Skip to main content

Portability lib for OpenAI, Hugging Face, and FastChat local model APIs

PyPI Changelog Tests License

This library was written for examples in a book I wrote

You can read my book free online or can be purchased:

Safe For Humans AI - A "humans-first" approach to designing and building AI systems

Supported APIs

  • get_completion(prompt, max_tokens=64)
  • create_local_embeddings_files_in_dir(path_to_document_files_dir)
  • query_local_embeddings(query)

These APIs are implemented separately in two Python classes:

  • OpenAiWrapper
  • HuggingFaceAiWrapper

Supported APIs and Models

Currently this compatibiolity library only works with selected OpenAI APIs and the small Hugging Face model facebook/opt-iml-1.3b that can be run locally on a laptop with no GPU and only 8G of RAM.

Run the example programs:

python test_completion_openai.py
python test_local_index_openai.py
python test_completion_hf.py
python test_local_index_hf.py

Metadata

Release files for llmlib 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for llmlib 0.2.0
File Size Uploaded Provenance Actions
llmlib-0.2.0.tar.gz 8.0 kB Without provenance Details for llmlib-0.2.0.tar.gz

Release files / llmlib-0.2.0.tar.gz

Download URL llmlib-0.2.0.tar.gz
Size 8.0 kB
Tags Source
SHA-256 checksum
How to use checksums
bc37367129c48bdd74f29e7f65718602d5aaf045e68fc4273ab5513ff7ff1af6
BLAKE2b-256 checksum
How to use checksums
5c5ce2d33371d62c9d884d7b9c4249baf2b07c3522774df8d9fd9ab5db7846de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.10.8

Security for llmlib 0.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.2.0 This release

1 release file No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page