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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

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

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Code

cookbook/models/meta/async_image_input.py
import asyncio
from agno.agent import Agent
from agno.media import Image
from agno.models.meta import Llama

async def main():
    agent = Agent(
        model=Llama(id="Llama-4-Scout-17B"),
        markdown=True,
    )

    await agent.aprint_response(
        "Describe the scene in this image asynchronously.",
        images=[Image(content=image_bytes)],
        stream=True,
    )

asyncio.run(main())

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Set your LLAMA API key

export LLAMA_API_KEY=YOUR_API_KEY
3

Install libraries

pip install llama-api-client agno
4

Run Agent

python cookbook/models/meta/async_image_input.py