Mish Ushakov
4e16cffc2f
Adds a `proxy` connection parameter to the JS SDK, mirroring the Python
SDK. When set, requests are routed through the given HTTP proxy via an
undici `ProxyAgent` dispatcher (fetchers are cached per-proxy so
non-proxy traffic is unaffected). It applies to control-plane API
requests, all requests made to the returned sandbox (REST plus
filesystem/commands/pty RPC), and volume requests. Behavior is unchanged
when no proxy is provided, and unit tests cover both the API and envd
fetch paths.
## Usage
```ts
import { Sandbox } from 'e2b'
// Routes API + all sandbox requests through the proxy
const sandbox = await Sandbox.create({
proxy: 'http://user:pass@127.0.0.1:8080',
})
await sandbox.files.write('/hello.txt', 'world')
// Also works when connecting to an existing sandbox
const sbx = await Sandbox.connect(sandboxId, { proxy: 'http://127.0.0.1:8080' })
```
> Proxying relies on the optional `undici` package and the Node runtime;
in browser/edge runtimes requests use global `fetch`, which has no proxy
support (same as the existing HTTP/2 dispatcher).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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
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. 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
5. Check docs
Visit E2B documentation.
6. E2B cookbook
Visit our Cookbook to get inspired by examples with different LLMs and AI frameworks.