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chore: standardize model not found error (#2964)

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# What does this PR do?
1. Creates a new `ModelNotFoundError` 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 15:19:53 -04:00 • committed by GitHub
parent 266e2afb9c
commit c5622c79de
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6 changed files with 23 additions and 10 deletions
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llama_stack/distribution/routing_tables/vector_dbs.py
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@ -8,6 +8,7 @@ from typing import Any
from pydantic import TypeAdapter
from llama_stack.apis.common.errors import ModelNotFoundError
from llama_stack.apis.models import ModelType
from llama_stack.apis.resource import ResourceType
from llama_stack.apis.vector_dbs import ListVectorDBsResponse, VectorDB, VectorDBs
@ -63,7 +64,7 @@ class VectorDBsRoutingTable(CommonRoutingTableImpl, VectorDBs):
raise ValueError("No provider available. Please configure a vector_io provider.")
model = await lookup_model(self, embedding_model)
if model is None:
raise ValueError(f"Model {embedding_model} not found")
raise ModelNotFoundError(embedding_model)
if model.model_type != ModelType.embedding:
raise ValueError(f"Model {embedding_model} is not an embedding model")
if "embedding_dimension" not in model.metadata: