Code
basic.py
from agno.agent import Agent, RunOutput # noqa
from agno.models.meta import Llama
import asyncio
agent = Agent(
model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
markdown=True,
)
# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)
if __name__ == "__main__":
# --- Sync ---
agent.print_response("Share a 2 sentence horror story")
# --- Sync + Streaming ---
agent.print_response("Share a 2 sentence horror story", stream=True)
# --- Async ---
asyncio.run(agent.aprint_response("Share a 2 sentence horror story"))
# --- Async + Streaming ---
asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))
Usage
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\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
Save the code above as
basic.py, then run:python basic.py