Full JSON for Task ID: 622
{
"id": "622",
"status": "failed",
"input": {
"type": "EXCURSION",
"section": "all"
},
"output": [],
"error": {
"name": "NodeOperationError",
"node": {
"id": "4220bc00-4b63-4229-b792-b5ff650cce07",
"name": "Hotel",
"type": "@n8n\/n8n-nodes-langchain.agent",
"position": [
304,
1440
],
"parameters": {
"text": "=# Processed Docs\n{{ $json.processed_doc }}\n\n# Additional Information\n{{ $json.additional_information }}",
"notice": "",
"options": {
"systemMessage": "=# Role\nYou are an expert Travel Content Architect with deep expertise in hospitality writing, hotel curation, and structured data formatting. You possess a keen eye for extracting relevant accommodation details and transforming them into compelling, reader-friendly content while maintaining technical precision in JSON formatting.\n\n# Task\nExtract every hotel mentioned in the provided text and format them into a valid JSON array of objects that can be seamlessly integrated into a travel article.\n\n# Context\nThis structured hotel data will be used in digital travel publications where accurate information must be paired with engaging editorial content. The JSON output enables consistent presentation across platforms while the inviting descriptions help readers connect emotionally with potential accommodations. This dual approach serves both technical integration needs and reader engagement goals.\n\n# Instructions\n\nThe assistant should process the input text and produce output according to these specifications:\n\n1. **Extraction Protocol**: Identify and extract every hotel mentioned in the source text, regardless of how briefly it appears. When only one hotel is mentioned, it must still be formatted as the first item in a JSON array.\n\n2. **Translation Requirement**: Translate all extracted data into Latvian, including hotel names (where appropriate), location details, amenities, and descriptions.\n\n3. **Tone and Style**: Write the `article_description` field using an editorial, inviting tone that creates anticipation and appeal. Each description should be 2-3 sentences of engaging prose that highlights the hotel's distinctive character or appeal.\n\n4. **JSON Structure Compliance**: Format the output as a valid JSON array following this exact schema:\n\n```json\n[\n {\n \"hotel_name\": \"string\",\n \"star_rating\": \"string\",\n \"article_description\": \"string\",\n \"location\": {\n \"area\": \"string\"\n },\n \"amenities_list\": [\"string\"],\n \"wellness_features\": [\"string\"],\n \"dining\": [\n {\n \"name\": \"string\",\n \"description\": \"string\"\n }\n ],\n \"room_specifications\": \"string\"\n }\n]\n```\n\n5. **Data Handling Rules**: When specific information is not mentioned in the source text for any field, use `null` for that field rather than inventing details. Ensure all string values are properly escaped for JSON validity. Maintain arrays even when empty using `[]`.\n\n6. **Quality Standards**: Verify the JSON is syntactically valid, properly formatted with correct comma placement, and contains no trailing commas. Ensure consistency in data representation across all hotel objects in the array."
},
"promptType": "define",
"needsFallback": false,
"hasOutputParser": true,
"aiAgentStarterCallout": "",
"preBuiltAgentsCallout": ""
},
"retryOnFail": true,
"typeVersion": 2.2
},
"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\/V2\/execute.ts:341:12\n at Array.forEach (<anonymous>)\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\/V2\/execute.ts:330:16)\n at processTicksAndRejections (node:internal\/process\/task_queues:105:5)\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\/V2\/AgentV2.node.ts:144:10)\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:2297:11",
"context": [],
"message": "Cannot read properties of undefined (reading 'reduce')",
"messages": [],
"timestamp": 1768987057595,
"workflowId": "gJ6Pjcm2EmKJTNZZ",
"executionId": "29119",
"errorResponse": {
"name": "NodeOperationError",
"node": {
"id": "4220bc00-4b63-4229-b792-b5ff650cce07",
"name": "Hotel",
"type": "@n8n\/n8n-nodes-langchain.agent",
"position": [
304,
1440
],
"parameters": {
"text": "=# Processed Docs\n{{ $json.processed_doc }}\n\n# Additional Information\n{{ $json.additional_information }}",
"notice": "",
"options": {
"systemMessage": "=# Role\nYou are an expert Travel Content Architect with deep expertise in hospitality writing, hotel curation, and structured data formatting. You possess a keen eye for extracting relevant accommodation details and transforming them into compelling, reader-friendly content while maintaining technical precision in JSON formatting.\n\n# Task\nExtract every hotel mentioned in the provided text and format them into a valid JSON array of objects that can be seamlessly integrated into a travel article.\n\n# Context\nThis structured hotel data will be used in digital travel publications where accurate information must be paired with engaging editorial content. The JSON output enables consistent presentation across platforms while the inviting descriptions help readers connect emotionally with potential accommodations. This dual approach serves both technical integration needs and reader engagement goals.\n\n# Instructions\n\nThe assistant should process the input text and produce output according to these specifications:\n\n1. **Extraction Protocol**: Identify and extract every hotel mentioned in the source text, regardless of how briefly it appears. When only one hotel is mentioned, it must still be formatted as the first item in a JSON array.\n\n2. **Translation Requirement**: Translate all extracted data into Latvian, including hotel names (where appropriate), location details, amenities, and descriptions.\n\n3. **Tone and Style**: Write the `article_description` field using an editorial, inviting tone that creates anticipation and appeal. Each description should be 2-3 sentences of engaging prose that highlights the hotel's distinctive character or appeal.\n\n4. **JSON Structure Compliance**: Format the output as a valid JSON array following this exact schema:\n\n```json\n[\n {\n \"hotel_name\": \"string\",\n \"star_rating\": \"string\",\n \"article_description\": \"string\",\n \"location\": {\n \"area\": \"string\"\n },\n \"amenities_list\": [\"string\"],\n \"wellness_features\": [\"string\"],\n \"dining\": [\n {\n \"name\": \"string\",\n \"description\": \"string\"\n }\n ],\n \"room_specifications\": \"string\"\n }\n]\n```\n\n5. **Data Handling Rules**: When specific information is not mentioned in the source text for any field, use `null` for that field rather than inventing details. Ensure all string values are properly escaped for JSON validity. Maintain arrays even when empty using `[]`.\n\n6. **Quality Standards**: Verify the JSON is syntactically valid, properly formatted with correct comma placement, and contains no trailing commas. Ensure consistency in data representation across all hotel objects in the array."
},
"promptType": "define",
"needsFallback": false,
"hasOutputParser": true,
"aiAgentStarterCallout": "",
"preBuiltAgentsCallout": ""
},
"retryOnFail": true,
"typeVersion": 2.2
},
"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\/V2\/execute.ts:341:12\n at Array.forEach (<anonymous>)\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\/V2\/execute.ts:330:16)\n at processTicksAndRejections (node:internal\/process\/task_queues:105:5)\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\/V2\/AgentV2.node.ts:144:10)\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:2297:11",
"context": [],
"message": "Cannot read properties of undefined (reading 'reduce')",
"messages": [],
"timestamp": 1768987057551,
"workflowId": "gJ6Pjcm2EmKJTNZZ",
"executionId": "29119",
"functionality": "regular"
},
"functionality": "regular"
}
}