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portkey-ai--gateway/plugins/acuvity/model.ts
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wehub-resource-sync 3cd11ababe
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chore: import upstream snapshot with attribution
2026-07-13 13:38:56 +08:00

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TypeScript

export type ClosedEnum<T> = T[keyof T];
export type Modality = {
/**
* The group of data.
*/
group: string;
/**
* The type of data.
*/
type: string;
};
/**
* The type of detection.
*/
export const TextualdetectionType = {
Keyword: 'Keyword',
Pii: 'PII',
Secret: 'Secret',
} as const;
/**
* The type of detection.
*/
export type TextualdetectionType = ClosedEnum<typeof TextualdetectionType>;
/**
* Represents a textual detection done by policy.
*/
export type Textualdetection = {
/**
* The end position of the detection in the original data.
*/
end?: number | undefined;
/**
* The key that is used in the name's place, If empty, a sequence of X's are used.
*/
key?: string | undefined;
/**
* The name of the detection.
*/
name?: string | undefined;
/**
* If true this detection has been redacted.
*/
redacted?: boolean | undefined;
/**
* The end position of the detection in the redacted data.
*/
redactedEnd?: number | undefined;
/**
* The start position of the detection in the redacted data.
*/
redactedStart?: number | undefined;
/**
* The confidence score of the detection.
*/
score?: number | undefined;
/**
* The start position of the detection in the original data.
*/
start?: number | undefined;
/**
* The type of detection.
*/
type?: TextualdetectionType | undefined;
};
export type Extraction = {
/**
* The PIIs found during classification.
*/
piIs?: { [k: string]: number } | undefined;
/**
* Annotations attached to the extraction.
*/
annotations?: { [k: string]: string } | undefined;
/**
* The level of general confidentiality of the input.
*/
confidentiality?: number | undefined;
/**
* The data extracted.
*/
data?: string | undefined;
/**
* The detections found while applying policies.
*/
detections?: Array<Textualdetection> | undefined;
/**
* The various exploits attempts.
*/
exploits?: { [k: string]: number } | undefined;
/**
* The hash of the extraction.
*/
hash?: string | undefined;
/**
* The estimated intent embodied into the text.
*/
intent?: { [k: string]: number } | undefined;
/**
* If true, this extraction is for internal use only. This can be used by agentic
*
* @remarks
* systems to mark an extraction as internal only as opposed to user facing.
*/
internal?: boolean | undefined;
/**
* The keywords found during classification.
*/
keywords?: { [k: string]: number } | undefined;
/**
* A means of distinguishing what was extracted, such as prompt, input file or
*
* @remarks
* code.
*/
label?: string | undefined;
/**
* The language of the classification.
*/
languages?: { [k: string]: number } | undefined;
/**
* The various malcontents attempts.
*
* @remarks
*
* The current list can be obtained through the analyzers API by searching for
* detector groups 'Malcontents' accross all analyzers.
*
* Example of malcontents: biased, harmful, toxic.
*/
malcontents?: { [k: string]: number } | undefined;
/**
* The modalities of data detected in the data.
*/
modalities?: Array<Modality> | undefined;
/**
* The level of general organization relevance of the input.
*/
relevance?: number | undefined;
/**
* The secrets found during classification.
*/
secrets?: { [k: string]: number } | undefined;
/**
* The topic of the classification.
*/
topics?: { [k: string]: number } | undefined;
};