Пакет: debgpt (0.4.94)

[ Източник: debgpt  ]

Chatting LLM with Debian-Specific Knowledge

Large language models (LLMs) are newly emerged tools, which are capable of handling tasks that traditional software could never achieve, such as writing code based on the specification provided by the user. In this tool, we attempt to experiment and explore the possibility of leveraging LLMs to aid Debian development, in any extent.

Essentially, the idea of this tool is to gather some pieces of Debian-specific knowledge, combine them together in a prompt, and then send them all to the LLM. This tool provides convenient functionality for automatically retrieving information from BTS, buildd, Debian Policy, system manual pages, tldr manuals, Debian Developer References, etc. It also provides convenient wrappers for external tools such as git, where debgpt can automatically generate the git commit message and commit the changes for you.

This tool supports multiple frontends, including OpenAI and ZMQ. The ZMQ frontend/backend are provided in this tool to make it self-contained.

Други пакети, свързани с debgpt

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-bs4

  error-tolerant HTML parser for Python 3

• dep: python3-openai

  OpenAI Python API library

• dep: python3-prompt-toolkit

  library for building interactive command lines (Python 3)

• dep: python3-requests

  elegant and simple HTTP library for Python3, built for human beings

• dep: python3-rich

  render rich text, tables, progress bars, syntax highlighting, markdown and more

• dep: python3-tomli

  lil' TOML parser for Python

• rec: git

  fast, scalable, distributed revision control system

• rec: man-db

  tools for reading manual pages

• rec: python3-zmq

  Python3 bindings for 0MQ library

• rec: tldr

  transitional package

• sug: python3-torch

  Tensors and Dynamic neural networks in Python (Python Interface)

  или python3-torch-cuda

  Tensors and Dynamic neural networks in Python (Python Interface)

  или python3-torch-rocm

  Пакетът не е наличен

• sug: python3-transformers

  Пакетът не е наличен

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Архитектура	Големина на пакета	Големина след инсталиране	Файлове
all	32,8 кБ	125,0 кБ	[списък на файловете]