Unverified50% confidenceFactExact time
The ReAct pattern's core idea is to have the LLM alternately execute 'Reasoning' and 'Acting' steps in a loop to handle complex multi-step tasks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026
Sources
Related Claims
VerifiedReAct模式的执行流程包括：用户提出需求、智能体思考（Reasoning）、执行行动（Acting）、观察结果（Observation）、循环往复、返回答案六个步骤75% similarUnverifiedReAct强调单步推理-行动的紧密耦合，适合短链任务；AutoGPT类框架倾向先规划完整任务树再批量执行，适合长链任务72% similarUnverifiedReWOO和Plan-and-Execute等架构尝试将规划与执行阶段解耦，以减少LLM调用次数、降低延迟72% similarUnverifiedReAct更灵活能动态调整策略，Plan-and-Execute在长任务链中更稳定，减少局部错误导致的全局偏离72% similarUnverified典型的 ReAct 范式 Agent 可能需要经历 5-20 轮循环才能完成一个复杂任务，每轮循环都涉及至少一次 LLM 调用71% similar
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