| Name | wordcel JSON |
| Version |
0.2.57
JSON |
| download |
| home_page | None |
| Summary | Swiss army-knife for composing LLM outputs |
| upload_time | 2024-12-08 20:45:25 |
| maintainer | None |
| docs_url | None |
| author | Andrew Han |
| requires_python | <4.0,>=3.9 |
| license | None |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
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<p align="center">
<img src="assets/sun.jpeg" height="400" />
</p>
# 😶 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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