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This example demonstrates how to use high fidelity image analysis with an AI agent by setting the detail parameter.

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Code

image_input_high_fidelity.py
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIChat

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    markdown=True,
)

agent.print_response(
    "What's in these images",
    images=[
        Image(
            url="https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
            detail="high",
        )
    ],
)

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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

Install libraries

pip install -U agno
3

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
4

Create a Python file

Create a Python file and add the above code.
touch image_input_high_fidelity.py
5

Run Agent

python image_input_high_fidelity.py
6

Find All Cookbooks

Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub
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