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# nemoguardrails.library.self_check.facts.actions

## Module Contents

### Functions

| Name                                                                                          | Description                                                                    |
| --------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
| [`_fact_check_outcome`](#nemoguardrails-library-self_check-facts-actions-_fact_check_outcome) | -                                                                              |
| [`self_check_facts`](#nemoguardrails-library-self_check-facts-actions-self_check_facts)       | Checks the facts for the bot response by appropriately prompting the base llm. |

### Data

[`FACT_CHECK_THRESHOLD`](#nemoguardrails-library-self_check-facts-actions-FACT_CHECK_THRESHOLD)

[`log`](#nemoguardrails-library-self_check-facts-actions-log)

### API

```python
nemoguardrails.library.self_check.facts.actions._fact_check_outcome(
    accuracy: float
) -> nemoguardrails.actions.rail_outcome.RailOutcome
```

```python
nemoguardrails.library.self_check.facts.actions.self_check_facts(
    llm_task_manager: nemoguardrails.llm.taskmanager.LLMTaskManager,
    context: typing.Optional[dict] = None,
    llm: typing.Optional[nemoguardrails.types.LLMModel] = None,
    config: typing.Optional[nemoguardrails.RailsConfig] = None,
    relevant_chunks: typing.Optional[list] = None,
    bot_message: typing.Optional[str] = None,
    kwargs = {}
) -> nemoguardrails.actions.rail_outcome.RailOutcome
```

async

Checks the facts for the bot response by appropriately prompting the base llm.

```python
nemoguardrails.library.self_check.facts.actions.FACT_CHECK_THRESHOLD = 0.5
```

```python
nemoguardrails.library.self_check.facts.actions.log = logging.getLogger(__name__)
```