ENGINEERING
On-demand release-health triage agent in chat
A chat-triggered agent that investigates a named release on request — pulling Sentry crash-free health, Honeycomb traces, and the GitHub commit range — then recommends hold.
How it runs
The automated pipeline, trigger to output.
- TriggerChat message naming a release versionSlack
- ActionPull Sentry crash-free health and error groupsSentry
- ActionQuery Honeycomb error rate and latencyHoneycomb
- ActionFetch GitHub commit range since last healthy releaseGitHub
- LogicWeigh signals into hold/rollback/proceed verdict
- OutputReply in thread with verdict, evidence, and commit linkSlack
What it does
Lets an engineer ask, in chat, whether a specific release is safe to promote. The agent gathers Sentry health, Honeycomb telemetry, and the relevant GitHub commits, then reasons across them to recommend a clear action.
When to use it
Use it when a gate fires ambiguously or someone wants a fast human-in-the-loop read before promoting manually. Best for on-call engineers who need a synthesized answer instead of opening four tabs at 2am.
How it works
- 1A chat message names a release version and asks for a verdict.
- 2The agent pulls that version's crash-free sessions rate, top error groups, and adoption from Sentry.
- 3It queries Honeycomb for server error rate and latency on the same version and window.
- 4It fetches the GitHub commit range since the last healthy release to scope suspect changes.
- 5The agent weighs the signals, accounting for sample size and severity, and forms a hold, roll back, or proceed recommendation.
- 6It replies in the chat thread with the verdict, the evidence behind it, and a link to the implicated commits.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect HoneycombDistributed traces and queries.
- 3Connect GitHubRepos, issues, pull requests, actions.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
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