KI-gesteuerte Sprecher- und Session-Empfehlungs-Engine

• •HTTP Webhook-Endpunkt (wird von n8n automatisch generiert)
• •Google Sheets API-Anmeldedaten
• •Anthropic API Key

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  "name": "AI-Driven Speaker & Session Recommendation Engine",
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      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
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      "webhookId": "speaker-recommendation-webhook",
      "parameters": {
        "path": "speaker-recommendations",
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        "content": "## Webhook Trigger\n\nReceives requests from voice agents or external systems with event requirements and audience preferences.\n\nExpected payload:\n{\n  \"eventType\": \"string\",\n  \"eventGoals\": \"string\",\n  \"audienceSize\": number,\n  \"preferredTopics\": []\n}"
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        "jsCode": "// Extract and validate webhook payload\nconst payload = $input.first().json.body || $input.first().json;\n\n// Default values if not provided\nconst requestData = {\n  eventType: payload.eventType || \"Technology Conference\",\n  eventGoals: payload.eventGoals || \"Engaging and innovative sessions\",\n  audienceSize: payload.audienceSize || 500,\n  preferredTopics: payload.preferredTopics || [\"AI\", \"Cloud Computing\", \"Innovation\"],\n  sessionCount: payload.sessionCount || 5,\n  requestId: payload.requestId || Date.now().toString(),\n  timestamp: new Date().toISOString(),\n  source: payload.source || \"voice-agent\"\n};\n\nreturn { json: requestData };"
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      "name": "Sprecherdaten abrufen",
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        "content": "## Fetch Speaker Database\n\nRetrieve speaker profiles, expertise areas, past sessions, ratings, and availability from Google Sheets."
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      "name": "Alle Daten aggregieren",
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        "jsCode": "// Get data from all previous nodes\nconst requestData = $input.all()[0].json;\nconst speakers = $input.all()[1].json;\nconst audienceData = $input.all()[2].json;\n\n// Combine and structure data for AI analysis\nconst combinedData = {\n  request: requestData,\n  speakers: Array.isArray(speakers) ? speakers : [speakers],\n  audienceInterests: Array.isArray(audienceData) ? audienceData : [audienceData],\n  eventDetails: {\n    type: requestData.eventType,\n    goals: requestData.eventGoals,\n    audienceSize: requestData.audienceSize,\n    preferredTopics: requestData.preferredTopics,\n    sessionCount: requestData.sessionCount\n  },\n  metadata: {\n    requestId: requestData.requestId,\n    timestamp: requestData.timestamp,\n    source: requestData.source\n  }\n};\n\nreturn { json: combinedData };"
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        "content": "## Calculate & Analyze\n\nCombine voice request data with speaker profiles and audience insights for comprehensive matching."
      },
      "typeVersion": 1
    },
    {
      "id": "bdf79855-c196-4638-afd4-3a0b81190c80",
      "name": "Notiz - KI-Analyse",
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        "content": "## AI Optimization Engine\n\nClaude analyzes speaker-audience fit, diversity, and engagement potential to recommend optimal session lineup."
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      "typeVersion": 1
    },
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        "jsCode": "// Parse AI response and format recommendations\nconst aiResponse = $json.text || $json.message || JSON.stringify($json);\nconst requestMetadata = $input.first().json.metadata || {};\n\nlet recommendations;\ntry {\n  // Extract JSON from the response\n  const jsonMatch = aiResponse.match(/\\{[\\s\\S]*\\}/);\n  if (jsonMatch) {\n    recommendations = JSON.parse(jsonMatch[0]);\n  } else {\n    // Try parsing the entire response\n    recommendations = typeof aiResponse === 'string' ? JSON.parse(aiResponse) : aiResponse;\n  }\n} catch (error) {\n  recommendations = {\n    error: \"Error parsing recommendations: \" + error.message,\n    rawResponse: aiResponse.substring(0, 500)\n  };\n}\n\n// Format for output and voice agent response\nconst formattedOutput = {\n  status: \"success\",\n  requestId: requestMetadata.requestId || \"unknown\",\n  timestamp: new Date().toISOString(),\n  source: requestMetadata.source || \"unknown\",\n  totalRecommendations: recommendations.recommendations?.length || 0,\n  recommendations: recommendations.recommendations || [],\n  alternativeSpeakers: recommendations.alternativeSpeakers || [],\n  eventOptimization: recommendations.eventOptimizationSuggestions || \"\",\n  diversityScore: recommendations.diversityScore || 0,\n  topicCoverage: recommendations.topicCoverage || [],\n  summary: recommendations.summary || \"Recommendations generated successfully\",\n  voiceResponse: generateVoiceResponse(recommendations)\n};\n\nfunction generateVoiceResponse(data) {\n  if (!data.recommendations || data.recommendations.length === 0) {\n    return \"I apologize, but I couldn't generate speaker recommendations at this time. Please try again.\";\n  }\n  \n  const topSpeaker = data.recommendations[0];\n  const speakerCount = data.recommendations.length;\n  \n  return `I've analyzed your event requirements and found ${speakerCount} excellent speaker matches. ` +\n         `My top recommendation is ${topSpeaker.speakerName} for a ${topSpeaker.sessionFormat} on ${topSpeaker.sessionTopic}. ` +\n         `This speaker has a match score of ${topSpeaker.matchScore}% and would be perfect because ${topSpeaker.reasoning.substring(0, 150)}. ` +\n         `Would you like to hear more details about this speaker or the other ${speakerCount - 1} recommendations?`;\n}\n\nreturn { json: formattedOutput };"
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        "content": "## Format Recommendations\n\nStructure AI output for both voice agent responses and system storage with match scores and reasoning."
      },
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        "content": "## Update Tracking Sheet\n\nSave recommendation history and analytics to Google Sheets for tracking and reporting."
      },
      "typeVersion": 1
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    {
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      "name": "Voice-Agent-Antwort senden",
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          "responseCode": 200,
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            "entries": [
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                "name": "Content-Type",
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        "content": "## Voice Agent Response\n\nReturn formatted recommendations to the voice agent with natural language summary and structured data."
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                "type": "number",
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        "jsCode": "// Generate error response for voice agent\nconst errorData = $input.first().json;\n\nconst errorResponse = {\n  status: \"error\",\n  requestId: errorData.requestId || \"unknown\",\n  timestamp: new Date().toISOString(),\n  error: errorData.error || \"Unable to generate recommendations\",\n  voiceResponse: \"I apologize, but I encountered an issue while generating speaker recommendations. This could be due to insufficient data or a temporary system issue. Please try again or provide more specific event details.\",\n  recommendations: [],\n  totalRecommendations: 0\n};\n\nreturn { json: errorResponse };"
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