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Monitor individual user activity, costs, and behavior patterns to understand how your application is being used. User Metrics

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Overview

Track detailed metrics for each user including:
  • Total requests and costs
  • Average latency
  • Token consumption
  • Recent activity
  • Error rates

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User Activity

Active Users - Track unique users over time Request Volumes - See how many requests each user makes Usage Patterns - Identify when users are most active Engagement Trends - Monitor user activity over time

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Cost Attribution

Per-User Costs - Track spending by individual user Cost Trends - See how user costs change over time Budget Alerts - Set alerts for high-cost users Billing Analysis - Understand costs for reporting and billing

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Performance Tracking

Latency by User - Average response times per user Token Usage - Input and output tokens per user Model Usage - Which models each user is accessing Error Rates - Track failures by user

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Use Cases

Customer Success - Identify power users and ensure they have a good experience Cost Management - Find high-cost users and optimize their usage Support - Debug issues for specific users by viewing their activity Product Analytics - Understand usage patterns to improve features Billing - Attribute costs to customers for usage-based pricing

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Best Practices

Monitor Regularly - Check user metrics to identify trends early Set Thresholds - Alert on unusual activity or high costs Correlate with Traces - Investigate specific user sessions and traces Track Cohorts - Group users by signup date or other attributes Export Data - Download user metrics for custom analysis

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Next Steps

Metrics

View overall application metrics

Sessions

Track user sessions

Traces and Logs

View individual user requests

Alerts

Set up user-based alerts

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