Créer du contenu LinkedIn à partir de Telegram avec GPT-4 et Dumpling AI
Ceci est unMiscellaneous, Multimodal AIworkflow d'automatisation du domainecontenant 16 nœuds.Utilise principalement des nœuds comme Set, Switch, Airtable, Telegram, Agent. Créer du contenu LinkedIn à partir de messages/texte vocaux de Telegram avec Whisper, GPT-4 et Dumpling AI
- •Clé API Airtable
- •Token Bot Telegram
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API OpenAI
Nœuds utilisés (16)
Catégorie
{
"id": "BwphfgLq7SKpdkOy",
"meta": {
"instanceId": "a1ae5c8dc6c65e674f9c3947d083abcc749ef2546dff9f4ff01de4d6a36ebfe6",
"templateCredsSetupCompleted": true
},
"name": "Create LinkedIn Content from Telegram using GPT-4 and Dumpling AI",
"tags": [],
"nodes": [
{
"id": "8a311ea8-7047-444e-b389-d2a46321d29a",
"name": "Simple Mémoire",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
464,
304
],
"parameters": {
"sessionKey": "={{ $('Receive Telegram Input').item.json.message.from.username }}",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "6a7b3fdf-7b5a-4198-9884-34bf8d77a54b",
"name": "Web_search_tool",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
608,
336
],
"parameters": {
"url": "https://app.dumplingai.com/api/v1/search-news",
"method": "POST",
"options": {},
"jsonBody": "={\n \"query\": \"{{ $fromAI('query') }}\"\n}\n",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"toolDescription": "Use this tool to do web research"
},
"credentials": {
"httpHeaderAuth": {
"id": "RLFzAcGRepr5eXZB",
"name": "Dumpling AI-n8n"
}
},
"typeVersion": 4.2
},
{
"id": "e3f5b1a4-48c5-4ad0-a3cd-783520d5ccdc",
"name": "Image_generation_tool",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
816,
320
],
"parameters": {
"url": "https://app.dumplingai.com/api/v1/generate-ai-image",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"FLUX.1-pro\",\n \"input\": {\n \"prompt\": \"{{ $fromAI('prompt') }}\",\n \"seed\": 42,\n \"steps\": 25,\n \"width\": 1024,\n \"height\": 1024,\n \"guidance\": 3,\n \"aspect_ratio\": \"1:1\",\n \"output_format\": \"png\",\n \"output_quality\": 90,\n \"safety_tolerance\": 2,\n \"prompt_upsampling\": false\n }\n}\n",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"toolDescription": "Use this tool to generate images"
},
"credentials": {
"httpHeaderAuth": {
"id": "RLFzAcGRepr5eXZB",
"name": "Dumpling AI-n8n"
}
},
"typeVersion": 4.2
},
{
"id": "06218c34-30c6-4f29-8fb9-4fa2d1ecf2da",
"name": "Receive Telegram Input",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
-720,
48
],
"webhookId": "d0ed5025-57ad-4d80-be09-6eb0d355d8b4",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "hv5o1OogajIIiMlt",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "d9012129-9395-4174-ad54-4f2b7b6b1d3e",
"name": "Check Message Type",
"type": "n8n-nodes-base.switch",
"position": [
-496,
48
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "text",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "18d77f22-b692-462b-8d43-34ddc5609c5e",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.message.text }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "audio",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1a355c34-2cf5-4116-98a4-cce7c0f5caa2",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.message.voice.mime_type }}",
"rightValue": "audio/ogg"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "8f899c95-272e-4aad-aa5d-f6e1a84aad3e",
"name": "Download Telegram Audio",
"type": "n8n-nodes-base.telegram",
"position": [
-272,
144
],
"webhookId": "d9769ce1-37b1-4f1f-bacd-e5cf5e330f20",
"parameters": {
"fileId": "={{ $json.message.voice.file_id }}",
"resource": "file",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "hv5o1OogajIIiMlt",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "21654110-4260-4d6f-b948-581f1928763b",
"name": "Transcribe Audio to Text",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-48,
144
],
"parameters": {
"options": {},
"resource": "audio",
"operation": "transcribe"
},
"credentials": {
"openAiApi": {
"id": "dd8NvMC6rvx8RITo",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.8
},
{
"id": "37fa042f-9a47-4971-9eb3-2ce2b5d5b429",
"name": "Prepare Transcribed Text",
"type": "n8n-nodes-base.set",
"position": [
176,
144
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "573add77-32e9-496c-bbbe-99fb8bbe6e6f",
"name": "text",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "d7b528a6-a57f-4ee4-87d2-9e594b4003fd",
"name": "Extract Text Message",
"type": "n8n-nodes-base.set",
"position": [
288,
-96
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2895b578-af52-42fb-b645-d42cb9456fec",
"name": "text",
"type": "string",
"value": "={{ $json.message.text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "ef871181-d247-4c85-98d8-b88adc8311b1",
"name": "Generate Idea, Context & Image Prompt",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
656,
48
],
"parameters": {
"text": "=user input: {{ $json.text }}",
"options": {
"systemMessage": "=System Prompt for n8n Agent\n\nYou are a content creation agent for LinkedIn.\nYou receive an input idea from user input. Your job is to research, generate context, clean the image prompt, and create a related image. Finally, return a JSON object.\n\nWorkflow\n\nResearch ideas\n\nTake the idea from user input.\n\nForm a clear query string to explore the idea further.\n\nCall Web_search_tool with the query.\n\nOnly retrieve and review 3 news results about the topic.\n\nExtract the most relevant points from those 3 results.\n\nFrom this, produce:\n\nideas: a short, clear statement based on the refined research.\n\ncontext: 2–4 sentences that expand on the idea with simple grammar.\n\nPrepare the image prompt\n\nCraft a descriptive visual prompt based on the idea and context.\n\nThe description should include subject, setting, and mood.\n\nOnce the ideas and context are complete, send the crafted prompt to the Code node to clean it.\n\nThe Code node must ensure that the prompt has no new line characters.\n\nThe Code node is only called once per execution, after the ideas and context are finalized.\n\nGenerate an image\n\nAfter cleaning, use the single cleaned string as the input for Image_generation_tool.\n\nCall Image_generation_tool only once per execution.\n\nRequest a professional LinkedIn-ready image.\n\nUse the returned URL as the image.\n\nFinal Output\n\nAlways return the result as a single JSON object in the format below:\n\n{\n \"ideas\": \"string\",\n \"context\": \"string\",\n \"image\": \"URL\"\n}\n\nRules\n\nGrammar must be simple, clear, and professional.\n\nNo emojis.\n\nNo hyphens.\n\nideas is one short refined idea.\n\ncontext is 2–4 sentences explaining the idea.\n\nimage is the direct URL returned by Image_generation_tool.\n\nAlways call the Code node once to clean the image prompt before passing it to the image tool.\n\nThe Image_generation_tool is only called once per execution, after context and ideas are complete.\n\nReturn nothing except the JSON object."
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "bd2b04e9-b2a5-478c-8a4c-329a49f818ce",
"name": "GPT-4 Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
336,
272
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "dd8NvMC6rvx8RITo",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.2
},
{
"id": "dac36388-cf7b-439c-8524-7ed45e1fd8fa",
"name": "Format Output as JSON",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1168,
272
],
"parameters": {
"jsonSchemaExample": "{\n \"ideas\": \"string\",\n \"context\": \"string\",\n \"image\": \"URL\"\n}\n"
},
"typeVersion": 1.3
},
{
"id": "01130e23-5c3e-4954-b3cd-2615c68c4e0f",
"name": "Clean Image Prompt",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"position": [
992,
320
],
"parameters": {
"jsCode": "// Input comes in as `query`\nlet s = String(query ?? \"\");\n\n// Remove newline and line-separator characters, then collapse spaces\ns = s.replace(/[\\u000A\\u000D\\u2028\\u2029]+/g, \" \");\ns = s.replace(/\\s+/g, \" \").trim();\n\n// Return the cleaned prompt back to the agent\nreturn s;\n",
"description": "Call this node to clean the prompt from any newlines"
},
"typeVersion": 1.3
},
{
"id": "bfabbd38-486d-425d-ad58-3f54e4f1a7eb",
"name": "Save to Airtable",
"type": "n8n-nodes-base.airtable",
"position": [
1104,
48
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "app2L0MDmxtbrFskg",
"cachedResultUrl": "https://airtable.com/app2L0MDmxtbrFskg",
"cachedResultName": "Google search ideas"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblGXuRkIuDI1cESV",
"cachedResultUrl": "https://airtable.com/app2L0MDmxtbrFskg/tblGXuRkIuDI1cESV",
"cachedResultName": "Table 1"
},
"columns": {
"value": {
"ideas": "={{ $json.output.ideas }}",
"context": "={{ $json.output.context }}",
"Image URL": "={{ $json.output.image }}"
},
"schema": [
{
"id": "ideas",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "ideas",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "context",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "context",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Image URL",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Image URL",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "hX3wPN3fUWW9Ctx9",
"name": "Airtable Personal Access Token account 2"
}
},
"typeVersion": 2.1
},
{
"id": "b0998942-3e41-43de-9c30-93534d1236ad",
"name": "Send Confirmation to Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
1312,
48
],
"webhookId": "c1b6fefe-3cd3-45c5-99e1-ce9bb5f477ec",
"parameters": {
"text": "✅ Your content has been created and saved to Airtable.\n \n - Ideas and context are ready \n - Image has been generated and attached \n\nYou can review and approve everything directly in Airtable. ",
"chatId": "={{ $('Receive Telegram Input').item.json.message.chat.id }}",
"additionalFields": {
"appendAttribution": false
}
},
"credentials": {
"telegramApi": {
"id": "hv5o1OogajIIiMlt",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "3e0d23c1-9c4d-4499-8c2a-21072a7fc609",
"name": "Note adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
-800,
-480
],
"parameters": {
"color": 4,
"width": 1024,
"height": 736,
"content": "## 📌 LinkedIn Content Creator Workflow\n\nThis workflow helps you automatically generate polished LinkedIn content using AI. Just send a message (voice or text) to your Telegram bot, and the system will:\n\n1. Transcribe voice (if applicable) using OpenAI Whisper\n2. Use GPT-4 to generate:\n - A short content idea\n - Supporting context (2–4 sentences)\n - An image prompt\n3. Run a Dumpling AI web search for relevant context\n4. Clean and format the image prompt\n5. Generate a visual using Dumpling AI\n6. Save the final result to Airtable\n7. Send a confirmation message back to Telegram\n\n### Output Format (Saved to Airtable):\n```json\n{\n \"ideas\": \"string\",\n \"context\": \"string\",\n \"image\": \"URL\"\n}\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {
"Receive Telegram Input": [
{
"json": {
"message": {
"chat": {
"id": 798432877,
"type": "private",
"username": "Shopwithjennifer",
"first_name": "Shopwithjennifer"
},
"date": 1757640855,
"from": {
"id": 798432877,
"is_bot": false,
"username": "Shopwithjennifer",
"first_name": "Shopwithjennifer",
"language_code": "en"
},
"text": "nano banana and veo 3",
"message_id": 24
},
"update_id": 361830552
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "845a42d0-a02a-4933-a5f8-b993fe6d0b60",
"connections": {
"Simple Memory": {
"ai_memory": [
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},
"bd2b04e9-b2a5-478c-8a4c-329a49f818ce": {
"ai_languageModel": [
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},
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"e3f5b1a4-48c5-4ad0-a3cd-783520d5ccdc": {
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},
"37fa042f-9a47-4971-9eb3-2ce2b5d5b429": {
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}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Divers, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Yang
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