pyrit.prompt_converter.ToxicSentenceGeneratorConverter

pyrit.prompt_converter.ToxicSentenceGeneratorConverter#

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

Bases: LLMGenericTextConverter

A PromptConverter that generates toxic sentence starters using an LLM via an existing PromptTarget.

Based on Project Moonshot’s attack module that generates toxic sentences to test LLM safety guardrails: aiverify-foundation/moonshot-data

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

Initializes the converter with a specific target and template.

Parameters:

  • converter_target (PromptChatTarget) – The endpoint that converts the prompt.

  • prompt_template (SeedPrompt) – The seed prompt template to use. If not provided, defaults to the toxic_sentence_generator.yaml.

Methods

__init__(*, converter_target[, prompt_template])

Initializes the converter with a specific target and template.

convert_async(*, prompt[, input_type])

Converts a seed prompt into a toxic sentence starter.

convert_tokens_async(*, prompt[, ...])

Converts substrings within a prompt that are enclosed by specified start and end tokens.

get_identifier()

input_supported(input_type)

Checks if the input type is supported by this converter.

output_supported(output_type)

Checks if the output type is supported by this 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', 'error'] = 'text') → ConverterResult[source]#

Converts a seed prompt into a toxic sentence starter.

Parameters:

  • prompt (str) – The prompt to convert.

  • input_type (PromptDataType, Optional) – The data type of the input prompt. Defaults to “text”.

Returns:

The result of the conversion, containing the toxic sentence

starter.

Return type:

ConverterResult

input_supported(input_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'error']) → bool[source]#

Checks if the input type is supported by this converter.

Parameters:

input_type (PromptDataType) – The data type to check.

Returns:

True if the input type is supported, False otherwise.

Return type:

bool

output_supported(output_type: Literal['text', 'image_path', 'audio_path', 'video_path', 'url', 'error']) → bool[source]#

Checks if the output type is supported by this converter.

Parameters:

output_type (PromptDataType) – The data type to check.

Returns:

True if the output type is supported, False otherwise.

Return type:

bool

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