modularizado de prompts

This commit is contained in:
Lucas Tettamanti
2026-01-25 20:51:33 -03:00
parent b91ece867b
commit a489ec66a2
43 changed files with 5408 additions and 89 deletions

View File

@@ -0,0 +1,135 @@
/**
* Payment Specialist - Extracción de método de pago
*/
import OpenAI from "openai";
import { loadPrompt } from "../promptLoader.js";
import { validatePayment, getValidationErrors, createEmptyNlu } from "../schemas.js";
let _client = null;
function getClient() {
const apiKey = process.env.OPENAI_API_KEY || process.env.OPENAI_APIKEY;
if (!apiKey) {
throw new Error("OPENAI_API_KEY is not set");
}
if (!_client) {
_client = new OpenAI({ apiKey });
}
return _client;
}
function extractJson(text) {
const s = String(text || "");
const i = s.indexOf("{");
const j = s.lastIndexOf("}");
if (i >= 0 && j > i) {
try {
return JSON.parse(s.slice(i, j + 1));
} catch {
return null;
}
}
return null;
}
/**
* Detecta método de pago por patrones simples
*/
function detectPaymentMethod(text) {
const t = String(text || "").toLowerCase().trim();
// Números (asumiendo 1=efectivo, 2=link del contexto)
if (/^1$/.test(t)) return "cash";
if (/^2$/.test(t)) return "link";
// Cash patterns
if (/\b(efectivo|cash|plata|billete|cuando (llega|llegue)|en mano)\b/i.test(t)) {
return "cash";
}
// Link patterns
if (/\b(tarjeta|link|transfer|qr|mercadopago|mp|d[eé]bito|cr[eé]dito)\b/i.test(t)) {
return "link";
}
return null;
}
/**
* Procesa un mensaje de pago
*
* @param {Object} params
* @param {number} params.tenantId - ID del tenant
* @param {string} params.text - Mensaje del usuario
* @param {Object} params.storeConfig - Config de la tienda
* @returns {Object} NLU unificado
*/
export async function paymentNlu({ tenantId, text, storeConfig = {} }) {
// Intentar detección rápida primero
const quickMethod = detectPaymentMethod(text);
// Si es claramente un número o patrón simple, no llamar al LLM
if (quickMethod && text.trim().length < 30) {
const nlu = createEmptyNlu();
nlu.intent = "select_payment";
nlu.confidence = 0.9;
nlu.entities.payment_method = quickMethod;
return {
nlu,
raw_text: "",
model: null,
usage: null,
validation: { ok: true, skipped_llm: true },
};
}
const openai = getClient();
// Cargar prompt de payment
const { content: systemPrompt, model } = await loadPrompt({
tenantId,
promptKey: "payment",
variables: storeConfig,
});
// Hacer la llamada al LLM
const response = await openai.chat.completions.create({
model: model || "gpt-4o-mini",
temperature: 0.1,
max_tokens: 100,
response_format: { type: "json_object" },
messages: [
{ role: "system", content: systemPrompt },
{ role: "user", content: text },
],
});
const rawText = response?.choices?.[0]?.message?.content || "";
let parsed = extractJson(rawText);
// Validar
if (!parsed || !validatePayment(parsed)) {
// Fallback con detección por patrones
parsed = {
intent: "select_payment",
payment_method: quickMethod,
};
}
// Convertir a formato NLU unificado
const nlu = createEmptyNlu();
nlu.intent = "select_payment";
nlu.confidence = 0.85;
nlu.entities.payment_method = parsed.payment_method || null;
nlu.needs.catalog_lookup = false;
return {
nlu,
raw_text: rawText,
model,
usage: response?.usage || null,
validation: { ok: true },
};
}