What is the agent loop (perceive-plan-act)?
The agent loop, also called the perceive-plan-act loop, is the repeated cycle where an AI agent observes its situation, decides what to do next, and then takes an action. This is the basic control pattern behind many agentic systems. Instead of asking a model for one one-off answer, you let it keep checking the world, updating its plan, and acting until the task is done or it should stop. You reach for it when the task is dynamic, multi-step, or depends on intermediate results: calling tools, br
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