Llama Image Input File

Attach a local image file to a Llama 4 Maverick agent and stream its description.

image_input_file.py
"""
Meta Image Input File
=====================

Cookbook example for `meta/llama/image_input_file.py`.
"""

from pathlib import Path

from agno.agent import Agent
from agno.media import Image
from agno.models.meta import Llama
from agno.utils.media import download_image

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

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

image_path = Path(__file__).parent.joinpath("sample.jpg")

download_image(
    url="https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg",
    output_path=str(image_path),
)

agent.print_response(
    "Tell me about this image?",
    images=[Image(filepath=image_path)],
    stream=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

Run the Example

Set up your virtual environment

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

Install dependencies

uv pip install -U agno llama-api-client

Export your Meta Llama API key

export LLAMA_API_KEY="your_llama_api_key_here"

Run the example

Save the code above as image_input_file.py, then run:

python image_input_file.py

Full source: cookbook/90_models/meta/llama/image_input_file.py