💬 Allow users to send a sequence of messages to an AI agent in Telegram
⚡ 14,038 views · 💬 Support Chatbots
Description
Use Case
When creating chatbots that interface through applications such as Telegram and WhatsApp, users can often sends multiple shorter messages in quick succession, in place of a single, longer message. This workflow accounts for this behaviour.
What it Does
This workflow allows users to send several messages in quick succession, treating them as one coherent conversation instead of separate messages requiring individual responses.
How it Works
- When messages arrive, they are stored in a Supabase PostgreSQL table
- The system waits briefly to see if additional messages arrive
- If no new messages arrive within the waiting period, all queued messages are:
- Combined and processed as a single conversation
- Responded to with one unified reply
- Deleted from the queue
Setup
- Create a table in Supabase called message_queue. It needs to have the following columns: user_id (
uint8), message (text), and message_id (uint8) - Add your Telegram, Supabase, OpenAI, and PostgreSQL credentials
- Activate the workflow and test by sending multiple messages the Telegram bot in one go
- Wait ten seconds after which you will receive a single reply to all of your messages
How to Modify it to Your Needs
- Change the value of Wait Amount in the Wait 10 Seconds node in order to to modify the buffering window
- Add a System Message to the AI Agent to tailor it to your specific use case
- Replace the OpenAI sub-node to use a different language model
🔗 Nodes Used
Telegram, Telegram Trigger, Supabase, AI Agent, OpenAI Chat Model, Postgres Chat Memory
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File