Agent Editor

Introduction

The Agent Editor module enables users to develop, test, and optimize their GenAI use cases by creating effective agents that interact with large language models (LLMs). With the Agent Editor module, you can define Agents at design time in the Studio Pro (11.9.0 and above), and manage their lifecycle as part of your project by taking advantage of existing platform capabilities such as model documents, version control, and deployment capabilities. You can define and develop Agents locally and consecutively deploy them to cloud environments directly with the app model.

The Agent Editor is compatible with the Agent Commons module. Using this module, you can define and manage prompts, microflows (as tools), external MCP servers, knowledge bases, and large language models to build agentic patterns that support your business logic. Additionally, it allows you to define variables that act as placeholders for data from the app session context, which are replaced with actual values when the end user interacts with the app.

The Agent Editor module includes a Studio Pro extension that allows users to define GenAI Agents as documents in the app model. The Agent Editor Commons module, which is installed as part of the same package, includes logic and activities to call these agents from microflows in a running application.