RL environments for LLMs implemented with the Gymnasium API.
Project description
SkyRL-Gym
A library of RL environments for LLMs implemented with the Gymnasium API.
Key Features
- Simple
Environmentinterface following the Gymnasium API. - Library of ready-built environments for math, code, search, and text-to-SQL.
- A reusable
toolinterface. Developers can implement a tool once, and use it across any environment. - Supports multi-tool environments
Installation
You can install the latest release from PyPI:
pip install skyrl-gym
or install from source:
git clone https://github.com/NovaSky-AI/SkyRL.git
cd SkyRL/skyrl-gym
pip install -e .
Documentation
To build your first environment, see our Walkthrough Docs.
All docs are available at https://docs.skyrl.ai/docs/.
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