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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Gitead
@@ -7,6 +7,8 @@ const GraphState = Annotation.Root({
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reply: Annotation<string>(),
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language: Annotation<string>(),
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appointmentDatetime: Annotation<string>(),
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rescheduleGreeting: 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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@@ -27,7 +29,7 @@ function classifyNode(state: GraphStateType) {
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function routeByIntent(state: GraphStateType): string {
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if (state.intent === "yes") return "confirm";
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if (state.intent === "no") return "reschedule";
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return END;
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return "other";
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}
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// ── Confirmation fallbacks (with appointment datetime) ────────────────────────
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@@ -58,6 +60,30 @@ const RESCHEDULE_FALLBACKS: Record<string, string> = {
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"Haitian Creole": "Nou konprann! Èske ou ta renmen repwograme randevou ou?",
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};
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// ── New-appointment fallbacks (other intent, appointment keywords detected) ───
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const NEW_APPT_FALLBACKS: Record<string, string> = {
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English: "Of course! Are you a new patient or an existing patient?",
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Spanish: "¡Por supuesto! ¿Es usted un paciente nuevo o ya ha visitado nuestra clínica?",
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Portuguese: "Claro! Você é um paciente novo ou já veio ao nosso consultório antes?",
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Mandarin: "当然！您是新患者还是我们的现有患者？",
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Cantonese: "當然！您係新病人定係我們的舊病人？",
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Arabic: "بالطبع! هل أنت مريض جديد أم مريض حالي؟",
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"Haitian Creole": "Byensèten! Èske ou se yon nouvo pasyan oswa yon pasyan egzistan?",
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};
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// ── General-other fallbacks ───────────────────────────────────────────────────
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const GENERAL_FALLBACKS: Record<string, string> = {
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English: "Thank you for your message! Our office staff will be happy to assist you shortly.",
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Spanish: "¡Gracias por su mensaje! El personal de nuestra oficina estará encantado de ayudarle en breve.",
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Portuguese: "Obrigado pela sua mensagem! Nossa equipe terá prazer em ajudá-lo em breve.",
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Mandarin: "感谢您的留言！我们的办公室工作人员将很快为您提供帮助。",
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Cantonese: "感謝您的留言！我們的辦公室工作人員將很快為您提供幫助。",
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Arabic: "شكراً على رسالتك! سيسعد فريق مكتبنا بمساعدتك قريباً.",
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"Haitian Creole": "Mèsi pou mesaj ou! Ekip biwo nou an pral kontan ede ou byento.",
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};
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// ── LangGraph nodes ───────────────────────────────────────────────────────────
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async function confirmNode(state: GraphStateType, config: any) {
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@@ -88,7 +114,7 @@ async function confirmNode(state: GraphStateType, config: any) {
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async function rescheduleNode(state: GraphStateType, config: any) {
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const apiKey: string | undefined = config?.configurable?.apiKey;
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const lang = state.language || "English";
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const fallback = RESCHEDULE_FALLBACKS[lang] ?? RESCHEDULE_FALLBACKS["English"]!;
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const fallback = state.rescheduleGreeting || (RESCHEDULE_FALLBACKS[lang] ?? RESCHEDULE_FALLBACKS["English"]!);
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if (!apiKey) return { reply: fallback };
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@@ -108,30 +134,76 @@ async function rescheduleNode(state: GraphStateType, config: any) {
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}
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}
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async function otherNode(state: GraphStateType, config: any) {
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const apiKey: string | undefined = config?.configurable?.apiKey;
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const lang = state.language || "English";
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const text = state.message.toLowerCase();
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const isAppointmentRequest = /appointment|schedule|book|come in|visit|check.?up|cleaning|tooth|teeth|pain|dental|another|new appt/i.test(text);
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if (isAppointmentRequest) {
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const fallback = NEW_APPT_FALLBACKS[lang] ?? NEW_APPT_FALLBACKS["English"]!;
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if (!apiKey) return { reply: fallback, intent: "wants_appointment" };
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try {
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const llm = new ChatGoogleGenerativeAI({ model: "gemini-1.5-flash", apiKey });
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const response = await llm.invoke([
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{
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role: "system",
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content: `You are a friendly dental office AI assistant named Lisa. The patient wants to schedule an appointment. Ask them in ${lang} whether they are a new patient or an existing patient. One sentence, no formatting.`,
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},
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{ role: "user", content: `Patient said: "${state.message}"` },
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]);
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return { reply: String(response.content) || fallback, intent: "wants_appointment" };
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} catch {
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return { reply: fallback, intent: "wants_appointment" };
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}
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}
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const fallback = state.generalFallback || (GENERAL_FALLBACKS[lang] ?? GENERAL_FALLBACKS["English"]!);
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if (!apiKey) return { reply: fallback };
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try {
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const llm = new ChatGoogleGenerativeAI({ model: "gemini-1.5-flash", apiKey });
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const response = await llm.invoke([
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{
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role: "system",
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content: `You are a friendly dental office AI assistant named Lisa. Respond helpfully to the patient's message in ${lang}. Keep it to 1-2 sentences, no formatting. For non-dental questions, let them know our office staff can assist.`,
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},
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{ role: "user", content: `Patient said: "${state.message}"` },
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]);
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return { reply: String(response.content) || fallback };
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} catch {
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return { reply: fallback };
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}
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}
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// ── Graph ─────────────────────────────────────────────────────────────────────
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const graph = new StateGraph(GraphState)
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.addNode("classify", classifyNode)
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.addNode("confirm", confirmNode)
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.addNode("reschedule", rescheduleNode)
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.addNode("other", otherNode)
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.addEdge(START, "classify")
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.addConditionalEdges("classify", routeByIntent, {
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confirm: "confirm",
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reschedule: "reschedule",
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[END]: END,
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other: "other",
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})
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.addEdge("confirm", END)
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.addEdge("reschedule", END)
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.addEdge("other", END)
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.compile();
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export async function runReminderGraph(
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patientMessage: string,
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apiKey: string,
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language = "English",
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appointmentDatetime = ""
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appointmentDatetime = "",
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rescheduleGreeting = "",
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generalFallback = ""
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): Promise<{ reply: string | null; intent: string | null }> {
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const result = await graph.invoke(
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{ message: patientMessage, intent: "", reply: "", language, appointmentDatetime },
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{ message: patientMessage, intent: "", reply: "", language, appointmentDatetime, rescheduleGreeting, generalFallback },
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{ configurable: { apiKey } }
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);
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return {
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