Baseten
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);
}
Mastra uses the OpenAI-compatible /chat/completions
endpoint. Some provider-specific features may not be available. Check the Baseten documentation for details.
Models
Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
---|---|---|---|---|---|---|---|---|
baseten/moonshotai/Kimi-K2-Instruct-0905 | 262K | $0.60 | $3 | |||||
baseten/Qwen3/Qwen3-Coder-480B-A35B-Instruct | 262K | $0.38 | $2 |
Advanced Configuration
Custom Headers
const agent = new Agent({
name: "custom-agent",
model: {
url: "https://inference.baseten.co/v1/chat/completions",
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/Qwen3/Qwen3-Coder-480B-A35B-Instruct"
: "baseten/moonshotai/Kimi-K2-Instruct-0905";
}
});