AI AGENTS
Post-Deploy Log-Noise Triage Agent
After every Vercel production deploy, an agent clusters the new log patterns that appeared in Axiom and posts a triage card to Slack recommending which to suppress as noise…
How it runs
The automated pipeline, trigger to output.
- TriggerVercel deploy succeeded webhookVercel
- ActionQuery Axiom for post-deploy and baseline logsAxiom
- LogicCluster messages into patterns, flag new vs baseline
- ActionLLM labels each cluster suppress/monitor/alertOpenAI
- OutputPost triage card to SlackSlack
What it does
When a Vercel production deploy finishes, this agent pulls the log lines Axiom recorded in the minutes that followed, groups them into recurring patterns, and judges each cluster: ignorable noise, worth watching, or alert-worthy. It posts a single Slack triage card so on-call can decide in seconds instead of scrolling raw logs.
When to use it
Use it when a service ships frequently and each deploy floods the logs with new-but-mostly-harmless lines, making real regressions easy to miss. It gives every deploy a clean signal-vs-noise summary without a human grepping.
How it works
- 1A Vercel deployment-succeeded webhook fires with the deployment ID and commit SHA.
- 2The agent queries Axiom for log events in the deploy window and the matching window from the previous release.
- 3It clusters messages by normalized template (stripping IDs, timestamps, and numbers) and flags clusters that are new or spiking versus the baseline.
- 4An LLM step labels each cluster: suppress, monitor, or alert, with a one-line rationale and a suggested Axiom filter.
- 5A Slack card lists the clusters grouped by recommendation, with the commit SHA and deploy link for context.
Set it up
What you configure once, before turning it on.
- 1Connect VercelDeploys, runtime logs, analytics.
- 2Connect AxiomLog streams, queries, dashboards.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Connect OpenAIModels, embeddings, files.
- 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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