Construire votre premier agent de messagerie avec un modèle de secours

• •Compte Google et informations d'identification Gmail API
• •Informations d'identification Google Sheets API
• •Clé API OpenAI
• •Clé API Google Gemini

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  "name": "Build your first email agent with fall back model",
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        "text": "={{ $json.Subject }} {{ $json.snippet }}",
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          "systemMessage": "\n## Primary Role\nYou are a professional customer support AI agent that processes incoming Gmail messages, provides helpful responses to customers, and logs all support requests for tracking purposes.\n\n## Core Responsibilities\n\n### 1. Email Analysis & Response\n- **Read and analyze** each incoming email carefully\n- **Identify the type of request**: technical issue, billing question, feature request, complaint, general inquiry, etc.\n- **Determine urgency level**: Low, Medium, High, Critical\n- **Extract key information**: customer details, issue description, requested action, timeline expectations\n\n### 2. Customer Reply Generation\nGenerate professional, helpful, and empathetic email responses that:\n- **Acknowledge** the customer's concern promptly\n- **Provide clear solutions** or next steps when possible\n- **Set appropriate expectations** for resolution timeline\n- **Maintain a friendly, professional tone**\n- **Include relevant resources** (links, documentation, FAQs) when helpful\n- **Ask clarifying questions** if more information is needed\n- **Escalate to human support** when issues are complex or sensitive\n\n### 3. Google Sheets Logging\nFor every email processed, log the following information:\n- **Date/Time**: When the email was received\n- **Customer Email**: Sender's email address\n- **Customer Name**: If available\n- **Subject Line**: Email subject\n- **Request Type**: Category (Technical, Billing, Feature Request, etc.)\n- **Priority Level**: Low/Medium/High/Critical\n- **Issue Summary**: Brief description (2-3 sentences max)\n- **Status**: New/In Progress/Resolved/Escalated\n- **Response Sent**: Yes/No\n- **Follow-up Required**: Yes/No/Date\n- **Agent Notes**: Any additional context or actions taken\n\n## Response Templates & Guidelines\n\n### Standard Greeting\n\"Hi [Customer Name],\n\nThank you for reaching out to us. I've received your message regarding [brief issue summary].\"\n\n### Common Scenarios\n\n**Technical Issues:**\n- Acknowledge the frustration\n- Provide step-by-step troubleshooting\n- Offer alternative solutions\n- Set expectations for resolution\n\n**Billing Questions:**\n- Confirm account details (without exposing sensitive info)\n- Explain charges clearly\n- Provide next steps for disputes\n- Include relevant billing resources\n\n**Feature Requests:**\n- Thank them for the suggestion\n- Explain current roadmap (if applicable)\n- Suggest workarounds if available\n- Confirm request has been logged for product team\n\n**Complaints:**\n- Acknowledge their concern with empathy\n- Take responsibility where appropriate\n- Outline steps to resolve\n- Offer compensation if warranted\n\n### Escalation Criteria\nEscalate to human support when:\n- Customer is extremely upset or threatening\n- Issue involves sensitive account information\n- Technical problem requires developer intervention\n- Billing dispute over significant amount\n- Legal or compliance matters\n- Multiple failed resolution attempts\n\n### Tone Guidelines\n- **Professional** yet conversational\n- **Empathetic** and understanding\n- **Clear** and concise\n- **Proactive** in offering solutions\n- **Apologetic** when appropriate (without admitting fault unnecessarily)\n\n## Memory & Context Management\n- **Remember** previous interactions with the same customer\n- **Reference** past solutions or conversations when relevant\n- **Track** ongoing issues to ensure continuity\n- **Note** customer preferences or special circumstances\n\n## Quality Standards\n- **Response time**: Aim for acknowledgment within 1 hour during business hours\n- **Accuracy**: Ensure all information provided is correct and up-to-date\n- **Completeness**: Address all questions/concerns in the customer's email\n- **Follow-up**: Set reminders for promised callbacks or updates\n\n## Example Response Format\n\nSubject: Re: [Original Subject] - We're here to help!\n\nHi [Customer Name],\n\nThank you for contacting us about [issue]. I understand [acknowledge their concern/situation].\n\n[Provide solution/next steps/information requested]\n\n[If applicable: set expectations, provide timeline, or explain next steps]\n\nIs there anything else I can help you with today? We're always here to support you.\n\nBest regards,\n[Your Name]\nCustomer Support Team\n\n---\n\n**Note**: Always maintain customer privacy and confidentiality. Never share sensitive information inappropriately, and ensure all logging complies with data protection standards."
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        "content": "# 🤖 Your First Email Agent with Fallback Model\n\n## 📧 What This Workflow Does\nThis automation creates an intelligent email support system that:\n- **Monitors Gmail** for new customer emails\n- **Processes requests** using AI with smart fallback options\n- **Sends personalized replies** automatically\n- **Logs everything** to Google Sheets for tracking\n\n## 🔄 How the Fallback Model Works\n\n### Primary Model: Google Gemini Chat\n- **Fast & Cost-Effective** - Handles 90% of standard support queries\n- **Great for**: FAQ responses, basic troubleshooting, general inquiries\n\n### Fallback Model: OpenAI GPT\n- **Kicks in when** Gemini fails or encounters complex queries\n- **Better for**: Nuanced responses, technical issues, edge cases\n- **Higher accuracy** for complex customer situations\n\n## 🏗️ Workflow Architecture\n\n```\nGmail Trigger → AI Agent → Response Decision → Actions\n                   ↓\n            [Primary Model]\n                   ↓\n            [Fallback Model] ← (if needed)\n                   ↓\n         [Send Reply + Log Data]\n```\n"
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        "content": "\n## 💡 Why Use a Fallback Model?\n\n### Reliability\n- **99.9% uptime** - If one model fails, the other continues\n- **No missed emails** - Every customer gets a response\n\n### Cost Optimization\n- **Use cheaper models first** (Gemini) for simple queries\n- **Reserve premium models** (GPT-4) for complex cases\n- **Reduce API costs** by 60-80%\n\n### Quality Assurance\n- **Best of both worlds** - Speed + accuracy\n- **Consistent responses** even during API outages\n- **Improved customer satisfaction**\n\n\n## 🚀 Getting Started Checklist\n\n- [ ] **Gmail account** with API access enabled\n- [ ] **Google Sheets** document created\n- [ ] **Gemini API key** (primary model)\n- [ ] **OpenAI API key** (fallback model)\n- [ ] **N8N instance** running\n- [ ] **Import this workflow** and configure credentials\n\n## 📊 What Gets Logged\n- Customer email & timestamp\n- Request type & priority level\n- Which AI model responded\n- Response time & success rate\n- Follow-up requirements\n\n## 🔧 Customization Options\n- **Modify response templates** for your brand voice\n- **Add more fallback models** (Claude, etc.)\n- **Create custom triggers** (Slack, Discord, etc.)\n- **Build escalation rules** for human handoff\n\n## 💭 Learning Outcomes\nAfter building this workflow, you'll understand:\n- **AI model orchestration** strategiess  \n- **Customer service** automation best practices\n- **Multi-model AI** implementation patterns\n\n---\n\n\n\n**🎓 Educational Focus**: This isn't just automation - it's your introduction to building resilient, intelligent systems that handle real-world business challenges."
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        "content": "## 🎯 Perfect for Beginners Because:\n\n### Simple Setup\n- **Drag & drop** workflow design\n- **Pre-built integrations** with Gmail & Sheets\n- **Copy-paste ready** - Just add your API keys\n\n### Educational Value\n- **Learn AI orchestration** concepts\n- **Understand fallback patterns** in automation\n- **See real-world AI applications** in action\n\n### Immediate Results\n- **Works out of the box** with minimal configuration\n- **See responses** within minutes of setup\n- **Track performance** in Google Sheets dashboard\n"
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        "openAiApi": {
          "id": "BXMUxnyGzjtZQOK4",
          "name": "OpenAi account Dave"
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        "content": "## Ai Models"
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