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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@@ -13,6 +13,7 @@ export const AiSettingsFindFirstOrThrowSelectSchema: z.ZodType<Prisma.AiSettings
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id: z.boolean().optional(),
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userId: z.boolean().optional(),
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apiKey: z.boolean().optional(),
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afterHoursEnabled: z.boolean().optional(),
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user: z.boolean().optional()
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}).strict() as unknown as z.ZodType<Prisma.AiSettingsSelect>;
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@@ -20,6 +21,7 @@ export const AiSettingsFindFirstOrThrowSelectZodSchema = z.object({
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id: z.boolean().optional(),
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userId: z.boolean().optional(),
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apiKey: z.boolean().optional(),
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afterHoursEnabled: z.boolean().optional(),
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user: z.boolean().optional()
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}).strict();
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