Debounce Telegram support messages and aggregate replies with OpenAI
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 16 nodes and runs when an HTTP GET request hits its webhook URL (plus 1 other trigger). Along the way it connects Postgres, OpenAI Chat Model and Telegram.
How it runs
Trigger: When an HTTP GET request hits its webhook URL (plus 1 other trigger).
- Extract User Data (Edit Fields (Set)): sets 3 fields: user_id, message, timestamp
- Check Active Session (Postgres): run a query
- If: checks a condition and branches into true / false
- Create New Session (Postgres): run a query
- Append Message (Postgres): run a query
- Store Resume URL (Postgres): run a query
- Respond to Webhook: sends the response back to the webhook caller
- Wait: waits 60 seconds
- Fetch All Messages (Postgres): run a query
- Format All Messages (Code): runs custom JavaScript code
…plus 3 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (11)
- Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - Postgres
n8n-nodes-base.postgres - AI Agent
@n8n/n8n-nodes-langchain.agent - Respond to Webhook
n8n-nodes-base.respondToWebhook - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Telegram Trigger
n8n-nodes-base.telegramTrigger - If
n8n-nodes-base.if - Telegram
n8n-nodes-base.telegram - Code
n8n-nodes-base.code - Wait
n8n-nodes-base.wait
From the author
This workflow prevents your AI support bot from responding to every single message by intelligently aggregating rapid-fire messages from users before generating a comprehensive response. Who's it for Support teams and bot developers who want to provide better…