Unverified50% confidenceTradeoffExact time
Native agents typically have the model itself decide the next action (ReAct pattern), with the execution path dynamically generated at runtime and impossible to verify in advance.
1
Sources
50%
Confidence
Long-term
Relevance
9/30/2026
First Seen
Sources
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Related Claims
Unverified智能体的执行具有非确定性，同样的输入可能因模型的随机采样而产生不同输出，因此其恢复机制需要保存完整的执行轨迹和中间推理步骤79% 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.78% similarUnverifiedReAct 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.77% similarUnverifiedReAct框架让模型交替进行思考(Thought)和行动(Action)，泛化能力强但每一步推理存在不可忽视的随机性75% similarUnverifiedAsynchronous tool calls allow the model to continue processing other logic while waiting for a tool to return results, without blocking the entire inference pipeline.75% similar
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