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* 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
99 lines
3.7 KiB
Python
99 lines
3.7 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Unit tests for DurableAIAgentOrchestrationContext.
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Focuses on critical orchestration workflows: agent retrieval and integration.
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Run with: pytest tests/test_orchestration_context.py -v
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"""
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from unittest.mock import Mock
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import pytest
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from agent_framework import SupportsAgentRun
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from agent_framework_durabletask import DurableAgentSession
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from agent_framework_durabletask._orchestration_context import DurableAIAgentOrchestrationContext
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from agent_framework_durabletask._shim import DurableAIAgent
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@pytest.fixture
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def mock_orchestration_context() -> Mock:
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"""Create a mock OrchestrationContext for testing."""
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return Mock()
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@pytest.fixture
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def agent_context(mock_orchestration_context: Mock) -> DurableAIAgentOrchestrationContext:
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"""Create a DurableAIAgentOrchestrationContext with mock context."""
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return DurableAIAgentOrchestrationContext(mock_orchestration_context)
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class TestDurableAIAgentOrchestrationContextGetAgent:
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"""Test core workflow: retrieving agents from orchestration context."""
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def test_get_agent_returns_durable_agent_shim(self, agent_context: DurableAIAgentOrchestrationContext) -> None:
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"""Verify get_agent returns a DurableAIAgent instance."""
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agent = agent_context.get_agent("assistant")
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assert isinstance(agent, DurableAIAgent)
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assert isinstance(agent, SupportsAgentRun)
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def test_get_agent_shim_has_correct_name(self, agent_context: DurableAIAgentOrchestrationContext) -> None:
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"""Verify retrieved agent has the correct name."""
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agent = agent_context.get_agent("my_agent")
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assert agent.name == "my_agent"
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def test_get_agent_multiple_times_returns_new_instances(
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self, agent_context: DurableAIAgentOrchestrationContext
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) -> None:
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"""Verify multiple get_agent calls return independent instances."""
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agent1 = agent_context.get_agent("assistant")
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agent2 = agent_context.get_agent("assistant")
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assert agent1 is not agent2 # Different object instances
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def test_get_agent_different_agents(self, agent_context: DurableAIAgentOrchestrationContext) -> None:
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"""Verify context can retrieve multiple different agents."""
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agent1 = agent_context.get_agent("agent1")
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agent2 = agent_context.get_agent("agent2")
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assert agent1.name == "agent1"
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assert agent2.name == "agent2"
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class TestDurableAIAgentOrchestrationContextIntegration:
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"""Test integration scenarios between orchestration context and agent shim."""
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def test_orchestration_agent_has_working_run_method(
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self, agent_context: DurableAIAgentOrchestrationContext
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) -> None:
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"""Verify agent from context has callable run method (even if not yet implemented)."""
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agent = agent_context.get_agent("assistant")
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assert hasattr(agent, "run")
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assert callable(agent.run)
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def test_orchestration_agent_can_create_sessions(self, agent_context: DurableAIAgentOrchestrationContext) -> None:
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"""Verify agent from context can create DurableAgentSession instances."""
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agent = agent_context.get_agent("assistant")
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session = agent.create_session()
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assert isinstance(session, DurableAgentSession)
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def test_orchestration_agent_session_with_parameters(
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self, agent_context: DurableAIAgentOrchestrationContext
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) -> None:
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"""Verify agent can create sessions with custom parameters."""
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agent = agent_context.get_agent("assistant")
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session = agent.create_session(service_session_id="orch-session-456")
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assert isinstance(session, DurableAgentSession)
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assert session.service_session_id == "orch-session-456"
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if __name__ == "__main__":
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pytest.main([__file__, "-v", "--tb=short"])
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