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

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

透過 Mastra 的模型路由器存取 16 個 evroc 模型。系統會自動使用 `EVROC_API_KEY` 環境變數完成身分驗證。

如需進一步了解，請參閱[evroc 文件](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)
}
```

> **資訊:** Mastra 使用與 OpenAI 相容的 `/chat/completions` endpoint。部分 Provider 特有功能可能無法使用，詳情請參閱[evroc 文件](https://docs.evroc.com/products/think/overview.html)。

## 模型

| 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          |

## 進階設定

### 自訂標頭

```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',
    },
  },
})
```

### 動態選擇模型

```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'
  },
})
```