runtime-sdk

Python SDK and CLI for Runtime.

Install

Supported host OS for scriptable CLI commands: macOS and Linux only.

The interactive dashboard requires macOS 13+ or 64-bit Linux with glibc 2.17+ or musl 1.2+. On older macOS/Linux environments, the universal wheel keeps scriptable subcommands available, but bare runtime cannot open the OpenTUI dashboard.

Windows is not supported at this time.

uv tool install runtime-sdk

To upgrade an existing install:

uv tool upgrade runtime-sdk

Configure

The CLI talks to https://api.runruntime.dev by default.

For local or self-hosted Runtime, override it with:

export RUNTIME_BASE_URL=http://127.0.0.1:8080

Or pass --base-url per command.

Usage

# Auth
runtime                          # first run in a real terminal prompts for email + verification code, then creates your first computer
runtime login                    # interactive email + verification code flow
runtime login you@example.com
runtime verify 123456
runtime whoami
runtime logout
runtime login --api-key rt_live_...
runtime api-keys list
runtime api-keys create "my laptop"
runtime api-keys revoke 123
runtime integrate github
runtime github list
runtime github disconnect acme

# Computers
runtime switch --repo owner/repo feature/login      # open or create the branch workspace computer
runtime switch -c feature/login --repo owner/repo   # create a new branch workspace from the repo default branch
runtime checkout --repo owner/repo feature/login    # alias for switch
runtime create                       # creates a computer with the starter app already published
runtime create myapp --command "python3 app.py" --cwd /home/ubuntu --port 3000
runtime enter <name-or-id>         # open an interactive shell; accepts slug/name or computer id
runtime enter <name-or-id> -- claude   # open a real TTY and run an interactive command
runtime enter <name-or-id> -- python   # use enter for REPLs, agents, prompts, and full-screen apps
runtime ssh <name-or-id>           # open SSH through Runtime's authenticated tunnel
runtime ssh <name-or-id> -- uptime # run a command with the local ssh client
runtime list
runtime info <id>
runtime share public <id>
runtime share private <id>
runtime start <id>
runtime run <id> "echo hello"      # one-shot foreground command only
runtime run <id> "apt install -y nodejs" --uid 0
runtime exec <id> -- bash -lc 'for i in 1 2 3; do echo $i; sleep 1; done'
printf 'hello' | runtime exec <id> --stdin -- cat
# Use runtime exec for automation and exact exit codes; use runtime enter -- <cmd> for interactive TTY commands.
runtime files ls <id> /home/ubuntu
runtime files read <id> /home/ubuntu/app.py --output app.py
runtime files write <id> /home/ubuntu/app.py --input app.py --mode 0644
runtime files mkdir <id> /home/ubuntu/data --parents
runtime files upload <id> ./local-app /home/ubuntu/app
runtime files download <id> /home/ubuntu/app ./downloaded-app
runtime files rm <id> /home/ubuntu/data --recursive
runtime startup show <id>
runtime startup set <id> --command "python3 app.py" --cwd /home/ubuntu --port 3000
runtime startup clear <id>          # low-level durable service config
runtime service show <id>           # user-facing alias for the durable published app
runtime service clear <id>
runtime publish <id> 3000           # promote the running app on port 3000 to the public durable app
runtime delete <id>

# Inside a running computer, the helper installed by Runtime can manage the
# durable app without leaving the sandbox:
#   runtime-env publish 3000
#   runtime-env service show
#   runtime-env service clear

Python

from runtime_sdk import RuntimeClient

client = RuntimeClient(base_url="https://api.runruntime.dev", api_key="rt_live_...")

# Create a computer. New computers start with the starter app already published.
computer = client.create_computer()
print(computer["public_url"])  # https://goldbird.runruntime.dev

# Or create one with an explicit durable app command.
# That saved service is replayed after cold restore / start.
app = client.create_computer(
    slug="myapp",
    command="python3 app.py",
    cwd="/home/ubuntu",
    port=3000,
)

# Run a command
result = client.run_command(computer["id"], "echo hello")
print(result["stdout"])

client.write_file(computer["id"], "/home/ubuntu/hello.txt", b"hello\n")
print(client.read_file(computer["id"], "/home/ubuntu/hello.txt"))
print(client.list_files(computer["id"], "/home/ubuntu"))

# Wake a cold computer explicitly
client.start_computer(app["id"])

# Promote the running app on a local port to the durable public app.
# Runtime inspects the listening process and saves its command + cwd when possible.
client.publish_port(computer["id"], 3000)

# List, info, delete
computers = client.list_computers()
info = client.get_computer(computer["id"])
client.delete_computer(computer["id"])

Development

For fast local backend iteration:

make local-backend

For deploying and testing against the Hetzner production server:

make sync SERVER_IP=x.x.x.x SSH_USER=root
make smoke

Use make deploy instead of make sync when migrations, env files, Caddy, or systemd units changed.

Cold restore and explicit runtime start replay the saved published app command. New computers seed that durable app from the starter workspace. Later, runtime publish <id> <port> can promote a running listener into the saved public app definition by inspecting the live process. Inside a running computer, runtime-env publish <port> does the same thing using a computer-scoped token installed by Runtime. runtime service show|clear and runtime-env service show|clear expose that same durable app state directly. The low-level runtime startup ... commands still map to the same durable state. A one-off runtime run stays one-shot: the filesystem is restored after going cold, but that ad-hoc process is not.

GitHub branch workspaces

runtime switch gives a repo branch its own Runtime computer so you can jump between parallel tasks without local worktrees.

runtime integrate github
runtime github list
runtime switch --repo owner/repo feature/login
runtime switch -c feature/search --repo owner/repo --from main

Rules:

• GitHub must already be connected with runtime integrate github.
• Run runtime integrate github again when you want to add another personal account or org.
• New GitHub connects require user authorization during installation and GITHUB_APP_CLIENT_ID / GITHUB_APP_CLIENT_SECRET on the Runtime API. In GitHub App settings, enable user authorization during installation and set the callback URL to https://api.runruntime.dev/github/callback.
• runtime switch opens an existing branch workspace, or creates the computer if the branch exists but the workspace does not yet.
• runtime switch -c creates a new branch first, then opens that branch's workspace.
• Each repo + branch maps to one dedicated computer.
• The repo is cloned into /home/ubuntu/<repo> and new shells in that computer start there automatically.
• runtime checkout ... is an alias for runtime switch ....

Run the SDK unit tests through the backend project environment:

uv run python -m unittest scripts.tests.test_runtime_sdk

Release

Preview the next release without changing files:

./scripts/release_runtime_sdk.sh --dry-run

Publish a patch release:

./scripts/release_runtime_sdk.sh --publish

Publish a different version bump:

./scripts/release_runtime_sdk.sh --bump minor --publish

The script loads backend/.env automatically, so UV_PUBLISH_TOKEN can live there.