AI Agent Asset Bundle migration API
- To explore Asset Bundle migration via the Control Tower user interface, refer to the guide.
- To explore Asset Bundle migration via the Control Tower user interface, refer to the guide.
Problem definition
A crucial aspect of installation and further support is implementing a Use Case so that you can change any setting outside of the implementation code without recompiling, updating, or re-deploying your Use Case. Typically, this is achieved by making your configuration external to the source code.
Form Builder is used to design configuration windows. To access it, go to /task-designer/builder.
Data flow
For Use Case implementation, ODF 2 employs a standardized extendable Data Model. The model features a list of tables with dynamically defined names and specified naming conventions, enabling ETL (extract, transform, load) procedures to manage data properly. All pre-defined columns in these tables are set to be processed by WorkFusion Analytics automatically.
Intelligent Automation Cloud is Use Case centric. Control Tower users now have a new point of view to their automation
Major technical concerns of Use Case delivery
The instruction describes running, stopping, and scheduling Business Processes based on the ODF 2 Full Archetype.
Each project you create from an ODF Archetype includes an [ARTIFACT]-package module. Inside the module, the resources directory contains a pre-configured structure where you can put Use Case assets for further deployment to Control Tower (CT).
Spoke is a tool for end-to-end Business Process testing. It provides fluent APIs for a developer to achieve typical testing goals. The framework is built on the JUnit 5 + AssertJ ecosystem, but the core module does not depend on it and can be used as a pure Java library.
Intelligent Automation Cloud provides a centralized place to configure Use Cases. The feature is optional, and you can still develop Use Cases as previously. For pre-packaged Use Cases, the requirement is to be distributed via the Solution Catalog and allow intuitive and effective configuration from a centralized location.
The information in the article relates to the low-code approach of creating AI Agents using IA Cloud Developer.
Problem context
You can version Data Stores that make your Data Model just like all other Assets of your project. However, increasing a Data Model version each time you release a new Use Case version means that your Intelligent Automation Cloud environment ends up having many Data Store instances.
Intelligent Automation Cloud Developer (IA Cloud Developer) is a part of WorkFusion IA Cloud Enterprise and provides a unique automation environment to evaluate, learn, design, create, and support automation projects.
To illustrate how user Transactions are created and processed, let's simulate a simple scenario for a Business Process (BP) consisting of two Bot Tasks: