semvec/pypi-packages huggingface dataset:
langchain-daytona 0.0.2
Daytona sandbox integration for Deep Agents
License: MIT
Requires Python: <4.0,>=3.11

# langchain-daytona

[![PyPI - Version](https://img.shields.io/pypi/v/langchain-daytona?label=%20)](https://pypi.org/project/langchain-daytona/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langchain-daytona)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain-daytona)](https://pypistats.org/packages/langchain-daytona)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain)

Looking for the JS/TS version? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs).

## Quick Install

```bash
pip install langchain_daytona
```

```python
from daytona import Daytona

from langchain_daytona import DaytonaSandbox

sandbox = Daytona().create()
backend = DaytonaSandbox(sandbox)
result = backend.execute("echo hello")
print(result.output)
```

## 🤔 What is this?

Daytona sandbox integration for Deep Agents.

## 📕 Releases & Versioning

See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.

## 💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
ni-python-styleguide 0.4.9
NI's internal and external Python linter rules and plugins
License: MIT
Requires Python: <4.0,>=3.7

# NI Python Style Guide

![logo](https://raw.githubusercontent.com/ni/python-styleguide/main/docs/logo.svg)

---

[![PyPI version](https://badge.fury.io/py/ni-python-styleguide.svg)](https://badge.fury.io/py/ni-python-styleguide) ![Publish Package](https://github.com/ni/python-styleguide/workflows/Publish%20Package/badge.svg) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)


Welcome to NI's internal and external Python conventions and enforcement tooling.

## Written Conventions

Our written conventions can be found at https://ni.github.io/python-styleguide/.

Their source is in [docs/Coding-Conventions.md](https://github.com/ni/python-styleguide/tree/main/docs/Coding-Conventions.md).

NOTE: Using the GitHub Pages link is preferable to a GitHub `/blob` link.

## Enforcement tooling

As a tool, `ni-python-styleguide` is installed like any other script:

```bash
pip install ni-python-styleguide
```

### Linting

To lint, just run the `lint` subcommand (from within the project root, or lower):

```bash
ni-python-styleguide lint
# or
ni-python-styleguide lint ./dir/
# or
ni-python-styleguide lint module.py
```

The rules enforced are all rules documented in the written convention, which are marked as enforced.

### Configuration

`ni-python-styleguide` aims to keep the configuration to a bare minimum (none wherever possible).
However there are some situations you might need to configure the tool.

### Fix

`ni-python-styleguide` has a subcommand `fix` which will run [black](https://pypi.org/project/black/) and [isort](https://pycqa.github.io/isort/).

Additionally, you can run `fix` with the `--aggressive` option and it will add acknowledgements (# noqa) for the remaining linting errors
it cannot fix, in addition to running black and isort. 

#### When using `setup.py`

If you're using `setup.py`, you'll need to set your app's import names for import sorting.

```toml
# pyproject.toml
[tool.ni-python-styleguide]
application-import-names = "<app_name>"
```

### Formatting

`ni-python-styleguide` in the future will have a `format` command which we intend to fix as many lint issues as possible.

Until then you'll want to set the following to get `black` formatting as the styleguide expects.

```toml
# pyproject.toml
[tool.black]
line-length = 100
```

### Editor Integration

(This section to come!)
langchain-modal 0.0.1
Modal sandbox integration for Deep Agents
License: MIT
Requires Python: <4.0,>=3.11

# langchain-modal

[![PyPI - Version](https://img.shields.io/pypi/v/langchain-modal?label=%20)](https://pypi.org/project/langchain-modal/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langchain-modal)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain-modal)](https://pypistats.org/packages/langchain-modal)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain)

Looking for the JS/TS version? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs).

## Quick Install

```bash
pip install langchain-modal
```

```python
import modal

from langchain_modal import ModalSandbox

sandbox = ModalSandbox(modal.Sandbox.create(app=modal.App.lookup("your-app")))
result = sandbox.execute("echo hello")
print(result.output)
```

## 🤔 What is this?

Modal sandbox integration for Deep Agents.

## 📕 Releases & Versioning

See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.

## 💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).