pyrit.prompt_converter.FuzzerExpandConverter

class FuzzerExpandConverter(*, converter_target: PromptChatTarget, prompt_template: SeedPrompt | None = None)

Bases: FuzzerConverter

Generates versions of a prompt with new, prepended sentences.

__init__(*, converter_target: PromptChatTarget, prompt_template: SeedPrompt | None = None)

Initializes the converter with the specified chat target and prompt template.

Parameters:

• converter_target (PromptChatTarget) – Chat target used to perform fuzzing on user prompt.

• prompt_template (SeedPrompt, Optional) – Template to be used instead of the default system prompt with instructions for the chat target.

Methods

__init__(*, converter_target[, prompt_template])	Initializes the converter with the specified chat target and prompt template.
convert_async(*, prompt[, input_type])	Converts the given prompt by generating versions of it with new, prepended sentences.
convert_tokens_async(*, prompt[, ...])	Converts substrings within a prompt that are enclosed by specified start and end tokens.
get_identifier()	Returns an identifier dictionary for the converter.
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.
send_prompt_async(request)	Sends the prompt request to the converter target and processes the response.
update(**kwargs)	Updates the converter with new parameters.

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', 'reasoning', 'error'] = 'text') → ConverterResult

Converts the given prompt by generating versions of it with new, prepended sentences.