wordcel

Name	wordcel JSON
Version	0.4.2 JSON
	download
home_page	None
Summary	Swiss army-knife for composing LLM outputs
upload_time	2025-07-09 23:40:34
maintainer	None
docs_url	None
author	Andrew Han
requires_python	<4.0,>=3.9
license	None
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
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            <p align="center">
	<img src="assets/sun.jpeg" height="400" />
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# 😶 Wordcel

`wordcel` is a library of functions that provides a set of common tools for working with large language models.

Candidly, it is mostly a set of functions that I myself use on a regular basis — my own personal Swiss army knife. 

## Installation

You can simply `pip install wordcel`.

## Documentation

- [LLM APIs](docs/llms.md): Wrapper functions over the most common LLM APIs.
- [RAG](docs/rag.md): Helper functions for RAG, and a minimal implementation of Anthropic's "Contextual Retrieval" method. 
- [featurize](docs/featurize.md): Helper functions for multithreaded inference over text columns in pandas DataFrames.
- [DAG](docs/dag.md): WordcelDAG is a flexible and extensible framework for defining and executing Directed Acyclic Graphs (DAGs) of data processing tasks, particularly involving LLMs and dataframes. 

There is also a nascent CLI. `wordcel --help`:

```
Usage: wordcel [OPTIONS] COMMAND [ARGS]...

  Wordcel CLI.

Options:
  --help  Show this message and exit.

Commands:
  dag  WordcelDAG commands.
```
            

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