Learn to implement metrics, logs, and centralized monitoring to maintain your AI brokers strong and production-ready
Constructing AI brokers is an thrilling problem, however merely deploying them isn’t all the time sufficient to make sure a clean, strong expertise for customers. As soon as deployed, AI purposes want efficient monitoring and logging to maintain them working optimally. With out correct observability instruments, points can go undetected, and even minor bugs can snowball into main manufacturing issues.
On this information, we’ll stroll you thru how you can arrange monitoring and logging in your AI agent, so you may keep full visibility over its habits and efficiency. We’ll discover how you can acquire important metrics, collect logs, and centralize this information in a single platform. By the tip of this tutorial, you’ll have a foundational setup that permits you to detect, diagnose, and deal with points early, making certain a extra steady and responsive AI software.
Full code is out there right here: https://github.com/CVxTz/opentelemetry-langgraph-langchain-example