Automated Fireworks AI Latency Alerts
Every hour, WebRun opens Fireworks AI, checks each deployed model's latency and error rate against your threshold, files a Trello card for anything that crosses it, and alerts the on-call engineer in Microsoft Teams so a slow or failing model gets attention fast.
How do I get alerted when a Fireworks AI model's latency spikes?
WebRun checks your deployed Fireworks AI models every hour for latency or error rates above the threshold you set. It files a Trello card with the model and metric, then alerts your on-call engineer in Microsoft Teams, so a slow or failing model gets picked up within the hour instead of during an outage.
- Latency and error spikes get caught within the hour
- Every breach is tracked on one Trello board with its metrics
- The on-call engineer is alerted before it becomes an outage
Built for AI engineering teams · ML infrastructure teams · DevOps · platform teams
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
-
WebRun signs in and gets to work
Opens
fireworks.aiin a real browser with your saved login - no setup, no API keys. -
1
Fireworks AI - check model latency and errors
fireworks.ai
WebRun opens Fireworks AI to check model latency and errors. - Open Fireworks AI and check each deployed model's dashboard
- Note latency and error rate against your set threshold
- Capture the model name and metric for anything over the line
Done when Every model's latency and error rate this hour has been checked.
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2
Trello - file a card for the breach
trello.com
WebRun opens Trello to file a card for the breach. - Open the model performance board in Trello
- File a card for each model over threshold with its metrics
- Move repeat breaches from the same model to the top
Done when Every threshold breach has a Trello card.
-
3
Microsoft Teams - alert the on-call engineer
microsoft.com
WebRun opens Microsoft Teams to alert the on-call engineer. - Alert the on-call engineer with the model and metric that breached
- Link to the Trello card for detail
- Keep the alert internal to your engineering channel
Done when The on-call engineer has been alerted for every breach.
How is each run configured?
Secure by default
Connect once, stays signed in
WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.
Every action is checked against this policy before it runs.
Questions, answered
Does it roll back or change the deployed model?
No. It only detects the breach, files the card, and alerts your engineer. Rolling back or changing a deployment is always a human decision.
Who gets alerted in Microsoft Teams?
Only the on-call engineer in your internal engineering channel. It is never sent to a customer or outside your organization.
What counts as a breach?
Any deployed model whose latency or error rate crosses the threshold you set. Models running within normal range are left off the list.
Related templates
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