Agent system for building autonomous LLM applications.

Provides core abstractions and implementations for agents.

Core Concepts

• Agent: Responsible for planning, deciding what action to execute next.
• AgentExecutor: Responsible for execution loop (plan -> act -> observe).
• Tool: Callable tools that agents can invoke.

Execution Flow

Input question
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Agent.plan() -> AgentAction or AgentFinish
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If Action: execute tool -> get observation
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Add to intermediate_steps
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Loop until AgentFinish returned