kubeflow-llm-trainer-prototype/pyproject.toml at main · krishdef7/kubeflow-llm-trainer-prototype · GitHub

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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "kubeflow-dynamic-llm-trainer"
version = "0.1.0"
description = "GSoC 2026 Prototype: Dynamic LLM Trainer Framework for Kubeflow"
readme = "README.md"
license = {text = "Apache-2.0"}
requires-python = ">=3.10"
authors = [
    {name = "Krish", email = "krishdef7@gmail.com"},
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = []

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "pytest-cov>=4.0",
]

[project.entry-points."kubeflow.llm_backends"]
torchtune = "kubeflow_llm_trainer.backends.torchtune:TorchTuneBackend"
trl = "kubeflow_llm_trainer.backends.trl:TRLBackend"
unsloth = "kubeflow_llm_trainer.backends.unsloth:UnslothBackend"

[tool.setuptools.packages.find]
where = ["src"]

[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-v --tb=short"