How to Debug Multi-Agent AI Systems: Session Replay for LLM Workflows

You just watched your AI agent make a terrible decision. It sent the wrong email. It queried the database with the wrong filter. It hallucinated a fact and ran with it. Now you have to figure out why . Traditional debugging is hard enough. But with LLMs, it gets exponentially worse because every interaction is non-deterministic. Re-running the same prompt with the same input gives you a different output. The bug is gone. You're back to square one. The Problem: AI Debugging is Broken Here's what happens in most teams right now: Agent makes a mistake → You get an error message or wrong output You try to reproduce it → The agent behaves fine this time (different LLM response) You add logging → You sprinkle console.log() or similar everywhere You trace execution → Manually follow the decision tree to find where it diverged You're still lost → What was the exact prompt? What was the LLM thinking? This is where session replay comes in. Session Replay: Record Everything, Debug Anything The co