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chore: Update discovery artifacts #2778

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454c5c9
chore: update docs/dyn/index.md
yoshi-automation Jul 21, 2026
bb0daf9
feat(aiplatform): update the api
yoshi-automation Jul 21, 2026
02227ca
feat(androidpublisher): update the api
yoshi-automation Jul 21, 2026
ba8c843
feat(appengine): update the api
yoshi-automation Jul 21, 2026
edf75f3
feat(artifactregistry): update the api
yoshi-automation Jul 21, 2026
45ce71f
feat(bigquery): update the api
yoshi-automation Jul 21, 2026
18f9738
feat(bigtableadmin): update the api
yoshi-automation Jul 21, 2026
b0db7d4
feat(compute): update the api
yoshi-automation Jul 21, 2026
c2bbbc4
feat(databasecenter): update the api
yoshi-automation Jul 21, 2026
34e3cef
feat(dataplex): update the api
yoshi-automation Jul 21, 2026
8c40546
fix(dataportability): update the api
yoshi-automation Jul 21, 2026
884485a
fix(datastream): update the api
yoshi-automation Jul 21, 2026
d62fd9a
feat(developerknowledge): update the api
yoshi-automation Jul 21, 2026
7ccee05
feat(dfareporting): update the api
yoshi-automation Jul 21, 2026
4826d30
feat(dialogflow): update the api
yoshi-automation Jul 21, 2026
5cc29d3
feat(discoveryengine): update the api
yoshi-automation Jul 21, 2026
3de1c45
feat(displayvideo): update the api
yoshi-automation Jul 21, 2026
5ec4595
feat(dlp): update the api
yoshi-automation Jul 21, 2026
fb40423
feat(drive): update the api
yoshi-automation Jul 21, 2026
e71009f
feat(file): update the api
yoshi-automation Jul 21, 2026
2f26bcb
feat(firebaseappcheck): update the api
yoshi-automation Jul 21, 2026
1de3584
feat(firebaseappdistribution): update the api
yoshi-automation Jul 21, 2026
be32bfb
feat(firestore): update the api
yoshi-automation Jul 21, 2026
705a8f3
feat(homegraph): update the api
yoshi-automation Jul 21, 2026
0ecd6cf
feat(merchantapi): update the api
yoshi-automation Jul 21, 2026
f40b381
feat(networkconnectivity): update the api
yoshi-automation Jul 21, 2026
03ad455
feat(networkservices): update the api
yoshi-automation Jul 21, 2026
62687c9
feat(realtimebidding): update the api
yoshi-automation Jul 21, 2026
2b778a6
feat(recaptchaenterprise): update the api
yoshi-automation Jul 21, 2026
4982e75
feat(run): update the api
yoshi-automation Jul 21, 2026
1b9f2e9
fix(saasservicemgmt): update the api
yoshi-automation Jul 21, 2026
ea62809
feat(securitycenter): update the api
yoshi-automation Jul 21, 2026
cd640a6
feat(serviceconsumermanagement): update the api
yoshi-automation Jul 21, 2026
735f817
feat(serviceusage): update the api
yoshi-automation Jul 21, 2026
a4c0a92
feat(sqladmin): update the api
yoshi-automation Jul 21, 2026
00da47d
feat(sts): update the api
yoshi-automation Jul 21, 2026
3e0fe45
feat(threatintelligence): update the api
yoshi-automation Jul 21, 2026
b853164
chore(docs): Add new discovery artifacts and artifacts with minor upd…
yoshi-automation Jul 21, 2026
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6 changes: 6 additions & 0 deletions docs/dyn/aiplatform_v1.endpoints.html
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Expand Up @@ -1559,6 +1559,9 @@ <h3>Method Details</h3>
&quot;retrievalMetadata&quot;: { # Metadata related to the retrieval grounding source. This is part of the `GroundingMetadata` returned when grounding is enabled. # Optional. Output only. Metadata related to the retrieval grounding source.
&quot;googleSearchDynamicRetrievalScore&quot;: 3.14, # Optional. A score indicating how likely it is that a Google Search query could help answer the prompt. The score is in the range of `[0, 1]`. A score of 1 means the model is confident that a search will be helpful, and 0 means it is not. This score is populated only when Google Search grounding and dynamic retrieval are enabled. The score is used to determine whether to trigger a search.
},
&quot;retrievalQueries&quot;: [ # Optional. The queries that were executed by the retrieval tools. This field is populated only when the grounding source is a retrieval tool, such as Vertex AI Search.
&quot;A String&quot;,
],
&quot;searchEntryPoint&quot;: { # An entry point for displaying Google Search results. A `SearchEntryPoint` is populated when the grounding source for a model&#x27;s response is Google Search. It provides information that you can use to display the search results in your application. # Optional. A web search entry point that can be used to display search results. This field is populated only when the grounding source is Google Search.
&quot;renderedContent&quot;: &quot;A String&quot;, # Optional. An HTML snippet that can be embedded in a web page or an application&#x27;s webview. This snippet displays a search result, including the title, URL, and a brief description of the search result.
&quot;sdkBlob&quot;: &quot;A String&quot;, # Optional. A base64-encoded JSON object that contains a list of search queries and their corresponding search URLs. This information can be used to build a custom search UI.
Expand Down Expand Up @@ -2493,6 +2496,9 @@ <h3>Method Details</h3>
&quot;retrievalMetadata&quot;: { # Metadata related to the retrieval grounding source. This is part of the `GroundingMetadata` returned when grounding is enabled. # Optional. Output only. Metadata related to the retrieval grounding source.
&quot;googleSearchDynamicRetrievalScore&quot;: 3.14, # Optional. A score indicating how likely it is that a Google Search query could help answer the prompt. The score is in the range of `[0, 1]`. A score of 1 means the model is confident that a search will be helpful, and 0 means it is not. This score is populated only when Google Search grounding and dynamic retrieval are enabled. The score is used to determine whether to trigger a search.
},
&quot;retrievalQueries&quot;: [ # Optional. The queries that were executed by the retrieval tools. This field is populated only when the grounding source is a retrieval tool, such as Vertex AI Search.
&quot;A String&quot;,
],
&quot;searchEntryPoint&quot;: { # An entry point for displaying Google Search results. A `SearchEntryPoint` is populated when the grounding source for a model&#x27;s response is Google Search. It provides information that you can use to display the search results in your application. # Optional. A web search entry point that can be used to display search results. This field is populated only when the grounding source is Google Search.
&quot;renderedContent&quot;: &quot;A String&quot;, # Optional. An HTML snippet that can be embedded in a web page or an application&#x27;s webview. This snippet displays a search result, including the title, URL, and a brief description of the search result.
&quot;sdkBlob&quot;: &quot;A String&quot;, # Optional. A base64-encoded JSON object that contains a list of search queries and their corresponding search URLs. This information can be used to build a custom search UI.
Expand Down
6 changes: 6 additions & 0 deletions docs/dyn/aiplatform_v1.projects.locations.endpoints.html
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Expand Up @@ -2523,6 +2523,9 @@ <h3>Method Details</h3>
&quot;retrievalMetadata&quot;: { # Metadata related to the retrieval grounding source. This is part of the `GroundingMetadata` returned when grounding is enabled. # Optional. Output only. Metadata related to the retrieval grounding source.
&quot;googleSearchDynamicRetrievalScore&quot;: 3.14, # Optional. A score indicating how likely it is that a Google Search query could help answer the prompt. The score is in the range of `[0, 1]`. A score of 1 means the model is confident that a search will be helpful, and 0 means it is not. This score is populated only when Google Search grounding and dynamic retrieval are enabled. The score is used to determine whether to trigger a search.
},
&quot;retrievalQueries&quot;: [ # Optional. The queries that were executed by the retrieval tools. This field is populated only when the grounding source is a retrieval tool, such as Vertex AI Search.
&quot;A String&quot;,
],
&quot;searchEntryPoint&quot;: { # An entry point for displaying Google Search results. A `SearchEntryPoint` is populated when the grounding source for a model&#x27;s response is Google Search. It provides information that you can use to display the search results in your application. # Optional. A web search entry point that can be used to display search results. This field is populated only when the grounding source is Google Search.
&quot;renderedContent&quot;: &quot;A String&quot;, # Optional. An HTML snippet that can be embedded in a web page or an application&#x27;s webview. This snippet displays a search result, including the title, URL, and a brief description of the search result.
&quot;sdkBlob&quot;: &quot;A String&quot;, # Optional. A base64-encoded JSON object that contains a list of search queries and their corresponding search URLs. This information can be used to build a custom search UI.
Expand Down Expand Up @@ -4939,6 +4942,9 @@ <h3>Method Details</h3>
&quot;retrievalMetadata&quot;: { # Metadata related to the retrieval grounding source. This is part of the `GroundingMetadata` returned when grounding is enabled. # Optional. Output only. Metadata related to the retrieval grounding source.
&quot;googleSearchDynamicRetrievalScore&quot;: 3.14, # Optional. A score indicating how likely it is that a Google Search query could help answer the prompt. The score is in the range of `[0, 1]`. A score of 1 means the model is confident that a search will be helpful, and 0 means it is not. This score is populated only when Google Search grounding and dynamic retrieval are enabled. The score is used to determine whether to trigger a search.
},
&quot;retrievalQueries&quot;: [ # Optional. The queries that were executed by the retrieval tools. This field is populated only when the grounding source is a retrieval tool, such as Vertex AI Search.
&quot;A String&quot;,
],
&quot;searchEntryPoint&quot;: { # An entry point for displaying Google Search results. A `SearchEntryPoint` is populated when the grounding source for a model&#x27;s response is Google Search. It provides information that you can use to display the search results in your application. # Optional. A web search entry point that can be used to display search results. This field is populated only when the grounding source is Google Search.
&quot;renderedContent&quot;: &quot;A String&quot;, # Optional. An HTML snippet that can be embedded in a web page or an application&#x27;s webview. This snippet displays a search result, including the title, URL, and a brief description of the search result.
&quot;sdkBlob&quot;: &quot;A String&quot;, # Optional. A base64-encoded JSON object that contains a list of search queries and their corresponding search URLs. This information can be used to build a custom search UI.
Expand Down
12 changes: 12 additions & 0 deletions docs/dyn/aiplatform_v1.projects.locations.evaluationMetrics.html
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Expand Up @@ -111,6 +111,9 @@ <h3>Method Details</h3>
&quot;createTime&quot;: &quot;A String&quot;, # Output only. The time when the EvaluationMetric was created.
&quot;description&quot;: &quot;A String&quot;, # Optional. A description of the EvaluationMetric.
&quot;displayName&quot;: &quot;A String&quot;, # Required. The user-friendly display name for the EvaluationMetric.
&quot;encryptionSpec&quot;: { # Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. # Optional. Customer-managed encryption key spec for this EvaluationMetric. If set, this EvaluationMetric will be secured by this key.
&quot;kmsKeyName&quot;: &quot;A String&quot;, # Required. Resource name of the Cloud KMS key used to protect the resource. The Cloud KMS key must be in the same region as the resource. It must have the format `projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}`.
},
&quot;gcsUri&quot;: &quot;A String&quot;, # Optional. The Google Cloud Storage URI that stores the metric specification..
&quot;labels&quot;: { # Optional. Labels for the evaluation metric.
&quot;a_key&quot;: &quot;A String&quot;,
Expand Down Expand Up @@ -504,6 +507,9 @@ <h3>Method Details</h3>
&quot;createTime&quot;: &quot;A String&quot;, # Output only. The time when the EvaluationMetric was created.
&quot;description&quot;: &quot;A String&quot;, # Optional. A description of the EvaluationMetric.
&quot;displayName&quot;: &quot;A String&quot;, # Required. The user-friendly display name for the EvaluationMetric.
&quot;encryptionSpec&quot;: { # Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. # Optional. Customer-managed encryption key spec for this EvaluationMetric. If set, this EvaluationMetric will be secured by this key.
&quot;kmsKeyName&quot;: &quot;A String&quot;, # Required. Resource name of the Cloud KMS key used to protect the resource. The Cloud KMS key must be in the same region as the resource. It must have the format `projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}`.
},
&quot;gcsUri&quot;: &quot;A String&quot;, # Optional. The Google Cloud Storage URI that stores the metric specification..
&quot;labels&quot;: { # Optional. Labels for the evaluation metric.
&quot;a_key&quot;: &quot;A String&quot;,
Expand Down Expand Up @@ -938,6 +944,9 @@ <h3>Method Details</h3>
&quot;createTime&quot;: &quot;A String&quot;, # Output only. The time when the EvaluationMetric was created.
&quot;description&quot;: &quot;A String&quot;, # Optional. A description of the EvaluationMetric.
&quot;displayName&quot;: &quot;A String&quot;, # Required. The user-friendly display name for the EvaluationMetric.
&quot;encryptionSpec&quot;: { # Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. # Optional. Customer-managed encryption key spec for this EvaluationMetric. If set, this EvaluationMetric will be secured by this key.
&quot;kmsKeyName&quot;: &quot;A String&quot;, # Required. Resource name of the Cloud KMS key used to protect the resource. The Cloud KMS key must be in the same region as the resource. It must have the format `projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}`.
},
&quot;gcsUri&quot;: &quot;A String&quot;, # Optional. The Google Cloud Storage URI that stores the metric specification..
&quot;labels&quot;: { # Optional. Labels for the evaluation metric.
&quot;a_key&quot;: &quot;A String&quot;,
Expand Down Expand Up @@ -1343,6 +1352,9 @@ <h3>Method Details</h3>
&quot;createTime&quot;: &quot;A String&quot;, # Output only. The time when the EvaluationMetric was created.
&quot;description&quot;: &quot;A String&quot;, # Optional. A description of the EvaluationMetric.
&quot;displayName&quot;: &quot;A String&quot;, # Required. The user-friendly display name for the EvaluationMetric.
&quot;encryptionSpec&quot;: { # Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. # Optional. Customer-managed encryption key spec for this EvaluationMetric. If set, this EvaluationMetric will be secured by this key.
&quot;kmsKeyName&quot;: &quot;A String&quot;, # Required. Resource name of the Cloud KMS key used to protect the resource. The Cloud KMS key must be in the same region as the resource. It must have the format `projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}`.
},
&quot;gcsUri&quot;: &quot;A String&quot;, # Optional. The Google Cloud Storage URI that stores the metric specification..
&quot;labels&quot;: { # Optional. Labels for the evaluation metric.
&quot;a_key&quot;: &quot;A String&quot;,
Expand Down
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