{"workflow":{"id":13441,"name":"Build an OpenAI HR assistant for Telegram attendance and salary reports","views":86,"recentViews":1,"totalViews":86,"createdAt":"2026-02-16T17:34:14.895Z","description":"## What Problem Does It Solve?\n- HR managers waste hours manually logging attendance, calculating work hours, and tracking salary advances in spreadsheets.\n- Onboarding new staff often involves messy paperwork or scattered chat messages.\n- Salary calculations are prone to errors when manually tallying absence, overtime, and penalties.\n- This workflow solves these by:\n-- Allowing employees to check in/out and request loans via a simple Telegram chat.\n-- Automatically calculating work hours and applying penalties for early departure.\n-- Registering new employees through an interactive AI chat.\n-- Generating instant financial reports including net salary, deductions, and overtime.\n\n## How to Configure It\n- Google Sheets Setup\n-- Create a Google Sheet with two tabs: one for \"Employee Data\" (Columns: ID, Name, Role, Branch, Salary) and one for \"Logs\" (Attendance history).\n-- Connect your Google Sheets OAuth2 credentials in n8n and select this sheet in all related nodes.\n- Telegram Setup\n-- Create a new bot via BotFather and connect your Telegram credentials.\n-- (Optional) Set the \"Admin Chat ID\" in the Daily Report node to receive absentee lists.\n- AI Setup\n-- Add your OpenAI API key (used for intent classification and conversational agents).\n-- The included prompts are currently in Egyptian Arabic โ€” you can translate them to English or your local language in the \"System Message\" of the Agent nodes.\n- Timezone\n-- Adjust the timezone in the \"Context\" section of the AI Agent nodes to match your company's location (currently set to Africa/Cairo).\n\n## How It Works\n- Telegram Trigger catches every message sent to the HR Bot.\n- AI Classifier analyzes the text to determine intent:\n-- New Employee: Triggers a conversation to collect Name, ID, Salary, and Branch -> Validates data -> Adds to \"Employee Data\" sheet.\n-- Attendance (Check-in): Logs the timestamp immediately.\n-- Departure (Check-out): Looks up arrival time, calculates total hours worked. If under 8 hours, it flags \"Early Departure\" and logs it with a penalty note.\n-- Financial Request: Logs salary advances (loans) directly to the sheet.\n-- Report Request: An AI Analyst calculates net salary (Basic + Overtime - Absence - Advances) and replies with a detailed breakdown.\n- Daily Schedule:\n-- Every day at 1:00 PM, the workflow compares today's attendance logs against the full employee list.\n-- It generates a list of absentees and sends a summary report to the HR Manager.\n\n## Customization Ideas\n- Change the Logic: Edit the JavaScript node to change the \"8-hour work day\" rule to match your company policy.\n- Multi-Platform: Swap the Telegram Trigger for WhatsApp or Slack to match your team's communication tool.\n- PDF Payslips: Add a node to generate a PDF payslip based on the AI's financial report and email it to the employee.\n- Face Recognition: Integrate an image analysis node if you want employees to send a selfie for attendance verification.\n- For more info [Contact Me](https://www.linkedin.com/in/khaledyasser01/)","workflow":{"id":"template-id","meta":{"instanceId":"template-instance-id"},"name":"Manage employee onboarding and attendance using Telegram and OpenAI","tags":[],"nodes":[{"id":"bd1","name":"Main_Overview","type":"n8n-nodes-base.stickyNote","position":[-2600,800],"parameters":{"color":1,"width":386,"height":516,"content":"### ๐Ÿค– HR Automated System\n\n#### How it works\n1. **Input:** Receives Telegram messages from employees.\n2. **AI Analysis:** Classifies intent (Attendance, Report, or Registration) using OpenAI.\n3. **Execution:** \n - Logs Check-in/out & calculates penalties for early departure.\n - Registers new employees via chat conversation.\n - Generates salary reports based on attendance history.\n4. **Automation:** Runs a daily scheduled job to report absentees.\n\n#### Setup steps\n1. **Credentials:** Connect your Telegram Bot, OpenAI, and Google Sheets accounts.\n2. **Google Sheet:** Create a sheet with columns: `[Name, ID, Role, Branch, Salary]` and a second tab for `Logs`.\n3. **IDs:** Replace `[YOUR_SPREADSHEET_ID]` in all Sheet nodes.\n4. **Timezone:** Adjust the `Context` in the AI Agent nodes to your local timezone."},"typeVersion":1},{"id":"bd2","name":"Section_Input","type":"n8n-nodes-base.stickyNote","position":[-2160,1040],"parameters":{"color":7,"width":1900,"height":560,"content":"## 1. Input & Intent Classification\nReceives messages, maintains chat history, and uses AI to determine if the user is a new employee, recording a transaction, or asking for a report."},"typeVersion":1},{"id":"bd3","name":"Section_Onboarding","type":"n8n-nodes-base.stickyNote","position":[100,-120],"parameters":{"color":7,"width":2100,"height":700,"content":"## 2. New Employee Onboarding\nHandles the conversational flow to register new staff. Collects Name, ID, Salary, etc., validates the JSON data, and saves to the database."},"typeVersion":1},{"id":"bd4","name":"Section_Transactions","type":"n8n-nodes-base.stickyNote","position":[400,640],"parameters":{"color":7,"width":1700,"height":950,"content":"## 3. Transaction Logic\nHandles existing employees. Logs Attendance, calculates 'Early Departure' penalties based on work hours, and records Salary Advances."},"typeVersion":1},{"id":"bd5","name":"Section_Reports","type":"n8n-nodes-base.stickyNote","position":[900,1720],"parameters":{"color":7,"width":1200,"height":450,"content":"## 4. Financial Reporting\nFetches employee salary and movement history to calculate net pay (deducting absence/penalties and adding overtime)."},"typeVersion":1},{"id":"bd6","name":"Section_Daily","type":"n8n-nodes-base.stickyNote","position":[-2160,1680],"parameters":{"color":7,"width":2000,"height":450,"content":"## 5. Daily Scheduled Jobs\nRuns automatically (e.g., at 1:00 PM) to compare today's logs against the full employee list and report who is absent."},"typeVersion":1},{"id":"e91f272e-19ae-4903-bc5f-8b012419d324","name":"Telegram_Trigger","type":"n8n-nodes-base.telegramTrigger","position":[-2112,1136],"webhookId":"placeholder-webhook-id","parameters":{"updates":["message"],"additionalFields":{}},"typeVersion":1.2},{"id":"9d8e575c-f625-42c9-a16c-aa53e355cbf5","name":"Memory_Chat","type":"@n8n/n8n-nodes-langchain.memoryBufferWindow","position":[-992,1424],"parameters":{"sessionKey":"chat_history","sessionIdType":"customKey"},"typeVersion":1.3},{"id":"343f675f-58ab-409e-b0f6-b965b80c308d","name":"Msg_Attendance_Success","type":"n8n-nodes-base.telegram","position":[1968,1488],"webhookId":"placeholder-webhook-id","parameters":{"text":"=โ˜€๏ธ Good morning, \n{{ $json['ุงุณู… ุงู„ู…ูˆุธู'] }} \n\nโœ… Your attendance has been successfully recorded!\nโฐ Arrival Time: \n{{ $json['ุงู„ุชุงุฑูŠุฎ ูˆุงู„ูˆู‚ุช'] }}\n\nWishing you a productive and successful workday! ๐Ÿ’ช๐Ÿš€","chatId":"={{ $('Telegram_Trigger').item.json.message.chat.id }}","additionalFields":{"appendAttribution":false}},"typeVersion":1.2},{"id":"c1c37e47-d9b8-4358-92c5-d62e194fb9c3","name":"Parse_AI_Response","type":"n8n-nodes-base.code","position":[-624,1200],"parameters":{"mode":"runOnceForEachItem","jsCode":"// 1. Safely receive text (whether named output or text)\nconst aiResponse = $json.output || $json.text;\n\n// 2. Safety check: If no data, stop and output a clear error message\nif (!aiResponse) {\n throw new Error(\"Alert: No response received from AI (variable is empty).\");\n}\n\n// 3. Clean text from Markdown tags (```json)\nconst cleanJson = aiResponse.replace(/```json/g, '').replace(/```/g, '').trim();\n\n// 4. Convert text to JSON object and return\nreturn JSON.parse(cleanJson);"},"typeVersion":2},{"id":"05d87ded-fb5b-499e-95fe-43e0f013a877","name":"Lookup_Employee","type":"n8n-nodes-base.googleSheets","position":[-80,1120],"parameters":{"options":{},"filtersUI":{"values":[{"lookupValue":"={{ $json.identifier }}","lookupColumn":"ูƒูˆุฏ ุงู„ู…ูˆุธู"},{"lookupValue":"={{ $json.identifier }}","lookupColumn":"ุงุณู… ุงู„ู…ูˆุธู"}]},"sheetName":{"__rl":true,"mode":"list","value":"gid=0","cachedResultUrl":"[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]/edit#gid=0","cachedResultName":"data"},"documentId":{"__rl":true,"mode":"list","value":"[YOUR_SPREADSHEET_ID]","cachedResultUrl":"[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]","cachedResultName":"[YOUR_SHEET_NAME]"},"combineFilters":"OR"},"typeVersion":4.7,"alwaysOutputData":true},{"id":"8905ab06-d258-404c-b9d3-ee60ef5a29ce","name":"Log_Transaction","type":"n8n-nodes-base.googleSheets","position":[1440,1488],"parameters":{"columns":{"value":{"ุงู„ู‚ูŠู…ู‡":"={{ $('Parse_AI_Response').item.json.value }}","ู…ู„ุงุญุงุธุงุช":"={{ $('Parse_AI_Response').item.json.notes }}","ุงุณู… ุงู„ู…ูˆุธู":"={{ $('Lookup_Employee').item.json['ุงุณู… ุงู„ู…ูˆุธู'] }}","ูƒูˆุฏ ุงู„ู…ูˆุธู":"={{ $json['ูƒูˆุฏ ุงู„ู…ูˆุธู'] }}","ู†ูˆุน ุงู„ุญุฑูƒู‡":"={{ $('Parse_AI_Response').item.json.action }}","ุงู„ุชุงุฑูŠุฎ ูˆุงู„ูˆู‚ุช":"={{ $('Parse_AI_Response').item.json.timestamp }}"},"schema":[{"id":"ุงู„ุชุงุฑูŠุฎ ูˆุงู„ูˆู‚ุช","type":"string","display":true,"required":false,"displayName":"ุงู„ุชุงุฑูŠุฎ ูˆุงู„ูˆู‚ุช","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ูƒูˆุฏ ุงู„ู…ูˆุธู","type":"string","display":true,"required":false,"displayName":"ูƒูˆุฏ ุงู„ู…ูˆุธู","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ุงุณู… ุงู„ู…ูˆุธู","type":"string","display":true,"required":false,"displayName":"ุงุณู… ุงู„ู…ูˆุธู","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ู†ูˆุน ุงู„ุญุฑูƒู‡","type":"string","display":true,"required":false,"displayName":"ู†ูˆุน ุงู„ุญุฑูƒู‡","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ุงู„ู‚ูŠู…ู‡","type":"string","display":true,"required":false,"displayName":"ุงู„ู‚ูŠู…ู‡","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ู…ู„ุงุญุงุธุงุช","type":"string","display":true,"required":false,"displayName":"ู…ู„ุงุญุงุธุงุช","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"list","value":"[YOUR_LOGS_SHEET_GID]","cachedResultUrl":"[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]/edit#gid=[YOUR_LOGS_SHEET_GID]","cachedResultName":"ุณุฌู„ ุงู„ุญุฑูƒุงุช"},"documentId":{"__rl":true,"mode":"list","value":"[YOUR_SPREADSHEET_ID]","cachedResultUrl":"[https://docs.google.com/spreadsheets/d/](https://docs.google.com/spreadsheets/d/)[YOUR_SPREADSHEET_ID]","cachedResultName":"[YOUR_SHEET_NAME]"}},"typeVersion":4.7},{"id":"922eae56-0829-4191-9998-6887c5c85a85","name":"Check_Employee_Found","type":"n8n-nodes-base.if","position":[144,1120],"parameters":{"options":{},"conditions":{"options":{"version":3,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"6d680a3d-c8ba-40b7-913e-02962e7fb6dd","operator":{"type":"number","operation":"notEmpty","singleValue":true},"leftValue":"={{ $json['ูƒูˆุฏ ุงู„ู…ูˆุธู'] }}","rightValue":0}]}},"typeVersion":2.3},{"id":"c15a466a-1e19-427a-9e66-013a45a139de","name":"Msg_Employee_Not_Found","type":"n8n-nodes-base.telegram","position":[320,1200],"webhookId":"placeholder-webhook-id","parameters":{"text":"=Sorry, this code ({{ $('Route_Intent').item.json.identifier }}) is not registered in our system! ๐Ÿค”\n\nIf this is a new employee, reply with \"Yes\" to add them.\nIf there's a mistake, please double-check the code and try again.\n\nFor assistance, contact KHALED YASSER ๐Ÿ“ž","chatId":"={{ $('Telegram_Trigger').item.json.message.chat.id }}","additionalFields":{"appendAttribution":false}},"typeVersion":1.2},{"id":"1007f64f-4269-4558-9cee-a7cf6d57050c","name":"Route_Intent","type":"n8n-nodes-base.switch","onError":"continueRegularOutput","position":[-400,1200],"parameters":{"rules":{"values":[{"conditions":{"options":{"version":3,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"cd801203-7ecb-44fd-b60d-ff5f076e609e","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.intent }}","rightValue":"record"}]}},{"conditions":{"options":{"version":3,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"295bdf3d-531b-46c9-9592-bca673a1d0a4","operator":{"type":"string","operation":"equals"},"leftValue":"={{ $json.intent }}","rightValue":"report"}]}}]},"options":{}},"typeVersion":3.4},{"id":"cd13e552-f0bb-4097-96c6-431cefc5f086","name":"Memory_Analyst","type":"@n8n/n8n-nodes-langchain.memoryBufferWindow","position":[1696,2080],"parameters":{"sessionKey":"chat_history","sessionIdType":"customKey"},"typeVersion":1.3},{"id":"bcc064a5-7e14-40cb-8948-1a03785c1c53","name":"Msg_Analysis_Report","type":"n8n-nodes-base.telegram","position":[1984,1808],"webhookId":"placeholder-webhook-id","parameters":{"text":"={{ $json.output }}","chatId":"={{ $('Telegram_Trigger').item.json.message.chat.id }}","additionalFields":{"parse_mode":"HTML","appendAttribution":false}},"executeOnce":true,"typeVersion":1.2},{"id":"930fd357-49f1-49f4-b70a-d46360b31b95","name":"Agent_Classifier","type":"@n8n/n8n-nodes-langchain.agent","onError":"continueRegularOutput","position":[-1120,1184],"parameters":{"text":"={{ $json.message.text }}","options":{"systemMessage":"==# Role: HR Data Extractor & Router\n# Objective: Analyze the user's message to determine the intent (Recording Transaction OR Requesting Report) and extract relevant data strictly as JSON.\n\n# Context:\nThe exact current date and time in Africa/Cairo is: ={{ $now.setZone('Africa/Cairo').toFormat('yyyy-MM-dd hh:mm:ss a') }}\n\n# Instructions:\nAnalyze the user's message (English or Arabic) and output a JSON object with these exact fields:\n\n1. \"intent\": Determine the user's goal. MUST be one of:\n - \"record\": If user wants to log attendance, absence, money, etc. (e.g., \"ุญุถูˆุฑ 1001\", \"Advance 500\").\n - \"report\": If user asks for info or summary (e.g., \"Report for Fatima\", \"How many days was Mohamed absent?\").\n\n2. \"action\": \n - If intent is \"record\": Extract the action type EXACTLY as one of these Arabic terms to match the database: (ุญุถูˆุฑ, ุงู†ุตุฑุงู, ุบูŠุงุจ, ู†ุต ูŠูˆู…, ุณู„ู, ุงุถุงููŠ, ุงุฌุงุฒู‡).\n - If intent is \"report\": Output \"report\".\n\n3. \"identifier\": The Employee ID or Name mentioned.\n4. \"value\": Amount or hours (if applicable), otherwise null.\n5. \"notes\": Any extra details.\n6. \"timestamp\": Current time from Context.\n\n# Output Format:\nYou MUST output ONLY a valid JSON object. Do NOT wrap in markdown blocks.\n\n# Example 1 (Recording):\nUser: \"Clock-in 1001\"\nOutput: { \"intent\": \"record\", \"action\": \"ุญุถูˆุฑ\", \"identifier\": \"1001\", \"value\": null, \"notes\": \"\", \"timestamp\": \"...\" }\n\n# Example 2 (Reporting):\nUser: \"Report for Fatima Rouge\"\nOutput: { \"intent\": \"report\", \"action\": \"report\", \"identifier\": \"Fatima Rouge\", \"value\": null, \"notes\": \"\", \"timestamp\": \"...\" }"},"promptType":"define"},"typeVersion":3.1},{"id":"51a67c9b-73e9-44ac-9c77-bdbf56ee9aff","name":"Agent_Financial","type":"@n8n/n8n-nodes-langchain.agent","onError":"continueRegularOutput","position":[1552,1808],"parameters":{"text":"=Employee Basic Salary: {{ $('Fetch_Salary').item.json['ุงู„ุฑุงุชุจ ุงู„ุงุณุงุณูŠ'] }}\nMovements Log: {{ JSON.stringify($input.all().map(item => item.json)) }}","options":{"systemMessage":"=Role: Professional HR Financial Analyst (XQ Pharma)\nObjective: Calculate the Net Salary strictly following the company's rules.\n\n# Input Data:\n1. Basic Salary.\n2. Movement Logs (Absence, Overtime, Advances, Departures, etc.).\n\n# Financial Rules (As per company policy):\n- Day Value = (Basic Salary / 30).\n- \"ุบูŠุงุจ\" (Absence): Deduct 1 full Day Value (-1.0).\n- \"ุงุถุงููŠ\" (Overtime): Add 1 full Day Value (+1.0).\n- \"ุณู„ู\" (Advances): Deduct the exact amount provided in the \"value\" field.\n- \"ุงู†ุตุฑุงู\" (Departure): If marked as \"Early Departure\" or \"Penalty\", deduct 0.25 of a Day Value.\n- \"ุงุฌุงุฒู‡\" (Leaves): No deduction (Sick, Annual, Official holidays are paid).\n\n# Calculation Logic:\n- Calculate Total Deductions (Absence + Advances + Early Departure Penalties).\n- Calculate Total Additions (Overtime).\n- Net Salary = Basic Salary + Additions - Deductions.\n\n# Final Report (English):\nFinancial Report for Employee: [Name] (ID: [ID])\n--------------------------------------------------\n๐Ÿ’ฐ Basic Salary: [Salary] EGP\n๐Ÿ“Š Day Value: [Day Value] EGP\n\n๐Ÿ”ป Deductions:\n- Absence ([X] days): -[Value] EGP\n- Advances: -[Value] EGP\n- Early Departure Penalties: -[Value] EGP\n\nโœ… Additions & Dues:\n- Overtime ([X] days): +[Value] EGP\n\n๐Ÿ’ต Net Salary Due: [Net Salary] EGP\n--------------------------------------------------\nBest regards,\nKHALED YASSER"},"promptType":"define"},"retryOnFail":true,"typeVersion":3.1},{"id":"28d59d05-42ae-4325-aa42-edfda12a4da3","name":"Msg_Ask_New_Emp_Data","type":"n8n-nodes-base.telegram","position":[208,-64],"webhookId":"placeholder-webhook-id","parameters":{"text":"=๐ŸŽ‰ Welcome to the XQ Pharma team! ๐Ÿค\n\nTo successfully register your details in the company's system, please send the following information in a single line, separated by dashes (-):\n\n(Code - Name - Position - Branch - Salary) ๐Ÿ“\n\n๐Ÿ’ก Example:\n1005 - Mohamed Ahmed - Sales - Maadi - 6000\n\nAwaiting your details so we can get started! ๐Ÿš€โœจ","chatId":"={{ $('Telegram_Trigger').item.json.message.chat.id }}","additionalFields":{"appendAttribution":false}},"typeVersion":1.2},{"id":"83bce609-761a-46e0-9d87-dd17fdec2e1e","name":"Memory_Onboarding","type":"@n8n/n8n-nodes-langchain.memoryBufferWindow","position":[992,528],"parameters":{"sessionKey":"chat_history","sessionIdType":"customKey"},"typeVersion":1.3},{"id":"7d49dd78-9d34-40cb-b865-dab0bb81e9bf","name":"Agent_Onboarding","type":"@n8n/n8n-nodes-langchain.agent","position":[928,288],"parameters":{"text":"={{ $('Telegram_Trigger').item.json.message.text }}","options":{"systemMessage":"Role: Professional HR Assistant\nObjective: Capture new employee details and register them.\n\nCRITICAL LOGIC:\n\nIf the user says \"Yes\" without providing details:\n\nDO NOT use the registration tool/node.\n\nDO NOT output any JSON or structured data.\n\nReply ONLY with the \"Mandatory Response Format\" below.\n\nIf and only if the message contains real data (like a name and a code):\n\nExtract the data and proceed to register the employee using the tool.\n\nMandatory Response Format for \"Yes\" or missing data:\n\"Great! To register the employee, please send the following details in a single message in this order: (Employee Code - Name - Position - Branch - Salary)\"\n\nMandatory Closing:\nBest regards,\nKHALED YASSER"},"promptType":"define","hasOutputParser":true},"typeVersion":3.1},{"id":"08e69c55-7eca-445e-9cc5-b48d926930cb","name":"Validate_New_Emp_JSON","type":"n8n-nodes-base.code","position":[1280,288],"parameters":{"jsCode":"// 1. Receive output from the Agent\nconst rawOutput = $input.all()[0].json.output;\n\ntry {\n // 2. Search for JSON (employee data) inside the text\n const jsonMatch = rawOutput.match(/\\{[\\s\\S]*\\}/);\n\n if (jsonMatch) {\n // If data is found, parse it and pass it through\n const cleanJson = JSON.parse(jsonMatch[0]);\n return [{ json: { ...cleanJson, is_valid: true } }];\n } else {\n // If it's a regular message, send false to close the route smoothly\n return [{ json: { is_valid: false } }];\n }\n} catch (e) {\n // In case of any error, close the route without stopping the workflow\n return [{ json: { is_valid: false } }];\n}"},"typeVersion":2},{"id":"4ebe2121-1ad1-47bd-b187-c625871218ea","name":"Register_New_Emp","type":"n8n-nodes-base.googleSheets","position":[1744,288],"parameters":{"columns":{"value":{"ุงู„ูุฑุน":"={{ $json.branch }}","ุงู„ูˆุธูŠูู‡":"={{ $json.position }}","ุงุณู… ุงู„ู…ูˆุธู":"={{ $json.name }}","ูƒูˆุฏ ุงู„ู…ูˆุธู":"={{ $json.code }}","ุงู„ุฑุงุชุจ ุงู„ุงุณุงุณูŠ":"={{ $json.salary }}"},"schema":[{"id":"ู…","type":"string","display":true,"required":false,"displayName":"ู…","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ูƒูˆุฏ ุงู„ู…ูˆุธู","type":"string","display":true,"required":false,"displayName":"ูƒูˆุฏ ุงู„ู…ูˆุธู","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ุงุณู… ุงู„ู…ูˆุธู","type":"string","display":true,"required":false,"displayName":"ุงุณู… ุงู„ู…ูˆุธู","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ุงู„ูˆุธูŠูู‡","type":"string","display":true,"required":false,"displayName":"ุงู„ูˆุธูŠูู‡","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ุงู„ูุฑุน","type":"string","display":true,"required":false,"displayName":"ุงู„ูุฑุน","defaultMatch":false,"canBeUsedToMatch":true},{"id":"ุงู„ุฑุงุชุจ ุงู„ุงุณุงุณูŠ","type":"string","display":true,"required":false,"displayName":"ุงู„ุฑุงุชุจ 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