Sotopia is an open-ended social learning environment designed to evaluate and foster social intelligence in language agents. It provides a platform for agents to interact, enabling researchers and developers to study and enhance AI's ability to navigate complex social dynamics. The environment's extensibility and scalability support diverse scenarios and large-scale agent interactions.

How It Works

Sotopia employs a flexible, modular architecture for creating and executing diverse social interaction scenarios for language agents. Its "open-ended" design allows users to readily define new environments, agent behaviors, and interaction protocols without core framework modification. This approach facilitates comprehensive social intelligence evaluation by enabling exploration of emergent behaviors and complex social dynamics, with built-in scalability for multi-agent simulations.

Quick Start & Requirements

• Primary Install / Run Command: pip install sotopia. uv package manager recommended (uv sync --all-extras, uv run sotopia install).
• Non-default Prerequisites: OpenAI API key required (OPENAI_API_KEY env var). Docker strongly recommended for Redis server setup due to potential installation errors. Datasets must be installed to run the server.
• Links: Project Page (https://www.sotopia.world/projects/sotopia), Paper PDF (https://arxiv.org/abs/2310.11667), Dataset (https://huggingface.co/datasets/cmu-lti/sotopia), Demo (https://demo.sotopia.world), Colab Notebook (https://colab.research.google.com/drive/14hJOfzpA37PRUzdlFgiqVzUGIhhngqnz?usp=sharing).

Highlighted Details

• Presented as a spotlight at ICLR 2024.
• Focuses on evaluating and facilitating social intelligence in language agents.
• Open-ended design allows easy extension with new environments and agent types.
• Scalable architecture supports numerous agents and complex interactions.

Maintenance & Community

• Academic backing evident from ICLR 2024 spotlight.
• Key resources (project page, paper, dataset, demo) are provided.
• No explicit community channels (e.g., Discord, Slack) or roadmap mentioned in the README.

Licensing & Compatibility

• The specific open-source license is not stated in the README.
• Information on commercial use or closed-source linking compatibility is absent.

Limitations & Caveats

• Operation requires a valid OpenAI API key.
• Docker is highly recommended for Redis setup to mitigate installation issues.
• Server functionality is contingent on installing necessary datasets.