Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
32 commits
Select commit Hold shift + click to select a range
5bffc9d
fix(admin): update the api
yoshi-automation Feb 4, 2025
921442b
feat(aiplatform): update the api
yoshi-automation Feb 4, 2025
dfdf089
feat(apigee): update the api
yoshi-automation Feb 4, 2025
74499b4
feat(appengine): update the api
yoshi-automation Feb 4, 2025
9d02ab8
feat(backupdr): update the api
yoshi-automation Feb 4, 2025
4cc15d6
feat(batch): update the api
yoshi-automation Feb 4, 2025
86f7ace
feat(chat): update the api
yoshi-automation Feb 4, 2025
63d4596
feat(chromemanagement): update the api
yoshi-automation Feb 4, 2025
123c1d2
feat(clouddeploy): update the api
yoshi-automation Feb 4, 2025
98d175e
feat(cloudfunctions): update the api
yoshi-automation Feb 4, 2025
c6e13af
feat(compute): update the api
yoshi-automation Feb 4, 2025
77e1edb
feat(connectors): update the api
yoshi-automation Feb 4, 2025
0634811
feat(container): update the api
yoshi-automation Feb 4, 2025
5bd1bcc
feat(containeranalysis): update the api
yoshi-automation Feb 4, 2025
1e06b80
feat(developerconnect): update the api
yoshi-automation Feb 4, 2025
4107034
feat(discoveryengine): update the api
yoshi-automation Feb 4, 2025
2e27397
feat(displayvideo): update the api
yoshi-automation Feb 4, 2025
dc32f61
fix(dlp): update the api
yoshi-automation Feb 4, 2025
28f38e7
feat(forms): update the api
yoshi-automation Feb 4, 2025
5ba41c7
feat(integrations): update the api
yoshi-automation Feb 4, 2025
e314193
feat(logging): update the api
yoshi-automation Feb 4, 2025
54da032
fix(meet): update the api
yoshi-automation Feb 4, 2025
0a9b3f6
feat(merchantapi): update the api
yoshi-automation Feb 4, 2025
f8b95c0
feat(monitoring): update the api
yoshi-automation Feb 4, 2025
b8d003b
feat(networksecurity): update the api
yoshi-automation Feb 4, 2025
4341a03
feat(servicecontrol): update the api
yoshi-automation Feb 4, 2025
fdd2ba7
fix(sts): update the api
yoshi-automation Feb 4, 2025
c31d604
feat(tagmanager): update the api
yoshi-automation Feb 4, 2025
25f671b
feat(vault): update the api
yoshi-automation Feb 4, 2025
1df617d
feat(workstations): update the api
yoshi-automation Feb 4, 2025
723c5db
feat(youtube): update the api
yoshi-automation Feb 4, 2025
d59f0fb
chore(docs): Add new discovery artifacts and artifacts with minor upd…
yoshi-automation Feb 4, 2025
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
181 changes: 181 additions & 0 deletions docs/dyn/aiplatform_v1.endpoints.html

Large diffs are not rendered by default.

144 changes: 138 additions & 6 deletions docs/dyn/aiplatform_v1.projects.locations.cachedContents.html

Large diffs are not rendered by default.

Original file line number Diff line number Diff line change
Expand Up @@ -607,6 +607,15 @@ <h3>Method Details</h3>
},
&quot;serviceAccount&quot;: &quot;A String&quot;, # The service account that the DeployedModel&#x27;s container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn&#x27;t have access to the resource project. Users deploying the Model must have the `iam.serviceAccounts.actAs` permission on this service account.
&quot;sharedResources&quot;: &quot;A String&quot;, # The resource name of the shared DeploymentResourcePool to deploy on. Format: `projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}`
&quot;speculativeDecodingSpec&quot;: { # Configuration for Speculative Decoding. # Optional. Spec for configuring speculative decoding.
&quot;draftModelSpeculation&quot;: { # Draft model speculation works by using the smaller model to generate candidate tokens for speculative decoding. # draft model speculation.
&quot;draftModel&quot;: &quot;A String&quot;, # Required. The resource name of the draft model.
},
&quot;ngramSpeculation&quot;: { # N-Gram speculation works by trying to find matching tokens in the previous prompt sequence and use those as speculation for generating new tokens. # N-Gram speculation.
&quot;ngramSize&quot;: 42, # The number of last N input tokens used as ngram to search/match against the previous prompt sequence. This is equal to the N in N-Gram. The default value is 3 if not specified.
},
&quot;speculativeTokenCount&quot;: 42, # The number of speculative tokens to generate at each step.
},
&quot;status&quot;: { # Runtime status of the deployed model. # Output only. Runtime status of the deployed model.
&quot;availableReplicaCount&quot;: 42, # Output only. The number of available replicas of the deployed model.
&quot;lastUpdateTime&quot;: &quot;A String&quot;, # Output only. The time at which the status was last updated.
Expand Down
244 changes: 244 additions & 0 deletions docs/dyn/aiplatform_v1.projects.locations.endpoints.html

Large diffs are not rendered by default.

Original file line number Diff line number Diff line change
Expand Up @@ -184,6 +184,8 @@ <h3>Method Details</h3>
},
&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;serviceAccountEmail&quot;: &quot;A String&quot;, # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
&quot;serviceAgentType&quot;: &quot;A String&quot;, # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
&quot;syncConfig&quot;: { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
&quot;continuous&quot;: True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store.
&quot;cron&quot;: &quot;A String&quot;, # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: &quot;CRON_TZ=${IANA_TIME_ZONE}&quot; or &quot;TZ=${IANA_TIME_ZONE}&quot;. The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, &quot;CRON_TZ=America/New_York 1 * * * *&quot;, or &quot;TZ=America/New_York 1 * * * *&quot;.
Expand Down Expand Up @@ -410,6 +412,8 @@ <h3>Method Details</h3>
},
&quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
&quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
&quot;serviceAccountEmail&quot;: &quot;A String&quot;, # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
&quot;serviceAgentType&quot;: &quot;A String&quot;, # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
&quot;syncConfig&quot;: { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
&quot;continuous&quot;: True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store.
&quot;cron&quot;: &quot;A String&quot;, # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: &quot;CRON_TZ=${IANA_TIME_ZONE}&quot; or &quot;TZ=${IANA_TIME_ZONE}&quot;. The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, &quot;CRON_TZ=America/New_York 1 * * * *&quot;, or &quot;TZ=America/New_York 1 * * * *&quot;.
Expand Down Expand Up @@ -523,6 +527,8 @@ <h3>Method Details</h3>
},
&quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
&quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
&quot;serviceAccountEmail&quot;: &quot;A String&quot;, # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
&quot;serviceAgentType&quot;: &quot;A String&quot;, # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
&quot;syncConfig&quot;: { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
&quot;continuous&quot;: True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store.
&quot;cron&quot;: &quot;A String&quot;, # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: &quot;CRON_TZ=${IANA_TIME_ZONE}&quot; or &quot;TZ=${IANA_TIME_ZONE}&quot;. The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, &quot;CRON_TZ=America/New_York 1 * * * *&quot;, or &quot;TZ=America/New_York 1 * * * *&quot;.
Expand Down Expand Up @@ -607,6 +613,8 @@ <h3>Method Details</h3>
},
&quot;satisfiesPzi&quot;: True or False, # Output only. Reserved for future use.
&quot;satisfiesPzs&quot;: True or False, # Output only. Reserved for future use.
&quot;serviceAccountEmail&quot;: &quot;A String&quot;, # Output only. A Service Account unique to this FeatureView. The role bigquery.dataViewer should be granted to this service account to allow Vertex AI Feature Store to sync data to the online store.
&quot;serviceAgentType&quot;: &quot;A String&quot;, # Optional. Service agent type used during data sync. By default, the Vertex AI Service Agent is used. When using an IAM Policy to isolate this FeatureView within a project, a separate service account should be provisioned by setting this field to `SERVICE_AGENT_TYPE_FEATURE_VIEW`. This will generate a separate service account to access the BigQuery source table.
&quot;syncConfig&quot;: { # Configuration for Sync. Only one option is set. # Configures when data is to be synced/updated for this FeatureView. At the end of the sync the latest featureValues for each entityId of this FeatureView are made ready for online serving.
&quot;continuous&quot;: True or False, # Optional. If true, syncs the FeatureView in a continuous manner to Online Store.
&quot;cron&quot;: &quot;A String&quot;, # Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: &quot;CRON_TZ=${IANA_TIME_ZONE}&quot; or &quot;TZ=${IANA_TIME_ZONE}&quot;. The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, &quot;CRON_TZ=America/New_York 1 * * * *&quot;, or &quot;TZ=America/New_York 1 * * * *&quot;.
Expand Down
30 changes: 30 additions & 0 deletions docs/dyn/aiplatform_v1.projects.locations.html
Original file line number Diff line number Diff line change
Expand Up @@ -278,7 +278,16 @@ <h3>Method Details</h3>
{ # The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.
&quot;parts&quot;: [ # Required. Ordered `Parts` that constitute a single message. Parts may have different IANA MIME types.
{ # A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
&quot;codeExecutionResult&quot;: { # Result of executing the [ExecutableCode]. Always follows a `part` containing the [ExecutableCode]. # Optional. Result of executing the [ExecutableCode].
&quot;outcome&quot;: &quot;A String&quot;, # Required. Outcome of the code execution.
&quot;output&quot;: &quot;A String&quot;, # Optional. Contains stdout when code execution is successful, stderr or other description otherwise.
},
&quot;executableCode&quot;: { # Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [FunctionDeclaration] tool and [FunctionCallingConfig] mode is set to [Mode.CODE]. # Optional. Code generated by the model that is meant to be executed.
&quot;code&quot;: &quot;A String&quot;, # Required. The code to be executed.
&quot;language&quot;: &quot;A String&quot;, # Required. Programming language of the `code`.
},
&quot;fileData&quot;: { # URI based data. # Optional. URI based data.
&quot;displayName&quot;: &quot;A String&quot;, # Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
&quot;fileUri&quot;: &quot;A String&quot;, # Required. URI.
&quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
},
Expand All @@ -296,6 +305,7 @@ <h3>Method Details</h3>
},
&quot;inlineData&quot;: { # Content blob. # Optional. Inlined bytes data.
&quot;data&quot;: &quot;A String&quot;, # Required. Raw bytes.
&quot;displayName&quot;: &quot;A String&quot;, # Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
&quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
},
&quot;text&quot;: &quot;A String&quot;, # Optional. Text part (can be code).
Expand Down Expand Up @@ -347,7 +357,16 @@ <h3>Method Details</h3>
{ # The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.
&quot;parts&quot;: [ # Required. Ordered `Parts` that constitute a single message. Parts may have different IANA MIME types.
{ # A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
&quot;codeExecutionResult&quot;: { # Result of executing the [ExecutableCode]. Always follows a `part` containing the [ExecutableCode]. # Optional. Result of executing the [ExecutableCode].
&quot;outcome&quot;: &quot;A String&quot;, # Required. Outcome of the code execution.
&quot;output&quot;: &quot;A String&quot;, # Optional. Contains stdout when code execution is successful, stderr or other description otherwise.
},
&quot;executableCode&quot;: { # Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [FunctionDeclaration] tool and [FunctionCallingConfig] mode is set to [Mode.CODE]. # Optional. Code generated by the model that is meant to be executed.
&quot;code&quot;: &quot;A String&quot;, # Required. The code to be executed.
&quot;language&quot;: &quot;A String&quot;, # Required. Programming language of the `code`.
},
&quot;fileData&quot;: { # URI based data. # Optional. URI based data.
&quot;displayName&quot;: &quot;A String&quot;, # Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
&quot;fileUri&quot;: &quot;A String&quot;, # Required. URI.
&quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
},
Expand All @@ -365,6 +384,7 @@ <h3>Method Details</h3>
},
&quot;inlineData&quot;: { # Content blob. # Optional. Inlined bytes data.
&quot;data&quot;: &quot;A String&quot;, # Required. Raw bytes.
&quot;displayName&quot;: &quot;A String&quot;, # Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
&quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
},
&quot;text&quot;: &quot;A String&quot;, # Optional. Text part (can be code).
Expand Down Expand Up @@ -408,7 +428,16 @@ <h3>Method Details</h3>
&quot;content&quot;: { # The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. # Optional. Input content to corroborate, only text format is supported for now.
&quot;parts&quot;: [ # Required. Ordered `Parts` that constitute a single message. Parts may have different IANA MIME types.
{ # A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
&quot;codeExecutionResult&quot;: { # Result of executing the [ExecutableCode]. Always follows a `part` containing the [ExecutableCode]. # Optional. Result of executing the [ExecutableCode].
&quot;outcome&quot;: &quot;A String&quot;, # Required. Outcome of the code execution.
&quot;output&quot;: &quot;A String&quot;, # Optional. Contains stdout when code execution is successful, stderr or other description otherwise.
},
&quot;executableCode&quot;: { # Code generated by the model that is meant to be executed, and the result returned to the model. Generated when using the [FunctionDeclaration] tool and [FunctionCallingConfig] mode is set to [Mode.CODE]. # Optional. Code generated by the model that is meant to be executed.
&quot;code&quot;: &quot;A String&quot;, # Required. The code to be executed.
&quot;language&quot;: &quot;A String&quot;, # Required. Programming language of the `code`.
},
&quot;fileData&quot;: { # URI based data. # Optional. URI based data.
&quot;displayName&quot;: &quot;A String&quot;, # Optional. Display name of the file data. Used to provide a label or filename to distinguish file datas. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
&quot;fileUri&quot;: &quot;A String&quot;, # Required. URI.
&quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
},
Expand All @@ -426,6 +455,7 @@ <h3>Method Details</h3>
},
&quot;inlineData&quot;: { # Content blob. # Optional. Inlined bytes data.
&quot;data&quot;: &quot;A String&quot;, # Required. Raw bytes.
&quot;displayName&quot;: &quot;A String&quot;, # Optional. Display name of the blob. Used to provide a label or filename to distinguish blobs. This field is only returned in PromptMessage for prompt management. It is not currently used in the Gemini GenerateContent calls.
&quot;mimeType&quot;: &quot;A String&quot;, # Required. The IANA standard MIME type of the source data.
},
&quot;text&quot;: &quot;A String&quot;, # Optional. Text part (can be code).
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -90,7 +90,7 @@ <h2>Instance Methods</h2>
<p class="firstline">Deletes an IndexEndpoint.</p>
<p class="toc_element">
<code><a href="#deployIndex">deployIndex(indexEndpoint, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it. Only non-empty Indexes can be deployed.</p>
<p class="firstline">Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.</p>
<p class="toc_element">
<code><a href="#findNeighbors">findNeighbors(indexEndpoint, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Finds the nearest neighbors of each vector within the request.</p>
Expand Down Expand Up @@ -294,7 +294,7 @@ <h3>Method Details</h3>

<div class="method">
<code class="details" id="deployIndex">deployIndex(indexEndpoint, body=None, x__xgafv=None)</code>
<pre>Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it. Only non-empty Indexes can be deployed.
<pre>Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.

Args:
indexEndpoint: string, Required. The name of the IndexEndpoint resource into which to deploy an Index. Format: `projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}` (required)
Expand Down
Loading