| import sys |
| from pathlib import Path |
|
|
| _EXAMPLES_ROOT = Path(__file__).resolve().parents[1] |
| if str(_EXAMPLES_ROOT) not in sys.path: |
| sys.path.insert(0, str(_EXAMPLES_ROOT)) |
|
|
| from _bootstrap import ensure_local_sdk_src, runtime_config |
|
|
| ensure_local_sdk_src() |
|
|
| from openai_codex import Codex |
|
|
| with Codex(config=runtime_config()) as codex: |
| thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"}) |
| steer_turn = thread.turn("Count from 1 to 40 with commas, then one summary sentence.") |
| steer_result = steer_turn.steer("Keep it brief and stop after 10 numbers.") |
|
|
| steer_event_count = 0 |
| steer_completed_status = None |
| steer_deltas = [] |
| for event in steer_turn.stream(): |
| steer_event_count += 1 |
| if event.method == "item/agentMessage/delta": |
| steer_deltas.append(event.payload.delta) |
| continue |
| if event.method == "turn/completed": |
| steer_completed_status = event.payload.turn.status.value |
|
|
| if steer_completed_status is None: |
| raise RuntimeError("stream ended without turn/completed") |
| steer_preview = "".join(steer_deltas).strip() |
|
|
| interrupt_turn = thread.turn("Count from 1 to 200 with commas, then one summary sentence.") |
| interrupt_result = interrupt_turn.interrupt() |
|
|
| interrupt_event_count = 0 |
| interrupt_completed_status = None |
| interrupt_deltas = [] |
| for event in interrupt_turn.stream(): |
| interrupt_event_count += 1 |
| if event.method == "item/agentMessage/delta": |
| interrupt_deltas.append(event.payload.delta) |
| continue |
| if event.method == "turn/completed": |
| interrupt_completed_status = event.payload.turn.status.value |
|
|
| if interrupt_completed_status is None: |
| raise RuntimeError("stream ended without turn/completed") |
| interrupt_preview = "".join(interrupt_deltas).strip() |
|
|
| print("steer.result:", steer_result.model_dump(mode="json", by_alias=True)) |
| print("steer.final.status:", steer_completed_status) |
| print("steer.events.count:", steer_event_count) |
| print("steer.assistant.preview:", steer_preview) |
| print("interrupt.result:", interrupt_result.model_dump(mode="json", by_alias=True)) |
| print("interrupt.final.status:", interrupt_completed_status) |
| print("interrupt.events.count:", interrupt_event_count) |
| print("interrupt.assistant.preview:", interrupt_preview) |
|
|