How to Build a Multi-Step Agent Stress Test: Adversity Sandboxes and Oracle Checks

Short summary

Building production-ready AI agents requires stress-testing that goes beyond basic unit tests. The Agent Profiler framework implements an 'adversity sandbox' approach: injecting transient runtime errors, introducing lazy-agent traps to enforce focus, and validating AST output to ensure agents behave as claimed. This active testing loop identifies self-recovery weaknesses before they cause production failures.

• •Production agents need adversity sandbox testing, not just basic QA
• •Agent Profiler injects errors, lazy traps, and AST validation to stress-test self-recovery
• •Catch self-recovery failures in testing before they hit real users

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