sqlrite-engine 0.10.1

Light version of SQLite developed with Rust. Published as `sqlrite-engine` on crates.io; import as `use sqlrite::…`.
Documentation
[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "sqlrite-agent"
version = "0.1.0"
description = "Example: a Python CLI chat agent with persistent long-term memory backed entirely by SQLRite (vector + lexical recall, periodic summarization, structured fact extraction)."
readme = "README.md"
requires-python = ">=3.11"
license = { text = "MIT" }
authors = [{ name = "SQLRite contributors" }]
keywords = ["sqlrite", "llm", "agent", "rag", "memory", "vector-search"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "License :: OSI Approved :: MIT License",
    "Topic :: Database",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

# The agent binds only to the public SQLRite Python SDK surface
# (`sqlrite.connect`, `Connection`, `Cursor`). Pinned to the 0.10.x
# release that introduced VECTOR + HNSW + the `ask` feature.
dependencies = [
    "sqlrite>=0.10.0,<0.11.0",
]

[project.optional-dependencies]
# Cloud LLM + embedding providers — install whichever you want.
anthropic = ["anthropic>=0.40"]
openai = ["openai>=1.40"]
# Local embedding model — heavy install (~500 MB with torch), but
# means no API key is needed for the embedding half of recall.
local-embeddings = ["sentence-transformers>=2.7"]
# Everything at once for a full demo.
all = ["anthropic>=0.40", "openai>=1.40", "sentence-transformers>=2.7"]
dev = ["pytest>=7", "pytest-cov"]

[project.scripts]
sqlrite-agent = "sqlrite_agent.cli:main"

[project.urls]
Homepage = "https://sqlritedb.com"
Repository = "https://github.com/joaoh82/rust_sqlite"
"Bug Tracker" = "https://github.com/joaoh82/rust_sqlite/issues"

[tool.setuptools.packages.find]
where = ["."]
include = ["sqlrite_agent*"]

[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-ra --tb=short"