feat: AI chat system with LangGraph, multi-step patient flows, and appointment rescheduling
- Add floating chat window Hand-off to AI toggle (per-patient) and after-hours AI toggle (global) - Add LangGraph-powered appointment reminder flow: AI introduces itself, classifies YES/NO, handles confirmation with appointment date/time - Add multi-step rescheduling flow: ASAP vs next week, tomorrow offer, Mon/Tue/Wed picker, morning/afternoon time slot — automatically updates appointment in DB - Add new patient / after-hours flow: new vs existing patient, dental insurance check, MassHealth Selenium eligibility check (auto-uses saved member ID + DOB for existing patients), self-pay fallback - Add AI Chat Settings page (Settings → Advanced) with editable greeting templates and LangGraph flow diagrams for both reminder and new-patient flows - Add Schedule a New Patient template option in chat window, starts new-patient conversation flow - Add GET/PUT endpoints for AI handoff, after-hours handoff, and AI chat templates - Add multilingual support (7 languages) across all AI reply nodes with LLM generation and hardcoded fallbacks - Add pending reschedule in-memory store and conversation stage tracking across all flows Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -36,4 +36,30 @@ router.put("/settings", async (req: Request, res: Response): Promise<any> => {
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}
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});
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// GET /api/ai/chat-templates
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router.get("/chat-templates", async (req: Request, res: Response): Promise<any> => {
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try {
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const userId = req.user?.id;
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if (!userId) return res.status(401).json({ message: "Unauthorized" });
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const templates = await storage.getAiChatTemplates(userId);
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return res.status(200).json(templates);
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} catch (err) {
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return res.status(500).json({ error: "Failed to fetch AI chat templates", details: String(err) });
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}
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});
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// PUT /api/ai/chat-templates
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router.put("/chat-templates", async (req: Request, res: Response): Promise<any> => {
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try {
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const userId = req.user?.id;
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if (!userId) return res.status(401).json({ message: "Unauthorized" });
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const { reminderGreeting, newPatientGreeting, generalFallback } = req.body;
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await storage.saveAiChatTemplates(userId, { reminderGreeting, newPatientGreeting, generalFallback });
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const updated = await storage.getAiChatTemplates(userId);
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return res.status(200).json(updated);
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} catch (err) {
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return res.status(500).json({ error: "Failed to save AI chat templates", details: String(err) });
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}
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});
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export default router;
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