How to Prevent Runaway Loops (Part 2)

Part 1: What loops are and first defenses ←

Step 3: Mandatory exit conditions

Every workflow needs hard rules for when it must stop, even if the task isn't done.

Most teams only define one: stop when the task completes. You need more:

• Max step count – e.g., 10 steps per ticket, then escalate
• Max runtime – e.g., 5 minutes per run, then stop
• Max API calls – e.g., 20 calls per user request, then stop
• Failure exit – if the workflow can't resolve a failure in 2 attempts, stop and escalate. No infinite retries, no full restarts.

These give every workflow a definite end. Even if a loop starts, it hits an exit condition quickly.

Step 4: Real-time anomaly detection and alerts

Limits and breakers help, but you still need to know when something goes wrong.

Daily or weekly reports aren't enough. A loop can burn $10k in a few hours. You need alerts as soon as something looks off.

Set up:

• Real-time anomaly detection – monitor call volume, tokens, errors, and spend. Flag deviations (e.g., 10 calls/min → 100 calls/min).
• Alerts for high-risk events – circuit breaker trip, 50% of daily budget, 5x call volume, 20% error rate, workflow hitting max steps or calls. Use Slack, email, or SMS.
• Auto-pause for critical anomalies – for the worst cases (e.g., 10x call spike), pause the workflow until someone reviews. Stops the loop even if no one sees the alert right away.

Building this from scratch is heavy. ClawFirewall includes real-time monitoring, anomaly detection, and configurable alerts.

Putting it together

Runaway loops are preventable. With retry limits, circuit breakers, exit conditions, and real-time monitoring, you can eliminate most of the risk.

The mistake is waiting. Once a loop has run, the money's gone. Implement these before you need them.

ClawFirewall bundles retry limits, circuit breakers, exit enforcement, anomaly detection, and auto-pause. It plugs into OpenRouter, OpenClaw, OpenAI, Anthropic, and others. Get started at ClawFirewall.ai.