pyrit.score.LookBackScorer

pyrit.score.LookBackScorer#

class LookBackScorer(chat_target: PromptChatTarget, *, exclude_instruction_prompts: bool, validator: ScorerPromptValidator | None = None)[source]#

Bases: FloatScaleScorer

Create a score from analyzing the entire conversation and adds them to the database.

Parameters:
  • chat_target (PromptChatTarget) – The chat target to use for scoring.

  • exclude_instruction_prompts (bool) – If True, excludes instruction prompts from the conversation. Must be passed as a keyword argument.

__init__(chat_target: PromptChatTarget, *, exclude_instruction_prompts: bool, validator: ScorerPromptValidator | None = None) None[source]#

Methods

__init__(chat_target, *, ...[, validator])

get_identifier()

Returns an identifier dictionary for the scorer.

get_scorer_metrics(dataset_name[, metrics_type])

Returns evaluation statistics for the scorer using the dataset_name of the human labeled dataset that this scorer was run against.

scale_value_float(value, min_value, max_value)

Scales a value from 0 to 1 based on the given min and max values.

score_async(request_response, *[, ...])

Score the request_response, add the results to the database and return a list of Score objects.

score_image_async(image_path, *[, objective])

Scores the given image using the chat target.

score_image_batch_async(*, image_paths[, ...])

score_prompts_batch_async(*, request_responses)

Score multiple prompts in batches using the provided objectives.

score_response_async(*, response[, ...])

Score a response using an objective scorer and optional auxiliary scorers.

score_response_multiple_scorers_async(*, ...)

Score a response using multiple scorers in parallel.

score_text_async(text, *[, objective])

Scores the given text based on the task using the chat target.

validate_return_scores(scores)

Validates the scores returned by the scorer.

Attributes

scorer_type