Workflow n8n
Automatisation Telegram avec n8n : création de tâches à partir de messages vocaux
Ce workflow n8n a pour objectif d'automatiser la création de tâches dans Todoist à partir de messages vocaux reçus sur Telegram. Dans un contexte professionnel où la gestion des tâches est cruciale, ce processus permet de gagner du temps et d'améliorer l'efficacité des équipes. Par exemple, un utilisateur peut simplement envoyer un message vocal sur Telegram, et le workflow se charge de le transcrire et de le convertir en une tâche dans Todoist. Cela est particulièrement utile pour les équipes en déplacement ou celles qui préfèrent la communication vocale.
- Étape 1 : le workflow commence par le déclencheur 'Receive Telegram Messages', qui capte les messages entrants.
- Étape 2 : une fois le message reçu, le système détermine s'il s'agit d'un message vocal ou textuel grâce au noeud 'Voice or Text?'.
- Étape 3 : si c'est un message vocal, le noeud 'Fetch Voice Message' récupère le fichier audio, suivi par 'Transcribe Voice to Text' qui convertit la voix en texte.
- Étape 4 : le texte est ensuite préparé pour le traitement avec le noeud 'Prepare for LLM', et les tâches sont extraites via 'Extract Tasks'. Enfin, 'Create Todoist Tasks' crée une nouvelle tâche dans Todoist, et 'Send Confirmation' envoie un message de confirmation à l'utilisateur sur Telegram. Ce workflow offre une valeur ajoutée significative en simplifiant la gestion des tâches et en réduisant les risques d'oubli d'informations importantes.
Tags clés :automatisationTelegramTodoistn8ngestion des tâches
Catégorie: Webhook · Tags: automatisation, Telegram, Todoist, n8n, gestion des tâches❤ 0
Workflow n8n Telegram, Todoist, gestion des tâches : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Telegram, Todoist, gestion des tâches : détail des nœuds
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"meta": {
"instanceId": "b41148c809c7896d124743d940fc0964703e540af66564ef95e25a4ceea61c77",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "e87d3723-7e7a-4ff3-bffb-b2bd2096bd34",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1080,
260
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "uFPD9I4pWJ4xUVf7",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "d25bf3ea-0de4-4317-9205-651f8a1a6ba8",
"name": "Basic LLM Chain",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1060,
40
],
"parameters": {
"text": "={{ $json.text }}",
"messages": {
"messageValues": [
{
"message": "=Okay, I've further refined the system prompt to include only the \"content\" and \"priority\" fields in the JSON output for the Todoist tool. Here's the updated prompt:\n\n**System Prompt:**\n\n```\nYou are an AI agent acting as a project management assistant. The user will provide you with a task or project description. Your job is to break down this task or project into smaller, manageable sub-tasks. You will then format each sub-task into a JSON object suitable for input to the \"Todoist\" tool and provide these JSON objects in a list.\n\n**Requirements:**\n\n1. **Sub-Task Decomposition:** Break down the task or project provided by the user into logical and actionable sub-tasks. Each sub-task should be self-contained, completable, and measurable.\n2. **JSON Format for Todoist:** Format each sub-task as a JSON object with the following structure:\n\n ```json\n {\n \"content\": \"[Task Description]\",\n \"priority\": [Priority Level (1-4, where 4 is highest)]\n }\n ```\n\n * `content`: A clear and concise description of the task.\n * `priority`: An integer representing the task priority, ranging from 1 (lowest) to 4 (highest). Consider the importance and urgency of the task when assigning the priority.\n\n3. **Tool Usage - Todoist JSON Output:** After decomposing the project into sub-tasks, you **MUST** format each sub-task into the JSON structure specified above and present all the JSON objects in a Python list. This list will be the direct input to the \"Todoist\" tool.\n\n4. **Contextual Understanding:** Fully understand the context of the task or project provided by the user. If necessary, ask for additional information or clarification to resolve any ambiguities.\n\n5. **Limitations:**\n\n * Avoid very general or abstract sub-tasks.\n * Ensure that each sub-task is completable and measurable.\n * When creating sub-tasks, consider the user's skills and resources.\n * Ensure all the output is valid JSON format within a python list\n\n**User Input:**\n\nThe user will provide you with a task or project description in the following format:\n\n```\nProject Description: [User's Entered Task or Project Description]\n```\n\n**Example:**\n\n**User Input:**\n\n```\nProject Description: Plan a team offsite.\n```\n\n**LLM Response:**\n\n```python\n[\n {\n \"content\": \"Research potential offsite locations.\",\n \"priority\": 3\n },\n {\n \"content\": \"Determine the budget for the offsite.\",\n \"priority\": 4\n },\n {\n \"content\": \"Send out a survey to gather team preferences.\",\n \"priority\": 3\n },\n {\n \"content\": \"Book the chosen venue.\",\n \"priority\": 4\n },\n {\n \"content\": \"Plan team-building activities.\",\n \"priority\": 2\n }\n]\n```\n\n**Key Changes and Explanations:**\n\n* **Simplified JSON Structure:** The JSON object now only includes `content` and `priority`.\n* **Example Updated:** The example response reflects the simplified JSON format.\n* **Conciseness:** The prompt is now more concise, focusing only on the necessary fields.\n\n**Jinja2 Template Version**\n\n```python\nfrom jinja2 import Template\n\ntemplate_string = \"\"\"\nYou are an AI agent acting as a project management assistant. The user will provide you with a task or project description. Your job is to break down this task or project into smaller, manageable sub-tasks. You will then format each sub-task into a JSON object suitable for input to the \"Todoist\" tool and provide these JSON objects in a list.\n\n**Requirements:**\n\n1. **Sub-Task Decomposition:** Break down the task or project provided by the user into logical and actionable sub-tasks. Each sub-task should be self-contained, completable, and measurable.\n2. **JSON Format for Todoist:** Format each sub-task as a JSON object with the following structure:\n\n ```json\n {\n \"content\": \"[Task Description]\",\n \"priority\": [Priority Level (1-4, where 4 is highest)]\n }\n ```\n\n * `content`: A clear and concise description of the task.\n * `priority`: An integer representing the task priority, ranging from 1 (lowest) to 4 (highest). Consider the importance and urgency of the task when assigning the priority.\n\n3. **Tool Usage - Todoist JSON Output:** After decomposing the project into sub-tasks, you **MUST** format each sub-task into the JSON structure specified above and present all the JSON objects in a Python list. This list will be the direct input to the \"Todoist\" tool.\n\n4. **Contextual Understanding:** Fully understand the context of the task or project provided by the user. If necessary, ask for additional information or clarification to resolve any ambiguities.\n\n5. **Limitations:**\n\n * Avoid very general or abstract sub-tasks.\n * Ensure that each sub-task is completable and measurable.\n * When creating sub-tasks, consider the user's skills and resources.\n * Ensure all the output is valid JSON format within a python list\n\n**User Input:**\n\nThe user will provide you with a task or project description in the following format:\n\n```\nProject Description: {{ project_description }}\n```\n\n**Example:**\n\n**User Input:**\n\n```\nProject Description: Plan a team offsite.\n```\n\n**LLM Response:**\n\n```python\n[\n {\n \"content\": \"Research potential offsite locations.\",\n \"priority\": 3\n },\n {\n \"content\": \"Determine the budget for the offsite.\",\n \"priority\": 4\n },\n {\n \"content\": \"Send out a survey to gather team preferences.\",\n \"priority\": 3\n },\n {\n \"content\": \"Book the chosen venue.\",\n \"priority\": 4\n },\n {\n \"content\": \"Plan team-building activities.\",\n \"priority\": 2\n }\n]\n```\n\"\"\"\n\ntemplate = Template(template_string)\n\n# Example Usage\nproject_description = \"Plan a team offsite.\"\nprompt = template.render(project_description=project_description)\n\nprint(prompt)\n```\n \n"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.5
},
{
"id": "ddfe59c5-574c-470b-b2cc-efa05da74972",
"name": "Receive Telegram Messages",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-220,
-100
],
"webhookId": "4e2cd560-ae4e-4ed7-a8ea-984518404e51",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "lff3pLERRdQmkmeV",
"name": "Telegram account"
}
},
"typeVersion": 1.1
},
{
"id": "23f2cedd-bcd2-4a94-acc1-8829b30553dc",
"name": "Voice or Text?",
"type": "n8n-nodes-base.switch",
"position": [
140,
-20
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "Audio",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "af30c479-4542-405f-b315-37c50c4e2bef",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.voice.file_id }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a3ca8cd4-fbb2-40b5-829a-24724f2fbc85",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.text || \"\" }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "Error",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9bcfdee0-2f09-4037-a7b9-689ef392371d",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "error",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "128e8268-a256-4256-8757-9ece8be86d75",
"name": "Fetch Voice Message",
"type": "n8n-nodes-base.telegram",
"position": [
500,
-120
],
"webhookId": "23645237-4943-4c32-b18c-97c410cc3409",
"parameters": {
"fileId": "={{ $json.message.voice.file_id }}",
"resource": "file"
},
"credentials": {
"telegramApi": {
"id": "lff3pLERRdQmkmeV",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "d8219ba5-bb33-44f5-a9a2-65fd16be335b",
"name": "Transcribe Voice to Text",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
720,
-120
],
"parameters": {
"options": {},
"resource": "audio",
"operation": "translate"
},
"credentials": {
"openAiApi": {
"id": "uFPD9I4pWJ4xUVf7",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "0c5f5568-fd14-4c65-8661-ebc5803158ce",
"name": "Prepare for LLM",
"type": "n8n-nodes-base.set",
"position": [
620,
100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b324a329-3c49-4f7f-b683-74331b7fe7f8",
"name": "=text",
"type": "string",
"value": "={{$json.message.text}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "76ed8f5c-59f7-4cb9-9e59-25ac7e9e8c60",
"name": "Extract Tasks",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1220,
260
],
"parameters": {
"jsonSchemaExample": " {\n \"content\": \"Send out invitations.\",\n \"priority\": 3\n }"
},
"typeVersion": 1.2
},
{
"id": "7d0dbcb7-aac1-4eea-8f0b-6173148bfd3f",
"name": "Create Todoist Tasks",
"type": "n8n-nodes-base.todoist",
"position": [
1620,
40
],
"parameters": {
"content": "={{ $json.output.content }}",
"options": {
"priority": "={{ $json.output.priority }}"
},
"project": {
"__rl": true,
"mode": "list",
"value": "2349786654",
"cachedResultName": "Task"
}
},
"credentials": {
"todoistApi": {
"id": "yqSn5VBXyA4R6hgt",
"name": "Todoist account"
}
},
"typeVersion": 2.1
},
{
"id": "544b3f63-8ac1-4f81-9c24-943df16d9324",
"name": "Send Confirmation",
"type": "n8n-nodes-base.telegram",
"position": [
1880,
40
],
"webhookId": "5699aecd-e061-4b7f-af7b-4a23eb7201c6",
"parameters": {
"text": "=Task : {{ $json.content }} Task Link :{{ $json.url }}",
"chatId": "={{ $('Receive Telegram Messages').item.json.message.chat.id }}",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "lff3pLERRdQmkmeV",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "b244f935-3047-4581-84ac-b01b2f962c1d",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
-240
],
"parameters": {
"width": 260,
"height": 320,
"content": " \n**This workflow listens for incoming voice or text messages from Telegram users.** "
},
"typeVersion": 1
},
{
"id": "fa99930d-8e75-4f1e-aa9b-47c38e611538",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
440,
-220
],
"parameters": {
"width": 460,
"height": 260,
"content": " **Voice messages are fetched from Telegram and transcribed into text using OpenAI's Whisper API.** "
},
"typeVersion": 1
},
{
"id": "beb460c9-0412-40c4-a3cf-76660eb0e1b8",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1000,
-60
],
"parameters": {
"width": 380,
"height": 440,
"content": " \n**The LLM (OpenAI Chat Model) analyzes the text and breaks it down into tasks and sub-tasks, formatted for Todoist.** "
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Extract Tasks": {
"ai_outputParser": [
[
{
"node": "Basic LLM Chain",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Voice or Text?": {
"main": [
[
{
"node": "Fetch Voice Message",
"type": "main",
"index": 0
}
],
[
{
"node": "Prepare for LLM",
"type": "main",
"index": 0
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "Create Todoist Tasks",
"type": "main",
"index": 0
}
]
]
},
"Prepare for LLM": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Fetch Voice Message": {
"main": [
[
{
"node": "Transcribe Voice to Text",
"type": "main",
"index": 0
}
]
]
},
"Create Todoist Tasks": {
"main": [
[
{
"node": "Send Confirmation",
"type": "main",
"index": 0
}
]
]
},
"Transcribe Voice to Text": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"Receive Telegram Messages": {
"main": [
[
{
"node": "Voice or Text?",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Telegram, Todoist, gestion des tâches : pour qui est ce workflow ?
Ce workflow s'adresse aux équipes de projet, aux professionnels en déplacement et aux utilisateurs de Telegram qui souhaitent optimiser leur gestion des tâches. Il est idéal pour les entreprises de taille petite à moyenne, ainsi que pour les indépendants qui utilisent des outils numériques pour organiser leur travail.
Workflow n8n Telegram, Todoist, gestion des tâches : problème résolu
Ce workflow résout le problème de la gestion des tâches manuelle et du risque d'oubli d'informations importantes. En automatisant la transcription des messages vocaux en tâches Todoist, il élimine les frustrations liées à la prise de notes et permet aux utilisateurs de se concentrer sur des tâches à plus forte valeur ajoutée. Les utilisateurs bénéficient ainsi d'une meilleure organisation et d'une productivité accrue.
Workflow n8n Telegram, Todoist, gestion des tâches : étapes du workflow
Étape 1 : le workflow est déclenché par la réception de messages sur Telegram.
- Étape 1 : il vérifie si le message est vocal ou textuel.
- Étape 2 : si c'est un message vocal, il le récupère et le transcrit en texte.
- Étape 3 : le texte est préparé pour l'analyse et les tâches sont extraites.
- Étape 4 : une tâche est créée dans Todoist avec le contenu extrait, suivie de l'envoi d'une confirmation à l'utilisateur sur Telegram.
Workflow n8n Telegram, Todoist, gestion des tâches : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier l'ID de votre projet Todoist dans le noeud 'Create Todoist Tasks'. Assurez-vous également d'ajuster les paramètres du noeud 'Receive Telegram Messages' pour cibler le bon canal ou groupe. Si vous souhaitez intégrer d'autres outils, vous pouvez remplacer le noeud Todoist par un autre service de gestion de tâches. Pensez à sécuriser votre flux en configurant correctement les autorisations d'accès aux API utilisées.