Files
Wellspringmanagement01/apps/Backend/src/ai/internal-chat-graph.ts
T
GiteadandClaude Sonnet 4.6 a2621eba6c fix: recognize NPA shorthand and ordinal PA names (3rd pa → D0230)
- Add parseMultiPaCode: "4PA #3 #14 #19 #30" expands to D0220 + 3× D0230 with tooth numbers
- Add "3rd pa"–"6th pa" direct aliases → D0230 as fallback
- Tighten LLM prompt to always use "2nd pa" for all additional PAs, never "3rd pa" etc.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-22 12:15:22 -04:00

243 lines
16 KiB
TypeScript

import { getLlm, type AiProvider } from "./llm-factory";
// ─── Intent types ─────────────────────────────────────────────────────────────
export type InternalChatIntent =
| "check_eligibility" // by patient name → look up in DB
| "eligibility_by_id" // by explicit memberId + dob (no name)
| "batch_eligibility" // multiple patients by memberId + dob
| "batch_eligibility_by_name" // multiple patients by name (no memberId)
| "batch_claim" // claim same procedures for multiple patients by name
| "batch_check_and_claim" // eligibility + claim for multiple patients by memberId+dob
| "check_and_claim" // eligibility + claim procedures
| "find_patient" // look up patient record only
| "schedule_appointment" // add patient to today's (or specified) schedule
| "claim_only" // submit claim for procedures (no eligibility check)
| "preauth" // submit pre-authorization for procedures
| "navigate_claims"
| "navigate_schedule"
| "navigate_eligibility"
| "general";
export interface ChatClassification {
intent: InternalChatIntent;
// --- patient resolution (one of name OR id+dob) ---
patientName?: string; // for check_eligibility / find_patient / schedule_appointment
memberId?: string; // for eligibility_by_id / check_and_claim
dob?: string; // for eligibility_by_id / check_and_claim (MM/DD/YYYY)
// --- batch eligibility (multiple patients) ---
patients?: { memberId: string; dob: string }[]; // for batch_eligibility
// --- batch claim (same procedures for multiple patients by name) ---
patientNames?: string[]; // for batch_claim
// --- insurance hint (only if explicitly stated in the message) ---
insuranceHint?: string; // raw text, e.g. "masshealth", "BCBS", "CCA"
// --- rendering/treating provider (only if explicitly stated, e.g. "with provider Kai Gao") ---
renderingProvider?: string; // raw name, e.g. "Kai Gao", "Dr. Smith"
// --- procedures (raw text, NOT CDT codes — CDT lookup is done in workflow) ---
procedureNames?: string[]; // for check_and_claim, e.g. ["perio exam", "adult cleaning"]
// --- scheduling ---
appointmentDate?: string; // for schedule_appointment, YYYY-MM-DD (omit = today)
appointmentTime?: string; // for schedule_appointment, HH:MM 24h (omit = 09:00)
fallbackReply: string;
}
// ─── System prompt ────────────────────────────────────────────────────────────
function buildSystemPrompt(today: string, extra?: string | null): string {
const base = `You are an internal assistant for a dental office management app.
Staff type natural language commands. Your ONLY job is to classify the intent and extract
structured parameters. Do NOT map procedure names to CDT codes — return them as plain text.
TODAY'S DATE: ${today}
Respond ONLY with valid JSON (no markdown fences):
{
"intent": "<intent>",
"patientName": "<full name if mentioned by name>",
"memberId": "<member/insurance ID if given explicitly or found in history>",
"dob": "<date of birth in MM/DD/YYYY if given explicitly or found in history>",
"patients": [{"memberId": "<id>", "dob": "<MM/DD/YYYY>"}, ...],
"patientNames": ["<name1>", "<name2>", ...],
"insuranceHint": "<insurance name only if explicitly stated in the message, e.g. 'masshealth', 'BCBS MA', 'CCA'>",
"renderingProvider": "<provider/doctor name only if explicitly stated, e.g. 'Kai Gao', 'Dr. Smith' — omit if not mentioned>",
"procedureNames": ["<raw procedure name>", ...],
"appointmentDate": "<YYYY-MM-DD; use today's date (${today}) if user says 'today'; omit only if no date is mentioned at all>",
"appointmentTime": "<HH:MM 24h if a specific time is mentioned, omit if not stated>",
"fallbackReply": "<1-2 sentence reply to show the user>"
}
Omit any field that is not present in the message or history.
Intents:
- check_eligibility : user wants to check insurance for a patient identified by NAME only
e.g. "check Maria Jesus", "verify insurance for John Smith"
- eligibility_by_id : user provides a SINGLE member ID and date of birth (no patient name)
e.g. "check masshealth for 100xxxx, 10/10/1988"
ALSO use this when user wants to check eligibility AND schedule/add an appointment on a date
e.g. "check mh for 100xxxx, 10/10/1988 and schedule on 4/10/2026"
e.g. "check mh for 100xxxx, 10/10/1988 and make appointment on 5/1/2026"
In these cases set appointmentDate to the mentioned date (YYYY-MM-DD)
- batch_eligibility : user provides MULTIPLE member IDs with dates of birth in one message
e.g. "check mh for 100xxxx 10/10/1988 and 200xxxx 5/5/2000"
e.g. "check 100xxxx, 10/10/1988 and 200xxxx, 5/5/2000"
Use this ONLY when TWO OR MORE distinct memberId+dob pairs are given.
Put each pair into the "patients" array. Also set insuranceHint if stated.
- batch_eligibility_by_name : user wants to check eligibility for MULTIPLE patients identified by NAME
e.g. "check Mary and Sinthia", "check eligibility for John, Jane, and Bob"
e.g. "verify insurance for Mary and Sinthia"
Use this when TWO OR MORE patient names are given WITHOUT member IDs.
Put each patient name into the "patientNames" array.
- batch_claim : user wants to claim the SAME procedures for MULTIPLE patients identified by NAME
e.g. "claim perio exam and adult prophy for Jackaline and Keioson"
e.g. "perio exam, adult cleaning for Maria and John"
Use this ONLY when procedures AND two or more patient names are given.
Put each patient name into the "patientNames" array. Put procedure names in "procedureNames".
- batch_check_and_claim : user provides MULTIPLE member IDs with DOBs AND wants to claim PROCEDURES for all of them
e.g. "check mh for 100xxxx 10/10/1988 and 200xxxx 5/5/2000, and claim perio exam and adult prophy"
e.g. "check 100xxxx, 10/10/1988 and 200xxxx, 5/5/2000 and claim D0120 D1110 for them"
Use this when TWO OR MORE memberId+dob pairs are given WITH procedures.
Put each pair into "patients" array. Put procedure names in "procedureNames".
- check_and_claim : user wants to check eligibility AND submit PROCEDURES/BILLING as claims
e.g. "check masshealth for 100xxxx, 10/10/1988 and claim perio exam and adult cleaning"
e.g. "check Maria Jesus and claim D0120 D1110"
Only use this when procedures or CDT codes are mentioned — NOT for scheduling
- find_patient : look up a patient record only, no eligibility
e.g. "find patient John", "look up Smith"
- schedule_appointment : add a patient to the schedule (today or a specified date/time)
e.g. "put John Smith in today's schedule"
e.g. "schedule Maria at 2pm tomorrow"
e.g. "add Jane Doe at 10:30"
- claim_only : submit a claim for procedures WITHOUT an eligibility check
e.g. "claim comprehensive exam and Pano for her"
e.g. "claim D0120 and D1110 for John Smith today"
e.g. "bill adult cleaning for Maria on 05/15/2026"
e.g. "claim perio exam, 2BW for John Smith"
Use this when no eligibility check is requested — just billing/claiming services
Always extract appointmentDate when a date or "today" is mentioned
- preauth : submit a pre-authorization request for procedures
e.g. "preauth rct, post, crown for John Smith"
e.g. "pre auth #20 rct, post, crown for Zhiyuan Chen"
e.g. "pre-auth D3320, D2952, D2740 for Maria"
Use this when the user says "preauth", "pre auth", "pre-auth", or "prior auth"
- navigate_claims : open the claims page
- navigate_schedule : open the appointments/schedule page
- navigate_eligibility : open the insurance eligibility page
e.g. "check mh", "check masshealth", "open eligibility", "go to eligibility", "check insurance"
- general : anything else
Rules:
- For check_and_claim and claim_only, procedureNames should be the RAW user text
(e.g. "perio exam", "adult cleaning", "D0120") — do NOT translate to codes
- IMPORTANT: If the user says "with the x ray", "with x ray", "attach x ray", "the x ray", "with xray",
"with the attachment", "the attachment", "with attachment", "with the file", "with the image",
"with the scan", "with the photo", "with the document", or any variation meaning an uploaded/attached file,
do NOT include it in procedureNames. It refers to a file attachment, not a billable procedure.
Only include actual clinical procedures in procedureNames.
- For composite fillings with a tooth number, preserve the EXACT notation including tooth# and surfaces:
e.g. "composite #29 O", "#8 MO", "composite #11 MOD" — keep the #number and surface letters together as one entry
- #number always means a TOOTH number (never a case or pre-auth reference). When a single #number appears before a comma-separated list of procedures, apply it to EVERY procedure in the list.
e.g. "#20 rct, post, crown" → ["#20 rct", "#20 post", "#20 crown"]
e.g. "preauth #20 rct, pos, crown" → ["#20 rct", "#20 pos", "#20 crown"]
e.g. "#14 rct, buildup, crown" → ["#14 rct", "#14 buildup", "#14 crown"]
- For RCT/root canal with a tooth number, preserve the tooth# in the entry:
e.g. "rct #29", "#14 root canal", "rct #6", "#20 rct" — keep the #number with the procedure so the correct code can be selected
- For a CDT code (D####) followed by a tooth number (# NN or #NN), keep them together as ONE entry and do NOT spread the tooth# to other procedures:
e.g. "Limited exam, PANO, D7210 # 32" → ["Limited exam", "PANO", "D7210 # 32"]
e.g. "D7210 #32, D0140, pano" → ["D7210 #32", "D0140", "pano"]
The tooth# after a CDT code belongs only to that procedure.
- For SRP with a quadrant abbreviation (UL, UR, LL, LR), keep the code and quadrant together as one entry:
e.g. "D4341 UL", "4341 LR", "D4342 UR" — the quadrant always travels with the SRP code
- For multiple PA X-rays with tooth numbers, expand each PA into its own entry:
ALWAYS use "1 pa, #T" for the first tooth and "2nd pa, #T" for EVERY additional tooth (never "3rd pa", "4th pa", etc.)
e.g. "2 PA (#30, 15)" → ["1 pa, #30", "2nd pa, #15"]
e.g. "3 PA (#3, 14, 30)" → ["1 pa, #3", "2nd pa, #14", "2nd pa, #30"]
e.g. "4 PA (#3, 14, 19, 30)" → ["1 pa, #3", "2nd pa, #14", "2nd pa, #19", "2nd pa, #30"]
e.g. "2 pa #3 #14" → ["1 pa, #3", "2nd pa, #14"]
- insuranceHint is only set when the user explicitly names an insurance in the message
- renderingProvider is only set when the user explicitly names a treating/rendering provider or doctor
e.g. "with provider Kai Gao", "provider Dr. Smith", "rendered by Kai Gao", "doctor Kai Gao"
Extract just the name (without "Dr." prefix unless it's part of the name), omit if not mentioned
- Keep fallbackReply to 1-2 sentences
- For navigate intents, fallbackReply = "Opening the [page] page..." (e.g. "Opening the eligibility page...")
- appointmentDate applies to BOTH schedule_appointment AND claim_only/check_and_claim:
always set it to today's date (${today}) when the user says "today", "this visit", or similar
set it to the specified date when the user mentions a date (e.g. "05/15/2026")
omit it only when no date is mentioned at all (the backend will find the last appointment)
- IMPORTANT: Users type dates in American M/D/YYYY format (month first, then day).
e.g. "6/12/2026" means June 12 2026 (NOT December 6). "1/5/2026" means January 5 2026.
If the year has a typo (e.g. "12026" instead of "2026"), correct it to the intended 4-digit year.
- For schedule_appointment, appointmentTime omitted means no preference
- IMPORTANT: Use the conversation history to resolve pronouns and references.
If the user says "her", "him", "them", "the patient", or "same patient", look back through
the conversation history to find the patient name, memberId, AND dob that were mentioned most recently.
Always populate patientName (or memberId) AND dob from history when a pronoun is used.
Family members may share the same memberId — always include the dob so the correct family member is identified.
Never return an empty patientName just because the current message uses a pronoun.`;
return extra?.trim() ? `${base}\n\nAdditional office context:\n${extra.trim()}` : base;
}
// ─── Classifier ───────────────────────────────────────────────────────────────
export async function classifyInternalChat(
message: string,
apiKey: string,
extraSystemPrompt?: string,
history: { role: "user" | "assistant"; text: string }[] = [],
provider: AiProvider = "google",
model?: string,
clientDate?: string // YYYY-MM-DD from the browser's local clock
): Promise<ChatClassification> {
const fallback: ChatClassification = {
intent: "general",
fallbackReply:
"I can search for a patient, check eligibility, run check & claim, schedule appointments, or navigate to claims or appointments.",
};
if (!apiKey) return fallback;
// Prefer the client's local date (avoids UTC midnight rollover for US timezones)
const today = (clientDate && /^\d{4}-\d{2}-\d{2}$/.test(clientDate))
? clientDate
: (() => { const n = new Date(); return `${n.getFullYear()}-${String(n.getMonth()+1).padStart(2,"0")}-${String(n.getDate()).padStart(2,"0")}`; })();
const systemPrompt = buildSystemPrompt(today, extraSystemPrompt);
try {
const llm = getLlm(provider, apiKey, model);
// Drop leading assistant messages (some providers require conversation to start with user turn)
const firstUserIdx = history.findIndex((h) => h.role === "user");
const trimmedHistory = (firstUserIdx === -1 ? [] : history.slice(firstUserIdx)).filter((_, i, arr) => {
if (i === arr.length - 1) return true;
return arr[i]!.role !== arr[i + 1]!.role;
});
const historyMessages = trimmedHistory.map((h) => ({
role: h.role,
content: h.text,
}));
const response = await llm.invoke([
{ role: "system", content: systemPrompt },
...historyMessages,
{ role: "user", content: message },
]);
const raw = String(response.content).trim();
console.log("[internal-chat] raw LLM response:", raw.slice(0, 400));
const jsonStr = raw.replace(/^```json\s*/i, "").replace(/```\s*$/, "").trim();
const parsed = JSON.parse(jsonStr) as ChatClassification;
if (!parsed.intent || !parsed.fallbackReply) return fallback;
return parsed;
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
console.error("[internal-chat] classifyInternalChat error (provider=%s model=%s): %s", provider, model, msg);
// Surface billing/auth errors so the user sees a useful message in the chat
if (/credit balance|billing|quota|insufficient|authentication|api.key|invalid_api_key/i.test(msg)) {
return {
intent: "general",
fallbackReply: `AI provider error: ${msg.slice(0, 200)}`,
};
}
return fallback;
}
}