MetaPrompt-R

MetaPrompt-R is a Level-5 self-optimizing prompt intelligence engine that automatically evolves and improves prompts using mutation, reinforcement scoring, and feedback loops.

Instead of manually engineering prompts, MetaPrompt-R enables AI to optimize AI, making it ideal for advanced LLM systems, developer tooling, and research in prompt optimization.

🚀 Key Capabilities

🔁 Prompt Mutation
🎯 Task-Aware Prompt Synthesis
🧪 Reinforcement-Based Scoring
🔄 Feedback Loops
🧠 Prompt Evolution Memory
🤗 Hugging Face–Ready Inference

🧠 System Architecture

Seed Prompt
   ↓
Prompt Parser
   ↓
Mutation Engine
   ↓
Task-Aware Synthesizer
   ↓
Prompt Scoring (Reinforcement)
   ↓
Feedback Loop
   ↓
Optimizer
   ↓
Prompt Memory (Evolution History)

📥 Input Format

{
  "prompt": "Explain what a neural network is.",
  "task": "qa",
  "task_hint": "Answer accurately and simply."
}

📤 Output Format

{
  "optimized_prompt": "In simple terms, explain what a neural network is. Task focus: Answer accurately and simply.",
  "score": 0.82,
  "accepted": true
}

🛠️ Installation & Usage

git clone https://huggingface.co/<your-username>/metaprompt-r
cd metaprompt-r
python inference.py

📁 Project Structure

metaprompt-r/
├── configs/
├── data/
├── src/
├── inference.py
├── evaluation.py
├── README.md
├── model_card.md
├── LICENSE
└── requirements.txt

🎯 Use Cases

Automated prompt engineering
LLM system optimization
AI developer tools
Meta-learning research

🔮 Future Improvements

LLM-based scoring
Prompt visualization
Multi-objective rewards
Gradio / Spaces UI

📜 License

Apache License 2.0

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