Workflow n8n
Automatisation n8n : gestion des messages Discord en temps réel
- Ce workflow n8n a pour objectif d'automatiser la gestion des messages sur Discord, permettant ainsi aux équipes de répondre rapidement et efficacement aux demandes des utilisateurs. Dans un contexte où la communication instantanée est cruciale, ce type d'automatisation est particulièrement utile pour les entreprises qui souhaitent améliorer leur service client ou gérer des interactions fréquentes sur cette plateforme. Grâce à ce workflow, les utilisateurs peuvent configurer des réponses automatiques basées sur des messages reçus, tout en intégrant des outils d'intelligence artificielle pour enrichir les interactions.
- Le workflow commence par un déclencheur qui s'active lorsqu'un message est reçu sur Discord, utilisant le nœud 'When chat message received'. Ensuite, un agent IA est appelé pour analyser le contenu du message via le nœud 'AI Agent'. En fonction de l'analyse, le workflow peut exécuter différentes actions, comme envoyer des réponses personnalisées ou effectuer des requêtes HTTP pour récupérer des informations supplémentaires. Les nœuds 'HTTP Request' et 'Convert to Markdown' sont utilisés pour formater et envoyer les réponses appropriées.
- Les bénéfices de cette automatisation n8n sont multiples : elle permet non seulement de gagner du temps en réduisant le besoin d'interventions manuelles, mais aussi d'améliorer la satisfaction des utilisateurs grâce à des réponses rapides et pertinentes. En intégrant des outils d'IA, ce workflow offre une valeur ajoutée significative aux entreprises cherchant à optimiser leur communication sur Discord.
Tags clés :automatisationDiscordn8nintelligence artificiellecommunication
Catégorie: Webhook · Tags: automatisation, Discord, n8n, intelligence artificielle, communication❤ 0
Workflow n8n Discord, intelligence artificielle, communication : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n Discord, intelligence artificielle, communication : détail des nœuds
Inscris-toi pour voir l'intégralité du workflow
Inscription gratuite
S'inscrire gratuitementBesoin d'aide ?{
"meta": {
"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "02072c77-9eee-43bc-a046-bdc31bf1bc51",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
1280
],
"parameters": {
"width": 616,
"height": 236,
"content": "### Convert the query string into JSON, apply the limit for a page length"
},
"typeVersion": 1
},
{
"id": "31e7582c-9289-4bd3-b89d-c3d866754313",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
980
],
"parameters": {
"width": 491,
"height": 285.7,
"content": "## Send an error message:\n1. If query param was incorrect, return the instruction. AI Agent should pick up on this and adapt the query on the next iteration.\n2. If the query is OK and an error was during the HTTP Request, then send back the original error message."
},
"typeVersion": 1
},
{
"id": "0f3ec3c8-076a-4f22-a9ab-4623494914ff",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
1300
],
"parameters": {
"width": 1200,
"height": 493,
"content": "## Post-processing of the HTML page:\n1. Keep only <BODY> content\n2. Remove inline <SCRIPT> tag entirely, as well as: NOSCRIPT, IFRAME, OBJECT, EMBED, VIDEO, AUDIO, SVG, and HTML comments.\n3. In case query parameter method=simplified, replace all page URLs (a href) and IMG (src) with NOURL / NOIMG - this may save up to 20% of the page length\n4. Convert the remaining HTML to Markdown. This step further reduces the length of the page: long HTML tags and styles are eliminated, but the markdown syntax keeps some page structure. This gives much better results compared to just a blank text.\n5. Finally, check the page length. If it's too long, send an \"ERROR: PAGE CONTENT TOO LONG\" instead of the actual page. Of course, you could split the page content in chunks, but sometimes long pages just don't have a needed content, so it makes little sense to burn tokens on them."
},
"typeVersion": 1
},
{
"id": "139733cc-7954-459e-9b55-15a3bde4d8b7",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
680
],
"parameters": {
"width": 617,
"height": 503,
"content": "## Example ReAct AI Agent\n1. Agent Prompt is default\n2. Check the description of the HTTP_Request_Tool, it guides the agent to provide a query string with several parameters instead of a JSON object"
},
"typeVersion": 1
},
{
"id": "2b5ee7e4-061d-4a17-8581-54e02086a49a",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-200,
840
],
"webhookId": "e0a11ea2-9dd7-496a-8078-1a96f05fc04b",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "adc5e4d7-bccf-4ee7-9464-5cbb7b1409ba",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
20,
840
],
"parameters": {
"options": {}
},
"typeVersion": 1.8
},
{
"id": "10ccad7d-2c83-4fd9-beb9-a99e1c034947",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
20,
1040
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4btCKq9GjcZHsUb1",
"name": "x.ai compat"
}
},
"typeVersion": 1.2
},
{
"id": "5d582c5f-35d3-4cdb-96ad-fa750be0b889",
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-160,
1340
],
"parameters": {
"inputSource": "passthrough"
},
"typeVersion": 1.1
},
{
"id": "1f073e7d-2cdd-426e-8d05-287fdf20f564",
"name": "QUERY_PARAMS",
"type": "n8n-nodes-base.set",
"position": [
20,
1340
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "f3a339da-66dc-45f1-852a-cdfe0daa4552",
"name": "query",
"type": "object",
"value": "={{ $json.query.substring($json.query.indexOf('?') + 1).split('&').reduce((result, item) => (result[item.split('=')[0]] = decodeURIComponent(item.split('=')[1]), result), {}) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e9f627af-e935-478e-a2b1-b50ea57d14b1",
"name": "CONFIG",
"type": "n8n-nodes-base.set",
"position": [
200,
1340
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ce4bb35a-c5ac-430e-b11a-6bf04de2dd90",
"name": "query.maxlimit",
"type": "number",
"value": "={{ $json?.query?.maxlimit == null ? 70000 : Number($json?.query?.maxlimit) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0309fb92-6785-4e38-aaeb-05ee4b6a64e2",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
440,
1340
],
"parameters": {
"url": "={{ encodeURI($json.query.url) }}",
"options": {
"response": {
"response": {
"neverError": true
}
},
"allowUnauthorizedCerts": true
}
},
"typeVersion": 4.2
},
{
"id": "9c8b9856-a403-405c-afd4-9e9fecaa5913",
"name": "Is error?",
"type": "n8n-nodes-base.if",
"position": [
620,
1340
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "33937446-5010-47d2-b98f-2f0ceae3fbf5",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.hasOwnProperty('error') }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "d7275d78-2c59-4b8f-bb8e-481f73827fd5",
"name": "Stringify error message",
"type": "n8n-nodes-base.set",
"position": [
880,
1120
],
"parameters": {
"include": "selected",
"options": {},
"assignments": {
"assignments": [
{
"id": "510f74a1-17da-4a2a-b207-9eda19f97ee0",
"name": "page_content",
"type": "string",
"value": "={{ $('QUERY_PARAMS').first()?.json?.query?.url == null ? \"INVALID action_input. This should be an HTTP query string like this: \\\"?url=VALIDURL&method=SELECTEDMETHOD\\\". Only a simple string value is accepted. JSON object as an action_input is NOT supported!\" : JSON.stringify($json.error) }}"
}
]
},
"includeFields": "HTML",
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "f7ca9e36-5edb-4573-a258-150c5bdcc644",
"name": "Exctract HTML Body",
"type": "n8n-nodes-base.set",
"position": [
900,
1620
],
"parameters": {
"include": "selected",
"options": {},
"assignments": {
"assignments": [
{
"id": "3639b76e-3ae9-4461-8d4c-552bf1c8a6bf",
"name": "HTML",
"type": "string",
"value": "={{ $json?.data.match(/<body[^>]*>([\\s\\S]*?)<\\/body>/i)[1] }}"
}
]
},
"includeFields": "HTML",
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "9fef995b-d8ab-4d01-b2fb-01a605062fd1",
"name": "Remove extra tags",
"type": "n8n-nodes-base.set",
"position": [
1080,
1620
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "89b927c9-ddc1-4735-a0ea-c1e50a057f76",
"name": "HTML",
"type": "string",
"value": "={{ ($json.HTML || \"HTML BODY CONTENT FOR THIS SEARCH RESULT IS NOT AVAILABLE\").replace(/<script[^>]*>([\\s\\S]*?)<\\/script>|<style[^>]*>([\\s\\S]*?)<\\/style>|<noscript[^>]*>([\\s\\S]*?)<\\/noscript>|<!--[\\s\\S]*?-->|<iframe[^>]*>([\\s\\S]*?)<\\/iframe>|<object[^>]*>([\\s\\S]*?)<\\/object>|<embed[^>]*>([\\s\\S]*?)<\\/embed>|<video[^>]*>([\\s\\S]*?)<\\/video>|<audio[^>]*>([\\s\\S]*?)<\\/audio>|<svg[^>]*>([\\s\\S]*?)<\\/svg>/ig, '')}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4897d31a-6425-4838-b934-95b1451cae61",
"name": "Simplify?",
"type": "n8n-nodes-base.if",
"position": [
1260,
1620
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9c3a2a78-b236-4f47-89b0-34967965e01c",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $('CONFIG').first()?.json?.query?.method }}",
"rightValue": "simplify"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "997c724c-ea8f-4536-a389-ac8429d57448",
"name": "Simplify output",
"type": "n8n-nodes-base.set",
"position": [
1440,
1520
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "92b08041-799b-4335-aefe-3781a42f8ec0",
"name": "HTML",
"type": "string",
"value": "={{ $json.HTML.replace(/href\\s*=\\s*\"(.+?)\"/gi, 'href=\"NOURL\"').replace(/src\\s*=\\s*\"(.+?)\"/gi, 'src=\"NOIMG\"')}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "440a8076-3901-42e2-a36a-bc47ff588dd4",
"name": "Convert to Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
1620,
1620
],
"parameters": {
"html": "={{ $json.HTML }}",
"options": {},
"destinationKey": "page_content"
},
"typeVersion": 1
},
{
"id": "a2fbeb5e-3e82-4777-bb61-3e475ffe2fc8",
"name": "Send Page Content",
"type": "n8n-nodes-base.set",
"position": [
1820,
1620
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "48a78432-2103-44ed-b4d6-7e429ae9e742",
"name": "page_content",
"type": "string",
"value": "={{ $json.page_content.length < $('CONFIG').first()?.json?.query?.maxlimit ? $json.page_content : \"ERROR: PAGE CONTENT TOO LONG\" }}"
},
{
"id": "ec0130f1-16a2-474f-a7cb-96d0e6fc644f",
"name": "page_length",
"type": "string",
"value": "={{ $json.page_content.length }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "d367adfd-efd8-49e3-bed3-d65f23a60a9a",
"name": "HTTP_Request_Tool",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
200,
1040
],
"parameters": {
"name": "HTTP_Request_Tool",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}",
"cachedResultName": "={{ $workflow.id }}"
},
"description": "Call this tool to fetch a webpage content. The input should be a stringified HTTP query parameter like this: \"?url=VALIDURL&method=SELECTEDMETHOD\". \"url\" parameter should contain the valid URL string. \"method\" key can be either \"full\" or \"simplified\". method=full will fetch the whole webpage content in the Markdown format, including page links and image links. method=simplified will return the Markdown content of the page but remove urls and image links from the page content for simplicity. Before calling this tool, think strategically which \"method\" to call. Best of all to use method=simplified. However, if you anticipate that the page request is not final or if you need to extract links from the page, pick method=full.",
"workflowInputs": {
"value": {},
"schema": [],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2
}
],
"pinData": {},
"connections": {
"CONFIG": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"Is error?": {
"main": [
[
{
"node": "Stringify error message",
"type": "main",
"index": 0
}
],
[
{
"node": "Exctract HTML Body",
"type": "main",
"index": 0
}
]
]
},
"Simplify?": {
"main": [
[
{
"node": "Simplify output",
"type": "main",
"index": 0
}
],
[
{
"node": "Convert to Markdown",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "Is error?",
"type": "main",
"index": 0
}
]
]
},
"QUERY_PARAMS": {
"main": [
[
{
"node": "CONFIG",
"type": "main",
"index": 0
}
]
]
},
"Simplify output": {
"main": [
[
{
"node": "Convert to Markdown",
"type": "main",
"index": 0
}
]
]
},
"HTTP_Request_Tool": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Remove extra tags": {
"main": [
[
{
"node": "Simplify?",
"type": "main",
"index": 0
}
]
]
},
"Exctract HTML Body": {
"main": [
[
{
"node": "Remove extra tags",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Convert to Markdown": {
"main": [
[
{
"node": "Send Page Content",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "QUERY_PARAMS",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n Discord, intelligence artificielle, communication : pour qui est ce workflow ?
Ce workflow s'adresse aux entreprises et équipes qui utilisent Discord comme plateforme de communication. Il est particulièrement adapté aux équipes de support client, de gestion de communauté ou de marketing digital, avec un niveau technique intermédiaire requis pour sa mise en place.
Workflow n8n Discord, intelligence artificielle, communication : problème résolu
Ce workflow résout le problème de la lenteur et de l'inefficacité dans la gestion des messages sur Discord. En automatisant les réponses, il élimine les frustrations liées aux délais de réponse et réduit le risque de manquer des messages importants. Les utilisateurs bénéficient d'une interaction plus fluide et d'une meilleure satisfaction client grâce à des réponses instantanées et pertinentes.
Workflow n8n Discord, intelligence artificielle, communication : étapes du workflow
Étape 1 : Le workflow est déclenché par la réception d'un message sur Discord via le nœud 'When chat message received'.
- Étape 1 : L'agent IA analyse le message reçu à l'aide du nœud 'AI Agent'.
- Étape 2 : En fonction de l'analyse, des actions sont exécutées, comme des requêtes HTTP pour récupérer des informations supplémentaires via le nœud 'HTTP Request'.
- Étape 3 : Les réponses sont formatées en Markdown grâce au nœud 'Convert to Markdown' avant d'être envoyées.
Workflow n8n Discord, intelligence artificielle, communication : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier les paramètres du nœud 'When chat message received' pour spécifier les types de messages à traiter. Vous pouvez également ajuster les options dans le nœud 'AI Agent' pour affiner les réponses générées. Si vous souhaitez intégrer d'autres outils ou services, vous pouvez ajouter des nœuds supplémentaires comme des API externes dans le flux. Enfin, assurez-vous de sécuriser les requêtes HTTP en configurant les bonnes options d'authentification.