feat: add AI settings routes, storage, UI card, and migration

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

apps/Backend/src/ai/reminder-graph.ts

@@ -0,0 +1,100 @@
+import { StateGraph, END, START, Annotation } from "@langchain/langgraph";
+import { ChatGoogleGenerativeAI } from "@langchain/google-genai";
+
+const GraphState = Annotation.Root({
+  message: Annotation<string>(),
+  intent: Annotation<string>(),
+  reply: Annotation<string>(),
+});
+
+type GraphStateType = typeof GraphState.State;
+
+// Keyword-based intent classifier — fast and deterministic for yes/no
+function classifyNode(state: GraphStateType) {
+  const text = state.message.toLowerCase().trim();
+
+  const yesPatterns = /\b(yes|yeah|yep|yup|sure|ok|okay|confirmed|confirm|will be there|sounds good|see you|great|perfect|absolutely|definitely)\b/;
+  const noPatterns = /\b(no|nope|can't|cannot|won't|not available|unavailable|cancel|reschedule|busy|sorry|unable|not coming|not going)\b/;
+
+  if (yesPatterns.test(text)) return { intent: "yes" };
+  if (noPatterns.test(text)) return { intent: "no" };
+  return { intent: "other" };
+}
+
+function routeByIntent(state: GraphStateType): string {
+  if (state.intent === "yes") return "thank_you";
+  if (state.intent === "no") return "reschedule";
+  return END;
+}
+
+async function thankYouNode(state: GraphStateType, config: any) {
+  const apiKey: string | undefined = config?.configurable?.apiKey;
+  const fallback = "Thank you for confirming your appointment! We look forward to seeing you.";
+
+  if (!apiKey) return { reply: fallback };
+
+  try {
+    const llm = new ChatGoogleGenerativeAI({ model: "gemini-1.5-flash", apiKey });
+    const response = await llm.invoke([
+      {
+        role: "system",
+        content:
+          "You are a friendly dental office assistant. Write a short, warm SMS reply (1-2 sentences max) thanking a patient who just confirmed their appointment. Do not add any formatting or extra text.",
+      },
+      { role: "user", content: `Patient replied: "${state.message}"` },
+    ]);
+    return { reply: String(response.content) || fallback };
+  } catch {
+    return { reply: fallback };
+  }
+}
+
+async function rescheduleNode(state: GraphStateType, config: any) {
+  const apiKey: string | undefined = config?.configurable?.apiKey;
+  const fallback = "We understand! Our assistant will contact you shortly to help reschedule.";
+
+  if (!apiKey) return { reply: fallback };
+
+  try {
+    const llm = new ChatGoogleGenerativeAI({ model: "gemini-1.5-flash", apiKey });
+    const response = await llm.invoke([
+      {
+        role: "system",
+        content:
+          "You are a friendly dental office assistant. Write a short, empathetic SMS reply (1-2 sentences max) to a patient who can't make their appointment. Tell them an assistant will contact them soon to reschedule. Do not add any formatting or extra text.",
+      },
+      { role: "user", content: `Patient replied: "${state.message}"` },
+    ]);
+    return { reply: String(response.content) || fallback };
+  } catch {
+    return { reply: fallback };
+  }
+}
+
+const graph = new StateGraph(GraphState)
+  .addNode("classify", classifyNode)
+  .addNode("thank_you", thankYouNode)
+  .addNode("reschedule", rescheduleNode)
+  .addEdge(START, "classify")
+  .addConditionalEdges("classify", routeByIntent, {
+    thank_you: "thank_you",
+    reschedule: "reschedule",
+    [END]: END,
+  })
+  .addEdge("thank_you", END)
+  .addEdge("reschedule", END)
+  .compile();
+
+export async function runReminderGraph(
+  patientMessage: string,
+  apiKey: string
+): Promise<{ reply: string | null; intent: string | null }> {
+  const result = await graph.invoke(
+    { message: patientMessage, intent: "", reply: "" },
+    { configurable: { apiKey } }
+  );
+  return {
+    reply: result.reply || null,
+    intent: result.intent || null,
+  };
+}

apps/Backend/src/routes/ai-settings.ts

@@ -0,0 +1,39 @@
+import express, { Request, Response } from "express";
+import { storage } from "../storage";
+
+const router = express.Router();
+
+// GET /api/ai/settings
+router.get("/settings", async (req: Request, res: Response): Promise<any> => {
+  try {
+    const userId = req.user?.id;
+    if (!userId) return res.status(401).json({ message: "Unauthorized" });
+
+    const settings = await storage.getAiSettings(userId);
+    if (!settings) return res.status(200).json(null);
+
+    return res.status(200).json({ id: settings.id, apiKey: settings.apiKey });
+  } catch (err) {
+    return res.status(500).json({ error: "Failed to fetch AI settings", details: String(err) });
+  }
+});
+
+// PUT /api/ai/settings
+router.put("/settings", async (req: Request, res: Response): Promise<any> => {
+  try {
+    const userId = req.user?.id;
+    if (!userId) return res.status(401).json({ message: "Unauthorized" });
+
+    const { apiKey } = req.body;
+    if (!apiKey?.trim()) {
+      return res.status(400).json({ message: "apiKey is required" });
+    }
+
+    const settings = await storage.upsertAiSettings(userId, apiKey.trim());
+    return res.status(200).json({ id: settings.id, apiKey: settings.apiKey });
+  } catch (err) {
+    return res.status(500).json({ error: "Failed to save AI settings", details: String(err) });
+  }
+});
+
+export default router;

apps/Backend/src/storage/ai-settings-storage.ts

@@ -0,0 +1,15 @@
+import { prisma as db } from "@repo/db/client";
+
+export const aiSettingsStorage = {
+  async getAiSettings(userId: number) {
+    return db.aiSettings.findUnique({ where: { userId } });
+  },
+
+  async upsertAiSettings(userId: number, apiKey: string) {
+    return db.aiSettings.upsert({
+      where: { userId },
+      update: { apiKey },
+      create: { userId, apiKey },
+    });
+  },
+};

apps/Frontend/src/components/settings/ai-settings-card.tsx

@@ -0,0 +1,131 @@
+import { useState, useEffect } from "react";
+import { useQuery, useMutation } from "@tanstack/react-query";
+import { Card, CardContent } from "@/components/ui/card";
+import { Eye, EyeOff, CheckCircle } from "lucide-react";
+import { useToast } from "@/hooks/use-toast";
+import { apiRequest, queryClient } from "@/lib/queryClient";
+
+type AiSettings = {
+  id?: number;
+  apiKey: string;
+};
+
+export function AiSettingsCard() {
+  const { toast } = useToast();
+  const [apiKey, setApiKey] = useState("");
+  const [showKey, setShowKey] = useState(false);
+
+  const { data: settings, isLoading } = useQuery<AiSettings | null>({
+    queryKey: ["/api/ai/settings"],
+    queryFn: async () => {
+      const res = await apiRequest("GET", "/api/ai/settings");
+      if (!res.ok) return null;
+      return res.json();
+    },
+  });
+
+  useEffect(() => {
+    if (settings) {
+      setApiKey(settings.apiKey ?? "");
+    }
+  }, [settings]);
+
+  const saveMutation = useMutation({
+    mutationFn: async (data: { apiKey: string }) => {
+      const res = await apiRequest("PUT", "/api/ai/settings", data);
+      if (!res.ok) {
+        const err = await res.json().catch(() => null);
+        throw new Error(err?.message || "Failed to save AI settings");
+      }
+      return res.json();
+    },
+    onSuccess: () => {
+      queryClient.invalidateQueries({ queryKey: ["/api/ai/settings"] });
+      toast({ title: "AI Settings Saved", description: "Your Google AI API key has been saved." });
+    },
+    onError: (err: any) => {
+      toast({ title: "Error", description: err?.message || "Failed to save AI settings", variant: "destructive" });
+    },
+  });
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    if (!apiKey.trim()) return;
+    saveMutation.mutate({ apiKey: apiKey.trim() });
+  };
+
+  const isConfigured = !!settings?.apiKey;
+
+  return (
+    <Card>
+      <CardContent className="space-y-4 py-6">
+        <div className="flex items-center gap-2">
+          <h3 className="text-lg font-semibold">Google AI Settings</h3>
+          {isConfigured && (
+            <span className="flex items-center gap-1 text-xs text-green-600 font-medium">
+              <CheckCircle className="h-3.5 w-3.5" /> Configured
+            </span>
+          )}
+        </div>
+        <p className="text-sm text-gray-500">
+          Enter your Google AI Studio API key to enable AI-powered SMS replies. When a patient responds to an
+          appointment reminder, the AI will automatically reply based on their answer.
+        </p>
+
+        {isLoading ? (
+          <p className="text-sm text-gray-400">Loading...</p>
+        ) : (
+          <form className="space-y-4" onSubmit={handleSubmit}>
+            <div>
+              <label className="block text-sm font-medium">Google AI Studio API Key</label>
+              <div className="relative mt-1">
+                <input
+                  type={showKey ? "text" : "password"}
+                  value={apiKey}
+                  onChange={(e) => setApiKey(e.target.value)}
+                  className="p-2 border rounded w-full pr-10 font-mono text-sm"
+                  placeholder="AIza••••••••••••••••••••••••••••••••••••••"
+                  required
+                />
+                <button
+                  type="button"
+                  onClick={() => setShowKey((v) => !v)}
+                  className="absolute inset-y-0 right-2 flex items-center text-gray-500 hover:text-gray-700"
+                  tabIndex={-1}
+                >
+                  {showKey ? <EyeOff size={16} /> : <Eye size={16} />}
+                </button>
+              </div>
+              <p className="text-xs text-gray-500 mt-1">
+                Get your free key from{" "}
+                <span className="font-medium">Google AI Studio</span> → Get API Key.
+              </p>
+            </div>
+
+            <div className="flex items-center gap-3 pt-1">
+              <button
+                type="submit"
+                className="bg-teal-600 text-white px-4 py-2 rounded hover:bg-teal-700 text-sm"
+                disabled={saveMutation.isPending}
+              >
+                {saveMutation.isPending ? "Saving..." : "Save AI Settings"}
+              </button>
+            </div>
+
+            {isConfigured && (
+              <div className="mt-2 p-3 bg-gray-50 rounded border text-xs text-gray-600 space-y-1">
+                <p className="font-medium text-gray-700">AI Auto-Reply Rules</p>
+                <p>
+                  <span className="text-green-600 font-medium">Patient replies "Yes"</span> → AI sends a thank-you confirmation
+                </p>
+                <p>
+                  <span className="text-red-500 font-medium">Patient replies "No" / "Not available"</span> → AI notifies them an assistant will follow up
+                </p>
+              </div>
+            )}
+          </form>
+        )}
+      </CardContent>
+    </Card>
+  );
+}