Mish Ushakov
c40eeaac38
<!-- CURSOR_SUMMARY --> > [!NOTE] > Improve stack-trace path parsing for caller directory and add JS/Python tests; publish as patch. > > - **Template utils (JS SDK)**: > - Add `matchFileDir` to robustly extract file directory from stack-trace lines (handles anonymous frames). > - Refactor `getCallerDirectory` to use `matchFileDir` for path parsing. > - **Tests**: > - Add JS tests for `getCallerDirectory` and `matchFileDir`. > - Add Python async/sync tests for `get_caller_directory`. > - **Release**: > - Add changeset marking a patch for `e2b`. > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 6bd8aa7353479c1657f63c99c732faee042f4c06. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY --> --------- Co-authored-by: Jakub Dobry <jakub.dobry8@gmail.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-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.