Quick Start With React AI Agent

A ReAct Agent is an intelligent agent architecture that combines Reasoning and Action capabilities, designed to solve tasks requiring continuous reasoning and multi-step operations. The term “ReAct” comes from Reasoning and Acting, referring to the combination of reasoning and action.

Basic Concept

The key feature of a ReAct Agent is its ability to perform reasoning while executing actions, and to adjust its action strategy based on feedback and observations from each step. Unlike traditional static strategies, a ReAct Agent dynamically adapts its actions by considering both the current task and new information, making it well-suited for uncertain and complex environments.

How It Works

The ReAct Agent completes tasks by alternating between reasoning, action, and observation in a cycle. Its operation is similar to the Thought-Action-Observation loop, but during the reasoning process, the ReAct Agent continuously updates its understanding and strategy. This process can be broken down into the following steps:

Reasoning

• At each step, the ReAct Agent first reasons based on the current task state and context. This reasoning process is the core of problem-solving, where the agent analyzes the complexity of the task and proposes potential solutions or action strategies.
• For example, the AI needs to understand the input request and decide the next best action.