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setup.py
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#!/usr/bin/env python
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
"""
Setup script for Agent Control Plane
Note: This file is maintained for backward compatibility.
Modern installations should use pyproject.toml directly.
"""
from setuptools import setup, find_packages
from pathlib import Path
# Read the README file
readme_file = Path(__file__).parent / "README.md"
long_description = readme_file.read_text(encoding="utf-8") if readme_file.exists() else ""
setup(
name="agent-control-plane",
version="1.2.0",
author="Microsoft Corporation",
author_email="agentgovtoolkit@microsoft.com",
description="A deterministic kernel for zero-violation governance in agentic AI systems",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/microsoft/agent-governance-toolkit",
project_urls={
"Bug Tracker": "https://github.com/microsoft/agent-governance-toolkit/issues",
"Documentation": "https://github.com/microsoft/agent-governance-toolkit/tree/main/docs",
"Source Code": "https://github.com/microsoft/agent-governance-toolkit",
"Paper": "https://arxiv.org/abs/XXXX.XXXXX",
},
package_dir={"": "src"},
packages=find_packages(where="src"),
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Security",
"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",
"Typing :: Typed",
],
python_requires=">=3.8",
install_requires=[
# No external dependencies - uses only Python standard library
],
extras_require={
"dev": [
"pytest>=7.0.0",
"pytest-cov>=4.0.0",
"black>=23.0.0",
"flake8>=6.0.0",
"mypy>=1.0.0",
],
"hf": [
"huggingface_hub>=0.20.0",
"datasets>=2.14.0",
],
},
keywords="ai agents governance control-plane safety policy agentic-ai llm guardrails deterministic",
zip_safe=False,
)