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pyproject.toml
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102 lines (92 loc) · 2.73 KB
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[project]
name = "openadapt-ml"
version = "0.15.1"
description = "Model-agnostic, domain-agnostic ML engine for GUI automation agents"
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
authors = [
{name = "MLDSAI Inc.", email = "richard@mldsai.com"}
]
keywords = ["gui", "automation", "ml", "vision-language-models", "vlm", "fine-tuning", "agents"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"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",
"Topic :: Software Development :: Libraries :: Python Modules",
]
dependencies = [
"anthropic>=0.75.0",
"click>=8.1.0", # CLI framework
"google-generativeai>=0.8.5",
"matplotlib>=3.10.7",
"modal>=1.3.4",
"openadapt-capture>=0.3.0",
"pillow>=12.0.0",
"pyautogui>=0.9.54",
"pydantic-settings>=2.0.0",
"pytest>=9.0.2",
"pyyaml>=6.0.3",
]
[project.optional-dependencies]
api = [
"anthropic>=0.40.0",
"openai>=1.0.0",
"pydantic-settings>=2.0.0",
]
azure = [
# Azure ML for distributed training
"azure-ai-ml>=1.0.0",
"azure-identity>=1.0.0",
]
lambda-labs = [
"requests>=2.28.0",
]
parquet = [
"pyarrow>=14.0.0",
]
# Heavy ML dependencies for local model training and inference
training = [
"bitsandbytes>=0.41.0", # For 4-bit quantization
"peft>=0.18.0",
"torch>=2.8.0",
"torchvision>=0.24.1",
"transformers>=4.57.3",
"trl>=0.12.0",
"datasets>=2.18.0",
]
# Note: Unsloth requires manual installation: pip install unsloth
# See https://docs.unsloth.ai/get-started/installation
dev = [
"pytest>=9.0.0",
"ruff>=0.1.0",
]
# Benchmark evaluation (depends on openadapt-evals)
benchmarks = [
"openadapt-evals>=0.1.1",
]
[project.urls]
Homepage = "https://github.com/OpenAdaptAI/openadapt-ml"
Repository = "https://github.com/OpenAdaptAI/openadapt-ml"
Documentation = "https://github.com/OpenAdaptAI/openadapt-ml/tree/main/docs"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["openadapt_ml"]
[tool.uv.sources]
openadapt-capture = { path = "../openadapt-capture", editable = true }
[tool.semantic_release]
version_toml = ["pyproject.toml:project.version"]
commit_message = "chore: release {version}"
[tool.semantic_release.branches.main]
match = "main"
[tool.semantic_release.commit_parser_options]
allowed_tags = ["build", "chore", "ci", "docs", "feat", "fix", "perf", "refactor", "style", "test"]
minor_tags = ["feat"]
patch_tags = ["fix", "perf"]