tiny-computer-agent / pyproject.toml
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2.0: skills, approval gates, a resumable task runner, structural verification
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[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[project]
name = "tiny-computer-agent"
version = "2.0.0"
description = "An agentic harness that drives a real computer with a tiny, fully local model - no cloud API. It learns from verified runs."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [{ name = "hkblockchaintechnology" }]
keywords = ["computer-use", "gui-agent", "agentic-harness", "local-first", "tiny-models"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [] # the harness core imports nothing outside the standard library
[project.optional-dependencies]
ocr = ["rapidocr-onnxruntime>=1.3"] # labels from pixels, no system binary
desktop = ["mss>=9.0", "pyautogui>=0.9", "pillow>=10"] # capture + real input
vision = ["transformers>=4.48", "torch>=2.2", "pillow>=10"] # tiny model brains
dev = ["pytest>=8"]
[project.scripts]
tiny-computer-agent = "tiny_computer_agent.__main__:main"
[project.urls]
Homepage = "https://huggingface.co/hkblockchaintechnology/tiny-computer-agent"
[tool.setuptools]
packages = ["tiny_computer_agent"]
[tool.pytest.ini_options]
testpaths = ["tests"]