Werewolf Party Game with AI Bots

I created this repo for the Backdrop Build V3 hackathon on February 26, 2024. It was based on my other project mafia-gpt. Mafia used OpenAI Assistants API which disappointed me a lot in process of development (slow, native client freezes randomly, outages on the OpenAI side), so I replaced it with a pure completion API. This gave me flexibility to switch between models (GPT-4, Claude3 Opus, Mistral Large, Grok 1.5 for now) but forced to store the chat history in DynamoDB. I like this approach so I deprecated mafia-gpt in favor of this repo.

All projects registry: Builds

The event project page: ai-werewolf

Gameplay

What is nice about this game is complete freedom in the themes and roleplay. You can create any setting you want. A movie, a book, any historical period, or even a completely new world. The game is very flexible and can be adapted to any setting.

Here is an example of the "Terminator" theme:

Or "Lord of the Rings":

I really like these thematic dialogs and how creative the bots are.

UI is chunky and ugly yet but I'm working on it. It's a very early stage of the project. It is only possible to create a new game, to chat with bot players and to initiate a first round of voting. I have more things in the API but UI is not ready yet.

Setup

To runt the project locally, you need:

• Install Docker and Docker Compose, run local DynamoDb with docker-compose up
• Frontend: install node.js and npm, install dependencies with npm install, and run the app by npm run web
• Backend: install Python 3.11+ and Pypenv, install dependencies with pipenv install, and run the FastAPI server

DynamoDB

I prefer to run it with Docker Compose. There is a config in the root directory, just run it. You need to have docker and docker-compose installed.

docker-compose up

Backend

Install Python 3.11+ and Pipenv.

I use FastAPI Python web server and React Native frontend application. Here are my Intellij Idea run configurations:

Note: Before running Python code, rename the .env.template file into .env and fill in the values. All environmental variables from it will be loaded by functions and used to talk to the external APIs (DynamoDB, OpenAI).

Run Python functions [deprecated as I already have UI]

I don't have any better runner than Python junit tests for now. In future, I'll use a web server with UI in React Native for the local development. I'll deploy functions to Lambdas and host UI somewhere separately. Each function has a separate test. It does not make sense to run all of them, only for the function you want to run. To run tests, install Python dependencies using Pipenv (more details about it is below), then run a test you need like this:

python -m unittest test_lambda_functions.TestGameFunctions.test_init_game

Pipenv setup and dependency installation

I use pipenv to manage dependencies. Install it, create a virtual environment, activate it and install dependencies.

1. Install pipenv using official docs. For example, on Mac:

   pip install pipenv --user

2. Add pipenv to PATH if it's not there. For example, I had to add to the ~/.zshrc file the following line:

   export PATH="/Users/hiper2d/Library/Python/3.11/bin:$PATH"

3. Install packages and create a virtual environment for the project:

   cd <project dir> # navigate to the project dir
   pipenv install

   This should create a virtual environment and install all dependencies from Pipfile.lock file.

   If for any reason you need to create a virtual environment manually, use the following command:

   pip install virtualenv # install virtualenv if you don't have it
   virtualenv --version # check if it's installed
   cd <virtualenv dir> # for example, my virtual envs as here: /Users/hiper2d/.local/share/virtualenvs
   virtualenv <virtualenv name> # I usually use a project name

4. To swtich to the virtual environment, use the following command:

   cd <project dir>
   pipenv shell

   If this fails, then do the following:

   cd <virtualenv dir>/bin
   source activate

Frontend

Install node.js and npm. Navigate to the werewolf-client and run:

npm install
npm run web

This will start the frontend on the localhost:8081 address.