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609ba7c649
* code executor * test * revert to main conversable agent * prepare for pr * kernel * run open ai tests only when it's out of draft status * update workflow file * revert workflow changes * ipython executor * check kernel installed; fix tests * fix tests * fix tests * update system prompt * Update notebook, more tests * notebook * raise instead of return None * allow user provided code executor. * fixing types * wip * refactoring * polishing * fixed failing tests * resolved merge conflict * fixing failing test * wip * local command line executor and embedded ipython executor * revert notebook * fix format * fix merged error * fix lmm test * fix lmm test * move warning * name and description should be part of the agent protocol, reset is not as it is only used for ConversableAgent; removing accidentally commited file * version for dependency * Update autogen/agentchat/conversable_agent.py Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com> * ordering of protocol * description * fix tests * make ipython executor dependency optional * update document optional dependencies * Remove exclude from Agent protocol * Make ConversableAgent consistent with Agent * fix tests * add doc string * add doc string * fix notebook * fix interface * merge and update agents * disable config usage in reply function * description field setter * customize system message update * update doc --------- Co-authored-by: Davor Runje <davor@airt.ai> Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com> Co-authored-by: Aaron <aaronlaptop12@hotmail.com> Co-authored-by: Chi Wang <wang.chi@microsoft.com>
67 lines
2.1 KiB
Python
67 lines
2.1 KiB
Python
import os
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import setuptools
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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>=1.3",
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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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"tiktoken",
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# Disallowing 2.6.0 can be removed when this is fixed https://github.com/pydantic/pydantic/issues/8705
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"pydantic>=1.10,<3,!=2.6.0", # could be both V1 and V2
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"docker",
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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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install_requires=install_requires,
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extras_require={
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"test": [
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"coverage>=5.3",
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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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"pytest-asyncio",
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"pytest>=6.1.1,<8",
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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", "sentence_transformers", "pypdf", "ipython"],
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"autobuild": ["chromadb", "sentence-transformers", "huggingface-hub"],
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"teachable": ["chromadb"],
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"lmm": ["replicate", "pillow"],
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"graph": ["networkx", "matplotlib"],
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"websurfer": ["beautifulsoup4", "markdownify", "pdfminer.six", "pathvalidate"],
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"redis": ["redis"],
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"ipython": ["jupyter-client>=8.6.0", "ipykernel>=6.29.0"],
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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,<3.13",
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)
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