What is AI observability, how it works, and which tools to use

The problems with AI agents and apps often don’t show up in normal monitoring tools: code works and API calls succeed, but outputs are off. AI observability emerged to address gaps in traditional monitoring, focusing on what models actually produce rather than just whether systems function. This specialized monitoring category handles aspects like prompt quality, token usage, and output reliability that conventional tools cannot capture.