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chore: standardize vector store not found error (#2968)

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# What does this PR do?
1. Creates a new `VectorStoreNotFoundError` class
2. Implements the new class where appropriate 

Relates to #2379

Signed-off-by: Nathan Weinberg <nweinber@redhat.com>
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Nathan Weinberg 2025-07-30 18:19:16 -04:00 • committed by GitHub
parent 272a3e9937
commit cd5c6a2fcd
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9 changed files with 46 additions and 31 deletions
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llama_stack/providers/inline/vector_io/faiss/faiss.py
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@ -15,6 +15,7 @@ import faiss
import numpy as np
from numpy.typing import NDArray
from llama_stack.apis.common.errors import VectorStoreNotFoundError
from llama_stack.apis.files import Files
from llama_stack.apis.inference import Inference, InterleavedContent
from llama_stack.apis.vector_dbs import VectorDB
@ -285,7 +286,7 @@ class FaissVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolPr
) -> QueryChunksResponse:
index = self.cache.get(vector_db_id)
if index is None:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
return await index.query_chunks(query, params)