Tomas Valenta
710fae6fa1
<!-- CURSOR_SUMMARY --> > [!NOTE] > **Medium Risk** > Changes request timeout semantics for server-stream calls by adding `write` and conditional `read` timeouts, which could alter behavior for long-running/slow streams but is limited to client-side networking configuration. > > **Overview** > **Improves timeout handling for server-stream requests in the Python SDK.** `Client._prepare_server_stream_request` now builds a richer `httpcore` timeout extension: `request_timeout` applies to `connect`, `pool`, and `write`, and the separate `timeout` parameter is mapped to a `read` timeout (to help prevent hanging streams). > > Adds a changeset to publish a patch release documenting the updated `request_timeout` behavior. > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit e66ef8e5056cfdb81892222881519e5e63f9e514. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY --> --------- Co-authored-by: Matt Brockman <matt.brockman@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-code-interpreter
2. Get your E2B API key
E2B_API_KEY=e2b_***
3. Execute code with code interpreter inside Sandbox
from e2b_code_interpreter import Sandbox
with Sandbox.create() as sandbox:
sandbox.run_code("x = 1")
execution = sandbox.run_code("x+=1; x")
print(execution.text) # outputs 2
4. Check docs
Visit E2B documentation.
5. E2B cookbook
Visit our Cookbook to get inspired by examples with different LLMs and AI frameworks.