Close httplib2 connections.
create(parent, body=None, x__xgafv=None)
Creates an ad unit. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product. Note that ad units can only be created for ad clients with an "AFC" product code. For more info see the [AdClient resource](/adsense/management/reference/rest/v2/accounts.adclients). For now, this method can only be used to create `DISPLAY` ad units. See: https://support.google.com/adsense/answer/9183566
+Creates an ad unit. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method. Note that ad units can only be created for ad clients with an "AFC" product code. For more info see the [AdClient resource](/adsense/management/reference/rest/v2/accounts.adclients). For now, this method can only be used to create `DISPLAY` ad units. See: https://support.google.com/adsense/answer/9183566
Gets an ad unit from a specified account and ad client.
@@ -100,7 +100,7 @@Retrieves the next page of results.
patch(name, body=None, updateMask=None, x__xgafv=None)
Updates an ad unit. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product. For now, this method can only be used to update `DISPLAY` ad units. See: https://support.google.com/adsense/answer/9183566
+Updates an ad unit. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method. For now, this method can only be used to update `DISPLAY` ad units. See: https://support.google.com/adsense/answer/9183566
close()
@@ -109,7 +109,7 @@ create(parent, body=None, x__xgafv=None)
- Creates an ad unit. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product. Note that ad units can only be created for ad clients with an "AFC" product code. For more info see the [AdClient resource](/adsense/management/reference/rest/v2/accounts.adclients). For now, this method can only be used to create `DISPLAY` ad units. See: https://support.google.com/adsense/answer/9183566
+ Creates an ad unit. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method. Note that ad units can only be created for ad clients with an "AFC" product code. For more info see the [AdClient resource](/adsense/management/reference/rest/v2/accounts.adclients). For now, this method can only be used to create `DISPLAY` ad units. See: https://support.google.com/adsense/answer/9183566
Args:
parent: string, Required. Ad client to create an ad unit under. Format: accounts/{account}/adclients/{adclient} (required)
@@ -284,7 +284,7 @@ Method Details
patch(name, body=None, updateMask=None, x__xgafv=None)
- Updates an ad unit. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product. For now, this method can only be used to update `DISPLAY` ad units. See: https://support.google.com/adsense/answer/9183566
+ Updates an ad unit. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method. For now, this method can only be used to update `DISPLAY` ad units. See: https://support.google.com/adsense/answer/9183566
Args:
name: string, Output only. Resource name of the ad unit. Format: accounts/{account}/adclients/{adclient}/adunits/{adunit} (required)
diff --git a/docs/dyn/adsense_v2.accounts.adclients.customchannels.html b/docs/dyn/adsense_v2.accounts.adclients.customchannels.html
index 2413a2091cd..36fa2919404 100644
--- a/docs/dyn/adsense_v2.accounts.adclients.customchannels.html
+++ b/docs/dyn/adsense_v2.accounts.adclients.customchannels.html
@@ -79,10 +79,10 @@ Instance Methods
Close httplib2 connections.
create(parent, body=None, x__xgafv=None)
-Creates a custom channel. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product.
+Creates a custom channel. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method.
-Deletes a custom channel. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product.
+Deletes a custom channel. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method.
Gets information about the selected custom channel.
@@ -100,7 +100,7 @@ Instance Methods
Retrieves the next page of results.
patch(name, body=None, updateMask=None, x__xgafv=None)
-Updates a custom channel. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product.
+Updates a custom channel. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method.
Method Details
close()
@@ -109,7 +109,7 @@ Method Details
create(parent, body=None, x__xgafv=None)
- Creates a custom channel. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product.
+ Creates a custom channel. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method.
Args:
parent: string, Required. The ad client to create a custom channel under. Format: accounts/{account}/adclients/{adclient} (required)
@@ -141,7 +141,7 @@ Method Details
delete(name, x__xgafv=None)
- Deletes a custom channel. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product.
+ Deletes a custom channel. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method.
Args:
name: string, Required. Name of the custom channel to delete. Format: accounts/{account}/adclients/{adclient}/customchannels/{customchannel} (required)
@@ -271,7 +271,7 @@ Method Details
patch(name, body=None, updateMask=None, x__xgafv=None)
- Updates a custom channel. This method can only be used by projects enabled for the [AdSense for Platforms](https://developers.google.com/adsense/platforms/) product.
+ Updates a custom channel. This method can be called only by a restricted set of projects, which are usually owned by [AdSense for Platforms](https://developers.google.com/adsense/platforms/) publishers. Contact your account manager if you need to use this method.
Args:
name: string, Output only. Resource name of the custom channel. Format: accounts/{account}/adclients/{adclient}/customchannels/{customchannel} (required)
diff --git a/docs/dyn/adsense_v2.accounts.html b/docs/dyn/adsense_v2.accounts.html
index f851b5bb7d7..0c8108b350d 100644
--- a/docs/dyn/adsense_v2.accounts.html
+++ b/docs/dyn/adsense_v2.accounts.html
@@ -89,6 +89,11 @@ Instance Methods
Returns the payments Resource.
+
+ policyIssues()
+
+Returns the policyIssues Resource.
+
diff --git a/docs/dyn/adsense_v2.accounts.policyIssues.html b/docs/dyn/adsense_v2.accounts.policyIssues.html
new file mode 100644
index 00000000000..b9b8efd68bf
--- /dev/null
+++ b/docs/dyn/adsense_v2.accounts.policyIssues.html
@@ -0,0 +1,214 @@
+
+
+
+AdSense Management API . accounts . policyIssues
+Instance Methods
+
+ close()
+Close httplib2 connections.
+
+Gets information about the selected policy issue.
+
+ list(parent, pageSize=None, pageToken=None, x__xgafv=None)
+Lists all the policy issues for the specified account.
+
+Retrieves the next page of results.
+Method Details
+
+ close()
+ Close httplib2 connections.
+
+
+
+ get(name, x__xgafv=None)
+ Gets information about the selected policy issue.
+
+Args:
+ name: string, Required. Name of the policy issue. Format: accounts/{account}/policyIssues/{policy_issue} (required)
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # Representation of a policy issue for a single entity (site, site-section, or page). All issues for a single entity are represented by a single PolicyIssue resource, though that PolicyIssue can have multiple causes (or "topics") that can change over time. Policy issues are removed if there are no issues detected recently or if there's a recent successful appeal for the entity.
+ "action": "A String", # Required. The most severe action taken on the entity over the past seven days.
+ "adClients": [ # Optional. List of ad clients associated with the policy issue (either as the primary ad client or an associated host/secondary ad client). In the latter case, this will be an ad client that is not owned by the current account.
+ "A String",
+ ],
+ "adRequestCount": "A String", # Required. Total number of ad requests affected by the policy violations over the past seven days.
+ "entityType": "A String", # Required. Type of the entity indicating if the entity is a site, site-section, or page.
+ "firstDetectedDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # Required. The date (in the America/Los_Angeles timezone) when policy violations were first detected on the entity.
+ "day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
+ "month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
+ "year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
+ },
+ "lastDetectedDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # Required. The date (in the America/Los_Angeles timezone) when policy violations were last detected on the entity.
+ "day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
+ "month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
+ "year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
+ },
+ "name": "A String", # Required. Resource name of the entity with policy issues. Format: accounts/{account}/policyIssues/{policy_issue}
+ "policyTopics": [ # Required. Unordered list. The policy topics that this entity was found to violate over the past seven days.
+ { # Information about a particular policy topic. A policy topic represents a single class of policy issue that can impact ad serving for your site. For example, sexual content or having ads that obscure your content. A single policy issue can have multiple policy topics for a single entity.
+ "mustFix": True or False, # Required. Indicates if this is a policy violation or not. When the value is true, issues that are instances of this topic must be addressed to remain in compliance with the partner's agreements with Google. A false value indicates that it's not mandatory to fix the issues but advertising demand might be restricted.
+ "topic": "A String", # Required. The policy topic. For example, "sexual-content" or "ads-obscuring-content"."
+ },
+ ],
+ "site": "A String", # Required. Hostname/domain of the entity (for example "foo.com" or "www.foo.com"). This _should_ be a bare domain/host name without any protocol. This will be present for all policy issues.
+ "siteSection": "A String", # Optional. Prefix of the site-section having policy issues (For example "foo.com/bar-section"). This will be present if the `entity_type` is `SITE_SECTION` and will be absent for other entity types.
+ "uri": "A String", # Optional. URI of the page having policy violations (for example "foo.com/bar" or "www.foo.com/bar"). This will be present if the `entity_type` is `PAGE` and will be absent for other entity types.
+ "warningEscalationDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # Optional. The date (in the America/Los_Angeles timezone) when the entity will have ad serving demand restricted or ad serving disabled. This is present only for issues with a `WARNED` enforcement action. See https://support.google.com/adsense/answer/11066888.
+ "day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
+ "month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
+ "year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
+ },
+}
+
+
+
+ list(parent, pageSize=None, pageToken=None, x__xgafv=None)
+ Lists all the policy issues for the specified account.
+
+Args:
+ parent: string, Required. The account for which policy issues are being retrieved. Format: accounts/{account} (required)
+ pageSize: integer, The maximum number of policy issues to include in the response, used for paging. If unspecified, at most 10000 policy issues will be returned. The maximum value is 10000; values above 10000 will be coerced to 10000.
+ pageToken: string, A page token, received from a previous `ListPolicyIssues` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListPolicyIssues` must match the call that provided the page token.
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # Response definition for the policy issues list rpc. Policy issues are reported only if the publisher has at least one AFC ad client in READY or GETTING_READY state. If the publisher has no such AFC ad client, the response will be an empty list.
+ "nextPageToken": "A String", # Continuation token used to page through policy issues. To retrieve the next page of the results, set the next request's "page_token" value to this.
+ "policyIssues": [ # The policy issues returned in the list response.
+ { # Representation of a policy issue for a single entity (site, site-section, or page). All issues for a single entity are represented by a single PolicyIssue resource, though that PolicyIssue can have multiple causes (or "topics") that can change over time. Policy issues are removed if there are no issues detected recently or if there's a recent successful appeal for the entity.
+ "action": "A String", # Required. The most severe action taken on the entity over the past seven days.
+ "adClients": [ # Optional. List of ad clients associated with the policy issue (either as the primary ad client or an associated host/secondary ad client). In the latter case, this will be an ad client that is not owned by the current account.
+ "A String",
+ ],
+ "adRequestCount": "A String", # Required. Total number of ad requests affected by the policy violations over the past seven days.
+ "entityType": "A String", # Required. Type of the entity indicating if the entity is a site, site-section, or page.
+ "firstDetectedDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # Required. The date (in the America/Los_Angeles timezone) when policy violations were first detected on the entity.
+ "day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
+ "month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
+ "year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
+ },
+ "lastDetectedDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # Required. The date (in the America/Los_Angeles timezone) when policy violations were last detected on the entity.
+ "day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
+ "month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
+ "year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
+ },
+ "name": "A String", # Required. Resource name of the entity with policy issues. Format: accounts/{account}/policyIssues/{policy_issue}
+ "policyTopics": [ # Required. Unordered list. The policy topics that this entity was found to violate over the past seven days.
+ { # Information about a particular policy topic. A policy topic represents a single class of policy issue that can impact ad serving for your site. For example, sexual content or having ads that obscure your content. A single policy issue can have multiple policy topics for a single entity.
+ "mustFix": True or False, # Required. Indicates if this is a policy violation or not. When the value is true, issues that are instances of this topic must be addressed to remain in compliance with the partner's agreements with Google. A false value indicates that it's not mandatory to fix the issues but advertising demand might be restricted.
+ "topic": "A String", # Required. The policy topic. For example, "sexual-content" or "ads-obscuring-content"."
+ },
+ ],
+ "site": "A String", # Required. Hostname/domain of the entity (for example "foo.com" or "www.foo.com"). This _should_ be a bare domain/host name without any protocol. This will be present for all policy issues.
+ "siteSection": "A String", # Optional. Prefix of the site-section having policy issues (For example "foo.com/bar-section"). This will be present if the `entity_type` is `SITE_SECTION` and will be absent for other entity types.
+ "uri": "A String", # Optional. URI of the page having policy violations (for example "foo.com/bar" or "www.foo.com/bar"). This will be present if the `entity_type` is `PAGE` and will be absent for other entity types.
+ "warningEscalationDate": { # Represents a whole or partial calendar date, such as a birthday. The time of day and time zone are either specified elsewhere or are insignificant. The date is relative to the Gregorian Calendar. This can represent one of the following: * A full date, with non-zero year, month, and day values. * A month and day, with a zero year (for example, an anniversary). * A year on its own, with a zero month and a zero day. * A year and month, with a zero day (for example, a credit card expiration date). Related types: * google.type.TimeOfDay * google.type.DateTime * google.protobuf.Timestamp # Optional. The date (in the America/Los_Angeles timezone) when the entity will have ad serving demand restricted or ad serving disabled. This is present only for issues with a `WARNED` enforcement action. See https://support.google.com/adsense/answer/11066888.
+ "day": 42, # Day of a month. Must be from 1 to 31 and valid for the year and month, or 0 to specify a year by itself or a year and month where the day isn't significant.
+ "month": 42, # Month of a year. Must be from 1 to 12, or 0 to specify a year without a month and day.
+ "year": 42, # Year of the date. Must be from 1 to 9999, or 0 to specify a date without a year.
+ },
+ },
+ ],
+}
+
+
+
+ list_next()
+ Retrieves the next page of results.
+
+ Args:
+ previous_request: The request for the previous page. (required)
+ previous_response: The response from the request for the previous page. (required)
+
+ Returns:
+ A request object that you can call 'execute()' on to request the next
+ page. Returns None if there are no more items in the collection.
+
+
+
+
\ No newline at end of file
diff --git a/docs/dyn/aiplatform_v1.projects.locations.customJobs.html b/docs/dyn/aiplatform_v1.projects.locations.customJobs.html
index 4024e0394e4..6144b94f678 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.customJobs.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.customJobs.html
@@ -167,6 +167,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -280,6 +281,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -435,6 +437,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -561,6 +564,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
diff --git a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
index a35e488eed8..c13c5a5bb3b 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
@@ -1108,40 +1108,6 @@ Method Details
"threshold": "A String", # Required. The harm block threshold.
},
],
- "systemInstructions": [ # Optional. The user provided system instructions for the model.
- { # 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.
- "parts": [ # 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.
- "fileData": { # URI based data. # Optional. URI based data.
- "fileUri": "A String", # Required. URI.
- "mimeType": "A String", # Required. The IANA standard MIME type of the source data.
- },
- "functionCall": { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
- "args": { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
- "a_key": "", # Properties of the object.
- },
- "name": "A String", # Required. The name of the function to call. Matches [FunctionDeclaration.name].
- },
- "functionResponse": { # The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a [FunctionCall] made based on model prediction. # Optional. The result output of a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function call. It is used as context to the model.
- "name": "A String", # Required. The name of the function to call. Matches [FunctionDeclaration.name] and [FunctionCall.name].
- "response": { # Required. The function response in JSON object format.
- "a_key": "", # Properties of the object.
- },
- },
- "inlineData": { # Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. # Optional. Inlined bytes data.
- "data": "A String", # Required. Raw bytes for media formats.
- "mimeType": "A String", # Required. The IANA standard MIME type of the source data.
- },
- "text": "A String", # Optional. Text part (can be code).
- "videoMetadata": { # Metadata describes the input video content. # Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.
- "endOffset": "A String", # Optional. The end offset of the video.
- "startOffset": "A String", # Optional. The start offset of the video.
- },
- },
- ],
- "role": "A String", # Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.
- },
- ],
"tools": [ # Optional. A list of `Tools` the model may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.
{ # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
"functionDeclarations": [ # Optional. Function tool type. One or more function declarations to be passed to the model along with the current user query. Model may decide to call a subset of these functions by populating FunctionCall in the response. User should provide a FunctionResponse for each function call in the next turn. Based on the function responses, Model will generate the final response back to the user. Maximum 64 function declarations can be provided.
@@ -1149,20 +1115,31 @@ Method Details
"description": "A String", # Optional. Description and purpose of the function. Model uses it to decide how and whether to call the function.
"name": "A String", # Required. The name of the function to call. Must start with a letter or an underscore. Must be a-z, A-Z, 0-9, or contain underscores, dots and dashes, with a maximum length of 64.
"parameters": { # Schema is used to define the format of input/output data. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). More fields may be added in the future as needed. # Optional. Describes the parameters to this function in JSON Schema Object format. Reflects the Open API 3.03 Parameter Object. string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter. For function with no parameters, this can be left unset. Parameter names must start with a letter or an underscore and must only contain chars a-z, A-Z, 0-9, or underscores with a maximum length of 64. Example with 1 required and 1 optional parameter: type: OBJECT properties: param1: type: STRING param2: type: INTEGER required: - param1
+ "default": "", # Optional. Default value of the data.
"description": "A String", # Optional. The description of the data.
"enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]}
"A String",
],
"example": "", # Optional. Example of the object. Will only populated when the object is the root.
- "format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: float, double for INTEGER type: int32, int64
- "items": # Object with schema name: GoogleCloudAiplatformV1Schema # Optional. Schema of the elements of Type.ARRAY.
+ "format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc
+ "items": # Object with schema name: GoogleCloudAiplatformV1Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
+ "maxItems": "A String", # Optional. Maximum number of the elements for Type.ARRAY.
+ "maxLength": "A String", # Optional. Maximum length of the Type.STRING
+ "maxProperties": "A String", # Optional. Maximum number of the properties for Type.OBJECT.
+ "maximum": 3.14, # Optional. Maximum value of the Type.INTEGER and Type.NUMBER
+ "minItems": "A String", # Optional. Minimum number of the elements for Type.ARRAY.
+ "minLength": "A String", # Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING
+ "minProperties": "A String", # Optional. Minimum number of the properties for Type.OBJECT.
+ "minimum": 3.14, # Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER
"nullable": True or False, # Optional. Indicates if the value may be null.
- "properties": { # Optional. Properties of Type.OBJECT.
+ "pattern": "A String", # Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
+ "properties": { # Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of Type.OBJECT.
"a_key": # Object with schema name: GoogleCloudAiplatformV1Schema
},
"required": [ # Optional. Required properties of Type.OBJECT.
"A String",
],
+ "title": "A String", # Optional. The title of the Schema.
"type": "A String", # Optional. The type of the data.
},
},
@@ -1173,7 +1150,7 @@ Method Details
"retrieval": { # Defines a retrieval tool that model can call to access external knowledge. # Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.
"disableAttribution": True or False, # Optional. Disable using the result from this tool in detecting grounding attribution. This does not affect how the result is given to the model for generation.
"vertexAiSearch": { # Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/vertex-ai-search-and-conversation # Set to use data source powered by Vertex AI Search.
- "datastore": "A String", # Required. Fully-qualified Vertex AI Search's datastore resource ID. projects/<>/locations/<>/collections/<>/dataStores/<>
+ "datastore": "A String", # Required. Fully-qualified Vertex AI Search's datastore resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}
},
},
},
@@ -1491,7 +1468,7 @@ Method Details
Args:
parent: string, Required. The resource name of the Location from which to list the Endpoints. Format: `projects/{project}/locations/{location}` (required)
- filter: string, Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `endpoint` supports = and !=. `endpoint` represents the Endpoint ID, i.e. the last segment of the Endpoint's resource name. * `display_name` supports = and, != * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:* or labels:key - key existence * A key including a space must be quoted. `labels."a key"`. * `base_model_name` only supports = Some examples: * `endpoint=1` * `displayName="myDisplayName"` * `labels.myKey="myValue"` * `baseModelName="text-bison"`
+ filter: string, Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported. * `endpoint` supports `=` and `!=`. `endpoint` represents the Endpoint ID, i.e. the last segment of the Endpoint's resource name. * `display_name` supports `=` and `!=`. * `labels` supports general map functions that is: * `labels.key=value` - key:value equality * `labels.key:*` or `labels:key` - key existence * A key including a space must be quoted. `labels."a key"`. * `base_model_name` only supports `=`. Some examples: * `endpoint=1` * `displayName="myDisplayName"` * `labels.myKey="myValue"` * `baseModelName="text-bison"`
orderBy: string, A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields: * `display_name` * `create_time` * `update_time` Example: `display_name, create_time desc`.
pageSize: integer, Optional. The standard list page size.
pageToken: string, Optional. The standard list page token. Typically obtained via ListEndpointsResponse.next_page_token of the previous EndpointService.ListEndpoints call.
@@ -2580,40 +2557,6 @@ Method Details
"threshold": "A String", # Required. The harm block threshold.
},
],
- "systemInstructions": [ # Optional. The user provided system instructions for the model.
- { # 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.
- "parts": [ # 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.
- "fileData": { # URI based data. # Optional. URI based data.
- "fileUri": "A String", # Required. URI.
- "mimeType": "A String", # Required. The IANA standard MIME type of the source data.
- },
- "functionCall": { # A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values. # Optional. A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] with the parameters and their values.
- "args": { # Optional. Required. The function parameters and values in JSON object format. See [FunctionDeclaration.parameters] for parameter details.
- "a_key": "", # Properties of the object.
- },
- "name": "A String", # Required. The name of the function to call. Matches [FunctionDeclaration.name].
- },
- "functionResponse": { # The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a [FunctionCall] made based on model prediction. # Optional. The result output of a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function call. It is used as context to the model.
- "name": "A String", # Required. The name of the function to call. Matches [FunctionDeclaration.name] and [FunctionCall.name].
- "response": { # Required. The function response in JSON object format.
- "a_key": "", # Properties of the object.
- },
- },
- "inlineData": { # Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. # Optional. Inlined bytes data.
- "data": "A String", # Required. Raw bytes for media formats.
- "mimeType": "A String", # Required. The IANA standard MIME type of the source data.
- },
- "text": "A String", # Optional. Text part (can be code).
- "videoMetadata": { # Metadata describes the input video content. # Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.
- "endOffset": "A String", # Optional. The end offset of the video.
- "startOffset": "A String", # Optional. The start offset of the video.
- },
- },
- ],
- "role": "A String", # Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.
- },
- ],
"tools": [ # Optional. A list of `Tools` the model may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.
{ # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
"functionDeclarations": [ # Optional. Function tool type. One or more function declarations to be passed to the model along with the current user query. Model may decide to call a subset of these functions by populating FunctionCall in the response. User should provide a FunctionResponse for each function call in the next turn. Based on the function responses, Model will generate the final response back to the user. Maximum 64 function declarations can be provided.
@@ -2621,20 +2564,31 @@ Method Details
"description": "A String", # Optional. Description and purpose of the function. Model uses it to decide how and whether to call the function.
"name": "A String", # Required. The name of the function to call. Must start with a letter or an underscore. Must be a-z, A-Z, 0-9, or contain underscores, dots and dashes, with a maximum length of 64.
"parameters": { # Schema is used to define the format of input/output data. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). More fields may be added in the future as needed. # Optional. Describes the parameters to this function in JSON Schema Object format. Reflects the Open API 3.03 Parameter Object. string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter. For function with no parameters, this can be left unset. Parameter names must start with a letter or an underscore and must only contain chars a-z, A-Z, 0-9, or underscores with a maximum length of 64. Example with 1 required and 1 optional parameter: type: OBJECT properties: param1: type: STRING param2: type: INTEGER required: - param1
+ "default": "", # Optional. Default value of the data.
"description": "A String", # Optional. The description of the data.
"enum": [ # Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]}
"A String",
],
"example": "", # Optional. Example of the object. Will only populated when the object is the root.
- "format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: float, double for INTEGER type: int32, int64
- "items": # Object with schema name: GoogleCloudAiplatformV1Schema # Optional. Schema of the elements of Type.ARRAY.
+ "format": "A String", # Optional. The format of the data. Supported formats: for NUMBER type: "float", "double" for INTEGER type: "int32", "int64" for STRING type: "email", "byte", etc
+ "items": # Object with schema name: GoogleCloudAiplatformV1Schema # Optional. SCHEMA FIELDS FOR TYPE ARRAY Schema of the elements of Type.ARRAY.
+ "maxItems": "A String", # Optional. Maximum number of the elements for Type.ARRAY.
+ "maxLength": "A String", # Optional. Maximum length of the Type.STRING
+ "maxProperties": "A String", # Optional. Maximum number of the properties for Type.OBJECT.
+ "maximum": 3.14, # Optional. Maximum value of the Type.INTEGER and Type.NUMBER
+ "minItems": "A String", # Optional. Minimum number of the elements for Type.ARRAY.
+ "minLength": "A String", # Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING
+ "minProperties": "A String", # Optional. Minimum number of the properties for Type.OBJECT.
+ "minimum": 3.14, # Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER
"nullable": True or False, # Optional. Indicates if the value may be null.
- "properties": { # Optional. Properties of Type.OBJECT.
+ "pattern": "A String", # Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
+ "properties": { # Optional. SCHEMA FIELDS FOR TYPE OBJECT Properties of Type.OBJECT.
"a_key": # Object with schema name: GoogleCloudAiplatformV1Schema
},
"required": [ # Optional. Required properties of Type.OBJECT.
"A String",
],
+ "title": "A String", # Optional. The title of the Schema.
"type": "A String", # Optional. The type of the data.
},
},
@@ -2645,7 +2599,7 @@ Method Details
"retrieval": { # Defines a retrieval tool that model can call to access external knowledge. # Optional. Retrieval tool type. System will always execute the provided retrieval tool(s) to get external knowledge to answer the prompt. Retrieval results are presented to the model for generation.
"disableAttribution": True or False, # Optional. Disable using the result from this tool in detecting grounding attribution. This does not affect how the result is given to the model for generation.
"vertexAiSearch": { # Retrieve from Vertex AI Search datastore for grounding. See https://cloud.google.com/vertex-ai-search-and-conversation # Set to use data source powered by Vertex AI Search.
- "datastore": "A String", # Required. Fully-qualified Vertex AI Search's datastore resource ID. projects/<>/locations/<>/collections/<>/dataStores/<>
+ "datastore": "A String", # Required. Fully-qualified Vertex AI Search's datastore resource ID. Format: projects/{project}/locations/{location}/collections/{collection}/dataStores/{dataStore}
},
},
},
diff --git a/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html b/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html
index 0b1ff1ec3e5..d0d692055e8 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.featureOnlineStores.featureViews.html
@@ -255,6 +255,14 @@ Method Details
An object of the form:
{ # Response message for FeatureOnlineStoreService.FetchFeatureValues
+ "dataKey": { # Lookup key for a feature view. # The data key associated with this response. Will only be populated for FeatureOnlineStoreService.StreamingFetchFeatureValues RPCs.
+ "compositeKey": { # ID that is comprised from several parts (columns). # The actual Entity ID will be composed from this struct. This should match with the way ID is defined in the FeatureView spec.
+ "parts": [ # Parts to construct Entity ID. Should match with the same ID columns as defined in FeatureView in the same order.
+ "A String",
+ ],
+ },
+ "key": "A String", # String key to use for lookup.
+ },
"keyValues": { # Response structure in the format of key (feature name) and (feature) value pair. # Feature values in KeyValue format.
"features": [ # List of feature names and values.
{ # Feature name & value pair.
@@ -533,6 +541,14 @@ Method Details
"distance": 3.14, # The distance between the neighbor and the query vector.
"entityId": "A String", # The id of the similar entity.
"entityKeyValues": { # Response message for FeatureOnlineStoreService.FetchFeatureValues # The attributes of the neighbor, e.g. filters, crowding and metadata Note that full entities are returned only when "return_full_entity" is set to true. Otherwise, only the "entity_id" and "distance" fields are populated.
+ "dataKey": { # Lookup key for a feature view. # The data key associated with this response. Will only be populated for FeatureOnlineStoreService.StreamingFetchFeatureValues RPCs.
+ "compositeKey": { # ID that is comprised from several parts (columns). # The actual Entity ID will be composed from this struct. This should match with the way ID is defined in the FeatureView spec.
+ "parts": [ # Parts to construct Entity ID. Should match with the same ID columns as defined in FeatureView in the same order.
+ "A String",
+ ],
+ },
+ "key": "A String", # String key to use for lookup.
+ },
"keyValues": { # Response structure in the format of key (feature name) and (feature) value pair. # Feature values in KeyValue format.
"features": [ # List of feature names and values.
{ # Feature name & value pair.
diff --git a/docs/dyn/aiplatform_v1.projects.locations.hyperparameterTuningJobs.html b/docs/dyn/aiplatform_v1.projects.locations.hyperparameterTuningJobs.html
index 0791e580cc4..db0bc1330e6 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.hyperparameterTuningJobs.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.hyperparameterTuningJobs.html
@@ -268,6 +268,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -516,6 +517,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -806,6 +808,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -1067,6 +1070,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
diff --git a/docs/dyn/aiplatform_v1.projects.locations.nasJobs.html b/docs/dyn/aiplatform_v1.projects.locations.nasJobs.html
index eff4ab06c3b..3b6a4c7c463 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.nasJobs.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.nasJobs.html
@@ -223,6 +223,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -304,6 +305,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -471,6 +473,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -552,6 +555,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -761,6 +765,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -842,6 +847,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -1022,6 +1028,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
@@ -1103,6 +1110,7 @@ Method Details
"A String",
],
"network": "A String", # Optional. The full name of the Compute Engine [network](/compute/docs/networks-and-firewalls#networks) to which the Job should be peered. For example, `projects/12345/global/networks/myVPC`. [Format](/compute/docs/reference/rest/v1/networks/insert) is of the form `projects/{project}/global/networks/{network}`. Where {project} is a project number, as in `12345`, and {network} is a network name. To specify this field, you must have already [configured VPC Network Peering for Vertex AI](https://cloud.google.com/vertex-ai/docs/general/vpc-peering). If this field is left unspecified, the job is not peered with any network.
+ "persistentResourceId": "A String", # Optional. The ID of the PersistentResource in the same Project and Location which to run If this is specified, the job will be run on existing machines held by the PersistentResource instead of on-demand short-live machines. The network and CMEK configs on the job should be consistent with those on the PersistentResource, otherwise, the job will be rejected.
"protectedArtifactLocationId": "A String", # The ID of the location to store protected artifacts. e.g. us-central1. Populate only when the location is different than CustomJob location. List of supported locations: https://cloud.google.com/vertex-ai/docs/general/locations
"reservedIpRanges": [ # Optional. A list of names for the reserved ip ranges under the VPC network that can be used for this job. If set, we will deploy the job within the provided ip ranges. Otherwise, the job will be deployed to any ip ranges under the provided VPC network. Example: ['vertex-ai-ip-range'].
"A String",
diff --git a/docs/dyn/aiplatform_v1.projects.locations.persistentResources.html b/docs/dyn/aiplatform_v1.projects.locations.persistentResources.html
index a04edd83759..154cd5e1ccb 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.persistentResources.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.persistentResources.html
@@ -74,6 +74,11 @@
Vertex AI API . projects . locations . persistentResources
Instance Methods
+
+ operations()
+
+Returns the operations Resource.
+
Close httplib2 connections.
@@ -95,6 +100,9 @@ Instance Methods
patch(name, body=None, updateMask=None, x__xgafv=None)
Updates a PersistentResource.
+
+ reboot(name, body=None, x__xgafv=None)
+Reboots a PersistentResource.
Method Details
close()
@@ -549,4 +557,45 @@ Method Details
}
+
+ reboot(name, body=None, x__xgafv=None)
+ Reboots a PersistentResource.
+
+Args:
+ name: string, Required. The name of the PersistentResource resource. Format: `projects/{project_id_or_number}/locations/{location_id}/persistentResources/{persistent_resource_id}` (required)
+ body: object, The request body.
+ The object takes the form of:
+
+{ # Request message for PersistentResourceService.RebootPersistentResource.
+}
+
+ x__xgafv: string, V1 error format.
+ Allowed values
+ 1 - v1 error format
+ 2 - v2 error format
+
+Returns:
+ An object of the form:
+
+ { # This resource represents a long-running operation that is the result of a network API call.
+ "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+ "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+ "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+ "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+ {
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ ],
+ "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+ },
+ "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+ "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+ "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+ "a_key": "", # Properties of the object. Contains field @type with type URL.
+ },
+}
+
+