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pyproject.toml
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91 lines (83 loc) · 2.01 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "beam-mas"
version = "0.1.0"
description = "BEAM: A Bayesian Energy-Aware Framework for Multi-Agent Communication Optimization under Incomplete Information"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.9"
authors = [
{name = "BEAM Team"}
]
keywords = [
"multi-agent",
"llm",
"optimization",
"token-efficiency",
"langchain",
"langgraph"
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"torch>=2.0.0",
"numpy>=1.21.0",
"shortuuid>=1.0.0",
"openai>=1.0.0",
"tenacity>=8.0.0",
"async-timeout>=4.0.0",
"pyyaml>=6.0",
]
[project.optional-dependencies]
langchain = [
"langchain>=0.1.0",
"langchain-core>=0.1.0",
"langchain-openai>=0.0.5",
]
langgraph = [
"langgraph>=0.0.20",
]
bayesian = [
"scikit-learn>=1.0.0",
"pyro-ppl>=1.8.0",
]
dev = [
"pytest>=7.0.0",
"pytest-asyncio>=0.21.0",
"black>=23.0.0",
"isort>=5.12.0",
"mypy>=1.0.0",
]
all = [
"beam-mas[langchain,langgraph,bayesian,dev]",
]
[project.urls]
Homepage = "https://github.com/beam-mas/beam"
Documentation = "https://github.com/beam-mas/beam#readme"
Repository = "https://github.com/beam-mas/beam"
[tool.setuptools.packages.find]
where = ["."]
include = ["beam*"]
[tool.black]
line-length = 100
target-version = ["py39", "py310", "py311"]
[tool.isort]
profile = "black"
line_length = 100
[tool.mypy]
python_version = "3.9"
warn_return_any = true
warn_unused_configs = true
ignore_missing_imports = true