langchain_experimental.comprehend_moderation.toxicity.ComprehendToxicity

class langchain_experimental.comprehend_moderation.toxicity.ComprehendToxicity(client: Any, callback: Optional[Any] = None, unique_id: Optional[str] = None, chain_id: Optional[str] = None)

Methods

__init__(client[, callback, unique_id, chain_id])
validate(prompt_value[, config])	Check the toxicity of a given text prompt using AWS Comprehend service and apply actions based on configuration.

__init__(client: Any, callback: Optional[Any] = None, unique_id: Optional[str] = None, chain_id: Optional[str] = None) → None

validate(prompt_value: str, config: Any = None) → str

Check the toxicity of a given text prompt using AWS Comprehend service and apply actions based on configuration. :param prompt_value: The text content to be checked for toxicity. :type prompt_value: str :param config: Configuration for toxicity checks and actions. :type config: Dict[str, Any]

Returns

The original prompt_value if allowed or no toxicity found.

Return type

str

Raises

• ValueError – If the prompt contains toxic labels and cannot be

• processed based on the configuration. –