GET

/v1/schemas/google-vertex/embeddings/v1/projects/{projectsId}/locations/{locationsId}/publishers/{publishersId}/models/{modelsId}:embedContent?kind=output

Accept:

kind outputactivity embeddingshash 080d1728…extracted Oct 7, 2026version currentsource upstream spec ↗

field	recorded source
schema	Source linked above. upstream-spec Source trace `c53822c7158de0461a16c06223d306d1a32575088879045c6cc5e9ffe21cd46c` { "fetchedAt": 1791350027, "extractorVersion": "1", "verifiedAt": null }

Response body

3 properties · 0 required · 3 $defs

property	type	description
usageMetadata	GoogleCloudAiplatformV1UsageMetadata	Usage metadata about the content generation request and response. This message provides a detailed breakdown of token usage and other relevant metrics.
embedding	GoogleCloudAiplatformV1EmbedContentResponseEmbedding	A list of floats representing an embedding.
truncated	boolean	Whether the input content was truncated before generating the embedding.

Types

3 $defs

GoogleCloudAiplatformV1EmbedContentResponseEmbeddingobject

A list of floats representing an embedding.

values

number[]

Embedding vector values.

GoogleCloudAiplatformV1ModalityTokenCountobject

Represents a breakdown of token usage by modality. This message is used in CountTokensResponse and GenerateContentResponse.UsageMetadata to provide a detailed view of how many tokens are used by each modality (e.g., text, image, video) in a request. This is pa…

tokenCount	integer	The number of tokens counted for this modality.	format: int32
modality	enum	The modality that this token count applies to.	MODALITY_UNSPECIFIED \| TEXT \| IMAGE \| VIDEO \| AUDIO \| DOCUMENT

GoogleCloudAiplatformV1UsageMetadataobject

Usage metadata about the content generation request and response. This message provides a detailed breakdown of token usage and other relevant metrics.

candidatesTokenCount	integer	The total number of tokens in the generated candidates.	format: int32
promptTokensDetails	GoogleCloudAiplatformV1ModalityTokenCount[]	Output only. A detailed breakdown of the token count for each modality in the prompt.
trafficType	enum	Output only. The traffic type for this request.	TRAFFIC_TYPE_UNSPECIFIED \| ON_DEMAND \| ON_DEMAND_PRIORITY \| ON_DEMAND_FLEX \| ON_DEMAND_OFFPEAK \| PROVISIONED_THROUGHPUT
candidatesTokensDetails	GoogleCloudAiplatformV1ModalityTokenCount[]	Output only. A detailed breakdown of the token count for each modality in the generated candidates.
totalTokenCount	integer	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
toolUsePromptTokensDetails	GoogleCloudAiplatformV1ModalityTokenCount[]	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.
toolUsePromptTokenCount	integer	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
thoughtsTokenCount	integer	Output only. The number of tokens that were part of the model's generated "thoughts" output, if applicable.	format: int32
cachedContentTokenCount	integer	Output only. The number of tokens in the cached content that was used for this request.	format: int32
promptTokenCount	integer	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
cacheTokensDetails	GoogleCloudAiplatformV1ModalityTokenCount[]	Output only. A detailed breakdown of the token count for each modality in the cached content.

Validate a payload

before you spend tokens

shell

$ curl -X POST https://modelschemas.com/v1/validate \
    -d '{"provider":"google-vertex","endpointId":"v1/projects/{projectsId}/locations/{locationsId}/publishers/{publishersId}/models/{modelsId}:embedContent","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}