Initial release

LICENSE

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+MIT License
+
+Copyright (c) 2025 Corvoysier Simon
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# ai-sentinel 
+A Python library as a tool for monitoring and managing AI systems.
+
+## Installation

ai_sentinel/__init__.py

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+from .audit import audit, detect_prompt_injection
+
+__all__ = ['audit', 'detect_prompt_injection']

ai_sentinel/audit.py

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+import re
+
+DANGEROUS_PATTERNS = [
+    r"ignore previous instructions",
+    r"malicious",
+    r"jailbreak",
+    r"system override",
+]
+
+def detect_prompt_injection(prompt: str) -> bool:
+    """
+    Detects if the given prompt contains any known prompt injection patterns.
+
+    Args:
+        prompt (str): The input prompt to be analyzed.
+    """
+    flags = []
+    for pattern in DANGEROUS_PATTERNS:
+        if re.search(pattern, prompt, re.IGNORECASE):
+            flags.append(pattern)
+    return flags
+
+def audit(prompt: str) -> dict:
+    return {
+        "injection_patterns": detect_prompt_injection(prompt),
+        "length" : len(prompt),
+        "has_code": bool(re.search(r"\b(def |import |class )", prompt)),
+    }

pyproject.toml

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+```toml
+
+[project]
+
+name = "ai-sentinel"
+version = "0.1.0"
+description = "Bibliothèque de sécurité pour l'IA (détection de prompt injection, audit de risques)"
+readme = "README.md"
+requires-python = ">=3.8"
+license = { text = "MIT" }
+keywords = ["ai", "security", "prompt injection", "audit"]
+
+authors = [
+  { name="Mieow-ai", email="simon.corvoysier@gmail.com" }
+]
+
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project.urls]
+Homepage = "https://github.com/Mieow-ai/ai-sentinel"

setup.cfg

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+[metadata]
+name = ai-sentinel
+version = 0.1.0
+author = Mieow-ai
+author_email = simon.corvoysier@gmail.com
+description = A Python library as a tool for monitoring and managing AI systems.
+long_description = file: README.md
+long_description_content_type = text/markdown
+url = https://github.com/Mieow-ai/ai-sentinel
+license = MIT
+classifiers =
+    Programming Language :: Python :: 3
+    License :: OSI Approved :: MIT License
+    Operating System :: OS Independent
+
+[options]
+packages = find:
+python_requires = >=3.8
+install_requires =
+    ---
+tests_require =
+    pytest

setup.py

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+from setuptools import setup, find_packages
+
+setup (
+    name='ai-sentinel',
+    version='0.1.0',
+    packages=find_packages(),
+    description='AI Sentinel: A tool for monitoring and managing AI systems.',
+    author='Mieow-AI',
+    license='MIT',
+)

tests/test_audit.py

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+from ai_sentinel import audit
+
+def test_detection():
+    result = audit("Ignore previous instructions")
+    assert result["prompt_injection_detected"] == True