{ "name": "[HUB] \u0416\u043e\u0440\u0430 Action", "description": null, "nodes": [ { "id": "action-trigger", "name": "When Called by \u0416\u043e\u0440\u0430", "type": "n8n-nodes-base.executeWorkflowTrigger", "typeVersion": 1.1, "position": [ -800, 0 ], "parameters": { "inputSource": "passthrough" } }, { "id": "", "name": "Switch by Intent", "type": "n8n-nodes-base.switch", "typeVersion": 3.2, "position": [ -600, 0 ], "parameters": { "rules": { "values": [ { "outputKey": "new_task", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "new-task-check", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.output.intent }}", "rightValue": "new_task" } ] }, "renameOutput": true }, { "outputKey": "task_update", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "task-update-check", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.output.intent }}", "rightValue": "task_update" } ] }, "renameOutput": true }, { "outputKey": "dialogue", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "dialogue-check", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.output.intent }}", "rightValue": "dialogue" } ] }, "renameOutput": true } ] }, "options": { "fallbackOutput": "none" } } }, { "id": "", "name": "Prepare New Task Data", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -400, -200 ], "parameters": { "jsCode": "const decision = $input.first().json.output;\nconst originalData = $('When Called by \u0416\u043e\u0440\u0430').first().json.original_data;\nconst context = originalData.context;\n\nlet sourceData = null;\n\n// ============================================\n// \u041f\u0420\u0418\u041e\u0420\u0418\u0422\u0415\u0422 #1-4: Context-based source_data\n// ============================================\n\nif (context && context.context_type) {\n \n // \u041f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 1: Reply \u043d\u0430 longread\n if (context.context_type === 'longread') {\n sourceData = {\n type: 'longread',\n news_list: context.content.news_list,\n user_instruction: decision.user_request\n };\n }\n \n // \u041f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 2: Forwarded message\n else if (context.context_type === 'forwarded') {\n sourceData = {\n type: 'forwarded_message',\n text: context.forwarded_content.text,\n forwarded_date: context.forwarded_content.forwarded_date\n };\n }\n \n // \u041f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 3: Photo\n else if (context.context_type === 'photo') {\n sourceData = {\n type: 'photo',\n photo_file_id: context.photo_file_id\n };\n }\n \n // \u041f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 3.5: Post (reply \u043d\u0430 \u043f\u043e\u0441\u0442)\n else if (context.context_type === 'post') {\n sourceData = {\n type: 'post',\n task_id: context.task_id,\n post_text: context.content?.post_text || '',\n photo_file_id: context.content?.photo_file_id || null,\n version: context.content?.version || 1,\n sources: context.content?.sources || []\n };\n console.log('[PREPARE NEW TASK] Post source_data from reply, text length:', sourceData.post_text.length);\n }\n \n // \u041f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 4: Task (\u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435)\n else if (context.context_type === 'task') {\n sourceData = null;\n }\n \n // \u041f\u0440\u0438\u043e\u0440\u0438\u0442\u0435\u0442 5: Research\n else if (context.context_type === 'research') {\n sourceData = {\n type: 'research',\n content: context.content?.content || null,\n sources: context.content?.sources || []\n };\n }\n \n else {\n sourceData = null;\n }\n}\n\n// \u041f\u0420\u0418\u041e\u0420\u0418\u0422\u0415\u0422 #5: \u041d\u0435\u044f\u0432\u043d\u044b\u0435 \u0441\u0441\u044b\u043b\u043a\u0438 \u043d\u0430 completed tasks\nif (!sourceData && decision.user_request) {\n const implicitReferences = [\n '\u0434\u043b\u044f \u044d\u0442\u043e\u0433\u043e \u043f\u043e\u0441\u0442\u0430',\n '\u043a \u044d\u0442\u043e\u043c\u0443 \u043f\u043e\u0441\u0442\u0443', \n '\u043f\u0440\u043e \u044d\u0442\u043e\u0442 \u043f\u043e\u0441\u0442',\n '\u0434\u043b\u044f \u0442\u043e\u0433\u043e \u043f\u043e\u0441\u0442\u0430',\n '\u043a \u0442\u043e\u0439 \u043d\u043e\u0432\u043e\u0441\u0442\u0438',\n '\u043f\u0440\u043e \u0442\u0443 \u043d\u043e\u0432\u043e\u0441\u0442\u044c',\n '\u0434\u043b\u044f \u044d\u0442\u043e\u0439 \u043d\u043e\u0432\u043e\u0441\u0442\u0438',\n '\u043a \u044d\u0442\u043e\u0439 \u043d\u043e\u0432\u043e\u0441\u0442\u0438'\n ];\n \n const requestLower = decision.user_request.toLowerCase();\n const hasImplicitReference = implicitReferences.some(phrase => \n requestLower.includes(phrase)\n );\n \n if (hasImplicitReference && originalData.completed_tasks?.length > 0) {\n const lastCopywritingTask = originalData.completed_tasks\n .filter(t => t.department === 'copywriting')\n .sort((a, b) => new Date(b.updated_at) - new Date(a.updated_at))[0];\n \n if (lastCopywritingTask) {\n sourceData = {\n reference_task_id: lastCopywritingTask.id, // \u2705 \u0422\u043e\u043b\u044c\u043a\u043e ID\n reference_type: 'post', // \u2705 \u0422\u0438\u043f \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0430\n user_request: decision.user_request // \u2705 \u0417\u0430\u043f\u0440\u043e\u0441\n };\n \n console.log('[PREPARE NEW TASK] Implicit reference detected, reference_task_id:', lastCopywritingTask.id);\n }\n }\n}\n// ============================================\n// \u0424\u041e\u0420\u041c\u0418\u0420\u0423\u0415\u041c \u0418\u0422\u041e\u0413\u041e\u0412\u042b\u0419 \u041e\u0411\u042a\u0415\u041a\u0422\n// ============================================\n\nreturn {\n json: {\n chat_id: originalData.chat_id,\n user_id: originalData.user_id,\n department: decision.department,\n status: 'created',\n initial_prompt: decision.user_request,\n source_data: sourceData,\n agent_output: {\n current_version: 1,\n versions: []\n },\n _trigger: {\n intent: 'new_task',\n chat_id: originalData.chat_id,\n reply_to_message_id: originalData.reply_to_message_id,\n user_request: decision.user_request,\n department: decision.department\n }\n }\n};" } }, { "id": "", "name": "Create Task in Supabase", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ -200, -200 ], "parameters": { "schema": "smm_army", "tableId": "tasks", "fieldsUi": { "fieldValues": [ { "fieldId": "chat_id", "fieldValue": "={{ $json.chat_id }}" }, { "fieldId": "user_id", "fieldValue": "={{ $json.user_id }}" }, { "fieldId": "department", "fieldValue": "={{ $json.department }}" }, { "fieldId": "status", "fieldValue": "={{ $json.status }}" }, { "fieldId": "initial_prompt", "fieldValue": "={{ $json.initial_prompt }}" }, { "fieldId": "agent_output", "fieldValue": "={{ $json.agent_output }}" }, { "fieldId": "source_data", "fieldValue": "={{ $json.source_data }}" }, { "fieldId": "version", "fieldValue": "1" } ] }, "useCustomSchema": true }, "credentials": { "supabaseApi": { "name": "" } } }, { "id": "", "name": "Prepare Update Task Data", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -400, 0 ], "parameters": { "jsCode": "const decision = $input.first().json.output;\nconst originalData = $('When Called by \u0416\u043e\u0440\u0430').first().json.original_data;\nconst context = originalData.context;\n\nlet taskId = null;\nlet taskData = null;\nlet fullAgentOutput = null;\n\n// \u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 completed tasks\nlet completedTasks = [];\ntry {\n completedTasks = originalData.completed_tasks || [];\n} catch (e) {\n console.log('[Prepare Update Task Data] Failed to load completed tasks:', e);\n completedTasks = [];\n}\n\n// \u041f\u0420\u0418\u041e\u0420\u0418\u0422\u0415\u0422 #1: target_task_id \u043e\u0442 AI Agent\nif (decision.target_task_id) {\n const targetTask = completedTasks.find(task => task.id === decision.target_task_id);\n \n if (targetTask) {\n taskId = targetTask.id;\n taskData = {\n current_version: targetTask.agent_output?.current_version || 0,\n department: targetTask.department\n };\n fullAgentOutput = targetTask.agent_output;\n } else {\n throw new Error(`Task ${decision.target_task_id} not found in completed tasks`);\n }\n}\n\n// \u041f\u0420\u0418\u041e\u0420\u0418\u0422\u0415\u0422 #2: REPLY \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\nelse if (context.task_id) {\n taskId = context.task_id;\n const targetTask = completedTasks.find(task => task.id === context.task_id);\n \n if (targetTask) {\n taskData = {\n current_version: targetTask.agent_output?.current_version || 0,\n department: targetTask.department\n };\n fullAgentOutput = targetTask.agent_output;\n } else {\n taskData = {\n current_version: 0,\n department: decision.department\n };\n fullAgentOutput = { current_version: 0, versions: [] };\n }\n}\n\n// \u041f\u0420\u0418\u041e\u0420\u0418\u0422\u0415\u0422 #3: \u041f\u043e\u0441\u043b\u0435\u0434\u043d\u044f\u044f \u0437\u0430\u0434\u0430\u0447\u0430 \u0441 matching department\nelse if (completedTasks.length > 0 && decision.department) {\n const tasksInDepartment = completedTasks.filter(\n task => task.department === decision.department\n );\n \n if (tasksInDepartment.length > 0) {\n const targetTask = tasksInDepartment[0];\n taskId = targetTask.id;\n taskData = {\n current_version: targetTask.agent_output?.current_version || 0,\n department: targetTask.department\n };\n fullAgentOutput = targetTask.agent_output;\n }\n}\n\n// FALLBACK: \u0437\u0430\u0434\u0430\u0447\u0438 \u043d\u0435 \u043d\u0430\u0448\u043b\u0438\nif (!taskId) {\n const hint = decision.department && completedTasks.length > 0\n ? `No ${decision.department} tasks found in recent history. Reply to a specific task message or create a new task.`\n : 'No recent completed tasks found. Reply to a task message or create a new task.';\n \n throw new Error(hint);\n}\n\n// \u0424\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c \u043e\u0431\u043d\u043e\u0432\u043b\u0451\u043d\u043d\u044b\u0439 agent_output\nif (typeof fullAgentOutput === 'string') {\n try {\n fullAgentOutput = JSON.parse(fullAgentOutput);\n } catch (e) {\n fullAgentOutput = { current_version: 0, versions: [] };\n }\n}\n\nlet versions = fullAgentOutput?.versions || [];\n\n// \u0421\u043e\u0437\u0434\u0430\u0451\u043c \u043d\u043e\u0432\u0443\u044e \u0432\u0435\u0440\u0441\u0438\u044e\nconst newVersion = {\n version: (fullAgentOutput?.current_version || 0) + 1,\n user_request: decision.user_request,\n agent_response: null,\n timestamp: new Date().toISOString()\n};\n\n// \u041f\u0440\u043e\u0432\u0435\u0440\u043a\u0430 \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438 (\u043b\u043e\u0433\u0438\u0440\u0443\u0435\u043c, \u043d\u0435 \u0431\u043b\u043e\u043a\u0438\u0440\u0443\u0435\u043c)\nif (versions.length > 0) {\n const lastVersion = versions[versions.length - 1];\n if (lastVersion.version && lastVersion.version !== newVersion.version - 1) {\n console.warn(`[PREPARE UPDATE] Version sequence warning: last=${lastVersion.version}, new=${newVersion.version}`);\n }\n}\n\nversions.push(newVersion);\n\nconst updatedAgentOutput = {\n versions: versions,\n current_version: newVersion.version\n};\n\nreturn {\n json: {\n task_id: taskId,\n agent_output: updatedAgentOutput,\n status: 'in_progress',\n department: taskData?.department || decision.department,\n reply_to_message_id: originalData.reply_to_message_id,\n _trigger: {\n intent: 'task_update',\n chat_id: originalData.chat_id,\n reply_to_message_id: originalData.reply_to_message_id,\n user_request: decision.user_request,\n department: taskData?.department || decision.department\n }\n }\n};" } }, { "id": "", "name": "Update Task in Supabase", "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ -200, 0 ], "parameters": { "schema": "smm_army", "filters": { "conditions": [ { "keyName": "id", "keyValue": "={{ $json.task_id }}", "condition": "eq" } ] }, "tableId": "tasks", "fieldsUi": { "fieldValues": [ { "fieldId": "status", "fieldValue": "in_progress" } ] }, "matchType": "allFilters", "operation": "update", "useCustomSchema": true }, "credentials": { "supabaseApi": { "name": "" } } }, { "id": "", "name": "Send Clarification", "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [ 0, 200 ], "parameters": { "text": "={{ $json.message }}", "chatId": "={{ $json.chat_id }}", "resource": "message", "operation": "sendMessage", "additionalFields": { "parse_mode": "Markdown", "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } } }, { "id": "", "name": "Merge All Routes", "type": "n8n-nodes-base.merge", "typeVersion": 3.2, "position": [ 0, -100 ], "parameters": {} }, { "id": "", "name": "Prepare Success Message", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 200, -100 ], "parameters": { "jsCode": "const taskData = $input.first().json;\nconst trg = taskData._trigger || {};\nconst intent = trg.intent || 'new_task';\nconst department = taskData.department || trg.department;\n\nconst newTaskPhrases = [\n '\u0421\u043e\u0437\u0434\u0430\u043b \u0437\u0430\u0434\u0430\u0447\u0443 \u2705',\n '\u0412 \u0440\u0430\u0431\u043e\u0442\u0435 \ud83d\ude80',\n '\u0421\u0443\u0435\u0447\u0443\u0441\u044c \u2728',\n '\u0423\u0436\u0435 \u0434\u0435\u043b\u0430\u044e \u26a1',\n '\u0423\u0436\u0435 \u043d\u0430\u0447\u0430\u043b \ud83d\udc4c',\n '\u0414\u0435\u043b\u0430\u044e \u26a1'\n];\n\nconst updateTaskPhrases = [\n '\u041e\u0431\u043d\u043e\u0432\u043b\u044f\u044e \ud83d\udd04',\n '\u041f\u0440\u0430\u0432\u043b\u044e \ud83d\udee0',\n '\u041d\u0435 \u0432\u043e\u043f\u0440\u043e\u0441 \ud83d\udee0',\n '\u041c\u043e\u043c\u0435\u043d\u0442\u0438\u043a \u2699\ufe0f',\n '\u0429\u0430 \u0431\u0443\u0434\u0435\u0442 \ud83d\udd04'\n];\n\nlet message = '';\n\nif (intent === 'new_task') {\n message = newTaskPhrases[Math.floor(Math.random() * newTaskPhrases.length)];\n} else if (intent === 'task_update') {\n message = updateTaskPhrases[Math.floor(Math.random() * updateTaskPhrases.length)];\n} else {\n message = '\u0413\u043e\u0442\u043e\u0432\u043e!';\n}\n\nlet effectiveUserRequest = taskData.initial_prompt;\nif (intent === 'task_update') {\n effectiveUserRequest = trg.user_request || taskData.initial_prompt;\n}\n\nreturn {\n json: {\n ...taskData,\n telegram_message: message,\n chat_id: trg.chat_id || taskData.chat_id,\n department: department,\n effective_user_request: effectiveUserRequest,\n reply_to_message_id: trg.reply_to_message_id || taskData.reply_to_message_id || null\n }\n};" } }, { "id": "", "name": "Send Confirmation", "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [ 400, 100 ], "parameters": { "text": "={{ $json.telegram_message }}", "chatId": "={{ $json.chat_id }}", "resource": "message", "operation": "sendMessage", "additionalFields": { "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } } }, { "id": "e3216da4-7c17-4581-a7b4-95fe", "name": "Execute Copywriting", "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.3, "position": [ 600, -300 ], "parameters": { "options": { "waitForSubWorkflow": false }, "workflowId": { "__rl": true, "mode": "list", "value": "ms4UpiiPsGF8GRpZ", "cachedResultUrl": "/workflow/7eCTCPZ2fFhMqhKd", "cachedResultName": "" }, "workflowInputs": { "value": {}, "schema": [], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": true } } }, { "id": "", "name": "Execute Research", "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.3, "position": [ 600, 300 ], "parameters": { "options": { "waitForSubWorkflow": false }, "workflowId": { "__rl": true, "mode": "list", "value": "w2J2Nvqf9w3T8G2I", "cachedResultUrl": "/workflow/YWVgcNTa3YG2rvJA", "cachedResultName": "[SMM] Research Agent" }, "workflowInputs": { "value": {}, "schema": [], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": true } } }, { "id": "", "name": "Execute Image Gen", "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.3, "position": [ 600, -200 ], "parameters": { "options": { "waitForSubWorkflow": false }, "workflowId": { "__rl": true, "mode": "list", "value": "RLNAMdc1C9krPt7o", "cachedResultUrl": "/workflow/WHvXosyNwhLB6OOp", "cachedResultName": "" }, "workflowInputs": { "value": {}, "schema": [], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": true } } }, { "id": "", "name": "Execute Image Edit", "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.3, "position": [ 600, -100 ], "parameters": { "options": { "waitForSubWorkflow": false }, "workflowId": { "__rl": true, "mode": "list", "value": "yrdBxd3PxAosMSGg", "cachedResultUrl": "/workflow/UpcjQTagDBhV8ChU", "cachedResultName": "" }, "workflowInputs": { "value": {}, "schema": [], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": true } } }, { "id": "", "name": "Switch Department", "type": "n8n-nodes-base.switch", "typeVersion": 3.3, "position": [ 400, -100 ], "parameters": { "rules": { "values": [ { "outputKey": "copywriting", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.department }}", "rightValue": "copywriting" } ] }, "renameOutput": true }, { "outputKey": "image_gen", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.department }}", "rightValue": "image_gen" } ] }, "renameOutput": true }, { "outputKey": "image_edit", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.department }}", "rightValue": "image_edit" } ] }, "renameOutput": true }, { "outputKey": "research", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.department }}", "rightValue": "research" } ] }, "renameOutput": true }, { "outputKey": "longwriter", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "longwriter-case-001", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.department }}", "rightValue": "longwriter" } ] }, "renameOutput": true }, { "outputKey": "reels_ideas", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "reels-ideas-case-001", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $json.department }}", "rightValue": "reels_ideas" } ] }, "renameOutput": true } ] }, "options": {} } }, { "id": "", "name": "Execute Longwriter", "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.3, "position": [ 600, 0 ], "parameters": { "options": { "waitForSubWorkflow": false }, "workflowId": { "__rl": true, "mode": "list", "value": "UPFcgobNesc5H0do", "cachedResultUrl": "/workflow/7eCTCPZ2fFhMqhKd", "cachedResultName": "Secretary: Longwriter" }, "workflowInputs": { "value": {}, "schema": [], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": true } } }, { "id": "", "name": "Execute Reels Ideas", "type": "n8n-nodes-base.executeWorkflow", "typeVersion": 1.3, "position": [ 600, 100 ], "parameters": { "options": { "waitForSubWorkflow": false }, "workflowId": { "__rl": true, "mode": "list", "value": "oVbxXDb6knuvR9MJ", "cachedResultUrl": "/workflow/7eCTCPZ2fFhMqhKd", "cachedResultName": "Reels Collector Bot" }, "workflowInputs": { "value": {}, "schema": [], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": true } } }, { "id": "gen-options-001", "name": "Generate Options", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ -400, 200 ], "parameters": { "url": "https://api.openai.com/v1/chat/completions", "method": "POST", "options": { "timeout": 30000 }, "jsonBody": "={\n \"model\": \"gpt-4o\",\n \"messages\": [\n {\"role\": \"system\", \"content\": \"\u0422\u044b \u2014 \u043a\u0432\u0430\u043b\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 Boss (n8n \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0430\u0442\u043e\u0440 \u0438\u0437 Da Nang). \u041d\u0430 \u0432\u0445\u043e\u0434 \u2014 \u043d\u0435\u044f\u0441\u043d\u044b\u0439 \u0437\u0430\u043f\u0440\u043e\u0441. \u041f\u0440\u0435\u0434\u043b\u043e\u0436\u0438 \u0420\u041e\u0412\u041d\u041e 3 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u0430 \u0447\u0442\u043e Boss \u043c\u043e\u0433 \u0438\u043c\u0435\u0442\u044c \u0432 \u0432\u0438\u0434\u0443. \u041a\u0430\u0436\u0434\u044b\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 = \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u0430\u044f \u0437\u0430\u0434\u0430\u0447\u0430 \u0434\u043b\u044f department: copywriting (\u043a\u043e\u0440\u043e\u0442\u043a\u0438\u0439 \u043f\u043e\u0441\u0442 100-400 \u0441\u043b\u043e\u0432) | research (\u0440\u0438\u0441\u0451\u0440\u0447 \u0442\u0435\u043c\u044b) | longwriter (\u043b\u043e\u043d\u0433\u0440\u0438\u0434 1500-3500 \u0437\u043d\u0430\u043a\u043e\u0432) | image_gen (\u043a\u0430\u0440\u0442\u0438\u043d\u043a\u0430) | image_edit (\u0440\u0435\u0434\u0430\u043a\u0442 \u0444\u043e\u0442\u043e) | reels_ideas (\u0430\u043d\u0430\u043b\u0438\u0437 TikTok/YT/IG \u0441\u0441\u044b\u043b\u043a\u0438). \u0412\u0435\u0440\u043d\u0438 \u0421\u0422\u0420\u041e\u0413\u041e JSON \u0431\u0435\u0437 markdown: {\\\"options\\\":[{\\\"num\\\":1,\\\"emoji\\\":\\\"\ud83d\udcdd\\\",\\\"title\\\":\\\"\u043a\u043e\u0440\u043e\u0442\u043a\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0432 \u0438\u043c\u043f\u0435\u0440\u0430\u0442\u0438\u0432\u0435\\\",\\\"intent\\\":\\\"new_task\\\",\\\"department\\\":\\\"copywriting\\\",\\\"request\\\":\\\"\u043f\u043e\u043b\u043d\u0430\u044f \u0444\u0440\u0430\u0437\u0430 \u0434\u043b\u044f \u0430\u0433\u0435\u043d\u0442\u0430 department\\\"},...]}\"},\n {\"role\": \"user\", \"content\": {{ JSON.stringify($json.output.user_request) }}}\n ],\n \"response_format\": {\"type\": \"json_object\"},\n \"temperature\": 0.5\n}", "sendBody": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "nodeCredentialType": "openAiApi" }, "credentials": { "openAiApi": { "name": "" } }, "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 2000 }, { "id": "format-options-001", "name": "Format Options & Save", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -200, 200 ], "parameters": { "jsCode": "const raw = $json.choices[0].message.content;\nconst parsed = JSON.parse(raw);\nconst state = $getWorkflowStaticData('global');\nconst chatId = $('When Called by \u0416\u043e\u0440\u0430').first().json.original_data.chat_id;\n\nstate[`options_${chatId}`] = {\n options: parsed.options,\n expires: Date.now() + 300000\n};\n\nconst text = `\ud83e\udd14 \u0423\u0442\u043e\u0447\u043d\u0438 \u0447\u0442\u043e \u043d\u0443\u0436\u043d\u043e:\\n\\n${parsed.options.map(o => `${o.num}. ${o.emoji} ${o.title}`).join('\\n')}\\n\\n\u041e\u0442\u0432\u0435\u0442\u044c \u0446\u0438\u0444\u0440\u043e\u0439 (1\u20133) \u0438\u043b\u0438 \u043d\u0430\u043f\u0438\u0448\u0438 \u0437\u0430\u043d\u043e\u0432\u043e.`;\n\nreturn [{ json: { message: text, chat_id: chatId } }];" } } ], "connections": { "When Called by \u0416\u043e\u0440\u0430": { "main": [ [ { "node": "Switch by Intent", "type": "main", "index": 0 } ] ] }, "Switch by Intent": { "main": [ [ { "node": "Prepare New Task Data", "type": "main", "index": 0 } ], [ { "node": "Prepare Update Task Data", "type": "main", "index": 0 } ], [ { "node": "Generate Options", "type": "main", "index": 0 } ] ] }, "Prepare New Task Data": { "main": [ [ { "node": "Create Task in Supabase", "type": "main", "index": 0 } ] ] }, "Create Task in Supabase": { "main": [ [ { "node": "Merge All Routes", "type": "main", "index": 0 } ] ] }, "Prepare Update Task Data": { "main": [ [ { "node": "Update Task in Supabase", "type": "main", "index": 0 } ] ] }, "Update Task in Supabase": { "main": [ [ { "node": "Merge All Routes", "type": "main", "index": 1 } ] ] }, "Merge All Routes": { "main": [ [ { "node": "Prepare Success Message", "type": "main", "index": 0 } ] ] }, "Prepare Success Message": { "main": [ [ { "node": "Switch Department", "type": "main", "index": 0 }, { "node": "Send Confirmation", "type": "main", "index": 0 } ] ] }, "Switch Department": { "main": [ [ { "node": "Execute Copywriting", "type": "main", "index": 0 } ], [ { "node": "Execute Image Gen", "type": "main", "index": 0 } ], [ { "node": "Execute Image Edit", "type": "main", "index": 0 } ], [ { "node": "Execute Research", "type": "main", "index": 0 } ], [ { "node": "Execute Longwriter", "type": "main", "index": 0 } ], [ { "node": "Execute Reels Ideas", "type": "main", "index": 0 } ] ] }, "Generate Options": { "main": [ [ { "node": "Format Options & Save", "type": "main", "index": 0 } ] ] }, "Format Options & Save": { "main": [ [ { "node": "Send Clarification", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1", "timezone": "Asia/Ho_Chi_Minh", "errorWorkflow": "O6BjG1ublqWZ1KWk", "callerPolicy": "workflowsFromSameOwner", "availableInMCP": false }, "staticData": { "global": { "options_undefined": { "options": [ { "num": 1, "emoji": "\ud83d\udd0d", "title": "\u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432\u0430\u0448\u0438 TikTok \u0441\u0441\u044b\u043b\u043a\u0438", "intent": "analyze_links", "department": "reels_ideas", "request": "\u043f\u0440\u043e\u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u0443\u0439\u0442\u0435 \u0432\u0441\u0435 TikTok \u0441\u0441\u044b\u043b\u043a\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u043b, \u0438 \u0441\u043e\u0441\u0442\u0430\u0432\u044c\u0442\u0435 \u043f\u043e\u043b\u043d\u044b\u0439 \u0441\u043f\u0438\u0441\u043e\u043a \u0441 \u0434\u0430\u0442\u0430\u043c\u0438 \u0438 \u0430\u0432\u0442\u043e\u0440\u0430\u043c\u0438" }, { "num": 2, "emoji": "\ud83d\udcdd", "title": "\u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043f\u043e\u0441\u0442 \u043e \u0432\u0430\u0448\u0438\u0445 TikTok \u043f\u0440\u0435\u0434\u043f\u043e\u0447\u0442\u0435\u043d\u0438\u044f\u0445", "intent": "create_post", "department": "copywriting", "request": "\u043d\u0430\u043f\u0438\u0448\u0438\u0442\u0435 \u043a\u043e\u0440\u043e\u0442\u043a\u0438\u0439 \u043f\u043e\u0441\u0442 \u043e \u043f\u0440\u0435\u0434\u043f\u043e\u0447\u0442\u0435\u043d\u0438\u044f\u0445 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f \u0432 TikTok \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0441\u044b\u043b\u043e\u043a, \u0432\u043a\u043b\u044e\u0447\u0430\u044f \u0434\u0430\u0442\u044b \u0438 \u0430\u0432\u0442\u043e\u0440\u043e\u0432" }, { "num": 3, "emoji": "\ud83d\udcca", "title": "\u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u044c \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0435 TikTok \u0442\u0440\u0435\u043d\u0434\u044b", "intent": "research_trends", "department": "research", "request": "\u0438\u0441\u0441\u043b\u0435\u0434\u0443\u0439\u0442\u0435 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0435 \u0442\u0440\u0435\u043d\u0434\u044b \u0432 TikTok, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u043e\u0433\u043b\u0438 \u0431\u044b \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u0430\u043c \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0441\u044b\u043b\u043e\u043a" } ], "expires": 1776843865710 } } } }