Version 2.3.4 | June 26, 2025

Overview

ZBrain Builder 2.3.4 delivers faster flow building, streamlined operational oversight, safer and more expansive automation, refined monitoring, and greater agent transparency. Together, these upgrades help teams develop, operate, and monitor enterprise-grade AI solutions more responsively, efficiently, and intuitively. The release packs several new features and targeted improvements that further elevate user experience and productivity.

ZBrain 2.3.4 release overview

These enhancements collectively streamline workflow creation, boost operational efficiency, and deliver greater transparency for enterprise-grade AI deployments.

New features

Flows & Pieces

Auto-scrolling on the Flow interface during component dragging

The Flow interface now automatically scrolls whenever a component is dragged toward any edge, allowing it to move in all directions. Precise snap-to-grid placement is preserved, and the feature works seamlessly with existing zoom and pan capabilities, eliminating the need for manual scrolling on large or complex flows.

Key outcomes:

• Auto-scroll activates when dragging within the interface edges.

• Speeds up flow editing and provides a smoother design experience, especially when working on flows that extend beyond the visible screen area.

• Maintains precise positioning and snapping of components.

• More intuitive, efficient, and seamless experience for users building complex workflows.

Integrations

Standalone executable of Resume Screening Agent

Users can now export the Resume Screening agent as a single, self-contained .exe (no installer, no extra folders). Navigation: Resume Screening Agent › ⋮ (More) › Download Agent

Key outcomes

• Delivers complete resume screening functionality without internet access, preserving full feature set.

Evaluation framework

Monitor

Real-time status for agent events

This feature adds a “Processing” status to the monitor dashboard for agent events that have been triggered (e.g., by a cron job) but have not yet posted logs. This provides real-time visibility into execution progress before results are finalized. Once logs are posted, the status should automatically update to “Success” or “Failed.”

• Navigation path: Monitor → Events → Last Status(Column)

Key outcome:

• The processing status confirms an event is in progress, removing guesswork when monitoring large or scheduled workflows.

Bulk delete for monitor logs

Users can now select and delete multiple event logs at once from the Monitor Events screen. This replaces the previous one-at-a-time deletion model with a faster, more scalable option.

• Navigation Path: Login → Monitor → Events → (Event Checkboxes)

Key outcome:

• Improves productivity and log hygiene for users managing high volumes of events.

New evaluation metric – "Health Check"

Users can now include the Health Check metric in evaluation from the Non-LLM Metrics suite. It verifies that an agent or app is reachable by checking the HTTP response status and can trigger notifications when they are configured.

• Navigation Path: Monitor → Events → (Click on any ‘Event’) → Event Settings → Add Metric → Non-LLM Metrics → Health Check

Key outcome:

• Offers a simple yet powerful monitoring metric to validate system uptime and API responsiveness, without requiring LLM-based evaluation or complex configuration.

Guardrails

Parameter-specific configuration files

Each monitored parameter (such as input and jailbreak) now has its dedicated .yml file (e.g., input.yml, jailbreak.yml). These files are generated and versioned independently and stored in a private S3 bucket. Only users with required credentials can access those files.

• Navigation: App → Create App → Add guardrail parameter → Select Guardrails → Enable as per requirement → Complete App Creation → Test Bot Performance

Key outcome:

• Improves maintainability and makes it easier to audit or update specific evaluation rules without impacting the entire configuration.

• Filters data based on context-specific rails through the Guardrails service.

Dynamic query processing via Guardrail service

The query engine detects the context (e.g., input vs. output) and sends the relevant .yml reference to the Guardrails service. The Guardrails service will then process and filter responses accordingly.

Key outcome:

• Enables context-aware response filtering that returns a validated response to the main flow.

RAG

RAG definition locking based on the initial KB definition

The Data Refinement Tuning page now shows only the RAG mode defined when the Knowledge Base was created, providing an intelligent UI behavior on the page. If a KB is initially created using Knowledge Graph, the Vector Store option is hidden for all subsequent document uploads under that KB and vice versa.

Key outcome:

• Enforces consistent RAG architecture within a KB, avoiding misalignment or mixed retrieval strategies.

• Reduces user confusion and prevents configuration errors during document ingestion.

Agents

Inclusion of Google Search in Agent default tools

This feature adds real-time search capability to agents, allowing them to retrieve current information directly from Google.

• Navigation path: Define Crew Structure → Select Agent → Agent Tool → Default Tools-> Google Search

Key outcome:

• Agents gain real-time web access, enhancing their ability to deliver timely and relevant responses.

ZBrain Flow integration with Crew Agent

ZBrain Builder now integrates ZBrain Flows into Crew Agent, enabling users to add flow-based agents. Agents can trigger a ZBrain Flow and use its response to guide their next actions.

• Navigation path: Define Crew Structure → Add Agent → Add from Library → ZBrain Flow

Key outcome:

• Seamlessly integrates advanced internal workflows into agent logic, enhancing automation and flow-based decisioning.

Addition of packages in the Crew Agent Tools

Users can now add external dependencies (e.g., npm packages) directly to an agent’s tool. On clicking ‘Add’, the latest version of the package will be automatically added to the tool's list of dependencies. This supports automatic version resolution and easy rollback.

• Navigation path: Define Crew Structure → Select/Add Agent → Agent Tool → New Tool / Select from My Tools → Add Package

Key outcome:

• Improves tool extensibility and supports custom agent logic through external libraries.

Visibility of Agent Type in the interface

The agent type (Supervisor, Autonomous, or ZBrain Flow) is now clearly displayed in the agent interface in an agent crew structure.

Key outcome:

• Enhances crew transparency and helps users quickly identify the role and behavior of each agent.

Improvements

Integrations

Expanded upload file type support in the agent dashboard

ZBrain now supports image formats (PNG, JPG, JPEG), in addition to the existing formats: PDF, TXT, CSV, JSON, DOCX, PPTX, and XLSX.

Key outcome:

• Supports a wider variety of input data without requiring pre-processing or format conversion.

Smart validation and feedback

Each uploaded file is validated for integrity and supported file type.

• Invalid or corrupt files are blocked with clear error messages.

• Unsupported formats (e.g., .exe, .zip) are automatically rejected with "Unsupported Format" warnings.

Key outcome:

• Reduces user errors and ensures a smooth file submission experience.

Enhanced UI experience with file previews

Image files show a thumbnail preview or filename confirmation after upload. Other files (e.g., DOCX, PDF, CSV) display their filename for quick verification.

Key outcome:

• Provides visual confirmation that the correct files were uploaded, improving confidence and efficiency.

Reliable task execution across all supported formats

Uploaded files (across supported types) are correctly processed during task submission. The pipeline handles input ingestion based on file type, ensuring seamless execution of the agent.

Key outcome:

• Guarantees consistency in agent behavior regardless of input format.

SaaS

Seamless scrolling for knowledge storage

Automatically loads more storage items as the user scrolls toward the bottom of the list. Seamless scroll experience with no page reloads or buttons.

• Navigation path: Settings → Billing → Knowledge Storage

Key outcome:

• Provides a faster and smoother browsing experience for users managing extensive knowledge storage records, thereby enhancing data accessibility and overall user efficiency.

Guardrails

Enhanced observability and debugging

System logs now include configuration details, the response before and after filtering, and any errors encountered during rule parsing or execution.

Key outcome:

• Provides full transparency for auditing and debugging, making it easier to trace filtering outcomes and diagnose misconfigurations.

Agents

Usability enhancements

• Quick message shortcut: Users can use Ctrl+Enter to send a quick message in Test Crew.

• Instruction editing: Deleting an instruction now clears only the text, not the entire agent from the Crew.

Key outcome:

• Improves testing efficiency and reduces accidental agent deletions during edits.