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0aaf30a8da
* Start Gemini integration: works ok with Text now * Gemini notebook lint * try catch "import" for Gemini * Debug: id issue for chat completion in Gemini * Add RAG example * Update docs for RAG * Fix missing pydash * Remove temp folder * Fix test error in runs/7206014032/job/19630042864 * Fix tqdm warning * Fix notebook output * Gemini's vision model is supported now * Install instructions for the Gemini branch * Catch and retry when see Interval Server Error 500 * Allow gemini to take more flexible messages i.e., it can take messages where "user" is not the last role. * Use int time for Gemini client * Handle other exceptions in gemini call * rename to "create" function for gemini * GeminiClient compatible with ModelClient now * Lint * Update instructions in Gemini notebook * Lint * Remove empty blocks from Gemini notebook * Add gemini into example page * self.create instead of call * Add py and Py into python execution * Remove error code from merging * Remove pydash dependency for gemini * Add cloud-gemini doc * Remove temp file * cache import update * Add test case for summary with mm input * Lint: warnings instead of print * Add test cases for gemini * Gemini test config * Disable default model for gemini * Typo fix in gemini workflow * Correct grammar in example notebook * Raise if "model" is not provided in create(...) * Move TODOs into a roadmap * Update .github/workflows/contrib-tests.yml Co-authored-by: Davor Runje <davor@airt.ai> * Gemini test config update * Update setup.py Co-authored-by: Davor Runje <davor@airt.ai> * Update test/oai/test_gemini.py Co-authored-by: Davor Runje <davor@airt.ai> * Update test/oai/test_gemini.py Co-authored-by: Davor Runje <davor@airt.ai> * Remove python 3.8 from gemini No google's generativeai for Windows with Python 3.8 * Update import error handling for gemini * Count tokens and cost for gemini --------- Co-authored-by: Li Jiang <bnujli@gmail.com> Co-authored-by: Davor Runje <davor@airt.ai>
82 lines
2.7 KiB
Python
82 lines
2.7 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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# numpy is installed by flaml, but we want to pin the version to below 2.x (see https://github.com/microsoft/autogen/issues/1960)
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"numpy>=1.17.0,<2",
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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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jupyter_executor = [
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"jupyter-kernel-gateway",
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"websocket-client",
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"requests",
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"jupyter-client>=8.6.0",
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"ipykernel>=6.29.0",
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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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"pandas",
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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", "beautifulsoup4", "markdownify"],
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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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"gemini": ["google-generativeai>=0.5,<1", "pillow", "pydantic"],
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"websurfer": ["beautifulsoup4", "markdownify", "pdfminer.six", "pathvalidate"],
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"redis": ["redis"],
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"cosmosdb": ["azure-cosmos>=4.2.0"],
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"websockets": ["websockets>=12.0,<13"],
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"jupyter-executor": jupyter_executor,
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"types": ["mypy==1.9.0", "pytest>=6.1.1,<8"] + jupyter_executor,
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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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