Optimizer

Automatically improve agent performance

Agents can be optimized automatically – tune prompts and settings for better results.

Quick Start

1. Simple Usage

   import { Agent, Optimizer } from 'praisonai';
   
   const agent = new Agent({
     instructions: 'You answer questions'
   });
   
   const optimizer = new Optimizer({
     agent,
     examples: [
       { input: 'What is 2+2?', expected: '4' },
       { input: 'Capital of France?', expected: 'Paris' }
     ]
   });
   
   await optimizer.run();
   // Agent instructions are now improved

2. With Configuration

   const optimizer = new Optimizer({
     agent,
     examples: myExamples,
     evaluate: (output, expected) => {
       return output.toLowerCase() === expected.toLowerCase();
     }
   });

User Interaction Flow

Configuration Levels

// Level 1: Array - Simple examples
const optimizer = new Optimizer({
  agent,
  examples: [
    { input: 'test', expected: 'result' }
  ]
});

// Level 2: Dict - With options
const optimizer = new Optimizer({
  agent,
  examples: myExamples,
  iterations: 5,
  targetScore: 0.9
});

// Level 3: Instance - Full control
const optimizer = new Optimizer({
  agent,
  examples: myExamples,
  iterations: 10,
  evaluate: customEvaluator,
  adjustments: ['instructions', 'temperature'],
  onIteration: (scores) => console.log(scores)
});

How It Works

1. Test: Run agent on examples
2. Score: Evaluate output quality
3. Adjust: Modify prompts/settings
4. Repeat: Continue until target score

API Reference

Best Practices

Related