autogen/setup.py
olgavrou a911d1c2ec
set use_docker to default to True (#1147)
* set use_docker to default to true

* black formatting

* centralize checking and add env variable option

* set docker env flag for contrib tests

* set docker env flag for contrib tests

* better error message and cleanup

* disable explicit docker tests

* docker is installed so can't check for that in test

* pr comments and fix test

* rename and fix function descriptions

* documentation

* update notebooks so that they can be run with change in default

* add unit tests for new code

* cache and restore env var

* skip on windows because docker is running in the CI but there are problems connecting the volume

* update documentation

* move header

* update contrib tests
2024-01-18 17:03:49 +00:00

63 lines
1.8 KiB
Python

import os
import setuptools
here = os.path.abspath(os.path.dirname(__file__))
with open("README.md", "r", encoding="UTF-8") as fh:
long_description = fh.read()
# Get the code version
version = {}
with open(os.path.join(here, "autogen/version.py")) as fp:
exec(fp.read(), version)
__version__ = version["__version__"]
install_requires = [
"openai>=1.3",
"diskcache",
"termcolor",
"flaml",
"python-dotenv",
"tiktoken",
"pydantic>=1.10,<3", # could be both V1 and V2
"docker",
]
setuptools.setup(
name="pyautogen",
version=__version__,
author="AutoGen",
author_email="auto-gen@outlook.com",
description="Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/microsoft/autogen",
packages=setuptools.find_packages(include=["autogen*"], exclude=["test"]),
install_requires=install_requires,
extras_require={
"test": [
"coverage>=5.3",
"ipykernel",
"nbconvert",
"nbformat",
"pre-commit",
"pytest-asyncio",
"pytest>=6.1.1",
],
"blendsearch": ["flaml[blendsearch]"],
"mathchat": ["sympy", "pydantic==1.10.9", "wolframalpha"],
"retrievechat": ["chromadb", "sentence_transformers", "pypdf", "ipython"],
"autobuild": ["chromadb", "sentence-transformers", "huggingface-hub"],
"teachable": ["chromadb"],
"lmm": ["replicate", "pillow"],
"graphs": ["networkx~=3.2.1", "matplotlib~=3.8.1"],
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
python_requires=">=3.8,<3.13",
)