#!/usr/bin/env python3
"""
Example usage of the Prompt Optimizer MCP
"""
from prompt_optimizer import PromptOptimizer, OptimizationStrategy
def main():
optimizer = PromptOptimizer()
# Example 1: Analyze a vague prompt
print("=== Example 1: Analyzing a vague prompt ===")
vague_prompt = "write something about AI"
analysis = optimizer.analyze_prompt(vague_prompt)
print(f"Prompt: {vague_prompt}")
print(f"Score: {analysis.score}")
print(f"Issues: {analysis.issues}")
print(f"Suggestions: {analysis.suggestions}")
print()
# Example 2: Optimize for clarity
print("=== Example 2: Optimizing for clarity ===")
result = optimizer.optimize_prompt(vague_prompt, OptimizationStrategy.CLARITY)
print(f"Original: {result['original']}")
print(f"Optimized: {result['optimized']}")
print(f"Improvements: {result['improvements']}")
print()
# Example 3: Chain of thought optimization
print("=== Example 3: Chain of thought optimization ===")
complex_prompt = "explain how machine learning works"
result = optimizer.optimize_prompt(complex_prompt, OptimizationStrategy.CHAIN_OF_THOUGHT)
print(f"Original: {result['original']}")
print(f"Optimized: {result['optimized']}")
print()
# Example 4: Role-based optimization
print("=== Example 4: Role-based optimization ===")
coding_prompt = "help me debug this Python code"
result = optimizer.optimize_prompt(coding_prompt, OptimizationStrategy.ROLE_BASED)
print(f"Original: {result['original']}")
print(f"Optimized: {result['optimized']}")
print()
if __name__ == "__main__":
main()
