Tomas Valenta
d21b936bf7
## Summary When `lifecycle.on_timeout` is set it wins; otherwise we fall back to the `auto_pause` argument. Previously the Python SDKs subscripted `lifecycle["on_timeout"]`, which raised `KeyError` if a caller passed a `lifecycle` dict missing that key (TypedDict is not enforced at runtime). The JS SDK silently used the whole `lifecycle` object even when `onTimeout` was undefined. In both cases, mixing `lifecycle` and `auto_pause` had inconsistent and surprising behavior across the public surfaces (`create` vs `beta_create`). Now both SDKs use `.get`/optional chaining on `on_timeout` and only treat `lifecycle` as authoritative when that field is actually present. Touched files: - `packages/python-sdk/e2b/sandbox_async/sandbox_api.py` - `packages/python-sdk/e2b/sandbox_sync/sandbox_api.py` - `packages/js-sdk/src/sandbox/sandboxApi.ts` --------- Co-authored-by: Jakub Novak <jakub@e2b.dev>
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.