n8n 1.93.0: Important fixes, archive workflows and more

Summary

In this video, Luiz discusses the new features and improvements in version 1.93 of NHN, released on May 12th. He highlights several important updates, including fixes for task runners, enhanced support for Node Code and Python, and new options for handling workflows. Key innovations include the ability to make multiple tool calls in MCP Server Trigger, improvements to workflow deletion with soft deletes, and enhanced community node integration. Luiz also touches on optimizations for performance and stability, encouraging users to explore the full release notes and share feedback.

Takeaways

• 😀 The NHN version 1.93 was released on May 12, with several important fixes and new features.
• 😀 This release is still a pre-release version, so it should not be used in production environments yet.
• 😀 Significant improvements were made in the concurrency management of modules, especially for SK Lite users. It's recommended to migrate to the Postgres version for better compatibility.
• 😀 Enhancements have been made to task execution prioritization and support for test runners in command execution.
• 😀 Python integration with Node Code has been improved, fixing bugs for users using AI libraries.
• 😀 The MCP Server Trigger now supports multiple tool calls within a single request, improving workflow efficiency.
• 😀 A bug in the context menu behavior and modal messages has been fixed, improving the interface's usability.
• 😀 Improvements to insights and observability allow for pruning of old statistics, preventing disk space issues, especially for users with limited storage.
• 😀 New options for partial executions of tools allow running specific nodes in a workflow without executing the entire workflow.
• 😀 The workflow deletion process now includes an archive option, allowing users to recover or permanently delete workflows, reducing accidental loss of work.
• 😀 The new Community Nodes feature allows users to easily discover and install validated community-created nodes directly from the interface.

Q & A

What is the key focus of version 1.93 of NHN as discussed in the video?

The video focuses on the new features, fixes, and improvements introduced in NHN version 1.93, which was released on May 12. It includes several important corrections, optimizations, and new functionalities that enhance compatibility and usability.

What important correction was made regarding the modules for insights, particularly for users of SK Lite?

Version 1.93 includes an adjustment to the concurrency of modules related to insights, especially benefiting users of SK Lite. The video suggests migrating from SK Lite to Postgres for better compatibility and performance.

How does NHN 1.93 improve support for test runners?

NHN 1.93 introduces better support for test runners in execution commands, which is particularly helpful for those using the command line to run workflows. This enhancement allows for more seamless integration with external systems for workflow execution.

What specific improvements were made to Node.js and Python integration in NHN?

The update resolves issues with using Node.js and Python libraries, making it easier for users to integrate Python into NHN workflows. Users encountering problems are encouraged to report bugs for further improvements.

What is the significance of the new feature for MCP Server Trigger in version 1.93?

The MCP Server Trigger now supports multiple tool calls in a single request. This improvement simplifies workflows by allowing multiple tools to be triggered in one go, based on how the MCP trigger and prompts are configured.

What major interface bug was fixed in NHN 1.93?

A bug in the user interface was fixed, where the context menu and modal messages were not opening or closing properly. This bug, which had persisted in earlier versions, has now been resolved in 1.93.

How does the new pruning system for insights improve NHN's performance, especially for users with limited storage?

The new pruning system helps manage disk space by automatically removing old insights data after a certain period. This is particularly useful for users with limited storage, such as those using smaller machines or ARM-based devices.

What updates have been made to the Google Sheets integration in NHN 1.93?

The update fixes a bug in the Google Sheets integration, allowing users to apply filters with both 'AND' and 'OR' operators, improving the flexibility and accuracy of data manipulation within workflows.

What does the partial execution feature allow users to do in NHN 1.93?

The partial execution feature enables users to execute specific nodes or parts of a workflow without running the entire workflow. This is useful for testing or modifying individual sections of a larger process.

What is the new 'soft delete' feature for workflows in NHN 1.93?

The soft delete feature allows users to archive workflows instead of permanently deleting them. This helps prevent accidental data loss, as users can restore archived workflows if needed before permanently deleting them.

What improvement was made regarding node name normalization in NHN 1.93?

Version 1.93 improves the automatic normalization of node names. This ensures that node names are standardized, making it easier to manage and maintain consistent naming conventions across workflows.

What is the new functionality introduced for Community Nodes in NHN 1.93?

NHN 1.93 introduces a new panel for Community Nodes in the sidebar, making it easier for users to discover, install, and use community-contributed nodes directly from the interface. These nodes now need to be validated before appearing in the panel.