See how your agent behaves on a new model.
When you swap your agent's model, its tone, context retention, and tool calls all shift at once. Voxli runs the same conversations on both versions and shows exactly what changed.
You point the same agent at a new model.
A stronger model ships, yours gets deprecated, or you want the same quality at a lower cost. The new one holds context differently, calls other tools, and acts where the old one asked first. Nothing throws an exception, so nothing shows up in your logs.
The same conversation, on both models.
Voxli plays the customer against your current model and the new one, side by side. You see the change before a customer does.
Run your suite on the new model and read the diff.
-
Diff every test across versions
Run the tests against both models and see where the new one wins and where it regresses, per scenario and per test.
-
Repeat runs to spot flaky failures
Run each test up to ten times per version. Aggregated scores separate a real regression from a flow that fails on either model.
-
Judge more than the pass rate
Voxli scores both models on hallucination count, response time, token usage, and cost as well as pass rate. The same diff that clears an upgrade shows whether a cheaper model keeps the quality you have today.
“Every LLM has its own personality. Upgrade the model or switch vendors and the same agent can start behaving like a different one.”
Test the swap before you make it.
We are early stage and founder led. Book a call and talk directly with the people building Voxli.