Skip to main content

A Python SDK and CLI tool for creating, managing, and interacting with Morph Cloud VMs.

Project description

MorphCloud Python SDK

Overview

MorphCloud is a platform designed to spin up remote AI devboxes we call runtimes. It provides a suite of code intelligence tools and a Python SDK to manage, create, delete, and interact with runtime instances.

Setup Guide

Prerequisites

Python 3.11 or higher

Go to https://cloud.morph.so, log in with the provided credentials and create an API key.

Set the API key as an environment variable MORPH_API_KEY.

Installation

pip install morphcloud

Export the API key:

export MORPH_API_KEY="your-api-key"

Python API

The SDK provides a Python API to interact with the MorphCloud API.

The following example creates a minimal vm snapshot, starts and instance then sets up a simple HTTP server and makes an HTTP request to it.

import time
import requests
import tempfile
from morphcloud.api import MorphCloudClient

# Connect to the MorphCloud API
# The API key can be set through the client or as an environment variable MORPH_API_KEY
client = MorphCloudClient()

# Create a snapshot with 1 vCPU, 128MB memory, 700MB disk size, and the image "morphvm-minimal"
snapshot = client.snapshots.create(vcpus=1, memory=128, disk_size=700, image_id="morphvm-minimal")

# Start an instance from the snapshot and open an SSH connection
with client.instances.start(snapshot_id=snapshot.id) as instance, instance.ssh() as ssh:
    # Install uv and python using the ssh connection
    ssh.run(["curl -LsSf https://astral.sh/uv/install.sh | sh"]).raise_on_error()
    ssh.run(["echo 'source $HOME/.local/bin/env' >> $HOME/.bashrc"]).raise_on_error()
    ssh.run(["uv", "python", "install"]).raise_on_error()

    # Create an index.html file locally and copy it to the instance
    with tempfile.NamedTemporaryFile(mode="w") as f:
        f.writelines("<h1>Hello, World!</h1>")
        f.flush()
        ssh.copy_to(f.name, "index.html")

    # Start an HTTP server on the instance with a tunnel to the local machine and run it in the background
    with ssh.run(["uv", "run", "python3", "-m", "http.server", "8080", "--bind", "127.0.0.1"], background=True) as http_server, \
         ssh.tunnel(local_port=8888, remote_port=8080) as tunnel:

        # Wait for the HTTP server to start
        time.sleep(1)

        print("HTTP Server:", http_server.stdout)

        print("Making HTTP request")
        response = requests.get("http://127.0.0.1:8888", timeout=10)
        print("HTTP Response:", response.status_code)
        print(response.text)

Command Line Interface

The SDK also provides a command line interface to interact with the MorphCloud API. You can use the CLI to create, delete, and manage runtime instances.

Images

List available images:

morph image list [--json]

Snapshots

# List all snapshots
morph snapshot list [--json]

# Create a new snapshot
morph snapshot create --image-id <id> --vcpus <n> --memory <mb> --disk-size <mb> [--digest <hash>]

# Delete a snapshot
morph snapshot delete <snapshot-id>

Instances

# List all instances
morph instance list [--json]

# Start a new instance from snapshot
morph instance start <snapshot-id> [--json]

# Stop an instance
morph instance stop <instance-id>

# Get instance details
morph instance get <instance-id>

# Create snapshot from instance
morph instance snapshot <instance-id> [--json]

# Clone an instance
morph instance branch <instance-id> [--count <n>]

Instance Management

# Execute command on instance
morph instance exec <instance-id> <command>

# SSH into instance
morph instance ssh <instance-id> [command]

# Port forwarding
morph instance port-forward <instance-id> <remote-port> [local-port]

# Expose HTTP service
morph instance expose-http <instance-id> <name> <port>

# Hide HTTP service
morph instance hide-http <instance-id> <name>

Container Deployment

Deploy and run OCI containers:

morph instance crun [options] [command]

Options:
  --image TEXT          Container image (default: python:3.11-slim)
  --expose-http TEXT    HTTP service to expose (format: name:port)
  --vcpus INTEGER      Number of VCPUs (default: 1)
  --memory INTEGER     Memory in MB (default: 128)
  --disk-size INTEGER  Disk size in MB (default: 700)
  --force-rebuild      Force rebuild the container
  --instance-id TEXT   Use existing instance instead of creating new
  --verbose           Enable verbose logging (default: True)
  --json              Output in JSON format

Interactive Chat

Start an interactive chat session with an instance:

Note: You'll need to set ANTHROPIC_API_KEY environment variable to use this command.

morph instance chat <instance-id> [instructions]

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

morphcloud-0.1.15.tar.gz (70.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

morphcloud-0.1.15-py3-none-any.whl (37.5 kB view details)

Uploaded Python 3

File details

Details for the file morphcloud-0.1.15.tar.gz.

File metadata

  • Download URL: morphcloud-0.1.15.tar.gz
  • Upload date:
  • Size: 70.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for morphcloud-0.1.15.tar.gz
Algorithm Hash digest
SHA256 b6f7c042e0d7297beb6b2f2524a73e1fd2de2901e32b51a8c031a801cfd4dd0d
MD5 04cb78490c88efe1d6ccabcd0fc23820
BLAKE2b-256 8a8dfe093c4b27fe5f860b9d5eefe504dbab62c069d7b9fb686f03e80f4bf09d

See more details on using hashes here.

File details

Details for the file morphcloud-0.1.15-py3-none-any.whl.

File metadata

  • Download URL: morphcloud-0.1.15-py3-none-any.whl
  • Upload date:
  • Size: 37.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.11

File hashes

Hashes for morphcloud-0.1.15-py3-none-any.whl
Algorithm Hash digest
SHA256 5d0013e2070447950bf0a12af32bdf9f5fb389988511dbf27cffc3a09a690756
MD5 d49434a900889c0b5326c7873e22be66
BLAKE2b-256 4872dbb039ac3f7c07622223466b45392b369b2ed6b8bdca27027a3654114757

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page