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

# ![Regolo AI ロゴ](https://models.dev/logos/regolo-ai.svg)Regolo AI

Mastra のモデルルーターを通じて 18 個の Regolo AI モデルを利用できます。認証には `REGOLO_API_KEY` 環境変数が自動的に使用されます。

詳しくは、[Regolo AI のドキュメント](https://docs.regolo.ai/)を参照してください。

```bash
REGOLO_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: "regolo-ai/apertus-70b"
});

// 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);
}
```

> **情報:** Mastra は OpenAI 互換の `/chat/completions` endpoint を使用します。一部の Provider 固有機能は利用できない場合があります。詳しくは、[Regolo AI のドキュメント](https://docs.regolo.ai/)を確認してください。

## モデル

| Model                               | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
| ----------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- |
| `regolo-ai/apertus-70b`             | 30K     |       |           |       |       |       | $0.46      | $2          |
| `regolo-ai/brick-complexity-pro`    | 100K    |       |           |       |       |       | $0.12      | $0.46       |
| `regolo-ai/brick-v1-beta`           | 100K    |       |           |       |       |       | —          | —           |
| `regolo-ai/deepseek-ocr-2`          | 4K      |       |           |       |       |       | —          | —           |
| `regolo-ai/faster-whisper-large-v3` | 448     |       |           |       |       |       | —          | —           |
| `regolo-ai/gemma4-31b`              | 100K    |       |           |       |       |       | $0.46      | $2          |
| `regolo-ai/glm5.2`                  | 96K     |       |           |       |       |       | $2         | $6          |
| `regolo-ai/gpt-oss-120b`            | 128K    |       |           |       |       |       | $1         | $4          |
| `regolo-ai/gpt-oss-20b`             | 128K    |       |           |       |       |       | $0.40      | $2          |
| `regolo-ai/llama-3.3-70b-instruct`  | 128K    |       |           |       |       |       | $0.60      | $3          |
| `regolo-ai/mistral-small-4-119b`    | 256K    |       |           |       |       |       | $0.75      | $3          |
| `regolo-ai/qwen-image`              | 8K      |       |           |       |       |       | $0.50      | $2          |
| `regolo-ai/qwen3-coder-next`        | 262K    |       |           |       |       |       | $0.30      | $1          |
| `regolo-ai/qwen3-embedding-8b`      | 33K     |       |           |       |       |       | $0.10      | $0.10       |
| `regolo-ai/qwen3-reranker-4b`       | 33K     |       |           |       |       |       | $0.12      | $0.12       |
| `regolo-ai/qwen3.5-122b`            | 262K    |       |           |       |       |       | $0.90      | $4          |
| `regolo-ai/qwen3.5-9b`              | 262K    |       |           |       |       |       | $0.15      | $0.60       |
| `regolo-ai/qwen3.6-27b`             | 120K    |       |           |       |       |       | $0.58      | $2          |

## 高度な設定

### カスタムヘッダー

```typescript
const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.regolo.ai/v1",
    id: "regolo-ai/apertus-70b",
    apiKey: process.env.REGOLO_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});
```

### 動的なモデル選択

```typescript
const agent = new Agent({
  id: "dynamic-agent",
  name: "Dynamic Agent",
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === "complex";
    return useAdvanced
      ? "regolo-ai/qwen3.6-27b"
      : "regolo-ai/apertus-70b";
  }
});
```