semvec/pypi-packages huggingface dataset:
sunsuku 0.1.2
LLMAI API Wrapper
License: MIT
Requires Python: <4.0,>=3.10

# Sunsuku

Sunsuku is a Python package that simplifies interactions with multiple large language models (LLMs) from different providers such as OpenAI(GPT), Anthropic (Claude), and Google (Gemini). This package allows you to easily switch between different AI models and manage their configurations in a unified way.

## Features
- Multiple LLM Providers: Supports integration with OpenAI, Claude (Anthropic), and Gemini (Google).
- Unified Interface: Provides a simple API to add, configure, and use models from different providers.
- Text Generation: Allows you to generate text with different AI models using a consistent interface.
- Model Configuration: Dynamically configure models and switch between different ones.
- Clear Message History: Easily clear message history for each model.

## Installation

First, make sure you have Python 3.10 or higher installed. You can install Sunsuku using pip:

```bash
pip install sunsuku
```

alternatively, if you are using poetry:

```bash
poetry add sunsuku
```

## Usage

1.
hemant-193-database-setup 0.0.8
A python package for connecting with database.
License: MIT
Requires Python: >=3.7

# requirements_dev.txt we use for the testing
It makes it easier to install and manage dependencies for development and testing, separate from the dependencies required for production.

# difference between requirements_dev.txt and requirements.txt

requirements.txt is used to specify the dependencies required to run the production code of a Python project, while requirements_dev.txt is used to specify the dependencies required for development and testing purposes.

# tox.ini
We use if for the testing in the python package testing against different version of the python 

## how tox works tox enviornment creation
1. Install depedencies and packages 
2. Run commands
3. Its a combination of the (virtualenvwrapper and makefile)
4. It creates a .tox


# pyproject.toml
it is being used for configuration the python project it is a alternative of the setup.cfg file. its containts configuration related to the build system
such as the build tool used package name version author license and dependencies

# setup.cfg
In summary, setup.cfg is used by setuptools to configure the packaging and installation of a Python projec

# Testing python application
*types of testing*
1. Automated testing 
2. Manual testing

*Mode of testing*
1. Unit testing
2. Integration tests

*Testing frameworks*

1. pytest
2. unittest
3. robotframework
4. selenium
5. behave
6. doctest

# check with the code style formatting and syntax(coding standard)

1. pylint
2. flake8(it is best because it containt 3 library pylint pycodestyle mccabe)
3. pycodestyle