claude-code-otel

Claude Code Observability Stack

A comprehensive observability solution for monitoring Claude Code usage, performance, and costs. This setup implements the recommendations from the Claude Code Observability Documentation to provide deep insights into AI-assisted development workflows.

📸 Dashboard Screenshots

💰 Cost & Usage Analysis
Track spending across different Claude models with detailed breakdowns of costs, API requests, and token usage patterns.

*Features: Model cost comparison, API request tracking, token usage breakdown by type*

📊 User Activity & Productivity
Monitor development productivity with comprehensive session analytics, tool usage patterns, and code change metrics.

*Features: Session tracking, tool performance metrics, code productivity insights*

🎯 Features

📊 Comprehensive Monitoring
- Cost Analysis: Track usage costs by model, user, and time periods
- User Analytics: Daily/Weekly/Monthly Active Users (DAU/WAU/MAU)
- Tool Usage: Monitor which Claude Code tools are used most frequently
- Performance Metrics: API latency, success rates, and bottleneck identification
- Productivity Insights: Lines of code changes, commits, and pull requests

📊 Enhanced Analytics
- API Request Tracking: Monitor actual request counts by model version
- Token Efficiency: Track cost-per-token across different models
- Session Analytics: Comprehensive session and productivity tracking
- Real-time Monitoring: Live dashboards with 30-second refresh rates

📈 Rich Dashboards
- Executive Overview: High-level KPIs and trends
- Cost Management: Detailed cost breakdowns and projections
- Tool Performance: Success rates and execution times
- User Activity: Productivity and engagement metrics
- Error Analysis: Comprehensive error tracking and investigation

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