pyrit.prompt_converter.MathPromptConverter

pyrit.prompt_converter.MathPromptConverter#

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

Bases: LLMGenericTextConverter

Converts natural language instructions into symbolic mathematics problems using an LLM.

An existing PromptChatTarget is used to perform the conversion (like Azure OpenAI).

__init__(*, converter_target: PromptChatTarget, prompt_template: SeedPrompt = 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.

Methods

__init__(*, converter_target[, prompt_template])

Initializes the converter with a specific target and template.

convert_async(*, prompt[, input_type])

Converts the given prompt into a mathematical problem format.

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 into a mathematical problem format.

Parameters:

  • prompt (str) – The prompt to be converted.

  • input_type (PromptDataType) – The type of input data.

Returns:

The result containing the mathematical representation and real-world example.

Return type:

ConverterResult

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