Developer stress-tests AI cost-monitoring agent using chaos testing and red teaming

A software developer subjected their AWS cost-monitoring AI agent, built on Amazon Bedrock's AgentCore Runtime using the Strands framework, to deliberate failure and adversarial testing. The agent, which daily reads AWS billing data and emails a color-coded spending report, had never been tested under adverse conditions such as API timeouts, partial data returns, or prompt manipulation. Using Strands Evals 1.0, which shipped chaos testing and red-teaming tools in June, the developer built an isolated lab replica of the agent running on fixture data to avoid incurring real API costs during testing. The key concern was not outright crashes but silent, believable failures — such as a falsely reassuring green-status report while cloud costs quietly escalate. The developer's stated goal is to share replicable testing methods so others can apply the same adversarial evaluation approach to their own AI agents.
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