Luanti ContentDB Mirror

⚠️ Important Setup Note

Add the following line to your minetest.conf for API connectivity:

secure.http_mods = llm_connect

About LLM Connect

LLM Connect turns Luanti into a Lua-first AI-assisted development and agent environment. It connects your server to OpenAI-compatible LLM endpoints, local or hosted, and provides integrated chat, Smart Lua IDE tooling, and modular agent skills.

Features

AI Chat

• Talk to an LLM directly from inside Luanti.
• Context-aware responses using relevant server and player state.
• Configurable provider support through OpenAI-compatible endpoints.

Smart Lua IDE

• In-game editor with code and output panels.

• AI code generation, explanation and repair workflow.

• Sandboxed execution for llm_dev.

• Owner-level development workflow for llm_root.

• World-backed snippet storage compatible with Luanti 5.16+.

• Explicit cold reload management through the File Manager:

  • Run executes code transiently.
  • Save persists snippets without enabling startup execution.
  • Enable on Restart loads selected scripts during the next server/world startup.

• Supports startup registration workflows for generated nodes, tools, entities and crafts.

Lua-first Agent and Skills

• Dual-channel architecture: visible assistant replies plus structured Lua actions.

• Centralized execution through the runtime executor.

• Capability-separated permissions for chat, development, agents and root access.

• Internal skill modules:

  • command_agent
  • mapgen_painter
  • node_printer_preview

• External Lua-first skill mods can register through the skill registry and are validated at startup.

Supported API Providers

Any compatible OpenAI-style endpoint may work, including:

• OpenAI API
• Mistral API
• Ollama
• LocalAI
• Open WebUI and compatible local gateways

Privileges

Quick Start

1. Add secure.http_mods = llm_connect to minetest.conf.
2. Enable the mod for your world.
3. Configure your API in-game using /llm_config.
4. Grant appropriate privileges, for example: /grant <name> llm_root.
5. Open LLM Connect with /llm.