How to Strengthen a ReACT AI Agent with Kong AI Gateway

The text delves into the first part of a series examining the integration of Kong AI Gateway and LangGraph for developing AI agents. It explains the concept of AI agents, highlighting their reliance on large language models (LLMs) for autonomous operation and decision-making. The series aims to demonstrate building AI agents using Kong AI Gateway and LangGraph, with a focus on leveraging multiple LLMs to improve response accuracy. Key topics include the implementation architecture of AI agents, the use of Kong AI Gateway to manage and protect LLM models, and the application of reasoning frameworks like ReAct for AI development. It also discusses the capabilities of Kong AI Gateway for supporting AI-related tasks such as request handling and prompt engineering, while emphasizing the need to keep AI agents separate from the policies governing model consumption. The text introduces the concept of the Model Context Protocol (MCP) and outlines the blog series structure, which will progressively cover basic to advanced AI agent development using these tools.

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