Documentation

Install

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Test

Computer Vision

# Authenticationset RNB_TOKEN=your_token

# Classifier
rnb preview --model vgg16.pth \
    --input images/ --submit

# YOLO Detector
rnb preview --model-type yolo \
    --model best.pt --input images/ --submit

Compatible: ResNet, VGG, MobileNet, EfficientNet, ViT, YOLO

LLM

# Local Python filernb llm --file my_chatbot.py

# API providerrnb llm --provider openai \
    --model gpt-4 --api-key $OPENAI_KEY

# Custom endpointrnb llm --endpoint https://api.com/chat

Compatible: OpenAI, Anthropic, Gemini, Mistral, Cohere

RAG

# Full RAG pipeline testrnb llm --file my_rag_app.py \
    --attacks RAG,SPE,JB

# Auto-detectionrnb llm --file rag_chatbot.py --auto

Detects: LangChain, LlamaIndex, ChromaDB, Pinecone

AI Agents

# Autonomous agent testrnb llm --file my_agent.py \
    --attacks AGT

# Full suiternb llm --file my_agent.py --all

Frameworks: AutoGen, CrewAI, LangChain Agents

Zero-Knowledge

• Tests run 100% locally
• Model never leaves your server
• Prompts and data stay private
• AES-256 encrypted results
• GDPR compliant

Grading

• 🥇 GOLD : ≥ 90% (robust)
• 🥈 SILVER : ≥ 75% (solid)
• 🥉 BRONZE : ≥ 50% (acceptable)
• ❌ FAIL : < 50% (insufficient)