Groq's speed, measured call by call.
You run on Groq for speed; Obsivara proves you're getting it. Every request to Groq's OpenAI-compatible API traced with tokens-per-second, time-to-first-token, and full latency — plus the cost per call and model — so a latency regression shows up the moment it starts, not in a user complaint. Instrument via the Obsivara SDK or OpenTelemetry, or POST one usage event per call, out of the request path.
Groq, fully observable.
Latency you can prove
Time-to-first-token, tokens-per-second, and P50/P95/P99 latency per model, so the speed you chose Groq for is measured on your real traffic, not a benchmark page.
Per-call cost and token accounting
Input and output tokens and the dollar cost of every request, priced per Groq-hosted model and attributed to the workflow that made it.
Latency regression detection
Drift in time-to-first-token or throughput flagged against baseline, so a slowdown surfaces the moment it starts.
Cross-provider comparison
Groq's latency and cost side by side with your other providers on the same workload — so routing the latency-critical path to Groq is an evidence-based call.
Three steps. No code changes.
Add your Groq usage source
Instrument your app with the Obsivara SDK or an OpenTelemetry GenAI exporter, or POST one usage event per request to the ingest webhook. Your app keeps calling Groq directly — Obsivara records each call out-of-band, so nothing routes through us and no latency is added.
Obsivara maps your usage
Within minutes you get a live inventory of every Groq-hosted model in use, the workflows calling it, and its latency and cost baseline.
Set latency SLOs and alerts
Define time-to-first-token and throughput SLOs, spend thresholds, and error alerts per workflow. Obsivara watches from there.
Signals tracked out of the box.
- →Time-to-first-token and tokens/sec
- →Latency P50 / P95 / P99 by model
- →Tokens per request (input / output)
- →Cost per call, workflow, and day
- →Rate-limit and error rates
- →Latency drift against baseline
Common questions.
Does Obsivara capture Groq's inference speed?
Yes. Time-to-first-token and tokens-per-second are tracked per model and workflow, so the throughput Groq is known for is measured on your own traffic.
Groq uses an OpenAI-compatible API — does that just work?
Yes. Instrument with the Obsivara SDK, OpenTelemetry, or usage events; the OpenAI-compatible shape is captured without special handling.
Will this add latency?
No. Obsivara never sits in the request path — your app calls Groq directly and reports usage afterward, so the speed you came for is untouched.