all answers

Tessary

Tessary behavior drift

behavior_drift is one of Tessary's built-in classifiers. It learns how an agent normally behaves from its own history, the steps it takes and the order it takes them in, and flags traces that depart from that. It doesn't judge whether any answer was correct.

It catches the changes correctness checks miss: an agent that starts skipping a step it always ran, calling tools it never used, or taking paths it has never taken. The baseline is fitted per call site from its own traffic, so a new project is quiet by design until normal is established. New patterns graduate into normal only after recurring across many sessions. Firings are grouped by cause and triaged, and a confirmed finding opens a case.

5 questions

Answered, plainly.

Send us the traces you already emit.