Project description

bodhilib

Bodhilib is a pluggable and extensible LLM framework.

Currently the popular LLM framework tends to do everything by themselves, resulting in extraordinary bloat, Bodhilib is built on top of a plugin architecture, with a very thin core implementing the most critical LLM related operations. Rest of the features and variations are provided by plugins.

Project details

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

0.1.16

Oct 24, 2023

0.1.15

Oct 20, 2023

0.1.11

Oct 15, 2023

0.1.10

Oct 6, 2023

0.1.9

Oct 5, 2023

0.1.8

Oct 5, 2023

0.1.7

Sep 30, 2023

0.1.6

Sep 25, 2023

0.1.5

Sep 8, 2023

0.1.4

Sep 8, 2023

This version

0.1.3

Sep 6, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bodhilib-0.1.3.tar.gz (15.2 kB view hashes)

Uploaded Sep 6, 2023 Source

Built Distribution

bodhilib-0.1.3-py3-none-any.whl (24.2 kB view hashes)

Uploaded Sep 6, 2023 Python 3

Hashes for bodhilib-0.1.3.tar.gz

Hashes for bodhilib-0.1.3.tar.gz
Algorithm	Hash digest
SHA256	`b8637dfad5afcce539f7a76124b618cdd66571445d1e5a98efb88bbd05429ae8`
MD5	`12fab6576d24738f75a013a2695370e9`
BLAKE2b-256	`999b257e7c8a20399042cd673c4634b63d346a242fa0ada42c1e9c2631ac5ac2`

Hashes for bodhilib-0.1.3-py3-none-any.whl

Hashes for bodhilib-0.1.3-py3-none-any.whl
Algorithm	Hash digest
SHA256	`5d2ed3386f6032c9ab226b6be7fd1c2407eb93bea9f33bbcefed48271706a6d8`
MD5	`9d8a613b5a4aa7f8c33e79639ddad523`
BLAKE2b-256	`f472184559e9e045d5ed6ff9a1f97c87b4f66cf0bd0821da1f1c723988e5e56a`