openenv/pr_749/en/reference/cli.md

CLI

The openenv CLI provides a set of commands for building, validating, and pushing environments to Hugging Face Spaces or a custom Docker registry. For an end-to-end tutorial on building environments with OpenEnv, see the building an environment guide.

openenv init[[openenv.cli.commands.init]]

openenv.cli.commands.init[[openenv.cli.commands.init]]

Source

Initialize a new OpenEnv environment.

Creates a new directory with the environment name and generates all necessary files based on the OpenEnv template structure.

Example: $ openenv init my_game_env $ openenv init my_env --output-dir /path/to/projects

openenv build[[openenv.cli.commands.build]]

openenv.cli.commands.build[[openenv.cli.commands.build]]

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Build Docker images for OpenEnv environments.

This command builds Docker images using the environment's pyproject.toml and uv for dependency management. Run from the environment root directory.

Examples:

Build from environment root (recommended)

$ cd my_env $ openenv build

Build with custom tag

$ openenv build -t my-custom-tag

Build without cache

$ openenv build --no-cache

Build with custom build arguments

$ openenv build --build-arg VERSION=1.0 --build-arg ENV=prod

Build from different directory

$ openenv build envs/echo_env

openenv validate[[openenv.cli.commands.validate]]

openenv.cli.commands.validate[[openenv.cli.commands.validate]]

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Validate local environments and running OpenEnv servers.

Local validation checks if an environment is properly configured with:

• Required files (pyproject.toml, openenv.yaml, server/app.py, etc.)
• Docker deployment support
• uv run server capability
• python -m module execution

Runtime validation checks if a live OpenEnv server conforms to the versioned runtime API contract and returns a criteria-based JSON report.

Examples:

Validate current directory (recommended)

$ cd my_env $ openenv validate

Validate a running environment and return JSON criteria

$ openenv validate --url http://localhost:8000 $ openenv validate https://my-env.hf.space

Validate with detailed output

$ openenv validate --verbose

Validate specific environment

$ openenv validate envs/echo_env

openenv push[[openenv.cli.commands.push]]

openenv.cli.commands.push[[openenv.cli.commands.push]]

Source

Push an OpenEnv environment to Hugging Face Spaces or a custom Docker registry.

This command:

1. Validates that the directory is an OpenEnv environment (openenv.yaml present)
2. Builds and pushes to Hugging Face Spaces or custom Docker registry
3. Optionally enables web interface for deployment

The web interface is enabled by default when pushing to HuggingFace Spaces, but disabled by default when pushing to a custom Docker registry.

Examples:

Push to HuggingFace Spaces from current directory (web interface enabled)

$ cd my_env $ openenv push

Push to HuggingFace repo and open a Pull Request

$ openenv push my-org/my-env --create-pr $ openenv push --repo-id my-org/my-env --create-pr

Push to HuggingFace without web interface

$ openenv push --no-interface

Push to Docker Hub

$ openenv push --registry docker.io/myuser

Push to GitHub Container Registry

$ openenv push --registry ghcr.io/myorg

Push to custom registry with web interface

$ openenv push --registry myregistry.io/path1/path2 --interface

Push to specific HuggingFace repo

$ openenv push --repo-id my-org/my-env

Push privately with custom base image

$ openenv push --private --base-image ghcr.io/meta-pytorch/openenv-base:latest

Push with GPU hardware

$ openenv push --hardware t4-medium

Set a public Space variable (overrides openenv.yaml variables:)

$ openenv push -e OPENSPIEL_GAME=tic_tac_toe -e MAX_STEPS=100

Set a private Space secret (value never logged)

$ openenv push --secret OPENAI_API_KEY=sk-...

openenv serve[[openenv.cli.commands.serve]]

openenv.cli.commands.serve[[openenv.cli.commands.serve]]

Source

Serve an OpenEnv environment locally.

TODO: This command is currently not implemented and has been deferred for later.

Planned functionality:

• Run environment server locally without Docker
• Support multiple deployment modes (local, notebook, cluster)
• Auto-reload for development
• Integration with environment's [project.scripts] entry point

For now, use Docker-based serving:

1. Build the environment: openenv build
2. Run the container: docker run -p 8000:8000

Or use uv directly: uv run --project . server --port 8000

openenv fork[[openenv.cli.commands.fork]]

openenv.cli.commands.fork[[openenv.cli.commands.fork]]

Source

Fork (duplicate) a Hugging Face Space to your account using the Hub API.

Uses the Hugging Face duplicate_space API. You can set environment variables and secrets, and request hardware/storage/sleep time at creation time.

Examples: $ openenv fork owner/source-space $ openenv fork owner/source-space --private $ openenv fork owner/source-space --repo-id myuser/my-fork $ openenv fork owner/source-space --set-env MODEL_ID=user/model --set-secret HF_TOKEN=hf_xxx $ openenv fork owner/source-space --hardware t4-medium

openenv skills[[openenv.cli.commands.skills.skills_add]]

Installs an openenv-cli skill into your AI assistant's skills directory so it knows the openenv CLI is available and what each command does. Supports Claude Code, Cursor, Codex, and OpenCode.

Install for a single assistant (project-local):

openenv skills add --claude    # → .claude/skills/openenv-cli/
openenv skills add --cursor    # → .cursor/skills/openenv-cli/
openenv skills add --codex     # → .codex/skills/openenv-cli/
openenv skills add --opencode  # → .opencode/skills/openenv-cli/

Multiple flags can be combined — openenv skills add --claude --cursor installs for both at once. The skill file is written to a central location (.agents/skills/openenv-cli/) and each agent directory gets a symlink, so there is only one copy to update.

Install globally (user-level, across all projects):

openenv skills add --claude --global  # → ~/.claude/skills/openenv-cli/

Overwrite an existing installation (e.g. after upgrading openenv):

openenv skills add --claude --force

Preview the skill content without installing:

openenv skills preview

Install to a custom path (for non-standard agent setups):

openenv skills add --dest /path/to/my-agent/skills/

openenv.cli.commands.skills.skills_add[[openenv.cli.commands.skills.skills_add]]

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Install OpenEnv CLI skill for AI assistants.

openenv.cli.commands.skills.skills_preview[[openenv.cli.commands.skills.skills_preview]]

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Print generated SKILL.md content.

API Reference

Entry point[[openenv.cli.main.main]]

openenv.cli.main.main[[openenv.cli.main.main]]

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Main entry point for the CLI.

CLI helpers[[openenv.cli._cli_utils.validate_env_structure]]

openenv.cli._cli_utils.validate_env_structure[[openenv.cli._cli_utils.validate_env_structure]]

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Validate that the directory follows OpenEnv environment structure.

Parameters:

env_dir : Path to environment directory

strict : If True, enforce all optional requirements

Returns:

List of validation warnings (empty if all checks pass)

Validation utilities[[openenv.cli._validation.validate_running_environment]]

openenv.cli._validation.validate_running_environment[[openenv.cli._validation.validate_running_environment]]

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Validate a running OpenEnv server against runtime API standards.

The returned JSON report contains an overall pass/fail result and per-criterion outcomes that can be consumed in CI.

openenv.cli._validation.validate_multi_mode_deployment[[openenv.cli._validation.validate_multi_mode_deployment]]

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Validate that an environment is ready for multi-mode deployment.

Checks:

1. pyproject.toml exists
2. uv.lock exists
3. pyproject.toml has [project.scripts] with server entry point
4. server/app.py has a main() function
5. Required dependencies are present

Returns:

Tuple of (is_valid, list of issues found)

openenv.cli._validation.get_deployment_modes[[openenv.cli._validation.get_deployment_modes]]

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Check which deployment modes are supported by the environment.

Returns:

Dictionary with deployment mode names and whether they're supported

openenv.cli._validation.format_validation_report[[openenv.cli._validation.format_validation_report]]

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Format a validation report for display.

Returns:

Formatted report string

openenv.cli._validation.build_local_validation_json_report[[openenv.cli._validation.build_local_validation_json_report]]

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Build a JSON report for local environment validation.