# Summary Fluency

**Objective:**&#x20;

Summary Fluency evaluates the linguistic quality of the summary, focusing on its grammatical correctness, smoothness of phrasing, and readability. It measures whether the summary is coherent in language, free of awkward wording or disjointed structure, and whether it can be easily understood by a reader.

**Required Columns in Dataset:**

`LLM Summary`

**Interpretation:**

* **High values**: Indicate that the summary is well-written, grammatically correct, and easily readable.
* **Low values**: Suggest poor grammar, awkward phrasing, or readability issues, making the summary difficult to understand.

**Execution via UI:**

<figure><img src="/files/tVZcTqGg45MCWUcS3XtJ" alt=""><figcaption></figcaption></figure>

**Execution via SDK:**

```python
metrics=[
    {"name": "Summary Fluency", "config": {"model": "gpt-4o-mini", "provider": "openai"}, "column_name": "your-text", "schema_mapping": schema_mapping}
]
```


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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/text-summarization/summary-fluency.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
