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In this article:

  • class yandex_cloud_ml_sdk._chat.text_embeddings.function.AsyncChatEmbeddings
  • class yandex_cloud_ml_sdk._chat.text_embeddings.model.AsyncChatEmbeddingsModel

Domain

Written by
Yandex Cloud
Updated at November 7, 2025
  • class yandex_cloud_ml_sdk._chat.text_embeddings.function.AsyncChatEmbeddings
  • class yandex_cloud_ml_sdk._chat.text_embeddings.model.AsyncChatEmbeddingsModel

class yandexcloudmlsdk.chat.textembeddings.function.AsyncChatEmbeddingsclass yandex_cloud_ml_sdk._chat.text_embeddings.function.AsyncChatEmbeddings

async list(*, timeout=60)

Parameters

timeout (float)

Return type

tuple[AsyncChatEmbeddingsModel, …]

__call__(model_name, *, model_version='latest')

Create a model instance in selected chat subdomain (completions, embeddings, etc)

Constructs the model URI based on the provided name and version. If the name contains ‘://’, it is treated as a full URI. Otherwise constructs a URI in the form ‘gpt://<folder_id>//’.

Parameters

  • model_name (str) – The name or URI of the model.
  • model_version (str) – The version of the model to use. Defaults to ‘latest’.

Return type

ModelTypeT

Model

class yandexcloudmlsdk.chat.textembeddings.model.AsyncChatEmbeddingsModelclass yandex_cloud_ml_sdk._chat.text_embeddings.model.AsyncChatEmbeddingsModel

async run(input, *, timeout=180)

Parameters

input (str | Sequence[str])

Return type

ChatEmbeddingsModelResult

property config: ConfigTypeT

configure(*, dimensions=Undefined, encoding_format=Undefined, extra_query=Undefined)

Parameters

  • dimensions (UndefinedOr[int])
  • encoding_format (UndefinedOr[EncodingFormatType])
  • extra_query (UndefinedOr[QueryType])

Return type

Self

property uri: str

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