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setup.py
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setup.py
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# -*- coding: utf-8 -*-
""" Setup for installation."""
from __future__ import absolute_import, division, print_function
import re
import setuptools
# obtain version from src/agentscope/_version.py
with open("src/agentscope/_version.py", encoding="UTF-8") as f:
VERSION = re.search(
r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]',
f.read(),
re.MULTILINE,
).group(1)
NAME = "agentscope"
URL = "https://github.com/modelscope/agentscope"
# released requires
minimal_requires = [
"networkx",
"black",
"docstring_parser",
"pydantic",
"loguru==0.6.0",
"tiktoken",
"Pillow",
"requests",
"inputimeout",
"numpy",
"Flask==3.0.0",
"Flask-Cors==4.0.0",
"Flask-SocketIO==5.3.6",
"flask_sqlalchemy",
"flake8",
"psutil",
"scipy",
# Leaving openai and dashscope here as default supports
"openai>=1.3.0",
"dashscope==1.14.1",
]
extra_service_requires = [
"docker",
"pymongo",
"pymysql",
"bs4",
"beautifulsoup4",
"feedparser",
"notebook",
"nbclient",
"nbformat",
"playwright",
"markdownify",
]
extra_distribute_requires = [
"grpcio==1.60.0",
"grpcio-tools==1.60.0",
"protobuf==4.25.0",
"expiringdict",
"dill",
]
extra_dev_requires = [
# unit test
"pytest",
"pytest-cov",
"pre-commit",
# doc
"sphinx",
"sphinx-autobuild",
"sphinx_rtd_theme",
"myst-parser",
"sphinxcontrib-mermaid",
]
extra_gradio_requires = [
"gradio==4.19.1",
"modelscope_studio==0.0.5",
]
extra_rag_requires = [
"llama-index==0.10.30",
"langchain==0.3.1",
]
# API requires
extra_gemini_requires = ["google-generativeai>=0.4.0"]
extra_litellm_requires = ["litellm"]
extra_zhipuai_requires = ["zhipuai"]
extra_ollama_requires = ["ollama>=0.1.7"]
# Full requires
extra_full_requires = (
extra_distribute_requires
+ extra_service_requires
+ extra_dev_requires
+ extra_gradio_requires
+ extra_rag_requires
+ extra_gemini_requires
+ extra_litellm_requires
+ extra_zhipuai_requires
+ extra_ollama_requires
)
# For online workstation
extra_online_requires = extra_full_requires + [
"oss2",
"flask_babel",
"babel==2.15.0",
"gunicorn",
]
with open("README.md", "r", encoding="UTF-8") as fh:
long_description = fh.read()
setuptools.setup(
name=NAME,
version=VERSION,
author="SysML team of Alibaba Tongyi Lab ",
author_email="[email protected]",
description="AgentScope: A Flexible yet Robust Multi-Agent Platform.",
long_description=long_description,
long_description_content_type="text/markdown",
url=URL,
download_url=f"{URL}/archive/v{VERSION}.tar.gz",
keywords=["deep-learning", "multi agents", "agents"],
package_dir={"": "src"},
packages=setuptools.find_packages("src"),
package_data={
"agentscope.studio": ["static/**/*", "templates/**/*"],
"agentscope.prompt": ["_prompt_examples.json"],
"agentscope.service.browser": ["markpage.js"],
},
install_requires=minimal_requires,
extras_require={
# For specific LLM API
"ollama": extra_ollama_requires,
"litellm": extra_litellm_requires,
"zhipuai": extra_zhipuai_requires,
"gemini": extra_gemini_requires,
# For service functions
"service": extra_service_requires,
# For distribution mode
"distribute": extra_distribute_requires,
# With unit test requires
"dev": extra_dev_requires,
# With full requires
"full": extra_full_requires,
# With online workstation requires
"online": extra_online_requires,
},
license="Apache License 2.0",
classifiers=[
"Development Status :: 4 - Beta",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
],
python_requires=">=3.9",
entry_points={
"console_scripts": [
"as_studio=agentscope.studio:init",
"as_gradio=agentscope.web.gradio.studio:run_app",
"as_workflow=agentscope.web.workstation.workflow:main",
"as_server=agentscope.server.launcher:as_server",
],
},
)