Code
cookbook/11_models/mistral/image_bytes_input_agent.py
Copy
Ask AI
import requests
from agno.agent import Agent
from agno.media import Image
from agno.models.mistral.mistral import MistralChat
agent = Agent(
model=MistralChat(id="pixtral-12b-2409"),
markdown=True,
)
image_url = (
"https://tripfixers.com/wp-content/uploads/2019/11/eiffel-tower-with-snow.jpeg"
)
def fetch_image_bytes(url: str) -> bytes:
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
"Accept": "image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8",
"Accept-Language": "en-US,en;q=0.9",
}
response = requests.get(url, headers=headers)
response.raise_for_status()
return response.content
image_bytes_from_url = fetch_image_bytes(image_url)
agent.print_response(
"Tell me about this image.",
images=[
Image(content=image_bytes_from_url),
],
)
Usage
1
Set up your virtual environment
Copy
Ask AI
uv venv --python 3.12
source .venv/bin/activate
2
Set your API key
Copy
Ask AI
export MISTRAL_API_KEY=xxx
3
Install dependencies
Copy
Ask AI
uv pip install -U mistralai agno
4
Run Agent
Copy
Ask AI
python cookbook/11_models/mistral/image_bytes_input_agent.py