feat: AI chat scheduling, claim automation, and session improvements

- Internal AI chat: schedule_appointment intent books earliest available
  slot in Column A using office hours; claim_only intent looks up latest
  past appointment for service date, asks user when two appointments are
  within 7 days, auto-triggers correct Selenium worker with mapped prices
- Gemini model updated to gemini-flash-latest; conversation history (15
  messages) passed for pronoun/reference resolution; history trimmed to
  start with user turn so Gemini doesn't reject the context
- Insurance alias file (insuranceAliases.json) replaces hardcoded siteKey
  matching; "tufs" now resolves to TUFTS_SCO
- DOB format normalized (MM/DD/YYYY → YYYY-MM-DD) before parseLocalDate;
  autoCheck now fires for all insurance types, not just MH/CMSP
- Claim form auto-submit: all handlers (MH, CCA, DDMA, UnitedDH, Tufts)
  accept formToUse and receive fee-schedule-priced form; prefillDone set
  after chatbot code prefill so autoSubmit gate opens correctly
- Chatbot: chat history persisted in sessionStorage, cleared on logout
  and auto-logout; Clear button writes fresh state synchronously; message
  history window increased to 15
- DentaQuest/TuftsSCO Selenium: "Remember me" checkbox clicked before
  sign-in to persist OTP trust cookie across sessions

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

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

@@ -165,7 +165,7 @@ router.post("/internal-chat", async (req: Request, res: Response): Promise<any>
     const userId = req.user?.id;
     if (!userId) return res.status(401).json({ message: "Unauthorized" });
 
-    const { message } = req.body;
+    const { message, history } = req.body;
     if (!message?.trim()) return res.status(400).json({ message: "message is required" });
 
     const aiSettings = await storage.getAiSettings(userId);
@@ -183,7 +183,8 @@ router.post("/internal-chat", async (req: Request, res: Response): Promise<any>
     const classification = await classifyInternalChat(
       message.trim(),
       aiSettings.apiKey,
-      extraSystemPrompt || undefined
+      extraSystemPrompt || undefined,
+      Array.isArray(history) ? history : []
     );
 
     const response = await runInternalChatWorkflow(classification, userId, storage, customAliases);