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.
Updated about 14 hours ago