Genkit Vertex AI Plugin
Integrate Genkit with Google Cloud Vertex AI Model Garden.
Installation
uv add genkit-vertexai
Usage
from genkit import Genkit
from genkit_vertexai.model_garden import ModelGarden
ai = Genkit(
plugins=[ModelGarden(project_id='my-project', location='us-central1')],
)
res = await ai.generate(
model='modelgarden/anthropic/claude-3-5-sonnet-v2@20241022',
prompt='Explain recursion in 10 words.',
)
print(res.text)
Requires Google Cloud Application Default Credentials (ADC) or explicit credentials.
Release files for genkit-vertexai 0.12.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| genkit_vertexai-0.12.0.tar.gz | 12.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| genkit_vertexai-0.12.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.4 kB
Release files / genkit_vertexai-0.12.0.tar.gz
| Download URL | genkit_vertexai-0.12.0.tar.gz |
|---|---|
| Size | 12.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8da7ead808b0517a10c286ad3bb410fe54bfe469bfff895f3a2d0701f03d9cd7
|
|
BLAKE2b-256 checksum How to use checksums |
7bf9ed251842fa727deb99ec546cee0344f676cfb32fbf436aaa30198ec62f0b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Sep 24, 2026.
Transparency logRelease files / genkit_vertexai-0.12.0-py3-none-any.whl
| Download URL | genkit_vertexai-0.12.0-py3-none-any.whl |
|---|---|
| Size | 16.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
532942bb0410b5c3e8b45c1b33cca245916940f4827a76383fcfdbbb9f3aa272
|
|
BLAKE2b-256 checksum How to use checksums |
b33ec3d6870fce62901c6709dca55f3767671f059f256e53139a91389a35a8bd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Sep 24, 2026.
Transparency log
