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90 lines (84 loc) · 2.8 KB
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[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "weavebench"
version = "0.1.0"
description = "WeaveBench: long-horizon hybrid-interface benchmark (GUI+CLI+code) for computer-use agents"
readme = "README.md"
license = { file = "LICENSE" }
authors = [{ name = "Wanli Li" }]
keywords = ["benchmark", "computer-use-agent", "gui", "cli", "openrouter"]
classifiers = [
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT 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",
]
requires-python = ">=3.10"
dependencies = [
# LLM client — only one. All 4 harnesses route through OpenRouter via the
# OpenAI SDK; Claude / Gemini / GPT etc. are model ids on OpenRouter.
"openai>=1.40",
# Dataset / asset download
"huggingface_hub>=0.24",
"tqdm>=4.66",
"requests>=2.31",
# Bundled desktop_env (OSWorld-derived KVM/Docker provider + Flask shim)
"gymnasium>=0.29",
"docker>=7.0",
"psutil>=5.9",
"filelock>=3.12",
"lxml>=4.9",
"flask>=3.0",
]
[project.optional-dependencies]
osworld-evaluators = [
# Only needed if you also pip-install upstream OSWorld and use its evaluator
# pipeline. WeaveBench's own trajectory-aware judge does not need any of these.
"selenium>=4.20",
"openpyxl>=3.1",
"python-docx>=1.0",
"borb>=2.1",
"odfpy>=1.4",
"fastdtw>=0.3",
"mutagen>=1.47",
"beautifulsoup4>=4.12",
"pillow>=10.0",
]
dev = [
"pytest>=8.0",
"ruff>=0.4",
]
[project.scripts]
weavebench-run = "weavebench.eval.run_weavebench:main"
weavebench-quickstart = "weavebench.scripts.quickstart:main"
weavebench-download-assets = "weavebench.scripts.download_assets:main"
weavebench-download-dataset = "weavebench.scripts.download_dataset:main"
weavebench-download-vm = "weavebench.scripts.download_vm:main"
weavebench-download-judge = "weavebench.scripts.download_judge:main"
weavebench-demo = "weavebench.scripts.demo:main"
[project.urls]
Homepage = "https://weavebench.github.io"
Repository = "https://github.com/weavebench/WeaveBench"
Dataset = "https://huggingface.co/datasets/wanlilll/WeaveBench"
"Bug Tracker" = "https://github.com/weavebench/WeaveBench/issues"
[tool.setuptools.packages.find]
where = ["."]
include = ["weavebench*"]
exclude = ["tests*", "examples*", "docs*", "scripts*"]
[tool.setuptools.package-data]
"weavebench.assets" = [
"computer_tool_plugin/*",
"openclaw_patches/*",
"codex_patches/*",
"claudecode_patches/*",
"hermes_patches/*",
"weavebench_computer_mcp/*",
]
"weavebench.eval.agent_judge" = ["*.txt"]
"weavebench.desktop_env" = ["*.md"]
"weavebench.desktop_env.providers.docker_lite" = ["*.py", "Dockerfile*"]