This project simulates a papal conclave using LLMs to simulate cardinal behavior. Each cardinal is simulated by an LLM that takes into account:

• The cardinal's biographical information
• Their voting history
• Results from previous rounds
• Political leanings (liberal vs conservative)

1. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

3. Create a .env file with your OpenAI API key:

OPENAI_API_KEY=your_api_key_here

• cardinal.py: Defines the Cardinal class and voting logic
• conclave.py: Main simulation orchestrator
• data/: Directory containing cardinal bios and voting history
• utils.py: Utility functions for data handling