Safety Testing Sandbox

Test AI agents safely in isolated environments before production deployment

Testing Failure Scenarios

Agents fail in production. The question is: do they fail safely? Test common failure modes like API timeouts, permission denials, rate limiting, data corruption, and cascade failures. Does your agent retry gracefully, respect boundaries, log properly, and fail without causing damage? Failure scenario testing reveals whether your agent handles errors safely or makes them worse.

🔄 Graceful Degradation

System continues with reduced functionality

đŸ›Ąī¸ Circuit Breakers

Stop cascading failures before they spread

â†Šī¸ Safe Rollback

Undo operations when failures detected

Interactive: Failure Scenario Runner

Select a failure scenario and simulate it to test your agent's error handling:

API Timeout
HIGH

External API call exceeds timeout threshold

✓EXPECTED BEHAVIOR:

Graceful degradation with retry logic and fallback responses

✗UNSAFE BEHAVIOR:

Agent hangs indefinitely or crashes without error handling

💡
Chaos Engineering for AI

Randomly inject failures into your sandbox to see how agents respond to unexpected conditions. Use tools like chaos monkey patterns to test resilience under stress. Monitor how failures propagate and whether circuit breakers activate properly. The best time to find failure modes is in testing, not production.

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