Unverified60% confidenceFactExact time
ReAct enables the model to dynamically revise its reasoning path based on tool return results by alternately generating three types of tokens: Thought, Action, and Observation.
2
Sources
60%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
VerifiedReAct combines reasoning and action, allowing the model to alternately generate natural language reasoning steps and concrete actions within a trajectory, making errors traceable and correctable.84% similarVerifiedReAct requires the model to explicitly output a "Thought—Action—Observation" triplet at each step, forming a traceable decision trajectory.83% similarVerifiedThe ReAct (Reasoning + Acting) framework enables models to alternately perform reasoning and action.83% similarUnverifiedReAct establishes an alternating execution protocol between reasoning traces and actions, writing observations returned by tools into the context before the next round of reasoning, laying the theoretical foundation for mainstream agent frameworks such as LangChain, AutoGPT, and Claude tool calling.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
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