Tutorial breaks down the ReAct agent Thought-Action-Observation loop

On November 7, 2026 at 20:22, Juejin published an article titled "ReAct Agent: From Principles to Implementation — Teaching LLMs to Think, Act and Observe". The piece walks through ReAct Agent from its underlying principles to actual implementation, explaining how the architecture loops through Thought-Action-Observation so that an LLM keeps making decisions based on the results it observes from outside. The author argues that ReAct pushes an LLM beyond being a one-shot text generator, turning it into an execution system that can perceive external results and keep acting, and that the loop also serves as a shared starting point for understanding later Agent architectures. As of now, this is the only publicly available report on the topic.