Mish Ushakov
7474d904a2
Promotes the merged #1532 (by @anxkhn) from the staging branch `fix/no-install-recommends-docstring` into `main`. `TemplateBuilder.apt_install()` documents its `no_install_recommends` parameter as "Whether to install recommended packages", but the generated command does the opposite. In `packages/python-sdk/e2b/template/main.py` the command adds apt-get's `--no-install-recommends` flag when the argument is `True`: ```python f"... apt-get install -y {'--no-install-recommends ' if no_install_recommends else ''}..." ``` `--no-install-recommends` tells apt to *skip* recommended packages, so `no_install_recommends=True` skips them rather than installing them. A user who follows the docstring gets the inverse of the documented behavior. The parameter name and apt-get's own semantics confirm the code is correct and the docstring was wrong; this rewords the docstring line to match the real behavior. The `--no-install-recommends` flag was introduced in #983; the docstring has been inverted since then. This is Python-only. The JS twin `aptInstall` applies the same flag but has no per-parameter JSDoc for `noInstallRecommends` (it appears only inside an `@example`), so there is nothing contradictory to fix on the JS side. There is a single Python definition (no sync/async mirror for the template builder). No behavior change; documentation-only, plus a `@e2b/python-sdk: patch` changeset. ### Usage ```python from e2b import Template template = Template().from_image("ubuntu:22.04") # Install recommended packages as well (apt-get default): template.apt_install("vim") # Skip recommended packages (adds apt-get's --no-install-recommends): template.apt_install("vim", no_install_recommends=True) ``` 🤖 Generated with [Claude Code](https://claude.com/claude-code) Signed-off-by: Anas Khan <83116240+anxkhn@users.noreply.github.com> Co-authored-by: Anas Khan <anxkhn28@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
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.