Audit AI Model Lifecycle in n8n Exported Workflows (UpgradeCheck)

Audit AI model lifecycles inside your exported n8n workflows (UpgradeCheck)

Don’t get surprised by failing AI calls. This n8n workflow lets you upload an exported workflow JSON and automatically checks it against UpgradeCheck’s public AI model lifecycle registry to flag OpenAI, Anthropic, and Google model IDs that are retiring or already retired—then shows a clear, human-readable audit summary in a form completion screen.

What this workflow does

• Collects an exported workflow JSON via an n8n Form where you upload a single workflow file.
• Validates the structure by parsing the upload as JSON and confirming it includes an nodes array.
• Fetches the latest lifecycle registry from UpgradeCheck using an HTTP GET request to https://upgradecheck.vercel.app/api/v1/models over HTTPS.
• Scans all node parameters for strings that exactly match model IDs marked as retiring or retired in the registry.
• Generates a prioritized report listing each affected node with its status, retirement date, replacement (if available), and source URL—or reports the workflow as healthy/invalid.
• Displays the audit summary as plain text directly on the form completion screen.

Use cases

• Before deploying an n8n change, quickly audit an exported workflow for model retirement risks.
• For SaaS operators managing many automations, scan uploaded workflows to prevent broken AI integrations.
• Automation engineers reviewing legacy flows can identify affected nodes and plan replacements early.

Technical details

• Nodes/tech stack: code, form, sticky note, form trigger, http request, extract from file.
• Integration: UpgradeCheck public model lifecycle registry via HTTPS HTTP GET.
• Requirements: no credentials or UpgradeCheck account needed—your n8n instance only downloads the public registry and processes the uploaded workflow JSON.
• Output: a readable, prioritized audit summary shown in the n8n form completion screen.