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This example demonstrates how to create an agent that generates images using DALL-E while streaming intermediate steps and events during the image creation process.

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Code

generate_image_with_intermediate_steps.py
from typing import Iterator

from agno.agent import Agent, RunOutputEvent
from agno.models.openai import OpenAIChat
from agno.tools.dalle import DalleTools
from agno.utils.common import dataclass_to_dict
from rich.pretty import pprint

image_agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    tools=[DalleTools()],
    description="You are an AI agent that can create images using DALL-E.",
    instructions=[
        "When the user asks you to create an image, use the DALL-E tool to create an image.",
        "The DALL-E tool will return an image URL.",
        "Return the image URL in your response in the following format: `![image description](image URL)`",
    ],
    markdown=True,
)

run_stream: Iterator[RunOutputEvent] = image_agent.run(
    "Create an image of a yellow siamese cat",
    stream=True,
    stream_intermediate_steps=True,
)
for chunk in run_stream:
    pprint(dataclass_to_dict(chunk, exclude={"messages"}))
    print("---" * 20)

​
Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno openai rich
3

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
4

Create a Python file

Create a Python file and add the above code.
touch generate_image_with_intermediate_steps.py
5

Run Agent

python generate_image_with_intermediate_steps.py
6

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