pyrit.executor.promptgen.fuzzer.FuzzerCrossOverConverter

pyrit.executor.promptgen.fuzzer.FuzzerCrossOverConverter#

class FuzzerCrossOverConverter(*, converter_target: PromptChatTarget | None = None, prompt_template: SeedPrompt | None = None, prompt_templates: List[str] | None = None)[source]#

Bases: FuzzerConverter

Uses multiple prompt templates to generate new prompts.

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

Initialize the converter with the specified chat target and prompt templates.

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

  • prompt_templates (List[str], Optional) – List of prompt templates to use in addition to the default one.

Methods

__init__(*[, converter_target, ...])

Initialize the converter with the specified chat target and prompt templates.

convert_async(*, prompt[, input_type])

Convert the given prompt by combining it with a random prompt template from the list of available templates.

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 prompt templates.

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]#

Convert the given prompt by combining it with a random prompt template from the list of available templates.

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.

update(**kwargs) → None[source]#

Update the converter with new prompt templates.

Contents