jimi
a842f1861f
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190 lines
4.2 KiB
TOML
190 lines
4.2 KiB
TOML
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[project]
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name = "agentscope"
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dynamic = ["version"]
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description = "AgentScope: A Flexible yet Robust Multi-Agent Platform."
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readme = "README.md"
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authors = [
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{ name = "SysML team of Alibaba Tongyi Lab", email = "gaodawei.gdw@alibaba-inc.com" }
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]
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license = "Apache-2.0"
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keywords = ["deep-learning", "multi agents", "agents"]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Operating System :: OS Independent",
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"Intended Audience :: Developers",
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"Intended Audience :: Science/Research",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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requires-python = ">=3.10"
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dependencies = [
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"aioitertools",
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"anthropic",
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"dashscope",
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"docstring_parser",
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"json5",
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"json_repair",
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"mcp>=1.13",
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"numpy",
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"openai",
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"python-datauri",
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"opentelemetry-api>=1.39.0",
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"opentelemetry-sdk>=1.39.0",
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"opentelemetry-exporter-otlp>=1.39.0",
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"opentelemetry-semantic-conventions>=0.60b0",
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"python-socketio",
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"shortuuid",
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"tiktoken",
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"sounddevice",
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"sqlalchemy",
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"python-frontmatter",
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]
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[project.optional-dependencies]
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# ------------ A2A protocol ------------
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a2a = [
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"a2a-sdk",
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"httpx",
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# TODO: split the card resolvers from the a2a dependency
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"nacos-sdk-python>=3.0.0",
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]
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# ------------ Realtime -------------
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realtime = ["websockets>=14.0", "scipy"]
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# ------------ Model APIs ------------
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gemini = ["google-genai"]
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ollama = ["ollama>=0.5.4"]
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models = [
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"agentscope[ollama]",
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"agentscope[gemini]",
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]
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# ------------ Tokenizers ------------
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tokens = [
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"Pillow",
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"transformers",
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"jinja2",
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]
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# ------------ Memory ------------
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redis_memory = ["redis"]
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mem0ai = [
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"mem0ai<=1.0.3",
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"packaging"
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]
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reme = ["reme-ai>=0.2.0.3"]
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memory = [
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"agentscope[redis_memory]",
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"agentscope[mem0ai]",
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"agentscope[reme]",
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]
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# ------------ RAG ------------
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# readers
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text-reader = ["nltk"]
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pdf-reader = [
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"agentscope[text-reader]",
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# TODO: the latest pypdf has some issues with parsing PDFs
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# (2026-01-13), so we fix the version here temporarily.
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"pypdf<=6.5.0",
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]
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docx-reader = [
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"agentscope[text-reader]",
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"python-docx"
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]
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excel-reader = [
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"agentscope[text-reader]",
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"pandas",
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"openpyxl",
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]
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ppt-reader = [
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"agentscope[text-reader]",
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"python-pptx"
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]
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readers = [
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"agentscope[text-reader]",
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"agentscope[pdf-reader]",
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"agentscope[docx-reader]",
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"agentscope[excel-reader]",
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"agentscope[ppt-reader]",
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]
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# vdb
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# The qdrant-client >= 1.16.0 has conflicts with pymilvus, so we fix
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# the version to 1.15.1 here.
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qdrant = ["qdrant-client==1.15.1"]
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milvus = ["pymilvus[milvus_lite]"]
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ali_mysql = ["mysql-connector-python"]
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mongodb = ["pymongo"]
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oceanbase = ["pyobvector>=0.2.0,<0.3.0"]
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vdbs = [
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"agentscope[ali_mysql]",
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"agentscope[qdrant]",
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"agentscope[milvus]",
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"agentscope[mongodb]",
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"agentscope[oceanbase]",
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]
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rag = [
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"agentscope[readers]",
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"agentscope[vdbs]",
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]
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# ------------ Evaluation ------------
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evaluate = ["ray"]
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# ------------ Full ------------
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full = [
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"agentscope[a2a]",
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"agentscope[models]",
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"agentscope[tokens]",
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"agentscope[memory]",
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"agentscope[rag]",
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"agentscope[evaluate]",
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"agentscope[realtime]",
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]
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# ------------ Development ------------
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dev = [
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# Include full dependencies from local package
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"agentscope[full]",
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# Development tools
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"pre-commit",
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"pytest",
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"pytest-forked",
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"sphinx-gallery",
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"furo",
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"myst_parser",
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"matplotlib",
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# For unittests
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# For mocking redis in unittests
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"fakeredis",
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"aiosqlite",
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"greenlet",
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# For openjudge
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"py-openjudge",
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]
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[project.urls]
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Homepage = "https://github.com/agentscope-ai/agentscope"
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Documentation = "https://doc.agentscope.io/"
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Repository = "https://github.com/agentscope-ai/agentscope"
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[tool.setuptools]
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packages = { find = { where = ["src"] } }
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include-package-data = true
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[tool.setuptools.package-data]
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"*" = ["py.typed"]
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[build-system]
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requires = ["setuptools>=45", "wheel"]
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build-backend = "setuptools.build_meta"
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[tool.setuptools.dynamic]
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version = {attr = "agentscope._version.__version__"}
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