AI AGENTS
Honeycomb-Backed Incident to Load-Test Reproduction Agent
When PagerDuty pages on a latency incident, the agent pulls the correlated Honeycomb trace, forms a contention hypothesis.
How it runs
The automated pipeline, trigger to output.
- TriggerPagerDuty incident webhook firesPagerDuty
- ActionQuery Honeycomb traces in incident windowHoneycomb
- LogicBranch on saturation signal type
- ActionAgent writes staging reproduction load-test plan
- ActionAttach hypothesis and plan to PagerDuty incidentPagerDuty
- OutputPost repro plan to incident Slack channelSlack
What it does
Gives on-call engineers a head start during a live incident. The moment PagerDuty pages, the agent grabs the matching Honeycomb trace, reasons about what saturated, and produces a staging load-test plan that recreates the conditions so the team can validate a fix without waiting for the next production spike.
When to use it
Use it for latency or saturation incidents where reproduction is the bottleneck to resolution. Best when staging mirrors production closely enough to trust a load test as a fix-validation gate.
How it works
- 1A PagerDuty incident webhook fires with the service and timestamp.
- 2The agent queries Honeycomb for traces in the incident window on the affected service.
- 3It branches on the saturation signal — connection pool, CPU, or downstream timeout — and forms a matching hypothesis.
- 4The agent writes a staging load-test plan tuned to recreate that exact saturation pattern.
- 5It attaches the hypothesis and plan as a note on the PagerDuty incident.
- 6It posts the plan to the incident Slack channel so responders can run the repro and confirm a candidate fix.
Set it up
What you configure once, before turning it on.
- 1Connect PagerDutyIncidents, on-call, escalations.
- 2Connect HoneycombDistributed traces and queries.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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