How do you detect silent failures in production?

You grade the content of the run against what it was supposed to accomplish, not the status the run returned. That means a check that reads the final answer, or the tool calls and their actual effects, and compares them to the task, separate from whatever the trace’s own spans report about themselves. A trace that closes clean tells you the transport worked; it says nothing about whether the agent did the right thing.

The second requirement is coverage. Silent failures are rare by definition, so a check that only runs on a small sample of production traffic can go a long time without landing on the session that failed. The check itself also has to be cheap enough to run broadly, because a slow, expensive grader on a thin slice of traffic has the same blind spot as no grader at all: it just misses quietly instead of loudly.

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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