Track Usage for Coding Tools
Track usage and costs for AI-powered coding tools like Claude Code, Roo Code, Gemini CLI, and OpenAI Codex through LiteLLM.
Monitor requests, costs, and user engagement metrics for each coding tool using User-Agent headers.
Who This Is Forβ
Central AI Platform teams providing developers access to coding tools through LiteLLM. Monitor tool engagement and track individual user usage patterns.
What You Can Trackβ
Summary Metricsβ
- Cost per coding tool
- Successful requests and token usage per tool
User Engagement Metricsβ
- Daily, weekly, and monthly active users for each User-Agent
Quick Startβ
1. Connect Your Coding Tool to LiteLLMβ
Configure your coding tool to send requests through the LiteLLM proxy with appropriate User-Agent headers.
Setup guides:
2. Send Requests with User-Agent Headersβ
Ensure your coding tool includes identifying User-Agent headers in API requests.
3. Verify Tracking in LiteLLM Logsβ
Confirm LiteLLM is properly tracking requests by checking logs for the expected User-Agent values.
4. View Usage Dashboardβ
Access the LiteLLM dashboard to view aggregated usage metrics and user engagement data.
Summary Metricsβ
View total cost and successful requests for each coding tool.
Daily, Weekly, and Monthly Active Usersβ
View active user metrics for each coding tool.
How LiteLLM Identifies Coding Toolsβ
LiteLLM tracks coding tools by monitoring the User-Agent header in incoming API requests (/chat/completions, /responses, etc.). Each unique User-Agent is tracked separately for usage analytics.
Example Requestβ
Example using claude-cli as the User-Agent:
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-H "User-Agent: claude-cli/1.0" \
-d '{"model": "claude-3-5-sonnet-latest", "messages": [{"role": "user", "content": "Hello, how are you?"}]}' \
http://localhost:4000/chat/completions