⚒️ Smart chat routing between Gemini and GPT models based on query complexity
⚡ 369 views · ⚒️ Engineering
Description
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!
🔗 Nodes Used
AI Agent, OpenAI Chat Model, Chat Trigger, Google Gemini Chat Model, Model Selector
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File