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

# 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>
This commit is contained in:
Nathan Weinberg 2025-07-30 18:19:16 -04:00 committed by GitHub
parent 272a3e9937
commit cd5c6a2fcd
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
9 changed files with 46 additions and 31 deletions

View file

@ -8,7 +8,7 @@ from typing import Any
from pydantic import TypeAdapter
from llama_stack.apis.common.errors import ModelNotFoundError
from llama_stack.apis.common.errors import ModelNotFoundError, VectorStoreNotFoundError
from llama_stack.apis.models import ModelType
from llama_stack.apis.resource import ResourceType
from llama_stack.apis.vector_dbs import ListVectorDBsResponse, VectorDB, VectorDBs
@ -40,7 +40,7 @@ class VectorDBsRoutingTable(CommonRoutingTableImpl, VectorDBs):
async def get_vector_db(self, vector_db_id: str) -> VectorDB:
vector_db = await self.get_object_by_identifier("vector_db", vector_db_id)
if vector_db is None:
raise ValueError(f"Vector DB '{vector_db_id}' not found")
raise VectorStoreNotFoundError(vector_db_id)
return vector_db
async def register_vector_db(
@ -85,7 +85,7 @@ class VectorDBsRoutingTable(CommonRoutingTableImpl, VectorDBs):
async def unregister_vector_db(self, vector_db_id: str) -> None:
existing_vector_db = await self.get_vector_db(vector_db_id)
if existing_vector_db is None:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
await self.unregister_object(existing_vector_db)
async def openai_retrieve_vector_store(