Files
DentalManagementMH06/packages/db/shared/schemas/objects/PatientConversationAvgAggregateInput.schema.ts
Gitead 112529155c 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>
2026-05-09 15:23:55 -04:00

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538 B
TypeScript

import * as z from 'zod';
import type { Prisma } from '../../../generated/prisma';
const makeSchema = () => z.object({
id: z.literal(true).optional(),
patientId: z.literal(true).optional(),
userId: z.literal(true).optional()
}).strict();
export const PatientConversationAvgAggregateInputObjectSchema: z.ZodType<Prisma.PatientConversationAvgAggregateInputType> = makeSchema() as unknown as z.ZodType<Prisma.PatientConversationAvgAggregateInputType>;
export const PatientConversationAvgAggregateInputObjectZodSchema = makeSchema();