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flow v4.0.0

v4.0.0 was published on .

We are pleased to announce the release of qibb Flow App v4.0.0. This major update focuses on enhancing the AI Copilot and Job Management, boosting app resilience, and improving the overall Flow Editor experience.


Key Highlights

  • Advanced AI Copilot: Experience faster responses with an upgraded AI model, improved diagramming, and enhanced user controls.

  • Strengthened Stability: Significant improvements to error handling, resource management, and database performance ensure a more reliable platform.

  • Improved Flow Editor: New visual feedback for debugging, better readability, and streamlined configuration for a smoother development workflow.


Key Changes in Detail

AI Copilot Improvements

  • AI Model Upgrade: The AI Copilot now uses GPT-4.1-mini, delivering faster responses and higher quality results with expanded context capabilities. This allows the AI Copilot to assist you even while working with bigger flows.

  • Enhanced Diagrams: Improved support for generated Diagrams, including a new download feature for visual representations.

  • New Data Sharing Options: Depending on whether you have selected specific nodes in the flow editor, the new “Auto” mode manages the sharing of only the selected nodes or the full current flow tab. The default configuration for "Share Monitoring Data" has been set to false to boost standard conversations that do not require the analysis of monitoring data.

  • Shared Data Indicators: To improve understanding of the information that was shared and the data access controls that were enabled, small icons are shown next to each user message, indicating the specific data associated with that particular message.

  • Conversation Management: A new "Clear Conversation" option allows users to easily start fresh interactions.

  • Backend Refinements: Revised Copilot AI backend, enhancing security and future compatibility.

  • Copilot Feature Toggle: A dedicated checkbox in the Deployment Wizard now allows for easy enabling or disabling of the AI Copilot.

Job Management

  • Support for Checkpoints: Starting with this app version, job management capabilities can be integrated into a flow by installing qibb’s Checkpoint Nodes, which are available in the Node Catalog. Checkpoints act as control points within your flow, allowing you to observe and manipulate jobs as they progress. They provide a robust framework for managing the lifecycle of your jobs, from initiation to completion or termination.

  • Learn more about this feature here.

Platform Stability & Performance

  • Node.js Upgrade: The Flow App now runs on Node.js v22.13.1, bringing enhanced stability and compatibility.

  • Faster Node Installs: Installing a node now takes significantly less time.

  • Improved Error Handling: The application is more resilient to uncaught asynchronous errors in user-defined function nodes, preventing unexpected crashes and restarts.

  • Reduced Disk I/O: The persistent context flush interval has been increased to 5 minutes, significantly reducing frequent filesystem access.

  • Database Optimizations: Added improved indexes to critical database queries, boosting performance and reducing I/O load, particularly for Job Management functionalities.

  • Resource Optimization: Adjusted default CPU and memory resource limits for various Flow App deployment sizes to ensure optimal performance.

  • Streamlined Logging: Significantly reduced excessive log output from internal status nodes and improved overall hooks plugin logging for clearer insights.

  • Debugging Enhancement: Detailed error messages are now fully present in system console logs, simplifying troubleshooting.

Flow Editor Enhancements

  • Node Activity Highlights: A new built-in plugin visually highlights nodes as messages are processed, offering immediate feedback for debugging flows.

  • Streamlined Linter Settings: Default linter settings have been adjusted to reduce unnecessary warnings in the Flow Editor.

  • Context Variable Reliability: Fixed an issue that prevented the viewing of context variables.

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Questions or comments? You can also find release announcements on Techtriq's GitHub Discussion Board, where you have the option to leave comments.

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