Agent Input as Message Object

This example demonstrates how to provide input to an agent using the Message object format for structured multimodal content.

Code

input_as_message.py

from agno.agent import Agent, Message
from agno.models.openai import OpenAIChat

Agent(model=OpenAIChat(id="gpt-5-mini")).print_response(
    Message(
        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,
    show_message=False
)

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 openai
   
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 input_as_message.py
   
5. Run Agent

   Mac

   python input_as_message.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