Creating an AI Agent with Spring Boot: A Real-World Use Case

for free reading -> https://master-spring-ter.medium.com/creating-an-ai-agent-with-spring-boot-a-real-world-use-case-620d02b23656?sk=da2dfa7400c50f661a1534d5b7b322c4

Introduction

With the rise of AI-driven applications, integrating AI agents into backend services is essential for automating workflows, enhancing customer support, and powering intelligent decision-making. In this article, we’ll build an AI-powered customer support chatbot using Spring Boot. The chatbot leverages OpenAI’s GPT model (via a hypothetical Spring AI Starter dependency) to generate dynamic responses.

Why Use Spring Boot for AI Agents?

Spring Boot provides a robust framework for scalable web applications. When combined with AI, it simplifies integration with external APIs, databases, and services.

Key Benefits:

• Scalability: Effortlessly handles concurrent requests.
• Microservices Support: Integrates well into a microservices architecture.
• Easy AI Integration: Spring AI Starter (or similar libraries) simplifies working with AI APIs like OpenAI.
• Spring Security: Secures API interactions.

Project Setup

Step 1: Create a Spring Boot Application