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d864b8c836
Remove the SDK alias/result layers so the wrapper surface returns canonical generated app-server models directly. - delete public type alias modules and regenerate v2_all.py against current schema - return InitializeResponse from metadata and generated Turn from run() - update docs, examples, notebook, and tests to use canonical generated models and repo-only text extraction helpers Validation: - PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests - GH_TOKEN="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" RUN_REAL_CODEX_TESTS=1 PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests -rs Co-authored-by: Codex <noreply@openai.com>
64 lines
2.3 KiB
Python
64 lines
2.3 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 codex_app_server import Codex, TextInput
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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(TextInput("One sentence about structured planning.")).run()
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second = thread.turn(TextInput("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_info = "n/a"
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try:
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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(TextInput("Continue in one short sentence.")).run()
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resumed_info = f"{resumed_result.id} {resumed_result.status}"
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except Exception as exc:
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resumed_info = f"skipped({type(exc).__name__})"
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forked_info = "n/a"
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try:
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forked = codex.thread_fork(unarchived.id, model="gpt-5.4")
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forked_result = forked.turn(TextInput("Take a different angle in one short sentence.")).run()
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forked_info = f"{forked_result.id} {forked_result.status}"
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except Exception as exc:
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forked_info = f"skipped({type(exc).__name__})"
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compact_info = "sent"
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try:
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_ = unarchived.compact()
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except Exception as exc:
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compact_info = f"skipped({type(exc).__name__})"
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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 or []))
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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_info)
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print("forked:", forked_info)
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print("compact:", compact_info)
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