Observing AI Agents in Production: LangChain4j and Quarkus Implementation

As AI agents become more sophisticated and multi-agent systems grow in complexity, traditional monitoring approaches fall short. This article demonstrates how to implement observability for AI agents using LangChain4j and Quarkus, enabling visibility into critical metrics like token consumption, latency, and execution costs—essential for deploying AI systems reliably in enterprise environments.