Multi-Agent Prompt Optimization System

Overview

This project is an advanced system for optimizing AI prompts using multiple specialized agents. It aims to enhance prompt clarity, effectiveness, and adaptability across various languages and cultures.

Key Components

1. PromptOptimizer: Initial optimization and enhancement of prompts
2. PromptAnalyzer: Analysis and evaluation of prompts
3. PromptEnhancer: Further optimization based on analysis results
4. ContentModerator: Content review for safety and compliance
5. PromptEvaluationPanel: Multi-expert evaluation of optimized prompts
6. PromptOptimizationSystem: Comprehensive prompt optimization system
7. LocalizationAdapter: Adaptation of prompts for different languages and cultures
8. InteractionSimulator: Simulation of user interactions with optimized prompts

Approximate workflow

1. User inputs initial prompt
2. ContentModerator checks for safety
3. PromptAnalyzer evaluates the prompt
4. PromptOptimizer enhances the prompt
5. PromptEnhancer refines based on analysis
6. LocalizationAdapter adapts for locale/languages
7. InteractionSimulator tests user scenarios
8. PromptEvaluationPanel provides expert assessment
9. PromptOptimizationSystem finalizes optimization
10. System outputs the optimized prompt

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approximate workflow diagram

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Functions of agents