Basic Async Agent Usage

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

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.

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. Install libraries

   pip install -U agno openai
   
3. Export your OpenAI API key

   Mac/Linux

     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

   Mac

   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