Agent With Tools

Combine server-side web search with a frontend haiku tool in an agent served over AG-UI.

agent_with_tools.py

"""
Agent With Tools
================

Demonstrates agent with tools.
"""

from typing import List

from agno.agent.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.os.interfaces.agui import AGUI
from agno.tools import tool
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------


# Frontend Tools
@tool(external_execution=True)
def generate_haiku(
    english: List[str], japanese: List[str], image_names: List[str]
) -> str:
    """Generate a haiku in Japanese and English and display it in the frontend."""
    return "Haiku generated and displayed in frontend"


agent = Agent(
    model=OpenAIResponses(id="gpt-5.4"),
    tools=[
        WebSearchTools(),
        generate_haiku,
    ],
    description="You are a helpful AI assistant with backend and frontend tools. You can search the web and create haikus that render in the frontend.",
    instructions="""
    You are a versatile AI assistant with the following capabilities:

    **Tools (executed on server):**
    - Web search using DuckDuckGo for finding current information

    Always be helpful, creative, and use the most appropriate tool for each request!
    """,
    add_datetime_to_context=True,
    add_history_to_context=True,
    add_location_to_context=True,
    timezone_identifier="Etc/UTC",
    markdown=True,
    debug_mode=True,
)


# Setup your AgentOS app
agent_os = AgentOS(
    agents=[agent],
    interfaces=[AGUI(agent=agent)],
)
app = agent_os.get_app()


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    """Run your AgentOS.

    You can see the configuration and available apps at:
    http://localhost:9001/config

    Use Port 9001 to configure Dojo endpoint.
    """
    agent_os.serve(app="agent_with_tools:app", port=9001, reload=True)

Run the Example

1. Set up your virtual environment

   Mac

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

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U "agno[agui,os]" ddgs openai requests
   
3. Export your OpenAI API key

   Mac/Linux

   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
4. Run the example

   Save the code above as agent_with_tools.py, then run:

   python agent_with_tools.py
   
5. Run Dojo

   Follow the AG-UI frontend setup to clone, build, and start Dojo. Configure its Agno endpoint for port 9001, then use Dojo to execute the generate_haiku frontend tool.

Full source: cookbook/05_agent_os/16_agui/agent_with_tools.py