langchain_experimental.plan_and_execute.planners.base.LLMPlanner

class langchain_experimental.plan_and_execute.planners.base.LLMPlanner(*, llm_chain: LLMChain, output_parser: PlanOutputParser, stop: Optional[List] = None)

Bases: BasePlanner

LLM planner.

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

param llm_chain: langchain.chains.llm.LLMChain [Required]

The LLM chain to use.

param output_parser: langchain_experimental.plan_and_execute.schema.PlanOutputParser [Required]

The output parser to use.

param stop: Optional[List] = None

The stop list to use.

async aplan(inputs: dict, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → Plan

Given input, asynchronously decide what to do.

plan(inputs: dict, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → Plan

Given input, decide what to do.