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63 lines (61 loc) · 1.86 KB
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from setuptools import setup, find_packages
# Read the README file
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="rewardguard",
version="1.0.3",
author="RewardGuard Team",
author_email="giovan@rewardguard.dev",
description="AI alignment and reward balance analysis for reinforcement learning systems",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://rewardguard.dev",
project_urls={
"Documentation": "https://docs.rewardguard.dev",
"Website": "https://rewardguard.dev",
},
packages=find_packages(),
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Operating System :: OS Independent",
],
python_requires=">=3.8",
install_requires=[
# No external dependencies - uses only Python standard library
],
extras_require={
"dev": [
"pytest>=7.0",
"pytest-cov>=4.0",
"black>=23.0",
"flake8>=6.0",
"mypy>=1.0",
],
},
keywords=[
"reinforcement-learning",
"AI",
"machine-learning",
"reward-hacking",
"AI-alignment",
"AI-safety",
"RL",
"training-analysis",
"reward-balance",
],
entry_points={
"console_scripts": [
"rewardguard=rewardguard.cli:main",
],
},
)