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Python: Add Handoff orchestration pattern support (#1469)

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* Add Handoff orchestration pattern support

* PR feedback

* Use AOAI client in samples

* Adjust to tool

* Handoff to sub-agent via ai function

* PR feedback

* More cleanup

* Improvements

* PR feedback cleanup

* Add handoff migration sample.

* Remove type ignore

* fix markdown link formatting

* Remove readme link for non-existent sample
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Evan Mattson
2025-10-22 10:51:51 +09:00
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python/samples/getting_started/workflows/README.md
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@@ -89,6 +89,8 @@ Once comfortable with these, explore the rest of the samples below.
| 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 |
| 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 |
| 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 + Checkpoint Resume | [orchestration/magentic_checkpoint.py](./orchestration/magentic_checkpoint.py) | Resume Magentic orchestration from saved checkpoints |
@@ -97,6 +99,11 @@ Once comfortable with these, explore the rest of the samples below.
**Magentic checkpointing tip**: Treat `MagenticBuilder.participants` keys as stable identifiers. When resuming from a checkpoint, the rebuilt workflow must reuse the same participant names; otherwise the checkpoint cannot be applied and the run will fail fast.
**Handoff workflow tip**: Handoff workflows maintain the full conversation history including any
`ChatMessage.additional_properties` emitted by your agents. This ensures routing metadata remains
intact across all agent transitions. For specialist-to-specialist handoffs, use `.add_handoff(source, targets)`
to configure which agents can route to which others with a fluent, type-safe API.
### parallelism
| Sample | File | Concepts |