Verified65% confidenceFactExact time
Before ReAct was proposed, the industry mainly relied on Chain-of-Thought (CoT) prompts to guide models in step-by-step reasoning, but CoT's reasoning process could not invoke external tools or perceive execution results midway.
3
Sources
65%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
从Chat到Agent平台：AI应用工程化架构实战指南
Related Claims
UnverifiedReAct与Chain-of-Thought的本质区别在于：CoT是纯粹推理增强，思维发生在模型内部；ReAct则允许模型在推理中真实调用外部工具并纳入观察结果80% similarUnverifiedAnthropic、DeepMind等机构的研究表明CoT推理链存在系统性的后验合理化现象，即模型有时先得出答案再反向构造推理步骤76% similarUnverifiedReAct在每个推理步骤后触发实际工具调用，而Chain-of-Thought提示只做推理不调用工具74% similarVerified推理能力基于思维链（Chain-of-Thought, CoT）技术，模型在给出最终答案前生成内部逐步推导过程73% similarVerifiedThe ReAct framework forms a three-part cycle of Thought → Action → Observation, which differs from Chain-of-Thought (CoT) that reasons only within the model internally.72% similar
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