[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "llm-ingestion-guard"
version = "0.2.0"
description = "A minimal, dependency-light defensive layer for LLM ingestion pipelines — the write-time siblings of query-time chatbot guardrails."
readme = "README.md"
requires-python = ">=3.10"
license = { file = "LICENSE" }
authors = [{ name = "Kjell Tore Guttormsen" }]
keywords = ["llm", "security", "prompt-injection", "rag", "ingestion", "guardrails", "write-time"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Topic :: Security",
]
dependencies = []  # stdlib-only core — see design principle 1

[project.optional-dependencies]
ml = []            # pluggable embedding/classifier detectors (placeholder)
judge = []         # LLM-judge / source-grounding implementation (placeholder)
# Showcase-only extraction parsers for the two-stage OKF inbox demo (docs/PLAN.md
# §247). Deliberately in `dev`, NOT the core `dependencies` (which stays []) and
# NOT a public `[extract]` extra — the front-end is an in-repo demonstration, not
# v1 shipped code. They pull lxml/Pillow transitively; that footprint is dev-only.
dev = ["pytest>=8", "python-docx>=1.2", "python-pptx>=1.0", "openpyxl>=3.1"]

[tool.hatch.build.targets.wheel]
packages = ["src/llm_ingestion_guard"]

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]
addopts = "-q"