Meta

Use Meta Llama models with Agno agents.

Meta offers a suite of powerful multi-modal language models known for their strong performance across a wide range of tasks, including superior text understanding and visual intelligence.

We recommend experimenting to find the best-suited model for your use-case. Here are some general recommendations:

• Llama-4-Scout-17B: Excellent performance for most general tasks, including multi-modal scenarios.
• Llama-3.3-70B: Powerful instruction-following model for complex reasoning tasks.

Explore all the models here.

Authentication

Set your LLAMA_API_KEY environment variable:

bash Mac export LLAMA_API_KEY=YOUR_API_KEY  bash Windows setx     LLAMA_API_KEY YOUR_API_KEY

Example

Use Llama with your Agent:

agent.py

from agno.agent import Agent
from agno.models.meta import Llama

agent = Agent(
    model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
    markdown=True
)

agent.print_response("Share a 2 sentence horror story.")

View more examples here.

Parameters

Parameter	Type	Default	Description
id	str	"meta-llama/Meta-Llama-3.1-405B-Instruct"	The id of the Meta model to use
name	str	"MetaLlama"	The name of the model
provider	str	"Meta"	The provider of the model
api_key	Optional[str]	None	The API key for Meta (defaults to META_API_KEY env var)
base_url	str	"https://api.llama-api.com"	The base URL for the Meta API

OpenAI-like Parameters

LlamaOpenAI supports all parameters from OpenAI Like.

Resources

• Meta AI Models
• Llama API Documentation