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

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.