BoxLang AI with ColdBox: Building Intelligent JVM Applications

Artificial Intelligence is no longer an experiment—it is a core capability of modern applications. In this session, you will learn how BoxLang AI integrates seamlessly with ColdBox to bring practical, production-ready AI workflows into your JVM applications.

We will explore how BoxLang AI provides a unified, provider-agnostic abstraction over leading AI platforms, allowing you to incorporate LLMs, embeddings, vector stores, and AI pipelines without locking your application to a single vendor. You’ll see how ColdBox’s conventions, dependency injection, and event-driven architecture make it easy to design clean, testable, and scalable AI-powered features.

Through real-world examples, we’ll demonstrate:

• Calling LLMs and AI services using BoxLang AI
• Managing prompts, responses, and structured outputs
• Integrating AI workflows into ColdBox handlers, services, and interceptors
• Building maintainable, secure, and extensible AI-enabled applications

Whether you’re modernizing an existing ColdBox application or building something entirely new, this session will give you a clear, pragmatic path to adding AI capabilities with confidence—using tools designed specifically for the JVM and the BoxLang ecosystem.