Individual skill
groq-observability
Set up observability for Groq integrations: latency histograms, token throughput, rate limit gauges, cost tracking, and Prometheus alerts. Use when instrumenting Groq API calls, building a metrics dashboard, or wiring latency/cost/rate-limit alerts. Trigger with phrases like "groq monitoring", "groq metrics", "groq observability", "monitor groq", "groq alerts", "groq dashboard".
skills/.curated/groq-observability/SKILL.md
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SKILL.mdcore · 6,311 bytesreferences/examples.mddoc · 2,514 bytesreferences/implementation.mddoc · 7,150 bytes
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# Groq Observability
## Overview
Monitor Groq LPU inference for latency, token throughput, rate limit utilization, and cost. Groq's defining advantage is speed (280-560 tok/s), so latency degradation is the highest-priority signal. The API returns rich timing metadata (`queue_time`, `prompt_time`, `completion_time`) and rate limit headers on every response.
## Prerequisites
- A Groq account with an API key exported as the `GROQ_API_KEY` environment variable — the `groq-sdk` client reads it automatically (`new Groq()`).
- Node.js with `groq-sdk` and `prom-client` installed (`npm install groq-sdk prom-client`).
- A Prometheus scrape target and (optionally) Grafana for the dashboard panels.
## Key Metrics to Track
| Metric | Type | Source | Why |