Traitement automatisé du support client avec un assistant AI WhatsApp, Google Docs et Gemini

• •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
• •Informations d'identification Google Sheets API
• •Clé API Google Gemini

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      "parameters": {
        "text": "={{ $json.finalPrompt }}\n\n\n",
        "options": {
          "systemMessage": "You are [Company]’s support assistant for Black Ball Sporting Club.\n• Do NOT include any preamble such as “Based on the document you provided” or “Okay, [Name].” Just jump straight to the answer.\n* don't ever start your response with\"based on the document you provided\" , or \"According to the document\", don't mention any documents at all , also don't mention today's date unless you asked\n"
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        "promptType": "define",
        "hasOutputParser": true
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      "waitBetweenTries": null
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      "parameters": {
        "jsCode": "// cleanAnswer – run once per item\nlet txt = $('AI Agent').first().json.output || '';\n\n// 1. Remove bold / italic / strike markers\ntxt = txt.replace(/[*_~]+/g, '');\n\n// 2. Convert [Texto](https://url) → Texto https://url\ntxt = txt.replace(/\\[([^\\]]+)\\]\\((https?:\\/\\/[^\\s)]+)\\)/g, '$1 $2');\n\n// 3. Collapse 3+ blank lines\ntxt = txt.replace(/\\n{3,}/g, '\\n\\n').trim();\n\n// 4. Remove the unwanted source-reference preamble\ntxt = txt.replace(/^.*?based on the document you provided[,:]?\\s*/i, '');\n\nreturn [{ json: { answer: txt } }];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "d70cf8b1-8c24-44f2-9b37-5205b130cff2",
      "name": "Vérification fenêtre 24h",
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      "parameters": {
        "jsCode": "// within24h?  – run once per item\n// Meta (WhatsApp) timestamp arrives as seconds since epoch\nconst lastTs = Number($('when message received').first().json.messages[0].timestamp) * 1000;   // → ms\nconst withinWindow = Date.now() - lastTs < 24 * 60 * 60 * 1000;\n\nreturn [{ json: { withinWindow, answer: $json.answer, userId: $json.userId } }];"
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        "options": {},
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              "operator": {
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      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-flash-preview-04-17-thinking"
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    {
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      "name": "Préparer l'invite",
      "type": "n8n-nodes-base.aiTransform",
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      "parameters": {
        "jsCode": "const googleDocs = $input.all().map((item) => item.json);\nconst whatsappMessages = $(\"when message received\")\n  .all()\n  .map((item) => item.json);\n\nconst date = new Date();\nconst formattedDate = `${date.getMonth() + 1} ${date.getDate()}, ${date.getFullYear()}`;\n\nconst docText = googleDocs[0].content.split(\"\\n\").join(\" \");\n\nconst body = whatsappMessages[0].messages[0].text.body;\n\nconst finalPrompt = `Today's date is: ${formattedDate}\\n\\n${docText}\\n\\nUser's question:\\n${body}`;\n\nreturn { finalPrompt };\n",
        "instructions": "Write code to:\n• Get today’s date formatted “Month Day, Year”\n• Extract the Google Doc’s plain text by joining its body.content textRuns\n• Extract the WhatsApp message from messages[0].text.body\n• Build a field finalPrompt exactly as:\n\nvbnet\nCopy\nEdit\nToday's date is: [date]\n\n[doc text]\n\nUser's question:\n[body]\n• Return finalPrompt only.",
        "codeGeneratedForPrompt": "Write code to:\n• Get today’s date formatted “Month Day, Year”\n• Extract the Google Doc’s plain text by joining its body.content textRuns\n• Extract the WhatsApp message from messages[0].text.body\n• Build a field finalPrompt exactly as:\n\nvbnet\nCopy\nEdit\nToday's date is: [date]\n\n[doc text]\n\nUser's question:\n[body]\n• Return finalPrompt only."
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    {
      "id": "19de46dc-add8-4cad-81a9-6e5b341f1f33",
      "name": "Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
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      "parameters": {},
      "credentials": {},
      "typeVersion": 4.6
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      "name": "Date & Heure",
      "type": "n8n-nodes-base.dateTime",
      "position": [
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      "parameters": {
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      "typeVersion": 2
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      "id": "a6ae2118-9d68-4fb0-b975-b9c6d4170e00",
      "name": "Note autocollante",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "height": 1520,
        "content": "# WhatsApp AI Assistant \n\n**No Business Verification Required\nInstant activation with full WhatsApp Group support.**\n\n**Instantly answer WhatsApp questions using your internal documents. No AI training required.**\n\n*Skip the complex WhatsApp Business Cloud API setup - WhapAround solve that problem for you.*\n\n## How It Works\nYour assistant reads a live Google Doc, processes incoming WhatsApp messages, generates AI responses using OpenAI/Gemini, and sends replies automatically.\n\n## Requirements\n- **WhapAround Account**: https://whaparound.pro/ (eliminates need for WhatsApp Business Cloud API configuration)\n- **Google Doc** with your business content\n- **API Key**: OpenAI or Gemini\n- **Database** (optional): PostgreSQL memory setup - https://www.youtube.com/watch?v=JjBofKJnYIU\n\n## Quick Setup\n1. Add your Google Doc ID to the Docs node\n2. Connect WhatsApp webhook (follow provided guidance)\n3. Map the message field\n4. Connect your AI provider (OpenAI/Gemini)\n5. Test with a live message\n\n## Professional Setup Services\nNeed help with implementation? We provide:\n- **Easy WhatsApp connection** (bypass WhatsApp Business Cloud API complexity entirely)\n- Google OAuth & document structure\n- AI model configuration\n- Custom branding & tone\n- Logging & escalation systems\n\n**Contact**: andrea@jamot.pro | WhatsApp: +16508665016"
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    },
    {
      "id": "8f4a786b-fc6d-4e2f-b8df-c605475afc81",
      "name": "Base de connaissances de l'entreprise",
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      "parameters": {
        "operation": "get",
        "documentURL": "=1Uv1WYCcXNlp-jaeJ7-3MNxWYfPj-wcYnJv4_colXSvk"
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        "sessionKey": "={{ $('when message received').item.json.contacts[0].wa_id }}",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.3
    },
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      "webhookId": "30720c7c-18f4-4815-be3b-03343d53ee45",
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        "path": "30720c7c-18f4-4815-be3b-03343d53ee45",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
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      "name": "WhapAround - Répondre au modèle",
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