llama-stack-mirror/llama_stack/providers/registry
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
..
__init__.py API Updates (#73) 2024-09-17 19:51:35 -07:00
agents.py fix: only load mcp when enabled in tool_group (#2621) 2025-07-04 20:27:05 +05:30
batches.py feat: add batches API with OpenAI compatibility (with inference replay) (#3162) 2025-08-15 15:34:15 -07:00
datasetio.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
eval.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
files.py feat: Add S3 Files Provider (#3202) 2025-08-22 10:38:59 -04:00
inference.py chore(python-deps): replace ibm_watson_machine_learning with ibm_watsonx_ai (#3302) 2025-09-03 11:33:35 +02:00
post_training.py feat(distro): no huggingface provider for starter (#3258) 2025-08-26 14:06:36 -07:00
safety.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
scoring.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
telemetry.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
tool_runtime.py fix: only load mcp when enabled in tool_group (#2621) 2025-07-04 20:27:05 +05:30
vector_io.py feat: implement keyword, vector and hybrid search inside vector stores for PGVector provider (#3064) 2025-08-29 16:30:12 +02:00