AI-Powered Assistance for Enterprise Architect
1. Getting Started Applies to: All Users What is Kernaro Assist? Kernaro Assist is a desktop add-in for Enterprise Architect (EA) that brings AI-powered assistance directly into your modeling environment. You can: Prerequisites Requirement Details Enterprise Architect Sparx Systems Enterprise Architect must be installed Kernaro Assist Add-in The Assist add-in must be installed and enabled in EA Activation Either a Hub connection (OIDC […]
Docker Installation & Sandbox Setup Guide
This document explains how to install and configure Docker for Kernaro AI, which uses containerized execution to securely run Code Nodes inside an isolated sandbox environment. Windows Edition Requirements Docker requires a Windows edition that supports virtualization and Windows containers. Supported Editions: ⚠️ Windows Home edition does not support Windows containers. Check your Windows edition: systeminfo | findstr /B /C:”OS Name” Copy […]
Intelligent Flows in Kernaro
Overview Intelligent Flows in Kernaro are agentic workflows that allow users to automate multi-step reasoning, data transformation, and system integration processes. These flows connect multiple components, ranging from data inputs and LLM-based processing to EA tool interactions and output generation within a single, guided execution path. Each flow consists of a sequence of nodes, where each node performs a specific task such […]
Batch LLM Configuration Guide
Batch LLM Overview Batch LLM is designed to handle complex and large-scale processing scenarios within workflows by enabling asynchronous, batch-based inference. This approach is particularly useful when dealing with high-volume data or operations that require efficient, non-real-time execution. For most LLM providers, the configuration remains consistent with the standard setup. However, when using AWS Bedrock, additional configuration […]