1. Conduid
  2. AI
  3. Python Prompt Toolkit
MCP server · AI

Python Prompt Toolkit

Library for building powerful interactive command line applications in Python

Unclaimed ai
64Good

Scored 6 months ago · breakdown

About Python Prompt Toolkit

Python Prompt Toolkit is an MCP server in the AI category: library for building powerful interactive command line applications in Python.

Install

From source
git clone https://github.com/prompt-toolkit/python-prompt-toolkit

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Python Prompt Toolkit

Powered by Claude · Grounded in docs

I know everything about Python Prompt Toolkit. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

Python Prompt Toolkit

|AppVeyor| |PyPI| |RTD| |License| |Codecov|

.. image :: /docs/images/logo_400px.png

prompt_toolkit is a library for building powerful interactive command line applications in Python.

Read the documentation on readthedocs <http://python-prompt-toolkit.readthedocs.io/en/stable/>_.

Gallery


ptpython <http://github.com/prompt-toolkit/ptpython/>_ is an interactive Python Shell, build on top of prompt_toolkit.

.. image :: /docs/images/ptpython.png

More examples <https://python-prompt-toolkit.readthedocs.io/en/stable/pages/gallery.html>_

prompt_toolkit features


prompt_toolkit could be a replacement for GNU readline <https://tiswww.case.edu/php/chet/readline/rltop.html>_, but it can be much more than that.

Some features:

  • Pure Python.
  • Syntax highlighting of the input while typing. (For instance, with a Pygments lexer.)
  • Multi-line input editing.
  • Advanced code completion.
  • Both Emacs and Vi key bindings. (Similar to readline.)
  • Even some advanced Vi functionality, like named registers and digraphs.
  • Reverse and forward incremental search.
  • Works well with Unicode double width characters. (Chinese input.)
  • Selecting text for copy/paste. (Both Emacs and Vi style.)
  • Support for bracketed paste <https://cirw.in/blog/bracketed-paste>_.
  • Mouse support for cursor positioning and scrolling.
  • Auto suggestions. (Like fish shell <http://fishshell.com/>_.)
  • Multiple input buffers.
  • No global state.
  • Lightweight, the only dependencies are Pygments and wcwidth.
  • Runs on Linux, OS X, FreeBSD, OpenBSD and Windows systems.
  • And much more...

Feel free to create tickets for bugs and feature requests, and create pull requests if you have nice patches that you would like to share with others.

Installation


::

pip install prompt_toolkit

For Conda, do:

::

conda install -c https://conda.anaconda.org/conda-forge prompt_toolkit

About Windows support


prompt_toolkit is cross platform, and everything that you build on top should run fine on both Unix and Windows systems. Windows support is best on recent Windows 10 builds, for which the command line window supports vt100 escape sequences. (If not supported, we fall back to using Win32 APIs for color and cursor movements).

It's worth noting that the implementation is a "best effort of what is possible". Both Unix and Windows terminals have their limitations. But in general, the Unix experience will still be a little better.

Getting started


The most simple example of the library would look like this:

.. code:: python

from prompt_toolkit import prompt

if __name__ == '__main__':
    answer = prompt('Give me some input: ')
    print('You said: %s' % answer)

For more complex examples, have a look in the examples directory. All examples are chosen to demonstrate only one thing. Also, don't be afraid to look at the source code. The implementation of the prompt function could be a good start.

Philosophy


The source code of prompt_toolkit should be readable, concise and efficient. We prefer short functions focusing each on one task and for which the input and output types are clearly specified. We mostly prefer composition over inheritance, because inheritance can result in too much functionality in the same object. We prefer immutable objects where possible (objects don't change after initialization). Reusability is important. We absolutely refrain from having a changing global state, it should be possible to have multiple independent instances of the same code in the same process. The architecture should be layered: the lower levels operate on primitive operations and data structures giving -- when correctly combined -- all the possible flexibility; while at the higher level, there should be a simpler API, ready-to-use and sufficient for most use cases. Thinking about algorithms and efficiency is important, but avoid premature optimization.

Projects using prompt_toolkit <PROJECTS.rst>_


Special thanks to


  • Pygments <http://pygments.org/>_: Syntax highlighter.
  • wcwidth <https://github.com/jquast/wcwidth>_: Determine columns needed for a wide characters.

.. |PyPI| image:: https://img.shields.io/pypi/v/prompt_toolkit.svg :target: https://pypi.python.org/pypi/prompt-toolkit/ :alt: Latest Version

.. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/32r7s2skrgm9ubva?svg=true :target: https://ci.appveyor.com/project/prompt-toolkit/python-prompt-toolkit/

.. |RTD| image:: https://readthedocs.org/projects/python-prompt-toolkit/badge/ :target: https://python-prompt-toolkit.readthedocs.io/en/master/

.. |License| image:: https://img.shields.io/github/license/prompt-toolkit/python-prompt-toolkit.svg :target: https://github.com/prompt-toolkit/python-prompt-toolkit/blob/master/LICENSE

.. |Codecov| image:: https://codecov.io/gh/prompt-toolkit/python-prompt-toolkit/branch/master/graphs/badge.svg?style=flat :target: https://codecov.io/gh/prompt-toolkit/python-prompt-toolkit/

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Python Prompt Toolkit

How do I install Python Prompt Toolkit?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Python Prompt Toolkit safe to use with an AI agent?

Its trust score is 64 out of 100 (good). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Python Prompt Toolkit still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.