Workflow n8n
Automatisation Telegram avec n8n : chatbot AI multi-format
Ce workflow n8n a pour objectif de créer un chatbot interactif sur Telegram, capable de traiter différents formats de contenu grâce à l'intelligence artificielle. Dans un contexte où les entreprises cherchent à améliorer leur service client et à automatiser les interactions, ce workflow offre une solution efficace pour répondre aux demandes des utilisateurs en temps réel. Les cas d'usage incluent la gestion des requêtes textuelles et vocales, ainsi que la correction d'erreurs dans les messages.
- Étape 1 : le workflow commence par le déclencheur 'Listen for incoming events', qui surveille les messages entrants sur Telegram.
- Étape 2 : selon le type de contenu reçu, le flux utilise le nœud 'Determine content type' pour décider du traitement à appliquer.
- Étape 3 : si le message est vocal, le nœud 'Download voice file' est activé pour récupérer le fichier audio, suivi par 'Convert audio to text' pour le transformer en texte.
- Étape 4 : le nœud 'OpenAI Chat Model' génère une réponse basée sur le texte traité.
- Étape 5 : enfin, le message final est envoyé via le nœud 'Send final reply'. Ce workflow permet ainsi de réduire le temps de réponse et d'améliorer l'expérience utilisateur, tout en offrant une flexibilité dans le type de contenu traité.
Tags clés :automatisationTelegramchatbotintelligence artificiellen8n
Catégorie: Webhook · Tags: automatisation, Telegram, chatbot, intelligence artificielle, n8n❤ 0
Workflow n8n Telegram, chatbot, intelligence artificielle : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Telegram, chatbot, intelligence artificielle : détail des nœuds
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"id": "HJwTWtzlhK8Q5SOv",
"meta": {
"instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a",
"templateCredsSetupCompleted": true
},
"name": "Telegram AI multi-format chatbot",
"tags": [],
"nodes": [
{
"id": "65196267-0d57-4af4-9081-962701478146",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
660,
640
],
"parameters": {
"model": "gpt-4o",
"options": {
"temperature": 0.7,
"frequencyPenalty": 0.2
}
},
"credentials": {
"openAiApi": {
"id": "rveqdSfp7pCRON1T",
"name": "Ted's Tech Talks OpenAi"
}
},
"typeVersion": 1
},
{
"id": "fc446ef0-2f15-42e7-a993-7960d76d8876",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
800,
640
],
"parameters": {
"sessionKey": "=chat_with_{{ $('Listen for incoming events').first().json.message.chat.id }}",
"contextWindowLength": 10
},
"typeVersion": 1
},
{
"id": "51c3cddd-fc21-4fff-b615-ea7080c47947",
"name": "Correct errors",
"type": "n8n-nodes-base.telegram",
"position": [
1220,
580
],
"parameters": {
"text": "={{ $('AI Agent').item.json.output.replace(/&/g, \"&\").replace(/>/g, \">\").replace(/</g, \"<\").replace(/\"/g, \""\") }}",
"chatId": "={{ $('Listen for incoming events').first().json.message.from.id }}",
"additionalFields": {
"parse_mode": "HTML",
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "9dexJXnlVPA6wt8K",
"name": "Chat & Sound"
}
},
"typeVersion": 1.1
},
{
"id": "d931b7e1-bc17-431e-ae67-967b6ef79236",
"name": "Listen for incoming events",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-440,
480
],
"webhookId": "322dce18-f93e-4f86-b9b1-3305519b7834",
"parameters": {
"updates": [
"*"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "9dexJXnlVPA6wt8K",
"name": "Chat & Sound"
}
},
"typeVersion": 1
},
{
"id": "b33335ff-5dea-4fff-8f63-fea2b11b8241",
"name": "Download voice file",
"type": "n8n-nodes-base.telegram",
"position": [
60,
600
],
"parameters": {
"fileId": "={{$json.message.voice.file_id}}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "9dexJXnlVPA6wt8K",
"name": "Chat & Sound"
}
},
"typeVersion": 1.2
},
{
"id": "2954ced6-ab98-42e6-bf64-237146a433e0",
"name": "Combine content and set properties",
"type": "n8n-nodes-base.set",
"position": [
440,
460
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "bccbce0a-7786-49c9-979a-7a285cb69f78",
"name": "CombinedMessage",
"type": "string",
"value": "={{ $json.message && $json.message.text ? $json.message.text : ($json.text ? $json.text : '') }}"
},
{
"id": "5b1fc9f5-1408-4099-88cc-a23725c9eddb",
"name": "Message Type ",
"type": "string",
"value": "={{ $json?.message?.text && !$json?.text ? \"text query\" : (!$json?.message?.text && $json?.text ? \"voice message\" : \"unknown type message\") }}"
},
{
"id": "1e9a17fa-ec5d-49dc-9ff6-1f28b57fb02e",
"name": "Source Type",
"type": "string",
"value": "={{ $('Listen for incoming events').item.json.message.forward_origin ? \" forwarded\" : \"\" }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e18de374-941f-4c2e-ab6c-6c6f68f2ce12",
"name": "Send final reply",
"type": "n8n-nodes-base.telegram",
"onError": "continueErrorOutput",
"position": [
1040,
460
],
"parameters": {
"text": "={{ $json.output }} \n\nThank you for your{{ $('Combine content and set properties').item.json['Source Type'] }} {{ $('Combine content and set properties').item.json['Message Type '] }} 🤗",
"chatId": "={{ $('Listen for incoming events').first().json.message.from.id }}",
"additionalFields": {
"parse_mode": "HTML",
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "9dexJXnlVPA6wt8K",
"name": "Chat & Sound"
}
},
"typeVersion": 1.1
},
{
"id": "b47a9583-ce5c-464f-a9e6-153fb42e685f",
"name": "Send error message",
"type": "n8n-nodes-base.telegram",
"position": [
60,
300
],
"parameters": {
"text": "=Sorry, {{ $('Listen for incoming events').first().json.message.from.first_name }}! This command is not supported yet. Please send text or voice messages.",
"chatId": "={{ $('Listen for incoming events').first().json.message.from.id }}",
"additionalFields": {
"parse_mode": "Markdown",
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "9dexJXnlVPA6wt8K",
"name": "Chat & Sound"
}
},
"typeVersion": 1.2
},
{
"id": "0196b49e-90a1-4f2f-8b94-492fced37dbf",
"name": "Convert audio to text",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
240,
600
],
"parameters": {
"options": {
"language": "",
"temperature": 0.7
},
"resource": "audio",
"operation": "transcribe"
},
"credentials": {
"openAiApi": {
"id": "rveqdSfp7pCRON1T",
"name": "Ted's Tech Talks OpenAi"
}
},
"typeVersion": 1.5
},
{
"id": "66505b83-e0c3-4d9d-8e1a-9b54030e29e7",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-466.12784869794086,
220
],
"parameters": {
"width": 1035.4478381373049,
"height": 547.5630890194532,
"content": "## Receive and pre-process messages \n"
},
"typeVersion": 1
},
{
"id": "44087d3f-86c8-407c-8791-645d167165cb",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
220
],
"parameters": {
"color": 2,
"width": 861.262180151035,
"height": 550.5748478134515,
"content": "## 1. Send incoming message to the AI Agent\n## 2. Deliver agent reply to the user \n"
},
"typeVersion": 1
},
{
"id": "d7e58831-de97-483f-8b8a-583f85397245",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
553.0639243489702
],
"parameters": {
"color": 6,
"width": 367.73614918993235,
"height": 194.83713159725437,
"content": "## Transcribe audio"
},
"typeVersion": 1
},
{
"id": "89515d80-6efc-40a8-95ce-343d4ff4dbee",
"name": "Send Typing action",
"type": "n8n-nodes-base.telegram",
"position": [
-180,
300
],
"parameters": {
"chatId": "={{ $('Listen for incoming events').first().json.message.from.id }}",
"operation": "sendChatAction"
},
"credentials": {
"telegramApi": {
"id": "9dexJXnlVPA6wt8K",
"name": "Chat & Sound"
}
},
"typeVersion": 1.2
},
{
"id": "c925d059-f843-473c-bfd4-3c563d80ca0f",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
680,
460
],
"parameters": {
"text": "={{ $json.CombinedMessage }}",
"options": {
"humanMessage": "TOOLS\n------\nAssistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are:\n\n{tools}\n\n{format_instructions}\n\nUSER'S INPUT\n--------------------\nHere is the user's input (remember to respond with a markdown code snippet of a json blob with a single action, and NOTHING else):\n\n{{input}}",
"systemMessage": "=You are a helpful AI assistant. You are chatting with the user named `{{ $('Determine content type').item.json.message.from.first_name }}`. You need to address the user by their name. Today is {{ DateTime.fromISO($now).toLocaleString(DateTime.DATETIME_FULL) }}\n\nIn your reply, always send a message in Telegram-supported HTML format. Here are the formatting instructions:\n1. The following tags are currently supported:\n<b>bold</b>, <strong>bold</strong>\n<i>italic</i>, <em>italic</em>\n<u>underline</u>, <ins>underline</ins>\n<s>strikethrough</s>, <strike>strikethrough</strike>, <del>strikethrough</del>\n<span class=\"tg-spoiler\">spoiler</span>, <tg-spoiler>spoiler</tg-spoiler>\n<b>bold <i>italic bold <s>italic bold strikethrough <span class=\"tg-spoiler\">italic bold strikethrough spoiler</span></s> <u>underline italic bold</u></i> bold</b>\n<a href=\"http://www.example.com/\">inline URL</a>\n<code>inline fixed-width code</code>\n<pre>pre-formatted fixed-width code block</pre>\n2. Any code that you send should be wrapped in these tags: <pre><code class=\"language-python\">pre-formatted fixed-width code block written in the Python programming language</code></pre>\nOther programming languages are supported as well.\n3. All <, > and & symbols that are not a part of a tag or an HTML entity must be replaced with the corresponding HTML entities (< with <, > with > and & with &)\n4. If the user sends you a message starting with / sign, it means this is a Telegram bot command. For example, all users send /start command as their first message. Try to figure out what these commands mean and reply accodringly\n"
}
},
"typeVersion": 1.1
},
{
"id": "2c56536d-1a86-4a49-b495-3e877adb308a",
"name": "Determine content type",
"type": "n8n-nodes-base.switch",
"position": [
-180,
480
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.message.text }}",
"rightValue": "/"
}
]
},
"renameOutput": true
},
{
"outputKey": "Voice",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "dd41bbf0-bee0-450b-9160-b769821a4abc",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.voice}}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {
"fallbackOutput": "extra"
}
},
"typeVersion": 3.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "15ae799b-6868-4519-b579-3f202e4de5b2",
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Send final reply",
"type": "main",
"index": 0
}
]
]
},
"Send final reply": {
"main": [
[],
[
{
"node": "Correct errors",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Download voice file": {
"main": [
[
{
"node": "Convert audio to text",
"type": "main",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Convert audio to text": {
"main": [
[
{
"node": "Combine content and set properties",
"type": "main",
"index": 0
}
]
]
},
"Determine content type": {
"main": [
[
{
"node": "Combine content and set properties",
"type": "main",
"index": 0
}
],
[
{
"node": "Download voice file",
"type": "main",
"index": 0
}
],
[
{
"node": "Send error message",
"type": "main",
"index": 0
}
]
]
},
"Listen for incoming events": {
"main": [
[
{
"node": "Determine content type",
"type": "main",
"index": 0
},
{
"node": "Send Typing action",
"type": "main",
"index": 0
}
]
]
},
"Combine content and set properties": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Telegram, chatbot, intelligence artificielle : pour qui est ce workflow ?
Ce workflow s'adresse aux entreprises de taille petite à moyenne souhaitant automatiser leurs interactions sur Telegram. Il est particulièrement adapté aux équipes de support client et aux développeurs cherchant à intégrer des solutions d'IA sans nécessiter de compétences techniques avancées.
Workflow n8n Telegram, chatbot, intelligence artificielle : problème résolu
Ce workflow résout le problème de la lenteur et de l'inefficacité des réponses aux utilisateurs sur Telegram. En automatisant le traitement des messages, il élimine les frustrations liées aux délais de réponse, réduit le risque d'erreurs humaines et permet aux entreprises de fournir un service client 24/7. L'utilisateur bénéficie d'une réponse rapide et pertinente, améliorant ainsi la satisfaction client.
Workflow n8n Telegram, chatbot, intelligence artificielle : étapes du workflow
Étape 1 : le workflow commence par le déclencheur 'Listen for incoming events', qui capte les messages entrants sur Telegram.
- Étape 1 : le nœud 'Determine content type' analyse le type de contenu reçu.
- Étape 2 : pour les messages vocaux, le nœud 'Download voice file' récupère le fichier, suivi par 'Convert audio to text' pour le transformer en texte.
- Étape 3 : le nœud 'OpenAI Chat Model' génère une réponse appropriée.
- Étape 4 : le message final est envoyé à l'utilisateur via le nœud 'Send final reply'.
Workflow n8n Telegram, chatbot, intelligence artificielle : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier le nœud 'OpenAI Chat Model' pour ajuster le modèle de langage utilisé selon vos besoins. Pensez également à configurer les paramètres du nœud 'Listen for incoming events' pour cibler des groupes ou des utilisateurs spécifiques sur Telegram. Si vous souhaitez ajouter d'autres formats de contenu, vous pouvez intégrer des nœuds supplémentaires pour traiter des fichiers ou des images. Assurez-vous de sécuriser votre webhook et de monitorer les performances du flux pour garantir une expérience utilisateur optimale.