#!/usr/bin/env python3 """ Token Optimizer Setup Package configuration for pip installation. """ from setuptools import setup, find_packages from pathlib import Path import re # Read version from src/__init__.py (single source of truth) init_path = Path(__file__).parent / "src" / "__init__.py" version = re.search(r'__version__\s*=\s*"([^"]+)"', init_path.read_text()).group(1) # Read README for long description readme_path = Path(__file__).parent / "README.md" long_description = readme_path.read_text(encoding="utf-8") if readme_path.exists() else "" setup( name="token-optimizer", version=version, author="Smart People Connected", author_email="smartpeopleconnected@gmail.com", description="Reduce OpenClaw AI costs by 97% - From $1,500+/month to under $50/month", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/smartpeopleconnected/openclaw-token-optimizer", project_urls={ "Homepage": "https://github.com/smartpeopleconnected/openclaw-token-optimizer", "Bug Tracker": "https://github.com/smartpeopleconnected/openclaw-token-optimizer/issues", "Ko-fi": "https://ko-fi.com/smartpeopleconnected", }, classifiers=[ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Office/Business :: Financial", ], packages=find_packages(), package_data={ "": ["templates/*", "templates/**/*"], }, include_package_data=True, python_requires=">=3.8", install_requires=[], extras_require={ "dev": [ "pytest>=7.0", "pytest-cov>=4.0", "black>=23.0", "mypy>=1.0", ], }, entry_points={ "console_scripts": [ "token-optimizer=cli:main", ], }, keywords=[ "openclaw", "token-optimization", "cost-reduction", "ai-efficiency", "claude", "anthropic", "llm", ], )