ReAct Reasoning

Also known as: ReAct

ReAct reasoning is a prompting strategy that interleaves natural-language thought traces with discrete action commands in the same generation. The model writes a thought about what it knows and what it needs, emits an action, receives an observation, and continues. This cycle makes the model's planning process legible and enables recovery from mistakes because each thought can incorporate the latest observation before the next action is chosen.