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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@@ -5,12 +5,13 @@ import type { ConversationStage } from "./aiHandoffStore";
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// ── Graph state ───────────────────────────────────────────────────────────────
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const GraphState = Annotation.Root({
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message: Annotation<string>(),
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stage: Annotation<string>(),
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intent: Annotation<string>(),
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reply: Annotation<string>(),
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language: Annotation<string>(),
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nextStage: Annotation<string>(),
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message: Annotation<string>(),
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stage: Annotation<string>(),
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intent: Annotation<string>(),
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reply: Annotation<string>(),
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language: Annotation<string>(),
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nextStage: Annotation<string>(),
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generalFallback: Annotation<string>(),
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});
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type GraphStateType = typeof GraphState.State;
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@@ -377,7 +378,7 @@ async function handleSelfPayNode(state: GraphStateType, config: any) {
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function transferNode(state: GraphStateType) {
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const lang = state.language || "English";
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return { reply: transferMsg(lang), nextStage: "done" };
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return { reply: state.generalFallback || transferMsg(lang), nextStage: "done" };
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}
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// ── Graph assembly ────────────────────────────────────────────────────────────
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@@ -419,13 +420,14 @@ const graph = new StateGraph(GraphState)
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// ── Public API ────────────────────────────────────────────────────────────────
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export async function runNewPatientStep(
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message: string,
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stage: ConversationStage,
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language: string,
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apiKey: string
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message: string,
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stage: ConversationStage,
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language: string,
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apiKey: string,
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generalFallback = ""
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): Promise<{ reply: string; nextStage: ConversationStage }> {
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const result = await graph.invoke(
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{ message, stage, intent: "", reply: "", language, nextStage: "" },
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{ message, stage, intent: "", reply: "", language, nextStage: "", generalFallback },
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{ configurable: { apiKey } }
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);
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return {
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