Dynamic AI Model Routing for Enhanced Responses

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This n8n workflow is designed to intelligently route user queries to the most suitable AI language model, either Anthropic’s Sonnet 4 or Opus 4, based on the query’s content and complexity. It begins with a webhook trigger that activates when a chat message is received. A routing agent then analyzes the message, using a decision tree to select the optimal model tailored to routine tasks or complex decision-making scenarios. The selected model is invoked to generate a response, which is further refined with web search capabilities and memory storage to ensure accurate, up-to-date, and context-aware replies. Additionally, a structured output parser helps in organizing and managing the output data. This workflow is particularly useful for customer support automation, dynamic chatbot systems, or any AI-driven communication tool requiring flexible model selection for improved accuracy and efficiency.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolCalculator, @n8n/n8n-nodes-langchain.toolThink, httpRequestTool, stickyNote

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