Groq Observability

Overview

Set up comprehensive observability for Groq integrations.

Prerequisites

Prometheus or compatible metrics backend
OpenTelemetry SDK installed
Grafana or similar dashboarding tool
AlertManager configured

Metrics Collection

Key Metrics

Metric	Type	Description
`groq_requests_total`	Counter	Total API requests
`groq_request_duration_seconds`	Histogram	Request latency
`groq_errors_total`	Counter	Error count by type
`groq_rate_limit_remaining`	Gauge	Rate limit headroom

Prometheus Metrics

import { Registry, Counter, Histogram, Gauge } from 'prom-client';

const registry = new Registry();

const requestCounter = new Counter({
  name: 'groq_requests_total',
  help: 'Total Groq API requests',
  labelNames: ['method', 'status'],
  registers: [registry],
});

const requestDuration = new Histogram({
  name: 'groq_request_duration_seconds',
  help: 'Groq request duration',
  labelNames: ['method'],
  buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
  registers: [registry],
});

const errorCounter = new Counter({
  name: 'groq_errors_total',
  help: 'Groq errors by type',
  labelNames: ['error_type'],
  registers: [registry],
});

Instrumented Client

async function instrumentedRequest<T>(
  method: string,
  operation: () => Promise<T>
): Promise<T> {
  const timer = requestDuration.startTimer({ method });

  try {
    const result = await operation();
    requestCounter.inc({ method, status: 'success' });
    return result;
  } catch (error: any) {
    requestCounter.inc({ method, status: 'error' });
    errorCounter.inc({ error_type: error.code || 'unknown' });
    throw error;
  } finally {
    timer();
  }
}

Distributed Tracing

OpenTelemetry Setup

import { trace, SpanStatusCode } from '@opentelemetry/api';

const tracer = trace.getTracer('groq-client');

async function tracedGroqCall<T>(
  operationName: string,
  operation: () => Promise<T>
): Promise<T> {
  return tracer.startActiveSpan(`groq.${operationName}`, async (span) => {
    try {
      const result = await operation();
      span.setStatus({ code: SpanStatusCode.OK });
      return result;
    } catch (error: any) {
      span.setStatus({ code: SpanStatusCode.ERROR, message: error.message });
      span.recordException(error);
      throw error;
    } finally {
      span.end();
    }
  });
}

Logging Strategy

Structured Logging

import pino from 'pino';

const logger = pino({
  name: 'groq',
  level: process.env.LOG_LEVEL || 'info',
});

function logGroqOperation(
  operation: string,
  data: Record<string, any>,
  duration: number
) {
  logger.info({
    service: 'groq',
    operation,
    duration_ms: duration,
    ...data,
  });
}

Alert Configuration

Prometheus AlertManager Rules

# groq_alerts.yaml
groups:
  - name: groq_alerts
    rules:
      - alert: GroqHighErrorRate
        expr: |
          rate(groq_errors_total[5m]) /
          rate(groq_requests_total[5m]) > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Groq error rate > 5%"

      - alert: GroqHighLatency
        expr: |
          histogram_quantile(0.95,
            rate(groq_request_duration_seconds_bucket[5m])
          ) > 2
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Groq P95 latency > 2s"

      - alert: GroqDown
        expr: up{job="groq"} == 0
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: "Groq integration is down"

Dashboard

Grafana Panel Queries

{
  "panels": [
    {
      "title": "Groq Request Rate",
      "targets": [{
        "expr": "rate(groq_requests_total[5m])"
      }]
    },
    {
      "title": "Groq Latency P50/P95/P99",
      "targets": [{
        "expr": "histogram_quantile(0.5, rate(groq_request_duration_seconds_bucket[5m]))"
      }]
    }
  ]
}

Instructions

Step 1: Set Up Metrics Collection

Implement Prometheus counters, histograms, and gauges for key operations.

Step 2: Add Distributed Tracing

Integrate OpenTelemetry for end-to-end request tracing.

Step 3: Configure Structured Logging

Set up JSON logging with consistent field names.

Step 4: Create Alert Rules

Define Prometheus alerting rules for error rates and latency.

Output

Metrics collection enabled
Distributed tracing configured
Structured logging implemented
Alert rules deployed

Error Handling

Issue	Cause	Solution
Missing metrics	No instrumentation	Wrap client calls
Trace gaps	Missing propagation	Check context headers
Alert storms	Wrong thresholds	Tune alert rules
High cardinality	Too many labels	Reduce label values

Examples

Quick Metrics Endpoint

app.get('/metrics', async (req, res) => {
  res.set('Content-Type', registry.contentType);
  res.send(await registry.metrics());
});

Resources

Next Steps

For incident response, see groq-incident-runbook.

groq-observability