import type { LanguageModel } from "ai";
/**
 * Result from precall evaluation of user input
 */
export type PrecallEvaluationResult = {
    overall: "safe" | "unsafe" | "suspicious" | "inappropriate";
    safetyScore: number;
    appropriatenessScore: number;
    confidenceLevel: number;
    issues?: {
        category: "explicit_content" | "hate_speech" | "violence" | "personal_info" | "spam" | "other";
        severity: "low" | "medium" | "high" | "critical";
        description: string;
    }[];
    suggestedAction: "allow" | "block" | "sanitize" | "warn";
    reasoning?: string;
};
export type IssueCategory = "explicit_content" | "hate_speech" | "violence" | "personal_info" | "spam" | "other";
export type IssueSeverity = "low" | "medium" | "high" | "critical";
export type EvaluationAction = "allow" | "block" | "sanitize" | "warn";
export type SafetyStatus = "safe" | "unsafe" | "suspicious" | "inappropriate";
export type EvaluationActions = {
    onUnsafe?: "block" | "sanitize" | "warn" | "log";
    onInappropriate?: "block" | "sanitize" | "warn" | "log";
    onSuspicious?: "warn" | "log" | "allow";
};
export type EvaluationThresholds = {
    safetyScore?: number;
    appropriatenessScore?: number;
    confidenceLevel?: number;
};
/**
 * Configuration for precall evaluation using AI models
 */
export type PrecallEvaluationConfig = {
    enabled?: boolean;
    provider?: string;
    evaluationModel?: string;
    evaluationPrompt?: string;
    actions?: EvaluationActions;
    thresholds?: EvaluationThresholds;
    blockUnsafeRequests?: boolean;
    /**
     * Regex patterns to use for sanitizing input when action is "sanitize".
     * Each pattern will be applied with the 'gi' flags (global, case-insensitive).
     * Matched content will be replaced with the value specified in `replacementText`.
     *
     * Example patterns:
     * - Email: '\\b[\\w.-]+@[\\w.-]+\\.\\w+\\b'
     * - Phone: '\\b\\d{3}[-.]?\\d{3}[-.]?\\d{4}\\b'
     * - SSN: '\\b\\d{3}-\\d{2}-\\d{4}\\b'
     * - Custom words: '\\b(word1|word2|word3)\\b'
     */
    sanitizationPatterns?: string[];
    /**
     * Text to use when replacing sanitized content.
     * @default '[REDACTED]'
     *
     * Examples:
     * - '[REDACTED]' (default)
     * - '***PRIVATE***'
     * - '####'
     * - '[FILTERED]'
     */
    replacementText?: string;
};
export type BadWordsConfig = {
    enabled?: boolean;
    list?: string[];
    regexPatterns?: string[];
    /**
     * Text to use when replacing filtered content.
     * @default '[REDACTED]'
     *
     * Examples:
     * - '[REDACTED]' (default)
     * - '***'
     * - '####'
     * - '[FILTERED]'
     */
    replacementText?: string;
};
export type ModelFilterConfig = {
    enabled?: boolean;
    filterModel?: LanguageModel;
};
/**
 * Configuration for the Guardrails middleware
 */
export type GuardrailsMiddlewareConfig = {
    badWords?: BadWordsConfig;
    modelFilter?: ModelFilterConfig;
    precallEvaluation?: PrecallEvaluationConfig;
};
export type EvaluationActionResult = {
    shouldBlock: boolean;
    sanitizedInput?: string;
};
export type EvaluationIssue = {
    category: IssueCategory;
    severity: IssueSeverity;
    description: string;
};
/**
 * Result from content filtering operation
 */
export type ContentFilteringResult = {
    filteredText: string;
    hasChanges: boolean;
    appliedFilters: string[];
    filteringStats: {
        regexPatternsApplied: number;
        stringFiltersApplied: number;
        totalMatches: number;
    };
};