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Expand orchestration gate coverage to resume and regenerate flows.
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parent
52593d88db
commit
0f40279d95
3 changed files with 128 additions and 8 deletions
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@ -101,8 +101,38 @@ async def stream_resume(
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filesystem_selection: FilesystemSelection | None = None,
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request_id: str | None = None,
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disabled_tools: list[str] | None = None,
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orchestration_input: StreamExecutionInput | None = None,
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) -> AsyncGenerator[str, None]:
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"""Resume an interrupted chat turn through the current production pipeline."""
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if orchestration_input is not None:
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result = StreamOutput(
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request_id=request_id,
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turn_id=f"{chat_id}:orchestrator-resume",
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filesystem_mode=(
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filesystem_selection.mode.value if filesystem_selection else "cloud"
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),
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client_platform=(
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filesystem_selection.client_platform.value
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if filesystem_selection
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else "web"
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),
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)
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async for frame in stream_agent_events(
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agent=orchestration_input.agent,
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config=orchestration_input.config,
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input_data=orchestration_input.input_data,
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streaming_service=orchestration_input.streaming_service,
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result=result,
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step_prefix=orchestration_input.step_prefix,
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initial_step_id=orchestration_input.initial_step_id,
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initial_step_title=orchestration_input.initial_step_title,
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initial_step_items=orchestration_input.initial_step_items,
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content_builder=orchestration_input.content_builder,
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runtime_context=orchestration_input.runtime_context,
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):
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yield frame
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return
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async for chunk in stream_resume_chat(
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chat_id=chat_id,
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search_space_id=search_space_id,
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@ -136,8 +166,38 @@ async def stream_regenerate(
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request_id: str | None = None,
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user_image_data_urls: list[str] | None = None,
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flow: Literal["new", "regenerate"] = "regenerate",
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orchestration_input: StreamExecutionInput | None = None,
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) -> AsyncGenerator[str, None]:
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"""Regenerate an assistant turn through the current production pipeline."""
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if orchestration_input is not None:
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result = StreamOutput(
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request_id=request_id,
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turn_id=f"{chat_id}:orchestrator-regenerate",
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filesystem_mode=(
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filesystem_selection.mode.value if filesystem_selection else "cloud"
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),
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client_platform=(
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filesystem_selection.client_platform.value
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if filesystem_selection
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else "web"
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),
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)
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async for frame in stream_agent_events(
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agent=orchestration_input.agent,
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config=orchestration_input.config,
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input_data=orchestration_input.input_data,
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streaming_service=orchestration_input.streaming_service,
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result=result,
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step_prefix=orchestration_input.step_prefix,
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initial_step_id=orchestration_input.initial_step_id,
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initial_step_title=orchestration_input.initial_step_title,
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initial_step_items=orchestration_input.initial_step_items,
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content_builder=orchestration_input.content_builder,
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runtime_context=orchestration_input.runtime_context,
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):
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yield frame
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return
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async for chunk in stream_new_chat(
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user_query=user_query,
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search_space_id=search_space_id,
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@ -84,15 +84,20 @@ async def test_stream_agent_events_emits_text_lifecycle_and_updates_result() ->
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]
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assert result.accumulated_text == "Hello world"
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assert result.agent_called_update_memory is False
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assert agent.calls[0][1]["version"] == "v2"
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async def test_stream_agent_events_passes_runtime_context_to_agent() -> None:
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service = _StreamingService()
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agent = _Agent([{"event": "on_chat_model_stream", "data": {"chunk": _Chunk("x")}}])
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class _ContextAwareAgent:
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async def astream_events(self, input_data: Any, **kwargs: Any):
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del input_data
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text = "ctx-ok" if kwargs.get("context") else "ctx-missing"
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yield {"event": "on_chat_model_stream", "data": {"chunk": _Chunk(text)}}
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agent = _ContextAwareAgent()
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result = StreamOutput()
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_ = await _collect(
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frames = await _collect(
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stream_agent_events(
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agent=agent,
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config={"configurable": {"thread_id": "t-2"}},
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@ -103,5 +108,8 @@ async def test_stream_agent_events_passes_runtime_context_to_agent() -> None:
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)
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)
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assert agent.calls
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assert agent.calls[0][1]["context"] == {"mentioned_document_ids": [1, 2]}
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assert frames == [
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"text_start:text-1",
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"text_delta:text-1:ctx-ok",
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"text_end:text-1",
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]
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@ -8,7 +8,11 @@ from typing import Any
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import pytest
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from app.tasks.chat.streaming.orchestration import StreamExecutionInput
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from app.tasks.chat.streaming.orchestration.orchestrator import stream_chat
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from app.tasks.chat.streaming.orchestration.orchestrator import (
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stream_chat,
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stream_regenerate,
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stream_resume,
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)
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pytestmark = pytest.mark.unit
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@ -84,5 +88,53 @@ async def test_stream_chat_uses_orchestration_input_path() -> None:
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"text_delta:text-1:!",
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"text_end:text-1",
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]
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assert agent.calls
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assert agent.calls[0][1]["version"] == "v2"
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async def test_stream_resume_uses_orchestration_input_path() -> None:
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service = _StreamingService()
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agent = _Agent([{"event": "on_chat_model_stream", "data": {"chunk": _Chunk("r")}}])
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frames = await _collect(
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stream_resume(
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chat_id=9,
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search_space_id=1,
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decisions=[],
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orchestration_input=StreamExecutionInput(
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agent=agent,
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config={"configurable": {"thread_id": "thread-r"}},
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input_data={"messages": []},
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streaming_service=service,
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),
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)
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)
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assert frames == [
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"text_start:text-1",
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"text_delta:text-1:r",
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"text_end:text-1",
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]
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async def test_stream_regenerate_uses_orchestration_input_path() -> None:
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service = _StreamingService()
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agent = _Agent([{"event": "on_chat_model_stream", "data": {"chunk": _Chunk("g")}}])
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frames = await _collect(
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stream_regenerate(
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user_query="q",
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search_space_id=1,
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chat_id=2,
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orchestration_input=StreamExecutionInput(
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agent=agent,
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config={"configurable": {"thread_id": "thread-g"}},
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input_data={"messages": []},
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streaming_service=service,
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),
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)
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)
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assert frames == [
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"text_start:text-1",
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"text_delta:text-1:g",
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"text_end:text-1",
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]
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