[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 = ["agent", "multi-agent", "LLM", "AI"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Operating System :: OS Independent",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.11"
dependencies = [
    "aioitertools",
    "anthropic",
    "dashscope",
    "docstring_parser",
    "filetype",
    "json5",
    "json_repair",
    "mcp",
    "httpx",
    "numpy",
    "openai",
    "python-datauri",
    "opentelemetry-api>=1.39.0",
    "opentelemetry-sdk>=1.39.0",
    "opentelemetry-exporter-otlp>=1.39.0",
    "opentelemetry-semantic-conventions>=0.60b0",
    "python-socketio",
    "shortuuid",
    "python-frontmatter",
    "jinja2",
    "aiofiles",
    "tree_sitter",
    "tree_sitter_bash",
    "jsonschema",
]

[project.optional-dependencies]
# ------------ Model APIs ------------
gemini = ["google-genai"]
ollama = ["ollama>=0.5.4"]
xai = ["xai-sdk"]
models = [
    "agentscope[ollama]",
    "agentscope[gemini]",
    "agentscope[xai]",
]
# ------------ Service ------------
service = [
    "fastapi",
    "uvicorn",
    "apscheduler",
    "ag-ui-protocol>=0.1.10",
]
# ------------ Storage ------------
storage = [
    "redis",
]
# ------------ Workspace -----------
k8s = ["kubernetes-asyncio"]
workspace = [
    "aiodocker",
    "e2b",
    "agentscope[k8s]",
    "opensandbox",
]
# ------------ Tools ------------
tools = [
    "ripgrep",
]
# ------------ RAG ------------
rag = [
    "qdrant-client",
    "pypdf",
    "python-pptx",
    "python-docx",
    "openpyxl>=3.1.5",
    "xlrd>=2.0",
    "pandas",
]
milvuslite = [
    "pymilvus[milvus-lite]>=2.4.0",
    "milvus-lite>=3.0; sys_platform == 'win32'",
]
# ------------ MongoDB vector store ------------
mongodb = [
    "pymongo>=4.7",
]

# ------------ S3-compatible blob store ------------
s3 = [
    "aioboto3",
]

# ------------ Long-term memory ------------
# Required by `agentscope.middleware._longterm_memory.Mem0Middleware`.
# Pinned to mem0 v2.x because the middleware targets that
# architecture: ADDITIVE_EXTRACTION_PROMPT + AGENT_CONTEXT_SUFFIX
# (replaced v1's USER/AGENT_MEMORY_EXTRACTION_PROMPT split) and the
# v3 phased pipeline in `_add_to_vector_store`. Running on mem0 1.x
# wouldn't crash but the 2-tier add fallback degenerates into a
# wasted LLM call.
mem0 = ["mem0ai>=2.0.0"]
# Required by `agentscope.middleware._longterm_memory.ReMeMiddleware`.
reme = ["reme-ai>=0.4.0.6"]
# ------------ Full ------------
full = [
    "agentscope[models]",
    "agentscope[service]",
    "agentscope[storage]",
    "agentscope[workspace]",
    "agentscope[tools]",
    "agentscope[rag]",
    "agentscope[milvuslite]",
    "agentscope[mongodb]",
    "agentscope[s3]",
    "agentscope[mem0]",
    "agentscope[reme]",
]

# ------------ Development ------------
dev = [
    # Include full dependencies from local package
    "agentscope[full]",
    # Development tools
    "pre-commit",
    "pytest",
    "pytest-forked",
    "myst_parser",
    "matplotlib",
    "fakeredis",
    # S3-backend testing — moto[server] spins up an in-process S3, the
    # store-under-test (`S3BlobStore`) uses aioboto3, and boto3 is the
    # sync client the test fixtures use to seed/verify buckets.
    "moto[server,s3]",
    "aioboto3",
    "boto3",
    # RAG parser tests — used to generate PDF fixtures in-memory
    "reportlab",
]

[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"] } }
include-package-data = true

[tool.setuptools.package-data]
# ``"*"`` applies to every discovered package. Patterns:
# - ``py.typed`` marks the typed package per PEP 561.
# - ``_models/*.yaml`` reaches into the data-only ``_models/``
#  subdirs that ship with each model provider (they have no
#   ``__init__.py`` and are not packages, but the files still
#   live alongside the parent package's source on disk).
"*" = [
    "py.typed",
    "_models/*.yaml",
    "_cosyvoice_models/*.yaml",
]
"agentscope.workspace._docker" = ["Dockerfile*.template"]
[build-system]
requires = ["setuptools>=45", "wheel"]
build-backend = "setuptools.build_meta"

[tool.setuptools.dynamic]
version = {attr = "agentscope._version.__version__"}