Dynamically switch between LLMs for AI Agents using LangChain Code

Dynamically switch between LLMs for AI Agents using LangChain Code Purpose This example workflow demonstrates a way to connect multiple LLMs to a single AI Agent/LangChain Node and programmatically use one – or in this case loop through them. What it does This AI workflow takes in customer complaints and generates a response that is being validated before returned. If the answer was not satisfactory, the response will be generated again with a more capable model. How it works A LangChain Code Node allows multiple LLMs to be connected to a single Basic LLM Chain. On every call only one LLM is actually being connected to the Basic LLM Chain, which is determined by the index defined in a previo

Help me set up the n8n workflow "Dynamically switch between LLMs for AI Agents using LangChain Code" (https://n8n.io/workflows/3820). It uses: Basic LLM Chain, LangChain Code, OpenAI Chat Model, Sentiment Analysis. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.