chore: Update discovery artifacts (#2509)

## Deleted keys were detected in the following stable discovery artifacts:
aiplatform v1 https://togithub.com/googleapis/google-api-python-client/commit/b153244e0f9a4f5c4728baff9d8d98156e2c030c

## Discovery Artifact Change Summary:
feat(aiplatform): update the api https://togithub.com/googleapis/google-api-python-client/commit/b153244e0f9a4f5c4728baff9d8d98156e2c030c
feat(checks): update the api https://togithub.com/googleapis/google-api-python-client/commit/a8cfcf22cb51772aea978eac8bb80fa313bacc74
feat(cloudbuild): update the api https://togithub.com/googleapis/google-api-python-client/commit/53a22f02b587146f16592a0a7508505487f4dedf
feat(compute): update the api https://togithub.com/googleapis/google-api-python-client/commit/8fe597511f9d281d1d7a1f8ff512dee545d9014c
feat(container): update the api https://togithub.com/googleapis/google-api-python-client/commit/a694aa604a1b4237ffcd764df4cad69d8725c7f6
feat(discoveryengine): update the api https://togithub.com/googleapis/google-api-python-client/commit/3d4eb75730bd4d210b013e44ed0a50a7bb48af66
feat(firebaseappdistribution): update the api https://togithub.com/googleapis/google-api-python-client/commit/832401daefb81e7aa966179744d1f3ff453281ce
feat(iamcredentials): update the api https://togithub.com/googleapis/google-api-python-client/commit/d29235d7733ffd9b7b16b5232cf785a2c668a5ca
feat(identitytoolkit): update the api https://togithub.com/googleapis/google-api-python-client/commit/d7f6f8b70361d19d02afcd9eba3d873402bafdb7
feat(places): update the api https://togithub.com/googleapis/google-api-python-client/commit/ecbf5838271506387683be17e0722a901121cff9
feat(retail): update the api https://togithub.com/googleapis/google-api-python-client/commit/eb919ff3667b351f828bd5a86fd2cacd1b9b2e25
feat(run): update the api https://togithub.com/googleapis/google-api-python-client/commit/4975f964aa9667c8413efe05c11746be6ffec47e
feat(securitycenter): update the api https://togithub.com/googleapis/google-api-python-client/commit/e0dff0cd57e15a4630b83303b2914842cf37dc2a
feat(spanner): update the api https://togithub.com/googleapis/google-api-python-client/commit/4f40ad990e69247d4256c0f3d1bcad87dfa232f8
feat(speech): update the api https://togithub.com/googleapis/google-api-python-client/commit/93d4fe8f6f7b366141b8ccdadaf00b4a6729f2b3
fix(workspaceevents): update the api https://togithub.com/googleapis/google-api-python-client/commit/878a1cefd3e88c3c9736ae394f2133c87deb6311

docs/dyn/aiplatform_v1.endpoints.html

@@ -754,6 +754,7 @@ <h3>Method Details</h3>
         &quot;groundingChunks&quot;: [ # List of supporting references retrieved from specified grounding source.
           { # Grounding chunk.
             &quot;retrievedContext&quot;: { # Chunk from context retrieved by the retrieval tools. # Grounding chunk from context retrieved by the retrieval tools.
+              &quot;text&quot;: &quot;A String&quot;, # Text of the attribution.
               &quot;title&quot;: &quot;A String&quot;, # Title of the attribution.
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the attribution.
             },
@@ -1172,6 +1173,7 @@ <h3>Method Details</h3>
         &quot;groundingChunks&quot;: [ # List of supporting references retrieved from specified grounding source.
           { # Grounding chunk.
             &quot;retrievedContext&quot;: { # Chunk from context retrieved by the retrieval tools. # Grounding chunk from context retrieved by the retrieval tools.
+              &quot;text&quot;: &quot;A String&quot;, # Text of the attribution.
               &quot;title&quot;: &quot;A String&quot;, # Title of the attribution.
               &quot;uri&quot;: &quot;A String&quot;, # URI reference of the attribution.
             },

docs/dyn/aiplatform_v1.projects.locations.customJobs.html

@@ -169,8 +169,6 @@ <h3>Method Details</h3>
     &quot;network&quot;: &quot;A String&quot;, # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
     &quot;persistentResourceId&quot;: &quot;A String&quot;, # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
     &quot;protectedArtifactLocationId&quot;: &quot;A String&quot;, # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
-    &quot;pscInterfaceConfig&quot;: { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob.
-    },
     &quot;reservedIpRanges&quot;: [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
       &quot;A String&quot;,
     ],
@@ -296,8 +294,6 @@ <h3>Method Details</h3>
     &quot;network&quot;: &quot;A String&quot;, # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
     &quot;persistentResourceId&quot;: &quot;A String&quot;, # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
     &quot;protectedArtifactLocationId&quot;: &quot;A String&quot;, # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
-    &quot;pscInterfaceConfig&quot;: { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob.
-    },
     &quot;reservedIpRanges&quot;: [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
       &quot;A String&quot;,
     ],
@@ -465,8 +461,6 @@ <h3>Method Details</h3>
     &quot;network&quot;: &quot;A String&quot;, # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
     &quot;persistentResourceId&quot;: &quot;A String&quot;, # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
     &quot;protectedArtifactLocationId&quot;: &quot;A String&quot;, # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
-    &quot;pscInterfaceConfig&quot;: { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob.
-    },
     &quot;reservedIpRanges&quot;: [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
       &quot;A String&quot;,
     ],
@@ -605,8 +599,6 @@ <h3>Method Details</h3>
         &quot;network&quot;: &quot;A String&quot;, # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
         &quot;persistentResourceId&quot;: &quot;A String&quot;, # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
         &quot;protectedArtifactLocationId&quot;: &quot;A String&quot;, # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
-        &quot;pscInterfaceConfig&quot;: { # Configuration for PSC-I. # Optional. Configuration for PSC-I for CustomJob.
-        },
         &quot;reservedIpRanges&quot;: [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: [&#x27;vertex-ai-ip-range&#x27;].
           &quot;A String&quot;,
         ],

docs/dyn/aiplatform_v1.projects.locations.deploymentResourcePools.html

@@ -599,6 +599,9 @@ <h3>Method Details</h3>
       },
       &quot;serviceAccount&quot;: &quot;A String&quot;, # The service account that the DeployedModel&#x27;s container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn&#x27;t have access to the resource project. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
       &quot;sharedResources&quot;: &quot;A String&quot;, # The resource name of the shared DeploymentResourcePool to deploy on. Format: `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
+      &quot;systemLabels&quot;: { # System labels to apply to Model Garden deployments. System labels are managed by Google for internal use only.
+        &quot;a_key&quot;: &quot;A String&quot;,
+      },
     },
   ],
   &quot;nextPageToken&quot;: &quot;A String&quot;, # A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.