pyproject.toml

[project]
name = "getflex"
version = "0.10.0"
description = "Knowledge engine for AI agents. Compile any data source into a queryable SQLite cell with embeddings, graph intelligence, and full-text search."
license = { text = "MIT" }
readme = "README.md"
requires-python = ">=3.12"
keywords = ["vector-search", "sql", "embeddings", "ai-agents", "mcp", "sqlite", "knowledge-base", "retrieval", "semantic-search"]
dependencies = [
    "numpy>=2.0,<3",
    "networkx>=3.0,<4",
    "scikit-learn>=1.5,<2",
    "onnxruntime>=1.17,<2",
    "tokenizers>=0.19,<1",
    "pyyaml>=6.0,<7",
    "rich>=13.0,<14",
    "tzlocal>=5.0,<6",
    "mcp>=1.0,<2",
    "starlette>=0.49.1,<1",
    "uvicorn>=0.30,<1",
]

[project.optional-dependencies]

[project.urls]
Homepage = "https://getflex.dev"
Repository = "https://github.com/damiandelmas/flex"
Paper = "https://arxiv.org/abs/2603.22587"

[project.scripts]
flex = "flex.cli:main"

[tool.setuptools.package-data]
flex = [
    "modules/claude_code/**/*.sql",
    "modules/soma/**/*.sql",
    "retrieve/presets/general/*.sql",
    "onnx/*.json",
    "onnx/vocab.txt",
    "ai/agents/trace.md",
    "ai/commands/flex/agent.md",
    "ai/commands/flex/search.md",
    "ai/skills/flex/**/*",
]

[tool.setuptools.exclude-package-data]
flex = ["onnx/model.onnx", "onnx/model.onnx.data"]

[tool.setuptools.packages.find]
include = ["flex*"]
exclude = ["flex_embed*"]

[tool.pytest.ini_options]
testpaths = ["tests"]
markers = [
    "unit: In-memory SQLite, no external deps",
    "pipeline: Needs ONNX model on disk",
    "security: Authorizer and input validation",
    "vec_ops: Vector operations and search",
    "enrichment: Graph, fingerprint, delegation",
    "sync: Unified sync pipeline",
    "soma: SOMA identity module",
]

[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"