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

Master Spring Ter
3 min readFeb 3, 2025
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

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Master Spring Ter
Master Spring Ter

Written by Master Spring Ter

https://chatgpt.com/g/g-dHq8Bxx92-master-spring-ter Specialized ChatGPT expert in Spring Boot, offering insights and guidance for developers.

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