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1e350ea22f
* 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
214 lines
8.8 KiB
Python
214 lines
8.8 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Unit tests for DurableAIAgent shim and DurableAgentProvider.
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Focuses on critical message normalization, delegation, and protocol compliance.
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Run with: pytest tests/test_shim.py -v
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"""
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from typing import Any
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from unittest.mock import Mock
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import pytest
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from agent_framework import Message, SupportsAgentRun
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from pydantic import BaseModel
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from agent_framework_durabletask import DurableAgentSession
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from agent_framework_durabletask._executors import DurableAgentExecutor
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from agent_framework_durabletask._models import RunRequest
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from agent_framework_durabletask._shim import DurableAgentProvider, DurableAIAgent
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class ResponseFormatModel(BaseModel):
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"""Test Pydantic model for response format testing."""
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result: str
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@pytest.fixture
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def mock_executor() -> Mock:
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"""Create a mock executor for testing."""
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mock = Mock(spec=DurableAgentExecutor)
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mock.run_durable_agent = Mock(return_value=None)
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mock.get_new_session = Mock(return_value=DurableAgentSession())
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# Mock get_run_request to create actual RunRequest objects
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def create_run_request(
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message: str,
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options: dict[str, Any] | None = None,
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) -> RunRequest:
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import uuid
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opts = dict(options) if options else {}
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response_format = opts.pop("response_format", None)
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enable_tool_calls = opts.pop("enable_tool_calls", True)
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wait_for_response = opts.pop("wait_for_response", True)
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return RunRequest(
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message=message,
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correlation_id=str(uuid.uuid4()),
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response_format=response_format,
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enable_tool_calls=enable_tool_calls,
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wait_for_response=wait_for_response,
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options=opts,
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)
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mock.get_run_request = Mock(side_effect=create_run_request)
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return mock
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@pytest.fixture
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def test_agent(mock_executor: Mock) -> DurableAIAgent[Any]:
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"""Create a test agent with mock executor."""
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return DurableAIAgent(mock_executor, "test_agent")
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class TestDurableAIAgentMessageNormalization:
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"""Test that DurableAIAgent properly normalizes various message input types."""
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def test_run_accepts_string_message(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify run accepts and normalizes string messages."""
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test_agent.run("Hello, world!")
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mock_executor.run_durable_agent.assert_called_once()
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# Verify agent_name and run_request were passed correctly as kwargs
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_, kwargs = mock_executor.run_durable_agent.call_args
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assert kwargs["agent_name"] == "test_agent"
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assert kwargs["run_request"].message == "Hello, world!"
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def test_run_accepts_chat_message(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify run accepts and normalizes Message objects."""
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chat_msg = Message(role="user", text="Test message")
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test_agent.run(chat_msg)
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mock_executor.run_durable_agent.assert_called_once()
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_, kwargs = mock_executor.run_durable_agent.call_args
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assert kwargs["run_request"].message == "Test message"
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def test_run_accepts_list_of_strings(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify run accepts and joins list of strings."""
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test_agent.run(["First message", "Second message"])
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mock_executor.run_durable_agent.assert_called_once()
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_, kwargs = mock_executor.run_durable_agent.call_args
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assert kwargs["run_request"].message == "First message\nSecond message"
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def test_run_accepts_list_of_chat_messages(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify run accepts and joins list of Message objects."""
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messages = [
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Message(role="user", text="Message 1"),
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Message(role="assistant", text="Message 2"),
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]
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test_agent.run(messages)
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mock_executor.run_durable_agent.assert_called_once()
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_, kwargs = mock_executor.run_durable_agent.call_args
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assert kwargs["run_request"].message == "Message 1\nMessage 2"
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def test_run_handles_none_message(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify run handles None message gracefully."""
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test_agent.run(None)
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mock_executor.run_durable_agent.assert_called_once()
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_, kwargs = mock_executor.run_durable_agent.call_args
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assert kwargs["run_request"].message == ""
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def test_run_handles_empty_list(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify run handles empty list gracefully."""
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test_agent.run([])
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mock_executor.run_durable_agent.assert_called_once()
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_, kwargs = mock_executor.run_durable_agent.call_args
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assert kwargs["run_request"].message == ""
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class TestDurableAIAgentParameterFlow:
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"""Test that parameters flow correctly through the shim to executor."""
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def test_run_forwards_session_parameter(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify run forwards session parameter to executor."""
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session = DurableAgentSession(service_session_id="test-session")
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test_agent.run("message", session=session)
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mock_executor.run_durable_agent.assert_called_once()
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_, kwargs = mock_executor.run_durable_agent.call_args
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assert kwargs["session"] == session
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def test_run_forwards_response_format(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify run forwards response_format parameter to executor."""
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test_agent.run("message", options={"response_format": ResponseFormatModel})
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mock_executor.run_durable_agent.assert_called_once()
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_, kwargs = mock_executor.run_durable_agent.call_args
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assert kwargs["run_request"].response_format == ResponseFormatModel
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class TestDurableAISupportsAgentRunCompliance:
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"""Test that DurableAIAgent implements SupportsAgentRun correctly."""
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def test_agent_implements_protocol(self, test_agent: DurableAIAgent[Any]) -> None:
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"""Verify DurableAIAgent implements SupportsAgentRun."""
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assert isinstance(test_agent, SupportsAgentRun)
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def test_agent_has_required_properties(self, test_agent: DurableAIAgent[Any]) -> None:
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"""Verify DurableAIAgent has all required SupportsAgentRun properties."""
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assert hasattr(test_agent, "id")
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assert hasattr(test_agent, "name")
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assert hasattr(test_agent, "display_name")
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assert hasattr(test_agent, "description")
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def test_agent_id_defaults_to_name(self, mock_executor: Mock) -> None:
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"""Verify agent id defaults to name when not provided."""
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agent: DurableAIAgent[Any] = DurableAIAgent(mock_executor, "my_agent")
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assert agent.id == "my_agent"
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assert agent.name == "my_agent"
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def test_agent_id_can_be_customized(self, mock_executor: Mock) -> None:
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"""Verify agent id can be set independently from name."""
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agent: DurableAIAgent[Any] = DurableAIAgent(mock_executor, "my_agent", agent_id="custom-id")
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assert agent.id == "custom-id"
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assert agent.name == "my_agent"
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class TestDurableAIAgentSessionManagement:
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"""Test session creation and management."""
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def test_create_session_delegates_to_executor(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify create_session delegates to executor."""
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mock_session = DurableAgentSession()
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mock_executor.get_new_session.return_value = mock_session
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session = test_agent.create_session()
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mock_executor.get_new_session.assert_called_once_with("test_agent")
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assert session == mock_session
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def test_create_session_forwards_kwargs(self, test_agent: DurableAIAgent[Any], mock_executor: Mock) -> None:
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"""Verify create_session forwards kwargs to executor."""
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mock_session = DurableAgentSession(service_session_id="session-123")
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mock_executor.get_new_session.return_value = mock_session
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test_agent.create_session(service_session_id="session-123")
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mock_executor.get_new_session.assert_called_once()
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_, kwargs = mock_executor.get_new_session.call_args
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assert kwargs["service_session_id"] == "session-123"
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class TestDurableAgentProviderInterface:
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"""Test that DurableAgentProvider defines the correct interface."""
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def test_provider_cannot_be_instantiated(self) -> None:
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"""Verify DurableAgentProvider is abstract and cannot be instantiated."""
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with pytest.raises(TypeError):
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DurableAgentProvider() # type: ignore[abstract]
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def test_provider_defines_get_agent_method(self) -> None:
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"""Verify DurableAgentProvider defines get_agent abstract method."""
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assert hasattr(DurableAgentProvider, "get_agent")
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if __name__ == "__main__":
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pytest.main([__file__, "-v", "--tb=short"])
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