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roanbrasil
/
devops-gitops-corpus

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## When to Use Viteval
Consider using Viteval if:
- Your team already uses Viteval for other projects
- You need Viteval-specific features not yet available in VoltAgent
- You're migrating from a Viteval-based evaluation system
## Prerequisites
Before starting, make sure you have:
- A VoltAgent project set up with `@voltagent/core`
- Node.js 22+ installed
- An AI provider configured (OpenAI, Anthropic, etc.)
## Installation
Install Viteval as a development dependency:
<Tabs>
<TabItem value="npm" label="npm">
```bash
npm install viteval --save-dev
```
</TabItem>
<TabItem value="yarn" label="yarn">
```bash
yarn add viteval --dev
```
</TabItem>
<TabItem value="pnpm" label="pnpm">
```bash
pnpm add viteval --save-dev
```
</TabItem>
</Tabs>
## Quick Setup
### 1. Initialize Viteval
```bash
viteval init
```
This will create a `viteval.config.ts` and `viteval.setup.ts` file in your project root.
### 2. Viteval Setup File
Uncomment the setup file content to use env variables or remove it if you don't need it:
```typescript
// viteval.setup.ts
import dotenv from "dotenv";
dotenv.config({ path: "./.env", quiet: true });
```
### 3. Configure Viteval (Optional)
Update the Viteval configuration file:
```typescript
// viteval.config.ts
import { defineConfig } from "viteval/config";
export default defineConfig({
reporter: "console",
eval: {
include: ["src/**/*.eval.ts"],
setupFiles: ["./viteval.setup.ts"],
},
});
```
### 4. Create Your Agent
First, create your VoltAgent agent:
```typescript
// src/agents/support.ts
import { Agent } from "@voltagent/core";
import { openai } from "@ai-sdk/openai";
export const supportAgent = new Agent({
name: "Customer Support",
instructions:
"You are a helpful customer support agent. Provide accurate and friendly assistance.",
model: openai("gpt-4o-mini"),
});
```
### 5. Create Test Dataset
Define your test cases in a dataset file:
```typescript