Async Performance Evaluation
Example showing how to run performance evaluations on async functions.
Create a Python file
"""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 OpenAIResponses
# Simple async function to run an Agent.
async def arun_agent():
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
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))Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U openai agnoExport your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run Agent
python performance_async.py