Access 7 Llama models through Mastra's model router. Authentication is handled automatically using the LLAMA_API_KEY environment variable.

Learn more in the Llama documentation.

.env

LLAMA_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: "llama/cerebras-llama-4-maverick-17b-128e-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 Llama documentation for details.

Models

7 available models

Advanced configuration

Custom headers

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://api.llama.com/compat/v1/",
    id: "llama/cerebras-llama-4-maverick-17b-128e-instruct",
    apiKey: process.env.LLAMA_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
      ? "llama/llama-4-scout-17b-16e-instruct-fp8"
      : "llama/cerebras-llama-4-maverick-17b-128e-instruct";
  }
});