wn01011/llm-token-tracker
Token usage tracker for OpenAI and Claude APIs with MCP support. Pass accurate API costs to your users.
Installation
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LLM Token Tracker ๐งฎ
Token usage tracker for OpenAI, Claude, and Gemini APIs with MCP (Model Context Protocol) support. Pass accurate API costs to your users.
โจ Features
- ๐ฏ Simple Integration - One line to wrap your API client
- ๐ Automatic Tracking - No manual token counting
- ๐ฐ Accurate Pricing - Up-to-date pricing for all models (2025)
- ๐ Multiple Providers - OpenAI, Claude, and Gemini support
- ๐ User Management - Track usage per user/session
- ๐ Currency Support - USD and KRW
- ๐ค MCP Server - Use directly in Claude Desktop!
- ๐ Intuitive Session Tracking - Real-time usage with progress bars
๐ฆ Installation
npm install llm-token-tracker
๐ Quick Start
Option 1: Use as Library
const { TokenTracker } = require('llm-token-tracker');
// or import { TokenTracker } from 'llm-token-tracker';
// Initialize tracker
const tracker = new TokenTracker({
currency: 'USD' // or 'KRW'
});
// Example: Manual tracking
const trackingId = tracker.startTracking('user-123');
// ... your API call here ...
tracker.endTracking(trackingId, {
provider: 'openai', // or 'anthropic' or 'gemini'
model: 'gpt-3.5-turbo',
inputTokens: 100,
outputTokens: 50,
totalTokens: 150
});
// Get user's usage
const usage = tracker.getUserUsage('user-123');
console.log(`Total cost: $${usage.totalCost}`);
๐ง With Real APIs
To use with actual OpenAI/Anthropic APIs:
const OpenAI = require('openai');
const { TokenTracker } = require('llm-token-tracker');
const tracker = new TokenTracker();
const openai = tracker.wrap(new OpenAI({
apiKey: process.env.OPENAI_API_KEY
}));
// Use normally - tracking happens automatically
const response = await openai.chat.completions.create({
model: "gpt-3.5-turbo",
messages: [{ role: "user", content: "Hello!" }]
});
console.log(response._tokenUsage);
// { tokens: 125, cost: 0.0002, model: "gpt-3.5-turbo" }
Option 2: Use as MCP Server
Add to Claude Desktop settings (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"token-tracker": {
"command": "npx",
"args": ["llm-token-tracker"]
}
}
}
Then in Claude:
- "Calculate current session usage" - See current session usage with intuitive format
- "Calculate current conversation cost" - Get cost breakdown with input/output tokens
- "Track my API usage"
- "Compare costs between GPT-4 and Claude"
- "Show my total spending today"
Available MCP Tools
-
get_current_session- ๐ Get current session usage (RECOMMENDED)- Returns: Used/Remaining tokens, Input/Output breakdown, Cost, Progress bar
- Default user_id:
current-session - Default budget: 190,000 tokens
- Perfect for real-time conversation tracking!
-
track_usage- Track token usage for an AI API call- Parameters: provider, model, input_tokens, output_tokens, user_id
-
get_usage- Get usage summary for specific user or all users -
compare_costs- Compare costs between different models -
clear_usage- Clear usage data for a user
Example MCP Output
๐ฐ Current Session
โโโโโโโโโโโโโโโโโโโโโโ
๐ Used: 62,830 tokens (33.1%)
โจ Remaining: 127,170 tokens
[โโโโโโโโโโโโโโโโโโโโ]
๐ฅ Input: 55,000 tokens
๐ค Output: 7,830 tokens
๐ต Cost: $0.2825
โโโโโโโโโโโโโโโโโโโโโโ
๐ Model Breakdown:
โข anthropic/claude-sonnet-4.5: 62,830 tokens ($0.2825)
๐ Supported Models & Pricing (Updated 2025)
OpenAI (2025)
| Model | Input (per 1K tokens) | Output (per 1K tokens) | Notes |
|---|---|---|---|
| GPT-5 Series | |||
| GPT-5 | $0.00125 | $0.010 | Latest flagship model |
| GPT-5 Mini | $0.00025 | $0.0010 | Compact version |
| GPT-4.1 Series | |||
| GPT-4.1 | $0.0020 | $0.008 | Advanced reasoning |
| GPT-4.1 Mini | $0.00015 | $0.0006 | Cost-effective |
| GPT-4o Series | |||
| GPT-4o | $0.0025 | $0.010 | Multimodal |
| GPT-4o Mini | $0.00015 | $0.0006 | Fast & cheap |
| o1 Reasoning Series | |||
| o1 | $0.015 | $0.060 | Advanced reasoning |
| o1 Mini | $0.0011 | $0.0044 | Efficient reasoning |
| o1 Pro | $0.015 | $0.060 | Pro reasoning |
| Legacy Models | |||
| GPT-4 Turbo | $0.01 | $0.03 | |
| GPT-4 | $0.03 | $0.06 | |
| GPT-3.5 Turbo | $0.0005 | $0.0015 | Most affordable |
| Media Models | |||
| DALL-E 3 | $0.040 per image | - | Image generation |
| Whisper | $0.006 per minute | - | Speech-to-text |
Anthropic (2025)
| Model | Input (per 1K tokens) | Output (per 1K tokens) | Notes |
|---|---|---|---|
| Claude 4 Series | |||
| Claude Opus 4.1 | $0.015 | $0.075 | Most powerful |
| Claude Opus 4 | $0.015 | $0.075 | Flagship model |
| Claude Sonnet 4.5 | $0.003 | $0.015 | Best for coding |
| Claude Sonnet 4 | $0.003 | $0.015 | Balanced |
| Claude 3 Series | |||
| Claude 3.5 Sonnet | $0.003 | $0.015 | |
| Claude 3.5 Haiku | $0.00025 | $0.00125 | Fastest |
| Claude 3 Opus | $0.015 | $0.075 | |
| Claude 3 Sonnet | $0.003 | $0.015 | |
| Claude 3 Haiku | $0.00025 | $0.00125 | Most affordable |
Google Gemini (2025)
| Model | Input (per 1K tokens) | Output (per 1K tokens) | Notes |
|---|---|---|---|
| Gemini 2.0 Series | |||
| Gemini 2.0 Flash (Exp) | Free | Free | Experimental preview |
| Gemini 2.0 Flash Thinking | Free | Free | Reasoning preview |
| Gemini 1.5 Series | |||
| Gemini 1.5 Pro | $0.00125 | $0.005 | Most capable |
| Gemini 1.5 Flash | $0.000075 | $0.0003 | Fast & efficient |
| Gemini 1.5 Flash-8B | $0.0000375 | $0.00015 | Ultra-fast |
| Gemini 1.0 Series | |||
| Gemini 1.0 Pro | $0.0005 | $0.0015 | Legacy model |
| Gemini 1.0 Pro Vision | $0.00025 | $0.0005 | Multimodal |
| Gemini Ultra | $0.002 | $0.006 | Premium tier |
Note: Prices shown are per 1,000 tokens. Batch API offers 50% discount. Prompt caching can reduce costs by up to 90%.
๐ฏ Examples
Run the example:
npm run example
Check examples/basic-usage.js for detailed usage patterns.
๐ API Reference
new TokenTracker(config)
config.currency: 'USD' or 'KRW' (default: 'USD')config.webhookUrl: Optional webhook for usage notifications
tracker.wrap(client)
Wrap an OpenAI or Anthropic client for automatic tracking.
tracker.forUser(userId)
Create a user-specific tracker instance.
tracker.startTracking(userId?, sessionId?)
Start manual tracking session. Returns tracking ID.
tracker.endTracking(trackingId, usage)
End tracking and record usage.
tracker.getUserUsage(userId)
Get total usage for a user.
tracker.getAllUsersUsage()
Get usage summary for all users.
๐ Development
# Install dependencies
npm install
# Build TypeScript
npm run build
# Watch mode
npm run dev
# Run examples
npm run example
๐ License
MIT
๐ค Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
๐ Issues
For bugs and feature requests, please create an issue.
๐ฆ What's New in v2.4.0
- ๐ Gemini API Support - Full integration with Google's Gemini models
- ๐ Gemini 2.0 Support - Free preview models included
- ๐ Enhanced Pricing - Up-to-date Gemini 1.5 and 2.0 pricing
- ๐ง Auto-detection - Automatic Gemini client wrapping
- ๐ฐ Cost Comparison - Compare Gemini with OpenAI and Claude
๐ฆ What's New in v2.3.0
- ๐ฑ Real-time exchange rates - Automatic USD to KRW conversion
- ๐ Uses exchangerate-api.com for accurate rates
- ๐พ 24-hour caching to minimize API calls
- ๐ New
get_exchange_ratetool to check current rates - ๐ Background auto-updates with fallback support
What's New in v2.2.0
- ๐๏ธ File-based persistence - Session data survives server restarts
- ๐พ Automatic saving to
~/.llm-token-tracker/sessions.json - ๐ Works for both npm and local installations
- ๐ Historical data tracking across sessions
- ๐ฏ Zero configuration required - just works!
What's New in v2.1.0
- ๐ Added
get_current_sessiontool for intuitive session tracking - ๐ Real-time progress bars and visual indicators
- ๐ฐ Enhanced cost breakdown with input/output token separation
- ๐จ Improved formatting with thousands separators
- ๐ง Better default user_id handling (
current-session)
Built with โค๏ธ for developers who need transparent AI API billing.
