cyberdesk 2.2.43

The official Python SDK for Cyberdesk

Cyberdesk Python SDK

The official Python SDK for Cyberdesk API. This SDK provides a clean, type-safe interface for interacting with all Cyberdesk resources including machines, workflows, runs, connections, and trajectories.

Installation

# Basic SDK installation
pip install cyberdesk

# With testing utilities
pip install "cyberdesk[testing]"

# All development dependencies (for SDK contributors)
pip install "cyberdesk[all]"

Quick Start

The most common use case is to execute workflows that you've created in the Cyberdesk Dashboard.

from cyberdesk import CyberdeskClient, RunCreate
import time

# Initialize the client
client = CyberdeskClient(api_key="your-api-key")

# Create a run for your workflow
run_data = RunCreate(
    workflow_id="your-workflow-id",
    machine_id="your-machine-id",
    input_values={
        # Your workflow-specific input data
        "patient_id": "12345",
        "patient_first_name": "John",
        "patient_last_name": "Doe"
    }
)

response = client.runs.create_sync(run_data)
if response.error:
    print(f"Error creating run: {response.error}")
else:
    run = response.data
    
    # Wait for the run to complete
    while run.status in ["scheduling", "running"]:
        time.sleep(5)  # Wait 5 seconds
        response = client.runs.get_sync(run.id)
        run = response.data
    
    # Get the output data
    if run.status == "success":
        print("Result:", run.output_data)
    else:
        print("Run failed:", ", ".join(run.error or []))

Desktop Parameters

Configure machine-specific values that automatically populate workflows running on specific desktops:

from cyberdesk import MachineUpdate

# Set desktop parameters for a machine
client.machines.update_sync(
    machine_id="machine-id",
    data=MachineUpdate(
        machine_parameters={
            "username": "machine_specific_user",
            "api_url": "https://api-region-east.example.com",
            "config_path": "C:\\MachineA\\config.json"
        },
        machine_sensitive_parameters={
            "password": "actual_secret_value",  # Stored securely in Basis Theory
            "api_key": "actual_api_key_123"
        }
    )
)

Use in workflows with standard syntax:

Log in to {api_url} using {username} and password {$password}.
Then open the config at {config_path}.

Desktop parameters automatically override run-level inputs and persist across runs. See the Desktop Parameters docs for more details.

Full Documentation

For complete documentation including async/sync usage, error handling, and all available methods, visit:

https://docs.cyberdesk.io/sdk-guides/python

Async Support

The SDK provides both synchronous and asynchronous methods for all operations:

import asyncio
from cyberdesk import CyberdeskClient

async def main():
    client = CyberdeskClient(api_key="your-api-key")
    
    # Async method
    response = await client.machines.list()
    if response.data:
        for machine in response.data.items:
            print(f"Machine: {machine.name}")

asyncio.run(main())

Resources

Machines

# List machines
response = client.machines.list_sync(
    skip=0,
    limit=10,
    status=MachineStatus.ACTIVE
)

# Get a specific machine
response = client.machines.get_sync("machine-id")

# Create a machine
from cyberdesk import MachineCreate

machine = MachineCreate(
    name="My Machine",
    provider="azure",
    region="eastus"
)
response = client.machines.create_sync(machine)

# Update a machine
from cyberdesk import MachineUpdate

update = MachineUpdate(name="Updated Name")
response = client.machines.update_sync("machine-id", update)

# Delete a machine
response = client.machines.delete_sync("machine-id")

Workflows

# List workflows
response = client.workflows.list_sync()

# Get a workflow
response = client.workflows.get_sync("workflow-id")

# Create a workflow
from cyberdesk import WorkflowCreate

workflow = WorkflowCreate(
    name="My Workflow",
    description="Description"
)
response = client.workflows.create_sync(workflow)

# Update a workflow
from cyberdesk import WorkflowUpdate

update = WorkflowUpdate(description="New description")
response = client.workflows.update_sync("workflow-id", update)

# Delete a workflow
response = client.workflows.delete_sync("workflow-id")

Runs

# List runs with filtering
response = client.runs.list_sync(
    workflow_id="workflow-id",
    machine_id="machine-id",
    status=RunStatus.RUNNING
)

# Create a run
from cyberdesk import RunCreate

run = RunCreate(
    workflow_id="workflow-id",
    machine_id="machine-id"
)
response = client.runs.create_sync(run)

# Get run details
response = client.runs.get_sync("run-id")

# Update run status
from cyberdesk import RunUpdate

update = RunUpdate(status=RunStatus.COMPLETED)
response = client.runs.update_sync("run-id", update)

Connections

# List connections
response = client.connections.list_sync(
    machine_id="machine-id",
    status=ConnectionStatus.ACTIVE
)

# Create a connection
from cyberdesk import ConnectionCreate

connection = ConnectionCreate(
    machine_id="machine-id",
    connection_type="vnc"
)
response = client.connections.create_sync(connection)

Trajectories

# List trajectories
response = client.trajectories.list_sync(workflow_id="workflow-id")

# Create a trajectory
from cyberdesk import TrajectoryCreate

trajectory = TrajectoryCreate(
    workflow_id="workflow-id",
    trajectory_data=[{"action": "click", "x": 100, "y": 200}]
)
response = client.trajectories.create_sync(trajectory)

# Get latest trajectory for a workflow
response = client.trajectories.get_latest_for_workflow_sync("workflow-id")

# Update a trajectory
from cyberdesk import TrajectoryUpdate

update = TrajectoryUpdate(
    trajectory_data=[{"action": "type", "text": "Hello"}]
)
response = client.trajectories.update_sync("trajectory-id", update)

Error Handling

All methods return an ApiResponse object with data and error attributes:

response = client.machines.get_sync("invalid-id")
if response.error:
    print(f"Error: {response.error}")
else:
    print(f"Machine: {response.data.name}")

Context Manager

The client can be used as a context manager:

with CyberdeskClient(api_key="your-api-key") as client:
    response = client.machines.list_sync()
    # Client will be properly closed when exiting the context

Configuration

You can specify a custom API base URL:

client = CyberdeskClient(
    api_key="your-api-key",
    base_url="https://custom-api.cyberdesk.io"
)

Type Safety

The SDK is fully typed and exports all request/response models:

from cyberdesk import (
    MachineCreate,
    MachineUpdate,
    MachineResponse,
    MachineStatus,
    WorkflowCreate,
    WorkflowResponse,
    RunCreate,
    RunStatus,
    # ... and more
)

Webhooks

Handling Webhooks

Cyberdesk sends webhooks when important events occur (e.g., workflow completion). To handle webhooks:

import os
from fastapi import FastAPI, Request, HTTPException
from svix.webhooks import Webhook, WebhookVerificationError
from openapi_client.cyberdesk_cloud_client.models.run_completed_event import RunCompletedEvent
from openapi_client.cyberdesk_cloud_client.models.run_response import RunResponse
from typing import cast

app = FastAPI()

@app.post("/webhooks/cyberdesk")
async def cyberdesk_webhook(request: Request):
    secret = os.environ["SVIX_WEBHOOK_SECRET"]
    wh = Webhook(secret)
    
    payload = await request.body()
    headers = {
        "svix-id": request.headers.get("svix-id"),
        "svix-timestamp": request.headers.get("svix-timestamp"),
        "svix-signature": request.headers.get("svix-signature"),
    }
    
    try:
        data = wh.verify(payload, headers)
        # IMPORTANT: Use from_dict() for attrs classes, NOT model_validate()
        evt = RunCompletedEvent.from_dict(data)
        run: RunResponse = cast(RunResponse, evt.run)
        
        # Process the run based on status
        if run.status == "success":
            print(f"Run {run.id} completed successfully!")
            print(f"Output: {run.output_data}")
        
        return {"ok": True}
    except WebhookVerificationError:
        raise HTTPException(status_code=400, detail="Invalid signature")

Important: The SDK uses attrs classes (not Pydantic), so use RunCompletedEvent.from_dict(data) instead of model_validate(data).

Testing Webhooks Locally

See tests/webhooks/WEBHOOK_TESTING.md for a complete guide on testing webhooks locally without exposing your server to the internet.

Quick start:

# Install SDK with testing dependencies
pip install "cyberdesk[testing]"

# Set up .env file
cp .env.example .env
# Edit .env with your SVIX_WEBHOOK_SECRET

# Run the example webhook handler
python -m uvicorn tests.webhooks.example_webhook_handler:app --reload

# In another terminal, test it
python -m tests.webhooks.test_webhook_local

Example Files

All webhook testing resources are in the tests/webhooks/ directory:

• tests/webhooks/example_webhook_handler.py - Complete, production-ready webhook handler
• tests/webhooks/test_webhook_local.py - Utility to test webhooks locally
• tests/webhooks/test_webhook_integration.py - pytest integration tests
• tests/webhooks/WEBHOOK_TESTING.md - Comprehensive testing guide
• tests/webhooks/WEBHOOK_QUICKSTART.md - Quick reference guide

Testing

The SDK includes comprehensive testing utilities:

Quick Test

# Install with test dependencies
pip install ".[testing]"

# Set up environment
cp .env.example .env
# Edit .env with your credentials

# Run all tests
pytest tests/ -v

Test Categories

• Webhook Tests (tests/webhooks/) - Test webhook handlers locally, no real API
• Integration Tests (tests/integration/) - Test SDK with real API calls

See TESTING.md for complete testing documentation.

Limitations

• Screenshot API: The /v1/computer/{machine_id}/display/screenshot endpoint is not included in the generated client due to limitations with binary (PNG) responses in the openapi-python-client generator. This can be added manually if needed - see the TODO comment in client.py.

Requirements

• Python 3.8+
• httpx
• attrs (used by the auto-generated OpenAPI client)

License

MIT License - see LICENSE file for details.