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

# Accuracy with Given Answer

> Example showing how to evaluate a precomputed answer directly with AccuracyEval.run_with_output(), without running an Agent.

**1. Create a Python file**

```python accuracy_with_given_answer.py theme={null}
from typing import Optional

from agno.eval.accuracy import AccuracyEval, AccuracyResult
from agno.models.openai import OpenAIResponses

evaluation = AccuracyEval(
    name="Given Answer Evaluation",
    model=OpenAIResponses(id="gpt-5.2"),
    input="What is 10*5 then to the power of 2? do it step by step",
    expected_output="2500",
)
result_with_given_answer: Optional[AccuracyResult] = evaluation.run_with_output(
    output="2500", print_results=True
)
assert result_with_given_answer is not None and result_with_given_answer.avg_score >= 8
```

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

**2. Install dependencies**

```bash theme={null}
uv pip install -U openai agno
```

**3. Export your OpenAI API key**

```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"
```

**4. Run Agent**

```bash theme={null}
python accuracy_with_given_answer.py
```


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