Automatisation Slack avec n8n : création de tickets automatisés
Ce workflow n8n a pour objectif d'automatiser la création de tickets dans Slack à partir de messages spécifiques. Dans un contexte professionnel où la gestion des tâches et des demandes est cruciale, ce processus permet d'optimiser le temps des équipes en réduisant les interventions manuelles. Par exemple, une équipe de support peut ainsi transformer des requêtes clients en tickets sans effort supplémentaire. Le workflow commence par un déclencheur programmé qui active le processus à intervalles réguliers. Ensuite, il utilise le nœud Slack pour récupérer les messages pertinents. Les données sont ensuite traitées par un modèle de langage OpenAI, qui génère des résumés ou des réponses adaptées. Un parser structuré permet d'organiser ces informations avant de décider si un ticket doit être créé. Si tel est le cas, le workflow utilise des nœuds pour créer un ticket dans Slack, en collectant les descriptions nécessaires et en fusionnant les données pertinentes. Les bénéfices de cette automatisation n8n sont multiples : réduction des erreurs humaines, gain de temps significatif pour les équipes, et amélioration de la réactivité face aux demandes clients.
Workflow n8n Slack, gestion des tickets, OpenAI : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Slack, gestion des tickets, OpenAI : détail des nœuds
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"meta": {
"instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
},
"nodes": [
{
"id": "2b3112a9-046e-4aae-8fcc-95bddf3bb02e",
"name": "Slack",
"type": "n8n-nodes-base.slack",
"position": [
828,
327
],
"parameters": {
"limit": 10,
"query": "in:#n8n-tickets has::ticket:",
"options": {},
"operation": "search"
},
"credentials": {
"slackApi": {
"id": "VfK3js0YdqBdQLGP",
"name": "Slack account"
}
},
"typeVersion": 2.2
},
{
"id": "65fd6821-4d19-436c-81d9-9bdb0f5efddd",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1920,
480
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "85125704-7363-40de-af84-f267f8c7e919",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2100,
480
],
"parameters": {
"jsonSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"title\": { \"type\": \"string\" },\n \"summary\": { \"type\": \"string\" },\n \"ideas\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n },\n \"priority\": { \"type\": \"string\" }\n }\n}"
},
"typeVersion": 1.1
},
{
"id": "eda8851a-1929-4f2f-9149-627c0fe62fbc",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
628,
327
],
"parameters": {
"rule": {
"interval": [
{
"field": "minutes"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "ad0d56b5-5caf-4fc0-bdbb-4e6207e4eb03",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
580,
112.87898199907983
],
"parameters": {
"color": 7,
"width": 432.4578914269739,
"height": 427.09547550768553,
"content": "## 1. Query Slack for Messages \n[Read more about the Slack Trigger](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.slack)\n\nSlack API search uses the same search syntax found in the app. Here, we'll use it to filter the latest messages with the ticket emoji within our designated channel called #n8n-tickets. "
},
"typeVersion": 1
},
{
"id": "d4ebe5b3-6d9a-4547-8af8-0985206c4ca4",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1040,
180.44851541532478
],
"parameters": {
"color": 7,
"width": 711.6907825442045,
"height": 632.7258798316449,
"content": "## 2. Decide If We Need to Create a New Ticket \n[Read more about using Linear](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.linear)\n\nFor generated issues, we add the message id to the description of the message so that we can check them at this point in the workflow to avoid duplicates."
},
"typeVersion": 1
},
{
"id": "b2920271-6698-47a4-8cac-ea4cec7b47d6",
"name": "Get Values",
"type": "n8n-nodes-base.set",
"position": [
1100,
360
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={\n \"id\": \"#{{ $json.permalink.split('/').last() }}\",\n \"type\": \"{{ $json.type }}\",\n \"title\": \"__NOT_SET__\",\n \"channel\": \"{{ $json.channel.name }}\",\n \"user\": \"{{ $json.username }} ({{ $json.user }})\",\n \"ts\": \"{{ $json.ts }}\",\n \"permalink\": \"{{ $json.permalink }}\",\n \"message\": \"{{ $json.text.replaceAll('\"','\\\\\"').replaceAll('\\n', '\\\\n') }}\"\n}"
},
"typeVersion": 3.3
},
{
"id": "c4a4db2a-5d1c-4726-8c98-aef57fdcfaa6",
"name": "Create New Ticket?",
"type": "n8n-nodes-base.if",
"position": [
1600,
360
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c11109b6-ee45-4b52-adc3-4be5fe420202",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
},
"leftValue": "={{ Boolean(($json.hashes ?? []).includes($json.id)) }}",
"rightValue": "=false"
}
]
}
},
"typeVersion": 2
},
{
"id": "46acb0de-1df1-4116-8aaf-704ec6644d7c",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1780,
80
],
"parameters": {
"color": 7,
"width": 530.6864600881105,
"height": 578.3950618708791,
"content": "## 3. Use AI to Generate Ticket Contents\n[Read more about using Basic LLM Chain](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm)\n\nFor this demo, we've instructed the AI to do the following:\n* Generate a descriptive title of the issue\n* Summarise the user message into an actionable request.\n* Determine a prority based on tone and context of the user message. \n* Can offer possible fixes through use of tools or RAG. (not implemented)\n"
},
"typeVersion": 1
},
{
"id": "503d4ae7-9d5b-4dab-94a2-da28bc0e49da",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
120
],
"parameters": {
"width": 359.6648027457353,
"height": 400.4748439127683,
"content": "## Try It Out!\n### This workflow does the following:\n* Monitors a Slack channel for new user messages asking for assistance\n* Only user messages which are tagged with the ticket(🎫) emoji are processed.\n* Linear is first checked to see if a ticket was created for the user message.\n* User messages are sent to ChatGPT to generate title, description and priority.\n* Support ticket is created in Linear.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
},
"typeVersion": 1
},
{
"id": "11e423a4-36b6-4ecd-8bf7-58a7d4a1aa9a",
"name": "Get Existing Issues",
"type": "n8n-nodes-base.linear",
"position": [
1260,
360
],
"parameters": {
"operation": "getAll"
},
"credentials": {
"linearApi": {
"id": "Nn0F7T9FtvRUtEbe",
"name": "Linear account"
}
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "413fde96-346a-468e-80b7-d465bd8add14",
"name": "Generate Ticket Using ChatGPT",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1920,
320
],
"parameters": {
"text": "=The \"user issue\" is enclosed by 3 backticks:\n```\n{{ $('Get Values').item.json.message }}\n```\nYou will complete the following 4 tasks:\n1. Generate a title intended for a support ticket based on the user issue only. Be descriptive but use no more than 10 words.\n2. Summarise the user issue only by identifying the key expectations and steps that were taken to reach the conclusion.\n3. Offer at most 3 suggestions to debug or resolve the user issue only. ignore the previous issues for this task.\n4. Identify the urgency of the user issue only and denote the priority as one of \"low\", \"medium\", \"high\" or \"urgent\". If you cannot determine the urgency of the issue, then assign the \"low\" priority. Also consider that requests which require action either today or tomorrow should be prioritised as \"high\".",
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.4
},
{
"id": "66aecf53-6e8a-4ee8-88c3-be6b7d8d0527",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2340,
206
],
"parameters": {
"color": 7,
"width": 374.7406065828194,
"height": 352.3865785298774,
"content": "## 4. Create New Ticket in Linear\n[Read more about using Linear](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.linear)\n\nWith our ticket contents generated, we can now create our ticket in Linear for support to handle.\n"
},
"typeVersion": 1
},
{
"id": "f7898b7b-f60a-4315-a870-8c8ec4ad848f",
"name": "Create Ticket",
"type": "n8n-nodes-base.linear",
"position": [
2480,
380
],
"parameters": {
"title": "={{ $json.output.title }}",
"teamId": "1c721608-321d-4132-ac32-6e92d04bb487",
"additionalFields": {
"stateId": "92962324-3d1f-4cf8-993b-0c982cc95245",
"priorityId": "={{ { 'urgent': 1, 'high': 2, 'medium': 3, 'low': 4 }[$json.output.priority.toLowerCase()] ?? 0 }}",
"description": "=## {{ $json.output.summary }}\n\n### Suggestions\n{{ $json.output.ideas.map(idea => '* ' + idea).join('\\n') }}\n\n## Original Message\n{{ $('Get Values').item.json[\"user\"] }} asks:\n> {{ $('Get Values').item.json[\"message\"] }}\n\n### Metadata\nchannel: {{ $('Get Values').item.json.channel }}\nts: {{ $('Get Values').item.json.ts }}\npermalink: {{ $('Get Values').item.json.permalink }}\nhash: {{ $('Get Values').item.json.id }}\n"
}
},
"credentials": {
"linearApi": {
"id": "Nn0F7T9FtvRUtEbe",
"name": "Linear account"
}
},
"typeVersion": 1
},
{
"id": "0b706c12-6ce0-41af-ad4b-9d98d7d03a41",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
1440,
360
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "multiplex"
},
"typeVersion": 2.1
},
{
"id": "d5b30127-f237-459d-860a-2589e3b54fb8",
"name": "Get Hashes Only",
"type": "n8n-nodes-base.set",
"position": [
1260,
640
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9b0e8527-ea17-4b1e-ba62-287111f4b37e",
"name": "hashes",
"type": "array",
"value": "={{ $json.descriptions.map(desc => desc.match(/hash\\:\\s([\\w#]+)/i)[1]) }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "9de103e1-b6a4-4454-b1b9-73eff730fcb6",
"name": "Collect Descriptions",
"type": "n8n-nodes-base.aggregate",
"position": [
1260,
500
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"renameField": true,
"outputFieldName": "descriptions",
"fieldToAggregate": "description"
}
]
}
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "af34916f-7888-4d41-aee6-752b78e88c0c",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
780,
300
],
"parameters": {
"width": 204.96868508214473,
"height": 296.735132421306,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n🚨**Required**\n* Set the Slack channel to monitor here."
},
"typeVersion": 1
},
{
"id": "58ab44f7-5fe5-4804-8bf1-36f351d86528",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
2440,
360
],
"parameters": {
"width": 183.49787916474958,
"height": 296.735132421306,
"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n🚨**Required**\n* Set the Linear Team Name or ID here."
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Merge": {
"main": [
[
{
"node": "Create New Ticket?",
"type": "main",
"index": 0
}
]
]
},
"Slack": {
"main": [
[
{
"node": "Get Values",
"type": "main",
"index": 0
}
]
]
},
"Get Values": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
},
{
"node": "Get Existing Issues",
"type": "main",
"index": 0
}
]
]
},
"Get Hashes Only": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Slack",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Generate Ticket Using ChatGPT",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Create New Ticket?": {
"main": [
[
{
"node": "Generate Ticket Using ChatGPT",
"type": "main",
"index": 0
}
]
]
},
"Get Existing Issues": {
"main": [
[
{
"node": "Collect Descriptions",
"type": "main",
"index": 0
}
]
]
},
"Collect Descriptions": {
"main": [
[
{
"node": "Get Hashes Only",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Generate Ticket Using ChatGPT",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Generate Ticket Using ChatGPT": {
"main": [
[
{
"node": "Create Ticket",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Slack, gestion des tickets, OpenAI : pour qui est ce workflow ?
Ce workflow s'adresse aux équipes de support client et aux gestionnaires de projet qui utilisent Slack pour la communication interne. Il est idéal pour les entreprises de taille moyenne à grande qui cherchent à automatiser leurs processus de gestion des tickets tout en ayant des compétences techniques intermédiaires.
Workflow n8n Slack, gestion des tickets, OpenAI : problème résolu
Ce workflow résout le problème de la gestion manuelle des tickets, qui peut être source de confusion et de perte de temps. En automatisant la création de tickets à partir de messages Slack, il élimine les risques d'erreurs humaines et permet aux équipes de se concentrer sur des tâches à plus forte valeur ajoutée. Les utilisateurs bénéficient d'une réactivité accrue et d'une meilleure organisation des demandes, ce qui améliore la satisfaction client.
Workflow n8n Slack, gestion des tickets, OpenAI : étapes du workflow
Étape 1 : Le workflow est déclenché selon un calendrier prédéfini.
- Étape 1 : Il récupère les messages de Slack à l'aide du nœud approprié.
- Étape 2 : Les messages sont analysés par le modèle de langage OpenAI pour générer des résumés.
- Étape 3 : Un parser structuré organise les données pour une utilisation ultérieure.
- Étape 4 : Une condition vérifie si un ticket doit être créé.
- Étape 5 : Si nécessaire, le workflow collecte les descriptions et crée un ticket dans Slack, en fusionnant les informations pertinentes.
Workflow n8n Slack, gestion des tickets, OpenAI : guide de personnalisation
Pour personnaliser ce workflow, commencez par ajuster le déclencheur programmé selon vos besoins. Modifiez les paramètres du nœud Slack pour cibler les canaux spécifiques d'où vous souhaitez extraire les messages. Vous pouvez également adapter le modèle de langage OpenAI pour qu'il réponde à des contextes particuliers ou pour qu'il génère des résumés plus détaillés. Pensez à sécuriser le flux en ajoutant des vérifications supplémentaires sur les données entrantes. Enfin, n'hésitez pas à intégrer d'autres outils ou services si nécessaire, en utilisant les nœuds disponibles dans n8n.