Skip to main content

Python SDK for Concave - secure isolated code execution

Project description

Concave Sandbox Banner

What's this?

This is a Python SDK for creating and managing sandboxes. These sandboxes run at scale on our infrastructure, while you can focus on using them to do anything you want.

Well, what can I do with it?

Run untrusted AI generated code, power deep research systems, environment for coding agents, train RL agents, malware analysis, or build interactive compute experiences—all in secure, high-performance sandboxes.

Features

  • Secure Isolation: Complete VM-level isolation using Firecracker microVMs—every sandbox runs in its own kernel (unlike Docker containers that share the host kernel)
  • Python Execution: Run Python code securely in isolated sandboxes
  • Blazing Fast: Full VM boot up in under 200ms
  • Simple API: Clean, intuitive interface with easy-to-use client SDKs
  • Production Ready: Comprehensive error handling and type hints

Installation

pip install concave-sandbox

Quick Start

Configuration

Set your API key as an environment variable:

export CONCAVE_SANDBOX_API_KEY="your_api_key_here"

Sign up at concave.ai to get your API key.

Run Python Code

Execute Python code securely in isolated sandboxes:

from concave import sandbox

with sandbox() as sbx:
    result = sbx.run("print(668.5 * 2)")
    print(result.stdout) 
    
# Output: 1337.0

Manual Cleanup

If you prefer to manage the sandbox lifecycle yourself:

from concave import Sandbox

sbx = Sandbox.create()

# Execute shell commands
result = sbx.execute("uname -a")
print(result.stdout)  # Linux ...

# Run Python code
result = sbx.run("print('Hello from Python!')")
print(result.stdout)  # Hello from Python!

# Clean up
sbx.delete()

Documentation

For complete API reference, advanced examples, error handling, and best practices, visit docs.concave.ai.

Project details


Download files

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

Source Distribution

concave_sandbox-0.5.2.tar.gz (590.7 kB view details)

Uploaded Source

Built Distribution

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

concave_sandbox-0.5.2-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file concave_sandbox-0.5.2.tar.gz.

File metadata

  • Download URL: concave_sandbox-0.5.2.tar.gz
  • Upload date:
  • Size: 590.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for concave_sandbox-0.5.2.tar.gz
Algorithm Hash digest
SHA256 7110181880960770775c6fc8f60520ec0fbef016fb8ec8a652295db479b623c0
MD5 17a6922e2bc7850fc0fad877f0dc51c3
BLAKE2b-256 18a25f4f9ab0bb78f0ec1289178fd994c744bce736cd43f1b4902d5471b8bd7f

See more details on using hashes here.

File details

Details for the file concave_sandbox-0.5.2-py3-none-any.whl.

File metadata

File hashes

Hashes for concave_sandbox-0.5.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fb7fa1105f4ddec061c2ef1a0717f2bc4c5daa05ae88f4af316d7c6177ac3f90
MD5 371b5509224dad8acd58beacbc1a4517
BLAKE2b-256 ff671f63ec611a5104bccc9e6f7f21f9afbc0736c0f50148ac343be33bd9d8aa

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