--- # SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 title: "Python SDK" sidebar-title: "Python" description: "Install the OpenShell Python SDK, reuse a registered gateway, and manage a sandbox." keywords: "OpenShell, SDK, Python, PyPI, gRPC, Sandbox" position: 3 --- Use the Python SDK to manage sandboxes from applications, notebooks, and automation. It can reuse gateway registration and authentication state created by the OpenShell CLI. Use the SDK and gateway from the same OpenShell release when possible. ## Install the SDK The package requires Python 3.11 or later. Add it to your project with `uv`: ```shell uv add openshell ``` The `openshell` package contains the SDK. It does not install the OpenShell CLI. ## Connect to a Registered Gateway Register and select a gateway with the CLI first. Then construct the client from the active gateway: ```python from openshell import SandboxClient with SandboxClient.from_active_cluster() as client: health = client.health() print(health.version) ``` `from_active_cluster()` reads the selected gateway endpoint, TLS files, and OIDC token state. It refreshes an expiring OIDC token by default and writes the rotated bundle back for other OpenShell processes. For a direct local plaintext connection, pass a `host:port` endpoint: ```python from openshell import SandboxClient with SandboxClient("127.0.0.1:8080") as client: print(client.health().version) ``` For service automation against an OIDC gateway, use `ClientCredentialsAuth`. Non-loopback endpoints require TLS: ```python import os from openshell import ClientCredentialsAuth, SandboxClient auth = ClientCredentialsAuth( issuer="https://idp.example.com/realms/openshell", client_id="openshell-service", client_secret=lambda: os.environ["OPENSHELL_OIDC_CLIENT_SECRET"], audience="openshell-gateway", ) with SandboxClient.from_active_cluster(client_credentials=auth) as client: print(client.health().version) ``` ## Create and Use a Sandbox Python SDK methods take an explicit workspace. This example creates a sandbox, waits for readiness, runs a command, and waits for deletion: ```python from openshell import SandboxClient with SandboxClient.from_active_cluster() as client: sandbox = client.create( workspace="default", name="sdk-example", ) client.wait_ready( sandbox.name, workspace="default", timeout_seconds=120, ) result = client.exec( sandbox.name, ["python", "-c", "print('hello from OpenShell')"], workspace="default", ) print(result.stdout, end="") deletion = client.delete(sandbox.name, workspace="default") client.wait_deleted( sandbox.name, workspace="default", expected_sandbox_id=deletion.sandbox_id, ) ``` Use `create_session()` when you want an object that retains the sandbox name and workspace for repeated exec, stop, start, and delete operations. List methods return lazy `Pager` instances; use `list_all()` only when you want to fetch the complete collection. ## Next Steps - Review [Manage Sandboxes](/how-it-works/sandboxes/overview) for labels, templates, services, and Python SDK examples. - Review [Gateway Authentication](/how-it-works/gateways/authentication) for OIDC and client credentials. - Review [API Errors](/sdk/api-errors) for structured error handling.