Skip to main content
1

Create a Python file

touch performance_async.py
2

Add the following code to your Python file

performance_async.py
"""This example shows how to run a Performance evaluation on an async function."""

import asyncio

from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat


# Simple async function to run an Agent.
async def arun_agent():
    agent = Agent(
        model=OpenAIChat(id="gpt-5-mini"),
        system_message="Be concise, reply with one sentence.",
    )
    response = await agent.arun("What is the capital of France?")
    return response


performance_eval = PerformanceEval(func=arun_agent, num_iterations=10)

# Because we are evaluating an async function, we use the arun method.
asyncio.run(performance_eval.arun(print_summary=True, print_results=True))
3

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
4

Install libraries

pip install -U openai agno
5

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
6

Run Agent

python performance_async.py