Dynamic LLM routing for AI chat interactions

• Automate AI chat interactions with dynamic model selection
• Enhance user experience by routing requests to specialized LLMs
• Maintain conversation context with memory features
• Support various tasks including text generation, coding, and image analysis

Receive chat messages through a trigger node Analyze user input to determine task requirements Route requests to the appropriate LLM based on predefined criteria Utilize conversation memory to maintain context across interactions Generate responses using the selected LLM and return to the user

1. 1
   Import the workflow template into your n8n instance
2. 2
   Ensure Ollama is installed and running locally
3. 3
   Configure the necessary credentials for the Ollama models
4. 4
   Activate the workflow and test with sample chat messages