> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Image Generation Agent

> Use an OpenAIResponses agent with OpenAITools and GPT Image 2 to generate a photorealistic image and save it to disk.

## Code

```python image_generation_agent.py theme={null}
"""Example: Using the OpenAITools Toolkit for Image Generation

This script demonstrates how to use the `OpenAITools` toolkit with GPT Image 2 in an Agno Agent.

Example prompts to try:
- "Create a surreal painting of a floating city in the clouds at sunset"
- "Generate a photorealistic image of a cozy coffee shop interior"
- "Design a cute cartoon mascot for a tech startup"
- "Create an artistic portrait of a cyberpunk samurai"

Run `uv pip install openai agno` to install the necessary dependencies.
"""

import base64

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.tools.openai import OpenAITools
from agno.utils.media import save_base64_data

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[OpenAITools(image_model="gpt-image-2")],
    markdown=True,
)

response = agent.run(
    "Generate a photorealistic image of a cozy coffee shop interior",
)

if response.images and response.images[0].content:
    image_base64 = base64.b64encode(response.images[0].content).decode("utf-8")
    save_base64_data(image_base64, "tmp/coffee_shop.png")

```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Set your API key">
    ```bash theme={null}
    export OPENAI_API_KEY=xxx
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U openai agno
    ```
  </Step>

  <Step title="Run Agent">
    Save the code above as `image_generation_agent.py`, then run:

    ```bash theme={null}
    python image_generation_agent.py
    ```
  </Step>
</Steps>