Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.

Method: projects.locations.metadataStores.artifacts.delete

Deletes an Artifact.

HTTP request

DELETE https://{service-endpoint}/v1/{name}

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

Parameters

Parameters
`name`	`string` Required. The resource name of the Artifact to delete. Format: `projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}`

name

string

Required. The resource name of the Artifact to delete. Format: projects/{project}/locations/{location}/metadataStores/{metadatastore}/artifacts/{artifact}

Query parameters

Parameters

Parameters
`etag`	`string` Optional. The etag of the Artifact to delete. If this is provided, it must match the server's etag. Otherwise, the request will fail with a FAILED_PRECONDITION.

etag

string

Optional. The etag of the Artifact to delete. If this is provided, it must match the server's etag. Otherwise, the request will fail with a FAILED_PRECONDITION.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of Operation.

Authorization scopes

Requires the following OAuth scope:

https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the name resource:

aiplatform.artifacts.delete

For more information, see the IAM documentation.