Alerts are currently in beta. Contact support@adaline.ai for private preview access.
Useful alert signals
Good alert conditions are tied to an operational question:| Signal | Example question |
|---|---|
| Eval score | Did quality drop for a prompt, evaluator, release, or environment? |
| Error rate | Are traces failing above the expected baseline? |
| Latency | Did P95 latency exceed the target for a workflow? |
| Cost | Did request cost or total spend exceed budget? |
| Token usage | Did prompt or completion tokens jump unexpectedly? |
| Metadata segment | Is a specific environment, route, customer segment, or release affected? |
Before creating an alert
Check that:- The metric is visible and stable in Monitor.
- The relevant traces have meaningful names and metadata.
- The threshold represents user impact, not temporary noise.
- The alert has an owner and response path.
- The team knows where to inspect evidence after it fires.
Respond to an alert
When an alert fires:- Open Monitor for the alert window.
- Open the relevant traces and inspect representative spans.
- Check whether a Behavior captures the repeated pattern.
- Add important spans to datasets or update evaluators.
- Start Improve only when the fix belongs in prompt behavior.
Analyze log charts
Tune alert thresholds from production trends.
Filter, search, export logs
Find the evidence behind an alert.