Documentation IndexFetch the complete documentation index at: /llms.txtUse this file to discover all available pages before exploring further.
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Send an OpenAI-style message dict with text and image_url parts as agent input.
""" Input Formats ============================= Input Formats. """ from agno.agent import Agent # --------------------------------------------------------------------------- # Create Agent # --------------------------------------------------------------------------- agent = Agent() # --------------------------------------------------------------------------- # Run Agent # --------------------------------------------------------------------------- if __name__ == "__main__": agent.print_response( { "role": "user", "content": [ {"type": "text", "text": "What's in this image?"}, { "type": "image_url", "image_url": { "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", }, }, ], }, stream=True, markdown=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 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 the example
input_formats.py
python input_formats.py
Was this page helpful?