llama-stack-mirror/llama_stack/providers/remote
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
..
agents test: add unit test to ensure all config types are instantiable (#1601) 2025-03-12 22:29:58 -07:00
datasetio chore(misc): make tests and starter faster (#3042) 2025-08-05 14:55:05 -07:00
eval chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
files/s3 feat(files, s3, expiration): add expires_after support to S3 files provider (#3283) 2025-08-29 16:17:24 -07:00
inference chore(python-deps): replace ibm_watson_machine_learning with ibm_watsonx_ai (#3302) 2025-09-03 11:33:35 +02:00
post_training refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
safety refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
tool_runtime chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
vector_io feat: implement keyword, vector and hybrid search inside vector stores for PGVector provider (#3064) 2025-08-29 16:30:12 +02:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00