CalvinBackup/EvoSynth
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Update README and requirements

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dongdongunique
2025-12-10 03:16:48 +08:00
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README.md
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@@ -29,7 +29,20 @@ git clone https://github.com/dongdongunique/EvoSynth.git
cd EvoSynth cd EvoSynth
pip install -r requirements.txt pip install -r requirements.txt
``` ```
## Create an .env file
```bash
OPENAI_KEY="YOUR-KEY"
OPENAI_API_KEY="YOUR-KEY"
OPENAI_BASE_URL="YOUR-URL"
LANGFUSE_PUBLIC_KEY="YOUR-KEY"
LANGFUSE_SECRET_KEY="YOUR-KEY"
LANGFUSE_HOST="https://cloud.langfuse.com"
DEFAULT_MODEL="deepseek-chat"
OPENAI_MODEL="deepseek-chat"
```
## Quick Start ## Quick Start
### Environment Setup ### Environment Setup
@@ -152,6 +165,12 @@ Results are evaluated using:
- **LLM Judge**: Scores responses on a 1-5 scale. Prompts are from ActorAttack. - **LLM Judge**: Scores responses on a 1-5 scale. Prompts are from ActorAttack.
- **Success Threshold**: Score >= 5 indicates successful jailbreak - **Success Threshold**: Score >= 5 indicates successful jailbreak
## TODO
- [x] **Phase 1: Framework Development** - Core architecture and multi-agent system implementation
- [ ] **Phase 2: SOTA LLM Testing** - Evaluating framework against recent released state-of-the-art LLMs (GPT-5.1, GEMINI 3.0 Pro, Claude 4.5 Opus etc.)
- [ ] **Phase 3: Dataset Curation** - Filtering and curating generated attack results to create a new research dataset
## Ethical Disclaimer ## Ethical Disclaimer
**For Defensive Security Research Only.** **For Defensive Security Research Only.**
@@ -181,4 +200,4 @@ If you use EvoSynth in your research, please cite:
## Contributing ## Contributing
Contributions are welcome! Please read our contributing guidelines before submitting pull requests. Contributions are welcome!

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requirements.txt
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@@ -1,27 +1,15 @@
# Core Dependencies # Core Dependencies
openai>=1.0.0 openai>=2.8.1
openai-agents>=0.1.0 openai-agents>=0.6.1
nest-asyncio>=1.5.0 nest-asyncio>=1.6.0
aiofiles>=23.0.0 aiofiles>=25.1.0
httpx>=0.24.0 python-dotenv>=1.2.1
python-dotenv>=1.0.0
# Data Processing # Data Processing
pandas>=2.0.0 pandas>=2.2.3
numpy>=1.24.0
# Machine Learning
torch>=2.0.0
transformers>=4.30.0
scikit-learn>=1.3.0
# Image Processing # Image Processing
Pillow>=10.0.0 Pillow>=12.0.0
diffusers>=0.25.0
# Progress & Utilities # Progress & Utilities
tqdm>=4.65.0 tqdm>=4.67.1
# Optional: Observability
langfuse>=2.0.0
logfire>=0.30.0