feat(discoveryengine): update the api

#### discoveryengine:v1alpha

The following keys were deleted:
- schemas.GoogleCloudDiscoveryengineV1alphaSearchRequestContentSearchSpecExtractiveContentSpec.properties.returnExtractiveSegmentScore.type (Total Keys: 1)

#### discoveryengine:v1beta

The following keys were deleted:
- schemas.GoogleCloudDiscoveryengineV1betaSearchRequestContentSearchSpecExtractiveContentSpec.properties.returnExtractiveSegmentScore.type (Total Keys: 1)

Author: yoshi-automation

docs/dyn/discoveryengine_v1alpha.locations.html

@@ -129,7 +129,6 @@ <h3>Method Details</h3>
         &quot;maxExtractiveSegmentCount&quot;: 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         &quot;numNextSegments&quot;: 42, # Return at most `num_next_segments` segments after each selected segments.
         &quot;numPreviousSegments&quot;: 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
-        &quot;returnExtractiveSegmentScore&quot;: True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. The default value is `false`.
       },
       &quot;snippetSpec&quot;: { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         &quot;maxSnippetCount&quot;: 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count &gt; 0.
@@ -140,7 +139,7 @@ <h3>Method Details</h3>
         &quot;ignoreAdversarialQuery&quot;: True or False, # Specifies whether to filter out adversarial queries. The default value is `false`. Google employs search-query classification to detect adversarial queries. No summary is returned if the search query is classified as an adversarial query. For example, a user might ask a question regarding negative comments about the company or submit a query designed to generate unsafe, policy-violating output. If this field is set to `true`, we skip generating summaries for adversarial queries and return fallback messages instead.
         &quot;ignoreNonSummarySeekingQuery&quot;: True or False, # Specifies whether to filter out queries that are not summary-seeking. The default value is `false`. Google employs search-query classification to detect summary-seeking queries. No summary is returned if the search query is classified as a non-summary seeking query. For example, `why is the sky blue` and `Who is the best soccer player in the world?` are summary-seeking queries, but `SFO airport` and `world cup 2026` are not. They are most likely navigational queries. If this field is set to `true`, we skip generating summaries for non-summary seeking queries and return fallback messages instead.
         &quot;includeCitations&quot;: True or False, # Specifies whether to include citations in the summary. The default value is `false`. When this field is set to `true`, summaries include in-line citation numbers. Example summary including citations: BigQuery is Google Cloud&#x27;s fully managed and completely serverless enterprise data warehouse [1]. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform [2, 3]. The citation numbers refer to the returned search results and are 1-indexed. For example, [1] means that the sentence is attributed to the first search result. [2, 3] means that the sentence is attributed to both the second and third search results.
-        &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by BCP47.
+        &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). Note: This is an experimental feature.
         &quot;summaryResultCount&quot;: 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
       },
     },
@@ -296,7 +295,7 @@ <h3>Method Details</h3>
       &quot;ignoreAdversarialQuery&quot;: True or False, # Specifies whether to filter out adversarial queries. The default value is `false`. Google employs search-query classification to detect adversarial queries. No summary is returned if the search query is classified as an adversarial query. For example, a user might ask a question regarding negative comments about the company or submit a query designed to generate unsafe, policy-violating output. If this field is set to `true`, we skip generating summaries for adversarial queries and return fallback messages instead.
       &quot;ignoreNonSummarySeekingQuery&quot;: True or False, # Specifies whether to filter out queries that are not summary-seeking. The default value is `false`. Google employs search-query classification to detect summary-seeking queries. No summary is returned if the search query is classified as a non-summary seeking query. For example, `why is the sky blue` and `Who is the best soccer player in the world?` are summary-seeking queries, but `SFO airport` and `world cup 2026` are not. They are most likely navigational queries. If this field is set to `true`, we skip generating summaries for non-summary seeking queries and return fallback messages instead.
       &quot;includeCitations&quot;: True or False, # Specifies whether to include citations in the summary. The default value is `false`. When this field is set to `true`, summaries include in-line citation numbers. Example summary including citations: BigQuery is Google Cloud&#x27;s fully managed and completely serverless enterprise data warehouse [1]. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform [2, 3]. The citation numbers refer to the returned search results and are 1-indexed. For example, [1] means that the sentence is attributed to the first search result. [2, 3] means that the sentence is attributed to both the second and third search results.
-      &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by BCP47.
+      &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). Note: This is an experimental feature.
       &quot;summaryResultCount&quot;: 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
     },
     &quot;userLabels&quot;: { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.
@@ -455,7 +454,6 @@ <h3>Method Details</h3>
         &quot;maxExtractiveSegmentCount&quot;: 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
         &quot;numNextSegments&quot;: 42, # Return at most `num_next_segments` segments after each selected segments.
         &quot;numPreviousSegments&quot;: 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
-        &quot;returnExtractiveSegmentScore&quot;: True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. The default value is `false`.
       },
       &quot;snippetSpec&quot;: { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
         &quot;maxSnippetCount&quot;: 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count &gt; 0.
@@ -466,7 +464,7 @@ <h3>Method Details</h3>
         &quot;ignoreAdversarialQuery&quot;: True or False, # Specifies whether to filter out adversarial queries. The default value is `false`. Google employs search-query classification to detect adversarial queries. No summary is returned if the search query is classified as an adversarial query. For example, a user might ask a question regarding negative comments about the company or submit a query designed to generate unsafe, policy-violating output. If this field is set to `true`, we skip generating summaries for adversarial queries and return fallback messages instead.
         &quot;ignoreNonSummarySeekingQuery&quot;: True or False, # Specifies whether to filter out queries that are not summary-seeking. The default value is `false`. Google employs search-query classification to detect summary-seeking queries. No summary is returned if the search query is classified as a non-summary seeking query. For example, `why is the sky blue` and `Who is the best soccer player in the world?` are summary-seeking queries, but `SFO airport` and `world cup 2026` are not. They are most likely navigational queries. If this field is set to `true`, we skip generating summaries for non-summary seeking queries and return fallback messages instead.
         &quot;includeCitations&quot;: True or False, # Specifies whether to include citations in the summary. The default value is `false`. When this field is set to `true`, summaries include in-line citation numbers. Example summary including citations: BigQuery is Google Cloud&#x27;s fully managed and completely serverless enterprise data warehouse [1]. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform [2, 3]. The citation numbers refer to the returned search results and are 1-indexed. For example, [1] means that the sentence is attributed to the first search result. [2, 3] means that the sentence is attributed to both the second and third search results.
-        &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by BCP47.
+        &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). Note: This is an experimental feature.
         &quot;summaryResultCount&quot;: 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
       },
     },

docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.conversations.html

@@ -176,7 +176,7 @@ <h3>Method Details</h3>
     &quot;ignoreAdversarialQuery&quot;: True or False, # Specifies whether to filter out adversarial queries. The default value is `false`. Google employs search-query classification to detect adversarial queries. No summary is returned if the search query is classified as an adversarial query. For example, a user might ask a question regarding negative comments about the company or submit a query designed to generate unsafe, policy-violating output. If this field is set to `true`, we skip generating summaries for adversarial queries and return fallback messages instead.
     &quot;ignoreNonSummarySeekingQuery&quot;: True or False, # Specifies whether to filter out queries that are not summary-seeking. The default value is `false`. Google employs search-query classification to detect summary-seeking queries. No summary is returned if the search query is classified as a non-summary seeking query. For example, `why is the sky blue` and `Who is the best soccer player in the world?` are summary-seeking queries, but `SFO airport` and `world cup 2026` are not. They are most likely navigational queries. If this field is set to `true`, we skip generating summaries for non-summary seeking queries and return fallback messages instead.
     &quot;includeCitations&quot;: True or False, # Specifies whether to include citations in the summary. The default value is `false`. When this field is set to `true`, summaries include in-line citation numbers. Example summary including citations: BigQuery is Google Cloud&#x27;s fully managed and completely serverless enterprise data warehouse [1]. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform [2, 3]. The citation numbers refer to the returned search results and are 1-indexed. For example, [1] means that the sentence is attributed to the first search result. [2, 3] means that the sentence is attributed to both the second and third search results.
-    &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by BCP47.
+    &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). Note: This is an experimental feature.
     &quot;summaryResultCount&quot;: 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
   },
   &quot;userLabels&quot;: { # The user labels applied to a resource must meet the following requirements: * Each resource can have multiple labels, up to a maximum of 64. * Each label must be a key-value pair. * Keys have a minimum length of 1 character and a maximum length of 63 characters and cannot be empty. Values can be empty and have a maximum length of 63 characters. * Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed. * The key portion of a label must be unique. However, you can use the same key with multiple resources. * Keys must start with a lowercase letter or international character. See [Google Cloud Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) for more details.

docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html

@@ -254,7 +254,6 @@ <h3>Method Details</h3>
       &quot;maxExtractiveSegmentCount&quot;: 42, # The max number of extractive segments returned in each search result. Only applied if the DataStore is set to DataStore.ContentConfig.CONTENT_REQUIRED or DataStore.solution_types is SOLUTION_TYPE_CHAT. An extractive segment is a text segment extracted from the original document that is relevant to the search query, and, in general, more verbose than an extractive answer. The segment could then be used as input for LLMs to generate summaries and answers. If the number of matching segments is less than `max_extractive_segment_count`, return all of the segments. Otherwise, return the `max_extractive_segment_count`.
       &quot;numNextSegments&quot;: 42, # Return at most `num_next_segments` segments after each selected segments.
       &quot;numPreviousSegments&quot;: 42, # Specifies whether to also include the adjacent from each selected segments. Return at most `num_previous_segments` segments before each selected segments.
-      &quot;returnExtractiveSegmentScore&quot;: True or False, # Specifies whether to return the confidence score from the extractive segments in each search result. The default value is `false`.
     },
     &quot;snippetSpec&quot;: { # A specification for configuring snippets in a search response. # If `snippetSpec` is not specified, snippets are not included in the search response.
       &quot;maxSnippetCount&quot;: 42, # [DEPRECATED] This field is deprecated. To control snippet return, use `return_snippet` field. For backwards compatibility, we will return snippet if max_snippet_count &gt; 0.
@@ -265,7 +264,7 @@ <h3>Method Details</h3>
       &quot;ignoreAdversarialQuery&quot;: True or False, # Specifies whether to filter out adversarial queries. The default value is `false`. Google employs search-query classification to detect adversarial queries. No summary is returned if the search query is classified as an adversarial query. For example, a user might ask a question regarding negative comments about the company or submit a query designed to generate unsafe, policy-violating output. If this field is set to `true`, we skip generating summaries for adversarial queries and return fallback messages instead.
       &quot;ignoreNonSummarySeekingQuery&quot;: True or False, # Specifies whether to filter out queries that are not summary-seeking. The default value is `false`. Google employs search-query classification to detect summary-seeking queries. No summary is returned if the search query is classified as a non-summary seeking query. For example, `why is the sky blue` and `Who is the best soccer player in the world?` are summary-seeking queries, but `SFO airport` and `world cup 2026` are not. They are most likely navigational queries. If this field is set to `true`, we skip generating summaries for non-summary seeking queries and return fallback messages instead.
       &quot;includeCitations&quot;: True or False, # Specifies whether to include citations in the summary. The default value is `false`. When this field is set to `true`, summaries include in-line citation numbers. Example summary including citations: BigQuery is Google Cloud&#x27;s fully managed and completely serverless enterprise data warehouse [1]. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform [2, 3]. The citation numbers refer to the returned search results and are 1-indexed. For example, [1] means that the sentence is attributed to the first search result. [2, 3] means that the sentence is attributed to both the second and third search results.
-      &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by BCP47.
+      &quot;languageCode&quot;: &quot;A String&quot;, # Language code for Summary. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). Note: This is an experimental feature.
       &quot;summaryResultCount&quot;: 42, # The number of top results to generate the summary from. If the number of results returned is less than `summaryResultCount`, the summary is generated from all of the results. At most five results can be used to generate a summary.
     },
   },