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Add Python SDK public API and examples (#14446)
## TL;DR WIP esp the examples Thin the Python SDK public surface so the wrapper layer returns canonical app-server generated models directly. - keeps `Codex` / `AsyncCodex` / `Thread` / `Turn` and input helpers, but removes alias-only type layers and custom result models - `metadata` now returns `InitializeResponse` and `run()` returns the generated app-server `Turn` - updates docs, examples, notebook, and tests to use canonical generated types and regenerates `v2_all.py` against current schema - keeps the pinned runtime-package integration flow and real integration coverage ## Validation - `PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests` - `GH_TOKEN="$(gh auth token)" RUN_REAL_CODEX_TESTS=1 PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests -rs` --------- Co-authored-by: Codex <noreply@openai.com>
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sdk/python/examples/01_quickstart_constructor/sync.py
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28
sdk/python/examples/01_quickstart_constructor/sync.py
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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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server_label,
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)
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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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print("Server:", server_label(codex.metadata))
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thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
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result = thread.turn(TextInput("Say hello in one sentence.")).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("Text:", assistant_text_from_turn(persisted_turn))
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