# Release Notes

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**Gen-AI – Enhanced User Interaction**

* Implemented streaming responses to enable real-time reply generation for a faster and smoother chat experience..
* Each agent now retains its own chat history, maintaining conversation context for improved personalization.
* Displayed the active model name in the chat interface to enhance transparency and user understanding.
* Added notifications for agent pods triggered by key lifecycle events, enhancing monitoring and awareness.
* Fixed a restart issue in Chat Playground caused by a missing resource key in the deployment YAML.

**Infrastructure Flexibility and Control**

* Introduced support for secondary clusters under existing primary clusters, enhancing scalability and management flexibility.
* Enabled edit and delete functionalities for additional datacenters, simplifying infrastructure operations.
* Updated the BareMetal Cluster table UI to visually align with AKS and EKS layouts for a consistent design experience.
* Fixed cluster deletion issues for AKS and EKS clusters to ensure reliable infrastructure management.

**AI/ML Development Improvements** 

* Added AI inference sharing, allowing users and teams to securely share inference results across the platform.
* Simplified plan creation by removing the redundant *Type* field, enhancing the user experience.
* Decoupled storage configuration from the plan creation process, providing greater flexibility and clarity for developers.
* Improved UI responsiveness for Spawn buttons and disabled the Info Panel by default for a cleaner interface.
* Resolved plan visibility issues in the AI-API section to ensure all active plans display correctly.
* Added SDK support to attach datasets directly to selected datacenters, enhancing data management and mapping.

**Platform Security Enhancements**

* Upgraded Harbor to the latest version to improve container image security and stability.
* Enhanced the Kubectl microservice with complete role-based access control (Developer, Admin, User) for secure operations.
* Fixed workstation event triggers to ensure accurate execution of start and stop events.
* Corrected KD log mapping between models and pipelines for accurate tracking and debugging.
* Consolidated client and server logs for improved traceability and faster issue resolution.
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{% tab title="Basic 1.3.6" %}
**AI Agents – Agentic Framework**

* Deploy, configure, and manage agents effortlessly within the platform.
* Agents can now connect directly with Large Language Models for intelligent decision-making and automation.
* Agents work seamlessly across multiple services, ensuring reliability and scalability in real-world use cases.
* A dedicated interface allows intuitive interaction with agents, making integration and communicating with the agent smoother than ever.

**SDK & AIMC Improvements**

* Resolved orchestration issues during deployments to ensure smoother operations.
* Addressed user management issues, ensuring consistent org-level user creation and assignment.

 **Launcher & Infrastructure Flexibility**

* The Launcher now supports image uploads during provisioning, enabling greater customization.
* Expanded validation ensures both cloud-based and bare-metal clusters operate seamlessly within the platform.
* Improved failover handling with clearer issue resolution for uninterrupted continuity.

**CaaS (Container-as-a-Service) Reliability**

* Resolved critical issues that caused ML-flow saved models to fail during containerization.
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{% tab title="Basic 1.3.5" %}
**Smarter Infrastructure, Greater Control**

* Multiple datacenter support is now native, whether it’s a cluster or a single-node instance.
* Object stores are linked to individual datacenters, enabling efficient storage management.
* Bucket mounting is datacenter-specific for better isolation and performance.
* Select your target data center when spawning workstations, microservices, creating datasets, and other managed services.
* Launch datacenter-specific Plans to optimize workloads per region or deployment strategy.
* Monitor all datacenters in real-time, directly from MicroCloud.
* Gain a complete view of system health, GPU, CPU, memory usage, active users, services, and resource availability.

**Gen-AI Workspace, Now Sharper**

* Knowledge Distillation now supports embedded model references and multi-modular datasets, including PDFs.
* Reuse running model instances from the Chat Playground for distillation workflows.
* A new organizational dropdown makes reusable model selection fast and intuitive.

**Launcher, Now with More Power**

* Deploy reliable/remote clusters directly through the Launcher.
* Seamlessly bring your own clusters, such as EKS or AKS, and register them as full-fledged data centers.
* Once integrated, these data centers are fully accessible and manageable within the platform.

**Better UX, Tighter Feedback, and a Bug Bounty to the team!**

* Fixed service creation issues with additional port configurations during microservice edits.
* Smoothed out form validations for a cleaner interaction.
* Improved pop-up notifications for instant clarity.
* Plans now have visibility control; share them as public, private, or organization-specific.

**SDK, Enhanced for Gen-AI Workflows**

* The Gen-AI Toolkit supports seamless text generation using pretrained models.
* Built-in SDK utilities allow the retrieval of historical chat data from object storage for smoother session management.

**Bugs**

* Extra ports added via the *edit* feature don’t create a Service, but ports defined during microservice deployment do.
* Pop-up alerts for unfilled form fields improve user experience.
* Private plans can be set as *Public*, *Private*, or *Organization-only*, giving users flexible privacy controls.
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{% tab title="Basic 1.3.4" %}
**Knowledge Distillation in Gen-AI Workspace**

* Our most significant addition in this release is the Gen-AI Workspace featuring Knowledge Distillation:
  * Automatically extracts key insights by generating question-answer pairs from uploaded documents
  * Computes and stores vector embeddings for intelligent document interactions
  * Enables fast, context-aware AI responses across large knowledge bases
  * This workspace lays the foundation for next-level productivity and intelligent automation.
* Secure API Key Management (for Gen-AI Workspace)- (The Gen-AI Key)
  * To enable secure and flexible use of Gen-AI Workspace features — both internally and through SDKs or external access:
    * API keys can now be generated, validated, and revoked directly from the credentials tab
    * Built-in checks for expiry, revocation, and hash-based validation
    * Each key is linked to a user and tracked via audit logs for accountability

**SDK improvement**

* We have integrated API key authentication into our SDK, and we have also implemented Chat interactions as mentioned below.
  * API Key-based Authentication
  * Completion API integration
  * LLM pretrained models list
  * LLM Chat integration: Only getting answers to a question. No history of chats

**Monitoring Enhancements**

* Pod-Level GPU Monitoring
  * View real-time GPU metrics at the pod level for detailed usage insights
* Storage Monitoring & Alerts
  * Track storage consumption with alerting support for high-availability environments

**UI Improvements (Dark Mode Compatibility)**

* Dark mode visibility issues have been addressed across:
  * Checkboxes, inputs, selects, and form elements
  * Header, documentation icons, and section labels

**Infrastructure & Reliability Updates**

* Improved system stability and compatibility across deployment environments
* Better performance and flexibility for managing object storage and file operations

**Bug Fixes**

* Resolved multi-GPU training issues for large model fine-tuning
* Numerous improvements across logging, environment validation, and file handling
* Support tickets answered at a high priority and resolved as requested.
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{% tab title="Basic 1.3.3" %}
**GenAI Workspace - The Hottest New Feature!**

* Seamless AI Collaboration: Introducing the GenAI Workspace, a powerful environment for teams to interact with AI models in real time.
* Enhanced AI-Assisted Development: Users can leverage AI-generated insights to accelerate coding, debugging, and problem-solving.
* User-Friendly Interface: A streamlined UI designed for efficient interaction with AI-powered tools.

**Automation for Workstation to Microservice Conversion**

* Effortless Transformation: Automates the process of converting Workstations to Microservices using ZBL-CLI.
* Streamlined Workflow: Enhances efficiency by reducing manual intervention.

**UI Enhancements & AIM Improvements**

* Improved Navigation & Usability: Streamlined UI for a smoother experience.
* Enhanced File Management: Users can now observe uploaded files.
* Environment Variable Validation: Ensures all variables are checked before execution.
* Configurable Info Cards: Option to enable/disable the info card.
* Custom Upload Support: Users can upload their own profile pictures.
* Better Form Validation: Improved checks for file uploads.
* Revamped Email Templates: Enhanced readability and engagement.
* Edit Feature improvement:
  * A bucket can be attached to any already spawned/running workstation/microservice using the edit feature
  * The ability to attach an extra PVC attachment to the workstation/microservice has also been introduced

**Infrastructure Enhancements**

* Terraform Script Updates: Improved automation for cloud infrastructure provisioning.
* AWS Integration: Enhanced support and optimization for AWS deployments.
* Azure Integration: Improved compatibility and performance for Azure environments.
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