pyrit.prompt_converter.FuzzerExpandConverter

pyrit.prompt_converter.FuzzerExpandConverter#

class FuzzerExpandConverter(*, converter_target: PromptChatTarget | None = None, prompt_template: SeedPrompt | None = None)[source]#

Bases: FuzzerConverter

Generates versions of a prompt with new, prepended sentences.

__init__(*, converter_target: PromptChatTarget | None = None, prompt_template: SeedPrompt | None = None)[source]#

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

Parameters:

converter_target (PromptChatTarget) – Chat target used to perform fuzzing on user prompt. Can be omitted if a default has been configured via PyRIT initialization.
prompt_template (SeedPrompt) – Template to be used instead of the default system prompt with instructions for the chat target.

Raises:

ValueError – If converter_target is not provided and no default has been configured.

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', 'function_call', 'tool_call', 'function_call_output'] = 'text') → ConverterResult[source]#: Converts the given prompt by generating versions of it with new, prepended sentences.