docs/src/content/en/models/providers/lucidquery.mdx
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.
LUCIDQUERY_API_KEY=your-api-key
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);
}
:::info
Mastra uses the OpenAI-compatible /chat/completions endpoint. Some provider-specific features may not be available. Check the LucidQuery AI documentation for details.
:::
<ProviderModelsTable models={[ { "model": "lucidquery/lucidnova-rf1-100b", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": true, "contextWindow": 120000, "maxOutput": 8000, "inputCost": 2, "outputCost": 5 }, { "model": "lucidquery/lucidquery-nexus-coder", "imageInput": false, "audioInput": false, "videoInput": false, "toolUsage": true, "reasoning": true, "contextWindow": 250000, "maxOutput": 60000, "inputCost": 2, "outputCost": 5 } ]} />
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"
}
}
});
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";
}
});