pyrit.prompt_converter.NoiseConverter#
- class NoiseConverter(*, converter_target: PromptChatTarget, noise: str | None = None, number_errors: int = 5, prompt_template: SeedPrompt | None = None)[source]#
Bases:
LLMGenericTextConverter
Injects noise errors into a conversation using an LLM.
An existing
PromptChatTarget
is used to perform the conversion (like Azure OpenAI).- __init__(*, converter_target: PromptChatTarget, noise: str | None = None, number_errors: int = 5, prompt_template: SeedPrompt | None = None)[source]#
Initializes the converter with the specified parameters.
- Parameters:
converter_target (PromptChatTarget) – The endpoint that converts the prompt.
noise (str) – The noise to inject. Grammar error, delete random letter, insert random space, etc.
number_errors (int) – The number of errors to inject.
prompt_template (SeedPrompt, Optional) – The prompt template for the conversion.
Methods
__init__
(*, converter_target[, noise, ...])Initializes the converter with the specified parameters.
convert_async
(*, prompt[, input_type])Converts the given prompt using an LLM via the specified converter target.
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.