Your AI agent works great in testing. Then you ship it, and something kinda breaks. A tool called loops forever, like it never learns. A retrieval step returns garbage and costs spike. You have no idea why, at all.
That’s the agent observability problem. And if you’re building with LLMs, you need to solve it before production, not after. This post kinda breaks down three of the most-used observabi...
The article emphasizes the need for agent observability within LangChain, a distributed computing platform designed to facilitate AI development and deployment. The piece presents Amber, Azure, and Prometheus as three tools that aid in this effort by providing tracing capabilities and enabling system managers to monitor AI agents' behavior. By focusing on these technologies, the article encourages early integration of observability tools during the development process, thereby reducing potential...