feat: add internal AI chat assistant and AI Input Agent page
- Add Gemini-powered internal staff chatbot (free-text input in the upper-right bot panel): type "check MARIA GONZALES" to search patient and pre-fill eligibility, or "open claims" to navigate directly - Add /api/ai/internal-chat endpoint with LangGraph + Google Gemini classifier (intent: check_eligibility, find_patient, navigate_*) - Add Users AI Chat settings section in Settings > Advanced > AI Chat to configure a custom system prompt for the internal assistant - Store internal chat system prompt in existing twilioSettings JSON blob (no DB migration needed) - Add AI Input Agent sidebar entry and placeholder page describing planned keyboard-automation typing into Open Dental / Eaglesoft Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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69
apps/Backend/src/ai/internal-chat-graph.ts
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69
apps/Backend/src/ai/internal-chat-graph.ts
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import { ChatGoogleGenerativeAI } from "@langchain/google-genai";
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export type InternalChatIntent =
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| "check_eligibility"
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| "find_patient"
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| "navigate_claims"
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| "navigate_schedule"
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| "general";
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export interface ChatClassification {
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intent: InternalChatIntent;
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patientName?: string;
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fallbackReply: string;
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}
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const BASE_SYSTEM_PROMPT = `You are an internal assistant for a dental office management system.
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Staff members type natural language commands and you classify what they want.
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Respond ONLY with valid JSON (no markdown, no code fences) in this exact format:
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{
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"intent": "<one of the intents below>",
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"patientName": "<full name if patient is mentioned, otherwise omit>",
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"fallbackReply": "<a short, helpful reply to show the user>"
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}
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Intents:
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- check_eligibility: user wants to check insurance eligibility for a patient (e.g. "check MARIA", "verify insurance for John Smith", "eligibility GONZALES")
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- find_patient: user wants to look up a patient record only (e.g. "find patient John", "look up Smith", "show me GONZALES record")
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- navigate_claims: user wants to open the claims page
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- navigate_schedule: user wants to open the appointments/schedule page
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- general: anything else — answer helpfully based on dental office context
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Rules:
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- Extract the full patient name as-is from the message for check_eligibility and find_patient
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- Keep fallbackReply to 1-2 sentences max
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- For navigate intents, fallbackReply should say "Opening the [page] page..."`;
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export async function classifyInternalChat(
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message: string,
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apiKey: string,
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extraSystemPrompt?: string
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): Promise<ChatClassification> {
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const fallback: ChatClassification = {
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intent: "general",
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fallbackReply: "I can help you search for a patient, check eligibility, or navigate to claims or appointments.",
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};
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if (!apiKey) return fallback;
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const systemPrompt = extraSystemPrompt
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? `${BASE_SYSTEM_PROMPT}\n\nAdditional office context:\n${extraSystemPrompt}`
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: BASE_SYSTEM_PROMPT;
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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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{ role: "system", content: systemPrompt },
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{ role: "user", content: message },
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]);
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const raw = String(response.content).trim();
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const jsonStr = raw.replace(/^```json\s*/i, "").replace(/```\s*$/, "").trim();
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const parsed = JSON.parse(jsonStr) as ChatClassification;
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if (!parsed.intent || !parsed.fallbackReply) return fallback;
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return parsed;
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} catch {
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return fallback;
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}
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}
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