(self, key: str)

(data, field_name: str, field_type: type, required: bool = True)

(self)

(self, prompt: str, prompt_response: str = None)

()

(self, name: str, scanners: List[BaseScanner])

(self, scanner_names: List[str])

(self, texts: List[str], metadatas: List[dict])

(config_path: str)

(self, scanner_type: str)

(self, section: str, key: str)

(self, chunk)

(self, prompt: str, scan_id: uuid.uuid4, prompt_response: str = None)

()

(self)

(self)

(self, texts: List[str], embeddings: List[List], metadatas: List[dict])

(self, scan_obj: ScanModel, scan_id: UUID = uuid4())

(text)

( cls, name: str, config: Optional[dict] = None, vectordb: Optional[Callable]

(self, name: str)

(self, scanner_name)

(cls, name: str)

(self, dataset_name: str)

(self)

(self, text: str)

( cls, name: str, scanner_class: Type[BaseScanner], requires_config=False,

(self, key: str, value: any)

(conf: Config)

()

()

()

(self, name: str = '')

(self, scanners: List[BaseScanner], auto_update: bool = False,

(self, scanners: List[BaseScanner])

(self, config_path: str)

(self, config_file: str)

(self, model_name: str, api_key: Optional[str] = None, api_base: Optional[str] = None)

(self, vector_db, chunk_size=100)

(self, capacity: int)

(self)

(self, model: str, openai_key: str = None)

(self, rules_dir: str)

(self, threshold: float, embedder: Callable)

(self, model: str, threshold: float)

(self, config_dict: dict)

(self, threshold: float)

(self, db_client: VectorDB, threshold: float)

(self, input_data: str)

(self, input_data: str)

(self, scan_obj: ScanModel, scan_id: uuid.uuid4)

(self, scan_obj: ScanModel, scan_id: uuid.uuid4)

(self, input_data: str, scan_id: uuid.uuid4)

(self, scan_obj: ScanModel, scan_id: uuid.uuid4)

(self, scan_obj: ScanModel, scan_id: uuid.uuid4)

(scanner_class: Type[BaseScanner])

(self, input_data: str)

(self, section: str, key: str, default: bool = False)

(cls)

(cls)

(name: str, requires_config=False, requires_vectordb=False, **additional_metadata)