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Prometheus / VictoriaMetrics

Prometheus / VictoriaMetrics

What it gives you — the query_metrics and query_metrics_range tools: PromQL against any backend that speaks the Prometheus HTTP API, including VictoriaMetrics.

Minimal config 

metrics:
  url: http://vmsingle.observability.svc:8429

Pinning the flavor instead of auto-detecting it:

metrics:
  url: http://prometheus.observability.svc:9090
  flavor: prometheus       # or "victoriametrics" — optional, auto-detected when omitted

Verify it locally 

curl -s "http://vmsingle.observability.svc:8429/api/v1/query?query=up" | jq .status

Then fire a test incident and confirm query_metrics appears among the tools the model called:

kubectl -n runlore logs deploy/runlore | grep 'tool=query_metrics'

Notes

  • Presence enables it — metrics.url set is all it takes; an unset URL leaves the tool unregistered, no error.
  • Both Prometheus and VictoriaMetrics speak the same Prometheus HTTP API; VictoriaMetrics also accepts MetricsQL, a PromQL superset. metrics.flavor unlocks MetricsQL-only query guidance for the model — it is auto-detected at startup (DetectFlavor probes /api/v1/status/buildinfo) and fails safe to generic Prometheus behaviour on an ambiguous or failed probe, so the model is never told to use a dialect the backend might reject. Pin flavor: explicitly when the backend sits behind a proxy that confuses the probe.
  • token_env (bearer auth) and headers (e.g. X-Scope-OrgID for a multi-tenant backend) are available like every other data-source endpoint. headers values are not secret-safe over plain HTTP — use https:// for a public host, or keep secrets in token_env only.

Reference

OpenAI-compatibleSlack