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Customer-facing AI agents rely on dozens of upstream APIs such as third-party tools, internal microservices, and LLM providers.These dependencies can 'contaminate' your tests with slow responses, unexpected failures, and rate limits - making it difficult to isolate agent-related problems and improve performance.

In this session, we'll use WireMock Cloud to create a testing cleanroom for your AI agents - a simulated, deterministic environment that lets you test agents in real-world conditions, while controlling the elements they interact with.

Join us to see:

• An end to end agent testing workflow - setting up the environment, running the agent, and recording results for evals.
• Optimizing agents by learning from their interactions with mock APIs.
• Best practices for using API simulation in AI development workflows and designing the simulated environment