agentune/pyproject.toml at main · ccomkhj/agentune · GitHub

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "agentune"
version = "0.1.0"
description = "Agent-driven hyperparameter optimization with Optuna"
readme = "README.md"
license = "MIT"
requires-python = ">=3.11"
authors = [
    { name = "Huijo Kim" },
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

dependencies = [
    "optuna>=3.6,<4",
    "psycopg[binary]>=3.1,<4",
    "xgboost>=2.0,<3",
    "scikit-learn>=1.4,<2",
    "click>=8.1,<9",
    "mcp>=1.0,<2",
    "sqlalchemy>=2.0.48",
    "psycopg2-binary>=2.9.11",
    "pandas>=2.0",
    "lightgbm>=4.6.0",
    "catboost>=1.2.10",
    "mlforecast>=1.0.0",
    "mlflow>=3.10,<4",
    "python-dotenv>=1.0,<2",
]

[project.urls]
Repository = "https://github.com/huijokim/agentune"

[project.scripts]
agentune = "agentune.cli:cli"

[tool.hatch.build.targets.wheel]
packages = ["src/agentune"]

[dependency-groups]
dev = [
    "pytest>=9.0.2",
    "pytest-cov>=7.1.0",
]

[tool.hatch.build]
artifacts = ["src/agentune/skills/*.md"]