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chore: Update discovery artifacts #2535

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Dec 17, 2024
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chore: Update discovery artifacts #2535

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db20d80
chore: update docs/dyn/index.md
yoshi-automation Dec 17, 2024
0fbab09
feat(aiplatform): update the api
yoshi-automation Dec 17, 2024
c964276
feat(alloydb): update the api
yoshi-automation Dec 17, 2024
8d0b829
feat(artifactregistry): update the api
yoshi-automation Dec 17, 2024
babb16c
feat(assuredworkloads): update the api
yoshi-automation Dec 17, 2024
4c3708d
feat(backupdr): update the api
yoshi-automation Dec 17, 2024
d044073
feat(bigqueryreservation): update the api
yoshi-automation Dec 17, 2024
d55bedd
feat(chat): update the api
yoshi-automation Dec 17, 2024
2c59d35
feat(cloudbuild): update the api
yoshi-automation Dec 17, 2024
8611287
feat(cloudidentity): update the api
yoshi-automation Dec 17, 2024
c245891
feat(config): update the api
yoshi-automation Dec 17, 2024
8d6384e
feat(contactcenterinsights): update the api
yoshi-automation Dec 17, 2024
cf47608
feat(container): update the api
yoshi-automation Dec 17, 2024
57b49f1
feat(css): update the api
yoshi-automation Dec 17, 2024
f064103
feat(dataflow): update the api
yoshi-automation Dec 17, 2024
283d79d
feat(datamigration): update the api
yoshi-automation Dec 17, 2024
deb509a
feat(dataplex): update the api
yoshi-automation Dec 17, 2024
d0e9430
feat(datastream): update the api
yoshi-automation Dec 17, 2024
939d196
feat(dialogflow): update the api
yoshi-automation Dec 17, 2024
7382301
feat(discoveryengine): update the api
yoshi-automation Dec 17, 2024
207265e
feat(file): update the api
yoshi-automation Dec 17, 2024
8d1e066
feat(gkehub): update the api
yoshi-automation Dec 17, 2024
421a937
feat(healthcare): update the api
yoshi-automation Dec 17, 2024
07c58f8
feat(integrations): update the api
yoshi-automation Dec 17, 2024
5d13475
feat(migrationcenter): update the api
yoshi-automation Dec 17, 2024
67550b1
feat(netapp): update the api
yoshi-automation Dec 17, 2024
6f1d805
feat(networkmanagement): update the api
yoshi-automation Dec 17, 2024
d083735
feat(notebooks): update the api
yoshi-automation Dec 17, 2024
8fb19ea
feat(oracledatabase): update the api
yoshi-automation Dec 17, 2024
f891c7e
feat(paymentsresellersubscription): update the api
yoshi-automation Dec 17, 2024
8f7e7cd
feat(privateca): update the api
yoshi-automation Dec 17, 2024
024a0ec
feat(run): update the api
yoshi-automation Dec 17, 2024
0a137f3
feat(securitycenter): update the api
yoshi-automation Dec 17, 2024
96572b5
feat(servicecontrol): update the api
yoshi-automation Dec 17, 2024
297f497
feat(sheets): update the api
yoshi-automation Dec 17, 2024
5cf231b
feat(sqladmin): update the api
yoshi-automation Dec 17, 2024
6cbba22
feat(storage): update the api
yoshi-automation Dec 17, 2024
a2188e9
feat(workflows): update the api
yoshi-automation Dec 17, 2024
2b6e6ea
feat(workloadmanager): update the api
yoshi-automation Dec 17, 2024
64d71f1
chore(docs): Add new discovery artifacts and artifacts with minor upd…
yoshi-automation Dec 17, 2024
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104 changes: 52 additions & 52 deletions docs/dyn/accesscontextmanager_v1.organizations.gcpUserAccessBindings.html
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8 changes: 4 additions & 4 deletions docs/dyn/admin_directory_v1.roleAssignments.html
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2 changes: 2 additions & 0 deletions docs/dyn/adsense_v2.accounts.reports.html
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Expand Up @@ -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).
Expand Down Expand Up @@ -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).
Expand Down
12 changes: 6 additions & 6 deletions docs/dyn/aiplatform_v1.datasets.html
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Expand Up @@ -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.
Expand Down Expand Up @@ -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.
Expand Down Expand Up @@ -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.
Expand Down Expand Up @@ -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:

Expand All @@ -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.
Expand Down Expand Up @@ -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.
Expand Down
6 changes: 3 additions & 3 deletions docs/dyn/aiplatform_v1.endpoints.html
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Expand Up @@ -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.
Expand Down Expand Up @@ -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.
},
Expand Down Expand Up @@ -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.
Expand Down Expand Up @@ -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.
},
Expand Down Expand Up @@ -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.
Expand Down Expand Up @@ -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.
},
Expand Down
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