Groovy Meets AI - Building LLM Applications with Spring AI

Learn to integrate large language models into Groovy applications through this comprehensive tutorial that progresses from basic HTTP client implementations to production-ready Spring AI applications. Start by building a custom OpenAI chat client using Groovy's native HTTP capabilities, including proper error handling and JSON parsing techniques. Discover how to leverage the Spring AI framework for enterprise-grade AI applications while maintaining vendor-agnostic development through chat client interfaces. Master the ability to switch between different LLM providers without code changes and configure GPT models with appropriate temperature settings. Explore practical implementation patterns for AI-powered controllers and understand the architectural benefits of interface-based LLM integration. Gain hands-on experience with both simple scripting approaches and sophisticated Spring-based solutions, making this tutorial valuable for Groovy enthusiasts and Java developers expanding into AI development. The tutorial includes complete code examples, configuration guidance, and best practices for building maintainable AI applications in the Groovy ecosystem.