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llm-token-tracker

by wn01011
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TypeScript
MIT License
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LLM Token Tracker šŸ§®

Token usage tracker for OpenAI, Claude, and Gemini APIs with MCP (Model Context Protocol) support. Pass accurate API costs to your users.

npm version License: MIT

āœØ Features

  • šŸŽÆ Simple Integration - One line to wrap your API client

  • šŸ“Š Automatic Tracking - No manual token counting

  • šŸ’° Accurate Pricing - Up-to-date pricing for all models (2025)

  • šŸ”„ Multiple Providers - OpenAI, Claude, and Gemini support

  • šŸ“ˆ User Management - Track usage per user/session

  • šŸŒ Currency Support - USD and KRW

  • šŸ¤– MCP Server - Use directly in Claude Desktop!

  • šŸ†• Intuitive Session Tracking - Real-time usage with progress bars

šŸ“¦ Installation

npm install llm-token-tracker

šŸš€ 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}`);

šŸ”§ 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

  1. get_current_session - šŸ†• 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!

  2. track_usage - Track token usage for an AI API call

    • Parameters: provider, model, input_tokens, output_tokens, user_id

  3. get_usage - Get usage summary for specific user or all users

  4. compare_costs - Compare costs between different models

  5. clear_usage - Clear usage data for a user

Example MCP Output

šŸ’° Current Session ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā” šŸ“Š Used: 62,830 tokens (33.1%) āœØ Remaining: 127,170 tokens [ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘] šŸ“„ Input: 55,000 tokens šŸ“¤ Output: 7,830 tokens šŸ’µ Cost: $0.2825 ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā” šŸ“‹ Model Breakdown: ā€¢ anthropic/claude-sonnet-4.5: 62,830 tokens ($0.2825)

šŸ“Š 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%.

šŸŽÆ Examples

Run the example:

npm run example

Check examples/basic-usage.js for detailed usage patterns.

šŸ“ 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.

šŸ›  Development

# Install dependencies npm install # Build TypeScript npm run build # Watch mode npm run dev # Run examples npm run example

šŸ“„ License

MIT

šŸ¤ Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

šŸ› Issues

For bugs and feature requests, please create an issue.

šŸ“¦ What's New in v2.4.0

  • šŸŽ‰ Gemini API Support - Full integration with Google's Gemini models

  • šŸ’Ž Gemini 2.0 Support - Free preview models included

  • šŸ“Š Enhanced Pricing - Up-to-date Gemini 1.5 and 2.0 pricing

  • šŸ”§ Auto-detection - Automatic Gemini client wrapping

  • šŸ’° Cost Comparison - Compare Gemini with OpenAI and Claude

šŸ“¦ What's New in v2.3.0

  • šŸ’± Real-time exchange rates - Automatic USD to KRW conversion

  • šŸŒ Uses exchangerate-api.com for accurate rates

  • šŸ’¾ 24-hour caching to minimize API calls

  • šŸ“Š New get_exchange_rate tool to check current rates

  • šŸ”„ Background auto-updates with fallback support

What's New in v2.2.0

  • šŸ—„ļø File-based persistence - Session data survives server restarts

  • šŸ’¾ Automatic saving to ~/.llm-token-tracker/sessions.json

  • šŸ”„ Works for both npm and local installations

  • šŸ“Š Historical data tracking across sessions

  • šŸŽÆ Zero configuration required - just works!

What's New in v2.1.0

  • šŸ†• Added get_current_session tool for intuitive session tracking

  • šŸ“Š Real-time progress bars and visual indicators

  • šŸ’° Enhanced cost breakdown with input/output token separation

  • šŸŽØ Improved formatting with thousands separators

  • šŸ”§ Better default user_id handling (current-session)

Built with ā¤ļø for developers who need transparent AI API billing.

Deploy Server
A
security ā€“ no known vulnerabilities
-
license - not tested
A
quality - confirmed to work

How are these scores calculated?

Tools

Token usage tracker for OpenAI and Claude APIs with MCP (Model Context Protocol) support.

  1. āœØ Features
    1. šŸ“¦ Installation
      1. šŸš€ Quick Start
        1. Option 1: Use as Library
      2. šŸ”§ With Real APIs
        1. Option 2: Use as MCP Server
      3. šŸ“Š Supported Models & Pricing (Updated 2025)
        1. OpenAI (2025)
        2. Anthropic (2025)
        3. Google Gemini (2025)
      4. šŸŽÆ Examples
        1. šŸ“ API Reference
          1. new TokenTracker(config)
          2. tracker.wrap(client)
          3. tracker.forUser(userId)
          4. tracker.startTracking(userId?, sessionId?)
          5. tracker.endTracking(trackingId, usage)
          6. tracker.getUserUsage(userId)
          7. tracker.getAllUsersUsage()
        2. šŸ›  Development
          1. šŸ“„ License
            1. šŸ¤ Contributing
              1. šŸ› Issues
                1. šŸ“¦ What's New in v2.4.0
                  1. šŸ“¦ What's New in v2.3.0
                    1. What's New in v2.2.0
                      1. What's New in v2.1.0

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