pyrit.score.LookBackScorer#
- class LookBackScorer(chat_target: PromptChatTarget)[source]#
Bases:
Scorer
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.
- __init__(chat_target: PromptChatTarget) None [source]#
Methods
__init__
(chat_target)get_identifier
()Returns an identifier dictionary for the scorer.
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_piece, *[, task])Scores the entire conversation based on detected behavior change.
score_image_async
(image_path, *[, task])Scores the given image using the chat target.
score_prompts_with_tasks_batch_async
(*, ...)score_responses_inferring_tasks_batch_async
(*, ...)Scores a batch of responses (ignores non-assistant messages).
score_text_async
(text, *[, task])Scores the given text based on the task using the chat target.
validate
(request_response, *[, task])Validates the request_response piece to score.
Attributes
- async score_async(request_piece: PromptRequestPiece, *, task: str | None = None) list[Score] [source]#
Scores the entire conversation based on detected behavior change.
- Parameters:
request_piece (PromptRequestPiece) – A piece of the conversation to be scored. The converation ID is used to retrieve the full conversation from memory.
task (str) – The task based on which the text should be scored (the original attacker model’s objective). Currently not supported for this scorer.
- Returns:
The score is the detected amount of behavior change throughout the conversation.
- validate(request_response: PromptRequestPiece, *, task: str | None = None)[source]#
Validates the request_response piece to score. Because some scorers may require specific PromptRequestPiece types or values.
- Parameters:
request_response (PromptRequestPiece) – The request response to be validated.
task (str) – The task based on which the text should be scored (the original attacker model’s objective).