fireflies-prod-checklist

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

Install

mkdir -p .claude/skills/fireflies-prod-checklist && curl -L -o skill.zip "https://mcp.directory/api/skills/download/8783" && unzip -o skill.zip -d .claude/skills/fireflies-prod-checklist && rm skill.zip

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

About this skill

Fireflies.ai Production Checklist

Overview

Complete checklist for deploying Fireflies.ai integrations to production. Covers API key management, webhook setup, health checks, and monitoring.

Prerequisites

  • Staging environment tested
  • Production API key from Fireflies dashboard
  • Webhook endpoint with HTTPS and signature verification
  • Monitoring infrastructure ready

Pre-Deployment Checklist

API & Auth

  • Production FIREFLIES_API_KEY in secret manager (not env file)
  • API key has minimum required access
  • FIREFLIES_WEBHOOK_SECRET configured (16-32 chars)
  • Separate keys for dev/staging/prod environments
  • Key rotation procedure documented

Code Quality

  • All GraphQL queries tested against real API in staging
  • Error handling for all Fireflies error codes (auth_failed, too_many_requests, require_ai_credits)
  • Rate limiting with exponential backoff implemented
  • No hardcoded API keys or transcript IDs
  • Webhook signature verification (HMAC-SHA256) enabled

Webhook Configuration

  • Webhook URL registered in Fireflies dashboard (Settings > Developer settings)
  • HTTPS endpoint with valid TLS certificate
  • x-hub-signature header verified on every request
  • Webhook handler responds with 200 immediately (process async)
  • Dead-letter queue for failed webhook processing

Health Check Endpoint

// /api/health
export async function GET() {
  const checks: Record<string, any> = {};

  // Fireflies API connectivity
  try {
    const start = Date.now();
    const res = await fetch("https://api.fireflies.ai/graphql", {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        Authorization: `Bearer ${process.env.FIREFLIES_API_KEY}`,
      },
      body: JSON.stringify({ query: "{ user { email } }" }),
      signal: AbortSignal.timeout(5000),
    });
    const json = await res.json();
    checks.fireflies = {
      status: json.errors ? "error" : "healthy",
      latencyMs: Date.now() - start,
      error: json.errors?.[0]?.code,
    };
  } catch (err) {
    checks.fireflies = { status: "unreachable", error: (err as Error).message };
  }

  const allHealthy = Object.values(checks).every((c: any) => c.status === "healthy");
  return Response.json(
    { status: allHealthy ? "healthy" : "degraded", checks },
    { status: allHealthy ? 200 : 503 }
  );
}

Monitoring & Alerting

  • Alert on Fireflies API errors (5xx, 401, 429)
  • Track webhook delivery latency
  • Monitor transcript processing queue depth
  • Dashboard showing: meetings/day, avg processing time, error rate
  • PagerDuty/Slack alert for auth failures (P1)

Alerting Thresholds

AlertConditionSeverity
Auth failureAny auth_failed errorP1 -- API key may be revoked
Rate limited429 errors > 5/minP2 -- backoff or upgrade plan
API unreachableHealth check fails 3xP1 -- check Fireflies status
Webhook backlogQueue > 100 eventsP3 -- scale webhook processor

Deployment Steps

Step 1: Pre-flight

set -euo pipefail
# Verify staging passes
curl -f https://staging.example.com/api/health | jq '.checks.fireflies'

# Verify production API key works
curl -s -X POST https://api.fireflies.ai/graphql \
  -H "Authorization: Bearer $FIREFLIES_API_KEY_PROD" \
  -H "Content-Type: application/json" \
  -d '{"query": "{ user { email is_admin } }"}' | jq .

Step 2: Deploy

set -euo pipefail
# Deploy with your platform
# Vercel: vercel --prod
# Docker: docker push && kubectl apply
# Fly.io: fly deploy --app production

# Verify health immediately
curl -f https://production.example.com/api/health | jq .

Step 3: Post-Deploy Verification

set -euo pipefail
# Verify webhook is registered
curl -s -X POST https://api.fireflies.ai/graphql \
  -H "Authorization: Bearer $FIREFLIES_API_KEY_PROD" \
  -H "Content-Type: application/json" \
  -d '{"query": "{ user { email } }"}' | jq .

# Test webhook delivery (upload a short audio file)
curl -s -X POST https://api.fireflies.ai/graphql \
  -H "Authorization: Bearer $FIREFLIES_API_KEY_PROD" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "mutation($input: AudioUploadInput) { uploadAudio(input: $input) { success message } }",
    "variables": { "input": { "url": "https://example.com/test.mp3", "title": "Deploy Test" } }
  }' | jq .

Rollback

set -euo pipefail
# Immediate rollback
# Platform-specific: revert deployment to previous version

# Verify rollback
curl -f https://production.example.com/api/health | jq '.checks.fireflies'

Error Handling

IssueCauseSolution
Auth fails post-deployWrong API key in production secretsUpdate secret, redeploy
Webhook not firingURL not saved in Fireflies dashboardRe-register at app.fireflies.ai/settings
Rate limiting in prodBurst traffic on deployEnable request queuing
Missing transcriptsBot not joining meetingsVerify calendar integration is connected

Output

  • Production deployment with verified health checks
  • Webhook endpoint receiving and verifying events
  • Monitoring and alerting configured
  • Rollback procedure tested

Resources

Next Steps

For version upgrades, see fireflies-upgrade-migration.

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