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Auto-finalize ResponseStream on iteration completion (#4478)

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* Add multi-turn streaming sample and rename multi-turn samples

- Rename 03_multi_turn.py to 03a_multi_turn.py
- Add 03b_multi_turn_streaming.py showing streaming with session history
- The new sample demonstrates calling get_final_response() after
  iterating the stream to persist conversation history
- Update READMEs to reflect the new file names

Closes #4447

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

* Auto-finalize ResponseStream on iteration completion

When a ResponseStream is fully consumed via async iteration,
automatically trigger finalization (finalizer + result hooks).
This ensures session history is persisted in streaming multi-turn
conversations without requiring an explicit get_final_response() call.

- Add auto-finalize call in __anext__ on StopAsyncIteration
- Guard inner stream finalization to prevent double-execution
- Re-check _finalized after iteration in get_final_response()
- Add tests for auto-finalization and streaming session history
- Revert sample file renames from previous commit

Closes #4447

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

* README fix

* Fix SIM102 lint: combine nested if statements

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

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Giles Odigwe
2026-03-09 15:29:09 -07:00
committed by GitHub
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parent 2aaca50217
commit 6cb2289a16
5 changed files with 122 additions and 31 deletions
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python/samples/01-get-started/README.md
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@@ -22,7 +22,7 @@ export AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME="gpt-4o" # optional, defaults to
|---|------|-------------------|
| 1 | [01_hello_agent.py](01_hello_agent.py) | Create your first agent and run it (streaming and non-streaming). |
| 2 | [02_add_tools.py](02_add_tools.py) | Define a function tool with `@tool` and attach it to an agent. |
| 3 | [03_multi_turn.py](03_multi_turn.py) | Keep conversation history across turns with `AgentThread`. |
| 3 | [03_multi_turn.py](03_multi_turn.py) | Keep conversation history across turns with `AgentSession`. |
| 4 | [04_memory.py](04_memory.py) | Add dynamic context with a custom `ContextProvider`. |
| 5 | [05_first_workflow.py](05_first_workflow.py) | Chain executors into a workflow with edges. |
| 6 | [06_host_your_agent.py](06_host_your_agent.py) | Host a single agent with Azure Functions. |
python/samples/README.md
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@@ -18,7 +18,7 @@ Start with `01-get-started/` and work through the numbered files:
1. **[01_hello_agent.py](./01-get-started/01_hello_agent.py)** — Create and run your first agent
2. **[02_add_tools.py](./01-get-started/02_add_tools.py)** — Add function tools with `@tool`
3. **[03_multi_turn.py](./01-get-started/03_multi_turn.py)** — Multi-turn conversations with `AgentThread`
3. **[03_multi_turn.py](./01-get-started/03_multi_turn.py)** — Multi-turn conversations with `AgentSession`
4. **[04_memory.py](./01-get-started/04_memory.py)** — Agent memory with `ContextProvider`
5. **[05_first_workflow.py](./01-get-started/05_first_workflow.py)** — Build a workflow with executors and edges
6. **[06_host_your_agent.py](./01-get-started/06_host_your_agent.py)** — Host your agent via Azure Functions