chore: Update discovery artifacts (#2535)

## Deleted keys were detected in the following stable discovery artifacts:
aiplatform v1 https://github.com/googleapis/google-api-python-client/commit/0fbab090c86f7d713e53999fc677ccd1bd6a7d4a
contactcenterinsights v1 https://github.com/googleapis/google-api-python-client/commit/8d6384e7594437ebc8eb7c63bc64e59dd7d47195
discoveryengine v1 https://github.com/googleapis/google-api-python-client/commit/7382301efa7da540ec145dc5bd4b0430eee8ccc8
file v1 https://github.com/googleapis/google-api-python-client/commit/207265e8f1e722955810deb4f55043ef957c736a
gkehub v2 https://github.com/googleapis/google-api-python-client/commit/8d1e066c08a7c11bbf2a6552de47238e001acc1f
oracledatabase v1 https://github.com/googleapis/google-api-python-client/commit/8fb19ea990b0b494fd778a7c42eb50df0096c843
privateca v1 https://github.com/googleapis/google-api-python-client/commit/8f7e7cd55d04e260c6f665907e07979295a1e809

## Deleted keys were detected in the following pre-stable discovery artifacts:
aiplatform v1beta1 https://github.com/googleapis/google-api-python-client/commit/0fbab090c86f7d713e53999fc677ccd1bd6a7d4a
discoveryengine v1alpha https://github.com/googleapis/google-api-python-client/commit/7382301efa7da540ec145dc5bd4b0430eee8ccc8
discoveryengine v1beta https://github.com/googleapis/google-api-python-client/commit/7382301efa7da540ec145dc5bd4b0430eee8ccc8
file v1beta1 https://github.com/googleapis/google-api-python-client/commit/207265e8f1e722955810deb4f55043ef957c736a
gkehub v2alpha https://github.com/googleapis/google-api-python-client/commit/8d1e066c08a7c11bbf2a6552de47238e001acc1f
gkehub v2beta https://github.com/googleapis/google-api-python-client/commit/8d1e066c08a7c11bbf2a6552de47238e001acc1f

## Discovery Artifact Change Summary:
feat(aiplatform): update the api https://github.com/googleapis/google-api-python-client/commit/0fbab090c86f7d713e53999fc677ccd1bd6a7d4a
feat(alloydb): update the api https://github.com/googleapis/google-api-python-client/commit/c96427663cd7586b4cfee8a27d63f5fdf1346059
feat(artifactregistry): update the api https://github.com/googleapis/google-api-python-client/commit/8d0b829898a388d98e618d739fb5826c165dea92
feat(assuredworkloads): update the api https://github.com/googleapis/google-api-python-client/commit/babb16c8212bce1b47d6e68163dbe9634e0994ce
feat(backupdr): update the api https://github.com/googleapis/google-api-python-client/commit/4c3708d744c4bc927898c71dde476a142e68583e
feat(bigqueryreservation): update the api https://github.com/googleapis/google-api-python-client/commit/d0440733cf1abd0ca108efe26387d280d2363b9b
feat(chat): update the api https://github.com/googleapis/google-api-python-client/commit/d55bedd5bc4e4f51d536c2bbe878590b9f7edf8c
feat(cloudbuild): update the api https://github.com/googleapis/google-api-python-client/commit/2c59d35bbca6ba0332383d1239e66c9592e11783
feat(cloudidentity): update the api https://github.com/googleapis/google-api-python-client/commit/8611287c987b6cb1b1215634cdae5fd8b814befd
feat(config): update the api https://github.com/googleapis/google-api-python-client/commit/c24589101a94cd10146e1b8ba00953c341d27b2a
feat(contactcenterinsights): update the api https://github.com/googleapis/google-api-python-client/commit/8d6384e7594437ebc8eb7c63bc64e59dd7d47195
feat(container): update the api https://github.com/googleapis/google-api-python-client/commit/cf47608a01fda94e0ee784b975f9fdfc60551b52
feat(css): update the api https://github.com/googleapis/google-api-python-client/commit/57b49f15006326de4c59a42ad3f0958c0e814896
feat(dataflow): update the api https://github.com/googleapis/google-api-python-client/commit/f06410352c39947888a9a5b8c3f8c2f2af2717d7
feat(datamigration): update the api https://github.com/googleapis/google-api-python-client/commit/283d79d092fafdf1eafc70fa34440be83f0f50aa
feat(dataplex): update the api https://github.com/googleapis/google-api-python-client/commit/deb509a4ee35381c0d9ee663ef8a6ef62748449f
feat(datastream): update the api https://github.com/googleapis/google-api-python-client/commit/d0e9430f072b7b5ca1d78a80e145d95e45e5ce2f
feat(dialogflow): update the api https://github.com/googleapis/google-api-python-client/commit/939d19613aa9b7230470c0da1dc42cb478e4461a
feat(discoveryengine): update the api https://github.com/googleapis/google-api-python-client/commit/7382301efa7da540ec145dc5bd4b0430eee8ccc8
feat(file): update the api https://github.com/googleapis/google-api-python-client/commit/207265e8f1e722955810deb4f55043ef957c736a
feat(gkehub): update the api https://github.com/googleapis/google-api-python-client/commit/8d1e066c08a7c11bbf2a6552de47238e001acc1f
feat(healthcare): update the api https://github.com/googleapis/google-api-python-client/commit/421a937bd2ac9ebc3b916e9d46f50b1924ddc2e7
feat(integrations): update the api https://github.com/googleapis/google-api-python-client/commit/07c58f8ad6d69d2403b24d68d43c32eec1725631
feat(migrationcenter): update the api https://github.com/googleapis/google-api-python-client/commit/5d134758b02e03c11779bfb17fff3f9288f003dc
feat(netapp): update the api https://github.com/googleapis/google-api-python-client/commit/67550b115c3dad868176f571d33e209c4866d53b
feat(networkmanagement): update the api https://github.com/googleapis/google-api-python-client/commit/6f1d8051344ed79b92e6f79abff4f0ab19e53d6e
feat(notebooks): update the api https://github.com/googleapis/google-api-python-client/commit/d0837350711d47c8187e962a7149c7395f9c9354
feat(oracledatabase): update the api https://github.com/googleapis/google-api-python-client/commit/8fb19ea990b0b494fd778a7c42eb50df0096c843
feat(paymentsresellersubscription): update the api https://github.com/googleapis/google-api-python-client/commit/f891c7e82a3a9e74e0dca3ab654f56f7f23d7eb0
feat(privateca): update the api https://github.com/googleapis/google-api-python-client/commit/8f7e7cd55d04e260c6f665907e07979295a1e809
feat(run): update the api https://github.com/googleapis/google-api-python-client/commit/024a0ec595e1d1f0cff4d5095619f507c2de2e6a
feat(securitycenter): update the api https://github.com/googleapis/google-api-python-client/commit/0a137f331109f6ec34c3f52f9f305dd0d7ddd75a
feat(servicecontrol): update the api https://github.com/googleapis/google-api-python-client/commit/96572b5a4a1921342f3d48f5721cf37749787d2e
feat(sheets): update the api https://github.com/googleapis/google-api-python-client/commit/297f497837a6d40470b27b30da5f6d1d3be69fe7
feat(sqladmin): update the api https://github.com/googleapis/google-api-python-client/commit/5cf231be6e2dbbbe9046e9dfcd497cf68b6bd0df
feat(storage): update the api https://github.com/googleapis/google-api-python-client/commit/6cbba22a4066da5a48200d1bb4ce4f48521af86c
feat(workflows): update the api https://github.com/googleapis/google-api-python-client/commit/a2188e92aae520458a8dde5c46cff1f4ce3c71c6
feat(workloadmanager): update the api https://github.com/googleapis/google-api-python-client/commit/2b6e6ead6d60bcb05d251e3ecdfa5f949890c2bb

docs/dyn/adsense_v2.accounts.reports.html

@@ -131,6 +131,7 @@ <h3>Method Details</h3>
       AD_UNIT_SIZE_CODE - The size code of an ad unit (e.g. &quot;728x90&quot;, &quot;responsive&quot;).
       CUSTOM_CHANNEL_NAME - Custom channel name. The members of this dimension match the values from CustomChannel.display_name.
       CUSTOM_CHANNEL_ID - Unique ID of a custom channel. The members of this dimension match the values from CustomChannel.reporting_dimension_id.
+      HOSTED_CUSTOM_CHANNEL_ID - Unique ID of a hosted client&#x27;s custom channel.
       OWNED_SITE_DOMAIN_NAME - Domain name of a verified site (e.g. &quot;example.com&quot;). The members of this dimension match the values from Site.domain.
       OWNED_SITE_ID - Unique ID of a verified site. The members of this dimension match the values from Site.reporting_dimension_id.
       PAGE_URL - URL of the page upon which the ad was served. This is a complete URL including scheme and query parameters. Note that the URL that appears in this dimension may be a canonicalized version of the one that was used in the original request, and so may not exactly match the URL that a user might have seen. Note that there are also some caveats to be aware of when using this dimension. For more information, see [Page URL breakdown](https://support.google.com/adsense/answer/11988478).
@@ -308,6 +309,7 @@ <h3>Method Details</h3>
       AD_UNIT_SIZE_CODE - The size code of an ad unit (e.g. &quot;728x90&quot;, &quot;responsive&quot;).
       CUSTOM_CHANNEL_NAME - Custom channel name. The members of this dimension match the values from CustomChannel.display_name.
       CUSTOM_CHANNEL_ID - Unique ID of a custom channel. The members of this dimension match the values from CustomChannel.reporting_dimension_id.
+      HOSTED_CUSTOM_CHANNEL_ID - Unique ID of a hosted client&#x27;s custom channel.
       OWNED_SITE_DOMAIN_NAME - Domain name of a verified site (e.g. &quot;example.com&quot;). The members of this dimension match the values from Site.domain.
       OWNED_SITE_ID - Unique ID of a verified site. The members of this dimension match the values from Site.reporting_dimension_id.
       PAGE_URL - URL of the page upon which the ad was served. This is a complete URL including scheme and query parameters. Note that the URL that appears in this dimension may be a canonicalized version of the one that was used in the original request, and so may not exactly match the URL that a user might have seen. Note that there are also some caveats to be aware of when using this dimension. For more information, see [Page URL breakdown](https://support.google.com/adsense/answer/11988478).

docs/dyn/aiplatform_v1.datasets.html

@@ -130,7 +130,7 @@ <h3>Method Details</h3>
   &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+  &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
   &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -246,7 +246,7 @@ <h3>Method Details</h3>
   &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+  &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
   &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -304,7 +304,7 @@ <h3>Method Details</h3>
       &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
       &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
       &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-      &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+      &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
       &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
       &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
       &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -347,7 +347,7 @@ <h3>Method Details</h3>
   <pre>Updates a Dataset.
 
 Args:
-  name: string, Output only. Identifier. The resource name of the Dataset. (required)
+  name: string, Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}` (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -367,7 +367,7 @@ <h3>Method Details</h3>
   &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+  &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
   &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
@@ -412,7 +412,7 @@ <h3>Method Details</h3>
   &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
   &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
-  &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset.
+  &quot;name&quot;: &quot;A String&quot;, # Output only. Identifier. The resource name of the Dataset. Format: `projects/{project}/locations/{location}/datasets/{dataset}`
   &quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
   &quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.

docs/dyn/aiplatform_v1.endpoints.html

@@ -218,6 +218,7 @@ <h3>Method Details</h3>
     &quot;frequencyPenalty&quot;: 3.14, # Optional. Frequency penalties.
     &quot;logprobs&quot;: 42, # Optional. Logit probabilities.
     &quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.
+    &quot;mediaResolution&quot;: &quot;A String&quot;, # Optional. If specified, the media resolution specified will be used.
     &quot;presencePenalty&quot;: 3.14, # Optional. Positive penalties.
     &quot;responseLogprobs&quot;: True or False, # Optional. If true, export the logprobs results in response.
     &quot;responseMimeType&quot;: &quot;A String&quot;, # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -278,7 +279,6 @@ <h3>Method Details</h3>
       &quot;A String&quot;,
     ],
     &quot;temperature&quot;: 3.14, # Optional. Controls the randomness of predictions.
-    &quot;tokenResolution&quot;: &quot;A String&quot;, # Optional. If specified, the token resolution specified will be used.
     &quot;topK&quot;: 3.14, # Optional. If specified, top-k sampling will be used.
     &quot;topP&quot;: 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -497,6 +497,7 @@ <h3>Method Details</h3>
     &quot;frequencyPenalty&quot;: 3.14, # Optional. Frequency penalties.
     &quot;logprobs&quot;: 42, # Optional. Logit probabilities.
     &quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.
+    &quot;mediaResolution&quot;: &quot;A String&quot;, # Optional. If specified, the media resolution specified will be used.
     &quot;presencePenalty&quot;: 3.14, # Optional. Positive penalties.
     &quot;responseLogprobs&quot;: True or False, # Optional. If true, export the logprobs results in response.
     &quot;responseMimeType&quot;: &quot;A String&quot;, # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -557,7 +558,6 @@ <h3>Method Details</h3>
       &quot;A String&quot;,
     ],
     &quot;temperature&quot;: 3.14, # Optional. Controls the randomness of predictions.
-    &quot;tokenResolution&quot;: &quot;A String&quot;, # Optional. If specified, the token resolution specified will be used.
     &quot;topK&quot;: 3.14, # Optional. If specified, top-k sampling will be used.
     &quot;topP&quot;: 3.14, # Optional. If specified, nucleus sampling will be used.
   },
@@ -936,6 +936,7 @@ <h3>Method Details</h3>
     &quot;frequencyPenalty&quot;: 3.14, # Optional. Frequency penalties.
     &quot;logprobs&quot;: 42, # Optional. Logit probabilities.
     &quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.
+    &quot;mediaResolution&quot;: &quot;A String&quot;, # Optional. If specified, the media resolution specified will be used.
     &quot;presencePenalty&quot;: 3.14, # Optional. Positive penalties.
     &quot;responseLogprobs&quot;: True or False, # Optional. If true, export the logprobs results in response.
     &quot;responseMimeType&quot;: &quot;A String&quot;, # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
@@ -996,7 +997,6 @@ <h3>Method Details</h3>
       &quot;A String&quot;,
     ],
     &quot;temperature&quot;: 3.14, # Optional. Controls the randomness of predictions.
-    &quot;tokenResolution&quot;: &quot;A String&quot;, # Optional. If specified, the token resolution specified will be used.
     &quot;topK&quot;: 3.14, # Optional. If specified, top-k sampling will be used.
     &quot;topP&quot;: 3.14, # Optional. If specified, nucleus sampling will be used.
   },