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Access 2 Baseten models through Mastra's model router. Authentication is handled automatically using the BASETEN_API_KEY environment variable.

Learn more in the Baseten documentation.

BASETEN_API_KEY=your-api-key
import { Agent } from "@mastra/core";

const agent = new Agent({
name: "my-agent",
instructions: "You are a helpful assistant",
model: "baseten/Qwen3/Qwen3-Coder-480B-A35B-Instruct",
});

// 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);
}
OpenAI Compatibility

Mastra uses the OpenAI-compatible /chat/completions endpoint. Some provider-specific features may not be available. Check the Baseten documentation for details.

Models

ModelImageAudioVideoToolsStreamingContext Window
baseten/moonshotai/Kimi-K2-Instruct-0905262,144
baseten/Qwen3/Qwen3-Coder-480B-A35B-Instruct262,144

Advanced Configuration

Custom Headers

const agent = new Agent({
name: "custom-agent",
model: {
url: "https://inference.baseten.co/v1",
modelId: "Qwen3/Qwen3-Coder-480B-A35B-Instruct",
apiKey: process.env.BASETEN_API_KEY,
headers: {
"X-Custom-Header": "value",
},
},
});

Dynamic Model Selection

const agent = new Agent({
name: "dynamic-agent",
model: ({ runtimeContext }) => {
const useAdvanced = runtimeContext.task === "complex";
return useAdvanced
? "baseten/moonshotai/Kimi-K2-Instruct-0905"
: "baseten/Qwen3/Qwen3-Coder-480B-A35B-Instruct";
},
});