# Kedro Vertex AI Plugin
[](https://github.com/getindata/kedro-vertexai)
[](https://opensource.org/licenses/Apache-2.0)
[](https://semver.org/)
[](https://pypi.org/project/kedro-vertexai/)
[](https://pepy.tech/project/kedro-vertexai)
[](https://sonarcloud.io/summary/new_code?id=getindata_kedro-vertexai)
[](https://sonarcloud.io/summary/new_code?id=getindata_kedro-vertexai)
[](https://kedro-vertexai.readthedocs.io/en/latest/?badge=latest)
## About
The main purpose of this plugin is to enable running kedro pipeline on Google Cloud Platform - Vertex AI Pipelines.
It supports translation from Kedro pipeline DSL to [kfp](https://www.kubeflow.org/docs/pipelines/sdk/sdk-overview/)
(pipelines SDK) and deployment to Vertex AI service with some convenient commands.
The plugin can be used together with `kedro-docker` to simplify preparation of docker image for pipeline execution.
## Documentation
For detailed documentation refer to https://kedro-vertexai.readthedocs.io/
## Usage guide
```
Usage: kedro vertexai [OPTIONS] COMMAND [ARGS]...
Interact with Google Cloud Platform :: Vertex AI Pipelines
Options:
-e, --env TEXT Environment to use.
-h, --help Show this message and exit.
Commands:
compile Translates Kedro pipeline into JSON file with Kubeflow...
init Initializes configuration for the plugin
list-pipelines List deployed pipeline definitions
run-once Deploy pipeline as a single run within given experiment.
ui Open VertexAI Pipelines UI in new browser tab
```
## Configuration file
`kedro init` generates configuration file for the plugin, but users may want to adjust it to match the run environment
requirements. Check documentation for details - [kedro-vertexai.readthedocs.io](https://kedro-vertexai.readthedocs.io/en/latest/source/02_installation/02_configuration.html)
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