Metadata-Version: 2.4
Name: runcell
Version: 0.1.15a0
Summary: AI Agent for Jupyter
Project-URL: homepage, https://www.runcell.dev
Author-email: Elwynn Chen <elwynn.c@kanaries.net>
License: BSD 3-Clause License
        
        Copyright (c) 2025, Elwynn Chen
        All rights reserved.
        
        Redistribution and use in source and binary forms, with or without
        modification, are permitted provided that the following conditions are met:
        
        1. Redistributions of source code must retain the above copyright notice, this
           list of conditions and the following disclaimer.
        
        2. Redistributions in binary form must reproduce the above copyright notice,
           this list of conditions and the following disclaimer in the documentation
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        3. Neither the name of the copyright holder nor the names of its
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        THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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License-File: LICENSE
Keywords: jupyter,jupyterlab,jupyterlab-extension
Classifier: Framework :: Jupyter
Classifier: Framework :: Jupyter :: JupyterLab
Classifier: Framework :: Jupyter :: JupyterLab :: 4
Classifier: Framework :: Jupyter :: JupyterLab :: Extensions
Classifier: Framework :: Jupyter :: JupyterLab :: Extensions :: Prebuilt
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.9
Requires-Dist: aiohttp
Requires-Dist: dill
Requires-Dist: ipython
Requires-Dist: jupyter-server
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: openai
Requires-Dist: pandas
Requires-Dist: python-dotenv
Requires-Dist: python-socks
Requires-Dist: websockets
Description-Content-Type: text/markdown

# runcell

[![Github Actions Status](https://github.com/ObservedObserver/d5m/workflows/Build/badge.svg)](https://github.com/ObservedObserver/d5m/actions/workflows/build.yml)

A JupyterLab extension.

## Requirements

- JupyterLab >= 4.0.0

## Install

To install the extension, execute:

```bash
pip install runcell
```

## API Key Setup

D5M AI supports multiple AI providers. You need to set up the appropriate API keys as environment variables:

### Anthropic Claude
```bash
export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
```

### Google Gemini (via Google AI Studio)
```bash
export GOOGLE_API_KEY="your_google_ai_studio_api_key_here"
```

### OpenAI
```bash
export OPENAI_API_KEY="your_openai_api_key_here"
```

**Note**: For Gemini models, make sure to use the Google AI Studio API key, not Google Cloud/Vertex AI credentials. The extension uses the `gemini/` prefix format which works with Google AI Studio without requiring additional Google Cloud dependencies.

## Uninstall

To remove the extension, execute:

```bash
pip uninstall runcell
```

## Compilation System

D5M AI includes a unified compilation system for IP protection and performance optimization. The system compiles core AI modules using Nuitka while maintaining development flexibility.

### Quick Start

```bash
# Compile all handlers for production
python compile_unified.py

# Test the compilation system
python test_unified_compilation.py

# Development mode (uses source code)
export D5M_ENV=development

# Production mode (uses compiled modules)
export D5M_ENV=production
```

For detailed information, see [COMPILATION_SYSTEM.md](COMPILATION_SYSTEM.md).

## Contributing

### Development install

Note: You will need NodeJS to build the extension package.

The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.

```bash
# Clone the repo to your local environment
# Change directory to the d5m_ai directory
# Install package in development mode
pip install -e "."
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm build
```

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab
```

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the `jlpm build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

```bash
jupyter lab build --minimize=False
```

### Development uninstall

```bash
pip uninstall runcell
```

In development mode, you will also need to remove the symlink created by `jupyter labextension develop`
command. To find its location, you can run `jupyter labextension list` to figure out where the `labextensions`
folder is located. Then you can remove the symlink named `runcell` within that folder.

### Testing the extension

#### Frontend tests

This extension is using [Jest](https://jestjs.io/) for JavaScript code testing.

To execute them, execute:

```sh
jlpm
jlpm test
```

#### Integration tests

This extension uses [Playwright](https://playwright.dev/docs/intro) for the integration tests (aka user level tests).
More precisely, the JupyterLab helper [Galata](https://github.com/jupyterlab/jupyterlab/tree/master/galata) is used to handle testing the extension in JupyterLab.

More information are provided within the [ui-tests](./ui-tests/README.md) README.

### Packaging the extension

See [RELEASE](RELEASE.md)

### Keyboard Shortcuts

The AI chat panel can be opened using `Cmd/Ctrl+L`.


## Development

```bash
source jupyterlab-env/bin/activate
jupyter server extension enable d5m_ai
jupyter lab
```
