> Discover all available pages from the documentation index: https://mastra.zisheng.pro/ko/llms.txt

# ![evroc logo](https://models.dev/logos/evroc.svg)에브로크

Mastra의 Model 라우터를 통해 16개의 evroc Model에 액세스하세요. 인증은 다음을 사용하여 자동으로 처리됩니다.`EVROC_API_KEY` environment variable.

자세한 내용은 다음에서 확인하세요.[evroc documentation](https://docs.evroc.com/products/think/overview.html).

```bash
EVROC_API_KEY=your-api-key
```

```typescript
import { Agent } from "@mastra/core/agent";

const agent = new Agent({
  id: "my-agent",
  name: "My Agent",
  instructions: "You are a helpful assistant",
  model: "evroc/KBLab/kb-whisper-large"
});

// Generate a response
const response = await agent.generate("Hello!");

// Stream a response
const stream = await agent.stream("Tell me a story");
for await (const chunk of stream) {
  console.log(chunk);
}
```

> **정보:** Mastra는 OpenAI 호환 `/chat/completions` 엔드포인트를 사용합니다. 일부 Provider별 기능은 제공되지 않을 수 있습니다. 자세한 내용은 [evroc 문서](https://docs.evroc.com/products/think/overview.html)를 확인하세요.

## Model

| Model                                           | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
| ----------------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- |
| `evroc/evroc/roc`                               | 262K    |       |           |       |       |       | $3         | $12         |
| `evroc/google/gemma-4-26B-A4B-it`               | 262K    |       |           |       |       |       | $0.14      | $0.57       |
| `evroc/intfloat/multilingual-e5-large-instruct` | 512     |       |           |       |       |       | $0.11      | $0.11       |
| `evroc/KBLab/kb-whisper-large`                  | 448     |       |           |       |       |       | $0.00      | $0.00       |
| `evroc/mistralai/Mistral-Medium-3.5-128B`       | 262K    |       |           |       |       |       | $2         | $7          |
| `evroc/mistralai/Voxtral-Small-24B-2507`        | 32K     |       |           |       |       |       | $0.00      | $0.00       |
| `evroc/moonshotai/Kimi-K2.6`                    | 262K    |       |           |       |       |       | $1         | $6          |
| `evroc/nvidia/Llama-3.3-70B-Instruct-FP8`       | 128K    |       |           |       |       |       | $1         | $1          |
| `evroc/openai/gpt-oss-120b`                     | 66K     |       |           |       |       |       | $0.23      | $0.92       |
| `evroc/openai/whisper-large-v3`                 | 448     |       |           |       |       |       | $0.00      | $0.00       |
| `evroc/openai/whisper-large-v3-turbo`           | 448     |       |           |       |       |       | $0.00      | $0.00       |
| `evroc/Qwen/Qwen3-Embedding-8B`                 | 41K     |       |           |       |       |       | $0.12      | $0.12       |
| `evroc/Qwen/Qwen3-Reranker-4B`                  | 32K     |       |           |       |       |       | $0.06      | —           |
| `evroc/Qwen/Qwen3-VL-30B-A3B-Instruct`          | 100K    |       |           |       |       |       | $0.23      | $0.92       |
| `evroc/Qwen/Qwen3.6-35B-A3B-FP8`                | 262K    |       |           |       |       |       | $0.34      | $1          |
| `evroc/zai-org/GLM-5.2`                         | 1.0M    |       |           |       |       |       | $1         | $6          |

## 고급 구성

### 맞춤 헤더

```typescript
const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://models.think.evroc.com/v1",
    id: "evroc/KBLab/kb-whisper-large",
    apiKey: process.env.EVROC_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});
```

### 동적 Model 선택

```typescript
const agent = new Agent({
  id: "dynamic-agent",
  name: "Dynamic Agent",
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === "complex";
    return useAdvanced
      ? "evroc/zai-org/GLM-5.2"
      : "evroc/KBLab/kb-whisper-large";
  }
});
```