Can Tessary's groundedness classifier check a very long answer?

Up to a point. Tessary’s groundedness classifier reads an answer and its retrieved documents together in a single pass capped at 8,192 tokens. When the two don’t both fit, the answer itself is cut at a fixed length first. If a long answer, even cut, still leaves no room for a single document, that answer isn’t scored at all.

This matters most on a summarize call site, where a long answer competes with its own source document for the same budget, more directly than a typical rag_answer call citing a handful of short chunks. Fitting more into one context window always means giving something else less room, whichever system is doing the fitting.

An unscored answer isn’t the same as a passing one. It’s simply absent from the call site’s learned rate, so a call site that mostly produces long answers can look quieter than it really is.

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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