# How to Evaluate your LLM Response

You can leverage [Command A](/guides/models-the-command-family-of-models-command-a) to evaluate natural language responses that cannot be easily scored with manual rules.

**Prompt**

```
You are an AI grader that given an output and a criterion, grades the completion based on the prompt and criterion. Below is a prompt, a completion, and a criterion with which to
grade the completion. You need to respond according to the criterion instructions.

## Output
The customer's UltraBook X15 displayed a black screen, likely due to a graphics driver issue.
Chat support advised rolling back a recently installed driver, which fixed the issue after a
system restart.

## Criterion 
Rate the ouput text with a score between 0 and 1. 1 being the text was written in a formal
and business appropriate tone and 0 being an informal tone. Respond only with the score.
```

**Output**

```
0.8
```

**API Request**

```python PYTHON
import cohere

co = cohere.ClientV2(api_key="<YOUR API KEY>")

response = co.chat(
    model="command-a-plus-05-2026",
    messages=[
        {
            "role": "user",
            "content": """
    You are an AI grader that given an output and a criterion, grades the completion based on
    the prompt and criterion. Below is a prompt, a completion, and a criterion with which to grade
    the completion. You need to respond according to the criterion instructions.
    
    ## Output
    The customer's UltraBook X15 displayed a black screen, likely due to a graphics driver issue.
    Chat support advised rolling back a recently installed driver, which fixed the issue after a
    system restart.
    
    ## Criterion 
    Rate the ouput text with a score between 0 and 1. 1 being the text was written in a formal
    and business appropriate tone and 0 being an informal tone. Respond only with the score.
    """,
        }
    ],
)

print(response.message.content[0].text)
```

## Related pages

- [Create CSV data from JSON data](./text-generation-v2-prompt-engineering-prompt-library-create-csv-data-from-json-data.md)
- [Create a markdown table from raw data](./text-generation-v2-prompt-engineering-prompt-library-create-a-markdown-table-from-raw-data.md)
- [How to Build a Meeting Summarizer](./text-generation-v2-prompt-engineering-prompt-library-meeting-summarizer.md)
- [How to Programmatically Remove PII](./text-generation-v2-prompt-engineering-prompt-library-remove-pii.md)
- [How to Add a Docstring to Your Code](./text-generation-v2-prompt-engineering-prompt-library-add-a-docstring-to-your-code.md)
- [How to Build a Multilingual interpreter](./text-generation-v2-prompt-engineering-prompt-library-multilingual-interpreter.md)

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