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https://github.com/openai/codex.git
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0ba4cfa4f4
Update the repo-run examples that still hardcoded gpt-5 so they use the same gpt-5.4 path already succeeding elsewhere in this runtime. This fixes the quickstart, lifecycle, multimodal, parity, CLI, retry, and kitchen-sink examples that were failing with the runtime-side tool_search compatibility error under gpt-5. Validation: - ran all 25 sdk/python example scripts locally - no examples reported failed turns after the model update - remaining empty-item outputs are limited to 02_turn_run and 03_turn_stream_events for follow-up investigation Co-authored-by: Codex <noreply@openai.com>
90 lines
2.7 KiB
Python
90 lines
2.7 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 (
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Codex,
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TextInput,
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ThreadTokenUsageUpdatedNotification,
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TurnCompletedNotificationPayload,
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)
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print("Codex mini CLI. Type /exit to quit.")
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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.inputTokens} output={last.outputTokens} reasoning={last.reasoningOutputTokens} total={last.totalTokens} cached={last.cachedInputTokens}\n"
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f" total: input={total.inputTokens} output={total.outputTokens} reasoning={total.reasoningOutputTokens} total={total.totalTokens} cached={total.cachedInputTokens}"
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)
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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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print("Thread:", thread.id)
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while True:
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try:
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user_input = 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 = 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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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, TurnCompletedNotificationPayload):
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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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