Add Ask Mento, customer mood, and Pipecat speech-to-text.
Ship assistant answers, contact moods, voice dictation, and the related CRM UI so these can be deployed to production. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -169,6 +169,16 @@ export interface LoyaltyTierSummaryDto {
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color: string | null;
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}
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export const PERSON_MOODS = ["newcomer", "happy", "unhappy", "special"] as const;
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export type PersonMood = (typeof PERSON_MOODS)[number];
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export const PERSON_MOOD_LABELS: Record<PersonMood, string> = {
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newcomer: "مشتری تازه وارد",
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happy: "مشتری خوشحال",
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unhappy: "مشتری ناراضی",
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special: "مشتری خاص",
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};
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export interface PersonDto {
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id: string;
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firstName: string;
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@@ -179,6 +189,7 @@ export interface PersonDto {
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mobile: string | null;
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position: string | null;
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notes: string | null;
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mood: PersonMood;
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customFields: Record<string, unknown>;
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loyaltyPoints: number;
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loyaltyTier: LoyaltyTierSummaryDto | null;
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@@ -196,6 +207,7 @@ export interface CreatePersonRequest {
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mobile?: string;
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position?: string;
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notes?: string;
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mood?: PersonMood;
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companyId?: string | null;
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customFields?: Record<string, unknown>;
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ownerId?: string | null;
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@@ -523,6 +535,30 @@ export interface ApplyNoteAiSuggestionRequest {
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memoryItems?: Array<{ index: number; content: string }>;
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}
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export type AskMentoSourceType = 'person' | 'note' | 'activity' | 'deal' | 'memory';
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export interface AskMentoSourceDto {
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type: AskMentoSourceType;
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id: string;
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label: string;
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}
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export interface AskMentoRequest {
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question: string;
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personId?: string;
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}
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export interface AskMentoResponse {
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answer: string;
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sources: AskMentoSourceDto[];
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}
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export interface PersonAiSummaryDto {
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text: string;
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cta: string;
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ctaKind: 'call' | 'activity';
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}
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export interface MemoryItemDto {
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id: string;
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personId: string;
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