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Add dimensions field to Google Vertex AI service settings #5378

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Oct 1, 2025
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Add dimensions field to Google Vertex AI service settings #5378

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1 change: 1 addition & 0 deletions specification/_doc_ids/table.csv
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Expand Up @@ -272,6 +272,7 @@ get-transform,https://www.elastic.co/docs/api/doc/elasticsearch/operation/operat
get-trial-status,https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-license-get-trial-status,https://www.elastic.co/guide/en/elasticsearch/reference/8.18/get-trial-status.html,
googlevertexai-locations,https://cloud.google.com/vertex-ai/generative-ai/docs/learn/locations,,
googlevertexai-models,https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api,,
googlevertexai-output-dimensionality,https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings,,
googlevertexai-thinking,https://ai.google.dev/gemini-api/docs/thinking#set-budget,,
googleaistudio-models,https://ai.google.dev/gemini-api/docs/models,,
graph,https://www.elastic.co/docs/explore-analyze/visualize/graph,,
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7 changes: 7 additions & 0 deletions specification/inference/_types/CommonTypes.ts
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Expand Up @@ -1366,6 +1366,13 @@ export class GoogleVertexAIServiceSettings {
* A valid service account in JSON format for the Google Vertex AI API.
*/
service_account_json: string
/**
* For a `text_embedding` task, the number of dimensions the resulting output embeddings should have.
* By default, the model's standard output dimension is used.
* Refer to the Google documentation for more information.
* @ext_doc_id googlevertexai-output-dimensionality
*/
dimensions?: integer
}

export class GoogleVertexAITaskSettings {
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