feat: AI chat system with LangGraph, multi-step patient flows, and appointment rescheduling
- Add floating chat window Hand-off to AI toggle (per-patient) and after-hours AI toggle (global) - Add LangGraph-powered appointment reminder flow: AI introduces itself, classifies YES/NO, handles confirmation with appointment date/time - Add multi-step rescheduling flow: ASAP vs next week, tomorrow offer, Mon/Tue/Wed picker, morning/afternoon time slot — automatically updates appointment in DB - Add new patient / after-hours flow: new vs existing patient, dental insurance check, MassHealth Selenium eligibility check (auto-uses saved member ID + DOB for existing patients), self-pay fallback - Add AI Chat Settings page (Settings → Advanced) with editable greeting templates and LangGraph flow diagrams for both reminder and new-patient flows - Add Schedule a New Patient template option in chat window, starts new-patient conversation flow - Add GET/PUT endpoints for AI handoff, after-hours handoff, and AI chat templates - Add multilingual support (7 languages) across all AI reply nodes with LLM generation and hardcoded fallbacks - Add pending reschedule in-memory store and conversation stage tracking across all flows Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -18,6 +18,7 @@ import { AiSettingsArgsObjectSchema as AiSettingsArgsObjectSchema } from './AiSe
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import { OfficeHoursArgsObjectSchema as OfficeHoursArgsObjectSchema } from './OfficeHoursArgs.schema';
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import { OfficeContactArgsObjectSchema as OfficeContactArgsObjectSchema } from './OfficeContactArgs.schema';
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import { ProcedureTimeslotArgsObjectSchema as ProcedureTimeslotArgsObjectSchema } from './ProcedureTimeslotArgs.schema';
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import { InsuranceContactFindManySchema as InsuranceContactFindManySchema } from '../findManyInsuranceContact.schema';
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import { UserCountOutputTypeArgsObjectSchema as UserCountOutputTypeArgsObjectSchema } from './UserCountOutputTypeArgs.schema'
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const makeSchema = () => z.object({
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@@ -44,6 +45,7 @@ const makeSchema = () => z.object({
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officeHours: z.union([z.boolean(), z.lazy(() => OfficeHoursArgsObjectSchema)]).optional(),
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officeContact: z.union([z.boolean(), z.lazy(() => OfficeContactArgsObjectSchema)]).optional(),
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procedureTimeslot: z.union([z.boolean(), z.lazy(() => ProcedureTimeslotArgsObjectSchema)]).optional(),
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insuranceContacts: z.union([z.boolean(), z.lazy(() => InsuranceContactFindManySchema)]).optional(),
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_count: z.union([z.boolean(), z.lazy(() => UserCountOutputTypeArgsObjectSchema)]).optional()
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}).strict();
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export const UserSelectObjectSchema: z.ZodType<Prisma.UserSelect> = makeSchema() as unknown as z.ZodType<Prisma.UserSelect>;
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