Telegram AI bot with LangChain nodes

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.telegram, n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.telegramtrigger, n8n-nodes-base.set, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.toolworkflow

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by n8n Team.

Original n8n.io source

1.1 Workflow description

Title: Telegram AI bot with LangChain nodes
Workflow name: Telegram AI bot with LangChain nodes

OpenAI GPT-4 model is called to generate the replies
Window Buffer Memory stores the history of conversation with each user separately
There is an additional Custom n8n Workflow tool (Dall-E 3 Tool). AI Agent uses this tool when the user requests an image generation. In the lower part of the workflow, there is a series of nodes that call Dall-E 3 model with the user Telegram ID and a prompt for a new image. Once image is ready, it is sent back to the user. Finally, there is an extra Telegram node that masks HTML syntax for improved stability in case the AI Agent replies using the unsupported format.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 2 - Window Buffer Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1

Block 3 - Telegram

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.1

Block 4 - Correct errors

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.1

Block 5 - Execute Workflow Trigger

Type / Role: n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices: Version 1

Block 6 - Listen for incoming events

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1

Block 7 - Send back an image

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.1

Block 8 - add response field

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.2

Block 9 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Dall-E 3 Tool

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1

Block 11 - Generate image in Dall-E 3

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.1

Block 12 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.1

3. Summary Table

Workflow	Telegram AI bot with LangChain nodes
Complexity	intermediate
Nodes	12
Categories	Support Chatbot, AI Chatbot
Author	n8n Team
Published	29 Dec 2023

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2035/2035.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Telegram AI bot with LangChain nodes do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

n8n Team

90 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.memorybufferwindow n8n-nodes-base.telegram n8n-nodes-base.executeworkflowtrigger n8n-nodes-base.telegramtrigger n8n-nodes-base.set n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.toolworkflow

Complexity

intermediate

Published 29 Dec 2023

Likes 0

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Install path: /data/workflows/2035/2035.json

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Telegram AI bot with LangChain nodes

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Block 2 - Window Buffer Memory

Block 3 - Telegram

Block 4 - Correct errors

Block 5 - Execute Workflow Trigger

Block 6 - Listen for incoming events

Block 7 - Send back an image

Block 8 - add response field

Block 9 - Sticky Note

Block 10 - Dall-E 3 Tool

Block 11 - Generate image in Dall-E 3

Block 12 - AI Agent

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions