Metadata-Version: 2.4
Name: wd360
Version: 0.1.0
Summary: Watchdog360 CLI framework for standardized Azure AI infra templates
Author-email: Watchdog360 <devnull@example.com>
License: MIT
Keywords: azure,arm-templates,infrastructure,ai,cli,devops
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: System :: Systems Administration
Classifier: Topic :: Utilities
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: typer[all]>=0.12.0
Requires-Dist: pydantic>=2.7.0
Requires-Dist: pyyaml>=6.0.0
Dynamic: license-file

## wd360 CLI

Python-based CLI framework for generating standardized Azure ARM templates for AI host infrastructure.

### Quick start

1. Create and activate a virtual environment (optional but recommended).
2. From the `cli/` directory, install the package in editable mode:

```bash
pip install -e .
```

3. Verify the CLI is available:

```bash
wd360 --help
```

### Current commands

- `wd360 init azure-vm`  
  Scaffold a starter configuration file for an Azure AI host VM stack.

- `wd360 plan azure-vm -c <config_file> -o <template_file>`  
  Load and validate config, then generate a basic ARM template skeleton for the stack.

Implementation is intentionally minimal at this stage and focuses on structure and naming conventions. Further resource details can be added incrementally.


