The open-source behavior regression gate for AI agents.
Think Playwright, but for tool-calling and multi-turn AI agents.
Your agent can still return 200 and be wrong. A model or provider update can change tool choice, skip a clarification, or degrade output quality without changing your code or breaking a health check. EvalView catches those silent regressions before users do — and gives you the loop to investigate them, grade the confidence, and broadcast the verdict to your team.
You don't need frontier-lab resources to run a serious agent regression loop. EvalView gives solo devs, startups, and small AI teams the same core discipline: snapshot behavior, detect drift, classify changes, and review or heal them safely.
Traditional tests tell you if your agent is up. EvalView tells you if it still behaves correctly. It tracks drift across outputs, tools, model IDs, and runtime fingerprints with graded confidence — not a binary alarm — so you can tell "the provider changed" from "my system regressed."
