Helvia.ai Release 5.79.0

04 June 2025

1. "Default Responses" tab renamed to "Default Flow"

We've updated the "Default Responses" tab to "Default Flow" to better reflect its versatile functionality within the helvia.ai platform. This change allows authors to utilize the Default Flow feature to streamline user interactions efficiently.

Previously used for handling missed queries, Default Flow now acts as a guide, directing users to specific processes or tasks. This ensures a seamless and effective user journey, enhancing engagement and efficiency.

2. Improved Handling of Missing Translations in Nodes

Helvia.ai now ensures a smoother experience when content translations are incomplete. Previously, if a secondary language version of a node was missing, it might not display correctly. With this update, if content is absent in a secondary language, the node will automatically show the content from the primary language instead.

3. Enhanced XLSX Export Functionality

Effortlessly manage large dataset exports with our improved handling of Excel’s row limits. When exporting data to XLSX format, any dataset exceeding Excel's maximum of 1,048,575 rows will now seamlessly continue in a new sheet within the same file.

4. Enhanced Deployment Snippet Copying Experience

We have streamlined the deployment process with an improved Snippet Copying feature. Each snippet now features a convenient Copy icon button, similar to the one in our Rich Text Editor, making it easier to implement the code. Simply locate the snippet you need and click the Copy icon to quickly copy the code. Then, follow the provided instructions for inserting the code into the correct sections of your webpage for seamless chatbot deployment.

5. Enhanced Input Validation and Error Handling for Adaptive Cards

Improved input validation and error handling are now available for Adaptive Cards, specifically for Input Collection nodes with a "Date" question type. This ensures more accurate and reliable data collection by validating dates.

6. Configurable "Show Typing Indicator" for LLM Nodes

We're introducing a new configuration option for LLM Nodes: the "Show Typing Indicator" checkbox. This enhancement allows you, as an author, to control the display of typing indicators in the runtime environment, enhancing user experience and engagement during interactions.

Enabling the typing indicator can make interactions feel more dynamic and responsive to end-users, providing visible feedback during AI processing times. Choose whether to display the typing indicator by simply checking or unchecking the box in the LLM Node configuration. This allows you to tailor the user experience according to specific application needs.

Note: For all new LLM Nodes, the "Show Typing Indicator" option is set to checked (true) by default to ensure a responsive interaction out-of-the-box. Existing nodes are treated as having this option enabled by default, with no migration required, ensuring a seamless transition.

Bug Fix: Consistent Color Display on Hover for CSAT Analytics

We've resolved an issue where the Customer Satisfaction (CSAT) score sections displayed inconsistent colors when hovered over. Previously, if a metric was negative and appeared red, it would change to a neutral yellow upon hovering. Now, the color remains consistent, ensuring clarity and accuracy in representing scores.