What You Actually Need to Monitor AI Systems in Production

August 1, 2025

a colorful, cartoon-style illustration of a futuristic workspace or control room

You did it. You added the latest AI agent into your product. Shipped it. Went to sleep. Woke up to find it returning a blank string, taking five seconds longer than yesterday, or confidently outputting lies in perfect JSON.Naturally, you check your logs. You see a prompt. You see a response. And you see nothing helpful.Surprise. Prompt in and response out is not observability. It is vibes.

There is a lot of buzz around “LLM observability.” Most of it involves charts you do not need and dashboards you will forget to check. If you are actually building and shipping LLM-powered products—chatbots, internal agents, retrieval apps—you need observability. But not the kind that stops where things get interesting.

Source: What You Actually Need to Monitor AI Systems in Production | Product Blog • Sentry

Observability is the thing these days, and that incudes LLM and agent based systems. But what exactly should we be observing?