AI & MLagent-loop
Agent Loop
Also known asAgentic LoopReAct Loop
The core iterative execution cycle of an agentic AI system: Perceive, Reason, Act, Observe, Repeat. At each iteration, the agent assembles context, invokes an LLM to reason and select an action, executes via tools, observes the result, and feeds it back into the next iteration—continuing until the task is complete. The agent loop is the architectural pattern that distinguishes AI agents from simple chatbots.
Related terms
3AI & ML
AI Agent
An autonomous AI system that can plan, use tools, and take actions to accomplish goals. Agents use LLMs as the reasoning...
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Tool Use (Function Calling)
An LLM capability where the model generates structured calls to external tools/functions rather than just text. The mode...
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Reasoning Model
A class of LLMs trained with reinforcement learning to generate step-by-step internal chain-of-thought before producing...