This release is a pre-release and may not be stable for production use.
GLLM Core
Description
A core library providing foundational components and utilities for Generative AI applications.
Installation
Prerequisites
Mandatory:
- Python 3.11+ — Install here
- pip — Install here
- uv — Install here
Extras (required only for Artifact Registry installations):
- gcloud CLI (for authentication) — Install here, then log in using:
gcloud auth login
Option 1: Install from Artifact Registry
This option requires authentication via the gcloud CLI.
uv pip install \
--extra-index-url "https://oauth2accesstoken:$(gcloud auth print-access-token)@glsdk.gdplabs.id/gen-ai-internal/simple/" \
gllm-core
Option 2: Install from PyPI
This option requires no authentication. However, it installs the binary wheel version of the package, which is fully usable but does not include source code.
uv pip install gllm-core-binary
Local Development Setup
Prerequisites
-
Python 3.11+ — Install here
-
pip — Install here
-
uv — Install here
-
gcloud CLI — Install here, then log in using:
gcloud auth login
-
Git — Install here
-
Access to the GDP Labs SDK GitHub repository
1. Clone Repository
git clone git@github.com:GDP-ADMIN/gl-sdk.git
cd gl-sdk/libs/gllm-core
2. Setup Authentication
Set the following environment variables to authenticate with internal package indexes:
export UV_INDEX_GEN_AI_INTERNAL_USERNAME=oauth2accesstoken
export UV_INDEX_GEN_AI_INTERNAL_PASSWORD="$(gcloud auth print-access-token)"
export UV_INDEX_GEN_AI_USERNAME=oauth2accesstoken
export UV_INDEX_GEN_AI_PASSWORD="$(gcloud auth print-access-token)"
3. Quick Setup
Run:
make setup
4. Activate Virtual Environment
source .venv/bin/activate
Local Development Utilities
The following Makefile commands are available for quick operations:
Install uv
make install-uv
Install Pre-Commit
make install-pre-commit
Install Dependencies
make install
Update Dependencies
make update
Run Tests
make test
Contributing
Please refer to the Python Style Guide for information about code style, documentation standards, and SCA requirements.
1 maintainer
Metadata
1 maintainer
Release files for gllm-core-binary 0.4.50b1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 8.1 MB
Release files / gllm_core_binary-0.4.50b1-cp313-cp313-win_amd64.whl
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| Tags | CPython 3.13 Windows x86-64 |
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| Uploaded via |
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Release files / gllm_core_binary-0.4.50b1-cp313-cp313-macosx_13_0_arm64.whl
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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Transparency logRelease files / gllm_core_binary-0.4.50b1-cp312-cp312-win_amd64.whl
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| Tags | CPython 3.12 Windows x86-64 |
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| Uploaded via |
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Yes |
| Uploaded via |
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Release files / gllm_core_binary-0.4.50b1-cp312-cp312-macosx_13_0_arm64.whl
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| Uploaded via |
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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.
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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Transparency logRelease files / gllm_core_binary-0.4.50b1-cp311-cp311-manylinux_2_36_x86_64.whl
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Release files / gllm_core_binary-0.4.50b1-cp311-cp311-macosx_13_0_arm64.whl
| Download URL | gllm_core_binary-0.4.50b1-cp311-cp311-macosx_13_0_arm64.whl |
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| Size | 810.3 kB |
| Tags | CPython 3.11 macOS 13.0+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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