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Status Submitted
Workspace watsonx.ai
Created by Guest
Created on Mar 3, 2025

RELATED IDEAS

Deprecation/Removal Notice/Warning for Deprecated LLM Models on Watsonx AI via Watsonx SDK call. Support case CS4244931

See this idea on ideas.ibm.com

As users of the Wastonx AI platform, most of the time we use the watsonx python SDK to call the model API. Support case CS4244931

Currently:
Now, we can see the deprecation as well as removal details of a particular model from the Watsonx UI in prompt lab.
As a user, I can see all these informations in the prompt lab.
Its a manual process to open prompt lab and perceive it.

Problem:
But all these deprecation warning, removal date are not received in the downstream API call via cURL or Python SDK, which makes it difficult o keep a track for the LLM that's getting deprecated. Since, no precaution is received we still continue to use the old model, and when its removed, all the downstream application starts failing with escalation in process.

Solution:
Adding the Warning/notice when using the SDK to call.
This warning can be sent as a metadata, and in doing so, it helps in being ready for the removal or change the models in configurations with safe time in hand.
 

Needed By Month
  • Guest
    Reply
    |     Mar 3, 2025

    This is a good RFE.  The caveat is that output of API calls are not often monitored and warning/message at API level may also go unnoticed.

    1) One of the way notifications can be sent are by opt-in process at watsonx.ai instance level configuration in IBM Cloud for future updates/notifications.

    2) Additionally, this instance configuration can list all the models supported by watsonx.ai and instance owner/admin can check which model they plan to use from the list.   The opt-in notification can trigger notifications only for the models they selected and not for the entire spectrum of models available whether they are used or not.  
    3) This can list can also show (Deprecated on <date>) with the name of the model name as well so developers/admin do not select those models proactively.

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