Learn how to create AI agents that can generate and optimize solutions through iterative feedback.
A feedback loop workflow where LLM-generated outputs are evaluated, refined, and optimized iteratively to improve accuracy and relevance.
Install Package
First, install the PraisonAI Agents package:
Set API Key
Set your OpenAI API key as an environment variable in your terminal:
Create a file
Create a new file app.py
with the basic setup:
Start Agents
Type this in your terminal to run your agents:
Requirements
Evaluator-Optimizer pattern enables:
Generate solutions based on requirements and feedback.
Automatically assess solution quality and completeness.
Implement iterative improvement through feedback cycles.
Monitor and control the optimization process.
If generation is not improving:
If evaluation cycle is incorrect:
Learn about automatically created and managed AI agents
Explore lightweight, focused AI agents
For optimal results, ensure your generator instructions and evaluation criteria are clear and well-defined to achieve the desired optimization outcomes.