Vultr
Access 5 Vultr models through Mastra’s model router. Authentication is handled automatically using the VULTR_API_KEY
environment variable.
Learn more in the Vultr documentation .
VULTR_API_KEY=your-api-key
import { Agent } from "@mastra/core";
const agent = new Agent({
name: "my-agent",
instructions: "You are a helpful assistant",
model: "vultr/deepseek-r1-distill-llama-70b"
});
// 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 Vultr documentation for details.
Models
Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
---|---|---|---|---|---|---|---|---|
vultr/deepseek-r1-distill-llama-70b | 128K | $0.20 | $0.20 | |||||
vultr/deepseek-r1-distill-qwen-32b | 128K | $0.20 | $0.20 | |||||
vultr/gpt-oss-120b | 128K | $0.20 | $0.20 | |||||
vultr/kimi-k2-instruct | 128K | $0.20 | $0.20 | |||||
vultr/qwen2.5-coder-32b-instruct | 128K | $0.20 | $0.20 |
Advanced Configuration
Custom Headers
const agent = new Agent({
name: "custom-agent",
model: {
url: "https://api.vultrinference.com/v1",
id: "vultr/deepseek-r1-distill-llama-70b",
apiKey: process.env.VULTR_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
? "vultr/qwen2.5-coder-32b-instruct"
: "vultr/deepseek-r1-distill-llama-70b";
}
});