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Monitor individual user activity, costs, and behavior patterns to understand how your application is being used.
Users are tracked by the userId field passed to the SDK’s trace() function. See Development documentation for setup instructions.
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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