Summarise logs
Logs from the failing runs are summarised deterministically before any model sees them.
Read the failing logs, cluster them to shared causes, propose a fix, and let an engineer file it.
Teams report that eighty failing runs usually collapse to three underlying problems, and that finding them by hand takes hours. The pipeline summarises logs deterministically, clusters failures, and lets an agent propose causes and fixes that an engineer accepts.
Logs from the failing runs are summarised deterministically before any model sees them.
Group failures by shared signature; separate developer issues from platform issues.
An agent proposes a cause and a fix per cluster, with the evidence it used.
Nothing is filed or re-run until a person accepts the proposal.
The failing runs, the log summaries, the clusters, the proposals, and what the engineer accepted.
Log reading and clustering happen before anyone opens a dashboard.
Failures are split into developer and platform issues and routed to the right team.
Proposals wait for an engineer; nothing is re-run or filed on its own.
Connectors and tool coverage depend on the installed operators and your deployment.
See how failure can trigger a reviewed improvement cycle →Apache 2.0 licensed, self-hosted. Talk about your CI and what a flaky day costs the team.