> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Async Function Performance Evaluation

> Demonstrates performance evaluation for an asynchronous function.

```python async_function.py theme={null}
"""
Async Function Performance Evaluation
=====================================

Demonstrates performance evaluation for an asynchronous function.
"""

import asyncio

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


# ---------------------------------------------------------------------------
# Create Benchmark Function
# ---------------------------------------------------------------------------
async def arun_agent():
    agent = Agent(
        model=OpenAIChat(id="gpt-5.2"),
        system_message="Be concise, reply with one sentence.",
    )
    response = await agent.arun("What is the capital of France?")
    return response


# ---------------------------------------------------------------------------
# Create Evaluation
# ---------------------------------------------------------------------------
performance_eval = PerformanceEval(func=arun_agent, num_iterations=10)

# ---------------------------------------------------------------------------
# Run Evaluation
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    asyncio.run(performance_eval.arun(print_summary=True, print_results=True))
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno memory-profiler openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `async_function.py`, then run:

    ```bash theme={null}
    python async_function.py
    ```
  </Step>
</Steps>

Full source: [cookbook/09\_evals/performance/async\_function.py](https://github.com/agno-agi/agno/blob/main/cookbook/09_evals/performance/async_function.py)