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f1b84fac63
## Why The SDK should publish under the reserved public distribution name `openai-codex`, and its import module should match that name in the Python style. Since package names can contain hyphens but import modules cannot, the public import path becomes `openai_codex`. Keeping the rename separate from the public API surface change makes the naming change easy to review and avoids mixing it with API curation. ## What - Rename the SDK distribution from `openai-codex-app-server-sdk` to `openai-codex`. - Rename the import package from `codex_app_server` to `openai_codex`. - Keep the runtime wheel as the separate `openai-codex-cli-bin` dependency. - Update docs, examples, notebooks, artifact scripts, lockfile metadata, and tests for the new distribution/module names. ## Stack 1. #21891 `[1/8]` Pin Python SDK runtime dependency 2. #21893 `[2/8]` Generate Python SDK types from pinned runtime 3. #21895 `[3/8]` Run Python SDK tests in CI 4. #21896 `[4/8]` Define Python SDK public API surface 5. This PR `[5/8]` Rename Python SDK package to `openai-codex` 6. #21910 `[6/8]` Add high-level Python SDK approval mode 7. #22014 `[7/8]` Add Python SDK app-server integration harness 8. #22021 `[8/8]` Add Python SDK Ruff formatting ## Verification - Updated package metadata and public API tests to assert the distribution and import names. Co-authored-by: Codex <noreply@openai.com>
99 lines
3.0 KiB
Python
99 lines
3.0 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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import asyncio
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from openai_codex import (
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AsyncCodex,
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TextInput,
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)
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from openai_codex.types import (
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ThreadTokenUsageUpdatedNotification,
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TurnCompletedNotification,
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)
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def _status_value(status: object | None) -> str:
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return str(getattr(status, "value", status))
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def _format_usage(usage: object | None) -> str:
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if usage is None:
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return "usage> (none)"
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last = getattr(usage, "last", None)
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total = getattr(usage, "total", None)
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if last is None or total is None:
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return f"usage> {usage}"
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return (
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"usage>\n"
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f" last: input={last.input_tokens} output={last.output_tokens} reasoning={last.reasoning_output_tokens} total={last.total_tokens} cached={last.cached_input_tokens}\n"
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f" total: input={total.input_tokens} output={total.output_tokens} reasoning={total.reasoning_output_tokens} total={total.total_tokens} cached={total.cached_input_tokens}"
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)
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async def main() -> None:
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print("Codex async mini CLI. Type /exit to quit.")
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async with AsyncCodex(config=runtime_config()) as codex:
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thread = await codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
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print("Thread:", thread.id)
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while True:
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try:
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user_input = (await asyncio.to_thread(input, "you> ")).strip()
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except EOFError:
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break
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if not user_input:
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continue
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if user_input in {"/exit", "/quit"}:
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break
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turn = await thread.turn(TextInput(user_input))
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usage = None
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status = None
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error = None
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printed_delta = False
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print("assistant> ", end="", flush=True)
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async for event in turn.stream():
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payload = event.payload
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if event.method == "item/agentMessage/delta":
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delta = getattr(payload, "delta", "")
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if delta:
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print(delta, end="", flush=True)
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printed_delta = True
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continue
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if isinstance(payload, ThreadTokenUsageUpdatedNotification):
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usage = payload.token_usage
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continue
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if isinstance(payload, TurnCompletedNotification):
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status = payload.turn.status
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error = payload.turn.error
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if printed_delta:
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print()
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else:
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print("[no text]")
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status_text = _status_value(status)
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print(f"assistant.status> {status_text}")
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if status_text == "failed":
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print("assistant.error>", error)
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print(_format_usage(usage))
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if __name__ == "__main__":
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asyncio.run(main())
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