pyrit.models.AttackResult

pyrit.models.AttackResult#

class AttackResult(conversation_id: str, objective: str, attack_result_id: Optional[str] = None, attack_identifier: Optional[ComponentIdentifier] = None, last_response: Optional[MessagePiece] = None, last_score: Optional[Score] = None, executed_turns: int = 0, execution_time_ms: int = 0, outcome: AttackOutcome = AttackOutcome.UNDETERMINED, outcome_reason: Optional[str] = None, related_conversations: set[ConversationReference] = <factory>, metadata: dict[str, Any] = <factory>)[source]#

Bases: StrategyResult

Base class for all attack results.

__init__(conversation_id: str, objective: str, attack_result_id: Optional[str] = None, attack_identifier: Optional[ComponentIdentifier] = None, last_response: Optional[MessagePiece] = None, last_score: Optional[Score] = None, executed_turns: int = 0, execution_time_ms: int = 0, outcome: AttackOutcome = AttackOutcome.UNDETERMINED, outcome_reason: Optional[str] = None, related_conversations: set[ConversationReference] = <factory>, metadata: dict[str, Any] = <factory>) → None#

Methods

__init__(conversation_id, objective[, ...])

duplicate()

Create a deep copy of the result.

get_conversations_by_type(conversation_type)

Return all related conversations of the requested type.

Attributes

attack_identifier

attack_result_id

executed_turns

execution_time_ms

last_response

last_score

outcome

outcome_reason

conversation_id

objective

related_conversations

metadata

attack_identifier: ComponentIdentifier | None = None#
attack_result_id: str | None = None#
conversation_id: str#
executed_turns: int = 0#
execution_time_ms: int = 0#
get_conversations_by_type(conversation_type: ConversationType) → list[ConversationReference][source]#

Return all related conversations of the requested type.

Parameters:

conversation_type (ConversationType) – The type of conversation to filter by.

Returns:

A list of related conversations matching the specified type.

Return type:

list

last_response: MessagePiece | None = None#
last_score: Score | None = None#
metadata: dict[str, Any]#
objective: str#
outcome: AttackOutcome = 'undetermined'#
outcome_reason: str | None = None#
related_conversations: set[ConversationReference]#
Contents