Créer des publications X avec Gemini et GPT-4.1 AI, et les approuver manuellement via Telegram

Name: Créer des publications X avec Gemini et GPT-4.1 AI, et les approuver manuellement via Telegram
Rating: 4.5 (10 reviews)
Author: Electrabot

Avancé

Ceci est unSocial Media, Multimodal AIworkflow d'automatisation du domainecontenant 20 nœuds.Utilise principalement des nœuds comme Set, Twitter, Telegram, Agent, TelegramTrigger. Utiliser Gemini et GPT-4.1 AI pour créer des publications X, avec une approbation manuelle via Telegram

Prérequis

•Informations d'identification Twitter API
•Token Bot Telegram
•Peut nécessiter les informations d'identification d'authentification de l'API cible

Nœuds utilisés (20)

Catégorie

Réseaux sociaux

IA Multimodale

Aperçu du workflow

Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement

Déclencheur Telegram

Demande de retour

Classificateur de texte

Agent de révision

Définir la publication

Recherche Tavily

Agent de publication X

Publication X

2.0 Flash

GPT 4.1

React Flow

Exporter le workflow

Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow

{
  "meta": {
    "instanceId": "c06b75187a3df8fc1f7d0dca41a1070761a5c8ab93bdb0bd30143dfe764a0663"
  },
  "nodes": [
    {
      "id": "cd95e4f4-9bd6-4352-b1ab-930a5a0ada65",
      "name": "Déclencheur Telegram",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
        1140,
        760
      ],
      "webhookId": "f9d2a169-fd6e-40f1-82f5-36afa714030d",
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "46e6760c-fd06-4388-947d-16633cb3d676",
      "name": "Demande de retour",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1860,
        760
      ],
      "webhookId": "da32f9b9-1b07-4e0f-9b5a-55a8c9ab9d59",
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "bd5c83f1-d206-4dee-aa08-b4157d760732",
      "name": "Classificateur de texte",
      "type": "@n8n/n8n-nodes-langchain.textClassifier",
      "position": [
        2060,
        760
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "b3e3705c-4708-4be2-a0cb-fc621ba98ce9",
      "name": "Agent de révision",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        2460,
        900
      ],
      "parameters": {},
      "typeVersion": 1.7
    },
    {
      "id": "6a2221ee-b37c-4930-a0c6-d9e664336ac2",
      "name": "Définir la publication",
      "type": "n8n-nodes-base.set",
      "position": [
        1660,
        760
      ],
      "parameters": {},
      "typeVersion": 3.4
    },
    {
      "id": "a46c5389-af81-4b63-ad55-ea46fa301e9d",
      "name": "Recherche Tavily",
      "type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
      "position": [
        1180,
        1180
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "40f0c1cc-8f42-4343-8cda-212e4f69392e",
      "name": "Agent de publication X",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1320,
        760
      ],
      "parameters": {},
      "typeVersion": 1.9
    },
    {
      "id": "bdd2f451-fffb-44e4-bb75-773f54742153",
      "name": "Publication X",
      "type": "n8n-nodes-base.twitter",
      "position": [
        2460,
        640
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "04dac988-2aaa-4f5b-aa68-a9aa8b102da2",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1040,
        540
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "73f4b1f0-2de9-4375-9d6c-7339eb663962",
      "name": "Note adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1820,
        680
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "fef2796f-fe94-4e0a-a471-995c11c6649f",
      "name": "Note adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1620,
        680
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "40b88ec1-aa1d-4719-95d1-b3b7450903d3",
      "name": "Note adhésive3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2020,
        680
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "be4c9897-2f90-4910-b4ba-1758a8d28f85",
      "name": "Note adhésive4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2400,
        580
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "a6b81cc4-0d33-44b1-adfd-6a996bf46c8c",
      "name": "Note adhésive5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2400,
        820
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "767e79d9-a818-488e-b72c-f6f50874f5ae",
      "name": "Note adhésive6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1080,
        680
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "c9cb43dc-a2bb-4b2d-b7e4-6b623135191a",
      "name": "Note adhésive7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1100,
        1100
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "d98e852b-9199-4bfa-8a6b-2266bcde1a3f",
      "name": "Note adhésive8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1360,
        1100
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "f69c5bb2-bced-4508-979d-c4f2e9ceb8c7",
      "name": "Note adhésive15",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        500,
        540
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "58874d22-e2ed-400f-b38e-dd59e3c70223",
      "name": "2.0 Flash",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
      "position": [
        1620,
        1180
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "aec10844-ca5a-4d84-bb41-feaf309514d0",
      "name": "GPT 4.1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
      "position": [
        1460,
        1180
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "aec10844-ca5a-4d84-bb41-feaf309514d0": {
      "ai_languageModel": [
        [
          {
            "node": "b3e3705c-4708-4be2-a0cb-fc621ba98ce9",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "40f0c1cc-8f42-4343-8cda-212e4f69392e",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "6a2221ee-b37c-4930-a0c6-d9e664336ac2": {
      "main": [
        [
          {
            "node": "46e6760c-fd06-4388-947d-16633cb3d676",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "58874d22-e2ed-400f-b38e-dd59e3c70223": {
      "ai_languageModel": [
        [
          {
            "node": "bd5c83f1-d206-4dee-aa08-b4157d760732",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "40f0c1cc-8f42-4343-8cda-212e4f69392e": {
      "main": [
        [
          {
            "node": "6a2221ee-b37c-4930-a0c6-d9e664336ac2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a46c5389-af81-4b63-ad55-ea46fa301e9d": {
      "ai_tool": [
        [
          {
            "node": "40f0c1cc-8f42-4343-8cda-212e4f69392e",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "b3e3705c-4708-4be2-a0cb-fc621ba98ce9": {
      "main": [
        [
          {
            "node": "6a2221ee-b37c-4930-a0c6-d9e664336ac2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "bd5c83f1-d206-4dee-aa08-b4157d760732": {
      "main": [
        [
          {
            "node": "bdd2f451-fffb-44e4-bb75-773f54742153",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "b3e3705c-4708-4be2-a0cb-fc621ba98ce9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "46e6760c-fd06-4388-947d-16633cb3d676": {
      "main": [
        [
          {
            "node": "bd5c83f1-d206-4dee-aa08-b4157d760732",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "cd95e4f4-9bd6-4352-b1ab-930a5a0ada65": {
      "main": [
        [
          {
            "node": "40f0c1cc-8f42-4343-8cda-212e4f69392e",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Foire aux questions

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 - Réseaux sociaux, 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.