pyrit.executor.promptgen.fuzzer.FuzzerExpandConverter

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

Bases: FuzzerConverter

Generates versions of a prompt with new, prepended sentences.

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

Initialize the expand converter with optional chat target and prompt template.

Methods

__init__(*[, converter_target, prompt_template])	Initialize the expand converter with optional chat target and prompt template.
convert_async(*, prompt[, input_type])	Convert 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)	Check if the input type is supported.
output_supported(output_type)	Check if the output type is supported.
send_prompt_async(request)	Send the message to the converter target and process the response.
update(**kwargs)	Update 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', 'function_call', 'tool_call', 'function_call_output'] = 'text') → ConverterResult

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

Parameters:

• prompt (str) – The prompt to be converted.

• input_type (PromptDataType) – The type of input data.

Returns:

The result containing the modified prompt.

Return type:

ConverterResult

Raises:

ValueError – If the input type is not supported.