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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>
37 lines
1.1 KiB
Python
37 lines
1.1 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 (
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assistant_text_from_turn,
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ensure_local_sdk_src,
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find_turn_by_id,
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runtime_config,
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)
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ensure_local_sdk_src()
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from codex_app_server import Codex, LocalImageInput, TextInput
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IMAGE_PATH = Path(__file__).resolve().parents[1] / "assets" / "sample_scene.png"
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if not IMAGE_PATH.exists():
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raise FileNotFoundError(f"Missing bundled image: {IMAGE_PATH}")
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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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result = thread.turn(
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[
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TextInput("Read this local image and summarize what you see in 2 bullets."),
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LocalImageInput(str(IMAGE_PATH.resolve())),
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]
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).run()
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persisted = thread.read(include_turns=True)
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persisted_turn = find_turn_by_id(persisted.thread.turns, result.id)
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print("Status:", result.status)
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print(assistant_text_from_turn(persisted_turn))
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