What is Tessary's duration_drift classifier?

It detects a call site taking longer than its own history says it should, covering both the whole turn and each tool call inside it, rather than measuring against any fixed number of seconds.

That’s the kind of slowdown an error rate can’t see: a model that got slower, a tool that started dragging, a prompt edit that quietly pads every response. Nothing fails, so nothing else notices until someone says the agent feels sluggish.

A detection reads as a plain multiplicative shift, 1.4x slower say, which is what makes it comparable whether the call is a fast lookup or a long research run. From there it’s a finding, and triage rules on it before it reaches a person.

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More on this.

Two ways to run Tessary.

Tessary is an open-source agent reliability platform. Cloud and self-hosted run the same workflow on the OpenTelemetry traces your agent already emits.

Tessary Cloud

We host it for you. Send your first trace with nothing to deploy and no model key.

what's includedper organization
traces
10,000 per calendar month
stored trace data
1 GB
retention
30 days
model credit
$10, one-time, for triage and root-cause analysis
credit card
not required

Self-hosted Tessary

Run the open-source code on your own infrastructure with one command. Add your own model key for triage and root-cause analysis.

Self-host Tessary for me by following https://github.com/tessaryai/tessary/blob/main/setup.md

docker compose -f oci://docker.io/tessaryai/tessary:compose up -d -y