Welcome
Deploying and Administrating
All the information you need to deploy and administrate HCL Universal Orchestrator.
Managing the AI agent
Managing agent types in the AI agent
You can create an AI agent using three different agent types: External MCP, Basic, and Agentic AI Builder. For the basic agent type you must configure a few attributes in the values.yaml file to connect the AI agent to the AI models (LLM) of each agent type.

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.
- Deploying HCL Universal Orchestrator
  Deploying HCL Universal Orchestrator requires the deployment of all its microservices, the UI, the cloud agent, and optionally, the Orchestration CLI.
- Installing and connecting HCL Workload Automation dynamic agent at version 10.2.3
  You can install agents at HCL Workload Automation to be able to manage all task integrations.
- File integrity and safety with SHA checksum
  Validate the authenticity and integrity of files downloaded from the Download Center ¹ in the UI by verifying their SHA checksums. SHA checksum validation ensures file integrity by comparing the hash value generated for a file, against a unique, pre-generated checksum. Each file in the Download Center is accompanied by its own unique SHA checksum.
- Installing HCL UnO agent
  HCL UnO agent is a versatile on-premises agent that can run all types of tasks with efficiency and reliability. You can configure the properties of the agent to connect it to the agent manager of HCL Universal Orchestrator.
- Installing and authenticating the Orchestration CLI
  Install, authenticate and configure the Orchestration CLI.
- Managing HCL UnO agent in Windows operating systems
  You can manage the agent by using scripts that are generated while configuring the agent or by daemon script. It is recommended to use any method for ideal cohesion and efficient administration.
- Managing HCL UnO agent in Unix operating systems
  You can manage the agent by using scripts that are generated while configuring the agent or by daemon script. It is recommended to use any method for ideal cohesion and efficient administration.
- Managing the AI agent
  - Managing an AI agent using the UI
    You can create an AI agent by integrating workflows and Large Language Models (LLM) in a single platform. You can then communicate with the AI agent either using a chatbot interface in the UI or by running the AI. You can interact with the AI agent either from the AI Agents section in the UI or you can create tasks to run the agent.
  - Managing an AI agent using Orchestration CLI
    You can create an AI agent of basic agent type using Orchestration CLI. After you create an AI agent, you can run it as task or communicate with the agent using the chatbot function to get the required results.
  - Managing agent types in the AI agent
    You can create an AI agent using three different agent types: External MCP, Basic, and Agentic AI Builder. For the basic agent type you must configure a few attributes in the values.yaml file to connect the AI agent to the AI models (LLM) of each agent type.
  - Course of action if the agent type is External MCP
- Managing Workload Security
  You can manage security settings in your environment from the Orchestration CLI and from the UI.
- Configuring a user registry
  In this topic you can find information about how to configure a user registry.
- Keeping track of changes in your environment
  Administrators can request to specify a justification when saving or editing items to keep track of the changes in your environment.
- Managing multitenant security
- Policy-driven plan
  The new HCL Universal Orchestrator policy-driven adaptive plan makes your workload more autonomous, dynamic and scalable.
- Managing time zones
  In this topic you can find information about managing time zones.
- Observability
  Using third-party tools to monitor 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.
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

Managing agent types in the AI agent

You can create an AI agent using three different agent types: External MCP, Basic, and Agentic AI Builder. For the basic agent type you must configure a few attributes in the values.yaml file to connect the AI agent to the AI models (LLM) of each agent type.

Basic agent type

To use the LLM for the basic agent type, you must enable the GenAI service. Then you can use either the services deployed on cloud by HCL Software or utilize your existing licenses (BYOL) with cloud service providers to access the service.

HCL Software supports LLMs offered by Google Cloud Platform (GCP).

You can also set up any LLMs offered by the cloud service providers configured in your local environment. The HCL Universal Orchestrator environment supports cloud service providers such as Vertex AI, OpenAI, and Bedrock and you can utilize any LLM provided by these platforms.

To set up the AI models provided by HCL software, complete the following step in the values.yaml file:
1. In the genai section, set the enable attribute to true.
2. Ensure the internal attribute is set to default value false.
AI models or LLMs hosted in GCP by HCL software are displayed in the drop-down list for the model field, after you select the agent type as Basic.

To set up the AI models of your choice, complete the following steps in the genai section of the values.yaml file:
1. Set the enable attribute to true.
2. Set the internal attribute to true.
3. Integrate any LLMs available from the machine learning platforms like Vertex AI, OpenAI, and Bedrock. In the values.yaml file each platform has dedicated fields for adding their respective LLMs. For more information, see values.yaml.
4. In the cloudCredentials section, fill in the fields for your chosen cloud service provider (GCP, AWS, Azure, or OpenAI). Each provider has distinct fields to complete. For more information, see values.yaml file with description for each attribute.
After the completion of these steps, all configured LLMs are now connected to the HCL Universal Orchestrator. After selecting the agent type as Basic for creating an AI agent using the UI, you can view all these LLMs in the drop-down list for the model field.