llama-stack-mirror/llama_stack/providers
Cesare Pompeiano ccaf6aaa51
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chore(python-deps): replace ibm_watson_machine_learning with ibm_watsonx_ai (#3302)
# What does this PR do?

This PR updates the Watsonx provider dependencies from
`ibm_watson_machine_learning` to `ibm_watsonx_ai`.

The old package `ibm_watson_machine_learning` is in **deprecation mode**
([[PyPI
link](https://pypi.org/project/ibm-watson-machine-learning/)](https://pypi.org/project/ibm-watson-machine-learning/))
and relies on older versions of dependencies such as `pandas`. Updating
to `ibm_watsonx_ai` ensures compatibility with current dependency
versions and ongoing support.

## Test Plan

I verified the update by running an inference using a model provided by
Watsonx. The model ran successfully, confirming that the new dependency
works as expected.

Co-authored-by: are-ces <cpompeia@redhat.com>
2025-09-03 11:33:35 +02:00
..
inline refactor: use generic WeightedInMemoryAggregator for hybrid search in SQLiteVecIndex (#3303) 2025-09-02 10:38:35 -07:00
registry chore(python-deps): replace ibm_watson_machine_learning with ibm_watsonx_ai (#3302) 2025-09-03 11:33:35 +02:00
remote chore(python-deps): replace ibm_watson_machine_learning with ibm_watsonx_ai (#3302) 2025-09-03 11:33:35 +02:00
utils chore(migrate apis): move VectorDBWithIndex from embeddings to openai_embeddings (#3294) 2025-08-31 14:48:35 -07:00
__init__.py API Updates (#73) 2024-09-17 19:51:35 -07:00
datatypes.py feat: create unregister shield API endpoint in Llama Stack (#2853) 2025-08-05 07:33:46 -07:00