AI Orchestrator: Dynamic LLM Selection by Input Type

Routes chat queries to optimal LLMs based on type (general, reasoning, coding, search) for efficiency and cost savings.

This n8n workflow intelligently classifies incoming chat messages using GPT-4.1-mini and routes them to specialized LLMs like GPT-4.1 mini or Gemini Flash, optimizing for speed, cost, and performance. It handles inputs via a 'When chat message received' trigger, including chatInput and sessionId for personalized sessions. Key benefits include smart model routing to reduce expenses on heavy models, scalability for adding new types or LLMs, clear logic separation for easy maintenance, and support
Platform
n8n
Category
Internet of Things
Price
$24.99
Creator
Fred Garcia

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

Related Internet of Things workflows

More from Fred Garcia

All Internet of Things workflows →All n8n workflows →

Need this deployed? We'll set it up for you.

Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.

Get It DeployedCustom Build