🤖 Build Resilient AI Workflows with Automatic GPT and Gemini Failover Chain

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow demonstrates how to create a resilient AI Agent that automatically falls back to a different language model if the primary one fails. This is useful for handling API errors, rate limits, or model outages without interrupting your process. State Initialization: The Agent Variables node initializes a failcount to 0. This counter tracks how many models have been attempted. Dynamic Model Selection: The Fallback Models (a LangChain Code node) acts as a router. It receives a list of all connected AI models and, based on the current failcount, selects which one to use for

Help me set up the n8n workflow "🤖 Build Resilient AI Workflows with Automatic GPT and Gemini Failover Chain" (https://n8n.io/workflows/5160). It uses: AI Agent, LangChain Code, OpenAI Chat Model, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.