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pyproject.toml
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69 lines (64 loc) · 1.67 KB
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[build-system]
requires = ["maturin>=1.4,<2.0"]
build-backend = "maturin"
[project]
name = "infinite-context"
version = "0.1.0"
description = "Give any local LLM unlimited memory. 11M+ tokens, 28ms latency, 100% accuracy."
readme = "README.md"
license = {text = "MIT"}
authors = [
{name = "Andrew Young"}
]
keywords = [
"llm",
"memory",
"context",
"ollama",
"gemma",
"phi",
"llama",
"vector",
"embedding",
"retrieval",
"infinite",
"local",
"ai",
"hat"
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Rust",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.9"
dependencies = [
"sentence-transformers>=2.2.0",
"numpy>=1.20.0",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0.0",
"maturin>=1.4.0",
]
[project.scripts]
infinite-context = "infinite_context:cli_main"
[project.urls]
Homepage = "https://github.com/Lumi-node/infinite-context"
Documentation = "https://github.com/Lumi-node/infinite-context#readme"
Repository = "https://github.com/Lumi-node/infinite-context"
Issues = "https://github.com/Lumi-node/infinite-context/issues"
[tool.maturin]
features = ["python"]
python-source = "python"
module-name = "infinite_context._core"
strip = true