Access 5 Privatemode AI models through Mastra's model router. Authentication is handled automatically using the PRIVATEMODE_API_KEY environment variable.

Learn more in the Privatemode AI documentation.

.env

PRIVATEMODE_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: "privatemode-ai/gemma-3-27b"
});

// 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 Privatemode AI documentation for details.

Models

Model Context Tools Reasoning Image Audio Video Input $/1M Output $/1M
privatemode-ai/gemma-3-27b 128K — —
privatemode-ai/gpt-oss-120b 128K — —
privatemode-ai/qwen3-coder-30b-a3b 128K — —
privatemode-ai/qwen3-embedding-4b 32K — —
privatemode-ai/whisper-large-v3 — — —

5 available models

Advanced configuration

Custom headers

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "http://localhost:8080/v1",
    id: "privatemode-ai/gemma-3-27b",
    apiKey: process.env.PRIVATEMODE_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});

Dynamic model selection

const agent = new Agent({
  id: "dynamic-agent",
  name: "Dynamic Agent",
  model: ({ requestContext }) => {
    const useAdvanced = requestContext.task === "complex";
    return useAdvanced
      ? "privatemode-ai/whisper-large-v3"
      : "privatemode-ai/gemma-3-27b";
  }
});