Smart chat routing between Gemini and GPT models based on query complexity
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 7 nodes and runs when a chat message arrives. Along the way it connects Model Selector, OpenAI Chat Model and Google Gemini Chat Model.
How it runs
Trigger: When a chat message arrives.
- Model Selector (AI Agent): runs an AI agent, with model: 2.0 flash
- Main Agent (AI Agent): runs an AI agent, with model: Model Selector
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 Model Selector (v1.9): 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) Model Selector (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (5)
- AI Agent
@n8n/n8n-nodes-langchain.agent - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Model Selector
@n8n/n8n-nodes-langchain.modelSelector - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
From the author
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