Dynamic AI model router for query optimization with OpenRouter
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 8 nodes and runs when a chat message arrives. Along the way it connects OpenRouter Chat Model and OpenAI Chat Model.
How it runs
Trigger: When a chat message arrives.
- Routing Agent (AI Agent): runs an AI agent, with model: OpenRouter Chat Model; output parser: Auto-fixing Output Parser
- AI Agent: runs an AI agent, with model: OpenRouter Chat Model
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 Routing Agent (v1.9), AI Agent (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) Routing Agent (v1.9), AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (6)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent
@n8n/n8n-nodes-langchain.agent - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
From the author
The Agent Decisioner is a dynamic, AI-powered routing system that automatically selects the most appropriate large language model (LLM) to respond to a user's query based on the query’s content and purpose. This workflow ensures dynamic, optimized AI…