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Agentic Telegram AI bot with LangChain nodes and new tools

Build an intelligent, agentic AI bot for Telegram that responds dynamically to user queries, leveraging the power of LangChain nodes and custom tools. This workflow connects Telegram as the primary communication channel, allowing the bot to listen for incoming messages via the Listen for incoming events trigger. User input is then processed by the AI Agent, which orchestrates interactions with an OpenAI Chat Model for natural language understanding and generation, and a Window Buffer Memory to maintain conversational context. The agent can dynamically decide to use a custom tool, Send back an image, which in turn calls the Generate image in Dalle tool (an AI:toolHttpRequest node) to create and send images based on user requests, before ultimately delivering the final reply back to the user via the Send final reply Telegram node. This setup is ideal for businesses offering interactive customer support, content creators generating on-demand visuals, or communities providing dynamic information retrieval, significantly reducing manual intervention and providing instant, intelligent responses to Telegram users. It automates complex conversational flows, saving significant time and resources typically spent on human-led interactions and content creation.
8 nodesmanual trigger225 views0 copiesSocial Media
TelegramOpenAI

Workflow JSON

{"id": "U8EOTtZvmZPMYc6m", "meta": {"instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a", "templateCredsSetupCompleted": true}, "name": "Agentic Telegram AI bot with LangChain nodes and new tools", "tags": [], "nodes": [{"id": "13b3488e-af72-4d89-bef4-e9b895e3bf76", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [1640, 580], "parameters": {"model": "gpt-4o", "options": {"temperature": 0.7, "frequencyPenalty": 0.2}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1}, {"id": "864937a1-43f6-4055-bdea-61ab07db9903", "name": "Window Buffer Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [1760, 580], "parameters": {"sessionKey": "=chat_with_{{ $('Listen for incoming events').first().json.message.chat.id }}", "contextWindowLength": 10}, "typeVersion": 1}, {"id": "4ef838d4-feaa-4bd3-b2c7-ccd938be4373", "name": "Listen for incoming events", "type": "n8n-nodes-base.telegramTrigger", "position": [1580, 360], "webhookId": "322dce18-f93e-4f86-b9b1-3305519b7834", "parameters": {"updates": ["*"], "additionalFields": {}}, "credentials": {"telegramApi": {"id": "", "name": "[Your telegramApi]"}}, "typeVersion": 1}, {"id": "fed51c41-2846-4a1a-a5f5-ce121ee7fe88", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [1460, 180], "parameters": {"color": 7, "width": 926.3188190787038, "height": 553.452795998601, "content": "## Generate an image with Dall-E-3 and send it via Telegram"}, "typeVersion": 1}, {"id": "1c7a204b-3ed7-47bd-a434-202b05272d18", "name": "Send final reply", "type": "n8n-nodes-base.telegram", "onError": "continueErrorOutput", "position": [2140, 360], "parameters": {"text": "={{ $json.output }}", "chatId": "={{ $('Listen for incoming events').first().json.message.from.id }}", "additionalFields": {"appendAttribution": false}}, "credentials": {"telegramApi": {"id": "", "name": "[Your telegramApi]"}}, "typeVersion": 1.1}, {"id": "bebbe9d4-47ba-4c13-9e1e-d36bfe6e472e", "name": "Send back an image", "type": "n8n-nodes-base.telegramTool", "position": [2020, 580], "parameters": {"file": "={{ $fromAI(\"url\", \"a valid url of an image\", \"string\", \" \") }}", "chatId": "={{ $('Listen for incoming events').first().json.message.from.id }}", "operation": "sendDocument", "additionalFields": {}}, "credentials": {"telegramApi": {"id": "", "name": "[Your telegramApi]"}}, "typeVersion": 1.2}, {"id": "38f2410d-bd55-4ddf-8aaa-4e28919de78f", "name": "Generate image in Dalle", "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "position": [1880, 580], "parameters": {"url": "https://api.openai.com/v1/images/generations", "method": "POST", "sendBody": true, "authentication": "predefinedCredentialType", "parametersBody": {"values": [{"name": "model", "value": "dall-e-3", "valueProvider": "fieldValue"}, {"name": "prompt"}]}, "toolDescription": "Call this tool to request a Dall-E-3 model, when the user asks to draw something. If you g\u0435t a response from this tool, forward it to the Telegram tool.", "nodeCredentialType": "openAiApi"}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1.1}, {"id": "34265eab-9f37-475a-a2ae-a6c37c69c595", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [1780, 360], "parameters": {"text": "={{ $json.message.text }}", "options": {"systemMessage": "=You are a helpful assistant. You are communicating with a user named {{ $json.message.from.first_name }}. Address the user by name every time. If the user asks for an image, always send the link to the image in the final reply."}, "promptType": "define"}, "typeVersion": 1.7}], "active": false, "pinData": {}, "settings": {"executionOrder": "v1"}, "versionId": "b36989c5-295a-4df6-84e9-776815509bc9", "connections": {"AI Agent": {"main": [[{"node": "Send final reply", "type": "main", "index": 0}]]}, "OpenAI Chat Model": {"ai_languageModel": [[{"node": "AI Agent", "type": "ai_languageModel", "index": 0}]]}, "Send back an image": {"ai_tool": [[{"node": "AI Agent", "type": "ai_tool", "index": 0}]]}, "Window Buffer Memory": {"ai_memory": [[{"node": "AI Agent", "type": "ai_memory", "index": 0}]]}, "Generate image in Dalle": {"ai_tool": [[{"node": "AI Agent", "type": "ai_tool", "index": 0}]]}, "Listen for incoming events": {"main": [[{"node": "AI Agent", "type": "main", "index": 0}]]}}}

How to Import This Workflow

  1. 1Copy the workflow JSON above using the Copy Workflow JSON button.
  2. 2Open your n8n instance and go to Workflows.
  3. 3Click Import from JSON and paste the copied workflow.

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