pyflink.dataframe.ai.llm.LLMAccessor.ai_mask

LLMAccessor.ai_mask(input_col: Union[str, Expression], entities: List[str], *, provider: str = None, model: str = None, config: Dict[str, str] = None) → DataFrame

Mask sensitive information in text.

Parameters

• input_col – Column name (str) or Expression for the input text.

• entities – List of entity types to mask (e.g. ["name", "phone"]).

• provider – Provider name.

• model – Model name.

• config – Optional runtime config.

Returns

• masked_text (STRING): text with sensitive info replaced.

• detected_entities (ARRAY<STRING>): list of detected entity types.

Return type

A new DataFrame with columns appended

Example::

>>> df.llm.ai_mask("text", ["name", "phone"], model="qwen-plus")