Python: Rebase durable task feature branch with main (#2806)

python/samples/getting_started/workflows/README.md

@@ -44,6 +44,7 @@ Once comfortable with these, explore the rest of the samples below.
 | Magentic Workflow as Agent | [agents/magentic_workflow_as_agent.py](./agents/magentic_workflow_as_agent.py) | Configure Magentic orchestration with callbacks, then expose the workflow as an agent |
 | Workflow as Agent (Reflection Pattern) | [agents/workflow_as_agent_reflection_pattern.py](./agents/workflow_as_agent_reflection_pattern.py) | Wrap a workflow so it can behave like an agent (reflection pattern) |
 | Workflow as Agent + HITL | [agents/workflow_as_agent_human_in_the_loop.py](./agents/workflow_as_agent_human_in_the_loop.py) | Extend workflow-as-agent with human-in-the-loop capability |
+| Workflow as Agent with Thread | [agents/workflow_as_agent_with_thread.py](./agents/workflow_as_agent_with_thread.py) | Use AgentThread to maintain conversation history across workflow-as-agent invocations |
 | Handoff Workflow as Agent | [agents/handoff_workflow_as_agent.py](./agents/handoff_workflow_as_agent.py) | Use a HandoffBuilder workflow as an agent with HITL via FunctionCallContent/FunctionResultContent |
 
 ### checkpoint
@@ -54,6 +55,7 @@ Once comfortable with these, explore the rest of the samples below.
 | Checkpoint & HITL Resume | [checkpoint/checkpoint_with_human_in_the_loop.py](./checkpoint/checkpoint_with_human_in_the_loop.py) | Combine checkpointing with human approvals and resume pending HITL requests |
 | Checkpointed Sub-Workflow | [checkpoint/sub_workflow_checkpoint.py](./checkpoint/sub_workflow_checkpoint.py) | Save and resume a sub-workflow that pauses for human approval |
 | Handoff + Tool Approval Resume | [checkpoint/handoff_with_tool_approval_checkpoint_resume.py](./checkpoint/handoff_with_tool_approval_checkpoint_resume.py) | Handoff workflow that captures tool-call approvals in checkpoints and resumes with human decisions |
+| Workflow as Agent Checkpoint | [checkpoint/workflow_as_agent_checkpoint.py](./checkpoint/workflow_as_agent_checkpoint.py) | Enable checkpointing when using workflow.as_agent() with checkpoint_storage parameter |
 
 ### composition
 
@@ -84,7 +86,6 @@ Once comfortable with these, explore the rest of the samples below.
 | ConcurrentBuilder Request Info | [human-in-the-loop/concurrent_request_info.py](./human-in-the-loop/concurrent_request_info.py) | Review concurrent agent outputs before aggregation using `.with_request_info()` on ConcurrentBuilder |
 | GroupChatBuilder Request Info | [human-in-the-loop/group_chat_request_info.py](./human-in-the-loop/group_chat_request_info.py) | Steer group discussions with periodic guidance using `.with_request_info()` on GroupChatBuilder |
 
-
 ### tool-approval
 
 Tool approval samples demonstrate using `@ai_function(approval_mode="always_require")` to gate sensitive tool executions with human approval. These work with the high-level builder APIs.
@@ -110,6 +111,7 @@ For additional observability samples in Agent Framework, see the [observability
 | Concurrent Orchestration (Default Aggregator) | [orchestration/concurrent_agents.py](./orchestration/concurrent_agents.py) | Fan-out to multiple agents; fan-in with default aggregator returning combined ChatMessages |
 | Concurrent Orchestration (Custom Aggregator) | [orchestration/concurrent_custom_aggregator.py](./orchestration/concurrent_custom_aggregator.py) | Override aggregator via callback; summarize results with an LLM |
 | Concurrent Orchestration (Custom Agent Executors) | [orchestration/concurrent_custom_agent_executors.py](./orchestration/concurrent_custom_agent_executors.py) | Child executors own ChatAgents; concurrent fan-out/fan-in via ConcurrentBuilder |
+| Concurrent Orchestration (Participant Factory) | [orchestration/concurrent_participant_factory.py](./orchestration/concurrent_participant_factory.py) | Use participant factories for state isolation between workflow instances |
 | Group Chat with Agent Manager | [orchestration/group_chat_agent_manager.py](./orchestration/group_chat_agent_manager.py) | Agent-based manager using `set_manager()` to select next speaker |
 | Group Chat Philosophical Debate | [orchestration/group_chat_philosophical_debate.py](./orchestration/group_chat_philosophical_debate.py) | Agent manager moderates long-form, multi-round debate across diverse participants |
 | Group Chat with Simple Function Selector | [orchestration/group_chat_simple_selector.py](./orchestration/group_chat_simple_selector.py) | Group chat with a simple function selector for next speaker |
@@ -117,6 +119,7 @@ For additional observability samples in Agent Framework, see the [observability
 | Handoff (Specialist-to-Specialist) | [orchestration/handoff_specialist_to_specialist.py](./orchestration/handoff_specialist_to_specialist.py) | Multi-tier routing: specialists can hand off to other specialists using `.add_handoff()` fluent API |
 | Handoff (Return-to-Previous) | [orchestration/handoff_return_to_previous.py](./orchestration/handoff_return_to_previous.py) | Return-to-previous routing: after user input, routes back to the previous specialist instead of coordinator using `.enable_return_to_previous()` |
 | Handoff (Autonomous) | [orchestration/handoff_autonomous.py](./orchestration/handoff_autonomous.py) | Autonomous mode: specialists iterate independently until invoking a handoff tool using `.with_interaction_mode("autonomous", autonomous_turn_limit=N)` |
+| Handoff (Participant Factory) | [orchestration/handoff_participant_factory.py](./orchestration/handoff_participant_factory.py) | Use participant factories for state isolation between workflow instances |
 | Magentic Workflow (Multi-Agent) | [orchestration/magentic.py](./orchestration/magentic.py) | Orchestrate multiple agents with Magentic manager and streaming |
 | Magentic + Human Plan Review | [orchestration/magentic_human_plan_update.py](./orchestration/magentic_human_plan_update.py) | Human reviews/updates the plan before execution |
 | Magentic + Human Stall Intervention | [orchestration/magentic_human_replan.py](./orchestration/magentic_human_replan.py) | Human intervenes when workflow stalls with `with_human_input_on_stall()` |
@@ -146,6 +149,8 @@ to configure which agents can route to which others with a fluent, type-safe API
 | Sample | File | Concepts |
 |---|---|---|
 | Shared States | [state-management/shared_states_with_agents.py](./state-management/shared_states_with_agents.py) | Store in shared state once and later reuse across agents |
+| Workflow Kwargs (Custom Context) | [state-management/workflow_kwargs.py](./state-management/workflow_kwargs.py) | Pass custom context (data, user tokens) via kwargs to `@ai_function` tools |
+
 
 ### visualization