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Python Unittest Coverage / test (macos-15, 3.11) (push) Waiting to run
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181 lines
4.7 KiB
TOML
181 lines
4.7 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 = ["agent", "multi-agent", "LLM", "AI"]
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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 :: 3.11",
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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 = ">=3.11"
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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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"filetype",
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"json5",
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"json_repair",
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"mcp",
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"httpx",
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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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"python-frontmatter",
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"jinja2",
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"aiofiles",
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"tree_sitter",
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"tree_sitter_bash",
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"jsonschema",
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]
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[project.optional-dependencies]
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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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xai = ["xai-sdk"]
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models = [
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"agentscope[ollama]",
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"agentscope[gemini]",
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"agentscope[xai]",
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]
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# ------------ Service ------------
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service = [
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"fastapi",
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"uvicorn",
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"apscheduler",
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"ag-ui-protocol>=0.1.10",
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]
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# ------------ Storage ------------
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storage = [
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"redis",
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]
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# ------------ Workspace -----------
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k8s = ["kubernetes-asyncio"]
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workspace = [
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"aiodocker",
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"e2b",
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"agentscope[k8s]",
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"opensandbox",
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]
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# ------------ Tools ------------
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tools = [
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"ripgrep",
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]
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# ------------ RAG ------------
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rag = [
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"qdrant-client",
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"pypdf",
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"python-pptx",
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"python-docx",
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"openpyxl>=3.1.5",
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"xlrd>=2.0",
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"pandas",
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]
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milvuslite = [
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"pymilvus[milvus-lite]>=2.4.0",
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"milvus-lite>=3.0; sys_platform == 'win32'",
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]
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# ------------ MongoDB vector store ------------
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mongodb = [
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"pymongo>=4.7",
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]
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# ------------ S3-compatible blob store ------------
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s3 = [
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"aioboto3",
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]
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# ------------ Long-term memory ------------
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# Required by `agentscope.middleware._longterm_memory.Mem0Middleware`.
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# Pinned to mem0 v2.x because the middleware targets that
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# architecture: ADDITIVE_EXTRACTION_PROMPT + AGENT_CONTEXT_SUFFIX
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# (replaced v1's USER/AGENT_MEMORY_EXTRACTION_PROMPT split) and the
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# v3 phased pipeline in `_add_to_vector_store`. Running on mem0 1.x
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# wouldn't crash but the 2-tier add fallback degenerates into a
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# wasted LLM call.
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mem0 = ["mem0ai>=2.0.0"]
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# Required by `agentscope.middleware._longterm_memory.ReMeMiddleware`.
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reme = ["reme-ai>=0.4.0.6"]
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# ------------ Full ------------
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full = [
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"agentscope[models]",
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"agentscope[service]",
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"agentscope[storage]",
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"agentscope[workspace]",
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"agentscope[tools]",
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"agentscope[rag]",
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"agentscope[milvuslite]",
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"agentscope[mongodb]",
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"agentscope[s3]",
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"agentscope[mem0]",
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"agentscope[reme]",
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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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"myst_parser",
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"matplotlib",
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"fakeredis",
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# S3-backend testing — moto[server] spins up an in-process S3, the
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# store-under-test (`S3BlobStore`) uses aioboto3, and boto3 is the
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# sync client the test fixtures use to seed/verify buckets.
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"moto[server,s3]",
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"aioboto3",
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"boto3",
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# RAG parser tests — used to generate PDF fixtures in-memory
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"reportlab",
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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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# ``"*"`` applies to every discovered package. Patterns:
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# - ``py.typed`` marks the typed package per PEP 561.
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# - ``_models/*.yaml`` reaches into the data-only ``_models/``
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# subdirs that ship with each model provider (they have no
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# ``__init__.py`` and are not packages, but the files still
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# live alongside the parent package's source on disk).
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"*" = [
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"py.typed",
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"_models/*.yaml",
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"_cosyvoice_models/*.yaml",
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]
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"agentscope.workspace._docker" = ["Dockerfile*.template"]
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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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