LangChain4j AI Services Patterns

This skill provides guidance for building declarative AI Services with LangChain4j using interface-based patterns, annotations for system and user messages, memory management, tools integration, and advanced AI application patterns that abstract away low-level LLM interactions.

When to Use

Use this skill when:

• Building declarative AI-powered interfaces with minimal boilerplate code
• Creating type-safe AI services with Java interfaces and annotations
• Implementing conversational AI systems with memory management
• Designing AI services that can call external tools and functions
• Building multi-agent systems with specialized AI components
• Creating AI services with different personas and behaviors
• Implementing RAG (Retrieval-Augmented Generation) patterns declaratively
• Building production AI applications with proper error handling and validation
• Creating AI services that return structured data types (enums, POJOs, lists)
• Implementing streaming AI responses with reactive patterns

Overview