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README.md
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**An OpenEnv RL Benchmark for Multi-Turn Adversarial Reasoning and Policy Defense**
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## 🧠 The Problem: The "Multi-Turn" Vulnerability in LLMs
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Modern Large Language Models (LLMs) are heavily tested against single-shot prompt injections (e.g., "ignore previous instructions"). However, real-world manipulation and misalignment rarely happen in a single turn.
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```bash
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python inference.py
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```
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## 👨💻 Author
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Aditya Katkar
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**An OpenEnv RL Benchmark for Multi-Turn Adversarial Reasoning and Policy Defense**
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Live deployment: [addyk24-strategic-argument-red-teaming-env.hf.space](https://addyk24-strategic-argument-red-teaming-env.hf.space)
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Repository: [github.com/Addyk-24/strategic-argument-red-teaming](https://github.com/Addyk-24/strategic-argument-red-teaming)
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## 🧠 The Problem: The "Multi-Turn" Vulnerability in LLMs
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Modern Large Language Models (LLMs) are heavily tested against single-shot prompt injections (e.g., "ignore previous instructions"). However, real-world manipulation and misalignment rarely happen in a single turn.
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```bash
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python inference.py
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```
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### 4. Run the Environment Server:
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```bash
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python app.py
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```
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## 👨💻 Author
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Aditya Katkar
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