Skip to main content

Daytona Python SDK

The official Python SDK for Daytona, a secure and elastic infrastructure for running AI-generated code. Daytona provides full composable computers — sandboxes — that you can manage programmatically using the Daytona SDK.

The SDK provides an interface for sandbox management, file system operations, Git operations, language server protocol support, process and code execution, and computer use. For more information, see the documentation.

Installation

Install the package using pip:

pip install daytona

Get API key

Generate an API key from the Daytona Dashboard ↗ to authenticate SDK requests and access Daytona services. For more information, see the API keys documentation.

Configuration

Configure the SDK using environment variables or by passing a configuration object:

  • DAYTONA_API_KEY: Your Daytona API key
  • DAYTONA_API_URL: The Daytona API URL
  • DAYTONA_TARGET: Your target region environment (e.g. us, eu)
from daytona import Daytona, DaytonaConfig

# Initialize with environment variables
daytona = Daytona()

# Initialize with configuration object
config = DaytonaConfig(
    api_key="YOUR_API_KEY",
    api_url="YOUR_API_URL",
    target="us"
)

Create a sandbox

Create a sandbox to run your code securely in an isolated environment.

from daytona import Daytona, DaytonaConfig

config = DaytonaConfig(api_key="YOUR_API_KEY")
daytona = Daytona(config)
sandbox = daytona.create()
response = sandbox.process.code_run('print("Hello World")')

Examples and guides

Daytona provides examples and guides for common sandbox operations, best practices, and a wide range of topics, from basic usage to advanced topics, showcasing various types of integrations between Daytona and other tools.

Create a sandbox with custom resources

Create a sandbox with custom resources (CPU, memory, disk).

from daytona import Daytona, CreateSandboxFromImageParams, Image, Resources

daytona = Daytona()
sandbox = daytona.create(
    CreateSandboxFromImageParams(
        image=Image.debian_slim("3.12"),
        resources=Resources(cpu=2, memory=4, disk=8)
    )
)

Create an ephemeral sandbox

Create an ephemeral sandbox that is automatically deleted when stopped.

from daytona import Daytona, CreateSandboxFromSnapshotParams

daytona = Daytona()
sandbox = daytona.create(
    CreateSandboxFromSnapshotParams(ephemeral=True, auto_stop_interval=5)
)

Create a sandbox from a snapshot

Create a sandbox from a snapshot.

from daytona import Daytona, CreateSandboxFromSnapshotParams

daytona = Daytona()
sandbox = daytona.create(
    CreateSandboxFromSnapshotParams(
        snapshot="my-snapshot-name",
        language="python"
    )
)

Execute Commands

Execute commands in the sandbox.

# Execute a shell command
response = sandbox.process.exec('echo "Hello, World!"')
print(response.result)

# Run Python code
response = sandbox.process.code_run('''
x = 10
y = 20
print(f"Sum: {x + y}")
''')
print(response.result)

File Operations

Upload, download, and search files in the sandbox.

# Upload a file
sandbox.fs.upload_file(b'Hello, World!', 'path/to/file.txt')

# Download a file
content = sandbox.fs.download_file('path/to/file.txt')

# Search for files
matches = sandbox.fs.find_files(root_dir, 'search_pattern')

Git Operations

Clone, list branches, and add files to the sandbox.

# Clone a repository
sandbox.git.clone('https://github.com/example/repo', 'path/to/clone')

# List branches
branches = sandbox.git.branches('path/to/repo')

# Add files
sandbox.git.add('path/to/repo', ['file1.txt', 'file2.txt'])

Language Server Protocol

Create and start a language server to get code completions, document symbols, and more.

# Create and start a language server
lsp = sandbox.create_lsp_server('python', 'path/to/project')
lsp.start()

# Notify the lsp for the file
lsp.did_open('path/to/file.py')

# Get document symbols
symbols = lsp.document_symbols('path/to/file.py')

# Get completions
completions = lsp.completions('path/to/file.py', {"line": 10, "character": 15})

Code in _sync directory shouldn't be edited directly. It should be generated from the corresponding async code in the _async directory using the SDK generation scripts in the scripts directory.

Download files

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

Source Distribution

daytona-0.202.0.tar.gz (182.6 kB view details)

Uploaded Source

Built Distribution

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

daytona-0.202.0-py3-none-any.whl (218.9 kB view details)

Uploaded Python 3

File details

Details for the file daytona-0.202.0.tar.gz.

File metadata

  • Download URL: daytona-0.202.0.tar.gz
  • Upload date:
  • Size: 182.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.2 CPython/3.12.12 Linux/6.6.141

File hashes

Hashes for daytona-0.202.0.tar.gz
Algorithm Hash digest
SHA256 0d8bb2b899876ed05b5e33816cce6a396ffc7518bb077f8b21a863c3eb4141b6
MD5 fb5cca4f81d23b12a868b9a47e421c89
BLAKE2b-256 2a82c31fdc2061f265c2bde20b62e3608911de69cef8b8c2368b32958bf8429b

See more details on using hashes here.

File details

Details for the file daytona-0.202.0-py3-none-any.whl.

File metadata

  • Download URL: daytona-0.202.0-py3-none-any.whl
  • Upload date:
  • Size: 218.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.3.2 CPython/3.12.12 Linux/6.6.141

File hashes

Hashes for daytona-0.202.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2cedb891cea94a0014cda577729252a51980c38fbfc0110d0d628b43ef732517
MD5 2e437d1e5f787eda53c9b036eebc311f
BLAKE2b-256 bc9753ffe106ef41005e49dca5c64e3f3152d43974a42161ee0e6c047d75b60a

See more details on using hashes here.

Release history Release notifications | RSS feed

Supported by

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