Reflection Agent

Concepts: Reflection, Iterative Improvement, Self-Assessment, Agent Orchestration, Optimization

This example demonstrates how to create a reflection agent capable of evaluating AI-generated outputs, identifying areas for improvement, and iteratively refining the results. By orchestrating reflection loops and leveraging smaller, more affordable models, the agent ensures outputs meet high-quality standards and improves accuracy when solving complex math problems through continuous self-assessment and optimization.