llm-classifiers
Framework to build production-grade LLM-based classifiers
👮 How to contribute
To contribute to this project, you should comply with the following guidelines.
📖 Commit Messages
We follow the Semantic Commit Messages convention. This means that each commit message should be prefixed with a type,
followed by a scope and a message. The message should be in the imperative mood.
The following types are allowed:
[feat]: A new feature.[fix]: A bug fix.[docs]: Documentation only changes.[style]: Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc).[refactor]: A code change that neither fixes a bug nor adds a feature.[perf]: A code change that improves performance.[test]: Adding missing or correcting existing tests.[chore]: Changes to the build process or auxiliary tools and libraries such as documentation generation.[revert]: Reverts a previous commit.[ci]: Changes to our CI configuration files and scripts.
An example of a commit message is:
[feat] description of the scope of the feature.
Description of the changes in the imperative mood.
Changes:
- Change 1
- Change 2
1 maintainer
Metadata
1 maintainer
Release files for llm-classifiers 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| llm_classifiers-0.1.0.tar.gz | 48.7 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_classifiers-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.6 kB
Release files / llm_classifiers-0.1.0.tar.gz
| Download URL | llm_classifiers-0.1.0.tar.gz |
|---|---|
| Size | 48.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6162046bc43624d4f8c253b4632fe15ac165092730996fba5316f7e8aefa3d7a
|
|
BLAKE2b-256 checksum How to use checksums |
2ff469a81437e74b0c5aac44473411cf949fec118214d3a3120607d9bd18c114
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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.
Signed by GitHub Actions, verified by PyPI on Mar 22, 2025.
Transparency logRelease files / llm_classifiers-0.1.0-py3-none-any.whl
| Download URL | llm_classifiers-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
72d9e7cc31d7ef4c2b4c82d929b09f2d16a119ea2b9fff9c87a35945e851c291
|
|
BLAKE2b-256 checksum How to use checksums |
9745bf16788b05bf489926c86ccb925c90aa01caef60a8f4806c2a00002a6317
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
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.
Signed by GitHub Actions, verified by PyPI on Mar 22, 2025.
Transparency logSecurity for llm-classifiers 0.1.0
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for llm_classifiers-0.1.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 22, 2025.
Transparency logA 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.
