semvec/pypi-packages huggingface dataset:
ortei 0.1.1
ONNX-Runtime-Engine-Interface
Requires Python: >=3.8
Keywords: 404Vector,ortei

# Package.ONNX-Runtime-Engine-Interface

ONNX Runtime으로 Engine을 만들 때 공통으로 사용할 수 있는 Interface를 제공합니다.

## Status

[![Basic PR Check](https://github.com/404Vector/Package.ONNX-Runtime-Engine-Interface/actions/workflows/workflow_pr_check_basic.yml/badge.svg?branch=main)](https://github.com/404Vector/Package.ONNX-Runtime-Engine-Interface/actions/workflows/workflow_pr_check_basic.yml)
ConnectLM 0.0.1
Language Model Proxy
Requires Python: >=3.10
Keywords: chatbot,ai,ml,llm

# ConnectLM

The goal of ConnectLM is providing python library that enables developers to effortlessly interface with various LLMs such as OpenAI's GPT-4, Google's BERT, and others. 

This package encapsulates the complex interactions with these LLMs behind intuitive and user-friendly proxy classes, allowing developers to focus on leveraging the power of these advanced models, without being bogged down by intricate API details and interfacing code.

## Features (WIP)

1. **Multiple LLM Support:** The package supports multiple LLMs, including but not limited to GPT-4, BERT, and others. It is also designed with flexibility in mind to accommodate future models.

2. **Uniform API:** It provides a uniform API for different LLMs, allowing developers to switch between models without the need to extensively change the codebase.

3. **Error Handling:** It includes built-in error handling and retry logic, ensuring that your application remains resilient against minor network hiccups and transient errors.

4. **Optimized Performance:** With caching and other optimizations, this package makes sure you get the best possible performance out of your chosen LLM.

5. **Asynchronous Support:** For developers who require high performance and non-blocking code execution, this package offers asynchronous methods.

## Installation

You can install the `connectlm` package via pip:

```bash
pip install connectlm
```


## Quickstart

Here's an example of how to connect to ChatGPT and use it to generate text:

```python
import connectlm as cm

query = cm.QueryChat()
while (prompt := input("you : ")) != "exit":
    message = query.send(prompt)
    print(f"\n{message['role']} : {message['content']}\n")
```


## Documentation

For detailed information on using this package, please refer to our [documentation](link_to_documentation).


## Contributing

We welcome contributions! Please see our [contributing guidelines](link_to_contributing_guidelines) for details.


## License

This project is licensed under the terms of the MIT license. See [LICENSE](link_to_license) for more details.
opprint 1.0.3
Override print formatter
Requires Python: >=3.6,<4.0

## installation ##
```
python3 -m pip install opprint
```

## usage ##
op(***arg***, ***var***=None, ***format***=False, ***yml***=False)
```
from opprint import op
greeting = 'hello world!'

# basic
op(greeting)

# with label
op('op says...', greeting)

# with standard format
op(greeting, format=True)

# with yaml format
op(greeting, format=True, yml=True)

# with all params
op('op says...', greeting, format=True, yml=True)
```