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@MikeRalphson
MikeRalphson committed Jan 29, 2024
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70 changes: 68 additions & 2 deletions APIs/googleapis.com/aiplatform/v1/openapi.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -5848,6 +5848,11 @@ paths:
name: pipelineJobId
schema:
type: string
- description: Optional. Whether to do component level validations before job creation. Currently we only support Google First Party Component/Pipelines.
in: query
name: preflightValidations
schema:
type: boolean
requestBody:
content:
application/json:
Expand Down Expand Up @@ -7825,6 +7830,9 @@ components:
- FINISH_REASON_RECITATION
- FINISH_REASON_OTHER
type: string
groundingMetadata:
$ref: "#/components/schemas/LearningGenaiRootGroundingMetadata"
description: Grounding metadata. Combine with the facts list from response to generate grounding citations for this choice.
index:
description: Index of the candidate.
format: int32
Expand Down Expand Up @@ -7880,6 +7888,22 @@ components:
description: The role of the current conversation participant.
type: string
type: object
CloudAiNlLlmProtoServiceFact:
description: A condense version of WorldFact (assistant/boq/lamda/factuality/proto/factuality.proto) to propagate the essential information about the fact used in factuality to the upstream caller.
properties:
query:
description: Query that is used to retrieve this fact.
type: string
summary:
description: If present, the summary/snippet of the fact.
type: string
title:
description: If present, it refers to the title of this fact.
type: string
url:
description: If present, this URL links to the webpage of the fact.
type: string
type: object
CloudAiNlLlmProtoServiceFunctionCall:
description: Function call details.
properties:
Expand Down Expand Up @@ -7914,6 +7938,11 @@ components:
debugMetadata:
$ref: "#/components/schemas/CloudAiNlLlmProtoServiceMessageMetadata"
description: Debug information containing message metadata. Clients should not consume this field, and this is only populated for Flow Runner path.
facts:
description: External facts retrieved for factuality/grounding.
items:
$ref: "#/components/schemas/CloudAiNlLlmProtoServiceFact"
type: array
promptFeedback:
$ref: "#/components/schemas/CloudAiNlLlmProtoServicePromptFeedback"
description: "Content filter results for a prompt sent in the request. Note: Sent only in the first stream chunk. Only happens when no candidates were generated due to content violations."
Expand Down Expand Up @@ -7991,11 +8020,26 @@ components:
description: The end offset of the video.
format: google-duration
type: string
modelLevelMetaData:
$ref: "#/components/schemas/CloudAiNlLlmProtoServicePartVideoMetadataModelLevelMetadata"
description: Internal only model level metadata.
startOffset:
description: The start offset of the video.
format: google-duration
type: string
type: object
CloudAiNlLlmProtoServicePartVideoMetadataModelLevelMetadata:
description: Internal only fields
properties:
fps:
description: Frame rate to decode from this video.
format: float
type: number
numFrames:
description: Number of frames to decode from this video.
format: int32
type: integer
type: object
CloudAiNlLlmProtoServicePromptFeedback:
description: Content filter results for a prompt sent in the request.
properties:
Expand Down Expand Up @@ -9361,6 +9405,9 @@ components:
pipelineJobId:
description: The ID to use for the PipelineJob, which will become the final component of the PipelineJob name. If not provided, an ID will be automatically generated. This value should be less than 128 characters, and valid characters are `/a-z-/`.
type: string
preflightValidations:
description: Optional. Whether to do component level validations before job creation. Currently we only support Google First Party Component/Pipelines.
type: boolean
type: object
GoogleCloudAiplatformV1CreateRegistryFeatureOperationMetadata:
description: Details of operations that perform create FeatureGroup.
Expand Down Expand Up @@ -10539,7 +10586,7 @@ components:
description: Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.
properties:
attributions:
description: Output only. Feature attributions grouped by predicted outputs. For Models that predict only one output, such as regression Models that predict only one score, there is only one attibution that explains the predicted output. For Models that predict multiple outputs, such as multiclass Models that predict multiple classes, each element explains one specific item. Attribution.output_index can be used to identify which output this attribution is explaining. If users set ExplanationParameters.top_k, the attributions are sorted by instance_output_value in descending order. If ExplanationParameters.output_indices is specified, the attributions are stored by Attribution.output_index in the same order as they appear in the output_indices.
description: Output only. Feature attributions grouped by predicted outputs. For Models that predict only one output, such as regression Models that predict only one score, there is only one attibution that explains the predicted output. For Models that predict multiple outputs, such as multiclass Models that predict multiple classes, each element explains one specific item. Attribution.output_index can be used to identify which output this attribution is explaining. By default, we provide Shapley values for the predicted class. However, you can configure the explanation request to generate Shapley values for any other classes too. For example, if a model predicts a probability of `0.4` for approving a loan application, the model's decision is to reject the application since `p(reject) = 0.6 > p(approve) = 0.4`, and the default Shapley values would be computed for rejection decision and not approval, even though the latter might be the positive class. If users set ExplanationParameters.top_k, the attributions are sorted by instance_output_value in descending order. If ExplanationParameters.output_indices is specified, the attributions are stored by Attribution.output_index in the same order as they appear in the output_indices.
items:
$ref: "#/components/schemas/GoogleCloudAiplatformV1Attribution"
readOnly: true
Expand Down Expand Up @@ -12280,6 +12327,12 @@ components:
description: Output only. The ip address used to send match gRPC requests.
readOnly: true
type: string
pscAutomatedEndpoints:
description: Output only. PscAutomatedEndpoints is populated if private service connect is enabled if PscAutomatedConfig is set.
items:
$ref: "#/components/schemas/GoogleCloudAiplatformV1PscAutomatedEndpoints"
readOnly: true
type: array
serviceAttachment:
description: Output only. The name of the service attachment resource. Populated if private service connect is enabled.
readOnly: true
Expand Down Expand Up @@ -15097,6 +15150,19 @@ components:
type: string
type: array
type: object
GoogleCloudAiplatformV1PscAutomatedEndpoints:
description: PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.
properties:
matchAddress:
description: Ip Address created by the automated forwarding rule.
type: string
network:
description: Corresponding network in pscAutomationConfigs.
type: string
projectId:
description: Corresponding project_id in pscAutomationConfigs
type: string
type: object
GoogleCloudAiplatformV1PublisherModel:
description: A Model Garden Publisher Model.
properties:
Expand Down Expand Up @@ -20046,7 +20112,7 @@ components:
type: string
type: array
role:
description: Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`.
description: Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
type: string
type: object
GoogleIamV1Policy:
Expand Down
77 changes: 68 additions & 9 deletions APIs/googleapis.com/aiplatform/v1beta1/openapi.yaml
View file
Original file line number Diff line number Diff line change
Expand Up @@ -5975,6 +5975,11 @@ paths:
name: pipelineJobId
schema:
type: string
- description: Optional. Whether to do component level validations before job creation. Currently we only support Google First Party Component/Pipelines.
in: query
name: preflightValidations
schema:
type: boolean
requestBody:
content:
application/json:
Expand Down Expand Up @@ -8026,6 +8031,9 @@ components:
- FINISH_REASON_RECITATION
- FINISH_REASON_OTHER
type: string
groundingMetadata:
$ref: "#/components/schemas/LearningGenaiRootGroundingMetadata"
description: Grounding metadata. Combine with the facts list from response to generate grounding citations for this choice.
index:
description: Index of the candidate.
format: int32
Expand Down Expand Up @@ -8081,6 +8089,22 @@ components:
description: The role of the current conversation participant.
type: string
type: object
CloudAiNlLlmProtoServiceFact:
description: A condense version of WorldFact (assistant/boq/lamda/factuality/proto/factuality.proto) to propagate the essential information about the fact used in factuality to the upstream caller.
properties:
query:
description: Query that is used to retrieve this fact.
type: string
summary:
description: If present, the summary/snippet of the fact.
type: string
title:
description: If present, it refers to the title of this fact.
type: string
url:
description: If present, this URL links to the webpage of the fact.
type: string
type: object
CloudAiNlLlmProtoServiceFunctionCall:
description: Function call details.
properties:
Expand Down Expand Up @@ -8115,6 +8139,11 @@ components:
debugMetadata:
$ref: "#/components/schemas/CloudAiNlLlmProtoServiceMessageMetadata"
description: Debug information containing message metadata. Clients should not consume this field, and this is only populated for Flow Runner path.
facts:
description: External facts retrieved for factuality/grounding.
items:
$ref: "#/components/schemas/CloudAiNlLlmProtoServiceFact"
type: array
promptFeedback:
$ref: "#/components/schemas/CloudAiNlLlmProtoServicePromptFeedback"
description: "Content filter results for a prompt sent in the request. Note: Sent only in the first stream chunk. Only happens when no candidates were generated due to content violations."
Expand Down Expand Up @@ -8192,11 +8221,26 @@ components:
description: The end offset of the video.
format: google-duration
type: string
modelLevelMetaData:
$ref: "#/components/schemas/CloudAiNlLlmProtoServicePartVideoMetadataModelLevelMetadata"
description: Internal only model level metadata.
startOffset:
description: The start offset of the video.
format: google-duration
type: string
type: object
CloudAiNlLlmProtoServicePartVideoMetadataModelLevelMetadata:
description: Internal only fields
properties:
fps:
description: Frame rate to decode from this video.
format: float
type: number
numFrames:
description: Number of frames to decode from this video.
format: int32
type: integer
type: object
CloudAiNlLlmProtoServicePromptFeedback:
description: Content filter results for a prompt sent in the request.
properties:
Expand Down Expand Up @@ -9526,13 +9570,6 @@ components:
$ref: "#/components/schemas/GoogleCloudAiplatformV1beta1GenericOperationMetadata"
description: The common part of the operation metadata.
type: object
GoogleCloudAiplatformV1beta1CreateExtensionDeploymentOperationMetadata:
description: Details of ExtensionRegistryService.CreateExtensionDeployment operation.
properties:
genericMetadata:
$ref: "#/components/schemas/GoogleCloudAiplatformV1beta1GenericOperationMetadata"
description: The common part of the operation metadata.
type: object
GoogleCloudAiplatformV1beta1CreateFeatureGroupOperationMetadata:
description: Details of operations that perform create FeatureGroup.
properties:
Expand Down Expand Up @@ -9634,6 +9671,9 @@ components:
pipelineJobId:
description: The ID to use for the PipelineJob, which will become the final component of the PipelineJob name. If not provided, an ID will be automatically generated. This value should be less than 128 characters, and valid characters are `/a-z-/`.
type: string
preflightValidations:
description: Optional. Whether to do component level validations before job creation. Currently we only support Google First Party Component/Pipelines.
type: boolean
type: object
GoogleCloudAiplatformV1beta1CreateRegistryFeatureOperationMetadata:
description: Details of operations that perform create FeatureGroup.
Expand Down Expand Up @@ -10854,7 +10894,7 @@ components:
description: Explanation of a prediction (provided in PredictResponse.predictions) produced by the Model on a given instance.
properties:
attributions:
description: Output only. Feature attributions grouped by predicted outputs. For Models that predict only one output, such as regression Models that predict only one score, there is only one attibution that explains the predicted output. For Models that predict multiple outputs, such as multiclass Models that predict multiple classes, each element explains one specific item. Attribution.output_index can be used to identify which output this attribution is explaining. If users set ExplanationParameters.top_k, the attributions are sorted by instance_output_value in descending order. If ExplanationParameters.output_indices is specified, the attributions are stored by Attribution.output_index in the same order as they appear in the output_indices.
description: Output only. Feature attributions grouped by predicted outputs. For Models that predict only one output, such as regression Models that predict only one score, there is only one attibution that explains the predicted output. For Models that predict multiple outputs, such as multiclass Models that predict multiple classes, each element explains one specific item. Attribution.output_index can be used to identify which output this attribution is explaining. By default, we provide Shapley values for the predicted class. However, you can configure the explanation request to generate Shapley values for any other classes too. For example, if a model predicts a probability of `0.4` for approving a loan application, the model's decision is to reject the application since `p(reject) = 0.6 > p(approve) = 0.4`, and the default Shapley values would be computed for rejection decision and not approval, even though the latter might be the positive class. If users set ExplanationParameters.top_k, the attributions are sorted by instance_output_value in descending order. If ExplanationParameters.output_indices is specified, the attributions are stored by Attribution.output_index in the same order as they appear in the output_indices.
items:
$ref: "#/components/schemas/GoogleCloudAiplatformV1beta1Attribution"
readOnly: true
Expand Down Expand Up @@ -12724,6 +12764,12 @@ components:
description: Output only. The ip address used to send match gRPC requests.
readOnly: true
type: string
pscAutomatedEndpoints:
description: Output only. PscAutomatedEndpoints is populated if private service connect is enabled if PscAutomatedConfig is set.
items:
$ref: "#/components/schemas/GoogleCloudAiplatformV1beta1PscAutomatedEndpoints"
readOnly: true
type: array
serviceAttachment:
description: Output only. The name of the service attachment resource. Populated if private service connect is enabled.
readOnly: true
Expand Down Expand Up @@ -15739,6 +15785,19 @@ components:
type: string
type: array
type: object
GoogleCloudAiplatformV1beta1PscAutomatedEndpoints:
description: PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.
properties:
matchAddress:
description: Ip Address created by the automated forwarding rule.
type: string
network:
description: Corresponding network in pscAutomationConfigs.
type: string
projectId:
description: Corresponding project_id in pscAutomationConfigs
type: string
type: object
GoogleCloudAiplatformV1beta1PublisherModel:
description: A Model Garden Publisher Model.
properties:
Expand Down Expand Up @@ -20831,7 +20890,7 @@ components:
type: string
type: array
role:
description: Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`.
description: Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
type: string
type: object
GoogleIamV1GetIamPolicyRequest:
Expand Down
2 changes: 1 addition & 1 deletion APIs/googleapis.com/analyticsdata/v1beta/openapi.yaml
View file
Original file line number Diff line number Diff line change
Expand Up @@ -859,7 +859,7 @@ components:
description: The display name of the category that this dimension belongs to. Similar dimensions and metrics are categorized together.
type: string
customDefinition:
description: True if the dimension is a custom dimension for this property.
description: True if the dimension is custom to this property. This includes user, event, & item scoped custom dimensions; to learn more about custom dimensions, see https://support.google.com/analytics/answer/14240153. This also include custom channel groups; to learn more about custom channel groups, see https://support.google.com/analytics/answer/13051316.
type: boolean
deprecatedApiNames:
description: Still usable but deprecated names for this dimension. If populated, this dimension is available by either `apiName` or one of `deprecatedApiNames` for a period of time. After the deprecation period, the dimension will be available only by `apiName`.
Expand Down
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