Classification automatique de la boîte de réception personnelle

• •Compte Google et informations d'identification Gmail API
• •Clé API Notion
• •Clé API OpenAI

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      "name": "Obtenir les e-mails non lus",
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        "text": "=Email Details:\n{{ $json.Subject }}\n{{ $json.From }}\nSnippet: {{ $json.Text }}\n\nClassify this email into one of the following:\nImportant, Ignore, Delegate, or Reply Later.\n\nRespond with only one word.",
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        "content": "🚀 WORKFLOW INITIATOR\n\nPurpose: Manually starts the email processing and analysis workflow.\n\nFunction: Triggers the automated email retrieval and AI processing pipeline.\n\nCritical: Entry point for testing workflow functionality and on-demand execution."
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        "content": "📊 INSIGHT FORMATTER\n\nPurpose: Transforms AI analysis into structured, actionable summary format\n\nFunction: Creates professional email summaries with key points and recommendations.\n\nCritical: Converts raw AI output into user-friendly, business-ready insights.\n\nOutput: Standardized format suitable for reporting and decision-making."
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        "content": "🤖 AI EMAIL ANALYZER\n\nPurpose: Processes email content using advanced language model analysis.\n\nFunction: Extracts insights, sentiment, key topics, and actionable information.\n\nCritical: Core intelligence engine - transforms raw email into structured insights.\n\nModel: Configured for email content analysis, summarization, and categorization."
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        "content": "✏️ DATA STRUCTURE OPTIMIZER\n\nPurpose: Standardizes and cleans email data fields for AI processing\n\nFunction: Formats email content, extracts key metadata, removes unnecessary fields\n\nCritical: Prepares clean, structured data input for LLM analysis\nEnhancement: Ensures consistent data format across different email sources"
      },
      "typeVersion": 1
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      "parameters": {
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        "content": "🔄 EMAIL BATCH PROCESSOR\n\nPurpose: Separates bulk email retrieval into individual email items\nFunction: Converts email array into separate workflow items for parallel processing\n\nCritical: Enables individual email analysis and prevents batch processing bottlenecks\n\nOptimization: Allows concurrent processing of multiple emails simultaneously"
      },
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        "color": 2,
        "height": 320,
        "content": "📧 EMAIL RETRIEVAL ENGINE\n\nPurpose: Fetches unread emails from Gmail inbox using Gmail API\nFunction: Retrieves email metadata, content, attachments, and sender information.\n\nCritical: Primary data source - ensures all unread emails are captured for processing.\n\nConfiguration: Set appropriate filters and limits to prevent API overload."
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        "content": "📈 INTELLIGENCE CONSOLIDATOR\n\nPurpose: Combines individual email summaries into comprehensive batch report.\n\nFunction: Merges multiple email insights, identifies patterns, creates overview dashboard.\n\nCritical: Provides holistic view of email communications and trending topics.\n\nAnalytics: Generates metrics on email volume, sentiment trends, and priority items."
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      "position": [
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      "parameters": {
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        "content": "🧠 ENTERPRISE AI ENGINE\n\nPurpose: Powers the LLM Chain with Azure OpenAI's advanced language capabilities.\n\nFunction: Provides natural language understanding, content analysis, and generation.\n\nCritical: Ensures high-quality, consistent AI processing with enterprise-grade reliability.\n\nConfiguration: Optimized for email content analysis and business communication patterns"
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        "content": "📝 KNOWLEDGE BASE INTEGRATION\n\nPurpose: Archives processed email insights into Notion workspace.\n\nFunction: Creates searchable database entries with structured email intelligence.\n\nCritical: Ensures long-term storage and retrieval of email insights for reference.\n\nOrganization: Maintains historical records and enables trend analysis over time."
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