Python: [BREAKING] Redesign Python exception hierarchy (#4082)

* [BREAKING] Redesign Python exception hierarchy

Replace the flat ServiceException family with domain-scoped branches:
- AgentException (with InvalidAuth, InvalidRequest, InvalidResponse, ContentFilter)
- ChatClientException (same consistent suberrors)
- IntegrationException (same + InitializationError)
- WorkflowException (Runner, Convergence, Checkpoint, Validation, Action, Declarative)
- ContentError (AdditionItemMismatch)
- ToolException / ToolExecutionException (unchanged)
- MiddlewareException / MiddlewareTermination (unchanged)

Key changes:
- All Service* exceptions removed (ServiceException, ServiceInitializationError, etc.)
- AgentExecutionException split into AgentInvalidRequest/ResponseException
- AgentInvocationError removed, split into AgentInvalidRequest/ResponseException
- Workflow exceptions moved from _workflows/_exceptions.py into main exceptions.py
- _workflows/__init__.py emptied; main __init__.py imports directly from submodules
- Purview exceptions re-parented under IntegrationException hierarchy
- Init validation errors use built-in ValueError/TypeError instead of custom exceptions
- CODING_STANDARD.md updated with hierarchy design and rationale

Fixes microsoft/agent-framework#3410

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Clarify ToolException vs ToolExecutionException docstrings

ToolException: base class for all tool-related exceptions (preconditions,
connection/init failures).
ToolExecutionException: runtime call failures (tool call failed, reconnect
failed, MCP errors).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix remaining stale imports from agent_framework._workflows

- azurefunctions: _context.py, _app.py, _serialization.py, test_func_utils.py
  used 'from agent_framework._workflows import X' which broke after
  emptying _workflows/__init__.py; changed to direct submodule imports
- azure-ai-search: test still referenced ServiceInitializationError;
  updated to ValueError to match production code

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Eduard van Valkenburg
2026-02-19 18:58:14 +01:00
committed by GitHub
Unverified
parent 7f606a2e3a
commit 5ee06853a1
90 changed files with 642 additions and 718 deletions
@@ -21,7 +21,6 @@ from agent_framework import (
)
from agent_framework._settings import SecretString
from agent_framework.azure import AzureOpenAIAssistantsClient
from agent_framework.exceptions import ServiceInitializationError
skip_if_azure_integration_tests_disabled = pytest.mark.skipif(
os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true"
@@ -120,7 +119,7 @@ def test_azure_assistants_client_init_auto_create_client(
def test_azure_assistants_client_init_validation_fail() -> None:
"""Test AzureOpenAIAssistantsClient initialization with validation failure."""
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
# Force failure by providing invalid deployment name type - this should cause validation to fail
AzureOpenAIAssistantsClient(deployment_name=123, api_key="valid-key") # type: ignore
@@ -128,7 +127,7 @@ def test_azure_assistants_client_init_validation_fail() -> None:
@pytest.mark.parametrize("exclude_list", [["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"]], indirect=True)
def test_azure_assistants_client_init_missing_deployment_name(azure_openai_unit_test_env: dict[str, str]) -> None:
"""Test AzureOpenAIAssistantsClient initialization with missing deployment name."""
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
AzureOpenAIAssistantsClient(api_key=azure_openai_unit_test_env.get("AZURE_OPENAI_API_KEY", "test-key"))
@@ -607,7 +606,7 @@ def test_azure_assistants_client_no_authentication_error() -> None:
}
# Test missing authentication raises error
with pytest.raises(ServiceInitializationError, match="api_key, credential, or a client"):
with pytest.raises(ValueError, match="api_key, credential, or a client"):
AzureOpenAIAssistantsClient(
deployment_name="test-deployment",
endpoint="https://test-endpoint.openai.azure.com",
@@ -28,7 +28,7 @@ from agent_framework import (
)
from agent_framework._telemetry import USER_AGENT_KEY
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.exceptions import ServiceInitializationError, ServiceResponseException
from agent_framework.exceptions import ChatClientException
from agent_framework.openai import (
ContentFilterResultSeverity,
OpenAIContentFilterException,
@@ -93,13 +93,13 @@ def test_init_endpoint(azure_openai_unit_test_env: dict[str, str]) -> None:
@pytest.mark.parametrize("exclude_list", [["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"]], indirect=True)
def test_init_with_empty_deployment_name(azure_openai_unit_test_env: dict[str, str]) -> None:
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
AzureOpenAIChatClient()
@pytest.mark.parametrize("exclude_list", [["AZURE_OPENAI_ENDPOINT", "AZURE_OPENAI_BASE_URL"]], indirect=True)
def test_init_with_empty_endpoint_and_base_url(azure_openai_unit_test_env: dict[str, str]) -> None:
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
AzureOpenAIChatClient()
@@ -554,7 +554,7 @@ async def test_bad_request_non_content_filter(
azure_chat_client = AzureOpenAIChatClient()
with pytest.raises(ServiceResponseException, match="service failed to complete the prompt"):
with pytest.raises(ChatClientException, match="service failed to complete the prompt"):
await azure_chat_client.get_response(
messages=chat_history,
)
@@ -21,7 +21,6 @@ from agent_framework import (
tool,
)
from agent_framework.azure import AzureOpenAIResponsesClient
from agent_framework.exceptions import ServiceInitializationError
skip_if_azure_integration_tests_disabled = pytest.mark.skipif(
os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true"
@@ -81,7 +80,7 @@ def test_init(azure_openai_unit_test_env: dict[str, str]) -> None:
def test_init_validation_fail() -> None:
# Test successful initialization
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
AzureOpenAIResponsesClient(api_key="34523", deployment_name={"test": "dict"}) # type: ignore
@@ -113,7 +112,7 @@ def test_init_with_default_header(azure_openai_unit_test_env: dict[str, str]) ->
@pytest.mark.parametrize("exclude_list", [["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"]], indirect=True)
def test_init_with_empty_model_id(azure_openai_unit_test_env: dict[str, str]) -> None:
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
AzureOpenAIResponsesClient()
@@ -212,7 +211,7 @@ def test_create_client_from_project_with_endpoint() -> None:
def test_create_client_from_project_missing_endpoint() -> None:
"""Test _create_client_from_project raises error when endpoint is missing."""
with pytest.raises(ServiceInitializationError, match="project endpoint is required"):
with pytest.raises(ValueError, match="project endpoint is required"):
AzureOpenAIResponsesClient._create_client_from_project(
project_client=None,
project_endpoint=None,
@@ -222,7 +221,7 @@ def test_create_client_from_project_missing_endpoint() -> None:
def test_create_client_from_project_missing_credential() -> None:
"""Test _create_client_from_project raises error when credential is missing."""
with pytest.raises(ServiceInitializationError, match="credential is required"):
with pytest.raises(ValueError, match="credential is required"):
AzureOpenAIResponsesClient._create_client_from_project(
project_client=None,
project_endpoint="https://test-project.services.ai.azure.com",
@@ -9,7 +9,7 @@ from azure.core.credentials_async import AsyncTokenCredential
from agent_framework.azure._entra_id_authentication import (
resolve_credential_to_token_provider,
)
from agent_framework.exceptions import ServiceInvalidAuthError
from agent_framework.exceptions import ChatClientInvalidAuthException
TOKEN_ENDPOINT = "https://cognitiveservices.azure.com/.default"
@@ -51,11 +51,11 @@ def test_resolve_callable_provider_passthrough() -> None:
def test_resolve_missing_endpoint_raises() -> None:
"""Test that missing token endpoint raises ServiceInvalidAuthError."""
"""Test that missing token endpoint raises ChatClientInvalidAuthException."""
mock_credential = MagicMock(spec=TokenCredential)
with pytest.raises(ServiceInvalidAuthError, match="A token endpoint must be provided"):
with pytest.raises(ChatClientInvalidAuthException, match="A token endpoint must be provided"):
resolve_credential_to_token_provider(mock_credential, "")
with pytest.raises(ServiceInvalidAuthError, match="A token endpoint must be provided"):
with pytest.raises(ChatClientInvalidAuthException, match="A token endpoint must be provided"):
resolve_credential_to_token_provider(mock_credential, None) # type: ignore[arg-type]
@@ -245,9 +245,8 @@ class TestOverrideTypeValidation:
"""Test override type validation."""
def test_invalid_type_raises(self) -> None:
from agent_framework.exceptions import ServiceInitializationError
with pytest.raises(ServiceInitializationError, match="Invalid type for setting 'api_key'"):
with pytest.raises(ValueError, match="Invalid type for setting 'api_key'"):
load_settings(SimpleSettings, env_prefix="TEST_", api_key={"bad": "type"})
def test_valid_types_accepted(self) -> None:
@@ -9,7 +9,6 @@ from openai.types.beta.assistant import Assistant
from pydantic import BaseModel, Field
from agent_framework import Agent, normalize_tools, tool
from agent_framework.exceptions import ServiceInitializationError
from agent_framework.openai import OpenAIAssistantProvider, OpenAIAssistantsClient
from agent_framework.openai._shared import from_assistant_tools, to_assistant_tools
@@ -99,7 +98,6 @@ class WeatherResponse(BaseModel):
# endregion
# region Initialization Tests
@@ -141,7 +139,7 @@ class TestOpenAIAssistantProviderInit:
"responses_model_id": None,
}
with pytest.raises(ServiceInitializationError) as exc_info:
with pytest.raises(ValueError) as exc_info:
OpenAIAssistantProvider()
assert "API key is required" in str(exc_info.value)
@@ -191,7 +189,6 @@ class TestOpenAIAssistantProviderContextManager:
# endregion
# region create_agent Tests
@@ -366,7 +363,6 @@ class TestOpenAIAssistantProviderCreateAgent:
# endregion
# region get_agent Tests
@@ -454,7 +450,6 @@ class TestOpenAIAssistantProviderGetAgent:
# endregion
# region as_agent Tests
@@ -540,7 +535,6 @@ class TestOpenAIAssistantProviderAsAgent:
# endregion
# region Tool Conversion Tests
@@ -643,7 +637,6 @@ class TestToolConversion:
# endregion
# region Tool Validation Tests
@@ -702,7 +695,6 @@ class TestToolValidation:
# endregion
# region Tool Merging Tests
@@ -760,10 +752,8 @@ class TestToolMerging:
# endregion
# region Integration Tests
skip_if_openai_integration_tests_disabled = pytest.mark.skipif(
os.getenv("RUN_INTEGRATION_TESTS", "false").lower() != "true"
or os.getenv("OPENAI_API_KEY", "") in ("", "test-dummy-key"),
@@ -22,7 +22,6 @@ from agent_framework import (
SupportsChatGetResponse,
tool,
)
from agent_framework.exceptions import ServiceInitializationError
from agent_framework.openai import OpenAIAssistantsClient
skip_if_openai_integration_tests_disabled = pytest.mark.skipif(
@@ -145,7 +144,7 @@ def test_init_auto_create_client(
def test_init_validation_fail() -> None:
"""Test OpenAIAssistantsClient initialization with validation failure."""
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
# Force failure by providing invalid model ID type
OpenAIAssistantsClient(model_id=123, api_key="valid-key") # type: ignore
@@ -153,14 +152,14 @@ def test_init_validation_fail() -> None:
@pytest.mark.parametrize("exclude_list", [["OPENAI_CHAT_MODEL_ID"]], indirect=True)
def test_init_missing_model_id(openai_unit_test_env: dict[str, str]) -> None:
"""Test OpenAIAssistantsClient initialization with missing model ID."""
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
OpenAIAssistantsClient(api_key=openai_unit_test_env.get("OPENAI_API_KEY", "test-key"))
@pytest.mark.parametrize("exclude_list", [["OPENAI_API_KEY"]], indirect=True)
def test_init_missing_api_key(openai_unit_test_env: dict[str, str]) -> None:
"""Test OpenAIAssistantsClient initialization with missing API key."""
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
OpenAIAssistantsClient(model_id="gpt-4")
@@ -19,7 +19,7 @@ from agent_framework import (
SupportsChatGetResponse,
tool,
)
from agent_framework.exceptions import ServiceInitializationError, ServiceResponseException
from agent_framework.exceptions import ChatClientException
from agent_framework.openai import OpenAIChatClient
from agent_framework.openai._exceptions import OpenAIContentFilterException
@@ -42,7 +42,7 @@ def test_init(openai_unit_test_env: dict[str, str]) -> None:
def test_init_validation_fail() -> None:
# Test successful initialization
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
OpenAIChatClient(api_key="34523", model_id={"test": "dict"}) # type: ignore
@@ -96,7 +96,7 @@ def test_init_base_url_from_settings_env() -> None:
@pytest.mark.parametrize("exclude_list", [["OPENAI_CHAT_MODEL_ID"]], indirect=True)
def test_init_with_empty_model_id(openai_unit_test_env: dict[str, str]) -> None:
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
OpenAIChatClient()
@@ -104,7 +104,7 @@ def test_init_with_empty_model_id(openai_unit_test_env: dict[str, str]) -> None:
def test_init_with_empty_api_key(openai_unit_test_env: dict[str, str]) -> None:
model_id = "test_model_id"
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
OpenAIChatClient(
model_id=model_id,
)
@@ -235,7 +235,7 @@ async def test_exception_message_includes_original_error_details() -> None:
with (
patch.object(client.client.chat.completions, "create", side_effect=mock_error),
pytest.raises(ServiceResponseException) as exc_info,
pytest.raises(ChatClientException) as exc_info,
):
await client._inner_get_response(messages=messages, options={}) # type: ignore
@@ -779,11 +779,11 @@ def test_prepare_options_without_model_id(openai_unit_test_env: dict[str, str])
def test_prepare_options_without_messages(openai_unit_test_env: dict[str, str]) -> None:
"""Test that prepare_options raises error when messages are missing."""
from agent_framework.exceptions import ServiceInvalidRequestError
from agent_framework.exceptions import ChatClientInvalidRequestException
client = OpenAIChatClient()
with pytest.raises(ServiceInvalidRequestError, match="Messages are required"):
with pytest.raises(ChatClientInvalidRequestException, match="Messages are required"):
client._prepare_options([], {})
@@ -932,7 +932,7 @@ async def test_streaming_exception_handling(openai_unit_test_env: dict[str, str]
with (
patch.object(client.client.chat.completions, "create", side_effect=mock_error),
pytest.raises(ServiceResponseException),
pytest.raises(ChatClientException),
):
async for _ in client._inner_get_response(messages=messages, stream=True, options={}): # type: ignore
pass
@@ -15,9 +15,7 @@ from openai.types.chat.chat_completion_message import ChatCompletionMessage
from pydantic import BaseModel
from agent_framework import ChatResponseUpdate, Message
from agent_framework.exceptions import (
ServiceResponseException,
)
from agent_framework.exceptions import ChatClientException
from agent_framework.openai import OpenAIChatClient
@@ -182,7 +180,7 @@ async def test_cmc_general_exception(
chat_history.append(Message(role="user", text="hello world"))
openai_chat_completion = OpenAIChatClient()
with pytest.raises(ServiceResponseException):
with pytest.raises(ChatClientException):
await openai_chat_completion.get_response(
messages=chat_history,
)
@@ -35,11 +35,7 @@ from agent_framework import (
SupportsChatGetResponse,
tool,
)
from agent_framework.exceptions import (
ServiceInitializationError,
ServiceInvalidRequestError,
ServiceResponseException,
)
from agent_framework.exceptions import ChatClientException, ChatClientInvalidRequestException
from agent_framework.openai import OpenAIResponsesClient
from agent_framework.openai._exceptions import OpenAIContentFilterException
@@ -106,7 +102,7 @@ def test_init(openai_unit_test_env: dict[str, str]) -> None:
def test_init_validation_fail() -> None:
# Test successful initialization
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
OpenAIResponsesClient(api_key="34523", model_id={"test": "dict"}) # type: ignore
@@ -138,7 +134,7 @@ def test_init_with_default_header(openai_unit_test_env: dict[str, str]) -> None:
@pytest.mark.parametrize("exclude_list", [["OPENAI_RESPONSES_MODEL_ID"]], indirect=True)
def test_init_with_empty_model_id(openai_unit_test_env: dict[str, str]) -> None:
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
OpenAIResponsesClient()
@@ -146,7 +142,7 @@ def test_init_with_empty_model_id(openai_unit_test_env: dict[str, str]) -> None:
def test_init_with_empty_api_key(openai_unit_test_env: dict[str, str]) -> None:
model_id = "test_model_id"
with pytest.raises(ServiceInitializationError):
with pytest.raises(ValueError):
OpenAIResponsesClient(
model_id=model_id,
)
@@ -192,8 +188,8 @@ async def test_get_response_with_invalid_input() -> None:
client = OpenAIResponsesClient(model_id="invalid-model", api_key="test-key")
# Test with empty messages which should trigger ServiceInvalidRequestError
with pytest.raises(ServiceInvalidRequestError, match="Messages are required"):
# Test with empty messages which should trigger ChatClientInvalidRequestException
with pytest.raises(ChatClientInvalidRequestException, match="Messages are required"):
await client.get_response(messages=[])
@@ -201,7 +197,7 @@ async def test_get_response_with_all_parameters() -> None:
"""Test get_response with all possible parameters to cover parameter handling logic."""
client = OpenAIResponsesClient(model_id="test-model", api_key="test-key")
# Test with comprehensive parameter set - should fail due to invalid API key
with pytest.raises(ServiceResponseException):
with pytest.raises(ChatClientException):
await client.get_response(
messages=[Message(role="user", text="Test message")],
options={
@@ -244,7 +240,7 @@ async def test_web_search_tool_with_location() -> None:
)
# Should raise an authentication error due to invalid API key
with pytest.raises(ServiceResponseException):
with pytest.raises(ChatClientException):
await client.get_response(
messages=[Message(role="user", text="What's the weather?")],
options={"tools": [web_search_tool], "tool_choice": "auto"},
@@ -258,7 +254,7 @@ async def test_code_interpreter_tool_variations() -> None:
# Test code interpreter using static method
code_tool = OpenAIResponsesClient.get_code_interpreter_tool()
with pytest.raises(ServiceResponseException):
with pytest.raises(ChatClientException):
await client.get_response(
messages=[Message("user", ["Run some code"])],
options={"tools": [code_tool]},
@@ -267,7 +263,7 @@ async def test_code_interpreter_tool_variations() -> None:
# Test code interpreter with files using static method
code_tool_with_files = OpenAIResponsesClient.get_code_interpreter_tool(file_ids=["file1", "file2"])
with pytest.raises(ServiceResponseException):
with pytest.raises(ChatClientException):
await client.get_response(
messages=[Message(role="user", text="Process these files")],
options={"tools": [code_tool_with_files]},
@@ -303,7 +299,7 @@ async def test_hosted_file_search_tool_validation() -> None:
file_search_tool = OpenAIResponsesClient.get_file_search_tool(vector_store_ids=["vs_123"])
# Test using file search tool - may raise various exceptions depending on API response
with pytest.raises((ValueError, ServiceInvalidRequestError, ServiceResponseException)):
with pytest.raises((ValueError, ChatClientInvalidRequestException, ChatClientException)):
await client.get_response(
messages=[Message("user", ["Test"])],
options={"tools": [file_search_tool]},
@@ -331,7 +327,7 @@ async def test_chat_message_parsing_with_function_calls() -> None:
]
# This should exercise the message parsing logic - will fail due to invalid API key
with pytest.raises(ServiceResponseException):
with pytest.raises(ChatClientException):
await client.get_response(messages=messages)
@@ -401,7 +397,7 @@ async def test_bad_request_error_non_content_filter() -> None:
mock_error.code = "invalid_request"
with patch.object(client.client.responses, "parse", side_effect=mock_error):
with pytest.raises(ServiceResponseException) as exc_info:
with pytest.raises(ChatClientException) as exc_info:
await client.get_response(
messages=[Message(role="user", text="Test message")],
options={"response_format": OutputStruct},
@@ -996,7 +992,7 @@ def test_response_format_with_conflicting_definitions() -> None:
response_format = {"type": "json_schema", "format": {"type": "json_schema", "name": "Test", "schema": {}}}
text_config = {"format": {"type": "json_object"}}
with pytest.raises(ServiceInvalidRequestError, match="Conflicting response_format definitions"):
with pytest.raises(ChatClientInvalidRequestException, match="Conflicting response_format definitions"):
client._prepare_response_and_text_format(response_format=response_format, text_config=text_config)
@@ -1092,7 +1088,7 @@ def test_response_format_json_schema_missing_schema() -> None:
response_format = {"type": "json_schema", "json_schema": {"name": "NoSchema"}}
with pytest.raises(ServiceInvalidRequestError, match="json_schema response_format requires a schema"):
with pytest.raises(ChatClientInvalidRequestException, match="json_schema response_format requires a schema"):
client._prepare_response_and_text_format(response_format=response_format, text_config=None)
@@ -1102,7 +1098,7 @@ def test_response_format_unsupported_type() -> None:
response_format = {"type": "unsupported_format"}
with pytest.raises(ServiceInvalidRequestError, match="Unsupported response_format"):
with pytest.raises(ChatClientInvalidRequestException, match="Unsupported response_format"):
client._prepare_response_and_text_format(response_format=response_format, text_config=None)
@@ -1112,7 +1108,7 @@ def test_response_format_invalid_type() -> None:
response_format = "invalid" # Not a Pydantic model or mapping
with pytest.raises(ServiceInvalidRequestError, match="response_format must be a Pydantic model or mapping"):
with pytest.raises(ChatClientInvalidRequestException, match="response_format must be a Pydantic model or mapping"):
client._prepare_response_and_text_format(response_format=response_format, text_config=None) # type: ignore
@@ -1689,7 +1685,7 @@ def test_streaming_annotation_added_with_unknown_type() -> None:
async def test_service_response_exception_includes_original_error_details() -> None:
"""Test that ServiceResponseException messages include original error details in the new format."""
"""Test that ChatClientException messages include original error details in the new format."""
client = OpenAIResponsesClient(model_id="test-model", api_key="test-key")
messages = [Message(role="user", text="test message")]
@@ -1704,7 +1700,7 @@ async def test_service_response_exception_includes_original_error_details() -> N
with (
patch.object(client.client.responses, "parse", side_effect=mock_error),
pytest.raises(ServiceResponseException) as exc_info,
pytest.raises(ChatClientException) as exc_info,
):
await client.get_response(messages=messages, options={"response_format": OutputStruct})
@@ -1719,7 +1715,7 @@ async def test_get_response_streaming_with_response_format() -> None:
messages = [Message(role="user", text="Test streaming with format")]
# It will fail due to invalid API key, but exercises the code path
with pytest.raises(ServiceResponseException):
with pytest.raises(ChatClientException):
async def run_streaming():
async for _ in client.get_response(
@@ -6,9 +6,9 @@ from typing import Any, cast
import pytest
from agent_framework import WorkflowCheckpointException
from agent_framework._workflows._checkpoint_encoding import (
_TYPE_MARKER, # type: ignore
CheckpointDecodingError,
decode_checkpoint_value,
encode_checkpoint_value,
)
@@ -178,13 +178,13 @@ def test_decode_plain_list() -> None:
def test_decode_raises_on_type_mismatch() -> None:
"""Test that decoding raises CheckpointDecodingError when type doesn't match."""
"""Test that decoding raises WorkflowCheckpointException when type doesn't match."""
# Encode a SampleRequest but tamper with the type marker
encoded = encode_checkpoint_value(SampleRequest(request_id="r1", prompt="p1"))
assert isinstance(encoded, dict)
encoded[_TYPE_MARKER] = "nonexistent.module:FakeClass"
with pytest.raises(CheckpointDecodingError, match="Type mismatch"):
with pytest.raises(WorkflowCheckpointException, match="Type mismatch"):
decode_checkpoint_value(encoded)