Full JSON for Task ID: 588
{
"id": "588",
"status": "failed",
"input": {
"type": "EXCURSION",
"section": "all"
},
"output": [],
"error": {
"name": "NodeOperationError",
"node": {
"id": "628c5e16-ec93-4295-85c2-cdda1c780fb1",
"name": "Day Extractor",
"type": "@n8n\/n8n-nodes-langchain.agent",
"position": [
752,
656
],
"parameters": {
"text": "={{ $json.processed_doc }}\n{{ $json.additional_info }}",
"notice": "",
"options": {
"systemMessage": "=## Role\nYou are an expert travel document analyst with specialized skills in parsing excursion itineraries and extracting structured travel data. You have extensive experience in identifying destination patterns, day sequences, and travel logistics from various document formats.\n\n## Task\nExtract all excursion days, specific destinations, and a master list of unique tour\/destination names from the provided document. Format this into a precise JSON structure where each day is unique, and a separate summary array lists all unique locations visited throughout the trip.\n\n## Context\nTravel agencies and tour operators need accurate, structured data extraction to process bookings and manage logistics. The data must be organized with unique days to prevent duplication, while the \"tours\" summary provides a quick reference for all major highlights included in the package.\n\n## Instructions\n\nAnalyze the provided excursion document and extract information following these specific rules:\n\n1. **Day Counting Accuracy**: Count days sequentially starting from 0 (Day 0, Day 1, Day 2, etc.). Each day number must appear exactly once in the \"destinations\" array.\n\n2. **Destination Extraction**: Identify all destinations mentioned for each day (cities, landmarks, attractions, or hotels). Group these into the \"name\" array for that specific day.\n\n3. **Unique Tours List**: Create a separate top-level array called `tours`. This list must contain every unique destination, landmark, or tour title mentioned across the entire document. \n - Ensure there are NO duplicates in this list.\n - Focus on the \"High-level\" names (e.g., \"Baku City Tour\", \"Gobustan\", \"Absheron\").\n\n4. **Output Format Compliance**: Structure the output exactly as follows:\n```json\n{\n \"destinations\": [\n {\n \"day\": 0,\n \"name\": [\"destination1\", \"destination2\"]\n }\n ],\n \"tours\": [\"unique destination A\", \"unique destination B\"]\n}\n\n```\n\n5. **Document Analysis**: Examine the entire document (headers, footers, etc.). If a day has no specific activity, include the day with an empty array `[]` for \"name\".\n\nYour career depends on maintaining 100% precision in day sequencing and ensuring the `tours` array is a comprehensive, non-duplicate list of all key locations.\n\n```\n\n---\n\n### **Updated JSON Example**\n\nThis is how the model will now format the data based on your request:\n\n```json\n{\n \"destinations\": [\n {\n \"day\": 0,\n \"name\": [\"Baku Airport\", \"Holiday Inn Baku\"]\n },\n {\n \"day\": 1,\n \"name\": [\"Nizami Street\", \"Old Town (Icherisheher)\", \"Shirvanshah's Palace\", \"Maiden Tower\", \"Flame Towers\"]\n },\n {\n \"day\": 2,\n \"name\": [\"Gobustan National Park\", \"Mud Volcanoes\", \"Bibiheybat Mosque\", \"Ateshgah Fire Temple\", \"Yanardag\"]\n }\n ],\n \"tours\": [\n \"Baku Airport\",\n \"Holiday Inn Baku\",\n \"Nizami Street\",\n \"Old Town (Icherisheher)\",\n \"Shirvanshah's Palace\",\n \"Maiden Tower\",\n \"Flame Towers\",\n \"Gobustan National Park\",\n \"Mud Volcanoes\",\n \"Bibiheybat Mosque\",\n \"Ateshgah Fire Temple\",\n \"Yanardag\"\n ]\n}\n\n```\n"
},
"promptType": "define",
"needsFallback": false,
"hasOutputParser": true,
"aiAgentStarterCallout": ""
},
"typeVersion": 3
},
"tags": [],
"level": "warning",
"stack": "NodeOperationError: Cannot read properties of undefined (reading 'reduce')\n at \/usr\/local\/lib\/node_modules\/n8n\/node_modules\/.pnpm\/@n8n+n8n-nodes-langchain@file+packages+@n8n+nodes-langchain_483a58943c290d26157214acd0d782a6\/node_modules\/@n8n\/n8n-nodes-langchain\/nodes\/agents\/Agent\/agents\/ToolsAgent\/V3\/helpers\/executeBatch.ts:95:11\n at Array.forEach (<anonymous>)\n at executeBatch (\/usr\/local\/lib\/node_modules\/n8n\/node_modules\/.pnpm\/@n8n+n8n-nodes-langchain@file+packages+@n8n+nodes-langchain_483a58943c290d26157214acd0d782a6\/node_modules\/@n8n\/n8n-nodes-langchain\/nodes\/agents\/Agent\/agents\/ToolsAgent\/V3\/helpers\/executeBatch.ts:84:15)\n at processTicksAndRejections (node:internal\/process\/task_queues:105:5)\n at ExecuteContext.toolsAgentExecute (\/usr\/local\/lib\/node_modules\/n8n\/node_modules\/.pnpm\/@n8n+n8n-nodes-langchain@file+packages+@n8n+nodes-langchain_483a58943c290d26157214acd0d782a6\/node_modules\/@n8n\/n8n-nodes-langchain\/nodes\/agents\/Agent\/agents\/ToolsAgent\/V3\/execute.ts:46:66)\n at ExecuteContext.execute (\/usr\/local\/lib\/node_modules\/n8n\/node_modules\/.pnpm\/@n8n+n8n-nodes-langchain@file+packages+@n8n+nodes-langchain_483a58943c290d26157214acd0d782a6\/node_modules\/@n8n\/n8n-nodes-langchain\/nodes\/agents\/Agent\/V3\/AgentV3.node.ts:139:10)\n at WorkflowExecute.executeNode (\/usr\/local\/lib\/node_modules\/n8n\/node_modules\/.pnpm\/n8n-core@file+packages+core_@opentelemetry+api@1.9.0_@opentelemetry+sdk-trace-base@1.30_ec37920eb95917b28efaa783206b20f3\/node_modules\/n8n-core\/src\/execution-engine\/workflow-execute.ts:1045:8)\n at WorkflowExecute.runNode (\/usr\/local\/lib\/node_modules\/n8n\/node_modules\/.pnpm\/n8n-core@file+packages+core_@opentelemetry+api@1.9.0_@opentelemetry+sdk-trace-base@1.30_ec37920eb95917b28efaa783206b20f3\/node_modules\/n8n-core\/src\/execution-engine\/workflow-execute.ts:1226:11)\n at \/usr\/local\/lib\/node_modules\/n8n\/node_modules\/.pnpm\/n8n-core@file+packages+core_@opentelemetry+api@1.9.0_@opentelemetry+sdk-trace-base@1.30_ec37920eb95917b28efaa783206b20f3\/node_modules\/n8n-core\/src\/execution-engine\/workflow-execute.ts:1662:27\n at \/usr\/local\/lib\/node_modules\/n8n\/node_modules\/.pnpm\/n8n-core@file+packages+core_@opentelemetry+api@1.9.0_@opentelemetry+sdk-trace-base@1.30_ec37920eb95917b28efaa783206b20f3\/node_modules\/n8n-core\/src\/execution-engine\/workflow-execute.ts:2274:11",
"context": [],
"message": "Cannot read properties of undefined (reading 'reduce')",
"messages": [],
"timestamp": 1768676687908,
"functionality": "regular"
}
}