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IBM Data and AI Ideas Portal for Customers

This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (

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Status Planned for future release
Workspace Speech Services
Created by Guest
Created on Apr 28, 2021

Allow metadata to be saved with custom language models

We need to create and manage custom language models for a potentially large number of different clients.

We would like to be able to save metadata with a custom language model that would help us to identify things like what client account the custom language model is for.

This metadata could be simple arbitrary key, value pairs saved with a custom language model at create time, and retrieved with the custom language model when a get is done.

For example:

 request = { "name": model_name,"base_model_name": base_model,"description" : model_name,
"metadata" : { "customer_id": "123456",
"type": "financial",
"billing_id" : "7865421"} }, auth=(username,password), verify=False, headers=headers, data=json.dumps(request).encode('utf-8'))

Currently we need to maintain this sort of data (association between a custom language model and the customer that it was created for) externally (e.g. in a database table), which needs to be kept synchronized with the actual custom language models.

Additionally, it would be nice to be able to retrieve custom language models by name or by metadata (though this is not essential since it's always possible to perform a GET to get all custom language models and then filter on the client side).