Overview
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Learn to build an intelligent LLM Router Agent system in n8n that automatically selects the optimal AI model based on specific use cases and discover how to integrate Open Router for access to any available model on the market. Master the complete workflow from initial setup through testing, starting with obtaining Open Router API keys and progressing through creating detailed instructions for model selection. Build a comprehensive system that includes adding multiple models to your router, implementing structured output parsing, and creating effective input/output examples for reliable model routing. Test your router agent thoroughly by passing user queries and validating the answerer agent responses, then optimize the system for handling multiple models efficiently. Gain practical experience with n8n's agent-building capabilities while developing a flexible AI system that can intelligently route requests to the most appropriate language model for each specific task or query type.
Syllabus
0:00 - LLM Router agent
1:45 - Agent results
2:41 - Create your own agents in n8n
3:57 - Starting the build
5:10 - Open Router API keys
8:31 - Creating instructions
10:41 - Adding models
15:23 - Output/input examples
17:23 - Structured output parser
18:57 - Testing our agent
19:36 - Passing user query
22:07 - Testing answerer agent
22:42 - Optimizing for multiple models
24:26 - Build agents by yourself
Taught by
AI Foundations