pyproject.toml

[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"

[project]
name = "methodlm"
version = "1.0.0"
description = "A verifiable causal-reasoning harness: pre-registers every test, runs real backdoor adjustment / IV / refutation, and keeps an audit ledger, so any model has to prove its causal claims instead of asserting them."
readme = "README.md"
license = { text = "MIT" }
authors = [{ name = "Gavin Branaa", email = "gbranaa4@gmail.com" }]
requires-python = ">=3.10"
keywords = ["causal inference", "reasoning", "llm", "backdoor adjustment", "instrumental variables", "reproducibility"]
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Environment :: Console",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3 :: Only",
    "Topic :: Scientific/Engineering",
]
dependencies = ["numpy"]

[project.optional-dependencies]
frontier = ["anthropic"]
data = ["pandas", "pyarrow", "openpyxl"]
ternary = ["torch"]
refute = ["dowhy"]
contrastive = ["transformers"]
dev = ["pytest"]

[project.urls]
Homepage = "https://github.com/tritsystem/methodlm"
Repository = "https://github.com/tritsystem/methodlm"
Issues = "https://github.com/tritsystem/methodlm/issues"
Changelog = "https://github.com/tritsystem/methodlm/blob/main/CHANGELOG.md"

[project.scripts]
methodlm = "methodlm:main"
methodlm-gui = "methodlm_gui:main"

[tool.setuptools]
py-modules = [
    "methodlm", "methodlm_io", "methodlm_models", "methodlm_gui",
    "benchmark_causal", "benchmark_models", "benchmark_real_examples", "rescore",
]