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pyproject.toml
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89 lines (83 loc) · 2.03 KB
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[project]
name = "agentscope"
dynamic = ["version"]
description = "AgentScope: A Flexible yet Robust Multi-Agent Platform."
readme = "README.md"
authors = [
{ name = "SysML team of Alibaba Tongyi Lab", email = "gaodawei.gdw@alibaba-inc.com" }
]
license = "Apache-2.0"
keywords = ["deep-learning", "multi agents", "agents"]
classifiers = [
"Development Status :: 4 - Beta",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Operating System :: OS Independent",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.10"
dependencies = [
"aioitertools",
"anthropic",
"dashscope",
"docstring_parser",
"json5",
"json_repair",
"mcp>=1.13",
"numpy",
"openai",
"python-datauri",
"opentelemetry-api",
"opentelemetry-sdk",
"opentelemetry-exporter-otlp",
"python-socketio",
"shortuuid",
"tiktoken",
"sounddevice",
]
[project.optional-dependencies]
full = [
# Model
"ollama>=0.5.4",
"google-genai",
"Pillow",
"transformers",
"jinja2",
# Evaluator
"ray",
# Long-term memory
"mem0ai",
"packaging",
# RAG
"pypdf",
"python-docx",
"nltk",
"qdrant-client",
]
dev = [
# Include full dependencies from local package
"agentscope[full]",
# Development tools
"pre-commit",
"pytest",
"sphinx-gallery",
"furo",
"myst_parser",
"matplotlib",
"pymilvus[milvus_lite]",
# Long-term memory
"reme-ai>=0.1.10.7; python_full_version >= '3.12'",
]
[project.urls]
Homepage = "https://github.com/agentscope-ai/agentscope"
Documentation = "https://doc.agentscope.io/"
Repository = "https://github.com/agentscope-ai/agentscope"
[tool.setuptools]
packages = { find = { where = ["src"] } }
[build-system]
requires = ["setuptools>=45", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools.dynamic]
version = {attr = "agentscope._version.__version__"}