Telegram AI bot with LangChain nodes
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: 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.
Related Templates
Use OpenRouter in n8n versions <1.78
What it is: In version 1.78, n8n introduced a dedicated node to use the OpenRouter service, which lets you to use a lot...
Task Deadline Reminders with Google Sheets, ChatGPT, and Gmail
Intro This template is for project managers, team leads, or anyone who wants to automatically remind teammates of tasks ...
🤖 Build Resilient AI Workflows with Automatic GPT and Gemini Failover Chain
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This...
🔒 Please log in to import templates to n8n and favorite templates
Workflow Visualization
Loading...
Preparing workflow renderer
Comments (0)
Login to post comments