How to Run AI Evaluations on Freestyle

AI evaluations require isolated and reproducible environments to ensure accurate and comparable results, making the use of ephemeral microVMs crucial for conducting these tests effectively. Freestyle VMs offer a robust solution for AI agent evaluations due to their rapid provisioning, snapshot caching, and ability to maintain a consistent state across multiple test cases. This infrastructure allows for large-scale parallel evaluations without the risk of state leakage between runs, ensuring that each task starts from a known baseline. The use of snapshot caching and live forking optimizes the evaluation process, enabling each task to begin in a warm state, which reduces setup time significantly. By capturing the full trajectory of each evaluation, including tool calls and file writes, Freestyle VMs facilitate detailed analysis and debugging, allowing for easy comparison of different model versions. The integration with CI systems ensures that evaluations can be conducted on every pull request, maintaining consistency across testing environments and reducing costs by avoiding idle cluster charges.

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