AI Orchestrator: Dynamic LLM Selection by Input Type - n8n Workflow | Neura Market
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
AI Orchestrator
LLM Routing
Chat Automation
Model Selection
OpenAI
Agentic AI
Classification
n8n Workflow
Chatbot
Dynamic Routing
How to import this workflow into n8n
1Purchase or download the workflow to get the n8n workflow JSON file.
2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
3Open each node marked with a credential warning and connect your own accounts and API keys.
4Run the workflow once manually to verify the data flow, then toggle it to Active.