What this error means

AI Model Not Found: Model name is not valid block is a Cursor failure pattern reported for developers trying to fix cursor ide model loading error caused by broken auto-mode model mapping in version 2.4.7+; ghost models fail to load. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

dredyson.com detailed guide documents specific error 'AI Model Not Found - Model name is not valid block' triggered by Cursor 2.4.7+ Auto Mode attempting to load non-existent models from broken autoModels.json config. Affects paying Cursor subscription users unable to use AI coding features. DEBUG logs show ModelLoader attempting to load 'block-v2-32k' which doesn't exist in registry. Category: Cursor per mapping rules. Not a duplicate of existing 'model not available' — this is a distinct config corruption variant.

Common causes

  • dredyson.com detailed guide documents specific error 'AI Model Not Found - Model name is not valid block' triggered by Cursor 2.4.7+ Auto Mode attempting to load non-existent models from broken autoModels.json config. Affects paying Cursor subscription users unable to use AI coding features. DEBUG logs show ModelLoader attempting to load 'block-v2-32k' which doesn't exist in registry. Category: Cursor per mapping rules. Not a duplicate of existing 'model not available' — this is a distinct config corruption variant.

Quick fixes

  1. Confirm the exact error signature matches AI Model Not Found: Model name is not valid block.
  2. Check the Cursor account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.