plugin-kit-ai-runtime 1.1.0

Official Python runtime helpers for plugin-kit-ai executable plugins

plugin-kit-ai-runtime (PyPI authoring helper)

Official Python helper package for launcher-based plugin-kit-ai plugins.

Use it when you want the supported handler-oriented API as a shared dependency instead of generating a local src/plugin_runtime.py helper in each repo.

Most teams should start with the default local-helper path first and switch to this package only when they want one reusable helper dependency across multiple repos.

Start Here

Use this package when:

• you want the same helper dependency across multiple plugin repos
• you want to import plugin_kit_ai_runtime from requirements.txt instead of keeping a generated helper file in src/
• you already know that the shared-package path is the right long-term fit

Do not use this package just because it sounds more production-like.

It does not remove the Python runtime requirement from the machine that runs the plugin. If you want the simplest first repo, use the default local-helper path instead.

Fastest Working Setup

Scaffold a Python project directly on the shared-package path:

plugin-kit-ai init my-plugin --platform codex-runtime --runtime python --runtime-package
cd my-plugin
plugin-kit-ai doctor .
plugin-kit-ai bootstrap .
plugin-kit-ai generate .
plugin-kit-ai validate . --platform codex-runtime --strict
plugin-kit-ai test . --platform codex-runtime --event notify

If Claude hooks are your real first requirement, scaffold with --platform claude instead and use:

plugin-kit-ai test . --platform claude --all

If you are testing from a local development build of the CLI instead of a released version, pass --runtime-package-version explicitly during init. Released stable CLIs pin the matching helper version automatically.

Install:

pip install plugin-kit-ai-runtime

Minimal src/main.py

Typical entrypoint when you want this mode from day one:

from plugin_kit_ai_runtime import CodexApp, continue_

app = CodexApp()


@app.on_notify
def on_notify(event):
    _ = event
    return continue_()


raise SystemExit(app.run())

Keep stdout reserved for tool responses and write diagnostics to stderr only.

Quick Decision Rule

• choose the default local-helper path when you want the smoothest first repo
• choose plugin-kit-ai-runtime when you want one reusable helper dependency across repos
• choose Go instead when you want the cleanest packaging and distribution story

Notes

• Go is still the recommended path when you want the most self-contained delivery model.
• Python authoring remains a stable supported lane, but the machine running the plugin still needs Python 3.10+.
• The helper API mirrors the generated src/plugin_runtime.py scaffold surface.

Docs

• setup guide
• delivery model
• API reference