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

# Async Accuracy Evaluation

> Learn how to run accuracy evaluations asynchronously for better performance.

This example shows how to run an Accuracy evaluation asynchronously.

## Code

```python theme={null}
"""This example shows how to run an Accuracy evaluation asynchronously."""

import asyncio
from typing import Optional

from agno.agent import Agent
from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIChat
from agno.tools.calculator import CalculatorTools

evaluation = AccuracyEval(
    model=OpenAIChat(id="o4-mini"),
    agent=Agent(
        model=OpenAIChat(id="gpt-5-mini"),
        tools=[CalculatorTools()],
    ),
    input="What is 10*5 then to the power of 2? do it step by step",
    expected_output="2500",
    additional_guidelines="Agent output should include the steps and the final answer.",
    num_iterations=3,
)

# Run the evaluation calling the arun method.
result: Optional[AccuracyResult] = asyncio.run(evaluation.arun(print_results=True))
assert result is not None and result.avg_score >= 8
```