pyrit.score.AzureContentFilterScorer

pyrit.score.AzureContentFilterScorer#

class AzureContentFilterScorer(*, endpoint: str | None = None, api_key: str | None = None, use_entra_auth: bool = False, harm_categories: list[TextCategory] | None = None, validator: ScorerPromptValidator | None = None)[source]#

Bases: FloatScaleScorer

A scorer that uses Azure Content Safety API to evaluate text and images for harmful content.

This scorer analyzes content across multiple harm categories (hate, self-harm, sexual, violence) and returns a score for each category in the range [0, 1], where higher scores indicate more severe content. Supports both text and image inputs.

__init__(*, endpoint: str | None = None, api_key: str | None = None, use_entra_auth: bool = False, harm_categories: list[TextCategory] | None = None, validator: ScorerPromptValidator | None = None) → None[source]#

Class that initializes an Azure Content Filter Scorer

Parameters:

  • api_key (str, Optional) – The API key for accessing the Azure OpenAI service (only if you’re not using Entra authentication). Defaults to the API_KEY_ENVIRONMENT_VARIABLE environment variable.

  • endpoint (str, Optional) – The endpoint URL for the Azure OpenAI service. Defaults to the ENDPOINT_URI_ENVIRONMENT_VARIABLE environment variable.

  • use_entra_auth (bool, Optional) – Whether to use Entra authentication. Defaults to False.

  • harm_categories – The harm categories you want to query for as per defined in azure.ai.contentsafety.models.TextCategory.

Methods

__init__(*[, endpoint, api_key, ...])

Class that initializes an Azure Content Filter Scorer

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(message, *[, objective, ...])

Score the message, 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(*, messages[, ...])

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

API_KEY_ENVIRONMENT_VARIABLE

ENDPOINT_URI_ENVIRONMENT_VARIABLE

scorer_type

API_KEY_ENVIRONMENT_VARIABLE: str = 'AZURE_CONTENT_SAFETY_API_KEY'#
ENDPOINT_URI_ENVIRONMENT_VARIABLE: str = 'AZURE_CONTENT_SAFETY_API_ENDPOINT'#
Contents