High Fidelity Image Input

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

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",
        )
    ],
)

Usage

1. Create a virtual environment

   Open the Terminal and create a python virtual environment.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install libraries

   pip install -U agno
   
3. Export your OpenAI API key

   Mac/Linux

     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

   Mac

   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