ReAct Agent Explained
Author(s): Sayanteka Chakraborty
Originally published on Towards AI.
Introduction to ReAct Agent
ReAct stands for Reasoning and Acting, a framework where LLM generate thoughts (reasoning) and actions (tool use) in an interleaved manner.
The article discusses the ReAct Agent, which operates on the ReAct prompting framework that allows large language models (LLMs) to alternate between making logical deductions and executing tool actions. It explains the step-by-step process to build a custom ReAct agent, including the definition of tools, the integration of LLMs, and running the agent with the prompting framework. Alongside detailed code examples, the article highlights how the agent identifies cities in a predefined list, showcasing practical applications of the framework.
Read the full blog for free on Medium.
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