Why I Test My Agents with Chaos Engineering

Breaking Things on Purpose

I inject random failures into my agent pipelines: - API timeouts (30% of calls) - Malformed responses - Rate limits - Empty results

What I Discovered

My "reliable" agent crashed on 4 out of 5 failure modes. Turns out, I'd only tested the happy path.

The Chaos Test Suite

@chaos_test(failure_rate=0.3)
def test_agent_with_flaky_api():
    result = agent.run(task)
    assert result.status in ["completed", "degraded"]
    assert result.status != "crashed"

An agent that survives chaos testing is an agent you can trust with real users.