How do I set up continuous monitoring for API latency spikes in our customer-facing AI assistant so we get alerted before users complain?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I set up continuous monitoring for API latency spikes in our customer-facing AI assistant so we get alerted before users complain?
1 real search · 1 real-search pass
OpenTelemetry GenAI semantic conventions metrics token time to first token latency official documentation Prometheus histogram alerting GrafanaGoogle ↗
OBSERVEDOther / navigational
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
OpenTelemetry GenAI semantic conventions metrics token time to first token latency official documentation Prometheus histogram alerting Grafana Google ↗
- opentelemetry-semantic-conventions/docs/gen-ai/gen-ai-metrics.md at main · microsoft/opentelemetry-semantic-conventions · github.com
- semantic-conventions-genai/docs/gen-ai/gen-ai-metrics.md at main · open-telemetry/semantic-conventions-genai · github.com
- semantic-conventions-genai/docs/gen-ai/client-inference.md at main · open-telemetry/semantic-conventions-genai · github.com
- OpenTelemetry documentation · opentelemetry.io
- Prometheus alerting · prometheus.io
- Grafana alerting · grafana.com
- OpenTelemetry GenAI conventions · github.com