ai-audit-sdk/dist/types.d.ts

SDK for logging AI/ML decisions with compliance tracking

/**
 * Type definitions for AI Audit Trail SDK
 */
export interface AuditMetadata {
    [key: string]: any;
    userId?: string;
    sessionId?: string;
    ipAddress?: string;
    userAgent?: string;
    tags?: string[];
}
export interface LogDecisionOptions {
    input: string;
    output: string;
    modelName?: string;
    metadata?: AuditMetadata;
    confidence?: number;
    responseTime?: number;
    provider?: string;
    modelVersion?: string;
    riskLevel?: 'low' | 'medium' | 'high';
    promptTokens?: number;
    completionTokens?: number;
    totalTokens?: number;
    costMicros?: number;
    externalRef?: string;
    dataSubjectId?: string;
    lawfulBasis?: string;
    automatedDecision?: boolean;
    redactPII?: boolean;
    priority?: 'low' | 'normal' | 'high';
}
export interface AuditLoggerConfig {
    apiKey: string;
    /**
     * Request timeout in milliseconds. If not provided, will use:
     *   - AI_AUDIT_TIMEOUT env var (ms) if set (e.g. 15000)
     *   - default 15000ms (15s) read timeout
     */
    timeout?: number;
    /**
     * Maximum retry attempts after the initial request (default 2 => up to 3 total tries)
     */
    maxRetries?: number;
    /**
     * Base delay (ms) for exponential backoff (default 500). Actual delay: base * 2^attempt + jitter.
     */
    backoffBaseMs?: number;
    /**
     * Maximum total delay cap between retries (ms). If omitted, uncapped.
     */
    backoffCapMs?: number;
    /**
     * Enable debug logging to console.
     */
    debug?: boolean;
}
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