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Monitoring & Optimization

Kitten Stack provides comprehensive monitoring and optimization tools to help you track performance, manage costs, and improve your LLM applications.

Real-time Analytics Dashboard

The Analytics Dashboard gives you a complete view of your application's performance and usage:

  • Request Metrics - Track total requests, success rates, and error rates
  • Latency Monitoring - Measure response times across different models and endpoints
  • Usage Patterns - Identify peak usage times and user behavior trends
  • Error Tracking - Detect and diagnose issues quickly

Token-Level Cost Analysis

Understand and optimize your spending with detailed cost breakdowns:

  • Per-Model Costs - Compare costs across different AI models
  • Token Usage - Track input and output token consumption
  • Cost Allocation - Attribute costs to specific projects or features
  • Budget Alerts - Set up notifications for spending thresholds

Performance Optimization

Improve your application's performance with data-driven insights:

  • Model Selection - Identify the best-performing models for different tasks
  • Prompt Efficiency - Optimize prompts to reduce token usage
  • Caching Recommendations - Suggestions for implementing effective caching
  • Response Time Optimization - Strategies to reduce latency

Usage Monitoring

Track how your application is being used:

  • User Activity - Monitor active users and session metrics
  • Feature Utilization - See which capabilities are most frequently used
  • Content Analysis - Understand what types of queries are most common
  • Retention Metrics - Track how users engage with your application over time

Setting Up Monitoring

To set up monitoring for your Kitten Stack application:

  1. Navigate to the Dashboard - Log in to your account and go to the Dashboard
  2. Configure Metrics - Select which metrics you want to track
  3. Set Up Alerts - Create notifications for important thresholds
  4. Integrate with External Tools - Connect with services like Datadog or New Relic (Enterprise only)

API-Based Monitoring

You can also access monitoring data programmatically:

// JavaScript example - Getting usage statistics
const response = await fetch(
  'https://api.kittenstack.com/v1/analytics/usage?period=30d', 
  {
    headers: {
      'Authorization': 'Bearer your_api_key'
    }
  }
);

const data = await response.json();
console.log('Total requests:', data.total_requests);
console.log('Total tokens:', data.total_tokens);
console.log('Average response time:', data.avg_response_time);

Cost Management Best Practices

Follow these guidelines to optimize costs:

  • Use the right model for the task - More powerful models aren't always necessary
  • Optimize prompt length - Shorter prompts reduce token consumption
  • Implement caching - Store common responses to avoid redundant API calls
  • Set up budget alerts - Get notified before costs exceed expectations
  • Regular reviews - Analyze usage patterns to identify optimization opportunities

Performance Optimization Tips

Improve your application's performance with these strategies:

  • Implement streaming - Use streaming responses for better user experience
  • Batch similar requests - Combine related queries when possible
  • Use contextual compression - Reduce context size while preserving meaning
  • Monitor and tune - Regularly review performance metrics and make adjustments

Next Steps

To learn more about related topics: