This tutorial guides you on building a ReAct (Reasoning + Acting) agent from scratch using Python and OpenAI’s API.
The ReAct agent follows a specific loop of operations: Thought → Action → Observation. It breaks down complex problems, gathers necessary information step by step, and arrives at well-reasoned solutions.
The tutorial covers the necessary libraries, setting up the environment, configuring the OpenAI API key, creating the agent class, implementing the tools, and creating a function for the ReAct loop.
The tutorial demonstrates how the ReAct agent processes simple and complex questions, handles missing information gracefully, and formulates comprehensive responses.