This release is a pre-release and may not be stable for production use.
aurekai
Thin Python bridge for Aurekai, the operating fabric for intelligent work.
Install
python3 -m pip install aurekai
python3 -m aurekai --version
Commands
python3 -m aurekai --version
python3 -m aurekai doctor
python3 -m aurekai manifest ./aurekai.manifest.json
Python API
from aurekai import artifact_uri, validate_manifest
manifest = validate_manifest("./aurekai.manifest.json")
print(manifest["schema_version"])
print(artifact_uri("sha256:deadbeef"))
The package validates Aurekai deployment manifests and can shell out to the
installed akai CLI for runtime health checks.
1 maintainer
Metadata
1 maintainer
Release files for aurekai 0.8.0a3
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 | |
|---|---|---|---|---|
| aurekai-0.8.0a3.tar.gz | 6.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aurekai-0.8.0a3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.1 kB
Release files / aurekai-0.8.0a3.tar.gz
| Download URL | aurekai-0.8.0a3.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Release files / aurekai-0.8.0a3-py3-none-any.whl
| Download URL | aurekai-0.8.0a3-py3-none-any.whl |
|---|---|
| Size | 7.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Security for aurekai 0.8.0a3
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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