Fireflies.ai Cost Tuning

Usage Monitoring

class Fireflies.aiUsageMonitor {
  private requestCount = 0;
  private bytesTransferred = 0;
  private alertThreshold: number;

  constructor(monthlyBudget: number) {
    this.alertThreshold = monthlyBudget * 0.8; // 80% warning
  }

  track(request: { bytes: number }) {
    this.requestCount++;
    this.bytesTransferred += request.bytes;

    if (this.estimatedCost() > this.alertThreshold) {
      this.sendAlert('Approaching Fireflies.ai budget limit');
    }
  }

  estimatedCost(): number {
    return estimateFireflies.aiCost(this.requestCount).estimatedCost;
  }

  private sendAlert(message: string) {
    // Send to Slack, email, PagerDuty, etc.
  }
}

Cost Reduction Strategies

Step 1: Request Sampling

function shouldSample(samplingRate = 0.1): boolean {
  return Math.random() < samplingRate;
}

// Use for non-critical telemetry
if (shouldSample(0.1)) { // 10% sample
  await firefliesClient.trackEvent(event);
}

Step 2: Batching Requests

// Instead of N individual calls
await Promise.all(ids.map(id => firefliesClient.get(id)));

// Use batch endpoint (1 call)
await firefliesClient.batchGet(ids);

Step 3: Caching (from P16)

• Cache frequently accessed data
• Use cache invalidation webhooks
• Set appropriate TTLs

Step 4: Compression

const client = new Fireflies.aiClient({
  compression: true, // Enable gzip
});

Budget Alerts

# Set up billing alerts in Fireflies.ai dashboard
# Or use API if available:
# Check Fireflies.ai documentation for billing APIs

Cost Dashboard Query

-- If tracking usage in your database
SELECT
  DATE_TRUNC('day', created_at) as date,
  COUNT(*) as requests,
  SUM(response_bytes) as bytes,
  COUNT(*) * 0.001 as estimated_cost
FROM fireflies_api_logs
WHERE created_at >= NOW() - INTERVAL '30 days'
GROUP BY 1
ORDER BY 1;

Instructions

Step 1: Analyze Current Usage

Review Fireflies.ai dashboard for usage patterns and costs.

Step 2: Select Optimal Tier

Use the cost estimation function to find the right tier.

Step 3: Implement Monitoring

Add usage tracking to catch budget overruns early.

Step 4: Apply Optimizations

Enable batching, caching, and sampling where appropriate.

Output

• Optimized tier selection
• Usage monitoring implemented
• Budget alerts configured
• Cost reduction strategies applied

Error Handling

Examples

Quick Cost Check

// Estimate monthly cost for your usage
const estimate = estimateFireflies.aiCost(yourMonthlyRequests);
console.log(`Tier: ${estimate.tier}, Cost: $${estimate.estimatedCost}`);
if (estimate.recommendation) {
  console.log(`💡 ${estimate.recommendation}`);
}

Resources

• Fireflies.ai Pricing
• Fireflies.ai Billing Dashboard

Next Steps

For architecture patterns, see fireflies-reference-architecture.40:["$","$L49",null,{"content":"$4a","frontMatter":{"name":"fireflies-cost-tuning","description":"Optimize Fireflies.ai costs through tier selection, sampling, and usage monitoring.\nUse when analyzing Fireflies.ai billing, reducing API costs,\nor implementing usage monitoring and budget alerts.\nTrigger with phrases like "fireflies cost", "fireflies billing",\n"reduce fireflies costs", "fireflies pricing", "fireflies expensive", "fireflies budget".\n","allowed-tools":"Read, Grep","version":"1.0.0","license":"MIT","author":"Jeremy Longshore [email protected]"}}]