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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>
26 lines
1021 B
Python
26 lines
1021 B
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 assistant_text_from_turn, ensure_local_sdk_src, find_turn_by_id, 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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# Create an initial thread and turn so we have a real thread to resume.
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original = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
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first = original.turn(TextInput("Tell me one fact about Saturn.")).run()
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print("Created thread:", original.id)
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# Resume the existing thread by ID.
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resumed = codex.thread_resume(original.id)
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second = resumed.turn(TextInput("Continue with one more fact.")).run()
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persisted = resumed.read(include_turns=True)
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persisted_turn = find_turn_by_id(persisted.thread.turns, second.id)
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print(assistant_text_from_turn(persisted_turn))
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