feat(discoveryengine): update the api

#### discoveryengine:v1

The following keys were deleted:
- resources.projects.resources.locations.methods.generateGroundedContent (Total Keys: 12)
- schemas.GoogleCloudDiscoveryengineV1GenerateGroundedContentRequest (Total Keys: 60)
- schemas.GoogleCloudDiscoveryengineV1GenerateGroundedContentResponse (Total Keys: 48)
- schemas.GoogleCloudDiscoveryengineV1GroundedGenerationContent (Total Keys: 8)

The following keys were added:
- schemas.GoogleCloudDiscoveryengineV1alphaConnectorRunEntityRun.properties.progress.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaConnectorRunEntityRunProgress (Total Keys: 8)
- schemas.GoogleCloudDiscoveryengineV1alphaDataConnector.properties.connectorType (Total Keys: 2)
- schemas.GoogleCloudDiscoveryengineV1alphaDataConnector.properties.realtimeState (Total Keys: 2)
- schemas.GoogleCloudDiscoveryengineV1alphaDedicatedCrawlRateTimeSeries.properties.autoRefreshCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaDedicatedCrawlRateTimeSeries.properties.userTriggeredCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1betaDedicatedCrawlRateTimeSeries.properties.autoRefreshCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1betaDedicatedCrawlRateTimeSeries.properties.userTriggeredCrawlErrorRate.$ref (Total Keys: 1)

#### discoveryengine:v1alpha

The following keys were deleted:
- resources.projects.resources.locations.methods.generateGroundedContent (Total Keys: 12)
- schemas.GoogleCloudDiscoveryengineV1alphaGenerateGroundedContentRequest (Total Keys: 60)
- schemas.GoogleCloudDiscoveryengineV1alphaGenerateGroundedContentResponse (Total Keys: 48)
- schemas.GoogleCloudDiscoveryengineV1alphaGroundedGenerationContent (Total Keys: 8)

The following keys were added:
- schemas.GoogleCloudDiscoveryengineV1alphaConnectorRunEntityRun.properties.progress.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaConnectorRunEntityRunProgress (Total Keys: 8)
- schemas.GoogleCloudDiscoveryengineV1alphaDataConnector.properties.connectorType (Total Keys: 2)
- schemas.GoogleCloudDiscoveryengineV1alphaDataConnector.properties.realtimeState (Total Keys: 2)
- schemas.GoogleCloudDiscoveryengineV1alphaDedicatedCrawlRateTimeSeries.properties.autoRefreshCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaDedicatedCrawlRateTimeSeries.properties.userTriggeredCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaSearchResponseNaturalLanguageQueryUnderstandingInfo.properties.classifiedIntents (Total Keys: 2)
- schemas.GoogleCloudDiscoveryengineV1alphaWidgetConfigAccessSettings.properties.workforceIdentityPoolProvider.type (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaWidgetConfigUiSettingsGenerativeAnswerConfig.properties.imageSource.type (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1betaDedicatedCrawlRateTimeSeries.properties.autoRefreshCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1betaDedicatedCrawlRateTimeSeries.properties.userTriggeredCrawlErrorRate.$ref (Total Keys: 1)

#### discoveryengine:v1beta

The following keys were deleted:
- resources.projects.resources.locations.methods.generateGroundedContent (Total Keys: 12)

The following keys were added:
- schemas.GoogleCloudDiscoveryengineV1alphaConnectorRunEntityRun.properties.progress.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaConnectorRunEntityRunProgress (Total Keys: 8)
- schemas.GoogleCloudDiscoveryengineV1alphaDataConnector.properties.connectorType (Total Keys: 2)
- schemas.GoogleCloudDiscoveryengineV1alphaDataConnector.properties.realtimeState (Total Keys: 2)
- schemas.GoogleCloudDiscoveryengineV1alphaDedicatedCrawlRateTimeSeries.properties.autoRefreshCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaDedicatedCrawlRateTimeSeries.properties.userTriggeredCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1betaDedicatedCrawlRateTimeSeries.properties.autoRefreshCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1betaDedicatedCrawlRateTimeSeries.properties.userTriggeredCrawlErrorRate.$ref (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1betaSearchResponseNaturalLanguageQueryUnderstandingInfo.properties.classifiedIntents (Total Keys: 2)

Author: yoshi-automation

docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.servingConfigs.html

@@ -1018,7 +1018,7 @@ <h3>Method Details</h3>
       &quot;useSemanticChunks&quot;: True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
-  &quot;dataStoreSpecs&quot;: [ # Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
+  &quot;dataStoreSpecs&quot;: [ # Specifications that define the specific [DataStore]s to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
     { # A struct to define data stores to filter on in a search call and configurations for those data stores. Otherwise, an `INVALID_ARGUMENT` error is returned.
       &quot;boostSpec&quot;: { # Boost specification to boost certain documents. # Optional. Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
         &quot;conditionBoostSpecs&quot;: [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
@@ -1353,7 +1353,7 @@ <h3>Method Details</h3>
       &quot;useSemanticChunks&quot;: True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
-  &quot;dataStoreSpecs&quot;: [ # Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
+  &quot;dataStoreSpecs&quot;: [ # Specifications that define the specific [DataStore]s to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
     { # A struct to define data stores to filter on in a search call and configurations for those data stores. Otherwise, an `INVALID_ARGUMENT` error is returned.
       &quot;boostSpec&quot;: { # Boost specification to boost certain documents. # Optional. Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
         &quot;conditionBoostSpecs&quot;: [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.

docs/dyn/discoveryengine_v1.projects.locations.collections.engines.servingConfigs.html

@@ -1018,7 +1018,7 @@ <h3>Method Details</h3>
       &quot;useSemanticChunks&quot;: True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
-  &quot;dataStoreSpecs&quot;: [ # Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
+  &quot;dataStoreSpecs&quot;: [ # Specifications that define the specific [DataStore]s to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
     { # A struct to define data stores to filter on in a search call and configurations for those data stores. Otherwise, an `INVALID_ARGUMENT` error is returned.
       &quot;boostSpec&quot;: { # Boost specification to boost certain documents. # Optional. Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
         &quot;conditionBoostSpecs&quot;: [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
@@ -1353,7 +1353,7 @@ <h3>Method Details</h3>
       &quot;useSemanticChunks&quot;: True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
-  &quot;dataStoreSpecs&quot;: [ # Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
+  &quot;dataStoreSpecs&quot;: [ # Specifications that define the specific [DataStore]s to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
     { # A struct to define data stores to filter on in a search call and configurations for those data stores. Otherwise, an `INVALID_ARGUMENT` error is returned.
       &quot;boostSpec&quot;: { # Boost specification to boost certain documents. # Optional. Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
         &quot;conditionBoostSpecs&quot;: [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.

docs/dyn/discoveryengine_v1.projects.locations.dataStores.servingConfigs.html

@@ -1018,7 +1018,7 @@ <h3>Method Details</h3>
       &quot;useSemanticChunks&quot;: True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
-  &quot;dataStoreSpecs&quot;: [ # Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
+  &quot;dataStoreSpecs&quot;: [ # Specifications that define the specific [DataStore]s to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
     { # A struct to define data stores to filter on in a search call and configurations for those data stores. Otherwise, an `INVALID_ARGUMENT` error is returned.
       &quot;boostSpec&quot;: { # Boost specification to boost certain documents. # Optional. Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
         &quot;conditionBoostSpecs&quot;: [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
@@ -1353,7 +1353,7 @@ <h3>Method Details</h3>
       &quot;useSemanticChunks&quot;: True or False, # If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.
     },
   },
-  &quot;dataStoreSpecs&quot;: [ # Specs defining DataStores to filter on in a search call and configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
+  &quot;dataStoreSpecs&quot;: [ # Specifications that define the specific [DataStore]s to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
     { # A struct to define data stores to filter on in a search call and configurations for those data stores. Otherwise, an `INVALID_ARGUMENT` error is returned.
       &quot;boostSpec&quot;: { # Boost specification to boost certain documents. # Optional. Boost specification to boost certain documents. For more information on boosting, see [Boosting](https://cloud.google.com/generative-ai-app-builder/docs/boost-search-results)
         &quot;conditionBoostSpecs&quot;: [ # Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.