Smart chat routing between Gemini and GPT models based on query complexity

Adaptive LLM Router for Optimized AI Chat Responses

Elevate your AI chatbots with intelligent model selection: automatically route simple queries to cost-effective LLMs and complex ones to powerful ones, balancing performance and expenses seamlessly.

What It Does

This workflow listens for chat messages, uses a lightweight Gemini model to classify query complexity, then selects and routes to the optimal LLM (Gemini 2.5 Pro for complex, OpenAI GPT-4.1 Nano for simple) to generate responses—ensuring efficient resource use.

Key Features

• Complexity Classifier - Quick assessment using Gemini 2.0 Flash
• Dynamic Model Switching - Routes to premium or budget models based on needs
• Chat Trigger - Webhook-based for real-time conversations
• Current Date Awareness - Injects $now into system prompt
• Modular Design - Easy to add more models or adjust rules
• Cost Optimization - Reserves heavy models for demanding tasks only

Perfect For

• Chatbot Developers: Build responsive, cost-aware AI assistants
• Customer Support: Handle routine vs. technical queries efficiently
• Educational Tools: Simple facts vs. in-depth explanations
• Content Creators: Quick ideas vs. detailed writing assistance
• Researchers: Basic lookups vs. complex analysis
• Business Apps: Optimize API costs in production environments

Technical Highlights

Harnessing n8n's LangChain nodes, this workflow demonstrates:

• Webhook triggers for instant chat handling
• Agent-based classification with strict output rules
• Conditional model selection for AI chains
• Integration of multiple LLM providers (Google Gemini, OpenAI)
• Scalable architecture for expanding model options

Ideal for minimizing AI costs while maximizing response quality. No coding required—import, configure credentials, and deploy!