// Se ejecuta cuando el usuario habla con el MetaHuman
async function queryNeuroCore(userSpeech, sessionId) {
  const res = await fetch("https://api.neuroai.app/v1/metahuman/query", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${NEURO_API_KEY}`,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      query: userSpeech,
      session_id: sessionId,
      persona_id: "sofia-concierge-v2",
      sources: ["documentos", "crm", "knowledge_graph", "chat_history"],
      stream: true
    })
  });

  const data = await res.json();

  // data.response.text -> se envía al motor de voz (TTS)
  // data.response.avatar.emotion / gesture -> controla la animación facial
  avatarEngine.speak(data.response.text, {
    emotion: data.response.avatar.emotion,
    gesture: data.response.avatar.gesture
  });

  return data;
}

// Sincroniza un Google Sheet como fuente de conocimiento del MetaHuman
function syncSheetToNeuroCore() {
  const sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName("FAQ");
  const rows = sheet.getDataRange().getValues().slice(1);

  const payload = {
    source_id: "google_sheets_faq",
    source_type: "structured",
    records: rows.map(r => ({ pregunta: r[0], respuesta: r[1], categoria: r[2] }))
  };

  UrlFetchApp.fetch("https://api.neuroai.app/v1/sources/sync", {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${PropertiesService.getScriptProperties().getProperty("NEURO_API_KEY")}`,
      "Content-Type": "application/json"
    },
    payload: JSON.stringify(payload)
  });
}
// Activar: Editar → Activadores → cada 1 hora

{
  "query": "string",
  "intent": "string",
  "confidence": 0.0-1.0,
  "entities": [{ "type": "string", "value": "string" }],
  "sources_used": [{ "source": "string", "relevance": 0.0-1.0 }],
  "response": {
    "text": "string",
    "tone": "string",
    "avatar": { "emotion": "string", "gesture": "string", "gaze": "string" }
  },
  "suggested_followups": ["string"]
}