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Merge 121a8584d6 into de692162af

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Habeb Nawatha 2025-08-14 14:18:57 +00:00 • committed by GitHub
commit fc3b103d6c
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2 changed files with 2 additions and 11 deletions
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2
llama_stack/apis/vector_dbs/vector_dbs.py
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@ -90,8 +90,8 @@ class VectorDBs(Protocol):
self,
vector_db_id: str,
embedding_model: str,
provider_id: str,
embedding_dimension: int | None = 384,
provider_id: str | None = None,
vector_db_name: str | None = None,
provider_vector_db_id: str | None = None,
) -> VectorDB:

11
llama_stack/core/routing_tables/vector_dbs.py
View file

@ -47,21 +47,12 @@ class VectorDBsRoutingTable(CommonRoutingTableImpl, VectorDBs):
self,
vector_db_id: str,
embedding_model: str,
provider_id: str,
embedding_dimension: int | None = 384,
provider_id: str | None = None,
provider_vector_db_id: str | None = None,
vector_db_name: str | None = None,
) -> VectorDB:
provider_vector_db_id = provider_vector_db_id or vector_db_id
if provider_id is None:
if len(self.impls_by_provider_id) > 0:
provider_id = list(self.impls_by_provider_id.keys())[0]
if len(self.impls_by_provider_id) > 1:
logger.warning(
f"No provider specified and multiple providers available. Arbitrarily selected the first provider {provider_id}."
)
else:
raise ValueError("No provider available. Please configure a vector_io provider.")
model = await lookup_model(self, embedding_model)
if model is None:
raise ModelNotFoundError(embedding_model)