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
- 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

SQL Query Executor Tool

The SQL Query Executor Tool enables your agent to run SQL queries against a configured relational database and return the results. This tool supports read and write operations and can be used to retrieve data, insert records, or perform updates as part of an agent's workflow, facilitating data-driven automation and decision-making. It also provides feedback on query execution.


Field	Description
*Indicates mandatory field
Name*	A unique, user-defined name for this instance of the SQL Query Executor Tool. This name is used by the agent to invoke the tool during runtime.
Description*	Describes the purpose of this tool instance. Helps users understand its role in the agent’s workflow. Example: Use this tool to fetch customer data from the PostgreSQL database.
Database Type*	The type of relational database the tool will connect to. Supported values typically include PostgreSQL, SQLite. Select the correct type to ensure proper query execution.
URL*	The JDBC or database connection string required to access the database. This should include the protocol, host, port, and database name. Example: jdbc:postgresql://db.example.com:5432/analytics
Credentials to connect with (appears when you select Postgres in the Database Type field)	Select the database credential that provides authenticated access. The credential must include valid username, password, and optionally SSL configuration, depending on your environment. Note: Refer to the Adding a Credential section for steps to configure this.