PhariaAI v1.250800.0

Cross-Product Features

With this release, developers can deploy PhariaAI applications built in PhariaStudio and manage access for PhariaAssistant users, all from the same project workspace. This closes the loop between development and secure production use as developers can confidently roll out applications while ensuring only authorized end-users see them in PhariaAssistant.

User-Level Access Management for PhariaAI Applications: Secure Deployment from PhariaStudio to End-Users

Availability

On-premise and hosted

Existing applications will be migrated to individual projects as "private" applications. This will cause existing applications to not appear in PhariaAssistant for non-Admin users after you upgrade to this version of PhariaAI.

To restore global access, request an Admin user to update the usecase definition using the PhariaOS API to set the isPublic flag. The usecase must retain the "projectID" association to maintain granular access control in the PhariaStudio UI.

With this release, developers can now deploy PhariaAI applications built in PhariaStudio directly from within PhariaStudio, and define which PhariaAssistant users should have access to them — all in the same project workspace. This closes the loop between development and secure production use as developers can confidently roll out applications while ensuring only authorized end-users see them in PhariaAssistant.

Key Benefits:

  • Seamless Dev-to-Prod Deployment: Deploy applications built with the PhariaAI framework directly from PhariaStudio.

  • Granular Access Management: Assign and manage access at the individual user level — avoid uncontrolled exposure of applications.

  • Improved Data Governance and Compliance Readiness: Meet data access policies by ensuring applications and their underlying services/assets are only accessible to approved users.

The PhariaStudio UI can be used to view all deployed applications in the project, adjust access permissions, or roll back the changes as needed. Access control settings are enforced across both the PhariaAssistant UI and the PhariaOS service layer, ensuring full alignment across the PhariaAI stack.

Group-level, role-based, and component-level access control (such as data level or model level of an application) are not supported in this release.

External PhariaInference API Connectors: Extend PhariaAI with External OpenAI-Compatible APIs

Availability

On-premise and hosted

We’re introducing external PhariaInference API Connectors - a new capability that allows PhariaAI administrations to set up the PhariaInference API in such a way that for selected models, user requests are routed from the PhariaInference API scheduler to external OpenAI-compatible APIs.

This allows organizations to supplement their on-prem model capacity by integrating external inference backends. All requests continue to go through the Aleph Alpha PhariaInference API, preserving IAM, queueing, endpoint standards, and other platform-level benefits — with no changes required on the client side.

Key Benefits:

  • Bridge GPU Gaps: Forward inference requests to external OpenAI-compatible APIs when on-prem compute is insufficient.

  • Seamless Integration: Users interact with external models just like any other model on the PhariaAI platform — no changes to client code.

  • Full Feature Continuity: Retain IAM, queueing, and endpoint standardization features of the PhariaInference API.

For further information, see the documentation.

This feature currently requires OpenAI-compatible external APIs; integration with non-standard APIs is not supported.

PhariaAssistant

In this release, we introduce backend support for comprehensive UI customization of PhariaAssistant. You can now personalize PhariaAssistant’s interface to match your company branding.

We continue to develop new features for our agentic chat feature, which is currently available only in beta mode. Due to upcoming changes, some features in the beta mode may become unstable. We recommend for production use that system administrators keep the Helm chart toggle "Try beta features" disabled by setting NLS false (this is already the default). If you wish to learn more about the beta chat, please contact your delivery manager.

Global UI Customization (Backend): Personalize PhariaAssistant to match your brand

Availability

On-premise and hosted

We’re introducing Global UI Customization, a new feature that allows admins to tailor the PhariaAssistant interface to reflect their organization’s visual identity. With a dedicated API, companies can set logos, a name, theme colors, fonts, helpful links, and more.

With the introduction of this feature, Helm chart-based UI customization will be deprecated soon. All future UI configuration should be handled with the API. Please plan your development accordingly.
PhariaAssistant backend customization
PhariaAssistant backend customization

Key Benefits:

  • Aligns with brand guidelines: Makes PhariaAssistant match company branding, boosting trust and adoption.

  • Feels like part of daily tools: Increases user comfort by blending visually into existing branding.

  • Flexible, no extra dev work: Lets admins adjust logos, colors, and fonts easily.

In this release, there is no dark mode, no UI configuration panel, no multi-brand support, and the available styling applies only to the UI shell — not to the PhariaAssistant output. Also, font choices are limited.

PhariaOS

In this release, we’re improving the Dynamic Model Management feature by including support for fully finetuned models. This helps you bring custom models into production faster and with less operational overhead.

Dynamic Model Management v2: Deploy Fully Finetuned Models

Availability

On-premise and hosted

We’re expanding Dynamic Model Management (introduced in the 1.250600.0 release) with the ability to deploy fully finetuned models directly from PhariaStudio using the PhariaOS API — no infrastructure changes or DevOps support required.

Full finetuning involves updating all of a model’s weights, resulting in a checkpoint that is the same size as the original model. The alternative that is not supported with this addition is Parameter-Efficient Fine-Tuning (PEFT) methods (LoRA, BitFit, etc.)

This unlocks a fully integrated finetune to deploy workflow within the PhariaAI ecosystem, streamlining model iteration and production deployment.

Key Benefits:

  • Deploy finetuned models easily: Expand your LLM choices without extra DevOps work or infrastructure setup.

  • Integrated workflow: Finetune and deploy seamlessly with PhariaStudio and PhariaOS backend with the SDK.

This feature is currently available only through the PhariaOS API. There is no UI support yet; in particular, deployed finetuned models do not appear in the PhariaOS Model tab.

Accessibility enhancements for PhariaAssistant

PhariaAssistant Portal:

  • Improved keyboard navigation and overall accessibility compliance:

    • ESC key handling

    • Proper labeling

    • Corrected tab order

  • Enhanced internationalization support with consistent translation fixes across multiple components.

  • UI and UX refinements:

    • Optimized heading structure for screen readers

    • Improved responsive sidebar behavior

    • Enhanced high contrast mode support

  • Implemented focus trapping for modal dialogs to prevent interaction with background elements.

Frontend Library:

  • Extended accessibility improvements:

    • Unified keyboard interaction patterns

    • Resolved ARC Toolkit-reported accessibility violations in dropdowns, file upload, and sidebar components

  • Improved responsive behavior and ensured ARC Toolkit compliance across core components

Other updates

  • Minor bug fixes & improvements

  • Minor security enhancements

  • Minor performance and stability fixes