AutomationFlowsAI & RAG › Telegram AI Bot with LangChain

Telegram AI Bot with LangChain

Original n8n title: Telegram AI Bot with Langchain Nodes

Byn8n Team @n8n-team on n8n.io

This workflow connects Telegram bots with LangChain nodes in n8n. The main AI Agent Node is configured as a Conversation Agent. It has a custom System Prompt which explains the reply formatting and provides some additional instructions. The AI Agent has several connections:…

Event trigger★★★☆☆ complexityAI-powered12 nodesOpenAI ChatMemory Buffer WindowTelegramExecute Workflow TriggerTelegram TriggerTool WorkflowHTTP RequestAgent
AI & RAG Trigger: Event Nodes: 12 Complexity: ★★★☆☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #2035 — we link there as the canonical source.

This workflow follows the Agent → Execute Workflow Trigger recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "id": "ax8PJlp1UDb6EGFt",
  "name": "Telegram AI Langchain bot",
  "tags": [],
  "nodes": [
    {
      "id": "e275f31f-6a5f-4444-8bf7-6c003a8e53df",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1100,
        600
      ],
      "parameters": {
        "model": "gpt-4-1106-preview",
        "options": {
          "temperature": 0.7,
          "frequencyPenalty": 0.2
        }
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "f25a6666-ff23-4372-afd0-4920a99aab6a",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        1220,
        600
      ],
      "parameters": {
        "sessionKey": "=chat_with_{{ $('Listen for incoming events').first().json.message.chat.id }}",
        "contextWindowLength": 10
      },
      "typeVersion": 1
    },
    {
      "id": "96faef5d-0349-47fe-a7cf-150953490e90",
      "name": "Telegram",
      "type": "n8n-nodes-base.telegram",
      "onError": "continueErrorOutput",
      "position": [
        1500,
        380
      ],
      "parameters": {
        "text": "={{ $json.output }}",
        "chatId": "={{ $('Listen for incoming events').first().json.message.from.id }}",
        "additionalFields": {
          "parse_mode": "HTML",
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "5ad43039-aaa6-43cd-9b0f-1d02f4d9c4ff",
      "name": "Correct errors",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1700,
        380
      ],
      "parameters": {
        "text": "={{ $('AI Agent').item.json.output.replace(/&/g, \"&amp;\").replace(/>/g, \"&gt;\").replace(/</g, \"&lt;\").replace(/\"/g, \"&quot;\") }}",
        "chatId": "={{ $('Listen for incoming events').first().json.message.from.id }}",
        "additionalFields": {
          "parse_mode": "HTML",
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "0349a250-966a-4064-970a-8bcfba1647ad",
      "name": "Execute Workflow Trigger",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        940,
        900
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "69a45c1f-838f-49ce-9b89-75db6a8b876f",
      "name": "Listen for incoming events",
      "type": "n8n-nodes-base.telegramTrigger",
      "position": [
        940,
        380
      ],
      "parameters": {
        "updates": [
          "message"
        ],
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "2f5d5f25-9870-40d6-ad42-52750e62de63",
      "name": "Send back an image",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1300,
        900
      ],
      "parameters": {
        "file": "={{ $json.data[0].url }}",
        "chatId": "={{ $('Execute Workflow Trigger').first().json.chat_id }}",
        "operation": "sendPhoto",
        "additionalFields": {
          "parse_mode": "HTML"
        }
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "50b43dbf-39e3-4d00-8e47-01e8c193cd1a",
      "name": "add response field",
      "type": "n8n-nodes-base.set",
      "position": [
        1480,
        900
      ],
      "parameters": {
        "fields": {
          "values": [
            {
              "name": "response",
              "stringValue": "Success"
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 3.2
    },
    {
      "id": "171bee83-c8e1-4af3-9d1c-12cb6ede4943",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        900,
        840
      ],
      "parameters": {
        "width": 752.0361990950231,
        "height": 247.42081447963798,
        "content": "## Generate an image with Dall-E 3 and send it via Telegram"
      },
      "typeVersion": 1
    },
    {
      "id": "4d81d201-70bf-4c80-9689-4b65851ad770",
      "name": "Dall-E 3 Tool",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
        1360,
        600
      ],
      "parameters": {
        "name": "Draw_Dalle_image",
        "fields": {
          "values": [
            {
              "name": "chat_id",
              "stringValue": "={{ $('Listen for incoming events').first().json.message.chat.id }}"
            }
          ]
        },
        "workflowId": "={{ $workflow.id }}",
        "description": "Call this tool to request a Dall-E 3 model, when the user asks to draw something. Please send the user request for an image as an inline query string."
      },
      "typeVersion": 1
    },
    {
      "id": "39d532d3-8c96-4722-9cb0-cad92ff39e94",
      "name": "Generate image in Dall-E 3",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1120,
        900
      ],
      "parameters": {
        "url": "https://api.openai.com/v1/images/generations",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "predefinedCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "model",
              "value": "dall-e-3"
            },
            {
              "name": "prompt",
              "value": "={{ $json.query }}"
            },
            {
              "name": "n",
              "value": 1
            },
            {
              "name": "size",
              "value": "1024x1024"
            }
          ]
        },
        "nodeCredentialType": "openAiApi"
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.1
    },
    {
      "id": "e5aa496d-55d3-456b-82bb-fe10a06c7338",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1140,
        380
      ],
      "parameters": {
        "text": "={{ $json.message.text }}",
        "options": {
          "humanMessage": "TOOLS\n------\nAssistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are:\n\n{tools}\n\n{format_instructions}\n\nUSER'S INPUT\n--------------------\nHere is the user's input (remember to respond with a markdown code snippet of a json blob with a single action, and NOTHING else):\n\n{{input}}",
          "systemMessage": "=You are a helpful AI assistant. You are chatting with the user named `{{ $json.message.from.first_name }}`. Today is {{ DateTime.fromISO($now).toLocaleString(DateTime.DATETIME_FULL) }}\n\nFrom time to time call a user by name (if the user name is provided). In your reply, always send a message in Telegram-supported HTML format. Here are the formatting instructions:\n1. The following tags are currently supported:\n<b>bold</b>, <strong>bold</strong>\n<i>italic</i>, <em>italic</em>\n<u>underline</u>, <ins>underline</ins>\n<s>strikethrough</s>, <strike>strikethrough</strike>, <del>strikethrough</del>\n<span class=\"tg-spoiler\">spoiler</span>, <tg-spoiler>spoiler</tg-spoiler>\n<b>bold <i>italic bold <s>italic bold strikethrough <span class=\"tg-spoiler\">italic bold strikethrough spoiler</span></s> <u>underline italic bold</u></i> bold</b>\n<a href=\"http://www.example.com/\">inline URL</a>\n<code>inline fixed-width code</code>\n<pre>pre-formatted fixed-width code block</pre>\n2. Any code that you send should be wrapped in these tags: <pre><code class=\"language-python\">pre-formatted fixed-width code block written in the Python programming language</code></pre>\nOther programming languages are supported as well.\n3. All <, > and & symbols that are not a part of a tag or an HTML entity must be replaced with the corresponding HTML entities (< with &lt;, > with &gt; and & with &amp;)\n4. If the user sends you a message starting with / sign, it means this is a Telegram bot command. For example, all users send /start command as their first message. Try to figure out what these commands mean and reply accodringly\n"
        }
      },
      "typeVersion": 1.1
    }
  ],
  "active": true,
  "settings": {
    "callerPolicy": "workflowsFromSameOwner",
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "saveDataSuccessExecution": "all"
  },
  "versionId": "3e9c27eb-1d2f-40bf-b284-4f6a1bece30c",
  "connections": {
    "AI Agent": {
      "main": [
        [
          {
            "node": "Telegram",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Telegram": {
      "main": [
        [],
        [
          {
            "node": "Correct errors",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Dall-E 3 Tool": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Send back an image": {
      "main": [
        [
          {
            "node": "add response field",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Execute Workflow Trigger": {
      "main": [
        [
          {
            "node": "Generate image in Dall-E 3",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate image in Dall-E 3": {
      "main": [
        [
          {
            "node": "Send back an image",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Listen for incoming events": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

This workflow connects Telegram bots with LangChain nodes in n8n. The main AI Agent Node is configured as a Conversation Agent. It has a custom System Prompt which explains the reply formatting and provides some additional instructions. The AI Agent has several connections:…

Source: https://n8n.io/workflows/2035/ — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis. Uses executeWorkflowTrigger, chatTrigger, stickyNote, memoryBufferWindow. Event-driven trigger; 29 nodes.

Execute Workflow Trigger, Chat Trigger, Memory Buffer Window +4
AI & RAG

This n8n workflow template allows you to interact with an AI agent that extracts details and the transcript of a YouTube video using a provided video ID. Once the details and transcript are retrieved,

Execute Workflow Trigger, Chat Trigger, Memory Buffer Window +4
AI & RAG

Content Ai Agent. Uses agent, telegramTrigger, memoryBufferWindow, telegram. Event-driven trigger; 28 nodes.

Agent, Telegram Trigger, Memory Buffer Window +6
AI & RAG

Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram. Uses lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent. Event-driven trigger; 26 nodes.

OpenAI Chat, Memory Buffer Window, Tool Http Request +8
AI & RAG

This workflow automates the process of generating professional research reports for researchers, students, and professionals. It eliminates manual research and report formatting by aggregating data, g

OpenAI Chat, Memory Buffer Window, Tool Http Request +8