Building Reproducible AI Evaluation Workflows with Docker Sandboxes | Docker

This post introduces the SBX AI Evaluation Kit, an open-source Docker Sandboxes Mixin Kit designed to make AI evaluation workflows reproducible. It details how Docker Sandboxes and an SBX Kit can be used to ensure consistent command execution, capture structured JSON records of runtime evidence (including stdout, stderr, exit code, and duration), and manage evaluation suites. The core contribution is the executor abstraction, which separates evaluation definition from execution environment, allowing seamless switching between local and SBX executors while maintaining a consistent evidence structure. This enables engineers to reliably rerun, inspect, and compare AI evaluation workflows.