pyrit.prompt_converter.HumanInTheLoopConverter#
- class HumanInTheLoopConverter(converters: list[PromptConverter] | None = None)[source]#
Bases:
PromptConverter
Allows review of each prompt sent to a target before sending it. User can choose to send the prompt as is, modify the prompt, or run the prompt through one of the passed-in converters before sending it.
- Parameters:
converters – (List[PromptConverter], Optional): List of possible converters to run input through.
- __init__(converters: list[PromptConverter] | None = None)[source]#
Methods
__init__
([converters])convert_async
(*, prompt[, input_type])Before sending a prompt to a target, user is given three options to choose from: (1) Proceed with sending the prompt as is.
convert_tokens_async
(*, prompt[, ...])Converts substrings within a prompt that are enclosed by specified start and end tokens.
get_identifier
()input_supported
(input_type)Checks if the input type is supported by the converter
output_supported
(output_type)Checks if the output type is supported by the converter
Attributes
supported_input_types
Returns a list of supported input types for the converter.
supported_output_types
Returns a list of supported output types for the converter.
- async convert_async(*, prompt: str, input_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'error'] = 'text') ConverterResult [source]#
Before sending a prompt to a target, user is given three options to choose from: (1) Proceed with sending the prompt as is. (2) Manually modify the prompt. (3) Run the prompt through a converter before sending it.
- Parameters:
prompt (str) – The prompt to be added to the image.
input_type (PromptDataType) – Type of data
- Returns:
The filename of the converted image as a ConverterResult Object
- Return type:
- input_supported(input_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'error']) bool [source]#
Checks if the input type is supported by the converter
- Parameters:
input_type – The input type to check
- Returns:
True if the input type is supported, False otherwise
- Return type:
- output_supported(output_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'error']) bool [source]#
Checks if the output type is supported by the converter
- Parameters:
output_type – The output type to check
- Returns:
True if the output type is supported, False otherwise
- Return type: