DO NOT DIRECTLY EDIT THIS TICKET.

WARNING: THIS TICKET IS PUBLIC.  THE RESULTING CLONED TICKET'S SECURITY LEVEL CAN BE CHANGED IF NECESSARY.

This template ticket can be cloned by developers and contributors to Red Hat's AI projects to request that new or updated packages be included in the AIPCC builder system.  Please follow the instructions below.

Instructions:

1. Read the attached [^Red Hat AI Python Packaging Best Practices.pdf] to verify that your package meets the AIPCC team's packaging requirements. Packages not meeting these requirements will be rejected.
2. Run "AIPCC Clone Epics and Children" (under the 'More' menu) to duplicate this template ticket and its children. (Most Jira users do not have permission to do that using the default  "Clone Epic and Children" operation.)
3. Update the "Reporter" field to your name instead of the owner of the cloned ticket.
4. Update the <name> field in the Summary of the cloned ticket.
5. Update the <name> field in the Epic Name of the cloned ticket.

Please use one package per ticket.

The ticket assignee may request additional information in the cloned ticket.

The text above this line can be deleted from the cloned ticket.

📋 New Package Request for AIPCC

This form is for requesting new Python packages to be built and added to the AIPCC Package Index. Please provide as much detail as possible.

1. Requester Information

• Team / Project:
  (The team or project that requires this package)

2. Package Details

• Package Name:
  Provide the exact, case-sensitive package name as it appears on PyPI (e.g., scikit-learn, tensorflow-hub).
• Package Source: If Git Repository or Other, provide the full URL (e.g., https://github.com/user/repo.git).
• (Optional) Required package version:
  Specify a package version (e.g., 1.2.3) only if a specific version is mandatory for your project. If left blank, the latest stable version will be built.

3. Build & Platform Requirements

• Hardware Variants:
  Select all additional hardware platforms where this package is needed. A CPU-only variant is built by default for all requests.
• [ ] CUDA (NVIDIA GPU)
• [ ] ROCm (AMD GPU)
• [ ] TPU (Google TPU)
• [ ] Gaudi (Intel Gaudi)
• [ ] Spyre (IBM)
• [ ] Other (Please specify):

4. Justification & Testing

• Business Justification:
  (Text Area)
• If available, please link to any existing RFE/ STRAT ticket
• If this is slated for a release, provide the date you need this to be made available. (specify also the product and,version)

• (Optional) Testing Requirements:
  (Text Area)
• Our default test is a simple package import. Describe any specific tests you require beyond this.

Example: "Must be able to run the package's built-in pytest suite," or "Verify function X runs correctly on a GPU."