Behavioral testing for AI agents

· Red Hat · July 30, 2026, 3:18 a.m.
Summary
This blog post discusses the importance of behavioral testing for AI agents, emphasizing that traditional unit tests may not catch behavioral failures in production environments. It outlines how behavioral testing involves observing agent behavior through HTTP queries without mocking the model, and highlights how this testing can prevent issues such as incorrect tool calls and the leakage of sensitive information. The post distinguishes between behavioral testing and agent evaluation, arguing for the necessity of both to ensure robustness and quality in AI agent functionalities.
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