image_input.py
Usage
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run Agent
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Pass images to agents for analysis and description.
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIResponses
from agno.tools.hackernews import HackerNewsTools
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
tools=[HackerNewsTools()],
markdown=True,
)
agent.print_response(
"Tell me about this image and give me the latest news about it.",
images=[
Image(
url="https://upload.wikimedia.org/wikipedia/commons/0/0c/GoldenGateBridge-001.jpg"
)
],
stream=True,
)
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 openai agno
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.py
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