🚀 PromptCrafter: AI-Powered Multi-Agent Prompt Engineering 🔥

PromptCrafter is an advanced multi-agent tool designed to generate high-quality prompts for any given task. Whether you're working with LLMs, automating workflows, or optimizing AI interactions, this tool ensures you get the perfect prompt—every time!

⚙️ How It Works

PromptCrafter operates with two intelligent agents working together:
1️⃣ Prompt Writer – Crafts an initial prompt tailored to the given task.
2️⃣ Prompt Reviewer – Analyzes and refines the prompt for clarity, completeness, and effectiveness.

Together, they create optimized prompts that maximize accuracy and efficiency in AI-driven applications.

Get started today and take your prompt engineering to the next level! 🚀

Key Features

• 🎯 Smart prompt generation based on your task description
• 🔄 Automated prompt review and optimization
• 🎨 Intuitive web interface built with Streamlit
• 🌡️ Temperature control for creativity adjustment
• 📋 Easy copy-paste functionality
• 🔒 Reliable error handling and user feedback

🚀 Installation Instructions

Prerequisites

• Python 3.9 or higher
• pip package manager

Step 1: Clone the Repository

git clone https://github.com/akhil-bot/PromptCrafter.git
cd PromptCrafter

Step 2: Create a Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows, use: venv\Scripts\activate

Step 3: Install Dependencies

pip install -r requirements.txt

💡 Usage Examples

Starting the Application

streamlit run main.py

Using the Interface

1. Configure Model Settings

   • Select any model provider(for now we support OpenAI)
   • Enter your API key
   • Choose your preferred model (e.g., GPT-3.5-turbo, GPT-4o)
   • Adjust the temperature slider for creativity control

2. Generate a Prompt

   Task: Create a prompt that helps generate creative story ideas
   
   Result: A well-structured prompt optimized for story generation
   

3. Review and Copy

   • Review the generated prompt
   • Use the copy button to copy the prompt to your clipboard
   • Use the prompt with your favorite AI model

🛠️ Project Structure

prompt-engineer/
├── agents/
│   └── Agents.py         # Agent implementations
├── graphs/
│   └── graph.py          # Workflow graph definition
├── models/
│   └── openai_models.py  # Model integrations
├── prompts/
│   └── prompts.py        # Prompt templates
├── states/
│   └── state.py          # State management
├── main.py               # Main application
└── README.md

🤝 Contribution Guidelines

We welcome contributions! Here's how you can help:

Reporting Issues

• Use the GitHub issue tracker
• Include detailed descriptions and steps to reproduce
• Add relevant tags and labels

Making Changes

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

Code Style

• Follow PEP 8 guidelines
• Include docstrings for new functions
• Add type hints where applicable
• Write unit tests for new features

🔮 Future Work

Advanced Prompting Styles

• Chain-of-Thought Integration: Implement specialized prompting patterns for complex reasoning tasks
• Zero/Few-Shot Templates: Add pre-built templates optimized for different learning approaches
• Task-Specific Patterns:
  • Code Generation prompts
  • Story Writing frameworks
  • Mathematical problem-solving structures
  • Data Analysis templates
  • Creative writing patterns
  • And many more...

LLM-Specific Optimizations

• Model-Aware Prompting: Customize prompts based on specific LLM architectures
  • GPT-4 optimized patterns
  • Claude-specific formatting
  • Gemini-enhanced templates
  • Llama/Mistral adaptations
• Context Window Optimization: Smart prompt compression for different model context limits

Enhanced Features

• Prompt Library: Build a collection of proven prompt patterns for common use cases
• Performance Analytics: Track and analyze prompt effectiveness across different models
• Human-in-the-Loop: Allow users to review and refine prompts
• Interactive Prompt Builder: Visual interface for constructing complex prompts
• A/B Testing: Compare different prompt versions for optimal results
• Multi-Language Support: Prompt templates optimized for different languages

Community Integration

• Template Sharing: Platform for users to share and rate prompt templates
• Collaborative Editing: Real-time collaboration on prompt engineering
• Version Control: Track prompt evolution and improvements
• Best Practices Database: Crowdsourced knowledge base for prompt engineering

📫 Contact

For any inquiries or support, please contact Akhil Maddala at [email protected].

You can also find more interesting projects on GitHub.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Streamlit for the amazing web framework
• The open-source community for their invaluable contributions

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Made with ❤️ by a passionate AI Engineer