Versioning and Checkpoints

Versioning and Checkpoints

  • When you accept a modified dataflow and send it for approval, it is saved as a new version.
  • You can revert to a previous version if needed.
  • Modifications build upon the latest accepted version.

Error Handling

  • A common error block is added by default.
  • You can prompt the AI to create block-specific error handlers.
  • Manual edits are supported for URL blocks and specific parameters.