> ## 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 Team

> Legacy team example that refines a prompt and generates an image with DalleTools.

This legacy team example refines a prompt with one member and generates the image with DALL-E in another.

<Warning>
  DALL-E models are deprecated. This `DalleTools` example is retained as a legacy reference and no longer runs against the current OpenAI API. Use `OpenAITools` with GPT Image 2 in [Image Generation Agent](/models/providers/native/openai/responses/usage/image-generation-agent).
</Warning>

## Code

```python generate_image_with_team.py theme={null}
from typing import Iterator

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

image_generator = Agent(
    name="Image Creator",
    role="Generate images using DALL-E",
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[DalleTools()],
    instructions=[
        "Use the DALL-E tool to create high-quality images",
        "Return image URLs in markdown format: `![description](URL)`",
    ],
)

prompt_engineer = Agent(
    name="Prompt Engineer",
    role="Optimize and enhance image generation prompts",
    model=OpenAIResponses(id="gpt-5.2"),
    instructions=[
        "Enhance user prompts for better image generation results",
        "Consider artistic style, composition, and technical details",
    ],
)

# Create a team for collaborative image generation
image_team = Team(
    name="Image Generation Team",
    model=OpenAIResponses(id="gpt-5.2"),
    members=[prompt_engineer, image_generator],
    instructions=[
        "Generate high-quality images from user prompts.",
        "Prompt Engineer: First enhance and optimize the user's prompt.",
        "Image Creator: Generate images using the enhanced prompt with DALL-E.",
    ],
    markdown=True,
)

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

## Current Alternative

The source above uses removed DALL-E models and is preserved for reference. Follow [Image Generation Agent](/models/providers/native/openai/responses/usage/image-generation-agent) for the current `OpenAITools` and GPT Image 2 pattern before adapting the two-member team.