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Code

cookbook/os/interfaces/whatsapp/image_generation_tools.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os.app import AgentOS
from agno.os.interfaces.whatsapp import Whatsapp
from agno.tools.openai import OpenAITools

agent_db = SqliteDb(db_file="tmp/persistent_memory.db")
image_agent = Agent(
    id="image_generation_tools",
    db=agent_db,
    model=OpenAIResponses(id="gpt-5.2"),
    tools=[OpenAITools(image_model="gpt-image-1")],
    markdown=True,
    debug_mode=True,
    add_history_to_context=True,
)

agent_os = AgentOS(
    agents=[image_agent],
    interfaces=[Whatsapp(agent=image_agent)],
)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="image_generation_tools:app", reload=True)

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Usage

1

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
2

Set Environment Variables

export WHATSAPP_ACCESS_TOKEN=your_whatsapp_access_token
export WHATSAPP_PHONE_NUMBER_ID=your_phone_number_id
export WHATSAPP_WEBHOOK_URL=your_webhook_url
export WHATSAPP_VERIFY_TOKEN=your_verify_token
export OPENAI_API_KEY=your_openai_api_key
export APP_ENV=development
3

Install dependencies

uv pip install -U agno
4

Run Example

python cookbook/os/interfaces/whatsapp/image_generation_tools.py

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Key Features

  • Tool-based Generation: OpenAI’s GPT Image-1 model via external tools
  • High-Quality Images: Professional-grade image generation
  • Conversational Interface: Natural language interaction for image requests
  • History Context: Remembers previous images and conversations
  • GPT-4o Orchestration: Intelligent conversation and tool management