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What is 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

  1. Sign up to E2B here.
  2. Get your API key here.
  3. 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.

High-concurrency sandbox streams

Sandbox commands and files traffic from all sandboxes in a process shares one HTTP/2 connection pool. Requests are spread over the pooled connections by free stream capacity, and a new connection is dialed only once every existing one is at the server's concurrent-stream limit (100 for sandbox.e2b.app), up to E2B_MAX_CONNECTIONS connections per resolved address (default 200). Past that cap, a request waits for a stream to free up. Long-running streams therefore never queue behind one connection's concurrent-stream limit, and idle processes keep a single connection.

File downloads (files.read) are the exception: they use a separate HTTP/1.1 pool, where each in-flight download holds its own connection. That pool has the same E2B_MAX_CONNECTIONS cap per resolved address, so a process runs at most that many downloads at once across all its sandboxes, and further reads wait for a free connection.

E2B_MAX_CONNECTIONS is read when e2b is imported:

E2B_MAX_CONNECTIONS=400 python eval.py

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.

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