Automatisation Telegram avec n8n : gestion de chat AI en temps réel
Ce workflow n8n a pour objectif de faciliter la gestion des interactions sur Telegram grâce à un bot intelligent. Dans un contexte où les entreprises cherchent à améliorer leur communication avec les clients, ce type d'automatisation permet de répondre rapidement aux demandes tout en offrant une expérience utilisateur enrichie. Les cas d'usage incluent la gestion des requêtes clients, l'envoi de réponses automatiques et la collecte de données via des formulaires intégrés.
- Étape 1 : le workflow est déclenché par un événement sur Telegram grâce au noeud 'telegramInput', qui capte les messages entrants.
- Étape 2 : le bot envoie un message de saisie avec le noeud 'SendTyping', indiquant à l'utilisateur que sa demande est en cours de traitement.
- Étape 3 : les données sont ensuite traitées par le noeud 'ScheduleBot', qui utilise des modèles de langage pour générer des réponses adaptées.
- Étape 4 : les réponses sont envoyées via le noeud 'telegramResponse', permettant une interaction fluide. Ce workflow offre des bénéfices significatifs pour les entreprises, notamment une réduction du temps de réponse, une amélioration de l'engagement client et une automatisation des tâches répétitives, permettant ainsi aux équipes de se concentrer sur des missions à plus forte valeur ajoutée.
Workflow n8n Telegram, chatbot, communication : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Telegram, chatbot, communication : détail des nœuds
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"id": "bV0JTA5NtRZxiD1q",
"meta": {
"instanceId": "98bf0d6aef1dd8b7a752798121440fb171bf7686b95727fd617f43452393daa3",
"templateCredsSetupCompleted": true
},
"name": "Telegram-bot AI Da Nang",
"tags": [],
"nodes": [
{
"id": "ae5f9ca6-6bba-4fe8-b955-6c615d8a522f",
"name": "SendTyping",
"type": "n8n-nodes-base.telegram",
"position": [
-1780,
-260
],
"webhookId": "26ea953e-93d9-463e-ad90-95ea8ccb449f",
"parameters": {
"chatId": "={{ $('telegramInput').item.json.message.chat.id }}",
"operation": "sendChatAction"
},
"credentials": {
"telegramApi": {
"id": "V3EtQBeqEvnOtl9p",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "244e7be3-2caa-46f7-8628-d063a3b84c12",
"name": "SetResponse",
"type": "n8n-nodes-base.set",
"notes": "Assemble response etc.",
"position": [
40,
-420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "fba8dc48-1484-4aae-8922-06fcae398f05",
"name": "responseMessage",
"type": "string",
"value": "={{ $json.output }}"
},
{
"id": "df8243e6-6a24-4bad-8807-63d75c828150",
"name": "",
"type": "string",
"value": ""
}
]
},
"includeOtherFields": true
},
"notesInFlow": true,
"typeVersion": 3.4
},
{
"id": "192aa194-f131-4ba3-8842-7c88da1a6129",
"name": "Settings",
"type": "n8n-nodes-base.set",
"position": [
-1260,
-420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "6714203d-04b3-4a3c-9183-09cddcffdfe8",
"name": "scheduleURL",
"type": "string",
"value": "https://docs.google.com/spreadsheets/d/1BJFS9feEy94_WgIgzWZttBwzjp09siOw1xuUgq4yuI4"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "1c52cdf5-da32-4c76-a294-5ec2109dbf39",
"name": "Schedule",
"type": "n8n-nodes-base.googleSheets",
"position": [
-980,
-420
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1BJFS9feEy94_WgIgzWZttBwzjp09siOw1xuUgq4yuI4/edit#gid=0",
"cachedResultName": "Schedule"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "={{ $json.scheduleURL }}"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "XeXufn5uZvHp3lcX",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.5
},
{
"id": "eff88417-4ce6-4809-8693-dc63e00fff20",
"name": "ScheduleToMarkdown",
"type": "n8n-nodes-base.code",
"position": [
-800,
-420
],
"parameters": {
"jsCode": "// Get all rows from the input (each item has a \"json\" property)\nconst rows = items.map(item => item.json);\n\n// If no data, return an appropriate message\nif (rows.length === 0) {\n return [{ json: { markdown: \"No data available.\" } }];\n}\n\n// Use the keys from the first row as the header columns\nconst headers = Object.keys(rows[0]);\n\n// Build the markdown table string\nlet markdown = \"\";\n\n// Create the header row\nmarkdown += `| ${headers.join(\" | \")} |\\n`;\n\n// Create the separator row (using dashes for markdown)\nmarkdown += `| ${headers.map(() => '---').join(\" | \")} |\\n`;\n\n// Add each data row to the table\nrows.forEach(row => {\n // Ensure we output something for missing values\n const rowValues = headers.map(header => row[header] !== undefined ? row[header] : '');\n markdown += `| ${rowValues.join(\" | \")} |\\n`;\n});\n\nconst result = { 'binary': {}, 'json': {} };\n\n// Convert the markdown string to a binary buffer\nconst binaryData = Buffer.from(markdown, 'utf8');\n/*\n// Attach the binary data to the first item under a binary property named 'data'\nresult.binary = {\n data: {\n data: binaryData,\n mimeType: 'text/markdown',\n }\n};\n*/\n// Optionally, also return the markdown string in the json property if needed\nresult.json.markdown = markdown;\n\nreturn result;"
},
"typeVersion": 2
},
{
"id": "04fab70c-493a-4c5d-adfb-0d9e8a5b7382",
"name": "ScheduleBot",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-480,
-420
],
"parameters": {
"text": "={{ $('Settings').first().json.inputMessage }}",
"options": {
"systemMessage": "=You are a helpful assistant that helps members of a meetup group with scheduling their meetups and answering questions about them.\n\nThe current version of the schedule in tabular format is the following:\n\n {{ $json.markdown }}\n\n"
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "be29d3ec-8211-4f23-82f2-83a1aa3aad5b",
"name": "n8nChatSettings",
"type": "n8n-nodes-base.set",
"position": [
-1580,
-520
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1ecb3515-c1a2-4d69-adec-5b4d74e32056",
"name": "inputMessage",
"type": "string",
"value": "={{ $json.chatInput }}"
},
{
"id": "424b9697-94cb-4c38-953c-992436832684",
"name": "chatId",
"type": "string",
"value": "={{ $json.sessionId }}"
},
{
"id": "e23988e2-7c3d-4e38-9d5d-0c4b0c94d127",
"name": "mode",
"type": "string",
"value": "n8n"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b7078c59-b6e6-4002-831f-96e56278ab61",
"name": "telegramChatSettings",
"type": "n8n-nodes-base.set",
"position": [
-1580,
-260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "1ecb3515-c1a2-4d69-adec-5b4d74e32056",
"name": "inputMessage",
"type": "string",
"value": "={{ $('telegramInput').item.json.message.text }}"
},
{
"id": "424b9697-94cb-4c38-953c-992436832684",
"name": "chatId",
"type": "string",
"value": "={{ $('telegramInput').item.json.message.chat.id }}"
},
{
"id": "e23988e2-7c3d-4e38-9d5d-0c4b0c94d127",
"name": "mode",
"type": "string",
"value": "telegram"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1ba6ad37-f1e5-440d-bf10-569038c27bce",
"name": "telegramInput",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-1960,
-260
],
"webhookId": "f56e8e22-975e-4f9a-a6f9-253ebc63668d",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "V3EtQBeqEvnOtl9p",
"name": "Telegram account"
}
},
"typeVersion": 1.1
},
{
"id": "56a52e8a-714f-4e7a-8a13-e915e9dc29c4",
"name": "n8nInput",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-1960,
-520
],
"webhookId": "f4ab7d4a-5cdd-425a-bbbb-e3bb94719266",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "961f67f0-bd44-4e7f-9f2f-c2f02f3176ce",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
220,
-420
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "n8n mode",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Settings').first().json.mode }}",
"rightValue": "n8n"
}
]
},
"renameOutput": true
},
{
"outputKey": "telegram mode",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "e7d6a994-48e3-44bb-b662-862d9bf9c53b",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Settings').first().json.mode }}",
"rightValue": "telegram"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "57056425-37ba-417d-9a2d-977a81d378ab",
"name": "telegramResponse",
"type": "n8n-nodes-base.telegram",
"position": [
500,
-280
],
"webhookId": "ff71ba7e-affa-4952-90a5-6bb7f37a5598",
"parameters": {
"text": "={{ $json.responseMessage }}",
"chatId": "={{ $('Settings').first().json.chatId }}",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "V3EtQBeqEvnOtl9p",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "2962a77f-5727-43be-93fb-b0751b63c6ac",
"name": "n8nResponse",
"type": "n8n-nodes-base.noOp",
"position": [
500,
-520
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0932484f-707b-412b-b9cb-431a8ae64447",
"name": "LLM",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
-600,
-220
],
"parameters": {
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "bs7tPtvgDTJNGAFJ",
"name": "OpenRouter account"
}
},
"typeVersion": 1
},
{
"id": "65948d2c-71b2-4df0-97db-ed216ed7c691",
"name": "Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-500,
-220
],
"parameters": {
"sessionKey": "={{ $('Settings').first().json.chatId }}",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "50566274-cf7c-496f-a166-b45eb3114da3",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2000,
-600
],
"parameters": {
"color": 2,
"width": 620,
"height": 240,
"content": "## Chat input triggered inside n8n\nUsed for testing and debugging"
},
"typeVersion": 1
},
{
"id": "9dc636fb-cc86-4236-8eb9-952a4ab0ef68",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2000,
-340
],
"parameters": {
"color": 2,
"width": 620,
"height": 240,
"content": "## Chat input triggered by Telegram\nUsed for live chat within Telegram"
},
"typeVersion": 1
},
{
"id": "0429d589-3e80-4b26-96a0-01554899a3e7",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
420,
-340
],
"parameters": {
"color": 5,
"width": 360,
"height": 240,
"content": "## Chat response to Telegram"
},
"typeVersion": 1
},
{
"id": "9eeccee0-c6a0-40c6-9b7d-1f672bf0fdb9",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
420,
-600
],
"parameters": {
"color": 5,
"width": 360,
"height": 240,
"content": "## Chat response inside n8n"
},
"typeVersion": 1
},
{
"id": "acb8e550-be94-41b7-904a-641b3b87e928",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
-600
],
"parameters": {
"color": 7,
"width": 440,
"height": 500,
"content": "## Prepare response\nDecide to which chat the response will go."
},
"typeVersion": 1
},
{
"id": "42ce6eac-165b-463d-822e-355aff030525",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-620,
-600
],
"parameters": {
"color": 3,
"width": 560,
"height": 500,
"content": "## AI Processing\nChat input → Chat output"
},
"typeVersion": 1
},
{
"id": "33c45fcc-3aa5-4cd3-b393-e1723560dfeb",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1040,
-600
],
"parameters": {
"color": 4,
"width": 400,
"height": 500,
"content": "## Retrieve Data\nGet schedule from Google Spreadsheet and convert it to a Markdown-Table as context for the LLM"
},
"typeVersion": 1
},
{
"id": "6e1017e3-bf9d-4056-a64f-c94476bd1f43",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1360,
-600
],
"parameters": {
"color": 7,
"width": 300,
"height": 500,
"content": "## Normalize input\nTransfer the chat data into a unified set of variables"
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "9078c996-e932-40c0-882e-1eb261ca1535",
"connections": {
"LLM": {
"ai_languageModel": [
[
{
"node": "ScheduleBot",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Memory": {
"ai_memory": [
[
{
"node": "ScheduleBot",
"type": "ai_memory",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "n8nResponse",
"type": "main",
"index": 0
}
],
[
{
"node": "telegramResponse",
"type": "main",
"index": 0
}
]
]
},
"Schedule": {
"main": [
[
{
"node": "ScheduleToMarkdown",
"type": "main",
"index": 0
}
]
]
},
"Settings": {
"main": [
[
{
"node": "Schedule",
"type": "main",
"index": 0
}
]
]
},
"n8nInput": {
"main": [
[
{
"node": "n8nChatSettings",
"type": "main",
"index": 0
}
]
]
},
"SendTyping": {
"main": [
[
{
"node": "telegramChatSettings",
"type": "main",
"index": 0
}
]
]
},
"ScheduleBot": {
"main": [
[
{
"node": "SetResponse",
"type": "main",
"index": 0
}
]
]
},
"SetResponse": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"telegramInput": {
"main": [
[
{
"node": "SendTyping",
"type": "main",
"index": 0
}
]
]
},
"n8nChatSettings": {
"main": [
[
{
"node": "Settings",
"type": "main",
"index": 0
}
]
]
},
"telegramResponse": {
"main": [
[]
]
},
"ScheduleToMarkdown": {
"main": [
[
{
"node": "ScheduleBot",
"type": "main",
"index": 0
}
]
]
},
"telegramChatSettings": {
"main": [
[
{
"node": "Settings",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Telegram, chatbot, communication : pour qui est ce workflow ?
Ce workflow s'adresse aux entreprises de toutes tailles souhaitant optimiser leur communication sur Telegram. Il est particulièrement utile pour les équipes de support client, les marketeurs et les développeurs cherchant à intégrer des solutions d'automatisation sans code. Un niveau technique moyen est recommandé pour la personnalisation.
Workflow n8n Telegram, chatbot, communication : problème résolu
Ce workflow résout le problème de la lenteur dans les réponses aux clients sur Telegram, une frustration courante qui peut nuire à l'expérience utilisateur. En automatisant les réponses, les entreprises réduisent le temps d'attente et améliorent la satisfaction client. De plus, il minimise le risque d'erreurs humaines dans la gestion des requêtes, garantissant des réponses cohérentes et précises. En fin de compte, les utilisateurs bénéficient d'une interaction plus rapide et efficace avec le service client.
Workflow n8n Telegram, chatbot, communication : étapes du workflow
Étape 1 : le workflow est déclenché par un message reçu sur Telegram via le noeud 'telegramInput'.
- Étape 1 : le bot envoie un message de saisie avec 'SendTyping' pour informer l'utilisateur que sa demande est en cours de traitement.
- Étape 2 : les données sont traitées par le noeud 'ScheduleBot', qui génère une réponse à l'aide d'un modèle de langage.
- Étape 3 : la réponse est ensuite envoyée à l'utilisateur via le noeud 'telegramResponse'.
- Étape 4 : des notes autocollantes sont créées pour garder une trace des interactions et des réponses fournies.
Workflow n8n Telegram, chatbot, communication : guide de personnalisation
Pour personnaliser ce workflow, commencez par ajuster le noeud 'telegramInput' en configurant les paramètres de votre bot Telegram, comme le token d'accès. Modifiez le noeud 'ScheduleBot' pour adapter les réponses générées selon vos besoins spécifiques. Vous pouvez également personnaliser les messages envoyés via 'telegramResponse' pour refléter le ton de votre marque. Pensez à sécuriser le flux en vérifiant les permissions d'accès et en monitorant les interactions pour garantir une expérience utilisateur optimale.