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 For​
Central AI Platform teams providing developers access to coding tools through LiteLLM. Monitor tool engagement and track individual user usage patterns.
What You Can Track ​
Summary Metrics​
- Cost per coding tool
- Successful requests and token usage per tool
User Engagement Metrics​
- Daily, weekly, and monthly active users for each User-Agent
Quick Start​
1. Connect Your Coding Tool to LiteLLM​
Configure your coding tool to send requests through the LiteLLM proxy with appropriate User-Agent headers.
Setup guides:
2. Send Requests with User-Agent Headers​
Ensure your coding tool includes identifying User-Agent headers in API requests.
3. Verify Tracking in LiteLLM Logs​
Confirm LiteLLM is properly tracking requests by checking logs for the expected User-Agent values.
4. View Usage Dashboard​
Access the LiteLLM dashboard to view aggregated usage metrics and user engagement data.
Summary Metrics​
View total cost and successful requests for each coding tool.
Daily, Weekly, and Monthly Active Users​
View active user metrics for each coding tool.
How LiteLLM Identifies Coding Tools​
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 Request​
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