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llm-cost-estimator

v1.0.2

Published

Estimate USD costs for Large Language Model API calls with dynamic pricing fetching

Readme

📊 llm-cost-estimator

Estimate USD costs for Large Language Model (LLM) API calls with dynamic pricing fetching and accurate token counting.


🚀 Quick Start

Installation

npm install -g llm-cost-estimator

Basic Usage

llm-cost "Your prompt here" --model gpt-4 --output 100

Output:

$0.0061

📚 Documentation

Comprehensive documentation is available in the GitHub repository:

Core Documentation

  • 🔧 Installation & Setup - Installation instructions, global setup, and configuration options
  • 💻 CLI Usage - Complete guide to using the command-line interface, all options, and examples
  • 📦 Programmatic API - How to use the package in your TypeScript/JavaScript projects
  • 🤖 Supported Models - Complete list of all supported models across OpenAI, Anthropic, Gemini, and Grok
  • 🔢 Token Counting - Understanding how tokens are counted, tiktoken vs fallback, and accuracy
  • 💰 Pricing Data - How pricing is fetched, cached, and updated dynamically
  • 🏗️ Project Structure - File organization, directory layout, and code architecture
  • 🔌 Adding Providers - Guide to extending the package with new LLM providers
  • ⚙️ Development - Building, testing, and contributing to the project

✨ Features

  • Accurate Token Counting - Uses @dqbd/tiktoken for OpenAI models, with fallback estimation for others
  • Dynamic Pricing - Fetches up-to-date pricing from provider websites at runtime
  • Multiple Providers - Supports OpenAI, Anthropic (Claude), Google Gemini, and Grok (xAI)
  • Smart Caching - In-memory cache with 24-hour TTL to minimize API calls
  • CLI Tool - Easy-to-use command-line interface with minimal output
  • TypeScript - Fully typed with strict TypeScript support
  • Modular Design - Easy to extend with new providers

📄 License

MIT

🤝 Contributing

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