ReAct模式实战指南：让AI Agent学会'先想后做'

The ReAct model is the most widely used agent reasoning paradigm in 2026, designed to enable AI to follow the principle of 'think before acting' when executing tasks. Compared to the Chain-of-Thought (CoT) model introduced in 2022, ReAct not only allows for reasoning but also enables the invocation of tools and information retrieval during the reasoning process. The core idea of ReAct is to utilize a cyclic 'Thought → Action → Observation' process, allowing AI to continue reasoning based on newly acquired information, thus effectively solving complex problems. The introduction of this model marks a significant advancement in AI reasoning capabilities, particularly in scenarios requiring real-time data and dynamic decision-making.