Feedback Loop Kit

Closed-loop learning from execution results to continuously improve agent performance.

Configuration

Feedback Loop Dashboard

Iteration #0
Collect user feedback800ms
Analyze feedback patterns600ms
Update performance metrics400ms
Adjust prompt templates500ms
Verify improvements700ms

Integration Code

import { createFeedbackLoop } from 'agent-tools-kit/learning'

const feedback = createFeedbackLoop({ source: 'outcome-based', realTime: true })

feedback.record({ taskId: 'task-123', outcome: 'success', score: 0.85 })

const improvements = await feedback.analyze()
console.log('Suggested changes:', improvements)

await feedback.apply({ promptRefinement: true, toolSelection: true })