Professional Prompt Improver with Groq AI An Apify Actor that takes your basic prompt and transforms it into a detailed, professional, and highly effective prompt optimized for your target AI model using Groq AI. ## 🌟 Features - Multi-Model Support: Optimizes prompts for popular AI models including: - GPT-4 & GPT-3.5 Turbo (OpenAI) - Claude 3 (Opus, Sonnet, Haiku) (Anthropic) - Gemini Pro & Ultra (Google) - Llama 3 (Meta) - Mixtral (Mistral AI) - Intelligent Optimization: Uses Groq AI to craft prompts that: - Maintain your original intent and goals - Add relevant context and background - Include clear, specific instructions - Define desired output format and structure - Leverage model-specific strengths - Follow best practices for each model - Model-Aware: Understands each model's characteristics: - Context window sizes - Strengths and capabilities - Best practices and optimization techniques ## 🚀 Quick Start ### Running Locally 1. Install dependencies: bash pip install -r requirements.txt 2. Run the Actor: bash apify run ### Deploy to Apify 1. Log in to Apify: bash apify login 2. Push to Apify Platform: bash apify push ## 📝 Input The Actor accepts the following input parameters: | Field | Type | Required | Description | |-------|------|----------|-------------| | user_prompt | string | Yes | Your original prompt that you want to improve | | target_model | string | Yes | The AI model you plan to use (e.g., "gpt-4", "claude-3-opus") | | groq_api_key | string | Yes | Your Groq API key (get one here) | ### Example Input json { "user_prompt": "Write a blog post about AI", "target_model": "gpt-4", "groq_api_key": "gsk_..." } ## 📤 Output The Actor outputs a dataset with the following structure: json { "original_prompt": "Write a blog post about AI", "improved_prompt": "You are an expert technology writer specializing in artificial intelligence...", "target_model": "gpt-4", "model_characteristics": { "strengths": "advanced reasoning, complex tasks, creative writing, code generation", "context_window": "8K-32K tokens", "best_practices": "Use clear instructions, provide examples, break complex tasks into steps" }, "prompt_length": 1247, "improvement_ratio": 45.6, "timestamp": "2025-12-12T10:12:26.000Z" } ## 🎯 Use Cases - Content Creation: Transform simple content requests into detailed briefs - Code Generation: Create comprehensive coding prompts with examples and constraints - Analysis Tasks: Craft detailed analytical prompts with specific frameworks - Creative Writing: Develop rich creative prompts with style guides and context - Research: Build thorough research prompts with methodology and scope ## 🔧 How It Works 1. Input Processing: Receives your basic prompt and target model selection 2. Model Analysis: Identifies the characteristics and best practices for your chosen model 3. Prompt Engineering: Uses Groq AI (Mixtral-8x7B) to craft an optimized prompt that: - Expands on your original idea - Adds relevant context and structure - Incorporates model-specific optimizations - Includes clear instructions and formatting 4. Output Generation: Returns the improved prompt ready to use with your target model ## 📊 Supported Models ### OpenAI - GPT-4: Advanced reasoning, complex tasks (8K-32K tokens) - GPT-3.5 Turbo: Fast responses, general tasks (4K-16K tokens) ### Anthropic - Claude 3 Opus: Nuanced understanding, long-form content (200K tokens) - Claude 3 Sonnet: Balanced performance, creative tasks (200K tokens) - Claude 3 Haiku: Speed and efficiency (200K tokens) ### Google - Gemini Pro: Multimodal understanding, reasoning (32K tokens) - Gemini Ultra: Advanced reasoning, complex problem-solving (32K tokens) ### Meta - Llama 3 70B: Strong reasoning, code generation (8K tokens) - Llama 3 8B: Efficient, fast inference (8K tokens) ### Mistral AI - Mixtral 8x7B: Mixture of experts, multilingual (32K tokens) ## 🔑 Getting a Groq API Key 1. Visit console.groq.com 2. Sign up or log in 3. Navigate to API Keys section 4. Create a new API key 5. Copy and use it in the Actor input ## 📁 Project Structure text .actor/ ├── actor.json # Actor configuration ├── input_schema.json # Input validation schema └── output_schema.json # Output data schema src/ └── main.py # Main Actor logic requirements.txt # Python dependencies Dockerfile # Container definition ## 🛠️ Technical Details - Runtime: Python 3.11+ - Framework: Apify SDK for Python - AI Provider: Groq AI (using Mixtral-8x7B-32768) - Temperature: 0.7 (balanced creativity and consistency) - Max Tokens: 2048 (detailed prompts) ## 📚 Resources - Apify Platform Documentation - Apify Python SDK - Groq AI Documentation - Prompt Engineering Guide ## 💡 Tips for Best Results 1. Be Specific: Even basic prompts benefit from some specificity 2. Choose the Right Model: Select the model that matches your task complexity 3. Review Output: The improved prompt is a starting point - customize as needed 4. Iterate: Run multiple times with different models to compare approaches 5. Combine: Use improved prompts as templates for similar tasks ## 🤝 Support - Join Apify Discord - Apify Documentation - Report Issues ## 📄 License This Actor is provided as-is under the Apache 2.0 License. --- Built with ❤️ using Apify and Groq AI