pyproject.toml

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

[project]
name = "swebench-in"
version = "0.1.0"
description = "RL environment that trains an LLM to act as an Indian SWE — fixing broken Linux systems while managing stakeholder communication."
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
    {name = "Team SWEbench-IN"},
]
keywords = ["reinforcement-learning", "openenv", "swe", "docker", "grpo"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
]

dependencies = [
    "gradio>=4.0.0",
    "docker>=7.0.0",
    "pyyaml>=6.0",
    "requests>=2.31.0",
    "openenv-core>=0.2.0",
]

[project.scripts]
# Server entry point - enables running via: uv run --project . server
server = "swebench_in.server.app:main"

[project.optional-dependencies]
train = [
    "unsloth",
    "trl",
    "transformers",
    "accelerate",
    "wandb",
    "matplotlib",
]

[tool.setuptools]
include-package-data = true
packages = ["swebench_in", "swebench_in.server"]
package-dir = { "swebench_in" = ".", "swebench_in.server" = "server" }