summary/04_packaging_deploying.md

04. Packaging & Deploying

Source:

• https://meta-pytorch.org/OpenEnv/auto_getting_started/environment-builder.html

Main idea

This page is the operational workflow for taking an environment from local code to a validated, deployable artifact.

Official workflow

The docs describe this sequence:

1. scaffold environment with openenv init
2. customize models, server logic, and client
3. implement typed EnvClient
4. configure dependencies and Dockerfile
5. run CLI packaging and deployment commands

Important CLI commands

openenv build

Purpose:

• build the Docker image for the environment

The docs call out that it supports both standalone and in-repo environments.

openenv validate --verbose

Purpose:

• check required files
• verify entrypoints
• confirm deployment modes
• fail non-zero on problems

This is one of the most important commands for submission readiness.

openenv push

Purpose:

• deploy to Hugging Face Spaces
• optionally push to other registries

Useful options mentioned by the docs:

• --repo-id
• --private
• --registry
• --base-image

Hugging Face integration behavior

The docs say the CLI handles:

• validating openenv.yaml
• adding HF frontmatter when needed
• preparing the bundle for upload

That means your local files need to be internally consistent before openenv push.

Prerequisites

The docs explicitly call out:

• Python 3.11+
• uv
• Docker
• OpenEnv installed

What this means for python_env

This is your final operational checklist:

1. openenv build
2. openenv validate --verbose
3. openenv push

If any of those fail, fix them before worrying about benchmark polish.

For the hackathon, this page is effectively your packaging contract.