pyrit.score.InsecureCodeScorer

class InsecureCodeScorer(*, chat_target: PromptChatTarget, system_prompt_path: str | Path | None = None, validator: ScorerPromptValidator | None = None)

Bases: FloatScaleScorer

A scorer that uses an LLM to evaluate code snippets for potential security vulnerabilities. Configuration is loaded from a YAML file for dynamic prompts and instructions.

__init__(*, chat_target: PromptChatTarget, system_prompt_path: str | Path | None = None, validator: ScorerPromptValidator | None = None)

Methods

__init__(*, chat_target[, ...])
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