groq-prod-checklist

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Execute Groq production deployment checklist and rollback procedures. Use when deploying Groq integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "groq production", "deploy groq", "groq go-live", "groq launch checklist".

Install

mkdir -p .claude/skills/groq-prod-checklist && curl -L -o skill.zip "https://mcp.directory/api/skills/download/7426" && unzip -o skill.zip -d .claude/skills/groq-prod-checklist && rm skill.zip

Installs to .claude/skills/groq-prod-checklist

About this skill

Groq Production Checklist

Overview

Complete pre-launch checklist for deploying Groq-powered applications to production. Covers API key security, model selection, rate limit planning, fallback strategies, and monitoring setup.

Prerequisites

  • Staging environment tested with Groq API
  • Groq Developer or Enterprise plan (free tier is not suitable for production)
  • Production API key created in console.groq.com
  • Monitoring and alerting infrastructure ready

Pre-Deployment Checklist

API Key & Auth

  • Production API key stored in secret manager (not .env files)
  • Key is NOT shared with development or staging environments
  • Key rotation procedure documented and tested
  • Pre-commit hook blocks gsk_ pattern in code

Model Selection

  • Production model chosen and tested (recommend llama-3.3-70b-versatile)
  • Fallback model configured (llama-3.1-8b-instant)
  • Deprecated model IDs removed (check deprecations)
  • max_tokens set to actual expected output size (not context max)

Rate Limit Planning

  • Production rate limits known (check console.groq.com/settings/limits)
  • Estimated peak RPM < 80% of limit
  • Estimated peak TPM < 80% of limit
  • Exponential backoff with retry-after header implemented
  • Request queue for burst protection (p-queue or similar)

Error Handling

  • All Groq error types caught (Groq.APIError, Groq.APIConnectionError)
  • 429 errors retried with backoff
  • 5xx errors retried with backoff
  • 401 errors trigger alert (key may be revoked)
  • Network timeouts configured (default 60s may be too long)
  • Circuit breaker pattern for sustained failures

Fallback & Degradation

async function completionWithFallback(messages: any[]) {
  try {
    return await groq.chat.completions.create({
      model: "llama-3.3-70b-versatile",
      messages,
      timeout: 15_000,
    });
  } catch (err: any) {
    if (err.status === 429 || err.status >= 500) {
      console.warn("Groq primary failed, trying fallback model");
      try {
        return await groq.chat.completions.create({
          model: "llama-3.1-8b-instant",
          messages,
          timeout: 10_000,
        });
      } catch {
        console.error("Groq fully unavailable, degrading gracefully");
        return { choices: [{ message: { content: "Service temporarily unavailable. Please try again." } }] };
      }
    }
    throw err;
  }
}

Health Check Endpoint

// /api/health or /healthz
export async function GET() {
  const checks: Record<string, any> = { status: "healthy" };
  const start = performance.now();

  try {
    await groq.chat.completions.create({
      model: "llama-3.1-8b-instant",
      messages: [{ role: "user", content: "OK" }],
      max_tokens: 1,
      temperature: 0,
    });
    checks.groq = { status: "connected", latencyMs: Math.round(performance.now() - start) };
  } catch (err: any) {
    checks.status = "degraded";
    checks.groq = { status: "error", error: err.status || err.message };
  }

  return Response.json(checks, { status: checks.status === "healthy" ? 200 : 503 });
}

Monitoring Setup

  • Latency histogram (p50, p95, p99)
  • Token throughput counter (tokens/sec by model)
  • Error rate by status code (429, 5xx)
  • Rate limit remaining gauge (from response headers)
  • Cost tracking (tokens * price per million)
  • Alert: latency p95 > 1s (Groq normally < 200ms)
  • Alert: error rate > 5%
  • Alert: rate limit remaining < 10%

Spending Controls

  • Monthly spending cap set in Groq Console
  • Budget alerts at 50%, 80%, 95%
  • Auto-pause enabled when cap is reached

Documentation

  • Incident runbook created (see groq-incident-runbook)
  • Key rotation SOP documented
  • On-call knows how to check status.groq.com
  • Rollback procedure tested

Go-Live Verification

set -euo pipefail
# Pre-flight checks
echo "1. Groq API status..."
curl -sf https://status.groq.com > /dev/null && echo "OK" || echo "ISSUE"

echo "2. Production key valid..."
curl -sf https://api.groq.com/openai/v1/models \
  -H "Authorization: Bearer $GROQ_API_KEY_PROD" | jq '.data | length'

echo "3. Health endpoint..."
curl -sf https://your-app.com/api/health | jq .

echo "4. Rate limit headroom..."
curl -si https://api.groq.com/openai/v1/chat/completions \
  -H "Authorization: Bearer $GROQ_API_KEY_PROD" \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-3.1-8b-instant","messages":[{"role":"user","content":"ping"}],"max_tokens":1}' \
  2>/dev/null | grep -i "x-ratelimit-remaining"

Error Handling

AlertConditionSeverity
API errors spike5xx rate > 5/minP1
Latency degradedp95 > 1000msP2
Rate limited429 count > 5/minP2
Auth failureAny 401 errorP1
Spending near cap>90% of monthly budgetP3

Resources

Next Steps

For version upgrades, see groq-upgrade-migration.

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