Automatisation Telegram avec n8n : génération de discours instantanée
Ce workflow n8n a pour objectif d'automatiser la génération de discours à partir de messages reçus sur Telegram, qu'ils soient textuels ou vocaux. Dans un contexte où la communication efficace est essentielle, ce système permet aux utilisateurs de recevoir des discours personnalisés en réponse à leurs messages, facilitant ainsi la préparation de présentations ou de discours. Grâce à l'automatisation n8n, les utilisateurs peuvent interagir avec un agent AI qui traite les messages et génère des réponses adaptées. Le workflow débute par un déclencheur Telegram qui reçoit les messages. Ensuite, il vérifie si le message est textuel ou vocal. Si un message vocal est détecté, le fichier audio est téléchargé et transcrit à l'aide d'un modèle de langage AI. Parallèlement, le workflow utilise un modèle Google Gemini pour enrichir les réponses. Les messages sont ensuite traités pour supprimer les caractères indésirables et les diviser en morceaux de moins de 4000 caractères, garantissant ainsi une réponse fluide. Les utilisateurs reçoivent alors une réponse sur Telegram, et la mémoire de la conversation est gérée pour un suivi optimal. Les bénéfices de ce workflow sont multiples : il permet de gagner du temps dans la préparation de discours, d'améliorer l'interaction avec les utilisateurs et de garantir des réponses pertinentes et personnalisées. En intégrant ce type d'automatisation dans votre stratégie de communication, vous optimisez vos échanges tout en offrant une expérience utilisateur enrichie. Tags clés : automatisation, Telegram, n8n.
Vue d'ensemble du workflow n8n
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Détail des nœuds du workflow n8n
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"id": "Fdbft9uw8mLGXMoE",
"meta": {
"instanceId": "13d96e1ebd7901d1ed300d36db3a4447107e9ad60df51fe711e45683875362aa",
"templateCredsSetupCompleted": true
},
"name": "Speech Support Workflow",
"tags": [
{
"id": "88Rkm7VaAFefsT34",
"name": "AI",
"createdAt": "2025-05-06T22:52:26.053Z",
"updatedAt": "2025-05-06T22:52:26.053Z"
},
{
"id": "s1UA6FThbKhQYbLu",
"name": "MultiModal",
"createdAt": "2025-05-06T22:52:35.914Z",
"updatedAt": "2025-05-06T22:52:35.914Z"
},
{
"id": "ANT04PP2WxQmkjzl",
"name": "Integrations",
"createdAt": "2025-05-06T22:53:02.798Z",
"updatedAt": "2025-05-06T22:53:02.798Z"
}
],
"nodes": [
{
"id": "8868fc75-4a21-4900-b2b9-7860ee981a9e",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1640,
240
],
"parameters": {
"text": "={{ $('Route Flow Based on Message Content').item.json.text }}",
"options": {
"systemMessage": "={{ $json.system_prompt }}\n\nYou are generating text for a Telegram message. The text should be plain. No * or **"
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "23f48680-a190-48a5-bb7c-e070db41b9e7",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1620,
800
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-001"
},
"credentials": {
"googlePalmApi": {
"id": "zCkkU4GKPR7wANF5",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "6a909fb0-f550-4b5e-94db-6e16682d70bd",
"name": "Recieve Telegram Message",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-480,
240
],
"webhookId": "20140af0-c902-44db-9c53-051def981f9a",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "WvBkWguhZJQm5FpM",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "73d19e09-efc4-43c4-a4e9-382ae66c7651",
"name": "Check For Text or Voice Message",
"type": "n8n-nodes-base.set",
"position": [
-260,
240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b37e51e5-e2c7-4328-b02b-80d08164d595",
"name": "text",
"type": "string",
"value": "={{ $json.message.text||\"\" }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a7ade841-258d-45b2-9150-a56490a4c37f",
"name": "Download Audio File",
"type": "n8n-nodes-base.telegram",
"position": [
180,
120
],
"webhookId": "68e0f93e-5dd0-41aa-89e4-4e7a6be9d3b2",
"parameters": {
"fileId": "={{ $('Recieve Telegram Message').item.json.message.voice.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "WvBkWguhZJQm5FpM",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "73cb448e-f00e-4879-8fa2-facb259b76b2",
"name": "Transcribe Audio File",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
400,
120
],
"parameters": {
"options": {},
"resource": "audio",
"operation": "transcribe"
},
"credentials": {
"openAiApi": {
"id": "cDXozPn1syyex1aJ",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "a1999ecd-cabf-4740-a9a6-98486a868b7f",
"name": "If Voice Message",
"type": "n8n-nodes-base.if",
"position": [
-60,
240
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d60f6ce2-afd0-4ee1-a7c3-3d5bbdb68ea2",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.text }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ac5cad34-3756-4fe3-9269-ae96e5b49e8f",
"name": "Code to remove unwanted characters from LLM response",
"type": "n8n-nodes-base.code",
"position": [
2060,
240
],
"parameters": {
"language": "python",
"pythonCode": "import re\n\ndef clean_markdown_for_telegram(text):\n \"\"\"\n Removes common Markdown formatting characters from a string.\n\n Args:\n text: The input string.\n\n Returns:\n A new string with Markdown characters removed.\n \"\"\"\n markdown_chars = r\"[*_~`\\[\\]()#+\\-=|{}.!]\"\n cleaned_text = re.sub(markdown_chars, \"\", text)\n cleaned_text = \" \".join(cleaned_text.split()).strip()\n return cleaned_text\n\n# Loop over input items and create new items with the cleaned text\noutput_items = []\nfor item in _input.all():\n feedback_text = item.json.get(\"output\", \"\")\n cleaned_feedback = clean_markdown_for_telegram(feedback_text)\n output_items.append({\"json\": {\"cleanedText\": cleaned_feedback}})\n\nreturn output_items"
},
"typeVersion": 2
},
{
"id": "82761634-7472-4ce1-806a-2b80aca985e3",
"name": "Code to split output into chunks under 4000 characters",
"type": "n8n-nodes-base.code",
"position": [
2280,
240
],
"parameters": {
"language": "python",
"pythonCode": "def split_text_for_telegram(text, max_length=4000):\n \"\"\"\n Splits a long text into a list of strings, each with a maximum length\n suitable for Telegram messages.\n\n Args:\n text: The input string to split.\n max_length: The maximum length of each resulting string (default: 4000).\n\n Returns:\n A list of strings, where each string is a chunk of the original text\n with a maximum length of max_length.\n \"\"\"\n if len(text) <= max_length:\n return [text]\n\n chunks = []\n start_index = 0\n while start_index < len(text):\n end_index = min(start_index + max_length, len(text))\n\n split_point = end_index\n if end_index < len(text):\n last_sentence_end = -1\n for i in range(start_index + max_length - 1, start_index - 1, -1):\n if i < len(text) and text[i] in ['.', '?', '!']:\n last_sentence_end = i + 1\n break\n if last_sentence_end > start_index:\n split_point = last_sentence_end\n\n chunks.append(text[start_index:split_point])\n start_index = split_point\n\n return chunks\n\noutput_items = []\nmax_length = 4000\n\nfor item in _input.all():\n text = item.json.get(\"cleanedText\", \"\")\n text_chunks = split_text_for_telegram(text, max_length)\n for chunk in text_chunks:\n output_items.append({\"json\": {\"telegramTextChunk\": chunk}})\n\nreturn output_items"
},
"typeVersion": 2
},
{
"id": "9adbfd4c-bbb9-4c92-bf07-a3b50a92aa02",
"name": "Respond to Telegram Message",
"type": "n8n-nodes-base.telegram",
"position": [
2500,
240
],
"webhookId": "4c77b108-e066-4538-986a-7535143cfaac",
"parameters": {
"text": "={{ $json.telegramTextChunk }}",
"chatId": "={{ $('Recieve Telegram Message').item.json.message.chat.id }}",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "WvBkWguhZJQm5FpM",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "5bdb6ec5-339e-4e8d-a746-9cdbe4d5f12f",
"name": "Wipe Conversation Memory",
"type": "@n8n/n8n-nodes-langchain.memoryManager",
"position": [
940,
-20
],
"parameters": {
"mode": "delete",
"deleteMode": "all"
},
"typeVersion": 1.1
},
{
"id": "aae703f4-e891-4681-aae4-c426ebba5146",
"name": "Store Conversation Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1120,
800
],
"parameters": {
"sessionKey": "={{ $('Recieve Telegram Message').item.json.message.from.id }}",
"sessionIdType": "customKey",
"contextWindowLength": 25
},
"typeVersion": 1.3
},
{
"id": "7457f085-9b19-4a00-9ad6-af2ca8ee16d5",
"name": "Set prompt to start a new speech",
"type": "n8n-nodes-base.set",
"position": [
1340,
-20
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d5b33b03-241b-4193-915a-4eb4dfef05e9",
"name": "system_prompt",
"type": "string",
"value": "\"I am preparing to give a speech. Your role is to act as my speech preparation assistant. Please guide me through the process of getting ready to deliver this speech effectively. Ask me relevant questions and suggest steps we should take to ensure a successful presentation.\n\nPotential areas we can work on include:\n\nDefining the core message and key takeaways.\nUnderstanding the audience's needs and expectations.\nStructuring the speech for maximum impact.\nCrafting engaging content and supporting materials.\nDeveloping effective opening and closing remarks.\nPracticing delivery and managing speaking anxiety.\nAnticipating potential questions from the audience.\nConsidering the logistics of the presentation (e.g., time limits, equipment).\nWhere should we begin?"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0a9f2c04-7f7e-488c-866c-717a78bf7db1",
"name": "Set prompt to generate a speech based on the feedback",
"type": "n8n-nodes-base.set",
"position": [
1340,
220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ddbff433-f4bb-4ac1-a954-7fb32c942a9b",
"name": "system_prompt",
"type": "string",
"value": "I want you to act as a speech synthesizer and improvement agent. You have access to the content of several speeches I have previously provided, along with the constructive feedback I received on each and with this information your task is to generate a new speech.\n\nThis new speech should incorporate the following:\n\nKey themes and ideas that were present and well-received in my previous speeches.\nStructural elements and transitions that were identified as effective in past feedback.\nEngagement techniques that were noted as successful.\nAvoidance of areas for improvement highlighted in the feedback (e.g., rambling sections, unclear points, pacing issues).\nIncorporation of specific suggestions for improvement that were given.\nA similar tone and style to my previous speeches, while aiming for enhanced clarity and impact based on the feedback.\nPlease provide the complete text of the new speech. Feel free to ask clarifying questions if needed about the new topic, audience, or goal, or if you need a reminder of specific feedback points from my previous speeches. I am ready when you are.\""
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f242361e-6bf4-4c4e-8cd0-72da06823842",
"name": "Set prompt to provide feedback on speech",
"type": "n8n-nodes-base.set",
"position": [
1340,
420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b86d5905-872a-40fa-9855-054cd8991a0d",
"name": "system_prompt",
"type": "string",
"value": "I'd like you to act as a speech feedback agent. I will deliver a speech to you, and I want you to provide constructive criticism and insights on various aspects of my delivery and content. Please pay attention to: Clarity and Conciseness: Was the message easy to understand? Were there any parts that felt rambling or unnecessary? Engagement: How engaging was the speech overall? Were there moments where your attention might have drifted? Structure and Flow: Did the speech progress logically? Were the transitions smooth? Pacing and Timing: Was the speech delivered at an appropriate pace? Did it feel rushed or too slow? Vocal Delivery (if applicable): (If you are able to describe vocal elements) How was the tone, pitch, and volume? Did it enhance or detract from the message? Content and Impact: Was the content compelling and relevant? Did the speech achieve its intended purpose (as I will describe beforehand)? What was the overall impact of the message? Strengths: What were the most effective aspects of the speech? Areas for Improvement: What specific suggestions do you have to make the speech even better? Before I begin, I will briefly tell you the topic, my intended audience, and my goal for the speech. Are you ready?"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c1f69bc3-2c93-404e-b338-82663deb975b",
"name": "Route Flow Based on Message Content",
"type": "n8n-nodes-base.switch",
"position": [
680,
260
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "new_speech",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "8b36fb19-1a5a-4fe1-aec2-7de8b5829972",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.text }}",
"rightValue": "new speech"
}
]
},
"renameOutput": true
},
{
"outputKey": "generate_speech",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "708d114d-1146-4d8a-b972-cfb5a53a8d77",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.text }}",
"rightValue": "generate speech"
}
]
},
"renameOutput": true
}
]
},
"options": {
"ignoreCase": true,
"fallbackOutput": "extra"
}
},
"typeVersion": 3.2
},
{
"id": "6cf41698-2345-4ff8-bd1e-9549e372b454",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-300
],
"parameters": {
"width": 220,
"height": 900,
"content": "## Dynamic System Prompting:\n\nThis node sets the AI's system prompt according to the user's request identified in the incoming message."
},
"typeVersion": 1
},
{
"id": "1d967631-9300-4fb6-b488-8c09beccbb05",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2000,
-300
],
"parameters": {
"width": 440,
"height": 720,
"content": "## Telegram-Ready Output: Formatting and Length Management:\n\nThese code nodes perform two crucial tasks:\n1. **Formatting:** Removing characters that could cause issues with Telegram's message parsing.\n2. **Chunking:** Dividing messages longer than Telegram's 4000-character limit into multiple shorter messages for sequential delivery."
},
"typeVersion": 1
},
{
"id": "c480550b-c94f-40ee-8338-3deb6bea28d8",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
900,
-300
],
"parameters": {
"width": 340,
"height": 420,
"content": "## Clearing AI Agent Memory:\n\nThis node clears the AI agent's short-term memory. This helps to minimize the influence of past interactions on future responses, thereby reducing the likelihood of the AI generating inaccurate or irrelevant information (hallucinations)."
},
"typeVersion": 1
},
{
"id": "bd36f9a8-30d9-4e0a-978b-a74806685adc",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
-300
],
"parameters": {
"width": 1160,
"height": 740,
"content": "## Processing Telegram Messages:\n\nThis section handles incoming messages from Telegram. It first checks if the message contains text.\n\n1. **Text Message:** If the message includes text, it's directly routed to the analysis switch node.\n2. **Audio Message:** If the message is an audio file:\n * The audio file is downloaded.\n * The audio is transcribed into text.\n * The transcribed text is then sent to the analysis switch node.\n\nFinally, the analyzed text (whether directly from a text message or transcribed from audio) is forwarded for further processing based on the analysis results."
},
"typeVersion": 1
},
{
"id": "cf7d8897-b963-4bb5-9b0e-3ab628e478c7",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1620,
-300
],
"parameters": {
"width": 300,
"height": 740,
"content": "## Gemini-Powered Response and Conversation Storage:\n\nThis node utilizes the Google Gemini model to generate a response to the user's prompt and stores the ongoing conversation."
},
"typeVersion": 1
},
{
"id": "9fffb613-536e-4b4d-8841-7b4bd3121eab",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
-500
],
"parameters": {
"color": 4,
"width": 2740,
"height": 140,
"content": "## This n8n workflow acts as your personal AI speechwriting coach, directly accessible through Telegram. It listens to your spoken or typed drafts, provides insightful feedback on clarity, engagement, structure, and content, and iteratively refines your message based on your updates. Once you're ready, it synthesizes a brand-new speech or talk incorporating all the improvements and your accumulated ideas. This tool streamlines the speechwriting process, offering on-demand AI assistance to help you craft impactful and well-structured presentations."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "4aaa8457-2661-4261-a601-0a0ffaffacff",
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Code to remove unwanted characters from LLM response",
"type": "main",
"index": 0
}
]
]
},
"If Voice Message": {
"main": [
[
{
"node": "Download Audio File",
"type": "main",
"index": 0
}
],
[
{
"node": "Route Flow Based on Message Content",
"type": "main",
"index": 0
}
]
]
},
"Download Audio File": {
"main": [
[
{
"node": "Transcribe Audio File",
"type": "main",
"index": 0
}
]
]
},
"Transcribe Audio File": {
"main": [
[
{
"node": "Route Flow Based on Message Content",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Recieve Telegram Message": {
"main": [
[
{
"node": "Check For Text or Voice Message",
"type": "main",
"index": 0
}
]
]
},
"Wipe Conversation Memory": {
"main": [
[
{
"node": "Set prompt to start a new speech",
"type": "main",
"index": 0
}
]
]
},
"Store Conversation Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
},
{
"node": "Wipe Conversation Memory",
"type": "ai_memory",
"index": 0
}
]
]
},
"Check For Text or Voice Message": {
"main": [
[
{
"node": "If Voice Message",
"type": "main",
"index": 0
}
]
]
},
"Set prompt to start a new speech": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Route Flow Based on Message Content": {
"main": [
[
{
"node": "Wipe Conversation Memory",
"type": "main",
"index": 0
}
],
[
{
"node": "Set prompt to generate a speech based on the feedback",
"type": "main",
"index": 0
}
],
[
{
"node": "Set prompt to provide feedback on speech",
"type": "main",
"index": 0
}
]
]
},
"Set prompt to provide feedback on speech": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Code to remove unwanted characters from LLM response": {
"main": [
[
{
"node": "Code to split output into chunks under 4000 characters",
"type": "main",
"index": 0
}
]
]
},
"Set prompt to generate a speech based on the feedback": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Code to split output into chunks under 4000 characters": {
"main": [
[
{
"node": "Respond to Telegram Message",
"type": "main",
"index": 0
}
]
]
}
}
}Pour qui est ce workflow ?
Ce workflow s'adresse aux entreprises et professionnels souhaitant automatiser leur communication sur Telegram, notamment les équipes marketing, les formateurs ou les conférenciers. Un niveau technique intermédiaire est recommandé pour une personnalisation optimale.
Problème résolu
Ce workflow résout le problème de la préparation de discours en automatisant la génération de contenu en réponse à des messages Telegram. Il élimine les frustrations liées à la création manuelle de discours et réduit le temps nécessaire pour répondre aux demandes des utilisateurs. Les utilisateurs bénéficient d'une réponse rapide et adaptée, ce qui améliore leur satisfaction et leur engagement.
Étapes du workflow
Étape 1 : Le workflow est déclenché par un message reçu sur Telegram. Étape 2 : Il vérifie si le message est textuel ou vocal. Étape 3 : Si c'est un message vocal, le fichier audio est téléchargé et transcrit. Étape 4 : Le texte est traité par un agent AI pour générer une réponse. Étape 5 : Les réponses sont formatées pour supprimer les caractères indésirables et divisées en morceaux. Étape 6 : La réponse finale est envoyée à l'utilisateur sur Telegram. Étape 7 : La mémoire de la conversation est gérée pour un suivi efficace.
Guide de personnalisation du workflow n8n
Pour personnaliser ce workflow, vous pouvez modifier les paramètres du déclencheur Telegram, tels que le type de message à écouter. Les modèles de langage AI utilisés peuvent également être ajustés selon vos besoins spécifiques. Pensez à adapter les prompts pour générer des discours qui correspondent à votre style ou à votre secteur d'activité. Assurez-vous de configurer correctement la gestion de la mémoire pour suivre les conversations de manière efficace. Enfin, vous pouvez intégrer d'autres outils ou services n8n pour enrichir encore plus les réponses générées.