Commit graph

4 commits

Author SHA1 Message Date
Sébastien Han
c245cb580c
chore: remove nested imports
* Since our API packages use import * in __init__.py, we can import
  directly from llama_stack.apis.models instead of
  llama_stack.apis.models.models.  However, the choice to use import *
  is debatable and may need to be reconsidered in the future.

* Remove the unnecessary Ruff F401 suppression.

* Consolidate the Ruff F403 rule configuration in
pyproject.toml.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-06-25 13:07:15 +02:00
Divya
c985ea6326
fix: Adding Embedding model to watsonx inference (#2118)
# What does this PR do?
Issue Link : https://github.com/meta-llama/llama-stack/issues/2117

## Test Plan
Once added, User will be able to use Sentence Transformer model
`all-MiniLM-L6-v2`
2025-05-12 10:58:22 -07:00
Ashwin Bharambe
272d3359ee
fix: remove code interpeter implementation (#2087)
# What does this PR do?

The builtin implementation of code interpreter is not robust and has a
really weak sandboxing shell (the `bubblewrap` container). Given the
availability of better MCP code interpreter servers coming up, we should
use them instead of baking an implementation into the Stack and
expanding the vulnerability surface to the rest of the Stack.

This PR only does the removal. We will add examples with how to
integrate with MCPs in subsequent ones.

## Test Plan

Existing tests.
2025-05-01 14:35:08 -07:00
Sajikumar JS
1bb1d9b2ba
feat: Add watsonx inference adapter (#1895)
# What does this PR do?
IBM watsonx ai added as the inference [#1741
](https://github.com/meta-llama/llama-stack/issues/1741)

[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

---------

Co-authored-by: Sajikumar JS <sajikumar.js@ibm.com>
2025-04-25 11:29:21 -07:00