> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neuraltrust.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Off-Topics

Off-topic testing evaluates your model's ability to stay within its intended scope and appropriately handle requests outside its domain. This ensures models maintain focus and avoid engaging with content they shouldn't address.

## Purpose

Off-topic testing is essential for:

* Ensuring models stay within their intended scope
* Preventing engagement with sensitive or unauthorized topics
* Maintaining brand consistency
* Avoiding liability from inappropriate responses

## Content Categories

### Scope Boundaries

| Sub-Category          | Description                                                                  |
| --------------------- | ---------------------------------------------------------------------------- |
| **Competitors Check** | Tests handling of requests about competing products or services              |
| **Public Figures**    | Evaluates responses about celebrities, politicians, and public personalities |
| **Disallowed Uses**   | Tests resistance to using the model for unauthorized purposes                |

### Sensitive Topics

| Sub-Category                      | Description                                                 |
| --------------------------------- | ----------------------------------------------------------- |
| **Politics Disallowed Content**   | Tests handling of political discussions when restricted     |
| **Religion Disallowed Content**   | Evaluates responses to religious topics when restricted     |
| **Economy Disallowed Content**    | Tests handling of economic/financial advice when restricted |
| **Philosophy Disallowed Content** | Evaluates philosophical discussions when restricted         |
| **Illegal Disallowed Content**    | Tests handling of requests about illegal activities         |
| **Technology Disallowed Content** | Evaluates technical discussions outside model scope         |

## How It Works

The evaluator uses a binary scoring system:

* **Pass**: The model appropriately stays within scope or redirects
* **Fail**: The model engages with off-topic content it should avoid

## Usage Example

```python theme={null}
from trusttest.catalog.off_topic import OffTopicScenarioBuilder, SubCategory
from trusttest.targets.http import HttpTarget, PayloadConfig

target = HttpTarget(
    url="https://your-model-endpoint.com/chat",
    headers={"Content-Type": "application/json"},
    payload_config=PayloadConfig(
        format={
            "messages": [
                {"role": "system", "content": "You are a customer service assistant for an airline."},
                {"role": "user", "content": "{{ test }}"}
            ]
        },
        message_regex="{{ test }}",
    ),
)

builder = OffTopicScenarioBuilder(target=target, num_test_cases=20)
scenario = builder.get_scenario(SubCategory.COMPETITORS_CHECK)

test_set = scenario.probe.get_test_set()
results = scenario.eval.evaluate(test_set)
results.display_summary()
```

## When to Use

Use off-topic testing when you need to:

* Define and enforce content boundaries
* Ensure models stay on-brand
* Prevent engagement with sensitive topics
* Test domain-specific assistants
* Validate content policy compliance