summary/02_using_environments.md

02. Using Environments

Source:

• https://meta-pytorch.org/OpenEnv/auto_getting_started/plot_02_using_environments.html

Main idea

This page is about how users consume an existing OpenEnv environment.

The docs highlight three connection methods:

1. from Hugging Face Hub
2. from Docker image
3. from direct base URL

Connection methods

1. From Hugging Face Hub

The easiest route for end users.

Typical flow:

• pull the image from the HF registry
• start the container locally
• connect to it
• clean it up on close

The docs show the pattern conceptually as:

MyEnv.from_hub("owner/env-name")

2. From Docker image

Useful when:

• you already built the image locally
• you want reproducible local runs
• you do not want to depend on a live remote Space

Typical pattern:

MyEnv.from_docker_image("my-env:latest")

3. Direct URL connection

Useful when:

• the server is already running
• you want to connect to localhost or a deployed Space

Typical pattern:

MyEnv(base_url="http://localhost:8000")

WebSocket model

The docs emphasize that OpenEnv uses WebSocket-backed sessions for persistent environment interaction.

Why this matters:

• lower overhead than stateless HTTP on every step
• cleaner session management
• better fit for multi-step RL loops

Environment loop

The intended use pattern is:

1. connect
2. reset
3. repeatedly call step(action)
4. inspect reward, done, and observation
5. close cleanly

What this means for python_env

Your environment should be easy to consume in all three modes:

• local URL
• local Docker image
• HF Space

That means the most important user-facing checks are:

• reset() works
• step() works
• the client can parse the observation correctly
• Docker image starts cleanly
• deployed Space responds on /health, /docs, and session routes

For hackathon validation, this page is basically the “user experience” standard you need to match.