ReAct (Reasoning + Acting)

A framework, introduced by Yao et al. in 2022, in which an AI model alternates between reasoning about what to do and taking actions in the world, such as searching the web or running code. By interleaving thought and action, ReAct agents can handle exceptions, update their plans in response to new information, and tackle complex tasks more reliably than models that reason or act in isolation.