🤖 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. 1. State Initialization: The Agent Variables node initializes a failcount to 0. This counter tracks how many models have been attempt
At a glance
🤖 Build resilient AI workflows with automatic GPT and Gemini failover chain is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects OpenAI, Gemini. It's free to download. Follow the 5-step import below to go live in minutes.
- Platform
- n8n
- Connects
- OpenAI, Gemini
- Modules
- 6
- Price
- Free
- Version
- v1.0

About this workflow
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. 1. State Initialization: The Agent Variables node initializes a failcount to 0. This counter tracks how many models have been attempted. 2. 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 this attempt (0 for the first model, 1 for the second, etc.). 3. Agent Execution: The AI Agent node attempts to run your prompt using the model selected by the router. 4. The Fallback Loop: On Success: The workflow completes successfully. On Error: If the AI Agent node fails, its "On Error" output is triggered. This path loops back to the Agent Variables node, which increments the failcount by 1. The process then repeats, causing the Fallback Models router to select the next model in the list. 5. Final Failure: If all connected models are tried and fail, the workflow will stop with an error. Set up steps Setup time: 3-5 minutes 1. Configure Credentials: Ensure you have the necessary credentials (e.g., for OpenAI, Google AI) configured in your n8n instance. 2. Define Your Model Chain: Add the AI model nodes you want to use to the canvas (e.g., OpenAI, Google Gemini, Anthropic). Connect them to the Fallback Models node. Important: The order in which you connect the models determines the fallback order. The model nodes first created/connected will be tried first. 3. Set Your Prompt: Open the AI Agent node and enter the prompt you want to execute. 4. Test: Run the workflow. To test the fallback logic, you can temporarily disable the First Model node or configure it with invalid credentials to force an error.
How to import this n8n workflow
- 1
Download the workflow JSON file after purchase.
- 2
Open n8n → click the menu → Import from File.
- 3
Select the downloaded JSON and import.
- 4
Set up credentials for each node that requires them.
- 5
Click Execute Workflow to test, then activate.
Setup guide
Setup guide included
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- JSON blueprint — instant download
- Setup guide PDF included
- 5 downloads · valid 30 days
- Works with n8n
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