semvec/pypi-packages huggingface dataset:
typical-phrase-splitter 0.2.14
A package to split sentences into typical segments using OpenAI API

# Typical Phrase Splitter

A Python package that splits sentences into typical segments using OpenAI API.

## Installation

To install this package, run:

```bash
pip install typical-phrase-splitter

python -m spacy download en_core_web_sm

```

## Command-Line Usage

After installation, you can use the split-phrase command to split sentences into typical segments. The syntax is as follows:

```bash
split-phrase "[sentence]" "[your-openai-api-key]"
```

Optional Flags: 
-n, --num_queries (Number of times to query the API. Default is 1; if greater than 1, majority voting will be used to determine the typical segments.)

-f, --format (Output format, "json" for structured output with last_atypical_phrase, "list" for a plain list assuming no last_atypical_phrase. Default is "json")
readyview 1.8.0
ReadyLinks ReadyView API library.
Requires Python: >=3.8

# ReadyView Dashboard Python Library

The ReadyView Dashboard Python library provides all current ReadyView [dashboard API](https://api.readylinks.io/redoc) calls to interface with the ReadyLinks ReadyView cloud-managed platform. ReadyView generates the library based on dashboard API's OpenAPI spec to keep it up to date with the latest API releases, and provides the full source code for the library including the tools used to generate the library. ReadyLinks welcomes constructive pull requests that maintain backwards compatibility with prior versions. The library requires Python 3.10+, receives support from the community, and you can install it via [PyPI](https://pypi.org/project/readyview/):

```
pip install --upgrdade readyview
```

## Usage
1. Export your Organization ID and API Key as an environment variable, for example:
```
export READYVIEW_DASHBOARD_ORG_ID=YOUR_ORG_ID
export READYVIEW_DASHBOARD_API_KEY=YOUR_API_KEY
```
2. Import the library with a single line at the top of your Python script.
```
import readyview
```
3. Instantiate the dashboard client. 
```
dashboard = readyview.Dashboard()
```
4. Start programmatically interacting with your ReadyView dashboard!
```
my_networks = dashboard.network.get_networks()
```
ai-cat 0.0.2
Computer assisted tasks
Requires Python: >=3.11

# CAT: A git-based system for running AI agents

Hello there! 

Would you like to have agents running as background processes on your repos?

Unlike other agents, your cat agents run indefinitely and only stop when they hit a token limit or time limit. 

A cat agent uses your git history as context to choose its next steps. 

Inspired by Linux and git, this is cat. Cat can mean:

- Computer Assisted Taskrunner
- Cute AI Toolkit
- a feline animal
- whatever you'd like it to mean

Caution: cat agents runs completely locally so treat your agent nicely and don't let them run away 🐈
 
## Getting started with this repo

Make sure you have pixi installed.