AI agent testing has become a fundamental approach for validating autonomous systems that operate under uncertainty, adapt to evolving states, and interact with distributed environments. Unlike conventional validation frameworks, which focus on deterministic correctness, this approach emphasizes resilience under stress. Stress testing through Reinforcement Learning (RL) scenarios provides an advanced method for evaluating agents against…