# Factual Consistency

This scanner checks if the provided content disagrees with a specific statement or question, this test ensures language model results are accurate and logical.

**Parameters**:

`data:`

* `prompt` (str): Prompt given to the model
* `response` (str): Reponse given by the model, which will be checked for factual consistency

`arguments:`

* `threshold` (float, optional): Threshold to determine if the response is factually correct. Default is 0.5.
* `use_onnx` (bool, optional): Whether to use onnx model to check for factual consistency.

**Interpretation**:

Higher score represents more logical and factually correct model response. The test passes if the model response is correct.

#### Code Example:

```python
prompt = "Angela Merkel is a politician in Germany and leader of the CDU."
response = "This text is about economics"

evaluator.add_test(
    test_names=["factual_consistency_guardrail"],
    data={'prompt':prompt,
          'response': response,
    },
    arguments={'model': 'gpt-4', 'threshold': 1.0},
).run()

evaluator.print_results()

```