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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.
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