"""
Self-Reflection Optimization Patterns Example

This example demonstrates self-reflection capabilities using PraisonAI's
built-in reflection features for iterative improvement and quality optimization.
"""

from praisonaiagents import Agent, Task
from praisonaiagents.agents import AgentTeam
from praisonaiagents.tools import internet_search

print("=== Self-Reflection Optimization Patterns Example ===\n")

# Create self-reflecting agent with built-in reflection capabilities
reflection_agent = Agent(
    name="Self-Reflecting Agent",
    role="Self-Improving Researcher",
    goal="Demonstrate self-reflection and iterative improvement patterns",
    backstory="Expert researcher with strong self-reflection and continuous improvement capabilities",
    tools=[internet_search],
    reflection=True)

# Create task that benefits from self-reflection
reflection_task = Task(
    description="""Research and analyze the future of artificial intelligence:
    1. Investigate current AI trends and breakthrough technologies
    2. Analyze potential impacts on society and industry
    3. Provide well-reasoned predictions for the next 5 years
    4. Ensure analysis is comprehensive, accurate, and well-structured
    
    Use self-reflection to improve the quality and completeness of your analysis.""",
    expected_output="Comprehensive AI future analysis with high quality through self-reflection",
    agent=reflection_agent
)

# Run with self-reflection optimization
if __name__ == "__main__":
    print("Starting self-reflection optimization demonstration...")
    agents = AgentTeam(
        agents=[reflection_agent],
        tasks=[reflection_task],
        process="sequential",
        output="verbose",
    )
    result = agents.start()

    print(f"\nSelf-Reflection Result: {str(result)[:200]}...")
    print("\n✅ Self-reflection optimization complete!")
    print("Agent demonstrated iterative improvement through built-in self-reflection capabilities.")