semvec/pypi-packages huggingface dataset:
kube-debugger 0.0.5
Kube-Debugger is a Kubernetes CLI Tool which will help you debug your cluster
License: MIT
Requires Python: >=3.10

# K8S-Debugger: Diagnose-Your-K8S-Environment
K8S-Debugger is a Kubernetes Diagnosing tool, which helps developers debug what's wrong with their cluster, This will save developers time, as they don't have to deep dive into Logs and try to understand as K8S-Debugger does it for you 

## Version 0.0.1 Features 

1) **Pod Debugging** : The V1 is a start of the project, and this is only going to debug the pod based issues, although there are multiple pod based issues that can occur in a kubernetes cluster, but Apparently most frequent and most occuring errors have been included in this iteration 

2) **AI Feature** : Some Pod based errors in K8S cluster might not be detected by the tool. In that case i would highly encourage you to use --explain feature, ensure to setup GROQ_API_KEY before using the --explain feature 


## Installation 
### PIP Installation
```python
pip install kube-debugger
```
### Git Setup 
**Create venv** 

On Windows 
```bash 
python -m venv venv
venv/Scripts/activate
```

On Linux/MacOs
```bash
python3 -m venv venv
source venv/bin/activate
```

**Clone Repo** 

```bash
git clone https://github.com/Ayushmishra05/KubeDebugger.git 
```


## GROQ API KEY SETUP 

- **Step 1:** Head over to [groq.com](https://groq.com) and get your free API KEY

- **Step 2:** Setup GROQ_API_KEY in your system environment variables 

``` bash
export GROQ_API_KEY=<api_key> 
```
`
⚠️ Remember:  AI is an Experimental feature, and we will soon rollout the working Version 
`

## How To ? 

```bash
kubectl get pods
```

![Output](image-1.png) 

```bash
debug pod pod2
```



## Contributions are Encouraged 

- I would love to know your perspective 
- Create a Pull Request or reach out to me at ayush89718@gmail.com 
- Star the Repository for future references



#### Made with ❤️ for K8S Community by Ayush Mishra
yt-dlp-types 0.0.18
PEP 561 type stubs for yt-dlp.
License: MIT
Requires Python: <3.14,>=3.10
Keywords: pep561, stubs, types, yt-dlp

# yt-dlp-types

[![Python versions](https://img.shields.io/pypi/pyversions/yt-dlp-types.svg?color=blue&logo=python&logoColor=white)](https://www.python.org/)
[![PyPI - Version](https://img.shields.io/pypi/v/yt-dlp-types)](https://pypi.org/project/yt-dlp-types/)
[![GitHub tag (with filter)](https://img.shields.io/github/v/tag/Tatsh/yt-dlp-types)](https://github.com/Tatsh/yt-dlp-types/tags)
[![GitHub commits since latest release (by SemVer including pre-releases)](https://img.shields.io/github/commits-since/Tatsh/yt-dlp-types/v0.0.18/master)](https://github.com/Tatsh/yt-dlp-types/compare/v0.0.18...master)
[![License](https://img.shields.io/github/license/Tatsh/yt-dlp-types)](https://github.com/Tatsh/yt-dlp-types/blob/master/LICENSE.txt)
[![QA](https://github.com/Tatsh/yt-dlp-types/actions/workflows/qa.yml/badge.svg)](https://github.com/Tatsh/yt-dlp-types/actions/workflows/qa.yml)
[![mypy](https://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![Downloads](https://static.pepy.tech/badge/yt-dlp-types/month)](https://pepy.tech/project/yt-dlp-types)
[![Stargazers](https://img.shields.io/github/stars/Tatsh/yt-dlp-types?logo=github&style=flat)](https://github.com/Tatsh/yt-dlp-types/stargazers)

[![@Tatsh](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fpublic.api.bsky.app%2Fxrpc%2Fapp.bsky.actor.getProfile%2F%3Factor%3Ddid%3Aplc%3Auq42idtvuccnmtl57nsucz72%26query%3D%24.followersCount%26style%3Dsocial%26logo%3Dbluesky%26label%3DFollow%2520%40Tatsh&query=%24.followersCount&style=social&logo=bluesky&label=Follow%20%40Tatsh)](https://bsky.app/profile/tatsh.bsky.social)
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PEP 561 type stubs for yt-dlp.

## Deprecated

Use [types-yt-dlp](https://pypi.org/project/types-yt-dlp/).

## Installation

### Poetry

```shell
poetry add yt-dlp-types
```

### Pip

```shell
pip install yt-dlp-types
```
mosaic-mind 0.0.1a3
Add your description here
License: MIT
Requires Python: >=3.9

# Mosaic

A Python library for AI/ML operations with LLM and embedding support.

## Quick Start

```python
from mosaic.core.ai.llm import OpenAILLM

llm = OpenAILLM(api_key="your-api-key")
response = llm.generate("Hello, world!")
print(response.content)
```

## Installation

```bash
pip install mosaic-mind
```

## What is Mosaic?
Mosaic is a Python library designed for building sophisticated multi-agent orchestration systems. It provides the foundation for creating intelligent, collaborative agents that can work together to solve complex tasks.

### Core Capabilities

- **Multi-Agent Orchestration**: Coordinate multiple specialized agents to work together
- **Intelligent Task Distribution**: Automatically assign and route tasks to appropriate agents
- **Agent Communication**: Enable agents to communicate, share information, and collaborate
- **Workflow Automation**: Define and execute complex multi-step workflows
- **AI Integration**: Seamless integration with various LLM providers (OpenAI, Google Gemini)
- **Embedding Support**: Vector-based knowledge representation and retrieval

### Key Features

- **Modular Agent Architecture**: Create specialized agents for different tasks
- **Dynamic Task Routing**: Intelligent task assignment based on agent capabilities
- **State Management**: Track and manage agent states and conversation history
- **Error Recovery**: Built-in retry logic and error handling for robust operation
- **Extensible Design**: Easy to add new agent types and orchestration patterns

## Documentation

- [📚 Full Documentation](docs/) - Complete API reference and guides
- [🚀 Getting Started](docs/getting-started.md) - Installation and basic usage
- [🔧 Contributing](CONTRIBUTING.md) - Development setup and guidelines

## Quick Examples

### Text Generation
```python
from mosaic.core.ai.llm import OpenAILLM

llm = OpenAILLM(api_key="your-api-key")
response = llm.generate("Explain quantum computing in simple terms")
print(response.content)
```

### Embeddings
```python
from mosaic.core.ai.embedding import OpenAIEmbedding

embedding = OpenAIEmbedding(api_key="your-api-key")
embeddings = embedding.embed(["Hello world", "Goodbye world"])
print(embeddings)
```

### Token Counting
```python
from mosaic.core.ai.llm import OpenAILLM

llm = OpenAILLM(api_key="your-api-key")
response = await llm.response("Count the tokens in this text")
print(f"Tokens used: {response.usage.total_tokens}")
```

## License

MIT License - see LICENSE file for details.MIT License - see LICENSE file for details.