googleapis
diff --git a/‎docs/dyn/accesscontextmanager_v1.organizations.gcpUserAccessBindings.html‎
Lines changed: 52 additions & 52 deletions b/‎docs/dyn/accesscontextmanager_v1.organizations.gcpUserAccessBindings.html‎
Lines changed: 52 additions & 52 deletions
diff --git a/‎docs/dyn/admin_directory_v1.roleAssignments.html‎
Lines changed: 4 additions & 4 deletions b/‎docs/dyn/admin_directory_v1.roleAssignments.html‎
Lines changed: 4 additions & 4 deletions
diff --git a/‎docs/dyn/adsense_v2.accounts.reports.html‎
Lines changed: 2 additions & 0 deletions b/‎docs/dyn/adsense_v2.accounts.reports.html‎
Lines changed: 2 additions & 0 deletions
diff --git a/‎docs/dyn/aiplatform_v1.datasets.html‎
Lines changed: 6 additions & 6 deletions b/‎docs/dyn/aiplatform_v1.datasets.html‎
Lines changed: 6 additions & 6 deletions
diff --git a/‎docs/dyn/aiplatform_v1.endpoints.html‎
Lines changed: 3 additions & 3 deletions b/‎docs/dyn/aiplatform_v1.endpoints.html‎
Lines changed: 3 additions & 3 deletions
@@ -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).
 
@@ -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.
 
@@ -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.
   },