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.
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
- What's new
- What is UnO Agentic AI Builder?
- Installation and Configuration
  This section guides you through installing the UnO Agentic AI Builder.
- Fundamental Concepts
- UnO Agentic AI Builder Components
- Credential Library
- LLM/SLM Profile Library
  - AWS Bedrock Profile
    Use the AWS Bedrock Profile to configure and manage the connection between HCL UnO Agentic AI Builder and the foundation models hosted on Amazon Bedrock.
  - Azure Profile
    Use the Azure Profile to configure and manage the connection between HCL UnO Agentic AI Builder and Azure OpenAI Service. This integration enables your agents to leverage enterprise-grade OpenAI models (such as GPT-4, GPT-3.5-Turbo) hosted securely within your Azure environment.
  - Google Vertex Profile
    Use the Google Vertex Profile to configure and manage the connection between HCLUnO Agentic AI Builder and the Google Vertex AI platform. This allows your agents to securely access and utilize Google's powerful foundation models, such as the Gemini family, for advanced generative and predictive tasks.
  - Ollama Profile
    Use the Ollama Profile to configure the connection between HCL UnO Agentic AI Builder and your self-hosted Ollama service. Ollama is an open-source framework that allows users to run various Large Language Models (LLMs) locally or on a private network, enabling agents to leverage specific, highly customizable, and often smaller models.
  - OpenAI Profile
    Use the OpenAI Profile to configure the connection between HCL UnO Agentic AI Builder and the OpenAI API. This provides your agents with secure access to state-of-the-art foundation models like GPT-4, enabling advanced reasoning, complex content generation, and structured data tasks.
  - Nvidia Profile
    Use the Nvidia Profile to configure and manage the connection between HCL UnO Agentic AI Builder and the high-performance AI Foundation Models and microservices available through the Nvidia platform. This profile enables your agents to leverage models optimized for speed and scale in enterprise environments.
- User Guide
- Tools Library
- Templates Library
- Best practices to Create Agents
- Troubleshooting UnO Agentic AI Builder
- Known Limitations
  This section outlines known limitations and constraints of the current release, helping users understand the boundaries of supported functionality and avoid unintended usage scenarios.
Troubleshooting
Recover your environment if any issue occurs.
Notices

LLM/SLM Profile Library

The LLM/SLM Profile Libraryserves as a comprehensive reference for all model profiles supported by the HCL UnO Agentic AI Builder. This section outlines each option available in the Add Profile dropdown and provides the essential information required to establish functional and optimized model configurations.

For each profile type, you will find:

Purpose: describes the specific capabilities of the AI provider (for example, OpenAI, AWS Bedrock) and the types of Large or Small Language Models (LLM/SML) it supports.
Required Fields: Lists all mandatory configuration settings (for example, specific Model IDs, associated Credentials, and region parameters) needed to successfully activate the profile.

Understanding these details is critical for properly setting up profiles, ensuring compatibility between your credentials and selected models, and enabling the correct cognitive intelligence for your AI agents.