Helvia.ai Release 5.83.0

30 July 2025

1. Enhanced Variable Management with Constant Property

We are pleased to introduce an enhancement to our variable management system, offering greater control and clarity for the Helvia.ai Platform users. The introduction of a "constant" property allows you to distinguish between variables that are constant and those that can be adjusted at runtime, streamlining the process of managing data across sessions.

With this change, "Static Variables" are now simply presented as "Variables," aligning terminology across the platform for consistency.

A new checkbox field in the variable creation/edit form lets you specify if a variable is constant.

A "Constant" column in the variable table displays an interactive toggle, providing quick insights into your variable settings.

2. Enhanced Article Grouping for Knowledge Base Import

With our new update, imported articles will accurately retain their designated groups, ensuring consistency and efficiency. Articles are automatically assigned to the correct groups based on the import file. Existing groups are identified by their Group ID or Group Name, allowing for a smooth transition during import. In cases where a group doesn't exist in your current KB, the platform will create it using the Group Name from the import file.

3. Consistent Article Tagging for Knowledge Base Exports/Imports

Our latest update guarantees that all tags are consistently maintained during KB exports and imports. Every article's tags are included in the KB export file, ensuring no detail is lost. During import, tags are automatically restored to their respective articles, maintaining consistency and accuracy. Imported articles will display the correct tags in the user interface, reflecting their original state.

4. Supporting Variables in LLM Node Model Configuration

With this release we are introducing the support of variables within the LLM Node's model configuration. This enhancement empowers AI agent designers to streamline their workflow by utilizing reusable variables. Now, you can dynamically configure models at runtime without the need to hard-code values, enhancing flexibility and reducing errors.

How this helps:

Imagine you are deploying an AI agent designed to support multiple departments within your organization, each requiring a tailored model configuration. With variable support, you can effortlessly switch between configurations by referencing department-specific variables, enhancing your agent’s adaptability without rewriting configuration files.

5. Introducing the ‘Semantic Search’ Node

We are excited to introduce the ‘Semantic Search’ Node within the Helvia.ai Agent Platform. This is an Advanced Feature that enhances your ability to perform semantic searches efficiently within a pipeline, using configurable settings to tailor the experience to your specific needs.

Get in touch with the Helvia team if you would like to enable this.