Telegram Chat with Buffering

Name: Telegram Chat with Buffering
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Author: Free N8N

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Telegram Automationaibufferingchatbotconversationsupabasetelegram

Allows users to send a sequence of messages to an AI agent in Telegram with Supabase for message buffering.

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About This Workflow

Overview

This workflow enables users to send multiple messages in succession to an AI agent within Telegram. It utilizes Supabase to buffer incoming messages, ensuring that the AI agent receives the complete conversation context before responding. This is particularly useful for chatbots where users might send fragmented or sequential messages.

Key Features

Buffers incoming Telegram messages using Supabase.
Processes messages sequentially for AI interaction.
Responds to the user with AI-generated output.
Handles message delivery and processing logic.

How To Use

Configure Telegram Trigger: Set up the telegramTrigger node with your Telegram bot token.
Configure Supabase: Set up Supabase credentials and ensure a message_queue table exists with user_id, message, and message_id columns.
Configure AI Model: Set up your OpenAI API credentials and select the desired model in the OpenAI Chat Model node.
Run the workflow: Start receiving messages in your Telegram bot.

Apps Used

buffering

chatbot

conversation

supabase

Workflow JSON

{
  "id": "8837aa23-0184-46ae-86bf-0f45a73be059",
  "name": "Telegram Chat with Buffering",
  "nodes": 0,
  "category": "Telegram Automation",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.