> ## Documentation Index
> Fetch the complete documentation index at: https://voice.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Auto Evals - Voice Agent API

> Optimize Voice.ai agents with Auto Evals. Simulate conversation scenarios, generate performance metrics, and use AI to automatically refine your agent prompts

<Badge type="warning">Alpha</Badge>

Simulate agent conversations and automatically generate evaluations that optimize your agent prompts. Test different configurations, measure performance across scenarios, and let AI automatically refine your prompts for better results.

<Info>
  **Early Access**: Auto Evals is currently in alpha. Reach out to join our early release developer program and get early access to this feature.
</Info>

## Overview

Auto Evals enables you to systematically test and improve your voice agents by simulating conversations across diverse scenarios. The system automatically evaluates agent performance and provides AI-powered suggestions to optimize prompts, improving agent behavior and response quality.

## Key Features

### Conversation Simulation

Test your agents across diverse scenarios and edge cases without manual intervention. Simulate realistic conversations to identify weaknesses and areas for improvement.

### Automated Evaluation

Generate comprehensive performance metrics and insights automatically. Track agent behavior, response quality, and conversation outcomes across multiple test scenarios.

### Prompt Optimization

Receive AI-powered suggestions to improve agent behavior and responses. The system analyzes evaluation results and recommends specific prompt modifications to enhance performance.

### Iterative Refinement

Continuously improve your agents based on evaluation results. Run multiple evaluation cycles, implement optimizations, and measure improvements over time.

## Use Cases

* **Quality Assurance** - Systematically test agents before deployment
* **Performance Tuning** - Optimize prompts for specific use cases
* **Regression Testing** - Ensure agent improvements don't break existing functionality
* **A/B Testing** - Compare different prompt configurations
* **Edge Case Discovery** - Identify and address conversation scenarios that need improvement

## Next Steps

* [Agent Quickstart](/docs/guides/voice-agents/quickstart) - Create your first agent
* [Knowledge Base](/docs/guides/voice-agents/knowledge-base) - Connect agents to your data
* [Analytics](/docs/guides/voice-agents/analytics) - Monitor agent performance
* [API Reference](/docs/api-reference) - Complete API documentation