinish
intermediate_steps
list[tuple[AgentAction, str]]
Steps the LLM has taken to date, along with the observations.
callbacks
Callbacks
None
Callbacks to run.
**kwargs
Any
{}
User inputs.
