semvec/pypi-packages huggingface dataset:
cachesaver 0.0.3
A caching library built with LLM experiments in mind
Requires Python: >=3.10

# Cachesaver
Cachesaver is a high-efficiency caching library for experiments with large language models (LLMs), designed to minimize costs, improve reproducibility, and streamline debugging. The library enables caching of multiple responses per query, tracks usage for unique sampling across runs, and ensures statistical integrity. Built on Python’s `asyncio`, Cachesaver supports asynchronous execution, request batching, prompt deduplication, and race-condition prevention.

```python
from cachesaver.models.openai import AsyncOpenAI

client = AsyncOpenAI(batch_size=2)

resp = await client.chat.completions.create(
    model="gpt-4.1-nano",
    messages=[
        {"role": "user", "content": "What's the capital of France?"}
    ]
)
```
tacozip 0.12.0
The ZIP container for TACO files
Requires Python: >=3.8
Keywords: zip, archive, parquet, metadata

# tacozip-python

[![PyPI](https://img.shields.io/pypi/v/tacozip.svg)](https://pypi.python.org/pypi/tacozip)
[![PyPI - Wheel](https://img.shields.io/pypi/wheel/tacozip)](https://pypi.org/project/tacozip/#files)
[![Tests](https://github.com/tacofoundation/tacozip/actions/workflows/test_py.yml/badge.svg)](https://github.com/tacofoundation/tacozip/actions/workflows/test_py.yml)
[![codecov](https://codecov.io/gh/tacofoundation/tacozip/graph/badge.svg?token=cFqgSRDqmC)](https://codecov.io/gh/tacofoundation/tacozip)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![BlueSky](https://img.shields.io/badge/bluesky-tacofoundation-1185fe?labelColor=000000&logo=bluesky)](https://bsky.app/profile/tacofoundation.bsky.social)


Regular ZIP (STORE-only) writer with libzip backend and TACO Header at byte 0

# Install

```bash
pip install tacozip
```