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Add Python SDK thread.run convenience methods (#15088)

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## TL;DR
Add `thread.run(...)` / `async thread.run(...)` convenience methods to
the Python SDK for the common case.

- add `RunInput = Input | str` and `RunResult` with `final_response`,
collected `items`, and optional `usage`
- keep `thread.turn(...)` strict and lower-level for streaming,
steering, interrupting, and raw generated `Turn` access
- update Python SDK docs, quickstart examples, and tests for the sync
and async convenience flows

## Validation
- `python3 -m pytest sdk/python/tests/test_public_api_signatures.py
sdk/python/tests/test_public_api_runtime_behavior.py`
- `python3 -m pytest
sdk/python/tests/test_real_app_server_integration.py -k
'thread_run_convenience or async_thread_run_convenience'` (skipped in
this environment)

---------

Co-authored-by: Codex <noreply@openai.com>
This commit is contained in:
Shaqayeq
2026-03-18 17:57:48 -07:00
committed by GitHub
parent 825d09373d
commit 4fd2774614
12 changed files with 760 additions and 103 deletions
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38
sdk/python/docs/getting-started.md
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@@ -22,41 +22,42 @@ Requirements:
## 2) Run your first turn (sync)
```python
from codex_app_server import Codex, TextInput
from codex_app_server import Codex
with Codex() as codex:
server = codex.metadata.serverInfo
print("Server:", None if server is None else server.name, None if server is None else server.version)
thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
completed_turn = thread.turn(TextInput("Say hello in one sentence.")).run()
result = thread.run("Say hello in one sentence.")
print("Thread:", thread.id)
print("Turn:", completed_turn.id)
print("Status:", completed_turn.status)
print("Items:", len(completed_turn.items or []))
print("Text:", result.final_response)
print("Items:", len(result.items))
```
What happened:
- `Codex()` started and initialized `codex app-server`.
- `thread_start(...)` created a thread.
- `turn(...).run()` consumed events until `turn/completed` and returned the canonical generated app-server `Turn` model.
- one client can have only one active `TurnHandle.stream()` / `TurnHandle.run()` consumer at a time in the current experimental build
- `thread.run("...")` started a turn, consumed events until completion, and returned the final assistant response plus collected items and usage.
- `result.final_response` is `None` when no final-answer or phase-less assistant message item completes for the turn.
- use `thread.turn(...)` when you need a `TurnHandle` for streaming, steering, interrupting, or turn IDs/status
- one client can have only one active turn consumer (`thread.run(...)`, `TurnHandle.stream()`, or `TurnHandle.run()`) at a time in the current experimental build
## 3) Continue the same thread (multi-turn)
```python
from codex_app_server import Codex, TextInput
from codex_app_server import Codex
with Codex() as codex:
thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
first = thread.turn(TextInput("Summarize Rust ownership in 2 bullets.")).run()
second = thread.turn(TextInput("Now explain it to a Python developer.")).run()
first = thread.run("Summarize Rust ownership in 2 bullets.")
second = thread.run("Now explain it to a Python developer.")
print("first:", first.id, first.status)
print("second:", second.id, second.status)
print("first:", first.final_response)
print("second:", second.final_response)
```
## 4) Async parity
@@ -66,15 +67,14 @@ initializes lazily, and context entry makes startup/shutdown explicit.
```python
import asyncio
from codex_app_server import AsyncCodex, TextInput
from codex_app_server import AsyncCodex
async def main() -> None:
async with AsyncCodex() as codex:
thread = await codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
turn = await thread.turn(TextInput("Continue where we left off."))
completed_turn = await turn.run()
print(completed_turn.id, completed_turn.status)
result = await thread.run("Continue where we left off.")
print(result.final_response)
asyncio.run(main())
@@ -83,14 +83,14 @@ asyncio.run(main())
## 5) Resume an existing thread
```python
from codex_app_server import Codex, TextInput
from codex_app_server import Codex
THREAD_ID = "thr_123" # replace with a real id
with Codex() as codex:
thread = codex.thread_resume(THREAD_ID)
completed_turn = thread.turn(TextInput("Continue where we left off.")).run()
print(completed_turn.id, completed_turn.status)
result = thread.run("Continue where we left off.")
print(result.final_response)
```
## 6) Generated models