Optional memoryOptional config: any[]Use .batch() instead. Will be removed in 0.2.0.
This feature is deprecated and will be removed in the future.
It is not recommended for use.
Call the chain on all inputs in the list
Optional config: anyOptional tags: string[]Use .invoke() instead. Will be removed in 0.2.0.
Run the core logic of this chain and add to output if desired.
Wraps _call and handles memory.
Return a json-like object representing this chain.
Static deserializeLoad a chain from a json-like object describing it.
Static fromLLMAndStatic method that creates a new PlanAndExecuteAgentExecutor from a given LLM, a set of tools, and optionally a human message template. It uses the getDefaultPlanner and getDefaultStepExecutor methods to create the planner and step executor for the new agent executor.
A new PlanAndExecuteAgentExecutor instance.
Static getStatic method that returns a default planner for the agent. It creates a new LLMChain with a given LLM and a fixed prompt, and uses it to create a new LLMPlanner with a PlanOutputParser.
The Large Language Model (LLM) used to generate responses.
A new LLMPlanner instance.
Static getStatic method that returns a default step executor for the agent. It creates a new ChatAgent from a given LLM and a set of tools, and uses it to create a new ChainStepExecutor.
Optional humanA new ChainStepExecutor instance.
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Class representing a plan-and-execute agent executor. This agent decides on the full sequence of actions upfront, then executes them all without updating the plan. This is suitable for complex or long-running tasks that require maintaining long-term objectives and focus.