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94 lines (86 loc) · 3.18 KB
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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "skillopt"
version = "0.2.0"
description = "SkillOpt: Agentic Skill Optimization via Reflective Training Loops"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
{name = "SkillOpt Team"},
]
keywords = ["agent", "prompt-optimization", "skill-learning", "LLM", "agentic"]
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>=1.30.0",
"pyyaml>=6.0",
"numpy>=1.24.0",
"openpyxl>=3.1.0",
"azure-identity>=1.15.0",
"azure-core>=1.30.0",
"httpx>=0.27.0",
]
[project.optional-dependencies]
# Benchmark-specific dependencies
alfworld = ["alfworld>=0.4.0", "gymnasium>=0.29.0"]
# Claude model backend
claude = ["claude-agent-sdk>=0.1.0", "json_repair>=0.61.0"]
# Qwen local model backend (via vLLM)
qwen = ["vllm>=0.4.0", "json_repair>=0.61.0"]
# SearchQA data materialization
searchqa = ["datasets>=2.18.0"]
# OfficeQA `search_mode: parallel` web search over Parallel's hosted Search MCP
parallel = ["mcp>=1.27.0,<2"]
# Documentation site
docs = ["mkdocs-material>=9.5.0", "mkdocstrings[python]>=0.24.0"]
# WebUI dashboard
# Broad gradio support is tied to a single huggingface_hub bound: gradio 4/5
# need huggingface-hub<1 (gradio 4.44 imports HfFolder), but gradio 6 needs
# huggingface-hub>=1.16. A single bound cannot satisfy both, so narrow the range
# to the two majors this project actually validates (5 exercises the Blocks
# theme path, 6 the launch() theme path); the CI matrix tests both. The floor
# is 5.50.0: earlier gradio 5.x (5.0-5.49) still import HfFolder or don't apply
# the Blocks theme the same way, so they are not valid supported versions.
webui = ["gradio>=5.50.0,<7"]
# Development tools
dev = ["ruff>=0.4.0", "pytest>=8.0.0"]
# All optional dependencies (except docs/dev/webui)
all = [
"alfworld>=0.4.0",
"gymnasium>=0.29.0",
"claude-agent-sdk>=0.1.0",
"json_repair>=0.61.0",
]
[project.scripts]
skillopt-train = "scripts.train:main"
skillopt-eval = "scripts.eval_only:main"
skillopt-sleep = "skillopt_sleep.__main__:main"
[project.urls]
Homepage = "https://github.com/microsoft/SkillOpt"
Documentation = "https://microsoft.github.io/SkillOpt"
Repository = "https://github.com/microsoft/SkillOpt"
Issues = "https://github.com/microsoft/SkillOpt/issues"
[tool.setuptools.packages.find]
# skillopt* = the research package
# skillopt_sleep = the open-source Sleep tool (decoupled, zero research dep)
# skillopt_webui = the Gradio dashboard (installed via the `webui` extra)
include = ["skillopt", "skillopt.*", "skillopt_sleep", "skillopt_sleep.*", "skillopt_webui", "skillopt_webui.*", "scripts*"]
[tool.setuptools.package-data]
"*" = ["*.md"]
[tool.ruff]
line-length = 120
target-version = "py310"
[tool.ruff.lint]
select = ["E", "F", "I", "W"]
ignore = ["E501"]