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A prompting pattern where an AI agent alternates between reasoning (thinking through the problem step by step) and acting (calling tools or taking actions). ReAct enables agents to plan, execute, observe results, and adjust—making them more reliable on complex, multi-step tasks than single-shot generation.
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