Unverified60% confidenceFactExact time
ReAct通过交替生成Thought、Action、Observation三类token，使模型能根据工具返回结果动态修正推理路径
2
Sources
60%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
UnverifiedReAct将推理与行动结合，让模型在轨迹中交替生成自然语言推理步骤和具体行动，使错误可被追踪和纠正84% similarVerifiedReAct要求模型在每一步明确输出「思考—行动—观测」的三元组，形成可追踪的决策轨迹83% similarVerifiedReAct（Reasoning + Acting）框架让模型能够交替进行推理和行动83% similarUnverifiedReAct在推理轨迹和行动之间建立交替执行协议，将工具返回的观察结果写入上下文再进行下一轮推理，为LangChain、AutoGPT、Claude工具调用等主流智能体框架奠定理论基础80% similarUnverified在ReAct循环中，LLM每一步输出Thought→Action→Observation三元组，Observation来自工具执行的真实反馈80% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/556530API
curl https://kongchang.com/api/v1/knowledge/claims/556530MCP
get_claim(id=556530)