# How to Evaluate your LLM Response

You can leverage our Command models 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.Client(api_key="Your API key")
response = co.chat(
    model="command-a-03-2025",
    message="""
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.text)
```

## Related pages

- [Changelog](../changelog.md)
- [Cohere](../index.md)
- [Cohere API](./cohere-api-index.md)
- [Cohere Labs](./cohere-labs-index.md)
- [Cohere Platform](./cohere-platform-index.md)
- [Cookbooks](./cookbooks-index.md)
- [Deployment Options](./deployment-options-index.md)
- [Embeddings (Vectors, Search, Retrieval)](./embeddings-vectors-search-retrieval-index.md)
- [Get Started](./get-started-index.md)
- [Going to Production](./going-to-production-index.md)

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