Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Set Image(detail="high") for higher-fidelity image analysis.
detail parameter to "high" for high fidelity image analysis.
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIResponses
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
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",
)
],
)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run Agent
python image_input_high_fidelity.py
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