Llama
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 .
LLAMA_API_KEY=your-api-keyimport { Agent } from "@mastra/core";
const agent = new 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
| Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
|---|---|---|---|---|---|---|---|---|
llama/llama-3.3-8b-instruct | 128K | — | — | |||||
llama/llama-4-maverick-17b-128e-instruct-fp8 | 128K | — | — | |||||
llama/llama-3.3-70b-instruct | 128K | — | — | |||||
llama/llama-4-scout-17b-16e-instruct-fp8 | 128K | — | — | |||||
llama/groq-llama-4-maverick-17b-128e-instruct | 128K | — | — | |||||
llama/cerebras-llama-4-scout-17b-16e-instruct | 128K | — | — | |||||
llama/cerebras-llama-4-maverick-17b-128e-instruct | 128K | — | — |
Advanced Configuration
Custom Headers
const agent = new Agent({
name: "custom-agent",
model: {
url: "https://api.llama.com/compat/v1/chat/completions",
modelId: "cerebras-llama-4-maverick-17b-128e-instruct",
apiKey: process.env.LLAMA_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
? "llama/cerebras-llama-4-maverick-17b-128e-instruct"
: "llama/cerebras-llama-4-scout-17b-16e-instruct";
}
});