gcp-vertexai-custom-job-python-package-environment
Vertex AI Python-package custom jobs can persist literal credentials in their environment values.
Where it sits
| location | aiplatform.projects.locations.customJobs.get.jobSpec.workerPoolSpecs[].pythonPackageSpec.env[].value |
|---|
| location kind | environment_variable |
|---|
| data kinds | credential password api_key access_key secret_key oauth_token connection_string |
|---|
| emits edge | ContainsCredential |
|---|
| service | Vertex AI / Workbench (gcp:vertexai) |
|---|
Collection recipe
| access mode | read_api |
|---|
| operation | aiplatform.projects.locations.customJobs.get |
|---|
| response path | jobSpec.workerPoolSpecs[].pythonPackageSpec.env[].value |
|---|
| encoding | list |
|---|
| params | {"name": "\u003cresource-name\u003e"} |
|---|
Required permissions
aiplatform.customJobs.get
References