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[BREAKING] Python: Refactor orchestrations (#3023)

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* Group chat refactoring Part 1; Next: HIL and handoff

* Add agent approval flow; next samples

* WIP: samples

* WIP: HIL samples

* Group chat HIL working; next: handoff

* Fix group chat tool approval sample

* WIP: refactor handoff; next handoff handling

* Handoff done; next handoff samples and concurrent and sequential

* Handoff samples, concurrent, and sequential done; next Magentic

* WIP: magentic; next test with samples + HIL

* Magentic Working; next fix all samples and tests

* Fix handoff samples; next tests

* WIP: fixing tests; some orchestration as agent samples are failing

* Group chat unit tests done

* Handoff  unit tests done

* Remove old orchestration_request_info and fix related tests

* Magentic unit tests done

* Fix samples

* Fix test

* Fix test 2

* mypy

* Address comments

* Update readme

* Address comments

* Address comments 2

* Replace display name
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Tao Chen
2026-01-13 10:40:26 -08:00
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@@ -115,18 +115,14 @@ For additional observability samples in Agent Framework, see the [observability
| 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 with Agent Manager | [orchestration/group_chat_agent_manager.py](./orchestration/group_chat_agent_manager.py) | Agent-based manager using `with_agent_orchestrator()` 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 |
| Handoff (Simple) | [orchestration/handoff_simple.py](./orchestration/handoff_simple.py) | Single-tier routing: triage agent routes to specialists, control returns to user after each specialist response |
| 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 (Autonomous) | [orchestration/handoff_autonomous.py](./orchestration/handoff_autonomous.py) | Autonomous mode: specialists iterate independently until invoking a handoff tool using `.with_autonomous_mode()` |
| 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()` |
| Magentic + Agent Clarification | [orchestration/magentic_agent_clarification.py](./orchestration/magentic_agent_clarification.py) | Agents ask clarifying questions via `ask_user` tool with `@ai_function(approval_mode="always_require")` |
| Magentic + Human Plan Review | [orchestration/magentic_human_plan_review.py](./orchestration/magentic_human_plan_review.py) | Human reviews/updates the plan before execution |
| Magentic + Checkpoint Resume | [orchestration/magentic_checkpoint.py](./orchestration/magentic_checkpoint.py) | Resume Magentic orchestration from saved checkpoints |
| Sequential Orchestration (Agents) | [orchestration/sequential_agents.py](./orchestration/sequential_agents.py) | Chain agents sequentially with shared conversation context |
| Sequential Orchestration (Custom Executor) | [orchestration/sequential_custom_executors.py](./orchestration/sequential_custom_executors.py) | Mix agents with a summarizer that appends a compact summary |