pyproject.toml

[project]
name = "quantforge"
version = "1.0.0"
description = "AI-Driven Compression Engine for LLMs & Vector Search"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT"}
authors = [
    {name = "QuantForge Contributors"},
]
keywords = [
    "quantization", "vector-compression", "llm", "kv-cache",
    "vector-search", "faiss", "triton", "transformers",
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Programming Language :: Python :: 3",
]
dependencies = [
    "numpy>=1.24",
    "scipy>=1.10",
]

[project.optional-dependencies]
api = ["fastapi>=0.100", "uvicorn>=0.20", "pydantic>=2.0"]
llm = ["torch>=2.0", "transformers>=4.30"]
gpu = ["triton>=2.0"]
opt = ["optuna>=3.0"]
bench = ["datasets>=2.0", "sentence-transformers>=2.0", "matplotlib>=3.7"]
dev = ["pytest>=7.0", "matplotlib>=3.7", "quantforge[bench,opt]"]
all = ["quantforge[api,llm,gpu,dev,opt,bench]"]

[project.scripts]
quantforge = "quantforge.cli:main"

[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.backends._legacy:_Backend"

[tool.setuptools.packages.find]
include = ["quantforge*"]
exclude = ["tests*", "benchmarks*", "turboquant*"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]