Python: [BREAKING] Standardize orchestration terminal outputs as AgentResponse (#5301)

* Fix orchestration outputs so as_agent() returns the final answer only. Align other orchestration outputs

* Fix orchestration output issues from review comments

1. Sample cleanup: Remove commented-out FoundryChatClient block and update
   prerequisites to reference OPENAI_CHAT_MODEL_ID instead of FOUNDRY_* vars.

2. Sequential approval output: Change _EndWithConversation.end_with_agent_executor_response
   from a no-op sink to yield response.agent_response. When the last participant is
   AgentApprovalExecutor (via with_request_info), _EndWithConversation is the output
   executor so the yield produces the terminal answer. When the last participant is a
   regular AgentExecutor, _EndWithConversation is not in output_executors so the yield
   is silently filtered out.

3. Forward data events through WorkflowExecutor: _process_workflow_result now also
   forwards 'data' events from sub-workflows so that emit_intermediate_data=True on
   AgentExecutor works correctly when wrapped in AgentApprovalExecutor.

4. Concurrent docstring: Update _AggregateAgentConversations docstring to say
   'deterministic participant order' instead of 'completion order'.

5. Add test_concurrent_intermediate_outputs_emits_data_events verifying that
   ConcurrentBuilder(intermediate_outputs=True) emits per-participant data events
   alongside the single aggregated output event.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Add tests for sequential workflow with_request_info and intermediate_outputs (#5301)

Address PR review comments 2, 3, and 5:

- Add test_sequential_request_info_last_participant_emits_output:
  Verifies that when the last participant is wrapped via with_request_info()
  (AgentApprovalExecutor), the workflow still emits a terminal output after
  approval, exercising the _EndWithConversation.end_with_agent_executor_response
  fallback path.

- Add test_sequential_request_info_with_intermediate_outputs_emits_data_events:
  Verifies that emit_intermediate_data=True works correctly through
  AgentApprovalExecutor wrapping—WorkflowExecutor._process_result already
  forwards data events from sub-workflows, so intermediate agent responses
  surface as data events in the parent workflow.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix pyright type errors from AgentResponse output refactor (#5301)

Update cast() calls in _group_chat.py and _magentic.py to use
WorkflowContext[Never, AgentResponse] instead of the old
WorkflowContext[Never, list[Message]], matching the updated method
signatures in _base_group_chat_orchestrator.py.

Fix _sequential.py _EndWithConversation.end_with_agent_executor_response
to declare WorkflowContext[Any, AgentResponse] so yield_output accepts
AgentResponse[None].

Fix _workflow_executor.py data event forwarding to handle nullable
executor_id.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix pyright reportUnknownVariableType in _agent.py (#5301)

Extract event.data into a typed local variable before the isinstance
check to avoid pyright narrowing it to AgentResponse[Unknown].

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix pyright reportMissingImports for orjson in file history samples (#5301)

Add pyright: ignore[reportMissingImports] to orjson imports that are
already guarded by try/except ImportError, matching the existing pattern
used elsewhere in the samples.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback for #5301: review comment fixes

* Address review feedback for #5301: review comment fixes

* Revert sequential_workflow_as_agent sample to FoundryChatClient

Reverts the mistaken switch from FoundryChatClient to OpenAIChatClient
in the sequential workflow as agent sample.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address ultrareview feedback: emit_data_events rename + WorkflowAgent reasoning conversion

Layered on top of the prior review-feedback work in this branch.

Renames:
- AgentExecutor.emit_intermediate_data -> emit_data_events (mechanical
  rename; orchestration semantics live at the orchestration layer, not
  the general-purpose executor). Forwarded through MagenticAgentExecutor,
  AgentApprovalExecutor, and all orchestration call sites.
- HandoffAgentExecutor._check_terminate_and_yield -> _should_terminate
  (pure predicate; no longer yields anything). HandoffBuilder docstring
  rewritten to describe the new per-agent AgentResponse output contract.

WorkflowAgent reasoning-content conversion:
- Add _rewrite_text_to_reasoning(contents) and _msg_as_reasoning(msg)
  helpers; the as_agent() path now reframes text content from data events
  as text_reasoning Content blocks before merging into the AgentResponse.
- Consumers iterate msg.contents and branch on content.type — same path
  they already use for Claude thinking and OpenAI reasoning. No new
  field on Message/AgentResponse/WorkflowEvent.
- Streaming branch constructs fresh AgentResponseUpdate instances instead
  of mutating shared payloads (regression test added).
- Helper _msg_maybe_reasoning consolidates the conditional rewrite at
  three call sites in the non-streaming conversion.

Tests:
- TestWorkflowAgentReasoningHelpers + TestWorkflowAgentDataEventReasoningConversion
  add 9 new tests covering helpers, non-streaming, streaming, mixed content,
  already-reasoning passthrough, and mutation-safety regression.
- Updated test_sequential_as_agent_with_intermediate_outputs_includes_chain
  to assert text_reasoning content for intermediate agents.

* Fix pyright: widen event.data to Any to avoid partial-unknown narrowing

The streaming conversion path narrowed event.data via isinstance against
generic AgentResponse, producing AgentResponse[Unknown] and tripping
reportUnknownVariableType/reportUnknownMemberType. Binding data: Any
before the check keeps runtime behavior identical while restoring a fully
known type for downstream access.

* Clean up design

* Scope to agent output semantics only

* yield AgentResponseUpdate streaming, AgentResponse non-streaming

* Fix mypy/pyright: widen cast types at GroupChat callsites

Eight callsites in _group_chat.py still cast to WorkflowContext[Never,
AgentResponse] but the base orchestrator methods now accept the wider
WorkflowContext[Never, AgentResponse | AgentResponseUpdate] (mode-aware
yields). W_OutT is invariant, so the narrower cast is not assignable.
Magentic was widened in the same commit; this catches the GroupChat
callsites that were missed.

* Python: skip flaky Foundry / Foundry Hosting integration tests (#5553)

These two integration tests have been failing in the merge queue across
multiple unrelated PRs (5301, 5531). Both are marked `@pytest.mark.flaky`
with 3 retries, but all attempts fail back-to-back. Skipping both with a
reason pointing to #5553 so they can be fixed properly without continuing
to block unrelated merges.

- packages/foundry_hosting/tests/test_responses_int.py::TestOptions::test_temperature_and_max_tokens
- packages/foundry/tests/foundry/test_foundry_embedding_client.py::TestFoundryEmbeddingIntegration::test_text_embedding_live

Also includes a one-line uv.lock specifier-ordering normalization
auto-applied by the poe-check pre-commit hook.

---------

Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

python/packages/orchestrations/tests/test_handoff.py

@@ -9,6 +9,8 @@ from unittest.mock import AsyncMock, MagicMock
 import pytest
 from agent_framework import (
     Agent,
+    AgentResponse,
+    AgentResponseUpdate,
     ChatResponse,
     ChatResponseUpdate,
     Content,
@@ -856,10 +858,15 @@ async def test_autonomous_mode_yields_output_without_user_request():
     outputs = [ev for ev in events if ev.type == "output"]
     assert outputs, "Autonomous mode should yield a workflow output"
 
-    final_conversation = outputs[-1].data
-    assert isinstance(final_conversation, list)
-    conversation_list = cast(list[Message], final_conversation)
-    assert any(msg.role == "assistant" and (msg.text or "").startswith("specialist reply") for msg in conversation_list)
+    # Per-agent activity surfaces as `output` events from each HandoffAgentExecutor as they
+    # speak. Handoff has no orchestrator that produces a separate "answer" — the conversation
+    # IS the result. In streaming mode payloads are AgentResponseUpdate; combined text should
+    # contain the specialist's reply.
+    payloads = [ev.data for ev in outputs if isinstance(ev.data, (AgentResponse, AgentResponseUpdate))]
+    combined = " ".join(
+        getattr(p, "text", None) or " ".join(m.text for m in getattr(p, "messages", [])) for p in payloads
+    )
+    assert "specialist reply" in combined
 
 
 async def test_autonomous_mode_resumes_user_input_on_turn_limit():
@@ -923,14 +930,10 @@ async def test_handoff_async_termination_condition() -> None:
             stream=True, responses={requests[-1].request_id: [Message(role="user", contents=["Second user message"])]}
         )
     )
-    outputs = [ev for ev in events if ev.type == "output"]
-    assert len(outputs) == 1
-
-    final_conversation = outputs[0].data
-    assert isinstance(final_conversation, list)
-    final_conv_list = cast(list[Message], final_conversation)
-    user_messages = [msg for msg in final_conv_list if msg.role == "user"]
-    assert len(user_messages) == 2
+    # Resume run terminates without further agent activity once the second user message
+    # satisfies the termination condition. The workflow returns to idle cleanly.
+    idle_states = [ev for ev in events if ev.type == "status" and ev.state == WorkflowRunState.IDLE]
+    assert idle_states, "Workflow should become idle after termination"
     assert termination_call_count > 0
 
 
@@ -990,8 +993,9 @@ async def test_handoff_terminates_without_request_info_when_latest_response_meet
 
     outputs = [event for event in events if event.type == "output"]
     assert outputs
-    conversation_outputs = [event for event in outputs if isinstance(event.data, list)]
-    assert len(conversation_outputs) == 1
+    # Per-agent activity surfaces as output events (AgentResponseUpdate in streaming mode).
+    agent_payloads = [event for event in outputs if isinstance(event.data, (AgentResponse, AgentResponseUpdate))]
+    assert len(agent_payloads) >= 1
 
 
 async def test_tool_choice_preserved_from_agent_config():