Regression testing for LLM agents
Testpath re-runs your agent's eval against your real scenarios and applies real statistics — a stable red/green in CI that tells a genuine regression from model noise, and won't fail your build on a flaky run.
For teams running a customer-facing LLM agent in production.
You tweak a prompt, ship it, and don't notice the refund flow quietly broke. “It worked when I tested it” isn't a test — especially when the same input can give a different answer every run.
Same change, run twice. Testpath catches a real regression a single-run eval calls “passing” — then shrugs off noise it would have false-flagged.
Regression caught
a 0.91 → 0.78 drop a single run would miss
Noise ignored
inside run-to-run variance — not a fail
≈ $5 a run
sequential stopping, not brute force
Every check runs many times and gets a real statistical verdict — so a flaky model doesn't read as a failure, and a real regression doesn't hide in the noise.
Know the moment a prompt, model, or tool change degrades your agent — caught in your CI before it ships, not from an angry customer after.
A running red/green history of your agent, so you can see the trend — not just whether it works today.
Plenty of tools run your eval. The gap is what happens next — most hand you a number and leave you guessing whether it really moved.
The usual way
Testpath
We're onboarding a handful of design partners. If you run a support agent and silent regressions scare you, let's talk.
Request early access