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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 and Claude 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 and Claude 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', 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

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 v2.3.0

  • 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
-
security - not tested
A
license - permissive license
-
quality - not tested

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)
      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 v2.3.0
                  1. What's New in v2.2.0
                    1. What's New in v2.1.0

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