Build a multichannel customer support AI assistant with Chatwoot & OpenRouter
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenRouter Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Squize Webhook Data (Edit Fields (Set)): sets or maps fields
- Check If Incoming Message (If): checks a condition and branches into true / false
- Load Chatwoot Conversation History (HTTP Request): calls an HTTP API
- Process Loaded History (Code): runs custom JavaScript code
- Chatwoot Assistant (Basic LLM Chain): sends a prompt to an LLM, with model: OpenRouter Chat Model
- Send Message (HTTP Request): calls an HTTP API (POST)
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Webhook
n8n-nodes-base.webhook - Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
From the author
Multichannel AI Assistant Demo for Chatwoot This simple n8n template demonstrates a Chatwoot integration that can: Receive new messages via a webhook. Retrieve conversation history. Process the message history into a format suitable for an LLM. Demonstrate an…