Microsoft ASSERT Agent Evaluation Framework: Turn Agent Policies Into Executable Evals
Microsoft ASSERT is an open-source agent evaluation framework that turns written AI policies, product requirements, and safety rules into executable tests. For developers, the value is practical: instead of debating whether an agent “mostly follows policy,” ASSERT gives you repeatable scenarios, metrics, traces, and scorecards you can run before release. What Is the Microsoft ASSERT Agent Evaluation Framework? Microsoft ASSERT is a requirement-driven evaluation harness for AI agents and LLM applications that converts natural-language specifications into executable evaluations. ASSERT stands for Adaptive Spec-driven Scoring for Evaluation and Regression Testing, and Microsoft describes it as open source and framework-agnostic for the estimated 6 million to 13 million generative AI developers working across today’s agent ecosystem. The framework starts with written intent, such as a product requirement, policy document, system prompt, or launch checklist, then helps generate scenarios, datasets, metrics, and scorecards that can be run against hosted models, Python callables, or traced agent systems. The key idea is simple: agent behavior should be tested against your own requirements, not only against generic benchmarks. ASSERT is best understood as policy-as-evaluation for teams that need repeatable evidence before deploying autonomous workflows. ...