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pyproject.toml
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105 lines (89 loc) · 1.98 KB
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[build-system]
requires = ["setuptools>=75.2.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "airefinery-sdk"
version = "1.31.1"
description = "AI Refinery™ by Accenture SDK for developing and executing AI multi-agent solutions."
readme = "README.md"
requires-python = ">=3.12"
license = { text = "Apache-2.0" }
authors = [
{ name = "Accenture", email = "sdk_airefinery@accenture.com" }
]
dependencies = [
"omegaconf>=2.2.3",
"requests>=2.32.2",
"asyncpg>=0.30.0",
"aiohttp[speedups]>=3.11.0",
"pillow>=11.0.0",
"websockets>=13.0",
"tenacity>=9.0.0",
"setuptools>=75.2.0",
"numpy>=1.26.0",
"pandas>=2.2.3",
"mcp>=1.6.0",
"aiofiles>=24.1.0",
"filelock>=3.15.3",
"tqdm>=4.67.0",
]
[project.optional-dependencies]
tah-vertex-ai = [
"google-genai>=1.59.0",
"google-cloud-aiplatform[agent_engines]>=1.138.0",
]
tah-azure-ai = [
"azure-ai-projects==1.0.0b8",
"azure-identity==1.26.0b1",
"azure-storage-blob>=12.24.1",
]
tah-writer-ai = [
"writer-sdk>=2.2.0",
]
knowledge = [
"graphrag==2.5.0",
"networkx>=3.4.2",
"matplotlib>=3.10.1",
]
tah-aws-ai = [
"boto3>=1.38.36",
]
tah-a2a = [
"a2a-sdk==0.2.8",
"langchain-core>=1.2.14",
"langchain-openai>=0.3.27",
"langgraph>=0.5.2",
]
tah-databricks = [
"databricks-sdk>=0.57.0",
]
pii = [
"presidio-analyzer>=2.2.358",
"presidio-anonymizer>=2.2.358",
]
realtime = [
"sounddevice>=0.5.1",
]
full = [
"google-genai>=1.59.0",
"google-cloud-aiplatform[agent_engines]>=1.138.0",
"azure-ai-projects==1.0.0b8",
"azure-identity==1.26.0b1",
"writer-sdk>=2.2.0",
"graphrag==2.5.0",
"networkx>=3.4.2",
"matplotlib>=3.10.1",
"boto3>=1.38.36",
"a2a-sdk==0.2.8",
"langchain-core>=1.2.14",
"langchain-openai>=0.3.27",
"langgraph>=0.5.2",
"databricks-sdk>=0.57.0",
"presidio-analyzer>=2.2.358",
"presidio-anonymizer>=2.2.358",
"sounddevice>=0.5.1",
]
[project.scripts]
air = "air.main:main"
[project.urls]
Homepage = "https://github.com/Accenture/airefinery-sdk"