mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-08-15 22:18:00 +00:00
68b0071861
# What does this PR do? 1. Creates a new `SessionNotFoundError` class 2. Implements the new class where appropriate Relates to #2379 Signed-off-by: Nathan Weinberg <nweinber@redhat.com>
60 lines
2.5 KiB
Python
60 lines
2.5 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
|
# All rights reserved.
|
|
#
|
|
# This source code is licensed under the terms described in the LICENSE file in
|
|
# the root directory of this source tree.
|
|
|
|
# Custom Llama Stack Exception classes should follow the following schema
|
|
# 1. All classes should inherit from an existing Built-In Exception class: https://docs.python.org/3/library/exceptions.html
|
|
# 2. All classes should have a custom error message with the goal of informing the Llama Stack user specifically
|
|
# 3. All classes should propogate the inherited __init__ function otherwise via 'super().__init__(message)'
|
|
|
|
|
|
class UnsupportedModelError(ValueError):
|
|
"""raised when model is not present in the list of supported models"""
|
|
|
|
def __init__(self, model_name: str, supported_models_list: list[str]):
|
|
message = f"'{model_name}' model is not supported. Supported models are: {', '.join(supported_models_list)}"
|
|
super().__init__(message)
|
|
|
|
|
|
class ModelNotFoundError(ValueError):
|
|
"""raised when Llama Stack cannot find a referenced model"""
|
|
|
|
def __init__(self, model_name: str) -> None:
|
|
message = f"Model '{model_name}' not found. Use client.models.list() to list available models."
|
|
super().__init__(message)
|
|
|
|
|
|
class VectorStoreNotFoundError(ValueError):
|
|
"""raised when Llama Stack cannot find a referenced vector store"""
|
|
|
|
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__(message)
|
|
|
|
|
|
class DatasetNotFoundError(ValueError):
|
|
"""raised when Llama Stack cannot find a referenced dataset"""
|
|
|
|
def __init__(self, dataset_name: str) -> None:
|
|
message = f"Dataset '{dataset_name}' not found. Use client.datasets.list() to list available datasets."
|
|
super().__init__(message)
|
|
|
|
|
|
class ToolGroupNotFoundError(ValueError):
|
|
"""raised when Llama Stack cannot find a referenced tool group"""
|
|
|
|
def __init__(self, toolgroup_name: str) -> None:
|
|
message = (
|
|
f"Tool group '{toolgroup_name}' not found. Use client.toolgroups.list() to list available tool groups."
|
|
)
|
|
super().__init__(message)
|
|
|
|
|
|
class SessionNotFoundError(ValueError):
|
|
"""raised when Llama Stack cannot find a referenced session or access is denied"""
|
|
|
|
def __init__(self, session_name: str) -> None:
|
|
message = f"Session '{session_name}' not found or access denied."
|
|
super().__init__(message)
|