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Template 2 | Operasyon için n8n Otomasyon İş Akışı Şablonu
n8n için hazır otomasyon şablonu: Template 2. 17 düğüm. JSON'u kopyalayıp n8n'e içe aktarın.
17 κόμβοιTemplate_2-workflow.json
{"id": "XIcKeYYhzG9DdDPN","meta": {"instanceId": "e7ccf4281d5afb175c79c02db95b45f15d5b53862cb6bc357c5e5bc26567f35c","templateCredsSetupCompleted": true},"name": "Template 2","tags": [],"nodes": [{"id": "c4a7b5c1-f74e-4de0-9469-146a197c42f5","name": "When Executed by Another Workflow","type": "n8n-nodes-base.executeWorkflowTrigger","position": [-1560,360],"parameters": {"inputSource": "passthrough"},"typeVersion": 1.1},{"id": "1f37374e-3c5c-4dad-bfa0-5e948cfbd6e5","name": "Query agent","type": "@n8n/n8n-nodes-langchain.agent","position": [-1320,360],"parameters": {"text": "={{ $json.query }}","options": {"systemMessage": "# SQL Query Generator - Sub Agent Template\n\nYou are a PostgreSQL query generator. Convert user requests into SELECT queries for the database table.\n\n## CRITICAL: OUTPUT FORMAT\n- Output ONLY the SQL query\n- NO explanations, descriptions, or additional text\n- NO code blocks or formatting\n- Just the raw SQL query string\n\n## DATABASE SCHEMA:\n**[REPLACE WITH YOUR DATABASE SCHEMA]**\n```\n[TABLE_NAME] Table:\nid (bigint, Primary Key)\n[field_name] (data_type)\n[field_name] (data_type)\n...\n```\n\n## STRICT RULES:\n1. ONLY SELECT queries - NO INSERT/UPDATE/DELETE/DROP/ALTER\n2. Table name: \"[YOUR_TABLE_NAME]\" (use double quotes if needed)\n3. Column names with spaces: use double quotes (\"[column name]\")\n4. Boolean columns: use true/false (not 1/0)\n5. Text searches: use ILIKE for case-insensitive matching\n6. Always end query with semicolon\n\n## EXAMPLES:\n**[CUSTOMIZE THESE EXAMPLES FOR YOUR USE CASE]**\nUser: \"Show verified entries\" \nResponse: SELECT * FROM \"[YOUR_TABLE]\" WHERE [verified_field] = true;\n\nUser: \"Top 10 most popular\" \nResponse: SELECT * FROM \"[YOUR_TABLE]\" ORDER BY [popularity_field] DESC LIMIT 10;\n\nUser: \"Items containing [keyword]\"\nResponse: SELECT * FROM \"[YOUR_TABLE]\" WHERE [description_field] ILIKE '%[keyword]%';\n\nREMEMBER: Output ONLY the SQL query, nothing else."},"promptType": "define"},"typeVersion": 2},{"id": "1019eeda-425f-4450-934e-0224c689a801","name": "Think","type": "@n8n/n8n-nodes-langchain.toolThink","position": [-1140,580],"parameters": {"description": "Think if the ouputed query really matches the input message."},"typeVersion": 1},{"id": "2219bc4a-cdf2-4297-9bd6-423d0f138319","name": "OpenRouter Chat Model","type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter","position": [-1340,560],"parameters": {"model": "anthropic/claude-3.5-sonnet","options": {}},"credentials": {"openRouterApi": {"id": "1t22HwKbMlWsWxcJ","name": "OpenRouter account"}},"typeVersion": 1},{"id": "21a65536-abfd-4d19-94c9-9aa8d839db16","name": "Postgres Chat Memory","type": "@n8n/n8n-nodes-langchain.memoryPostgresChat","position": [-280,80],"parameters": {"sessionKey": "C08SU8T0FJ8","sessionIdType": "customKey"},"credentials": {"postgres": {"id": "6uE1gPELXSqR1Wgn","name": "Postgres accou"}},"typeVersion": 1.3},{"id": "32cf9699-649c-4781-b27b-c68e7ff306a4","name": "OpenRouter Chat Model1","type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter","position": [-440,80],"parameters": {"model": "anthropic/claude-3.5-sonnet","options": {}},"credentials": {"openRouterApi": {"id": "1t22HwKbMlWsWxcJ","name": "OpenRouter account"}},"typeVersion": 1},{"id": "cacfb298-2ee6-4292-ade7-bb18436df301","name": "Think1","type": "@n8n/n8n-nodes-langchain.toolThink","position": [-140,80],"parameters": {},"typeVersion": 1},{"id": "6c979f9c-38df-4b8d-a7c2-be499bd37cd7","name": "Download File1","type": "n8n-nodes-base.telegram","position": [-1040,-280],"webhookId": "00c7755c-cd84-4aa4-89fe-c56f1f0cb50d","parameters": {"fileId": "={{ $json.message.voice.file_id }}","resource": "file"},"credentials": {"telegramApi": {"id": "GX0f93u8bE9meFhE","name": "customer service"}},"typeVersion": 1.2},{"id": "578c6f2d-d738-49d3-95f4-6de6a48c5754","name": "Transcribe1","type": "@n8n/n8n-nodes-langchain.openAi","position": [-820,-280],"parameters": {"options": {},"resource": "audio","operation": "transcribe"},"credentials": {"openAiApi": {"id": "OQJASLp1qn1StvpI","name": "OpenAi account"}},"typeVersion": 1.6},{"id": "68b40dcf-46a0-47e8-9f63-ce020f08c4c6","name": "Telegram Trigger1","type": "n8n-nodes-base.telegramTrigger","position": [-1480,-180],"webhookId": "75096a78-a466-4f4e-bc0d-f68e9e952231","parameters": {"updates": ["message"],"additionalFields": {}},"credentials": {"telegramApi": {"id": "1vaRNATU5x2lDpH2","name": "supachat"}},"typeVersion": 1.1},{"id": "e28131b3-4c13-4c5a-b6d1-e9be94970c9f","name": "Voice or Text","type": "n8n-nodes-base.switch","position": [-1260,-180],"parameters": {"rules": {"values": [{"outputKey": "Voice","conditions": {"options": {"version": 2,"leftValue": "","caseSensitive": true,"typeValidation": "strict"},"combinator": "and","conditions": [{"id": "612fa3b1-0e08-47f3-9455-746568546ab6","operator": {"type": "string","operation": "exists","singleValue": true},"leftValue": "={{ $json.message.voice.file_id }}","rightValue": ""}]},"renameOutput": true},{"outputKey": "Text","conditions": {"options": {"version": 2,"leftValue": "","caseSensitive": true,"typeValidation": "strict"},"combinator": "and","conditions": [{"id": "8c844924-b2ed-48b0-935c-c66a8fd0c778","operator": {"type": "string","operation": "exists","singleValue": true},"leftValue": "={{ $json.message.text }}","rightValue": ""}]},"renameOutput": true}]},"options": {}},"typeVersion": 3.2},{"id": "b8d80841-beeb-43f9-a51b-3ea3683c4ba1","name": "Text","type": "n8n-nodes-base.set","position": [-940,-80],"parameters": {"options": {},"assignments": {"assignments": [{"id": "fe7ecc99-e1e8-4a5e-bdd6-6fce9757b234","name": "text","type": "string","value": "={{ $json.message.text }}"}]}},"typeVersion": 3.4},{"id": "e5e1508a-ceb2-49fd-b3d2-ef87338a230b","name": "Merge","type": "n8n-nodes-base.merge","position": [-600,-180],"parameters": {},"typeVersion": 3.1},{"id": "be9cde2d-e131-406b-a061-49193941e159","name": "Main agent","type": "@n8n/n8n-nodes-langchain.agent","position": [-320,-180],"parameters": {"text": "={{ $json.text }}","options": {"systemMessage": "# Database Assistant - Main Agent\n\nYou are an intelligent database assistant that helps users find and explore information from a structured database. You work with a specialized SQL sub-agent to retrieve data efficiently.\n\n## DATABASE SCHEMA:\n**[REPLACE WITH YOUR DATABASE SCHEMA]**\n```\nExample format:\nid (bigint, Primary Key)\nname (text)\ndescription (text)\ncategory (text)\n...\n```\n\n## CRITICAL OPERATIONAL RULES:\n- **ALWAYS use LIMIT in queries** - Default: 10, Maximum: 50\n- **NEVER request unlimited data** - this breaks the system\n- Use ORDER BY with LIMIT for meaningful results\n- Apply specific filters and conditions to narrow results\n\n## COMMUNICATION WITH SQL SUB-AGENT:\nSend clear, natural language requests:\n- \"Show me the 10 most popular [YOUR_ITEMS] in [CATEGORY_FIELD]\"\n- \"Find 5 newest verified entries containing '[KEYWORD]'\"\n- \"Get top 15 [YOUR_ITEMS] by [ACTIVITY_METRIC]\"\n- \"Search for entries with [PRICE_FIELD] less than [AMOUNT], limit 20\"\n\n## RESPONSE GUIDELINES:\nPresent results in a user-friendly format:\n- Highlight key information ([NAME_FIELD], [DESCRIPTION_FIELD], metrics)\n- Include relevant metadata ([VERIFICATION_FIELD], [POPULARITY_FIELD], [CATEGORIES_FIELD])\n- Provide actionable insights\n- Suggest related searches or refinements\n\n## DATA INTERPRETATION:\n**[CUSTOMIZE THESE FIELD DESCRIPTIONS]**\n- **[POPULARITY_FIELD]**: [Description of what this metric means]\n- **[ACTIVITY_FIELD]**: [Description of recent activity indicator]\n- **[VERIFICATION_FIELD]**: [Description of quality/trust indicator]\n- **[CATEGORY_FIELD]**: [Description of classification system]\n- **[PRICE_FIELD]**: [Description of pricing (0 = free, etc.)]\n\nAlways respect system limits and focus on delivering relevant, targeted results."},"promptType": "define"},"typeVersion": 2},{"id": "ec7a16f3-fd62-4952-a074-3c044de6e86f","name": "SEND MESSAGE","type": "n8n-nodes-base.telegram","position": [120,-180],"webhookId": "1aa59dcd-d299-439f-9fdc-96eae710da9d","parameters": {"text": "={{ $json.output }}","chatId": "(YOUR CHAT ID)","additionalFields": {}},"credentials": {"telegramApi": {"id": "1vaRNATU5x2lDpH2","name": "supachat"}},"typeVersion": 1.2},{"id": "4dfb46ad-d110-40e6-9a87-3c247fc2d8d3","name": "CALL QUERY AGENT","type": "@n8n/n8n-nodes-langchain.toolWorkflow","position": [-20,80],"parameters": {"workflowId": {"__rl": true,"mode": "list","value": "Iw7dOCXYbpfRJrlW","cachedResultName": "query agent"},"description": "Call this tool for sql querys in natural language","workflowInputs": {"value": {},"schema": [],"mappingMode": "defineBelow","matchingColumns": [],"attemptToConvertTypes": false,"convertFieldsToString": false}},"typeVersion": 2.2},{"id": "dd79a9fb-cf29-4266-a51d-114713e030c0","name": "ACCES DATABASE WITH DYNAMIC QUERYS","type": "n8n-nodes-base.postgres","position": [-980,360],"parameters": {"query": "{{ $json.output }}","options": {"largeNumbersOutput": "numbers","replaceEmptyStrings": true},"operation": "executeQuery"},"credentials": {"postgres": {"id": "6uE1gPELXSqR1Wgn","name": "Postgres accou"}},"typeVersion": 2.6},{"id": "a302abcd-e6a0-4150-bcd7-84c549c1dc94","name": "Sticky Note","type": "n8n-nodes-base.stickyNote","position": [-1600,-540],"parameters": {"color": 6,"width": 1960,"height": 800,"content": "# MAIN AGENT"},"typeVersion": 1},{"id": "cfcf980f-e037-4c6a-9dd3-7ba4359f6b44","name": "Sticky Note1","type": "n8n-nodes-base.stickyNote","position": [-1600,260],"parameters": {"color": 4,"width": 1220,"height": 440,"content": "# SUB AGENT"},"typeVersion": 1},{"id": "4aaa94db-f919-44d4-9c0f-c703d3838e94","name": "Sticky Note2","type": "n8n-nodes-base.stickyNote","position": [-2320,-540],"parameters": {"color": 2,"width": 1780,"height": 1760,"content": "# Setup & Configuration Guide\n\n## 📋 **Setup Checklist**\n```\n□ Install N8N workflow platform\n□ Set up PostgreSQL database\n□ Configure AI Agent nodes\n□ Test sub-workflow connection\n□ Validate query limits\n□ Deploy and monitor\n```\n\n---\n\n## 🔧 **Database Configuration**\n```\n🎯 CRITICAL SETUP STEPS:\n1. Create your PostgreSQL table\n2. Replace [YOUR_TABLE_NAME] in templates\n3. Update database schema in both agents\n4. Set connection credentials in N8N\n5. Test database connectivity\n```\n\n---\n\n## 🤖 **Main Agent Setup**\n```\n📍 WHAT TO REPLACE:\n• [YOUR_DATABASE_SCHEMA] → Your actual table structure\n• [YOUR_ITEMS] → What you're querying (products, users, etc.)\n• [CATEGORY_FIELD] → Your category column name\n• [POPULARITY_FIELD] → Your popularity metric column\n• [PRICE_FIELD] → Your price column name\n```\n\n---\n\n## ⚙️ **Sub-Agent Configuration**\n```\n🔄 TEMPLATE REPLACEMENTS:\n• [YOUR_TABLE_NAME] → Actual table name\n• [field_name] → Your column names\n• [verified_field] → Your verification column\n• [popularity_field] → Your popularity column\n• [description_field] → Your description column\n```\n\n---\n\n## 🚨 **Critical System Limits**\n```\n⚠️ NEVER FORGET:\n• Default LIMIT: 10 results\n• Maximum LIMIT: 50 results\n• NO unlimited queries allowed\n• Always use ORDER BY with LIMIT\n• System will break without limits!\n```\n\n---\n\n## 🔗 **Workflow Architecture**\n```\n┌─────────────────┐\n│ USER QUERY │\n└─────────┬───────┘\n │\n┌─────────▼───────┐\n│ MAIN AGENT │ ← Interprets user needs\n└─────────┬───────┘\n │\n┌─────────▼───────┐\n│ SUB-AGENT │ ← Generates SQL query\n└─────────┬───────┘\n │\n┌─────────▼───────┐\n│ DATABASE │ ← Executes query\n└─────────┬───────┘\n │\n┌─────────▼───────┐\n│ FORMATTED │ ← Returns to user\n│ RESPONSE │\n└─────────────────┘\n```"},"typeVersion": 1}],"active": false,"pinData": {},"settings": {"executionOrder": "v1"},"versionId": "36903df7-c2e2-4b12-b58d-9c9fbeebea24","connections": {"Text": {"main": [[{"node": "Merge","type": "main","index": 1}]]},"Merge": {"main": [[{"node": "Main agent","type": "main","index": 0}]]},"Think": {"ai_tool": [[{"node": "Query agent","type": "ai_tool","index": 0}]]},"Think1": {"ai_tool": [[{"node": "Main agent","type": "ai_tool","index": 0}]]},"Main agent": {"main": [[{"node": "SEND MESSAGE","type": "main","index": 0}]]},"Query agent": {"main": [[{"node": "ACCES DATABASE WITH DYNAMIC QUERYS","type": "main","index": 0}]]},"Transcribe1": {"main": [[{"node": "Merge","type": "main","index": 0}]]},"Voice or Text": {"main": [[{"node": "Download File1","type": "main","index": 0}],[{"node": "Text","type": "main","index": 0}]]},"Download File1": {"main": [[{"node": "Transcribe1","type": "main","index": 0}]]},"CALL QUERY AGENT": {"ai_tool": [[{"node": "Main agent","type": "ai_tool","index": 0}]]},"Telegram Trigger1": {"main": [[{"node": "Voice or Text","type": "main","index": 0}]]},"Postgres Chat Memory": {"ai_memory": [[{"node": "Main agent","type": "ai_memory","index": 0}]]},"OpenRouter Chat Model": {"ai_languageModel": [[{"node": "Query agent","type": "ai_languageModel","index": 0}]]},"OpenRouter Chat Model1": {"ai_languageModel": [[{"node": "Main agent","type": "ai_languageModel","index": 0}]]},"When Executed by Another Workflow": {"main": [[{"node": "Query agent","type": "main","index": 0}]]}}}
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