> For the complete documentation index, see [llms.txt](https://docs.raga.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/additional-metrics/evaluation/consistency.md).

# Consistency

**Objective**: The test is intended to check the consistency of the model i.e if the model can generate similar answers on multiple runs w\.r.t  the prompt and response provided 

**Required Parameters**: Prompt, Response 

* By default, 5 responses are generated

**Interpretation**: A higher score signifies model is more consistent in its response to the given prompt.

```python
# Consistency Test
prompt = "Who is Issac Newton?"
consistent_response = "Sir Isaac Newton FRS was an English polymath active as a mathematician, physicist, astronomer, alchemist, theologian, and author who was described in his time as a natural philosopher"
inconsistent_response = "Issac Newton was an English poet of the second generation of Romantic poets, along with Lord Byron and Percy Bysshe Shelly."

evaluator.add_test(
    test_names=["consistency_test"],
    data={"prompt": prompt, "response": consistent_response},
    arguments={"threshold": 0.5},
).add_test(
    test_names=["consistency_test"],
    data={"prompt": prompt, "response": inconsistent_response},
    arguments={"threshold": 0.5},
).run()

evaluator.print_results()
```


---

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