package.json

{
  "name": "ai.undream.llm",
  "version": "2.3.0",
  "displayName": "LLM for Unity",
  "description": "LLM for Unity allows to run and distribute Large Language Models (LLMs) in the Unity engine.",
  "unity": "2022.3",
  "unityRelease": "16f1",
  "documentationUrl": "https://undream.ai/LLMUnity",
  "testables": [
    "undream.llmunity.Runtime.Tests"
  ],
  "keywords": [
    "llm",
    "large language model",
    "Llama",
    "GPT",
    "ChatGPT",
    "artificial intelligence",
    "AI",
    "NPC",
    "conversation",
    "dialogue",
    "chat",
    "chatbot",
    "generative"
   ],
   "samples": [
    {
      "displayName": "SimpleInteraction",
      "description": "Simple interaction with an AI character",
      "path": "Samples~/SimpleInteraction"
    },
    {
      "displayName": "MultipleCharacters",
      "description": "Simple interaction using multiple AI characters",
      "path": "Samples~/MultipleCharacters"
    },
    {
      "displayName": "KnowledgeBaseGame",
      "description": "Simple detective game using a knowledge base to provide information to the LLM.",
      "path": "Samples~/KnowledgeBaseGame"
    },
    {
      "displayName": "ChatBot",
      "description": "Interaction between a player and a AI with a UI similar to a messaging app",
      "path": "Samples~/ChatBot"
    },
    {
      "displayName": "AndroidDemo",
      "description": "Example Android app with an initial screen with model download progress",
      "path": "Samples~/AndroidDemo"
    },
    {
      "displayName": "RAG",
      "description": "Semantic search using a Retrieval Augmented Generation (RAG) system. Includes example using a RAG to feed information to a LLM.",
      "path": "Samples~/RAG"
    }
   ],
   "author": {
    "name": "Undream AI",
    "email": "hello@undream.ai",
    "url": "https://undream.ai"
  }
}