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Command-line interface for the Enkindler AI operations dashboard.

Project description

enkindler CLI

Command-line interface for the Enkindler AI operations dashboard. Manages AKS deployments, Helm platforms, integrations, and cluster resources from your terminal.

Patterned after az and databricks — designed to be ergonomic for both humans and AI agents.

Install

pip install enkindler

Works on macOS, Linux, and Windows (Python 3.10+).

Quick start

# Sign in via Microsoft device-code flow (opens browser)
enkindler login

# Verify the session
enkindler whoami

# List your deployments
enkindler deployment list

Configuration

Config and the cached JWT live at:

OS Path
macOS ~/Library/Application Support/enkindler/config.toml
Linux ~/.config/enkindler/config.toml
Windows %APPDATA%\enkindler\config.toml

Override the backend URL with --api-url https://... on any command, or set ENKINDLER_API_URL in the environment.

Architecture

  • Backend exposes an OpenAPI spec at /api/openapi.json (the contract).
  • This CLI consumes that spec to drive command behaviour.
  • Auth uses the Azure AD device-code flow — no browser required on the same machine, no token-pasting.

Development

python -m venv .venv && source .venv/bin/activate  # or `.venv\Scripts\activate` on Windows
pip install -e '.[dev]'
pytest
ruff check .

License

MIT

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