refactor: introduce common 'ResourceNotFoundError' exception (#3032)

# What does this PR do?
1. Introduce new base custom exception class `ResourceNotFoundError`
2. All other "not found" exception classes now inherit from
`ResourceNotFoundError`

Closes #3030

Signed-off-by: Nathan Weinberg <nweinber@redhat.com>
This commit is contained in:
Nathan Weinberg 2025-08-06 13:22:55 -04:00 committed by GitHub
parent dfce05d0c5
commit e9fced773a
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2 changed files with 33 additions and 16 deletions

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@ -10,6 +10,16 @@
# 3. All classes should propogate the inherited __init__ function otherwise via 'super().__init__(message)' # 3. All classes should propogate the inherited __init__ function otherwise via 'super().__init__(message)'
class ResourceNotFoundError(ValueError):
"""generic exception for a missing Llama Stack resource"""
def __init__(self, resource_name: str, resource_type: str, client_list: str) -> None:
message = (
f"{resource_type} '{resource_name}' not found. Use '{client_list}' to list available {resource_type}s."
)
super().__init__(message)
class UnsupportedModelError(ValueError): class UnsupportedModelError(ValueError):
"""raised when model is not present in the list of supported models""" """raised when model is not present in the list of supported models"""
@ -18,38 +28,32 @@ class UnsupportedModelError(ValueError):
super().__init__(message) super().__init__(message)
class ModelNotFoundError(ValueError): class ModelNotFoundError(ResourceNotFoundError):
"""raised when Llama Stack cannot find a referenced model""" """raised when Llama Stack cannot find a referenced model"""
def __init__(self, model_name: str) -> None: def __init__(self, model_name: str) -> None:
message = f"Model '{model_name}' not found. Use client.models.list() to list available models." super().__init__(model_name, "Model", "client.models.list()")
super().__init__(message)
class VectorStoreNotFoundError(ValueError): class VectorStoreNotFoundError(ResourceNotFoundError):
"""raised when Llama Stack cannot find a referenced vector store""" """raised when Llama Stack cannot find a referenced vector store"""
def __init__(self, vector_store_name: str) -> None: def __init__(self, vector_store_name: str) -> None:
message = f"Vector store '{vector_store_name}' not found. Use client.vector_dbs.list() to list available vector stores." super().__init__(vector_store_name, "Vector Store", "client.vector_dbs.list()")
super().__init__(message)
class DatasetNotFoundError(ValueError): class DatasetNotFoundError(ResourceNotFoundError):
"""raised when Llama Stack cannot find a referenced dataset""" """raised when Llama Stack cannot find a referenced dataset"""
def __init__(self, dataset_name: str) -> None: def __init__(self, dataset_name: str) -> None:
message = f"Dataset '{dataset_name}' not found. Use client.datasets.list() to list available datasets." super().__init__(dataset_name, "Dataset", "client.datasets.list()")
super().__init__(message)
class ToolGroupNotFoundError(ValueError): class ToolGroupNotFoundError(ResourceNotFoundError):
"""raised when Llama Stack cannot find a referenced tool group""" """raised when Llama Stack cannot find a referenced tool group"""
def __init__(self, toolgroup_name: str) -> None: def __init__(self, toolgroup_name: str) -> None:
message = ( super().__init__(toolgroup_name, "Tool Group", "client.toolgroups.list()")
f"Tool group '{toolgroup_name}' not found. Use client.toolgroups.list() to list available tool groups."
)
super().__init__(message)
class SessionNotFoundError(ValueError): class SessionNotFoundError(ValueError):

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@ -4,9 +4,12 @@
# This source code is licensed under the terms described in the LICENSE file in # This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree. # the root directory of this source tree.
import re
import pytest import pytest
from llama_stack import LlamaStackAsLibraryClient from llama_stack import LlamaStackAsLibraryClient
from llama_stack.apis.common.errors import ToolGroupNotFoundError
from tests.common.mcp import MCP_TOOLGROUP_ID, make_mcp_server from tests.common.mcp import MCP_TOOLGROUP_ID, make_mcp_server
@ -48,8 +51,18 @@ def test_register_and_unregister_toolgroup(llama_stack_client):
llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id) llama_stack_client.toolgroups.unregister(toolgroup_id=test_toolgroup_id)
# Verify it is unregistered # Verify it is unregistered
with pytest.raises(Exception, match=f"Tool group '{test_toolgroup_id}' not found"): with pytest.raises(
ToolGroupNotFoundError,
match=re.escape(
f"Tool Group '{test_toolgroup_id}' not found. Use 'client.toolgroups.list()' to list available Tool Groups."
),
):
llama_stack_client.toolgroups.get(toolgroup_id=test_toolgroup_id) llama_stack_client.toolgroups.get(toolgroup_id=test_toolgroup_id)
with pytest.raises(Exception, match=f"Tool group '{test_toolgroup_id}' not found"): with pytest.raises(
ToolGroupNotFoundError,
match=re.escape(
f"Tool Group '{test_toolgroup_id}' not found. Use 'client.toolgroups.list()' to list available Tool Groups."
),
):
llama_stack_client.tools.list(toolgroup_id=test_toolgroup_id) llama_stack_client.tools.list(toolgroup_id=test_toolgroup_id)