Translate All in One

Translate All in One

Mod

A powerful Minecraft server content AI translation mod, allowing you to easily enjoy international servers!一个强大的 Minecraft 服务器内容AI翻译模组,让您轻松畅玩国际服务器!

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Translate All in One

A powerful in-game AI real-time translation mod for Minecraft, based on Fabric.

✨ Features

  • Chat Translation: Real-time translation of chat messages, supporting streaming responses for a seamless communication experience.
  • Item Translation: Automatically translates item names and descriptions (Lore), supporting template caching, efficient and resource-saving.
  • Highly Configurable: Through the in-game menu (requires ModMenu), you can easily configure:
    • Support for multiple AI service providers (OpenAI, Ollama).
    • Set independent translation models and parameters for different functions (chat, items).
    • Customize API address, key, model ID, etc.
  • Smart Caching: Automatically caches translation results, reducing repeated requests and improving performance.

🛠️ Installation and Usage

  1. Make sure you have installed Fabric Loader.
  2. Download the latest version of this mod and the required dependencies:
  3. Place all downloaded .jar files into the mods folder of your Minecraft instance.
  4. Launch the game, find Translate All in One in the ModMenu configuration interface, and set your AI service provider information.

🔧 Configuration

This mod uses the Cloth Config API to provide a detailed configuration interface. You can perform the following settings in ModMenu:

  • General Settings:
    • Target translation language.
  • Service Provider Settings (OpenAI / Ollama):
    • API Base URL
    • API Key (Only for OpenAI)
    • Model ID
    • Model Temperature (Temperature)
    • Other custom parameters

🤝 Contribution

We welcome any form of contribution! If you find any bugs or have feature suggestions, feel free to submit them on this project's GitHub Issues page.

📜 License

This project is licensed under the MIT License.


Project members

CedarXuesong

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Details

Licensed MIT
Published 4 months ago
Updated 4 months ago