Files
agent-framework/python/packages/durabletask/tests/test_shim.py
T
Eduard van Valkenburg 1e350ea22f Python: [BREAKING] PR2 — Wire context provider pipeline, remove old types, update all consumers (#3850)
* PR2: Wire context provider pipeline and update all internal consumers

- Replace AgentThread with AgentSession across all packages
- Replace ContextProvider with BaseContextProvider across all packages
- Replace context_provider param with context_providers (Sequence)
- Replace thread= with session= in run() signatures
- Replace get_new_thread() with create_session()
- Add get_session(service_session_id) to agent interface
- DurableAgentThread -> DurableAgentSession
- Remove _notify_thread_of_new_messages from WorkflowAgent
- Wire before_run/after_run context provider pipeline in RawAgent
- Auto-inject InMemoryHistoryProvider when no providers configured

* fix: update all tests for context provider pipeline, fix lazy-loaders, remove old test files

* refactor: update all sample files for context provider pipeline (AgentThread→AgentSession, ContextProvider→BaseContextProvider)

* fix: update remaining ag-ui references (client docstring, getting_started sample)

* fix: make get_session service_session_id keyword-only to avoid confusion with session_id

* refactor: rename _RunContext.thread_messages to session_messages

* refactor: remove _threads.py, _memory.py, and old provider files; migrate devui to use plain message lists

* rename: remove _new_ prefix from test files

* refactor: rewrite SlidingWindowChatMessageStore as SlidingWindowHistoryProvider(InMemoryHistoryProvider)

* fix: read full history from session state directly instead of reaching into provider internals

* fix: update stale .pyi stubs, sample imports, and README references for new provider types

* fix: remove stale message_store, _notify_thread_of_new_messages, and session_id.key references in samples

* refactor: merge context_providers and sessions sample folders into sessions, remove aggregate_context_provider

* refactor: UserInfoMemory stores state in session.state instead of instance attributes

* feat: add Pydantic BaseModel support to session state serialization

Pydantic models stored in session.state are now automatically serialized
via model_dump() and restored via model_validate() during to_dict()/from_dict()
round-trips. Models are auto-registered on first serialization; use
register_state_type() for cold-start deserialization.

Also export register_state_type as a public API.

* fix mem0

* Update sample README links and descriptions for session terminology

- Replace 'thread' with 'session' in sample descriptions across all READMEs
- Update file links for renamed samples (mem0_sessions, redis_sessions, etc.)
- Fix Threads section → Sessions section in main samples/README.md
- Update tools, middleware, workflows, durabletask, azure_functions READMEs
- Update architecture diagrams in concepts/tools/README.md
- Update migration guides (autogen, semantic-kernel)

* Fix broken Redis README link to renamed sample

* Fix Mem0 OSS client search: pass scoping params as direct kwargs

AsyncMemory (OSS) expects user_id/agent_id/run_id as direct kwargs,
while AsyncMemoryClient (Platform) expects them in a filters dict.
Adds tests for both client types.

Port of fix from #3844 to new Mem0ContextProvider.

* Fix rebase issues: restore missing _conversation_state.py and checkpoint decode logic

- Add back _conversation_state.py (encode/decode_chat_messages) lost in rebase
- Fix on_checkpoint_restore to decode cache/conversation with decode_chat_messages
- Fix on_checkpoint_restore to use decode_checkpoint_value for pending requests
- Add tests/workflow/__init__.py for relative import support
- Fix test_agent_executor checkpoint selection (checkpoints[1] not superstep)

* Add STORES_BY_DEFAULT ClassVar to skip redundant InMemoryHistoryProvider injection

Chat clients that store history server-side by default (OpenAI Responses API,
Azure AI Agent) now declare STORES_BY_DEFAULT = True. The agent checks this
during auto-injection and skips InMemoryHistoryProvider unless the user
explicitly sets store=False.

* Fix broken markdown links in azure_ai and redis READMEs

* Fix getting-started samples to use session API instead of removed thread/ContextProvider API

* updates to workflow as agent

* fix group chat import

* Rename Thread→Session throughout, fix service_session_id propagation, remove stale AGUIThread

- Fix: Propagate conversation_id from ChatResponse back to session.service_session_id
  in both streaming and non-streaming paths in _agents.py
- Rename AgentThreadException → AgentSessionException
- Remove stale AGUIThread from ag_ui lazy-loader
- Rename use_service_thread → use_service_session in ag-ui package
- Rename test functions from *_thread_* to *_session_*
- Rename sample files from *_thread* to *_session*
- Update docstrings and comments: thread → session
- Update _mcp.py kwargs filter: add 'session' alongside 'thread'
- Fix ContinuationToken docstring example: thread=thread → session=session
- Fix _clients.py docstring: 'Agent threads' → 'Agent sessions'

* Fix broken markdown links after thread→session file renames

* fix azure ai test
2026-02-12 21:00:32 +00:00

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8.8 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
"""Unit tests for DurableAIAgent shim and DurableAgentProvider.
Focuses on critical message normalization, delegation, and protocol compliance.
Run with: pytest tests/test_shim.py -v
"""
from typing import Any
from unittest.mock import Mock
import pytest
from agent_framework import Message, SupportsAgentRun
from pydantic import BaseModel
from agent_framework_durabletask import DurableAgentSession
from agent_framework_durabletask._executors import DurableAgentExecutor
from agent_framework_durabletask._models import RunRequest
from agent_framework_durabletask._shim import DurableAgentProvider, DurableAIAgent
class ResponseFormatModel(BaseModel):
"""Test Pydantic model for response format testing."""
result: str
@pytest.fixture
def mock_executor() -> Mock:
"""Create a mock executor for testing."""
mock = Mock(spec=DurableAgentExecutor)
mock.run_durable_agent = Mock(return_value=None)
mock.get_new_session = Mock(return_value=DurableAgentSession())
# Mock get_run_request to create actual RunRequest objects
def create_run_request(
message: str,
options: dict[str, Any] | None = None,
) -> RunRequest:
import uuid
opts = dict(options) if options else {}
response_format = opts.pop("response_format", None)
enable_tool_calls = opts.pop("enable_tool_calls", True)
wait_for_response = opts.pop("wait_for_response", True)
return RunRequest(
message=message,
correlation_id=str(uuid.uuid4()),
response_format=response_format,
enable_tool_calls=enable_tool_calls,
wait_for_response=wait_for_response,
options=opts,
)
mock.get_run_request = Mock(side_effect=create_run_request)
return mock
@pytest.fixture
def test_agent(mock_executor: Mock) -> DurableAIAgent[Any]:
"""Create a test agent with mock executor."""
return DurableAIAgent(mock_executor, "test_agent")
class TestDurableAIAgentMessageNormalization:
"""Test that DurableAIAgent properly normalizes various message input types."""
def test_run_accepts_string_message(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify run accepts and normalizes string messages."""
test_agent.run("Hello, world!")
mock_executor.run_durable_agent.assert_called_once()
# Verify agent_name and run_request were passed correctly as kwargs
_, kwargs = mock_executor.run_durable_agent.call_args
assert kwargs["agent_name"] == "test_agent"
assert kwargs["run_request"].message == "Hello, world!"
def test_run_accepts_chat_message(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify run accepts and normalizes Message objects."""
chat_msg = Message(role="user", text="Test message")
test_agent.run(chat_msg)
mock_executor.run_durable_agent.assert_called_once()
_, kwargs = mock_executor.run_durable_agent.call_args
assert kwargs["run_request"].message == "Test message"
def test_run_accepts_list_of_strings(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify run accepts and joins list of strings."""
test_agent.run(["First message", "Second message"])
mock_executor.run_durable_agent.assert_called_once()
_, kwargs = mock_executor.run_durable_agent.call_args
assert kwargs["run_request"].message == "First message\nSecond message"
def test_run_accepts_list_of_chat_messages(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify run accepts and joins list of Message objects."""
messages = [
Message(role="user", text="Message 1"),
Message(role="assistant", text="Message 2"),
]
test_agent.run(messages)
mock_executor.run_durable_agent.assert_called_once()
_, kwargs = mock_executor.run_durable_agent.call_args
assert kwargs["run_request"].message == "Message 1\nMessage 2"
def test_run_handles_none_message(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify run handles None message gracefully."""
test_agent.run(None)
mock_executor.run_durable_agent.assert_called_once()
_, kwargs = mock_executor.run_durable_agent.call_args
assert kwargs["run_request"].message == ""
def test_run_handles_empty_list(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify run handles empty list gracefully."""
test_agent.run([])
mock_executor.run_durable_agent.assert_called_once()
_, kwargs = mock_executor.run_durable_agent.call_args
assert kwargs["run_request"].message == ""
class TestDurableAIAgentParameterFlow:
"""Test that parameters flow correctly through the shim to executor."""
def test_run_forwards_session_parameter(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify run forwards session parameter to executor."""
session = DurableAgentSession(service_session_id="test-session")
test_agent.run("message", session=session)
mock_executor.run_durable_agent.assert_called_once()
_, kwargs = mock_executor.run_durable_agent.call_args
assert kwargs["session"] == session
def test_run_forwards_response_format(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify run forwards response_format parameter to executor."""
test_agent.run("message", options={"response_format": ResponseFormatModel})
mock_executor.run_durable_agent.assert_called_once()
_, kwargs = mock_executor.run_durable_agent.call_args
assert kwargs["run_request"].response_format == ResponseFormatModel
class TestDurableAISupportsAgentRunCompliance:
"""Test that DurableAIAgent implements SupportsAgentRun correctly."""
def test_agent_implements_protocol(self, test_agent: DurableAIAgent[Any]) -> None:
"""Verify DurableAIAgent implements SupportsAgentRun."""
assert isinstance(test_agent, SupportsAgentRun)
def test_agent_has_required_properties(self, test_agent: DurableAIAgent[Any]) -> None:
"""Verify DurableAIAgent has all required SupportsAgentRun properties."""
assert hasattr(test_agent, "id")
assert hasattr(test_agent, "name")
assert hasattr(test_agent, "display_name")
assert hasattr(test_agent, "description")
def test_agent_id_defaults_to_name(self, mock_executor: Mock) -> None:
"""Verify agent id defaults to name when not provided."""
agent: DurableAIAgent[Any] = DurableAIAgent(mock_executor, "my_agent")
assert agent.id == "my_agent"
assert agent.name == "my_agent"
def test_agent_id_can_be_customized(self, mock_executor: Mock) -> None:
"""Verify agent id can be set independently from name."""
agent: DurableAIAgent[Any] = DurableAIAgent(mock_executor, "my_agent", agent_id="custom-id")
assert agent.id == "custom-id"
assert agent.name == "my_agent"
class TestDurableAIAgentSessionManagement:
"""Test session creation and management."""
def test_create_session_delegates_to_executor(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify create_session delegates to executor."""
mock_session = DurableAgentSession()
mock_executor.get_new_session.return_value = mock_session
session = test_agent.create_session()
mock_executor.get_new_session.assert_called_once_with("test_agent")
assert session == mock_session
def test_create_session_forwards_kwargs(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
"""Verify create_session forwards kwargs to executor."""
mock_session = DurableAgentSession(service_session_id="session-123")
mock_executor.get_new_session.return_value = mock_session
test_agent.create_session(service_session_id="session-123")
mock_executor.get_new_session.assert_called_once()
_, kwargs = mock_executor.get_new_session.call_args
assert kwargs["service_session_id"] == "session-123"
class TestDurableAgentProviderInterface:
"""Test that DurableAgentProvider defines the correct interface."""
def test_provider_cannot_be_instantiated(self) -> None:
"""Verify DurableAgentProvider is abstract and cannot be instantiated."""
with pytest.raises(TypeError):
DurableAgentProvider() # type: ignore[abstract]
def test_provider_defines_get_agent_method(self) -> None:
"""Verify DurableAgentProvider defines get_agent abstract method."""
assert hasattr(DurableAgentProvider, "get_agent")
if __name__ == "__main__":
pytest.main([__file__, "-v", "--tb=short"])