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

Access 13 Regolo AI models through Mastra's model router. Authentication is handled automatically using the `REGOLO_API_KEY` environment variable.

Learn more in the [Regolo AI documentation](https://docs.regolo.ai/).

```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/gpt-oss-120b"
});

// 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);
}
```

> **Info:** Mastra uses the OpenAI-compatible `/chat/completions` endpoint. Some provider-specific features may not be available. Check the [Regolo AI documentation](https://docs.regolo.ai/) for details.

## Models

| Model                              | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
| ---------------------------------- | ------- | ----- | --------- | ----- | ----- | ----- | ---------- | ----------- |
| `regolo-ai/gpt-oss-120b`           | 128K    |       |           |       |       |       | $1         | $4          |
| `regolo-ai/gpt-oss-20b`            | 128K    |       |           |       |       |       | $0.40      | $2          |
| `regolo-ai/llama-3.1-8b-instruct`  | 120K    |       |           |       |       |       | $0.05      | $0.25       |
| `regolo-ai/llama-3.3-70b-instruct` | 128K    |       |           |       |       |       | $0.60      | $3          |
| `regolo-ai/minimax-m2.5`           | 190K    |       |           |       |       |       | $0.80      | $4          |
| `regolo-ai/mistral-small-4-119b`   | 256K    |       |           |       |       |       | $0.75      | $3          |
| `regolo-ai/mistral-small3.2`       | 120K    |       |           |       |       |       | $0.50      | $2          |
| `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       |

## Advanced configuration

### Custom headers

```typescript
const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.regolo.ai/v1",
    id: "regolo-ai/gpt-oss-120b",
    apiKey: process.env.REGOLO_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});
```

### Dynamic model selection

```typescript
const agent = new Agent({
  id: "dynamic-agent",
  name: "Dynamic Agent",
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === "complex";
    return useAdvanced
      ? "regolo-ai/qwen3.5-9b"
      : "regolo-ai/gpt-oss-120b";
  }
});
```