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Address review comments for global vector store configuration

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- Remove incorrect 'Llama-Stack v2' version reference from documentation
- Move MissingEmbeddingModelError to llama_stack/apis/common/errors.py
- Update docstring references to point to correct exception location
- Clarify default_embedding_dimension behavior (defaults to 384)
- Update test imports and exception handling
This commit is contained in:
skamenan7 2025-07-30 13:40:33 -04:00
parent f9afad99f8
commit a368f4af40
4 changed files with 5 additions and 6 deletions
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llama_stack/apis/common/vector_store_config.py
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@ -29,7 +29,7 @@ class VectorStoreConfig(BaseModel):
default_embedding_model
The model *id* the stack should use when an embedding model is
required but not supplied by the API caller. When *None* the
router will raise a :class:`~llama_stack.errors.MissingEmbeddingModelError`.
router will raise a :class:`~llama_stack.apis.common.errors.MissingEmbeddingModelError`.
default_embedding_dimension
Optional integer hint for vector dimension. Routers/providers
may validate that the chosen model emits vectors of this size.