base on # Mindcraft 🧠⛏️ Crafting minds for Minecraft with LLMs and Mineflayer! [FAQ](https://github.com/kolbytn/mindcraft/blob/main/FAQ.md) | [Discord Support](https://discord.gg/mp73p35dzC) | [Blog Post](https://kolbynottingham.com/mindcraft/) | [Contributor TODO](https://github.com/users/kolbytn/projects/1) #### ‼️Warning‼️ Do not connect this bot to public servers with coding enabled. This project allows an LLM to write/execute code on your computer. While the code is sandboxed, it is still vulnerable to injection attacks on public servers. Code writing is disabled by default, you can enable it by setting `allow_insecure_coding` to `true` in `settings.js`. We strongly recommend running with additional layers of security such as docker containers. Ye be warned. ## Requirements - [Minecraft Java Edition](https://www.minecraft.net/en-us/store/minecraft-java-bedrock-edition-pc) (up to v1.21.1, recommend v1.20.4) - [Node.js Installed](https://nodejs.org/) (at least v14) - One of these: [OpenAI API Key](https://openai.com/blog/openai-api) | [Gemini API Key](https://aistudio.google.com/app/apikey) | [Anthropic API Key](https://docs.anthropic.com/claude/docs/getting-access-to-claude) | [Replicate API Key](https://replicate.com/) | [Hugging Face API Key](https://huggingface.co/) | [Groq API Key](https://console.groq.com/keys) | [Ollama Installed](https://ollama.com/download). | [Qwen API Key [Intl.]](https://www.alibabacloud.com/help/en/model-studio/developer-reference/get-api-key)/[[cn]](https://help.aliyun.com/zh/model-studio/getting-started/first-api-call-to-qwen?) | [Novita AI API Key](https://novita.ai/settings?utm_source=github_mindcraft&utm_medium=github_readme&utm_campaign=link#key-management) | ## Install and Run 1. Make sure you have the requirements above. 2. Clone or download this repository (big green button) 3. Rename `keys.example.json` to `keys.json` and fill in your API keys (you only need one). The desired model is set in `andy.json` or other profiles. For other models refer to the table below. 4. In terminal/command prompt, run `npm install` from the installed directory 5. Start a minecraft world and open it to LAN on localhost port `55916` 6. Run `node main.js` from the installed directory If you encounter issues, check the [FAQ](https://github.com/kolbytn/mindcraft/blob/main/FAQ.md) or find support on [discord](https://discord.gg/jVxQWVTM). We are currently not very responsive to github issues. ## Customization You can configure project details in `settings.js`. [See file.](settings.js) You can configure the agent's name, model, and prompts in their profile like `andy.json`. | API | Config Variable | Example Model name | Docs | |------|------|------|------| | OpenAI | `OPENAI_API_KEY` | `gpt-4o-mini` | [docs](https://platform.openai.com/docs/models) | | Google | `GEMINI_API_KEY` | `gemini-pro` | [docs](https://ai.google.dev/gemini-api/docs/models/gemini) | | Anthropic | `ANTHROPIC_API_KEY` | `claude-3-haiku-20240307` | [docs](https://docs.anthropic.com/claude/docs/models-overview) | | Replicate | `REPLICATE_API_KEY` | `meta/meta-llama-3-70b-instruct` | [docs](https://replicate.com/collections/language-models) | | Ollama (local) | n/a | `llama3` | [docs](https://ollama.com/library) | | Groq | `GROQCLOUD_API_KEY` | `groq/mixtral-8x7b-32768` | [docs](https://console.groq.com/docs/models) | | Hugging Face | `HUGGINGFACE_API_KEY` | `huggingface/mistralai/Mistral-Nemo-Instruct-2407` | [docs](https://huggingface.co/models) | | Novita AI | `NOVITA_API_KEY` | `gryphe/mythomax-l2-13b` | [docs](https://novita.ai/model-api/product/llm-api?utm_source=github_mindcraft&utm_medium=github_readme&utm_campaign=link) | | Qwen | `QWEN_API_KEY` | `qwen-max` | [Intl.](https://www.alibabacloud.com/help/en/model-studio/developer-reference/use-qwen-by-calling-api)/[cn](https://help.aliyun.com/zh/model-studio/getting-started/models) | | xAI | `XAI_API_KEY` | `grok-beta` | [docs](https://docs.x.ai/docs) | If you use Ollama, to install the models used by default (generation and embedding), execute the following terminal command: `ollama pull llama3 && ollama pull nomic-embed-text` ## Online Servers To connect to online servers your bot will need an official Microsoft/Minecraft account. You can use your own personal one, but will need another account if you want to connect too and play with it. To connect, change these lines in `settings.js`: ```javascript "host": "111.222.333.444", "port": 55920, "auth": "microsoft", // rest is same... ``` ‼️ The bot's name in the profile.json must exactly match the Minecraft profile name! Otherwise the bot will spam talk to itself. To use different accounts, Mindcraft will connect with the account that the Minecraft launcher is currently using. You can switch accounts in the launcer, then run `node main.js`, then switch to your main account after the bot has connected. ### Docker Container If you intend to `allow_insecure_coding`, it is a good idea to run the app in a docker container to reduce risks of running unknown code. This is strongly recommended before connecting to remote servers. ```bash docker run -i -t --rm -v $(pwd):/app -w /app -p 3000-3003:3000-3003 node:latest node main.js ``` or simply ```bash docker-compose up ``` When running in docker, if you want the bot to join your local minecraft server, you have to use a special host address `host.docker.internal` to call your localhost from inside your docker container. Put this into your [settings.js](settings.js): ```javascript "host": "host.docker.internal", // instead of "localhost", to join your local minecraft from inside the docker container ``` To connect to an unsupported minecraft version, you can try to use [viaproxy](services/viaproxy/README.md) ## Bot Profiles Bot profiles are json files (such as `andy.json`) that define: 1. Bot backend LLMs to use for chat and embeddings. 2. Prompts used to influence the bot's behavior. 3. Examples help the bot perform tasks. ### Specifying Profiles via Command Line By default, the program will use the profiles specified in `settings.js`. You can specify one or more agent profiles using the `--profiles` argument: ```bash node main.js --profiles ./profiles/andy.json ./profiles/jill.json ``` ### Model Specifications LLM backends can be specified as simply as `"model": "gpt-3.5-turbo"`. However, for both the chat model and the embedding model, the bot profile can specify the below attributes: ```json "model": { "api": "openai", "url": "https://api.openai.com/v1/", "model": "gpt-3.5-turbo" }, "embedding": { "api": "openai", "url": "https://api.openai.com/v1/", "model": "text-embedding-ada-002" } ``` The model parameter accepts either a string or object. If a string, it should specify the model to be used. The api and url will be assumed. If an object, the api field must be specified. Each api has a default model and url, so those fields are optional. If the embedding field is not specified, then it will use the default embedding method for the chat model's api (Note that anthropic has no embedding model). The embedding parameter can also be a string or object. If a string, it should specify the embedding api and the default model and url will be used. If a valid embedding is not specified and cannot be assumed, then word overlap will be used to retrieve examples instead. Thus, all the below specifications are equivalent to the above example: ```json "model": "gpt-3.5-turbo" ``` ```json "model": { "api": "openai" } ``` ```json "model": "gpt-3.5-turbo", "embedding": "openai" ``` ## Patches Some of the node modules that we depend on have bugs in them. To add a patch, change your local node module file and run `npx patch-package [package-name]` ## Citation: ``` @misc{mindcraft2023, Author = {Kolby Nottingham and Max Robinson}, Title = {MINDcraft: LLM Agents for cooperation, competition, and creativity in Minecraft}, Year = {2023}, url={https://github.com/kolbytn/mindcraft} } ``` ", Assign "at most 3 tags" to the expected json: {"id":"9163","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"