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This example demonstrates basic asynchronous agent usage with different response handling methods including direct response, print response, and pretty print response.

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Code

basic.py
import asyncio

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.utils.pprint import apprint_run_response

agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
)


async def basic():
    response = await agent.arun(input="Tell me a joke.")
    print(response.content)


async def basic_print():
    await agent.aprint_response(input="Tell me a joke.")


async def basic_pprint():
    response = await agent.arun(input="Tell me a joke.")
    await apprint_run_response(response)


if __name__ == "__main__":
    asyncio.run(basic())
    # OR
    asyncio.run(basic_print())
    # OR
    asyncio.run(basic_pprint())

​
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
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 basic.py
5

Run Agent

python basic.py
6

Find All Cookbooks

Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub
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