mirror of
https://github.com/microsoft/autogen.git
synced 2025-11-04 03:39:52 +00:00
fa6e2a52c0
* Add custom embedding function * Add support to custom vector db * Improve docstring * Improve docstring * Improve docstring * Add support to customized is_termination_msg fucntion * Add a test for customize vector db with lancedb * Fix tests * Add test for embedding_function * Update docstring
68 lines
1.8 KiB
Python
68 lines
1.8 KiB
Python
import setuptools
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import os
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here = os.path.abspath(os.path.dirname(__file__))
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with open("README.md", "r", encoding="UTF-8") as fh:
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long_description = fh.read()
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# Get the code version
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version = {}
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with open(os.path.join(here, "autogen/version.py")) as fp:
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exec(fp.read(), version)
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__version__ = version["__version__"]
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install_requires = [
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"openai",
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"diskcache",
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"termcolor",
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"flaml",
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"python-dotenv",
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]
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setuptools.setup(
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name="pyautogen",
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version=__version__,
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author="AutoGen",
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author_email="auto-gen@outlook.com",
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description="Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/microsoft/autogen",
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packages=setuptools.find_packages(include=["autogen*"], exclude=["test"]),
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# package_data={
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# "autogen.default": ["*/*.json"],
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# },
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# include_package_data=True,
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install_requires=install_requires,
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extras_require={
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"test": [
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"chromadb",
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"lancedb",
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"coverage>=5.3",
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"datasets",
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"ipykernel",
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"nbconvert",
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"nbformat",
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"pre-commit",
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"pydantic==1.10.9",
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"pytest-asyncio",
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"pytest>=6.1.1",
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"sympy",
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"tiktoken",
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"wolframalpha",
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],
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"blendsearch": ["flaml[blendsearch]"],
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"mathchat": ["sympy", "pydantic==1.10.9", "wolframalpha"],
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"retrievechat": ["chromadb", "tiktoken", "sentence_transformers", "pypdf"],
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},
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License",
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"Operating System :: OS Independent",
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],
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python_requires=">=3.8",
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)
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