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pyproject.toml
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68 lines (62 loc) · 1.51 KB
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[project]
name = "mnemebrain-lite"
version = "0.1.0a6"
description = "Give your AI a real brain - Agents today store text. MnemeBrain stores beliefs with evidence, confidence, provenance, and revision logic."
readme = "README.md"
license = "MIT"
authors = [
{ name = "mnemebrain", email = "hello@mnemebrain.ai" }
]
requires-python = ">=3.12"
dependencies = [
"pydantic>=2.0",
"kuzu>=0.8",
"numpy>=1.26,<2.0",
"httpx>=0.27",
]
[project.optional-dependencies]
api = [
"fastapi>=0.115",
"uvicorn[standard]>=0.34",
]
embeddings = [
"sentence-transformers>=3.0,<4.0",
]
openai = [
"openai>=1.0",
]
all = [
"mnemebrain-lite[api]",
"mnemebrain-lite[embeddings]",
"mnemebrain-lite[openai]",
]
dev = [
"mnemebrain-lite[api]",
"pytest>=8.0",
"pytest-asyncio>=0.24",
"httpx>=0.27",
"pytest-cov>=5.0",
"ruff>=0.9",
"mypy>=1.19",
"asgi-lifespan>=2.0",
]
[project.scripts]
mnemebrain = "mnemebrain_core.__main__:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/mnemebrain_core"]
[tool.uv]
environments = [
"sys_platform == 'linux' and platform_machine == 'x86_64'",
"sys_platform == 'darwin' and platform_machine == 'arm64'",
"sys_platform == 'darwin' and platform_machine == 'x86_64'",
]
[tool.pytest.ini_options]
testpaths = ["tests"]
asyncio_mode = "auto"
markers = [
"integration: marks tests requiring Kuzu DB and embeddings",
"e2e: marks end-to-end API tests",
]