pyproject.toml

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "explainx"
version = "3.0.0"
description = "LLM-native model explainability: structured, agent-callable explanations, bias detection and counterfactuals for any scikit-learn-compatible model."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [{ name = "explainX" }]
keywords = ["explainability", "interpretability", "xai", "shap", "fairness", "bias", "mcp", "llm", "counterfactual"]
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "numpy>=1.23",
    "pandas>=1.5",
    "scikit-learn>=1.1",
    "joblib>=1.2",
]

[project.optional-dependencies]
shap = ["shap>=0.44"]
mcp = ["mcp>=1.0.0"]
drift = ["scipy>=1.7"]   # enables the Kolmogorov-Smirnov drift test (PSI works without it)
llm = ["anthropic>=0.40"]   # LLM narration of reports via Claude
dashboard = ["streamlit>=1.30"]   # interactive web dashboard (explainx-dashboard)
all = ["shap>=0.44", "mcp>=1.0.0", "scipy>=1.7", "anthropic>=0.40", "streamlit>=1.30"]
dev = ["pytest>=7.0", "shap>=0.44", "mcp>=1.0.0", "scipy>=1.7", "anthropic>=0.40", "streamlit>=1.30"]

[project.scripts]
explainx-mcp = "explainx.mcp_server:main"
explainx-dashboard = "explainx.dashboard:launch"
explainx = "explainx.cli:main"

[tool.setuptools.packages.find]
include = ["explainx*"]

[tool.pytest.ini_options]
testpaths = ["explainx/tests"]