Telegram-Chatbot, der Gemini Pro KI und Google Docs integriert, bauen
Dies ist ein Support Chatbot, AI Chatbot, Multimodal AI-Bereich Automatisierungsworkflow mit 9 Nodes. Hauptsächlich werden Wait, Telegram, GoogleDocsTool, SplitInBatches, HttpRequestTool und andere Nodes verwendet. Telegram-Chatbot mit integriertem Gemini Pro AI und Google Docs bauen
- •Telegram Bot Token
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
Verwendete Nodes (9)
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"name": "Ein Modell abfragen",
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"name": "Eine Textnachricht senden",
"type": "n8n-nodes-base.telegram",
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"webhookId": "3111e55e-41d3-4e3b-863c-bfda700bba92",
"parameters": {
"text": "={{ $json.content.parts[0].text }}",
"chatId": "={{ $('Telegram Trigger').item.json.message.from.id }}",
"replyMarkup": "replyKeyboard",
"additionalFields": {},
"replyKeyboardOptions": {}
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"name": "Ein Dokument in Google Docs abrufen",
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"parameters": {
"simple": false,
"operation": "get",
"documentURL": "https://docs.google.com/document/d/19vaCViYaFkjFM6azAMf6fH6tDL2cwSsjTE5vX3eK6Ss"
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"typeVersion": 2
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"name": "Telegram Trigger",
"type": "n8n-nodes-base.telegramTrigger",
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"webhookId": "05fcff6f-5e32-4599-9b29-c585878352d8",
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"typeVersion": 1.2
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"name": "1 Sekunde warten",
"type": "n8n-nodes-base.wait",
"position": [
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"webhookId": "8223d68f-b3b2-4c42-a6d2-473a19e2904c",
"parameters": {
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"typeVersion": 1.1
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{
"id": "3dc90867-9946-4143-aeb9-a096993486c5",
"name": "Ein Modell in Google Gemini abfragen",
"type": "@n8n/n8n-nodes-langchain.googleGeminiTool",
"position": [
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1488
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"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.0-flash-exp",
"cachedResultName": "models/gemini-2.0-flash-exp"
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"options": {},
"messages": {
"values": [
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"content": "Replay test write user-friendly."
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"typeVersion": 1
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{
"id": "0049c3fc-f6a2-420f-b0ca-c7330021a405",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
4768,
1488
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"parameters": {
"url": "https://devcodejourney.com/",
"options": {},
"toolDescription": "Replay test write user-friendly."
},
"typeVersion": 4.2
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{
"id": "162fb82a-9ced-401a-a67e-6c4d3b84d118",
"name": "Notizzettel",
"type": "n8n-nodes-base.stickyNote",
"position": [
2544,
1184
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"parameters": {
"width": 1552,
"height": 2352,
"content": "# 🤖 Telegram + Gemini + Google Docs Automation in n8n\n\n## 📌 Overview\n\nThis n8n workflow listens for messages sent to a Telegram bot and replies with AI-generated responses using **Google Gemini (PaLM)**. It optionally interacts with **Google Docs** to fetch documents and makes external API requests using an **HTTP Request** node.\n\nThe flow also includes batching and waiting logic to control the pace of replies, making it scalable and human-friendly.\n\n---\n\n## 🧠 What This Workflow Does\n\n### ✅ 1. Trigger from Telegram\n- **Node**: `Telegram Trigger`\n- **Function**: Starts the workflow when a message is received via your Telegram bot.\n\n### ✅ 2. Loop Through Messages\n- **Node**: `Loop Over Items`\n- **Function**: Allows processing multiple incoming messages if required, using batching logic.\n\n### ✅ 3. AI-Powered Reply with Gemini\n- **Node**: `Message a model` (Google Gemini Pro)\n- **Function**: Sends the message to the Gemini AI (via Google PaLM API) to generate a human-friendly, conversational response.\n\n### ✅ 4. Send AI Response via Telegram\n- **Node**: `Send a text message`\n- **Function**: Sends the generated Gemini response back to the user on Telegram.\n\n### ✅ 5. Delay Between Replies\n- **Node**: `Wait 1s`\n- **Function**: Adds a 1-second delay before proceeding to the next message in the loop (helps avoid Telegram rate limits and creates more natural pacing).\n\n### ✅ 6. Optional: External API Request\n- **Node**: `HTTP Request`\n- **Function**: Makes an external API request to `https://devcodejourney.com/` (placeholder URL).\n- **Note**: Currently not connected to message flow but can be used to fetch or send additional data.\n\n### ✅ 7. Optional: Fetch Document from Google Docs\n- **Node**: `Get a document in Google Docs`\n- **Function**: Retrieves the contents of a Google Docs document from a provided link. Can be used to add static text, FAQs, or templates to the conversation.\n\n### ✅ 8. Optional: Alternate Gemini Tool\n- **Node**: `Message a model in Google Gemini`\n- **Function**: Uses a different version (`gemini-2.0-flash-exp`) of the Gemini AI model for fast responses or testing purposes.\n\n---\n\n## 🔧 Technologies Used\n\n- **Telegram Bot API** – for message triggers and replies \n- **Google Gemini (PaLM API)** – for AI-generated responses \n- **Google Docs API** – to fetch document content \n- **HTTP Request** – to connect to any third-party API \n- **n8n** – no-code/low-code workflow automation platform \n\n---\n\n## ⚙️ Use Cases\n\n- AI Chatbot for Telegram using Gemini \n- Personal Assistant or FAQ bot reading from Google Docs \n- Customer service bot that replies in natural language \n- Looping conversations with controlled pacing \n- External data fetching with AI processing \n\n---\n\n## 📌 Notes\n\n- Make sure you have the correct credentials configured in n8n for:\n - Telegram Bot\n - Google Docs OAuth2\n - Google Gemini API (PaLM)\n- You can add error-handling nodes or conditionals to expand the logic.\n- This can be extended into a full AI chatbot or customer support bot.\n\n---\n\n## 🧩 Nodes Used\n\n| Node Name | Type | Purpose |\n|-----------------------------------|----------------------------|-----------------------------------------|\n| Telegram Trigger | telegramTrigger | Listens for incoming Telegram messages |\n| Loop Over Items | splitInBatches | Handles batching of incoming data |\n| Message a model | langchain.googleGemini | Sends prompt to Google Gemini (Pro) |\n| Send a text message | telegram | Sends response back to Telegram user |\n| Wait 1s | wait | Adds a delay between responses |\n| HTTP Request | httpRequestTool | Sends HTTP request to external API |\n| Get a document in Google Docs | googleDocsTool | Fetches content from Google Docs |\n| Message a model in Google Gemini | googleGeminiTool | Alternate Gemini model for responses |\n\n---\n"
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"name": "Über Elemente iterieren1",
"type": "n8n-nodes-base.splitInBatches",
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}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Fortgeschritten - Support-Chatbot, KI-Chatbot, Multimodales KI
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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DevCode Journey
@devcodejourneyI build intelligent systems that automate tasks, streamline workflows, and enhance user experiences using tools like n8n, AI chatbots, and modern automation platforms. With a passion for solving real-world problems through smart technology, I create custom solutions that help individuals and businesses save time, scale faster, and work smarter. Whether it's integrating APIs, building no-code/low-code automations, or developing conversational AI, I'm always exploring the edge of what's possible.
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