e2b-dev--e2b

E2B is an open-source infrastructure that allows you to run AI-generated code in secure isolated sandboxes in the cloud. To start and control sandboxes, use our JavaScript SDK or Python SDK.

Run your first Sandbox

1. Install SDK

pip install e2b

2. Get your E2B API key

Sign up to E2B here.
Get your API key here.
Set environment variable with your API key

E2B_API_KEY=e2b_***

3. Start a sandbox and run commands

from e2b import Sandbox

with Sandbox.create() as sandbox:
    result = sandbox.commands.run('echo "Hello from E2B!"')
    print(result.stdout)  # Hello from E2B!

4. Bind the configuration to a client

The top-level Sandbox, AsyncSandbox, Volume, AsyncVolume, Template, AsyncTemplate and Secret exports read their configuration from the environment variables. To use an explicit configuration — e.g. several API keys or domains in one process — create an E2B client and use the resource classes it exposes:

from e2b import E2B

client = E2B(api_key="e2b_***", domain="e2b.dev")

sandbox = client.Sandbox.create()
volume = client.Volume.create("my-volume")
exists = client.Template.exists("my-template")
secret = client.Secret.create("openai-api-key", "sk-***")

# The async variants are exposed as well.
async_sandbox = await client.AsyncSandbox.create()

# The classes can be assigned and used like the top-level ones.
Sandbox = client.Sandbox
paginator = Sandbox.list()

Per-call params still take precedence over the client's params, and clients are isolated from each other and from the env-configured top-level exports.

5. Code execution with Code Interpreter

If you need run_code(), install the Code Interpreter SDK:

pip install e2b-code-interpreter

from e2b_code_interpreter import Sandbox

with Sandbox.create() as sandbox:
    execution = sandbox.run_code("x = 1; x += 1; x")
    print(execution.text)  # outputs 2

6. Check docs

Visit E2B documentation.

7. E2B cookbook

Visit our Cookbook to get inspired by examples with different LLMs and AI frameworks.