Metadata-Version: 2.1
Name: botsh
Version: 0.1.0
Summary: A short description of your package
Home-page: https://github.com/yourusername/your-package-name
Author: Your Name
Author-email: your.email@example.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev

# `botsh`

`botsh` is a task runner powered by OpenAI and Docker.

Invoke botsh by providing a task as a command line argument.

botsh will create a bare Ubuntu Docker container associated with
the current directory, or create one if one does not exist. botsh
will then attach the OpenAI API to a shell running in the container
to attempt to complete the given task.

The AI is explicitly told that it is allowed to install software,
and will typically install programs as needed to complete its task.
Installed software remains confined to the container.

When `botsh` is invoked, the current working directory is mounted
into the container and can be modified by programs the agent runs.
The filesystem outside of the current working directory is sealed
off from the container.

Each directory that you run `botsh` in will get its own container,
which is reused for future invocations of `botsh` in that container.
You can tell it to wipe 

## Setup

`botsh` expects an OpenAI API key to be provided as the `OPENAI_API_KEY`
environment variable.

`botsh` also requires Docker to be running on the system.

## Examples

    # botsh "convert cat.jpg into a png file"

    # botsh "use a remote service to find my public ip and base64 encode it"

    # botsh "run pylint on the codebase in src/"

## Observations

These observations relate to the default model, `text-davinci-003`. Using GPT-4 may improve things.

- It works best if you explicitly specify the files/paths you want to work with (use relative references).
  It is not good at figuring out what you mean.
- It often gets stuck in loops if it can't complete a task rather than giving up, despite the prompt
  telling it not to.

## Usage

```
usage: botsh [-h] [--max-rounds MAX_ROUNDS] [--model MODEL] [--image IMAGE] [--shell-command SHELL_COMMAND] [--save-transcript] [--wipe] prompt

Task runner powered by OpenAI and Docker. Invoke botsh by providing a task as a command line argument. botsh will create a bare Ubuntu Docker container associated with the current directory, or create one if one does not exist. botsh will then attach the OpenAI API to a shell running in the container to attempt to complete the given task.

positional arguments:
  prompt                Prompt to execute.

options:
  -h, --help            show this help message and exit
  --max-rounds MAX_ROUNDS
  --model MODEL         OpenAI text completion model to use.
  --image IMAGE         Docker image to use.The current hard-coded prompt works for Debian-derived distributions.
  --shell-command SHELL_COMMAND
                        Shell to invoke within the container.
  --save-transcript     Save transcript to file
  --wipe                Start with a fresh container even if one exists for this directory.
```
