Docker's Cagent runtime introduces deterministic testing for AI agents using a record-and-replay pattern. Unlike evaluation frameworks that assess probabilistic outputs, Cagent captures real API interactions in recording mode and replays them deterministically in tests, making agent behavior reproducible. The tool uses a proxy-and-cassette model to store interactions in YAML files, blocking external calls during replay and failing tests when execution diverges. While still in early development, Cagent offers a traditional software engineering approach to testing agents, complementing existing evaluation tools by making behavioral changes explicit rather than assessing output correctness.
449 Impressions