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e7bffc5a20
## Summary
- Allow thread.turn and turn.steer, including async variants, to accept
RunInput so plain strings work alongside typed input objects.
- Export RunInput and update the SDK artifact generator so regenerated
turn methods keep the same signature and normalization.
- Update docs, examples, notebook cells, and tests to use string
shorthand for text-only turns while keeping typed inputs for multimodal
input.
## Validation
- uv run --extra dev ruff format .
- uv run --extra dev ruff check --output-format=github .
- python3 -m py_compile sdk/python/src/openai_codex/__init__.py
sdk/python/src/openai_codex/api.py
sdk/python/src/openai_codex/_inputs.py
sdk/python/scripts/update_sdk_artifacts.py
sdk/python/tests/test_public_api_signatures.py
sdk/python/tests/test_app_server_streaming.py
sdk/python/tests/test_app_server_turn_controls.py
sdk/python/tests/test_real_app_server_integration.py
- python3 -c "import json;
json.load(open('sdk/python/notebooks/sdk_walkthrough.ipynb'))"
- sdk/python/.venv/bin/python -c "import inspect, openai_codex; from
openai_codex import Thread, AsyncThread, TurnHandle, AsyncTurnHandle,
RunInput; funcs=[Thread.run, Thread.turn, AsyncThread.run,
AsyncThread.turn, TurnHandle.steer, AsyncTurnHandle.steer]; assert
all(inspect.signature(fn).parameters['input'].annotation == 'RunInput'
for fn in funcs); assert RunInput is openai_codex.RunInput"
49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
import sys
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from pathlib import Path
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_EXAMPLES_ROOT = Path(__file__).resolve().parents[1]
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if str(_EXAMPLES_ROOT) not in sys.path:
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sys.path.insert(0, str(_EXAMPLES_ROOT))
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from _bootstrap import ensure_local_sdk_src, runtime_config
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ensure_local_sdk_src()
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from openai_codex import Codex
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with Codex(config=runtime_config()) as codex:
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thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
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first = thread.turn("One sentence about structured planning.").run()
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second = thread.turn("Now restate it for a junior engineer.").run()
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reopened = codex.thread_resume(thread.id)
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listing_active = codex.thread_list(limit=20, archived=False)
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reading = reopened.read(include_turns=True)
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_ = reopened.set_name("sdk-lifecycle-demo")
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_ = codex.thread_archive(reopened.id)
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listing_archived = codex.thread_list(limit=20, archived=True)
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unarchived = codex.thread_unarchive(reopened.id)
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resumed = codex.thread_resume(
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unarchived.id,
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model="gpt-5.4",
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config={"model_reasoning_effort": "high"},
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)
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resumed_result = resumed.turn("Continue in one short sentence.").run()
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forked = codex.thread_fork(unarchived.id, model="gpt-5.4")
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forked_result = forked.turn("Take a different angle in one short sentence.").run()
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compact_result = unarchived.compact()
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print("Lifecycle OK:", thread.id)
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print("first:", first.id, first.status)
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print("second:", second.id, second.status)
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print("read.turns:", len(reading.thread.turns))
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print("list.active:", len(listing_active.data))
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print("list.archived:", len(listing_archived.data))
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print("resumed:", resumed_result.id, resumed_result.status)
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print("forked:", forked_result.id, forked_result.status)
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print("compact:", compact_result.model_dump(mode="json", by_alias=True))
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