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Documentation Index

Fetch the complete documentation index at: https://agno-v2-shaloo-ai-support-link.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

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Code

cookbook/11_models/meta/llama/async_basic.py
import asyncio

from agno.agent import Agent, RunOutput  # noqa
from agno.models.meta import Llama

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

# Get the response in a variable
# run: RunOutput = asyncio.run(agent.arun("Share a 2 sentence horror story"))
# print(run.content)

# Print the response in the terminal
asyncio.run(agent.aprint_response("Share a 2 sentence horror story"))

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Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set your LLAMA API key

export LLAMA_API_KEY=YOUR_API_KEY
3

Install dependencies

uv pip install llama-api-client agno
4

Run Agent

python cookbook/11_models/meta/llama/async_basic.py