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Oct 22, 2025
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feat(all): auto-regenerate discovery clients #3347

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225 changes: 220 additions & 5 deletions aiplatform/v1/aiplatform-api.json
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Original file line number Diff line number Diff line change
Expand Up @@ -15697,6 +15697,35 @@
"https://www.googleapis.com/auth/cloud-platform"
]
},
"embedContent": {
"description": "Embed content with multimodal inputs.",
"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/publishers/{publishersId}/models/{modelsId}:embedContent",
"httpMethod": "POST",
"id": "aiplatform.projects.locations.publishers.models.embedContent",
"parameterOrder": [
"model"
],
"parameters": {
"model": {
"description": "Required. The name of the publisher model requested to serve the prediction. Format: `projects/{project}/locations/{location}/publishers/*/models/*`",
"location": "path",
"pattern": "^projects/[^/]+/locations/[^/]+/publishers/[^/]+/models/[^/]+$",
"required": true,
"type": "string"
}
},
"path": "v1/{+model}:embedContent",
"request": {
"$ref": "GoogleCloudAiplatformV1EmbedContentRequest"
},
"response": {
"$ref": "GoogleCloudAiplatformV1EmbedContentResponse"
},
"scopes": [
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/cloud-platform.read-only"
]
},
"fetchPredictOperation": {
"description": "Fetch an asynchronous online prediction operation.",
"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/publishers/{publishersId}/models/{modelsId}:fetchPredictOperation",
Expand Down Expand Up @@ -21198,7 +21227,7 @@
}
}
},
"revision": "20251003",
"revision": "20251010",
"rootUrl": "https://aiplatform.googleapis.com/",
"schemas": {
"CloudAiLargeModelsVisionGenerateVideoResponse": {
Expand Down Expand Up @@ -24271,7 +24300,9 @@
"GETTING_CONTAINER_IMAGE",
"STARTING_MODEL_SERVER",
"FINISHING_UP",
"DEPLOYMENT_TERMINATED"
"DEPLOYMENT_TERMINATED",
"SUCCESSFULLY_DEPLOYED",
"FAILED_TO_DEPLOY"
],
"enumDescriptions": [
"Default value. This value is unused.",
Expand All @@ -24282,7 +24313,9 @@
"The deployment is getting the container image for the model server.",
"The deployment is starting the model server.",
"The deployment is performing finalization steps.",
"The deployment has terminated."
"The deployment has terminated.",
"The deployment has succeeded.",
"The deployment has failed."
],
"readOnly": true,
"type": "string"
Expand Down Expand Up @@ -25364,7 +25397,9 @@
"GETTING_CONTAINER_IMAGE",
"STARTING_MODEL_SERVER",
"FINISHING_UP",
"DEPLOYMENT_TERMINATED"
"DEPLOYMENT_TERMINATED",
"SUCCESSFULLY_DEPLOYED",
"FAILED_TO_DEPLOY"
],
"enumDescriptions": [
"Default value. This value is unused.",
Expand All @@ -25375,7 +25410,9 @@
"The deployment is getting the container image for the model server.",
"The deployment is starting the model server.",
"The deployment is performing finalization steps.",
"The deployment has terminated."
"The deployment has terminated.",
"The deployment has succeeded.",
"The deployment has failed."
],
"readOnly": true,
"type": "string"
Expand Down Expand Up @@ -26063,6 +26100,90 @@
},
"type": "object"
},
"GoogleCloudAiplatformV1EmbedContentRequest": {
"description": "Request message for PredictionService.EmbedContent.",
"id": "GoogleCloudAiplatformV1EmbedContentRequest",
"properties": {
"autoTruncate": {
"description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.",
"type": "boolean"
},
"content": {
"$ref": "GoogleCloudAiplatformV1Content",
"description": "Required. Input content to be embedded. Required."
},
"outputDimensionality": {
"description": "Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.",
"format": "int32",
"type": "integer"
},
"taskType": {
"description": "Optional. The task type of the embedding.",
"enum": [
"UNSPECIFIED",
"RETRIEVAL_QUERY",
"RETRIEVAL_DOCUMENT",
"SEMANTIC_SIMILARITY",
"CLASSIFICATION",
"CLUSTERING",
"QUESTION_ANSWERING",
"FACT_VERIFICATION",
"CODE_RETRIEVAL_QUERY"
],
"enumDescriptions": [
"Unset value, which will default to one of the other enum values.",
"Specifies the given text is a query in a search/retrieval setting.",
"Specifies the given text is a document from the corpus being searched.",
"Specifies the given text will be used for STS.",
"Specifies that the given text will be classified.",
"Specifies that the embeddings will be used for clustering.",
"Specifies that the embeddings will be used for question answering.",
"Specifies that the embeddings will be used for fact verification.",
"Specifies that the embeddings will be used for code retrieval."
],
"type": "string"
},
"title": {
"description": "Optional. An optional title for the text.",
"type": "string"
}
},
"type": "object"
},
"GoogleCloudAiplatformV1EmbedContentResponse": {
"description": "Response message for PredictionService.EmbedContent.",
"id": "GoogleCloudAiplatformV1EmbedContentResponse",
"properties": {
"embedding": {
"$ref": "GoogleCloudAiplatformV1EmbedContentResponseEmbedding",
"description": "The embedding generated from the input content."
},
"truncated": {
"description": "Whether the input content was truncated before generating the embedding.",
"type": "boolean"
},
"usageMetadata": {
"$ref": "GoogleCloudAiplatformV1UsageMetadata",
"description": "Metadata about the response(s)."
}
},
"type": "object"
},
"GoogleCloudAiplatformV1EmbedContentResponseEmbedding": {
"description": "A list of floats representing an embedding.",
"id": "GoogleCloudAiplatformV1EmbedContentResponseEmbedding",
"properties": {
"values": {
"description": "Embedding vector values.",
"items": {
"format": "float",
"type": "number"
},
"type": "array"
}
},
"type": "object"
},
"GoogleCloudAiplatformV1EncryptionSpec": {
"description": "Represents a customer-managed encryption key spec that can be applied to a top-level resource.",
"id": "GoogleCloudAiplatformV1EncryptionSpec",
Expand Down Expand Up @@ -38080,6 +38201,13 @@
},
"type": "array"
},
"labels": {
"additionalProperties": {
"type": "string"
},
"description": "Optional. The user labels for Imagen billing usage only. Only Imagen supports labels. For other use cases, it will be ignored.",
"type": "object"
},
"parameters": {
"description": "The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.",
"type": "any"
Expand Down Expand Up @@ -49940,6 +50068,93 @@
},
"type": "object"
},
"GoogleCloudAiplatformV1UsageMetadata": {
"description": "Usage metadata about the content generation request and response. This message provides a detailed breakdown of token usage and other relevant metrics.",
"id": "GoogleCloudAiplatformV1UsageMetadata",
"properties": {
"cacheTokensDetails": {
"description": "Output only. A detailed breakdown of the token count for each modality in the cached content.",
"items": {
"$ref": "GoogleCloudAiplatformV1ModalityTokenCount"
},
"readOnly": true,
"type": "array"
},
"cachedContentTokenCount": {
"description": "Output only. The number of tokens in the cached content that was used for this request.",
"format": "int32",
"readOnly": true,
"type": "integer"
},
"candidatesTokenCount": {
"description": "The total number of tokens in the generated candidates.",
"format": "int32",
"type": "integer"
},
"candidatesTokensDetails": {
"description": "Output only. A detailed breakdown of the token count for each modality in the generated candidates.",
"items": {
"$ref": "GoogleCloudAiplatformV1ModalityTokenCount"
},
"readOnly": true,
"type": "array"
},
"promptTokenCount": {
"description": "The total number of tokens in the prompt. This includes any text, images, or other media provided in the request. When `cached_content` is set, this also includes the number of tokens in the cached content.",
"format": "int32",
"type": "integer"
},
"promptTokensDetails": {
"description": "Output only. A detailed breakdown of the token count for each modality in the prompt.",
"items": {
"$ref": "GoogleCloudAiplatformV1ModalityTokenCount"
},
"readOnly": true,
"type": "array"
},
"thoughtsTokenCount": {
"description": "Output only. The number of tokens that were part of the model's generated \"thoughts\" output, if applicable.",
"format": "int32",
"readOnly": true,
"type": "integer"
},
"toolUsePromptTokenCount": {
"description": "Output only. The number of tokens in the results from tool executions, which are provided back to the model as input, if applicable.",
"format": "int32",
"readOnly": true,
"type": "integer"
},
"toolUsePromptTokensDetails": {
"description": "Output only. A detailed breakdown by modality of the token counts from the results of tool executions, which are provided back to the model as input.",
"items": {
"$ref": "GoogleCloudAiplatformV1ModalityTokenCount"
},
"readOnly": true,
"type": "array"
},
"totalTokenCount": {
"description": "The total number of tokens for the entire request. This is the sum of `prompt_token_count`, `candidates_token_count`, `tool_use_prompt_token_count`, and `thoughts_token_count`.",
"format": "int32",
"type": "integer"
},
"trafficType": {
"description": "Output only. The traffic type for this request.",
"enum": [
"TRAFFIC_TYPE_UNSPECIFIED",
"ON_DEMAND",
"PROVISIONED_THROUGHPUT"
],
"enumDescriptions": [
"Unspecified request traffic type.",
"Type for Pay-As-You-Go traffic.",
"Type for Provisioned Throughput traffic."
],
"readOnly": true,
"type": "string"
}
},
"type": "object"
},
"GoogleCloudAiplatformV1UserActionReference": {
"description": "References an API call. It contains more information about long running operation and Jobs that are triggered by the API call.",
"id": "GoogleCloudAiplatformV1UserActionReference",
Expand Down
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