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Status Delivered
Workspace watsonx.ai
Created by Guest
Created on Apr 11, 2025

Support for Asynchronous Calls to Embedding Models

Current embedding model APIs operate synchronously, which can lead to long wait times and inefficiencies, especially when processing large volumes of data or complex inputs. This RFE proposes adding support for asynchronous (async) API calls to embedding models to improve performance, scalability, and user experience.

Needed By Quarter
  • Admin
    Vijesh Bhaktha Rajagopal
    Oct 28, 2025

    Marking as shipped - as SDK supports async API calls.

  • Admin
    Nisarg Patel
    Jun 19, 2025

    Hi following up on this, can I close this? Direct async API calls are needed because async through the SDK is already supported?


    https://ibm.github.io/watsonx-ai-python-sdk/fm_embeddings.html#ibm_watsonx_ai.foundation_models.embeddings.Embeddings.agenerate

  • Guest
    May 7, 2025

    I've looked at the OpenAI REST API spec https://platform.openai.com/docs/api-reference/embeddings/object and they only have a sync API.  So it means the Python SDK is doing the async work here, not the actual REST API.  Note the openai python library referenced is version 0.0.3, with no updates since March 2023, so most of their newer APIs aren't supported through that lib.  I will talk to the team for considering adding it in the context of embedding models only.

  • Guest
    May 5, 2025

    Client stated again that async calls are industry standard, as many follow the OpenAI standard (https://pypi.org/project/openai-async/). Only IBM is the "outlier", so we'd welcome a prioritisation.