Access 2 LucidQuery AI models through Mastra's model router. Authentication is handled automatically using the `LUCIDQUERY_API_KEY` environment variable.

Learn more in the [LucidQuery AI documentation](https://lucidquery.com/).

.env

```bash
LUCIDQUERY_API_KEY=your-api-key
```

src/mastra/agents/my-agent.ts

```typescript
import { Agent } from "@mastra/core/agent";

const agent = new Agent({
  id: "my-agent",
  name: "My Agent",
  instructions: "You are a helpful assistant",
  model: "lucidquery/lucidnova-rf1-100b"
});

// 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);
}
```

Mastra uses the OpenAI-compatible `/chat/completions` endpoint. Some provider-specific features may not be available. Check the [LucidQuery AI documentation](https://lucidquery.com/) for details.

## Models

| Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| `lucidquery/lucidnova-rf1-100b` | 120K |  |  |  |  |  | $2 | $5 |
| `lucidquery/lucidquery-nexus-coder` | 250K |  |  |  |  |  | $2 | $5 |

2 available models

## Advanced configuration

### Custom headers

src/mastra/agents/my-agent.ts

```typescript
const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://lucidquery.com/api/v1",
    id: "lucidquery/lucidnova-rf1-100b",
    apiKey: process.env.LUCIDQUERY_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});
```

### Dynamic model selection

src/mastra/agents/my-agent.ts

```typescript
const agent = new Agent({
  id: "dynamic-agent",
  name: "Dynamic Agent",
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === "complex";
    return useAdvanced
      ? "lucidquery/lucidquery-nexus-coder"
      : "lucidquery/lucidnova-rf1-100b";
  }
});
```