Welcome
Orchestrating
Orchestrate anything with HCL Universal Orchestrator.
Communicating with the AI agent
Communicating with the AI agent using a chatbot interface
If you enable the Published as Chatbot option in the AI agent definition, a chatbot interface for the AI agent is created at the AI Agents section in the UI. You can engage in conversation with the AI agent to access information and get assistance. This type of data flow is only possible with the AI agents that are configured with either basic agent type or Agentic AI builder.

What's new
HCL Universal Orchestrator is constantly evolving to offer you the most comprehensive orchestration capabilities. For known limitations, workarounds, and contact information of HCL Customer Support, see Release notes.
What is HCL Universal Orchestrator
HCL Universal Orchestrator is a cloud-native workload orchestration and scheduling platform built on Kubernetes. Its microservices-based architecture enables the centralized orchestration of multi-cloud and hybrid environments from a single point of control.
Deploying and Administrating
All the information you need to deploy and administrate HCL Universal Orchestrator.
Using the UI
The UI is the HCL Universal Orchestrator interface, from which you can design your scheduling environment and monitor every process.
Orchestrating
Orchestrate anything with HCL Universal Orchestrator.
- Orchestration CLI commands
  You can use the various command options in Orchestration CLI to achieve specific results. The command options are not case sensitive and you can use either uppercase or lowercase letters.
- Workflow definition
  A workflow is a set of tasks to be run, together with times, priorities, and other dependencies that define the processing order.
- Task definition
  A task definition is a unit of work that specifies an action to be performed on specific workstations in the HCL Universal Orchestrator network.
- Event source definition
  An event source is an item that allows HCL Universal Orchestrator to receive events from specific event plug-ins.
- Calendar definition
  Calendars define the days in which workflows do or do not run.
- Folder definition
  You can use folders to organize your items accordingly to your business needs.
- Credentials definition
  Credential definitions are used to store user IDs and passwords, or tokens.
- Variable table definition
  Variables are values that can change according to the purpose of workflows and task templates.
- Workstation definition
  A workstation is a scheduling item that runs tasks.
- Resource definition
  A resource is an item that represents a quantifiable asset, measured in terms of units. You can add resources as dependencies in tasks or workflows.
- Event plug-in structure
- Communicating with the AI agent
  - Communicating with the AI agent using a chatbot interface
    If you enable the Published as Chatbot option in the AI agent definition, a chatbot interface for the AI agent is created at the AI Agents section in the UI. You can engage in conversation with the AI agent to access information and get assistance. This type of data flow is only possible with the AI agents that are configured with either basic agent type or Agentic AI builder.
  - Running the AI agent as a task from the UI
    You can run the AI agent that is configured either in your local environment or in an external environment as a task from the UI. The AI agents configured with either the basic agent type or Agentic AI builder can be run as a task. After the run is completed, you an view the results in the task log.
  - Running the AI agent as a task using Orchestration CLI
    You can run the AI agent that is configured either in your local environment or in an external environment as a task using Orchestration CLI. The AI agents configured with either the basic agent type or Agentic AI builder can be run as a task using Orchestration CLI. After the run is completed, you an view the results in the task log.
- Managing matching criteria
  In this topic you can find a description of matching criteria.
- Parsing OCLI files in streaming
  HCL Universal Orchestrator enables you to add or replace files containing multiple item types through OCLI in a single command.
- Data exchange and transformation
  This topic explains how you can streamline your workflows using data exchange and transformation.
- Changing the default editor for Orchestration CLI
  To customize the editing experience in HCL Universal Orchestrator, you can modify the default editor by setting the visual or editor environment variables.
Orchestrating from Mobile
You can use your mobile devices to manage quickly and easily your whole HCL Universal Orchestrator environment.
Monitoring
Take your environment under control.
Using REST API
Use REST APIs to easily integrate workload scheduling capabilities with external products and solutions.
Administering multitenancy for service providers
Configure and administer a HCL Universal Orchestrator multitenant environment.
Uno AI Pilot
Welcome to the HCL Universal Orchestrator AI Pilot documentation. This resource is designed to guide you through everything you need to know about using UnO AI Pilot effectively. You will find detailed instructions, feature overviews, and helpful tips to ensure you get the best experience with UnO AI Pilot.
UnO Agentic AI Builder
Troubleshooting
Recover your environment if any issue occurs.
Notices

Communicating with the AI agent using a chatbot interface

If you enable the Published as Chatbot option in the AI agent definition, a chatbot interface for the AI agent is created at the AI Agents section in the UI. You can engage in conversation with the AI agent to access information and get assistance. This type of data flow is only possible with the AI agents that are configured with either basic agent type or Agentic AI builder.

Before you begin

You must have created an AI agent. For more information, see Managing an AI agent using the UI or Managing an AI agent using Orchestration CLI.

About this task

An AI agent is a framework that utilizes an AI model (LLM) to interact with a context to obtain a user-defined objective. After you create an AI agent, you can interact with it in a chatbot interface to get the required results.

Procedure

Log in to the UI using valid user credentials.
Select the AI Agents tab from the home page.

All the AI agents that have the chatbot interface function are displayed.
Select the AI agent.
Type your query or request in the text box field, and then click the send icon.
Your conversation with the AI agent is saved and you can always check the history for future reference. The chat history is persisted and rendered in the left-hand panel of the UI.