[project]
name = "privaite"
version = "0.8.2"
description = "Drop-in self-hosted LLM proxy that reversibly redacts PII before LLM calls, including tool-call arguments and multimodal content"
readme = "README.md"
requires-python = ">=3.11"
license = "BSD-3-Clause"
keywords = [
    "privacy", "pii", "pii-redaction", "redaction", "anonymization",
    "de-identification", "data-masking", "llm", "llm-security", "proxy",
    "openai", "chatgpt", "gdpr", "presidio", "guardrails", "self-hosted",
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Information Technology",
    "Framework :: FastAPI",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Security",
    "Topic :: Internet :: Proxy Servers",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Natural Language :: English",
    "Natural Language :: French",
    "Natural Language :: German",
    "Natural Language :: Spanish",
    "Natural Language :: Italian",
]

dependencies = [
    "fastapi>=0.115.0",
    "uvicorn[standard]>=0.30.0",
    "sse-starlette>=2.0.0",
    # Floors below known-CVE fixes (SkillSpector/OSV audit 2026-07):
    # litellm 1.84 (CVE-2026-49468), pydantic 2.4 (CVE-2024-3772),
    # transformers 5.3 (CVE-2026-4372), torch 2.6 (CVE-2025-32434).
    "litellm>=1.84.0",
    "pydantic>=2.4",
    "pyyaml>=6.0",
    "python-dotenv>=1.0",
    "httpx>=0.27.0",
    "presidio-analyzer>=2.2",
    "presidio-anonymizer>=2.2",
    "spacy>=3.7",
    "onnxruntime>=1.17",
    "transformers>=5.3",
    "huggingface_hub>=0.23",
    "faker>=25.0",
    "click>=8.0",
]

[project.optional-dependencies]
# BERT NER detector (the `standard`/`full` presets). This is the only path that
# needs torch; the default `onnx` preset runs on onnxruntime (a core dependency).
ml = [
    "torch>=2.6",
]
# GLiNER detector (the `max` preset): an independent, non-AI4Privacy PII model that
# raises out-of-distribution recall. Needs torch + the gliner package; not part of
# the onnxruntime floor.
gliner = [
    "gliner>=0.2.13",
    "torch>=2.6",
]
# Core ML backend of the minilm detector (the `ultrafast` preset): runs the model
# on the Apple Neural Engine. macOS only; the `minilm` preset needs nothing extra.
ane = [
    "coremltools>=9.0; sys_platform == 'darwin'",
]
dev = [
    "pytest>=8.0",
    "pytest-asyncio>=0.24",
    "pytest-httpx>=0.30",
    "respx>=0.21",
    "coverage>=7.0",
    # Pin the formatter too: a floating Ruff release can legitimately rewrite
    # already-formatted files, making the documented pre-release gate unstable.
    "ruff==0.16.0",
    "mypy>=1.10",
]

[project.scripts]
privaite = "privaite.cli:main"

[project.urls]
Homepage = "https://github.com/crp4222/PrivAiTe"
Repository = "https://github.com/crp4222/PrivAiTe"
Documentation = "https://crp4222.github.io/PrivAiTe/"
Issues = "https://github.com/crp4222/PrivAiTe/issues"
Changelog = "https://github.com/crp4222/PrivAiTe/blob/main/CHANGELOG.md"

[tool.setuptools.packages.find]
include = ["privaite*"]

[build-system]
requires = ["setuptools>=78.1.1"]
build-backend = "setuptools.build_meta"

[tool.ruff]
target-version = "py311"
line-length = 100

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP"]

[tool.mypy]
python_version = "3.12"
ignore_missing_imports = true

[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]