MCLLM

If you like this project, please consider giving it a ⭐ on GitHub!

This is a fork of MCChatGPT.
Unlike the original, the base URI is no longer hardcoded—you can now configure it via a file, making it compatible with nearly any LLM service, not just OpenAI.

How to Use

1. Download the JAR file compatible with your Minecraft version from GitHub or here, and place it in your mods folder.
   (Make sure the appropriate mod loader is installed.)

2. Download the required dependencies from the same source and also place them in the mods folder.

   • Supported platforms: Fabric (>= 1.20.1), Forge (1.19.4–1.20.1), and NeoForge (>= 1.21.1)

3. Launch the game once to generate the configuration file.

4. Open config/mcllm.json and edit the following fields:

   • baseurl: Set this to the endpoint of your preferred LLM service, e.g. https://api.deepseek.com/v1
   • model: Specify the model name, e.g. deepseek-chat

5. Re-launch the game, then run:
   /mcllm-auth YourToken
   This securely stores your token (it will be encrypted in the config file).

6. Use /ask YourQuestion to send a message to the LLM.
   The LLM’s reply will appear in your local chat—only you can see it.

MCLLM

If you like this project, please consider giving it a ⭐ on GitHub!

This is a fork of MCChatGPT.
Unlike the original, the base URI is no longer hardcoded—you can now configure it via a file, making it compatible with nearly any LLM service, not just OpenAI.

How to Use

1. Download the JAR file compatible with your Minecraft version from Modrinth or GitHub, and place it in your mods folder.
   (Make sure the appropriate mod loader is installed.)

2. Download the required dependencies from the same source and also place them in the mods folder.
   (They are usually listed on the Modrinth.)

   • Supported platforms: Fabric (>= 1.20.1), Forge (1.19.4–1.20.1), and NeoForge (>= 1.21.1)

• Launch the game once to generate the configuration file.

• Open config/mcllm.json and edit the following fields:

  • baseurl: Set this to the endpoint of your preferred LLM service, e.g. https://api.deepseek.com/v1
  • model: Specify the model name, e.g. deepseek-chat

• Re-launch the game, then run:
  /mcllm-auth YourToken
  This securely stores your token (it will be encrypted in the config file).

• Use /ask YourQuestion to send a message to the LLM.
  The LLM’s reply will appear in your local chat—only you can see it.