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

# ![Chutes 标志](https://models.dev/logos/chutes.svg)Chutes

通过 Mastra 的模型路由器访问 13 个 Chutes 模型。系统会自动使用 `CHUTES_API_KEY` 环境变量完成身份验证。

更多信息请参阅[Chutes 文档](https://llm.chutes.ai)。

```bash
CHUTES_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: 'chutes/Nemotron-3-Nano-Omni-30B-TEE',
})

// 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)
}
```

> **信息:** Mastra 使用兼容 OpenAI 的 `/chat/completions` endpoint。部分 Provider 特有功能可能不可用，详情请参阅[Chutes 文档](https://llm.chutes.ai)。

## 模型

| Model                                           | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
| ----------------------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- |
| `chutes/deepseek-ai/DeepSeek-V3.2-TEE`          | 131K    |       |           |       |       |       | $1         | $1          |
| `chutes/deepseek-ai/DeepSeek-V4-Flash-0731-TEE` | 1.0M    |       |           |       |       |       | $0.14      | $0.28       |
| `chutes/google/gemma-4-31B-turbo-TEE`           | 131K    |       |           |       |       |       | $0.12      | $0.37       |
| `chutes/moonshotai/Kimi-K2.6-TEE`               | 262K    |       |           |       |       |       | $0.58      | $3          |
| `chutes/moonshotai/Kimi-K3-TEE`                 | 1.0M    |       |           |       |       |       | $3         | $15         |
| `chutes/Nemotron-3-Nano-Omni-30B-TEE`           | 131K    |       |           |       |       |       | $0.02      | $0.10       |
| `chutes/Qwen/Qwen3-235B-A22B-Thinking-2507-TEE` | 262K    |       |           |       |       |       | $0.30      | $1          |
| `chutes/Qwen/Qwen3-32B-TEE`                     | 41K     |       |           |       |       |       | $0.10      | $0.42       |
| `chutes/Qwen/Qwen3.5-397B-A17B-TEE`             | 262K    |       |           |       |       |       | $0.45      | $3          |
| `chutes/Qwen/Qwen3.6-27B-TEE`                   | 262K    |       |           |       |       |       | $0.30      | $2          |
| `chutes/unsloth/Mistral-Nemo-Instruct-2407-TEE` | 131K    |       |           |       |       |       | $0.02      | $0.10       |
| `chutes/zai-org/GLM-5.1-TEE`                    | 203K    |       |           |       |       |       | $0.98      | $3          |
| `chutes/zai-org/GLM-5.2-TEE`                    | 1.0M    |       |           |       |       |       | $1         | $4          |

## 高级配置

### 自定义请求头

```typescript
const agent = new Agent({
  id: 'custom-agent',
  name: 'custom-agent',
  model: {
    url: 'https://llm.chutes.ai/v1',
    id: 'chutes/Nemotron-3-Nano-Omni-30B-TEE',
    apiKey: process.env.CHUTES_API_KEY,
    headers: {
      'X-Custom-Header': 'value',
    },
  },
})
```

### 动态选择模型

```typescript
const agent = new Agent({
  id: 'dynamic-agent',
  name: 'Dynamic Agent',
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === 'complex'
    return useAdvanced ? 'chutes/zai-org/GLM-5.2-TEE' : 'chutes/Nemotron-3-Nano-Omni-30B-TEE'
  },
})
```