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
This commit is contained in:
Eduard van Valkenburg
2026-02-12 22:00:32 +01:00
committed by GitHub
Unverified
parent 0c67dbbce5
commit 1e350ea22f
312 changed files with 6669 additions and 11423 deletions
+11 -11
View File
@@ -20,7 +20,7 @@ from agent_framework import (
Agent,
AgentResponse,
AgentResponseUpdate,
AgentThread,
AgentSession,
BaseAgent,
BaseChatClient,
ChatResponse,
@@ -162,19 +162,19 @@ class MockAgent(BaseAgent):
messages: str | Message | list[str] | list[Message] | None = None,
*,
stream: bool = False,
thread: AgentThread | None = None,
session: AgentSession | None = None,
**kwargs: Any,
) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]:
self.call_count += 1
if stream:
return self._run_stream(messages=messages, thread=thread, **kwargs)
return self._run(messages=messages, thread=thread, **kwargs)
return self._run_stream(messages=messages, session=session, **kwargs)
return self._run(messages=messages, session=session, **kwargs)
async def _run(
self,
messages: str | Message | list[str] | list[Message] | None = None,
*,
thread: AgentThread | None = None,
session: AgentSession | None = None,
**kwargs: Any,
) -> AgentResponse:
self.call_count += 1
@@ -184,7 +184,7 @@ class MockAgent(BaseAgent):
self,
messages: str | Message | list[str] | list[Message] | None = None,
*,
thread: AgentThread | None = None,
session: AgentSession | None = None,
**kwargs: Any,
) -> ResponseStream[AgentResponseUpdate, AgentResponse]:
self.call_count += 1
@@ -208,19 +208,19 @@ class MockToolCallingAgent(BaseAgent):
messages: str | Message | list[str] | list[Message] | None = None,
*,
stream: bool = False,
thread: AgentThread | None = None,
session: AgentSession | None = None,
**kwargs: Any,
) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]:
self.call_count += 1
if stream:
return self._run_stream(messages=messages, thread=thread, **kwargs)
return self._run(messages=messages, thread=thread, **kwargs)
return self._run_stream(messages=messages, session=session, **kwargs)
return self._run(messages=messages, session=session, **kwargs)
async def _run(
self,
messages: str | Message | list[str] | list[Message] | None = None,
*,
thread: AgentThread | None = None,
session: AgentSession | None = None,
**kwargs: Any,
) -> AgentResponse:
return AgentResponse(messages=[Message("assistant", ["done"])])
@@ -229,7 +229,7 @@ class MockToolCallingAgent(BaseAgent):
self,
messages: str | Message | list[str] | list[Message] | None = None,
*,
thread: AgentThread | None = None,
session: AgentSession | None = None,
**kwargs: Any,
) -> ResponseStream[AgentResponseUpdate, AgentResponse]:
async def _iter() -> AsyncIterable[AgentResponseUpdate]:
@@ -83,29 +83,29 @@ async def test_delete_conversation():
@pytest.mark.asyncio
async def test_get_thread():
"""Test getting underlying AgentThread."""
async def test_get_session():
"""Test getting AgentSession for execution."""
store = InMemoryConversationStore()
# Create conversation
conversation = store.create_conversation(metadata={"agent_id": "test_agent"})
# Get thread
thread = store.get_thread(conversation.id)
# Get session
session = store.get_session(conversation.id)
assert thread is not None
# AgentThread should have message_store
assert hasattr(thread, "message_store")
assert session is not None
# AgentSession should have session_id
assert hasattr(session, "session_id")
@pytest.mark.asyncio
async def test_get_thread_not_found():
"""Test getting thread for non-existent conversation."""
async def test_get_session_not_found():
"""Test getting session for non-existent conversation."""
store = InMemoryConversationStore()
thread = store.get_thread("conv_nonexistent")
session = store.get_session("conv_nonexistent")
assert thread is None
assert session is None
@pytest.mark.asyncio
@@ -199,21 +199,13 @@ async def test_list_items_pagination():
@pytest.mark.asyncio
async def test_list_items_converts_function_calls():
"""Test that list_items properly converts function calls to ResponseFunctionToolCallItem."""
from agent_framework import ChatMessageStore, Message
from agent_framework import Message
store = InMemoryConversationStore()
# Create conversation
conversation = store.create_conversation(metadata={"agent_id": "test_agent"})
# Get the underlying thread and set up message store
thread = store.get_thread(conversation.id)
assert thread is not None
# Initialize message store if not present
if thread.message_store is None:
thread.message_store = ChatMessageStore()
# Simulate messages from agent execution with function calls
messages = [
Message(role="user", contents=[{"type": "text", "text": "What's the weather in SF?"}]),
@@ -241,8 +233,8 @@ async def test_list_items_converts_function_calls():
Message(role="assistant", contents=[{"type": "text", "text": "The weather is sunny, 65°F"}]),
]
# Add messages to thread
await thread.on_new_messages(messages)
# Add messages to internal storage
store._conversations[conversation.id]["messages"].extend(messages)
# List conversation items
items, has_more = await store.list_items(conversation.id)
@@ -284,20 +276,13 @@ async def test_list_items_converts_function_calls():
@pytest.mark.asyncio
async def test_list_items_handles_images_and_files():
"""Test that list_items properly converts data content (images/files) to OpenAI types."""
from agent_framework import ChatMessageStore, Message
from agent_framework import Message
store = InMemoryConversationStore()
# Create conversation
conversation = store.create_conversation(metadata={"agent_id": "test_agent"})
# Get the underlying thread
thread = store.get_thread(conversation.id)
assert thread is not None
if thread.message_store is None:
thread.message_store = ChatMessageStore()
# Simulate message with image and file
messages = [
Message(
@@ -310,7 +295,8 @@ async def test_list_items_handles_images_and_files():
),
]
await thread.on_new_messages(messages)
# Add messages to internal storage
store._conversations[conversation.id]["messages"].extend(messages)
# List items
items, has_more = await store.list_items(conversation.id)
@@ -74,14 +74,14 @@ async def test_discovery_accepts_agents_with_only_run():
init_file = agent_dir / "__init__.py"
init_file.write_text("""
from agent_framework import AgentResponse, AgentThread, Message, Role, Content
from agent_framework import AgentResponse, AgentSession, Message, Role, Content
class NonStreamingAgent:
id = "non_streaming"
name = "Non-Streaming Agent"
description = "Agent with run() method"
async def run(self, messages=None, *, thread=None, **kwargs):
async def run(self, messages=None, *, session=None, **kwargs):
return AgentResponse(
messages=[Message(
role="assistant",
@@ -90,8 +90,8 @@ class NonStreamingAgent:
response_id="test"
)
def get_new_thread(self, **kwargs):
return AgentThread()
def create_session(self, **kwargs):
return AgentSession()
agent = NonStreamingAgent()
""")
@@ -188,19 +188,19 @@ workflow = WorkflowBuilder(start_executor=executor).build()
agent_dir = temp_path / "my_agent"
agent_dir.mkdir()
(agent_dir / "agent.py").write_text("""
from agent_framework import AgentResponse, AgentThread, Message, Role, TextContent
from agent_framework import AgentResponse, AgentSession, Message, Role, TextContent
class TestAgent:
name = "Test Agent"
async def run(self, messages=None, *, thread=None, **kwargs):
async def run(self, messages=None, *, session=None, **kwargs):
return AgentResponse(
messages=[Message(role="assistant", contents=[Content.from_text(text="test")])],
response_id="test"
)
def get_new_thread(self, **kwargs):
return AgentThread()
def create_session(self, **kwargs):
return AgentSession()
agent = TestAgent()
""")
@@ -320,7 +320,7 @@ class WeatherAgent:
name = "Weather Agent"
description = "Gets weather information"
def run(self, input_str, *, stream: bool = False, thread=None, **kwargs):
def run(self, input_str, *, stream: bool = False, session=None, **kwargs):
return f"Weather in {input_str}"
""")
@@ -538,7 +538,7 @@ def test_extract_workflow_hil_responses_handles_stringified_json():
async def test_executor_handles_streaming_agent():
"""Test executor handles agents with run(stream=True) method."""
from agent_framework import AgentResponse, AgentResponseUpdate, AgentThread, Content, Message
from agent_framework import AgentResponse, AgentResponseUpdate, AgentSession, Content, Message
class StreamingAgent:
"""Agent with run() method supporting stream parameter."""
@@ -547,7 +547,7 @@ async def test_executor_handles_streaming_agent():
name = "Streaming Test Agent"
description = "Test agent with run(stream=True)"
def run(self, messages=None, *, stream=False, thread=None, **kwargs):
def run(self, messages=None, *, stream=False, session=None, **kwargs):
if stream:
# Return an async generator for streaming
return self._stream_impl(messages)
@@ -566,8 +566,8 @@ async def test_executor_handles_streaming_agent():
role="assistant",
)
def get_new_thread(self, **kwargs):
return AgentThread()
def create_session(self, **kwargs):
return AgentSession()
# Create executor and register agent
discovery = EntityDiscovery(None)
@@ -754,7 +754,7 @@ class StreamingAgent:
name = "Streaming Test Agent"
description = "Test agent for streaming"
async def run(self, input_str, *, stream: bool = False, thread=None, **kwargs):
async def run(self, input_str, *, stream: bool = False, session=None, **kwargs):
if stream:
async def _stream():
for i, word in enumerate(f"Processing {input_str}".split()):