feat: persist AI conversation state in DB and fix LangGraph flow bugs
- Replace in-memory Maps in aiHandoffStore with DB-backed async functions using new patient_conversation table (stage + aiHandoff per patient) - Add afterHoursEnabled to ai_settings table (persists across restarts) - Fix runtime crash in reschedule-graph: mon/tue/wed variables were out of scope in the next-week fallback branch (ReferenceError) - Wire rescheduleGreeting and generalFallback chat templates through to LangGraph nodes so user-configured messages take effect - Add otherNode to reminder-graph to handle unclassified patient replies (e.g. "I want another appointment") and route to booking flow - Fetch chatTemplates once per webhook request instead of per stage Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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import * as z from 'zod';
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import type { Prisma } from '../../../generated/prisma';
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import { PatientConversationSelectObjectSchema as PatientConversationSelectObjectSchema } from './PatientConversationSelect.schema';
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import { PatientConversationIncludeObjectSchema as PatientConversationIncludeObjectSchema } from './PatientConversationInclude.schema'
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const makeSchema = () => z.object({
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select: z.lazy(() => PatientConversationSelectObjectSchema).optional(),
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include: z.lazy(() => PatientConversationIncludeObjectSchema).optional()
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}).strict();
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export const PatientConversationArgsObjectSchema = makeSchema();
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export const PatientConversationArgsObjectZodSchema = makeSchema();
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