Deep explanation
Production incident: AutoGen outage in a compliance review automation system
Staff incident question: contain an AutoGen multi-agent cost and failure spike by capping runs, reading termination reasons and traces, finding loops, context growth, and retry storms, then hardening with budgets and durable state.
Quick answer
First I contain it: lower worker concurrency, add a hard message and token cap to every team run, and pause non-urgent document types so spend stops climbing, while making sure failed runs are marked pending, not passed. Then I use traces and termination reasons to see whether runs are looping between agents, growing their context until they hit limits, or retrying model and tool errors over and over. The fix is usually strict termination conditions, bounded context, per-run budgets, idempotent resumable runs, and alerts on messages and tokens per run.
The interview question
Your compliance review system runs an AutoGen team (an extractor agent, a policy-checker agent, and a reviewer agent) for every submitted document. At peak traffic, runs start failing, model spend is double the normal daily rate, and the review queue backs up. Describe your first 30 minutes, how you'd find the root cause in an AutoGen system specifically, and what you'd change so it can't happen again.
Deep explanation
Simple explanation
Sign in to unlock the full answer
Free accounts include 5 full deep answers. Sign in to start unlocking.
- 14 more sections of deep explanation
- Real-world examples
- Common mistakes
- Interviewer expectations
- Follow-up questions