AI Orchestrator: dynamically Selects Models Based on Input Type

This workflow is designed to intelligently route user queries to the most suitable large language model (LLM) based on the type of request received in a chat environment. It uses structured classification and model selection to optimize both performance and cost-efficiency in AI-driven conversations. It dynamically routes requests to specialized AI models based on content type, optimizing response quality and efficiency. Benefits Smart Model Routing: Reduces costs by using lighter models for general tasks and reserving heavier models for complex needs. Scalability: Easily expandable by adding more request types or LLMs. Maintainability: Clear logic separation between classification, model ro

Help me set up the n8n workflow "AI Orchestrator: dynamically Selects Models Based on Input Type" (https://n8n.io/workflows/7004). It uses: AI Agent, Basic LLM Chain, Anthropic Chat Model, OpenAI Chat Model, Simple Memory, Structured Output Parser, Google Gemini Chat Model, OpenRouter Chat Model, Model Selector. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.