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

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

透過 Mastra 的模型路由器存取 6 個 LLMTR 模型。系統會自動使用 `LLMTR_API_KEY` 環境變數完成身分驗證。

如需進一步了解，請參閱[LLMTR 文件](https://llmtr.com/docs)。

```bash
LLMTR_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: 'llmtr/gemma-4',
})

// 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[LLMTR 文件](https://llmtr.com/docs)。

## 模型

| Model                 | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
| --------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- |
| `llmtr/gemma-4`       | 33K     |       |           |       |       |       | $5         | $10         |
| `llmtr/magibu-11b-v8` | 8K      |       |           |       |       |       | —          | —           |
| `llmtr/medgemma-4b`   | 8K      |       |           |       |       |       | $3         | $5          |
| `llmtr/qwen3-6-35b`   | 16K     |       |           |       |       |       | $5         | $10         |
| `llmtr/sincap`        | 128K    |       |           |       |       |       | —          | —           |
| `llmtr/trendyol-7b`   | 33K     |       |           |       |       |       | —          | —           |

## 進階設定

### 自訂標頭

```typescript
const agent = new Agent({
  id: 'custom-agent',
  name: 'custom-agent',
  model: {
    url: 'https://llmtr.com/v1',
    id: 'llmtr/gemma-4',
    apiKey: process.env.LLMTR_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 ? 'llmtr/trendyol-7b' : 'llmtr/gemma-4'
  },
})
```