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>

packages/db/shared/schemas/createManyPatientConversation.schema.ts

@@ -0,0 +1,7 @@
+import type { Prisma } from '../../generated/prisma';
+import * as z from 'zod';
+import { PatientConversationCreateManyInputObjectSchema as PatientConversationCreateManyInputObjectSchema } from './objects/PatientConversationCreateManyInput.schema';
+
+export const PatientConversationCreateManySchema: z.ZodType<Prisma.PatientConversationCreateManyArgs> = z.object({ data: z.union([ PatientConversationCreateManyInputObjectSchema, z.array(PatientConversationCreateManyInputObjectSchema) ]), skipDuplicates: z.boolean().optional() }).strict() as unknown as z.ZodType<Prisma.PatientConversationCreateManyArgs>;
+
+export const PatientConversationCreateManyZodSchema = z.object({ data: z.union([ PatientConversationCreateManyInputObjectSchema, z.array(PatientConversationCreateManyInputObjectSchema) ]), skipDuplicates: z.boolean().optional() }).strict();