OpenHands Cloud Workspace

Connect to OpenHands Cloud for fully managed sandbox environments.

A ready-to-run example is available here!

The OpenHandsCloudWorkspace demonstrates how to use the OpenHands Cloud to provision and manage sandboxed environments for agent execution. This provides a seamless experience with automatic sandbox provisioning, monitoring, and secure execution without managing your own infrastructure.

Key Concepts

OpenHandsCloudWorkspace

The OpenHandsCloudWorkspace connects to OpenHands Cloud to provision sandboxes:

with OpenHandsCloudWorkspace(
    cloud_api_url="https://app.all-hands.dev",
    cloud_api_key=cloud_api_key,
) as workspace:

This workspace type:

• Connects to OpenHands Cloud API
• Automatically provisions sandboxed environments
• Manages sandbox lifecycle (create, poll status, delete)
• Handles all infrastructure concerns

Getting Your API Key

To use OpenHands Cloud, you need an API key:

1. Go to app.all-hands.dev
2. Sign in to your account
3. Navigate to Settings → API Keys
4. Create a new API key

Store this key securely and use it as the OPENHANDS_CLOUD_API_KEY environment variable.

Configuration Options

The OpenHandsCloudWorkspace supports several configuration options:

Parameter	Type	Default	Description
cloud_api_url	str	Required	OpenHands Cloud API URL
cloud_api_key	str	Required	API key for authentication
sandbox_spec_id	str | None	None	Custom sandbox specification ID
init_timeout	float	300.0	Timeout for sandbox initialization (seconds)
api_timeout	float	60.0	Timeout for API requests (seconds)
keep_alive	bool	False	Keep sandbox running after cleanup

Keep Alive Mode

By default, the sandbox is deleted when the workspace is closed. To keep it running:

workspace = OpenHandsCloudWorkspace(
    cloud_api_url="https://app.all-hands.dev",
    cloud_api_key=cloud_api_key,
    keep_alive=True,
)

This is useful for debugging or when you want to inspect the sandbox state after execution.

Workspace Testing

You can test the workspace before running the agent:

result = workspace.execute_command(
    "echo 'Hello from OpenHands Cloud sandbox!' && pwd"
)
logger.info(f"Command completed: {result.exit_code}, {result.stdout}")

This verifies connectivity to the cloud sandbox and ensures the environment is ready.

Comparison with Other Workspace Types

Feature	OpenHandsCloudWorkspace	APIRemoteWorkspace	DockerWorkspace
Infrastructure	OpenHands Cloud	Runtime API	Local Docker
Authentication	API Key	API Key	None
Setup Required	None	Runtime API access	Docker installed
Custom Images	Via sandbox specs	Direct image specification	Direct image specification
Best For	Production use	Custom runtime environments	Local development

Ready-to-run Example

This example is available on GitHub: examples/02_remote_agent_server/07_convo_with_cloud_workspace.py

This example shows how to connect to OpenHands Cloud for fully managed agent execution:

examples/02_remote_agent_server/07_convo_with_cloud_workspace.py

"""Example: OpenHandsCloudWorkspace for OpenHands Cloud API.

This example demonstrates using OpenHandsCloudWorkspace to provision a sandbox
via OpenHands Cloud (app.all-hands.dev) and run an agent conversation.

Usage:
  uv run examples/02_remote_agent_server/06_convo_with_cloud_workspace.py

Requirements:
  - LLM_API_KEY: API key for direct LLM provider access (e.g., Anthropic API key)
  - OPENHANDS_CLOUD_API_KEY: API key for OpenHands Cloud access

Note:
  The LLM configuration is sent to the cloud sandbox, so you need an API key
  that works directly with the LLM provider (not a local proxy). If using
  Anthropic, set LLM_API_KEY to your Anthropic API key.
"""

import os
import time

from pydantic import SecretStr

from openhands.sdk import (
    LLM,
    Conversation,
    RemoteConversation,
    get_logger,
)
from openhands.tools.preset.default import get_default_agent
from openhands.workspace import OpenHandsCloudWorkspace


logger = get_logger(__name__)


api_key = os.getenv("LLM_API_KEY")
assert api_key, "LLM_API_KEY required"

# Note: Don't use a local proxy URL here - the cloud sandbox needs direct access
# to the LLM provider. Use None for base_url to let LiteLLM use the default
# provider endpoint, or specify the provider's direct URL.
llm = LLM(
    usage_id="agent",
    model=os.getenv("LLM_MODEL", "anthropic/claude-sonnet-4-5-20250929"),
    base_url=os.getenv("LLM_BASE_URL") or None,
    api_key=SecretStr(api_key),
)

cloud_api_key = os.getenv("OPENHANDS_CLOUD_API_KEY")
if not cloud_api_key:
    logger.error("OPENHANDS_CLOUD_API_KEY required")
    exit(1)

cloud_api_url = os.getenv("OPENHANDS_CLOUD_API_URL", "https://app.all-hands.dev")
logger.info(f"Using OpenHands Cloud API: {cloud_api_url}")

with OpenHandsCloudWorkspace(
    cloud_api_url=cloud_api_url,
    cloud_api_key=cloud_api_key,
) as workspace:
    agent = get_default_agent(llm=llm, cli_mode=True)
    received_events: list = []
    last_event_time = {"ts": time.time()}

    def event_callback(event) -> None:
        received_events.append(event)
        last_event_time["ts"] = time.time()

    result = workspace.execute_command(
        "echo 'Hello from OpenHands Cloud sandbox!' && pwd"
    )
    logger.info(f"Command completed: {result.exit_code}, {result.stdout}")

    conversation = Conversation(
        agent=agent, workspace=workspace, callbacks=[event_callback]
    )
    assert isinstance(conversation, RemoteConversation)

    try:
        conversation.send_message(
            "Read the current repo and write 3 facts about the project into FACTS.txt."
        )
        conversation.run()

        while time.time() - last_event_time["ts"] < 2.0:
            time.sleep(0.1)

        conversation.send_message("Great! Now delete that file.")
        conversation.run()
        cost = conversation.conversation_stats.get_combined_metrics().accumulated_cost
        print(f"EXAMPLE_COST: {cost}")
    finally:
        conversation.close()

    logger.info("✅ Conversation completed successfully.")
    logger.info(f"Total {len(received_events)} events received during conversation.")

Running the Example

export LLM_API_KEY="your-llm-api-key"
export OPENHANDS_CLOUD_API_KEY="your-cloud-api-key"
# Optional: specify a custom sandbox spec
# export OPENHANDS_SANDBOX_SPEC_ID="your-sandbox-spec-id"
cd agent-sdk
uv run python examples/02_remote_agent_server/07_convo_with_cloud_workspace.py

Next Steps

• API-based Sandbox - Connect to Runtime API service
• Docker Sandboxed Server - Run locally with Docker
• Local Agent Server - Development without containers
• Agent Server Overview - Architecture and implementation details