This workflow follows the Chainllm → Execute Workflow Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "REPORT Agent Sub-Workflow",
"nodes": [
{
"parameters": {
"inputSource": "passthrough"
},
"id": "YOUR_ID",
"typeVersion": 1.1,
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
1856,
96
]
},
{
"parameters": {
"resource": "fileFolder",
"searchMethod": "query",
"queryString": "'YOUR_FOLDER_ID' in parents",
"returnAll": true,
"filter": {},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
2192,
-144
],
"id": "YOUR_ID",
"name": "Google Drive \u2014 List Files (GOLD folder)",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "fileFolder",
"searchMethod": "query",
"queryString": "'YOUR_FOLDER_ID' in parents",
"returnAll": true,
"filter": {},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
2176,
272
],
"id": "YOUR_ID",
"name": "Google Drive \u2014 List Files (CLEAN folder) for REPORT agent",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"leftValue": "={{ $binary.data.mimeType }}",
"rightValue": "text/csv",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "YOUR_ID"
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "YOUR_ID",
"leftValue": "={{ $binary.data.mimeType }}",
"rightValue": "application/json",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "YOUR_ID",
"leftValue": "={{ $binary.data.mimeType }}",
"rightValue": "text/plain",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
}
]
},
"options": {}
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.3,
"position": [
2960,
656
],
"id": "YOUR_ID",
"name": "Switch \u2014 File Type (by mimeType/extension)"
},
{
"parameters": {
"operation": "download",
"fileId": {
"__rl": true,
"value": "YOUR_GOOGLE_ID",
"mode": "id"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
2736,
512
],
"id": "YOUR_ID",
"name": "Google Drive \u2014 Download CLEAN file (for REPORT)",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
2496,
272
],
"id": "YOUR_ID",
"name": "Split In Batches \u2014 FOR EACH CLEAN FILE (for REPORT)"
},
{
"parameters": {
"numberInputs": 3
},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
3824,
896
],
"id": "YOUR_ID",
"name": "Merge \u2014 CLEAN Samples"
},
{
"parameters": {
"operation": "download",
"fileId": {
"__rl": true,
"value": "YOUR_GOOGLE_ID",
"mode": "id"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
2640,
-144
],
"id": "YOUR_ID",
"name": "Google Drive \u2014 Download Gold file (for REPORT)",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
3168,
-144
],
"id": "YOUR_ID",
"name": "Extract from CSV File from GOLD (for REPORT)"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
3232,
480
],
"id": "YOUR_ID",
"name": "Extract from CSV File from CLEAN (for REPORT)"
},
{
"parameters": {
"operation": "fromJson",
"options": {}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
3232,
672
],
"id": "YOUR_ID",
"name": "Extract from JSON File from CLEAN (for REPORT)"
},
{
"parameters": {
"operation": "text",
"options": {}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
3232,
848
],
"id": "YOUR_ID",
"name": "Extract from TXT File from CLEAN (for REPORT)"
},
{
"parameters": {
"jsCode": "// Get file meta from Download node\nconst fileMeta = $node[\"Google Drive \u2014 Download CLEAN file (for REPORT)\"].json;\n\nconst rows = items.map(i => i.json);\nconst sampleRows = rows.slice(0, 5); // first 5 rows only\n\nreturn [{\n json: {\n fileName: fileMeta.name,\n mimeType: fileMeta.mimeType,\n source: \"csv\",\n rowCount: rows.length,\n sampleRows,\n }\n}];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3472,
480
],
"id": "YOUR_ID",
"name": "Function \u2014 Build Sample (CSV) from CLEAN"
},
{
"parameters": {
"jsCode": "const fileMeta = $node[\"Google Drive \u2014 Download CLEAN file (for REPORT)\"].json;\n\nconst rows = items.map(i => i.json);\nconst sampleRows = rows.slice(0, 5);\n\nreturn [{\n json: {\n fileName: fileMeta.name,\n mimeType: fileMeta.mimeType,\n source: \"json\",\n rowCount: rows.length,\n sampleRows,\n }\n}];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3472,
672
],
"id": "YOUR_ID",
"name": "Function \u2014 Build Sample (JSON) from CLEAN"
},
{
"parameters": {
"jsCode": "const fileMeta = $node[\"Google Drive \u2014 Download CLEAN file (for REPORT)\"].json;\n\n// Depending on Extract node, the text might be in json, json.data, or similar\nconst raw = items[0].json.data ?? items[0].json ?? \"\";\n\nlet text;\nif (typeof raw === 'string') {\n text = raw;\n} else {\n // If it's an object/array, stringify it so GPT still sees the content\n text = JSON.stringify(raw, null, 2);\n}\n\nreturn [{\n json: {\n fileName: fileMeta.name,\n mimeType: fileMeta.mimeType,\n source: \"txt\",\n textPreview: text.slice(0, 2000) // cap length\n }\n}];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3472,
848
],
"id": "YOUR_ID",
"name": "Function \u2014 Build Sample (TXT) from CLEAN"
},
{
"parameters": {
"jsCode": "// We expect a single item from \"Extract from CSV File from GOLD (for REPORT)\"\nconst item = (items[0] && items[0].json) || {};\n\n// 1) Rebuild the KPIs object from fields like \"kpis.win_rate\", \"kpis.avg_margin\", ...\nconst kpis = {};\n\n// Case A: if extractor already gives a nested \"kpis\" object\nif (item.kpis && typeof item.kpis === 'object') {\n for (const [metric, raw] of Object.entries(item.kpis)) {\n let value = raw;\n if (typeof value === 'string') {\n const n = Number(value);\n value = isNaN(n) ? value : n;\n }\n kpis[metric] = value;\n }\n} else {\n // Case B: flattened keys like \"kpis.win_rate\"\n for (const key of Object.keys(item)) {\n if (!key.startsWith('kpis.')) continue;\n\n const metric = key.slice('kpis.'.length); // e.g. \"win_rate\"\n let value = item[key];\n\n if (typeof value === 'string') {\n const n = Number(value);\n value = isNaN(n) ? value : n;\n }\n\n kpis[metric] = value;\n }\n}\n\n// Optional extras: summary text from the KPI CSV (if present)\nconst summary = item.summary || null;\n\n// Metadata about the KPI file from the Download node\nconst fileMeta = $node[\"Google Drive \u2014 Download Gold file (for REPORT)\"].json;\n\nreturn [{\n json: {\n kpis,\n kpiSource: {\n fileName: fileMeta.name,\n fileId: fileMeta.id,\n },\n summary, // optional, can be used in the REPORT prompt\n }\n}];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3664,
-144
],
"id": "YOUR_ID",
"name": "Function \u2014 Build KPI Object from GOLD (for REPORT)"
},
{
"parameters": {
"mode": "combine",
"combineBy": "combineByPosition",
"options": {}
},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
3952,
112
],
"id": "YOUR_ID",
"name": "Merge \u2014 (CLEAN summary + GOLD KPI object)"
},
{
"parameters": {
"jsCode": "// Gather ALL processed samples coming from Split In Batches (Done Output)\nconst samples = $input.all().map(i => i.json);\n\nreturn [{\n json: {\n cleanSummary: {\n fileCount: samples.length,\n files: samples,\n }\n }\n}];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3664,
256
],
"id": "YOUR_ID",
"name": "Function \u2014 Unified CLEAN Summary"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
4256,
368
],
"id": "YOUR_ID",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "Stub prompt \u2013 use chat messages below.",
"messages": {
"messageValues": [
{
"message": "You are the REPORT AI agent inside the Personal AI Factory v1 (ANIS).|You receive one JSON object with:- kpis: numeric metrics (e.g. avg_margin, aging_days, count_rows, win_rate if present)- kpiSource: metadata about the KPI file- summary: plain text hint from the KPI engine- cleanSummary: { fileCount, files[] }, where each file has: - fileName - source: csv | json | txt - rowCount? and sampleRows? for csv/json - textPreview? for txtRules:- Use kpis as the only numeric truth source. Do not invent or guess numbers.- Do not infer KPIs from cleanSummary sampleRows; they are only for qualitative context.- Do not use any external knowledge. Only use the JSON content.Output (plain text, no JSON, no markdown):1) KPI Overview \u2013 short paragraph summarizing what the KPIs indicate.2) Data Processed \u2013 describe how many files were processed and what types they are.3) Key Insights \u2013 3\u20135 bullet-style sentences (write bullets as \"- ...\") linking KPIs and file insights.4) Recommended Actions \u2013 3\u20135 action-oriented sentences, grounded strictly in the KPIs and the examples from cleanSummary.Tone: professional, concise, business-focused. No chit-chat, no self-reference."
},
{
"type": "YOUR_ID",
"message": "=Here is the merged JSON for today\u2019s report:\n\n{{ JSON.stringify($json, null, 2) }}\n\nGenerate the report according to the system instructions.\n"
}
]
},
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.7,
"position": [
4160,
112
],
"id": "YOUR_ID",
"name": "Basic LLM Chain"
},
{
"parameters": {
"operation": "toText",
"sourceProperty": "reportText",
"options": {}
},
"type": "n8n-nodes-base.convertToFile",
"typeVersion": 1.1,
"position": [
4688,
112
],
"id": "YOUR_ID",
"name": "Convert to TXT File (for REPORT agent)"
},
{
"parameters": {
"jsCode": "// Extract the text returned by Gemini\nconst geminiOutput = $json.text || \"\";\n\n// Build YYYY-MM-DD manually to avoid timezone issues\nconst d = new Date();\nconst year = d.getFullYear();\nconst month = String(d.getMonth() + 1).padStart(2, \"0\");\nconst day = String(d.getDate()).padStart(2, \"0\");\nconst today = `${year}-${month}-${day}`;\n\n// Filename format: YYYY-MM-DD_REPORT.txt (e.g., 2025-12-07_REPORT.txt)\nconst reportFileName = `${today}_REPORT.txt`;\n\n// Output structured data for next node\nreturn [\n {\n json: {\n reportText: geminiOutput,\n reportFileName,\n }\n }\n];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
4480,
112
],
"id": "YOUR_ID",
"name": "Function \u2013 Format REPORT content (prepare text + filename)"
},
{
"parameters": {
"name": "={{ $node[\"Function \u2013 Format REPORT content (prepare text + filename)\"].json[\"reportFileName\"] }}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"folderId": {
"__rl": true,
"value": "YOUR_GOOGLE_ID",
"mode": "id"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
4912,
112
],
"id": "YOUR_ID",
"name": "Google Drive \u2013 Upload to REPORT folder (Inside GOLD folder)",
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "YOUR_GOOGLE_ID",
"mode": "list",
"cachedResultName": "AI_Factory_Control",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "YOUR_SHEET_ID",
"mode": "list",
"cachedResultName": "EVENT_LOG",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1G4x50V3uHSy-jCFt_pf-ZDpvlJN9HPX018-ju8PHdNY/edit#gid=2072862873"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"ts": "={{ $now }}",
"agent": "report",
"input": "={{ $node[\"Function \u2013 Format REPORT content (prepare text + filename)\"].json[\"reportFileName\"] }}",
"output": "={{ $node[\"Google Drive \u2013 Upload to REPORT folder (Inside GOLD folder)\"].json[\"webViewLink\"] }}",
"notes": "Generated KPI summary and uploaded TXT to REPORT folder",
"status": "report_success",
"action": "YOUR_ID"
},
"matchingColumns": [],
"schema": [
{
"id": "ts",
"displayName": "ts",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "agent",
"displayName": "agent",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "action",
"displayName": "action",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "input",
"displayName": "input",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "output",
"displayName": "output",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "status",
"displayName": "status",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "notes",
"displayName": "notes",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.7,
"position": [
5136,
112
],
"id": "YOUR_ID",
"name": "Google Sheets \u2014 Append EVENT_LOG (report_success)",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "REPORT Agent",
"height": 1440,
"width": 3696,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"position": [
1728,
-256
],
"typeVersion": 1,
"id": "YOUR_ID",
"name": "Sticky Note3"
}
],
"connections": {
"When Executed by Another Workflow": {
"main": [
[
{
"node": "Google Drive \u2014 List Files (GOLD folder)",
"type": "main",
"index": 0
},
{
"node": "Google Drive \u2014 List Files (CLEAN folder) for REPORT agent",
"type": "main",
"index": 0
}
]
]
},
"Google Drive \u2014 List Files (GOLD folder)": {
"main": [
[
{
"node": "Google Drive \u2014 Download Gold file (for REPORT)",
"type": "main",
"index": 0
}
]
]
},
"Google Drive \u2014 List Files (CLEAN folder) for REPORT agent": {
"main": [
[
{
"node": "Split In Batches \u2014 FOR EACH CLEAN FILE (for REPORT)",
"type": "main",
"index": 0
}
]
]
},
"Switch \u2014 File Type (by mimeType/extension)": {
"main": [
[
{
"node": "Extract from CSV File from CLEAN (for REPORT)",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from JSON File from CLEAN (for REPORT)",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from TXT File from CLEAN (for REPORT)",
"type": "main",
"index": 0
}
]
]
},
"Google Drive \u2014 Download CLEAN file (for REPORT)": {
"main": [
[
{
"node": "Switch \u2014 File Type (by mimeType/extension)",
"type": "main",
"index": 0
}
]
]
},
"Split In Batches \u2014 FOR EACH CLEAN FILE (for REPORT)": {
"main": [
[
{
"node": "Function \u2014 Unified CLEAN Summary",
"type": "main",
"index": 0
}
],
[
{
"node": "Google Drive \u2014 Download CLEAN file (for REPORT)",
"type": "main",
"index": 0
}
]
]
},
"Merge \u2014 CLEAN Samples": {
"main": [
[
{
"node": "Split In Batches \u2014 FOR EACH CLEAN FILE (for REPORT)",
"type": "main",
"index": 0
}
]
]
},
"Google Drive \u2014 Download Gold file (for REPORT)": {
"main": [
[
{
"node": "Extract from CSV File from GOLD (for REPORT)",
"type": "main",
"index": 0
}
]
]
},
"Extract from CSV File from GOLD (for REPORT)": {
"main": [
[
{
"node": "Function \u2014 Build KPI Object from GOLD (for REPORT)",
"type": "main",
"index": 0
}
]
]
},
"Extract from CSV File from CLEAN (for REPORT)": {
"main": [
[
{
"node": "Function \u2014 Build Sample (CSV) from CLEAN",
"type": "main",
"index": 0
}
]
]
},
"Extract from JSON File from CLEAN (for REPORT)": {
"main": [
[
{
"node": "Function \u2014 Build Sample (JSON) from CLEAN",
"type": "main",
"index": 0
}
]
]
},
"Extract from TXT File from CLEAN (for REPORT)": {
"main": [
[
{
"node": "Function \u2014 Build Sample (TXT) from CLEAN",
"type": "main",
"index": 0
}
]
]
},
"Function \u2014 Build Sample (CSV) from CLEAN": {
"main": [
[
{
"node": "Merge \u2014 CLEAN Samples",
"type": "main",
"index": 0
}
]
]
},
"Function \u2014 Build Sample (JSON) from CLEAN": {
"main": [
[
{
"node": "Merge \u2014 CLEAN Samples",
"type": "main",
"index": 1
}
]
]
},
"Function \u2014 Build Sample (TXT) from CLEAN": {
"main": [
[
{
"node": "Merge \u2014 CLEAN Samples",
"type": "main",
"index": 2
}
]
]
},
"Function \u2014 Build KPI Object from GOLD (for REPORT)": {
"main": [
[
{
"node": "Merge \u2014 (CLEAN summary + GOLD KPI object)",
"type": "main",
"index": 0
}
]
]
},
"Merge \u2014 (CLEAN summary + GOLD KPI object)": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"Function \u2014 Unified CLEAN Summary": {
"main": [
[
{
"node": "Merge \u2014 (CLEAN summary + GOLD KPI object)",
"type": "main",
"index": 1
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "Function \u2013 Format REPORT content (prepare text + filename)",
"type": "main",
"index": 0
}
]
]
},
"Convert to TXT File (for REPORT agent)": {
"main": [
[
{
"node": "Google Drive \u2013 Upload to REPORT folder (Inside GOLD folder)",
"type": "main",
"index": 0
}
]
]
},
"Function \u2013 Format REPORT content (prepare text + filename)": {
"main": [
[
{
"node": "Convert to TXT File (for REPORT agent)",
"type": "main",
"index": 0
}
]
]
},
"Google Drive \u2013 Upload to REPORT folder (Inside GOLD folder)": {
"main": [
[
{
"node": "Google Sheets \u2014 Append EVENT_LOG (report_success)",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "YOUR_ID",
"id": "BFyXy0VYIl1DFBjA",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDriveOAuth2ApigooglePalmApigoogleSheetsOAuth2Api
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
REPORT Agent Sub-Workflow. Uses executeWorkflowTrigger, googleDrive, lmChatGoogleGemini, chainLlm. Event-driven trigger; 25 nodes.
Source: https://github.com/anshwysmcbel2710/anis-personal-ai-factory-controller/blob/main/workflows/scheduled/report_agent_sub_workflow.json — original creator credit. Request a take-down →
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