SkillLens/pyproject.toml at main · microsoft/SkillLens · GitHub

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

[project]
name = "skilllens"
version = "0.1.0"
description = "SkillLens: A framework for extracting reusable skills from agent trajectories"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
    {name = "SkillLens Team"},
]
keywords = ["llm", "agent", "skill-extraction", "benchmark"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "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",
]
dependencies = [
    "openai>=1.0",
    "pydantic>=2.0",
    "pyyaml>=6.0",
    "tenacity>=8.0",
    "python-dotenv>=1.0",
]

[project.optional-dependencies]
alfworld = ["textworld", "alfworld", "numpy"]
swebench = ["litellm", "typer", "rich", "jinja2", "datasets", "platformdirs"]
spreadsheet = ["pandas", "openpyxl", "tqdm"]
bfcl = ["tree_sitter", "json5", "tiktoken", "overrides", "tqdm", "typer", "rich", "numpy", "pandas", "filelock", "tabulate", "mpmath", "sympy"]
seal0 = ["aiohttp", "beautifulsoup4", "fastapi", "uvicorn", "httpx"]
dev = ["pytest", "ruff"]
all = ["skilllens[alfworld,swebench,spreadsheet,bfcl,seal0]"]

[project.scripts]
skilllens = "skilllens.cli:main"

[tool.setuptools.packages.find]
where = ["."]
include = ["skilllens*"]