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pyproject.toml
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55 lines (49 loc) · 1.31 KB
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[project]
name = "cognitive-cache"
version = "0.1.1"
description = "Optimal context orchestration for LLMs"
readme = "README.md"
license = "MIT"
license-files = ["LICENSE"]
authors = [{ name = "Anish Shrestha" }]
classifiers = [
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Software Development :: Libraries :: Python Modules",
"Intended Audience :: Developers",
]
requires-python = ">=3.11"
dependencies = [
"tiktoken>=0.7.0",
"scikit-learn>=1.4.0",
"networkx>=3.2",
"numpy>=1.26.0",
]
[project.optional-dependencies]
mcp = [
"mcp>=1.0.0",
]
benchmark = [
"anthropic>=0.40.0",
"openai>=1.50.0",
]
[project.urls]
Homepage = "https://github.com/Anyesh/cognitive-cache"
Repository = "https://github.com/Anyesh/cognitive-cache"
Issues = "https://github.com/Anyesh/cognitive-cache/issues"
[dependency-groups]
dev = [
"pytest>=8.0.0",
"pytest-cov>=4.1.0",
]
[project.scripts]
cognitive-cache = "cognitive_cache.cli:main"
cognitive-cache-mcp = "cognitive_cache.mcp_server:main"
[build-system]
requires = ["uv_build>=0.9.17,<0.10.0"]
build-backend = "uv_build"
[tool.pytest.ini_options]
testpaths = ["tests"]