Regolo AI

Access 13 Regolo AI models through Mastra's model router. Authentication is handled automatically using the REGOLO_API_KEY environment variable.

Learn more in the Regolo AI documentation.

.env

REGOLO_API_KEY=your-api-key

src/mastra/agents/my-agent.ts

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

const agent = new Agent({
  id: "my-agent",
  name: "My Agent",
  instructions: "You are a helpful assistant",
  model: "regolo-ai/gpt-oss-120b"
});

// 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 Regolo AI documentation for details.

Models

13 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
regolo-ai/gpt-oss-120b	128K						$1	$4
regolo-ai/gpt-oss-20b	128K						$0.40	$2
regolo-ai/llama-3.1-8b-instruct	120K						$0.05	$0.25
regolo-ai/llama-3.3-70b-instruct	128K						$0.60	$3
regolo-ai/minimax-m2.5	190K						$0.80	$4
regolo-ai/mistral-small-4-119b	256K						$0.75	$3
regolo-ai/mistral-small3.2	120K						$0.50	$2
regolo-ai/qwen-image	8K						$0.50	$2
regolo-ai/qwen3-coder-next	262K						$0.30	$1
regolo-ai/qwen3-embedding-8b	33K						$0.10	$0.10
regolo-ai/qwen3-reranker-4b	33K						$0.12	$0.12
regolo-ai/qwen3.5-122b	262K						$0.90	$4
regolo-ai/qwen3.5-9b	262K						$0.15	$0.60

Advanced configuration

Custom headers

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.regolo.ai/v1",
    id: "regolo-ai/gpt-oss-120b",
    apiKey: process.env.REGOLO_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});

Dynamic model selection

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: "dynamic-agent",
  name: "Dynamic Agent",
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === "complex";
    return useAdvanced
      ? "regolo-ai/qwen3.5-9b"
      : "regolo-ai/gpt-oss-120b";
  }
});