semvec/pypi-packages huggingface dataset:
murmurhash 1.0.15
Cython bindings for MurmurHash
License: MIT
Requires Python: <3.15,>=3.6

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# Cython bindings for MurmurHash2

[![tests](https://github.com/explosion/murmurhash/actions/workflows/tests.yml/badge.svg)](https://github.com/explosion/murmurhash/actions/workflows/tests.yml)
[![pypi Version](https://img.shields.io/pypi/v/murmurhash.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.python.org/pypi/murmurhash)
[![conda Version](https://img.shields.io/conda/vn/conda-forge/murmurhash.svg?style=flat-square&logo=conda-forge&logoColor=white)](https://anaconda.org/conda-forge/murmurhash)
[![Python wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&style=flat-square&logo=python&logoColor=white)](https://github.com/explosion/wheelwright/releases)
logsentinel 0.1.2
AI-powered log monitoring SDK for Python applications
License: MIT
Requires Python: >=3.9

# LogSentinel Python SDK

LogSentinel is a lightweight SDK for monitoring and analyzing logs in Python applications. It automatically captures request and response data, builds detailed metadata, and sends them to the LogSentinel AI platform for analysis.

## Installation

```bash
pip install logsentinel
```

## Setup

1. Go to the [LogSentinel Dashboard](https://sentinel.ivps.cloud) and create an API key.
2. Add it to your environment variables:

```bash
export LOGSENTINEL_API_KEY="your_api_key_here"
```

## Example (FastAPI)

```python
from fastapi import FastAPI
from logosentinel import LogSentinelASGIMiddleware

app = FastAPI()
app.add_middleware(LogSentinelASGIMiddleware)

@app.post("/hello")
async def hello(data: dict):
    return {"message": "Hello, world!", "received": data}
```

Logs will automatically be captured and sent to your LogSentinel dashboard for AI analysis.

## License

MIT License