Telegram-Bot

• •Telegram Bot Token
• •Google Gemini API Key

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  "meta": {
    "instanceId": "f21041c58ebe9ae27fd386689e649a871f62f45682ca1c57f2ff2f2e3c9a5999"
  },
  "name": "TelegramBOT",
  "tags": [],
  "nodes": [
    {
      "id": "sticky-note-main",
      "name": "Notizzettel",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 4,
        "width": 460,
        "height": 640,
        "content": "## 📋 TELEGRAM AI BOT - SETUP GUIDE\n\n### 🎯 What This Workflow Does:\nThis is an intelligent Telegram bot that can:\n- Answer text messages using AI\n- Analyze images sent by users\n- Maintain conversation context/memory\n- Provide formatted, attractive responses\n\n### 🔧 Required Setup:\n\n**1. Telegram Bot Token:**\n   - Create a bot via @BotFather on Telegram\n   - Get your bot token\n   - Add credentials in n8n (Telegram account)\n\n**2. Google Gemini API Key:**\n   - Go to Google AI Studio (ai.google.dev)\n   - Create API key\n   - Add credentials in n8n (Google Gemini API account)\n\n**3. Webhook Configuration:**\n   - Activate the workflow\n   - The webhook URL will be automatically set\n\n### 📊 Workflow Flow:\n1. **Telegram Trigger** receives messages\n2. **Route Types** checks if message is text or image\n3. For text: Direct to AI agent\n4. For images: Download → Analyze → Send to AI agent\n5. **AI Agent** processes with memory context\n6. Response sent back to user\n\n### ⚠️ Important Notes:\n- Memory is per message ID (20 message context)\n- Image analysis uses Gemini 2.5 Flash\n- Responses are formatted for Telegram readability"
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-trigger",
      "name": "Notizzettel1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 5,
        "width": 280,
        "height": 160,
        "content": "## 🚀 TRIGGER\nStarts when user sends a message to your Telegram bot.\n\nCaptures both text messages and images."
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-router",
      "name": "Notizzettel2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 6,
        "width": 260,
        "height": 140,
        "content": "## 🔀 ROUTING\nChecks message type:\n- TEXT: Route to text mapper\n- IMAGE: Route to image handler"
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-image",
      "name": "Notizzettel3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 3,
        "width": 360,
        "height": 380,
        "content": "## 🖼️ IMAGE PROCESSING\n1. Download image from Telegram\n2. Analyze with Gemini Vision\n3. Combine description + caption"
      },
      "typeVersion": 1
    },
    {
      "id": "sticky-note-agent",
      "name": "Notizzettel4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        280,
        -80
      ],
      "parameters": {
        "color": 2,
        "width": 300,
        "height": 180,
        "content": "## 🤖 AI AGENT\nGoogle Gemini processes the request with:\n- Conversation memory (20 messages)\n- Context-aware responses\n- Telegram-friendly formatting"
      },
      "typeVersion": 1
    },
    {
      "id": "568a5011-79b3-4660-88d9-c8b4c7c4519d",
      "name": "Wissensdatenbank-Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "parameters": {
        "text": "=Use these Descriptions to reply with a message to the user according to his question simply, shortly, and make sure he understand the thing he attaches:\n\n\"\" {{ $json.text }} \"\"\n\n\nI need your output message to be well spaced and formatted and look as attractive as possible for a telegram response!",
        "options": {
          "systemMessage": ""
        },
        "promptType": "define"
      },
      "typeVersion": 1.9
    },
    {
      "id": "0c3f40bf-3773-4f7b-8b88-404e872d1188",
      "name": "Einfacher Speicher",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        400,
        464
      ],
      "parameters": {
        "sessionKey": "=memory_{{ $('Telegram Trigger').item.json.message.message_id }}",
        "sessionIdType": "customKey",
        "contextWindowLength": 20
      },
      "typeVersion": 1.3
    },
    {
      "id": "74a1218b-fb53-450c-8462-ccad268ad7ee",
      "name": "Bild-Prompt zuordnen",
      "type": "n8n-nodes-base.set",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "48af2dcc-4ce9-45fc-abfc-54f803930092",
              "name": "text",
              "type": "string",
              "value": "=User image description:\n\n{{ $json.content.parts[0].text }}\n\nUser image caption: {{ $('Telegram Trigger').item.json.message.caption }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
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      "name": "Text-Prompt zuordnen",
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      "parameters": {
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        "assignments": {
          "assignments": [
            {
              "id": "38aec976-a32c-4b0e-85f4-c90adc16abc9",
              "name": "text",
              "type": "string",
              "value": "={{ $json.messages[0].text.body }}"
            }
          ]
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      "typeVersion": 3.4
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      "name": "Routentypen",
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      "parameters": {
        "rules": {
          "values": [
            {
              "outputKey": "Text",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
                  {
                    "id": "2fc5c912-629b-4cbe-b5e3-7e3f0651c628",
                    "operator": {
                      "type": "string",
                      "operation": "exists",
                      "singleValue": true
                    },
                    "leftValue": "={{ $json.message.text }}",
                    "rightValue": "text"
                  }
                ]
              },
              "renameOutput": true
            },
            {
              "outputKey": "Image",
              "conditions": {
                "options": {
                  "version": 2,
                  "leftValue": "",
                  "caseSensitive": true,
                  "typeValidation": "strict"
                },
                "combinator": "and",
                "conditions": [
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                    "operator": {
                      "type": "object",
                      "operation": "exists",
                      "singleValue": true
                    },
                    "leftValue": "={{ $json.message.photo[2] }}",
                    "rightValue": "image"
                  }
                ]
              },
              "renameOutput": true
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "5cf1706c-cd33-4def-a99d-958d51654088",
      "name": "Google Gemini Chat-Modell",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
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      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "googlePalmApi": {
          "id": "dBVkcKvaggEaTZ3w",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
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      "name": "Bild analysieren",
      "type": "@n8n/n8n-nodes-langchain.googleGemini",
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      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "models/gemini-2.5-flash",
          "cachedResultName": "models/gemini-2.5-flash"
        },
        "options": {},
        "resource": "image",
        "inputType": "binary",
        "operation": "analyze"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "dBVkcKvaggEaTZ3w",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5b5f176c-7d2d-4db2-9f55-cc4dc18f6d4a",
      "name": "Telegram-Trigger",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
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      ],
      "webhookId": "049da2eb-7ce1-4efd-820f-6a700adea8b6",
      "parameters": {
        "updates": [
          "message"
        ],
        "additionalFields": {}
      },
      "typeVersion": 1.2,
      "alwaysOutputData": false
    },
    {
      "id": "6489c29a-2c59-4362-916a-605f3e63c866",
      "name": "Datei abrufen",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -320,
        272
      ],
      "webhookId": "d1b193c3-236e-4bed-be47-d0e156960d35",
      "parameters": {
        "fileId": "={{ $json.message.photo[2].file_id }}",
        "resource": "file",
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "id": "Q0bwwwn2wzmbamLh",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "7b1b528f-4e3e-48d3-bc33-638fa4a3f446",
      "name": "Textnachricht senden",
      "type": "n8n-nodes-base.telegram",
      "position": [
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      ],
      "webhookId": "53b5dc25-a9ea-47b4-87b7-274984c1115d",
      "parameters": {
        "text": "={{ $json.output }}",
        "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "Q0bwwwn2wzmbamLh",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "332b36b7-0523-4d91-9ec6-0cb0b948d7f2",
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    "Telegram Trigger": {
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