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docs: add MIT license and update project description for v3.0
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LICENSE

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MIT License
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Copyright (c) 2026 Abhishek Gupta
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

README.md

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- reinforcement-learning
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- stables-baselines3
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- basilisk-redteamer
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license: mit
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---
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# 🛡️ SafetyForge Arena v3.0 — The RL Safety Gym
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**AI-powered reinforcement learning safety gym for adversarial stress-testing LLM policies using adaptive red-teaming and intelligent decision-making.**
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I upgraded SafetyGuard X into **SafetyForge Arena v3.0** — a complete RL safety stress testing gym.
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The AI automatically evaluates any query, makes a decision (Allow/Block/Modify), explains its reasoning in the right panel, and even shows the final safe response when appropriate.
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It supports multi-turn conversations, just like a real safety monitoring system used at OpenAI/Meta/xAI.
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ALL TESTS PASSED — Ready to deploy v3.0!
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==================================================
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```
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

pyproject.toml

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[project]
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name = "safetyguard-x"
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version = "1.0.0"
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description = "Adversarial AI Safety Stress Testing Environment"
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version = "3.0.0"
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description = "AI-powered reinforcement learning safety gym for adversarial stress-testing LLM policies using adaptive red-teaming and intelligent decision-making."
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license = {text = "MIT"}
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requires-python = ">=3.10"
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dependencies = [
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"fastapi==0.115.5",

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