pyrit.prompt_converter.TemplateSegmentConverter#
- class TemplateSegmentConverter(*, prompt_template: SeedPrompt | None = None)[source]#
Bases:
PromptConverter
Uses a template to randomly split a prompt into segments defined by the template.
This converter is a generalized version of this: https://adversa.ai/blog/universal-llm-jailbreak-chatgpt-gpt-4-bard-bing-anthropic-and-beyond/
- __init__(*, prompt_template: SeedPrompt | None = None)[source]#
Initializes the converter with the specified target and prompt template.
- Parameters:
prompt_template (SeedPrompt, Optional) – The prompt template for the conversion. Must have two or more parameters. If not provided, uses the default
tom_and_jerry.yaml
template.- Raises:
ValueError – If the template has fewer than two parameters or if any parameter is missing in the template.
Methods
__init__
(*[, prompt_template])Initializes the converter with the specified target and prompt template.
convert_async
(*, prompt[, input_type])Converts the given prompt by splitting it into random segments and using them to fill the template parameters.
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.
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 [source]#
Converts the given prompt by splitting it into random segments and using them to fill the template parameters. The prompt is split into N segments (where N is the number of template parameters) at random word boundaries. Each segment is then used to fill the corresponding template parameter.
- Parameters:
prompt (str) – The prompt to be converted.
input_type (PromptDataType) – The type of input data.
- Returns:
The result containing the template filled with prompt segments.
- Return type:
- Raises:
ValueError – If the input type is not supported.
- input_supported(input_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'reasoning', 'error']) bool [source]#
Checks if the input type is supported by the converter.
- Parameters:
input_type (PromptDataType) – 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', 'reasoning', 'error']) bool [source]#
Checks if the output type is supported by the converter.
- Parameters:
output_type (PromptDataType) – The output type to check.
- Returns:
True if the output type is supported, False otherwise.
- Return type: