symbolicai/pyproject.toml at main · ExtensityAI/symbolicai · GitHub

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[build-system]
requires = ["uv_build>=0.9.28,<0.12.0"]
build-backend = "uv_build"

[tool.uv]
package = true
required-version = ">=0.13.4"

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.uv.sources]
torch = { index = "pytorch-cpu" }

[project]
name = "symbolicai"
version = "2.2.0"
authors = [
    { name = "Marius-Constantin Dinu", email = "marius@extensity.ai" },
    { name = "Leoveanu-Condrei Claudiu", email = "leo@extensity.ai" },
]
description = "A Neurosymbolic Perspective on Large Language Models"
readme = "README.md"
requires-python = ">=3.11"
keywords = ["probabilistic programming", "machine learning"]
license = "BSD-3-Clause"
license-files = ["LICENSE"]
classifiers = [
    "Programming Language :: Python :: 3",
    "Operating System :: OS Independent",
]
dependencies = [
    "numpy>=1.26.4,<=2.1.3",
    "tqdm>=4.66.3",
    "tiktoken>=0.8.0",
    "pillow>=13.0.0",
    "beartype>=0.18.2",
    "pydantic>=2.8.2",
    "jinja2>=3.1.0",
    "markitdown[docx,outlook,pdf,pptx,xls,xlsx]",
    "filetype>=1.2.0",
    "python-box>=7.1.1",
    "httpx>=0.28.1",
    "certifi>=2026.10.19",
]

[project.optional-dependencies]
hf = [
    "torch>=2.13.0",
    "aiohttp>=3.14.4",
    "transformers>=4.45.2",
    "accelerate>=0.33.0",
    "peft>=0.13.1",
    "datasets>=3.0.1",
    "trl>=0.11.3",
    "sentencepiece>=0.2.0",
    "sentence-transformers>=2.5.1",
]
scrape = [
    "beautifulsoup4>=4.12.3",
    "trafilatura>=2.0.0",
    "pdfminer.six",
    "playwright>=1.45.0",
]
# NOTE: vllm is a bring-your-own dependency (same pattern as llama.cpp's --cpp-server-path).
#       Users clone + build vLLM in its own venv and pass --vllm-python-path to symserver.
#       See docs/source/ENGINES/local_engine.md.
lean = ["docker>=7.0.0"]
whisper = ["torch>=2.13.0", "openai-whisper>=20240930", "numba>=0.62.1", "llvmlite>=0.45.1"]
video = ["opencv-python>=4.8.1.78"]
search = ["tldextract>=5.1.0"]
services = ["fastapi>=0.110.0", "uvicorn>=0.27.1"]
qdrant = ["qdrant-client", "chonkie>=0.4.1", "tokenizers"]
cluster = ["scikit-learn>=1.7.0"]
all = [
    "symbolicai[hf]",
    "symbolicai[whisper]",
    "symbolicai[video]",
    "symbolicai[scrape]",
    "symbolicai[search]",
    "symbolicai[services]",
    "symbolicai[qdrant]",
    "symbolicai[lean]",
    "symbolicai[cluster]",
]
dev = ["pytest-asyncio>=1.3.0", "pytest-xdist>=3.6.0"]

[tool.uv.build-backend]
module-name = "symai"
module-root = ""
source-exclude = [
    "/.github",
    "/artifacts",
    "/build",
    "/docs",
    "/examples",
    "/pytest.ini",
    "/ruff.toml",
    "/tests",
    "/uv.lock",
    "*.egg-info",
    "*.pyc",
    ".DS_Store",
    "__pycache__",
]

[dependency-groups]
dev = [
    "ruff>=0.14.4",
    "pytest>=8.3.1",
    "pytest-asyncio>=1.3.0",
    "pytest-xdist>=3.6.0",
    "python-dotenv>=1.0.0",
]

[project.urls]
"Homepage" = "https://extensity.ai"
"GitHub" = "https://github.com/ExtensityAI/symbolicai"

[project.scripts]
symconfig = "symai:display_config"
symserver = "symai:run_server"