The Agent Changed Its Plan Mid-Run: Reconciling AI Decisions With Completed Temporal Activities

An AI agent rarely follows a long plan exactly as first proposed. Tool results expose missing facts, external systems change, policies arrive through human input, and a model may discover that an earlier assumption was wrong. ReAct-style agents were explicitly designed around this interleaving of reasoning, action, observation, and plan updates... Weiterlesen