Unverified50% confidenceSolutionExact time
Veta的核心机制是将屏幕截图或UI树转化为模型可理解的语义描述，再由LLM推理出下一步操作，借鉴了ReAct（Reasoning + Acting）框架
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Long-term
Relevance
7/19/2026
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Related Claims
VerifiedThe ReAct framework enables the model to interact with the external environment while reasoning—first reasoning about what to do, then calling external tools to act, then observing the results returned by the tools, iterating in a loop until the task is complete.72% similarUnverifiedThe core idea of ReAct is to have LLMs perform explicit reasoning before generating actions, and to feed execution results back to the model as observations to form a closed loop.71% 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71% similarVerifiedReAct 智能体的核心是「推理-行动-观察」循环，LLM 分析问题后决定调用工具，观察返回结果，若不满足则继续推理直到给出最终回复70% similarVerifiedModern agents typically operate based on the ReAct (Reasoning + Acting) paradigm, where the model first reasons about the current state and then decides which tool to call.70% similar
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