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Merge branch 'main' into change-default-embedding-model

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Francisco Arceo 2025-10-14 10:05:04 -04:00 • committed by GitHub
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15 changed files with 473 additions and 231 deletions
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10
llama_stack/providers/utils/memory/openai_vector_store_mixin.py
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@ -353,14 +353,11 @@ class OpenAIVectorStoreMixin(ABC):
provider_vector_db_id = extra.get("provider_vector_db_id")
embedding_model = extra.get("embedding_model")
embedding_dimension = extra.get("embedding_dimension", 768)
provider_id = extra.get("provider_id")
# use provider_id set by router; fallback to provider's own ID when used directly via --stack-config
provider_id = extra.get("provider_id") or getattr(self, "__provider_id__", None)
# Derive the canonical vector_db_id (allow override, else generate)
vector_db_id = provider_vector_db_id or generate_object_id("vector_store", lambda: f"vs_{uuid.uuid4()}")
if provider_id is None:
raise ValueError("Provider ID is required")
if embedding_model is None:
raise ValueError("Embedding model is required")
@ -369,6 +366,9 @@ class OpenAIVectorStoreMixin(ABC):
raise ValueError("Embedding dimension is required")
# Register the VectorDB backing this vector store
if provider_id is None:
raise ValueError("Provider ID is required but was not provided")
vector_db = VectorDB(
identifier=vector_db_id,
embedding_dimension=embedding_dimension,