ReAct: Reason and Act

Agent Reasoning Patterns Intermediate 4 min read Published
In this lesson

ReAct (Reason + Act) is the idea that made LLM agents practical: instead of answering in one go, the model writes a thought, takes an action (a tool call), reads the observation, and repeats. Thinking between actions lets it plan the next step from real results instead of guessing.

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