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feat: add GuardrailTracingDetail TypedDict and tracing fields to StandardLoggingGuardrailInformation
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@ -2620,6 +2620,48 @@ class StandardLoggingGuardrailInformation(TypedDict, total=False):
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}
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"""
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guardrail_id: Optional[str]
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"""Unique identifier for the guardrail configuration, e.g. 'gd-eu-pii-001'"""
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policy_template: Optional[str]
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"""Name of the policy template this guardrail belongs to, e.g. 'EU AI Act Article 5'"""
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detection_method: Optional[str]
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"""How detection was performed: 'regex', 'keyword', 'llm-judge', 'presidio', etc."""
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confidence_score: Optional[float]
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"""For LLM-judge guardrails: confidence score 0.0-1.0"""
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classification: Optional[dict]
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"""For LLM-judge guardrails: structured classification output"""
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match_details: Optional[List[dict]]
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"""Detailed match information for each detected pattern"""
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patterns_checked: Optional[int]
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"""Total number of patterns evaluated by this guardrail"""
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alert_recipients: Optional[List[str]]
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"""Email addresses that were notified"""
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class GuardrailTracingDetail(TypedDict, total=False):
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"""
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Typed fields for guardrail tracing metadata.
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Passed to add_standard_logging_guardrail_information_to_request_data()
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to enrich the StandardLoggingGuardrailInformation with provider-specific details.
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"""
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guardrail_id: Optional[str]
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policy_template: Optional[str]
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detection_method: Optional[str]
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confidence_score: Optional[float]
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classification: Optional[dict]
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match_details: Optional[List[dict]]
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patterns_checked: Optional[int]
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alert_recipients: Optional[List[str]]
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StandardLoggingPayloadStatus = Literal["success", "failure"]
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