diff --git a/docs/my-website/docs/tutorials/cost_tracking_coding.md b/docs/my-website/docs/tutorials/cost_tracking_coding.md
index ae0c30070a..ffad2d45c8 100644
--- a/docs/my-website/docs/tutorials/cost_tracking_coding.md
+++ b/docs/my-website/docs/tutorials/cost_tracking_coding.md
@@ -4,9 +4,9 @@ import Image from '@theme/IdealImage';
# Track Usage for Coding Tools
-This tutorial shows how to track usage and costs for AI-powered coding tools like Claude Code, Roo Code, Gemini CLI, and OpenAI Codex through LiteLLM.
+Track usage and costs for AI-powered coding tools like Claude Code, Roo Code, Gemini CLI, and OpenAI Codex through LiteLLM.
-Track requests, total costs, and user engagement metrics for each coding tool via User-Agent headers.
+Monitor requests, costs, and user engagement metrics for each coding tool using User-Agent headers.
+View total cost and successful requests for each coding tool.
+#### Daily, Weekly, and Monthly Active Users
-#### DAU, WAU, MAU
-
-This shows the daily, weekly, and monthly active users for each coding tool.
-
-
+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
-Here's an example using `claude-cli` as the User-Agent:
+Example using `claude-cli` as the User-Agent:
```shell
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
+ -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
```