avp-python/pyproject.toml at main · VectorArc/avp-python · GitHub

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "avp"
dynamic = ["version"]
description = "Multi-agent text handoffs discard KV-cache and attention state. AVP transfers that state directly — 51-78% fewer tokens, 1.5-5x faster."
readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.10"
authors = [{ name = "VectorArc" }]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

dependencies = [
    "numpy>=1.24",
    "protobuf>=4.21",
    "zstandard>=0.21",
]

[project.urls]
Homepage = "https://github.com/VectorArc/avp-python"
Documentation = "https://github.com/VectorArc/avp-python#documentation"
Repository = "https://github.com/VectorArc/avp-python"
Issues = "https://github.com/VectorArc/avp-python/issues"
Changelog = "https://github.com/VectorArc/avp-python/blob/main/CHANGELOG.md"

[project.optional-dependencies]
# Engine connectors (pick one or more)
hf = ["torch>=2.0", "transformers>=5.0"]
huggingface = ["avp[hf]"]
vllm = ["vllm>=0.17.0,<0.19.0", "safetensors>=0.4", "huggingface-hub>=1.0"]
llamacpp = ["llama-cpp-python>=0.3", "gguf>=0.6"]
ollama = ["llama-cpp-python>=0.3", "gguf>=0.6"]
# Framework integrations (each requires HF engine)
langchain = ["avp[hf]", "langchain-core>=1.0"]
crewai = ["avp[hf]", "crewai>=0.86"]
autogen = ["avp[hf]", "autogen-core>=0.4"]
# Reference transport binding
transport = ["httpx[http2]>=0.25"]
server = ["avp[transport]", "fastapi>=0.104", "uvicorn[standard]>=0.24"]
# Convenience bundles
all = ["avp[hf,llamacpp,langchain,crewai,autogen,transport,server]"]
# Development
benchmark = ["avp[hf]", "datasets>=2.14"]
dev = [
    "avp[hf,transport,server]",
    "pytest>=7.0",
    "pytest-asyncio>=0.21",
    "ruff>=0.1",
    "grpcio-tools>=1.59",
]

[project.entry-points."vllm.general_plugins"]
avp_latent = "avp.connectors.vllm_model_plugin:register"

[tool.hatch.version]
path = "src/avp/version.py"

[tool.hatch.build.targets.wheel]
packages = ["src/avp"]

[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
markers = [
    "requires_torch: marks tests that require torch",
    "requires_transformers: marks tests that require transformers",
    "requires_vllm: marks tests that require vLLM + CUDA GPU (deselected by default)",
]
addopts = "-m 'not requires_vllm'"

[tool.ruff]
line-length = 99
target-version = "py310"