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https://github.com/openai/codex.git
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## Why The high-level SDK should expose the approval behavior it actually supports instead of leaking generated app-server routing fields. New work should have two clear choices: default auto review, or explicitly deny escalated permission requests. Existing threads and subsequent turns should preserve their current approval behavior unless the caller passes an override. ## What - Add the public `ApprovalMode` enum with `auto_review` and `deny_all`. - Default new thread creation to `ApprovalMode.auto_review`. - Preserve existing approval settings by default for resume, fork, run, and turn helpers. - Remove raw `approval_policy` / `approvals_reviewer` kwargs from high-level SDK wrappers. - Update generated wrapper output, docs, examples, notebooks, and tests for the high-level approval mode API. ## 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. #21905 `[5/8]` Rename Python SDK package to `openai-codex` 6. This PR `[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 - Added approval-mode mapping/default tests for new threads, existing threads, forks, resumes, and subsequent turns. --------- Co-authored-by: Codex <noreply@openai.com>
78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
import json
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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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)
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ensure_local_sdk_src()
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from openai_codex import (
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Codex,
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TextInput,
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)
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from openai_codex.types import (
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Personality,
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ReasoningSummary,
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)
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OUTPUT_SCHEMA = {
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"type": "object",
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"properties": {
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"summary": {"type": "string"},
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"actions": {
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"type": "array",
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"items": {"type": "string"},
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},
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},
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"required": ["summary", "actions"],
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"additionalProperties": False,
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}
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SUMMARY = ReasoningSummary.model_validate("concise")
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PROMPT = (
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"Analyze a safe rollout plan for enabling a feature flag in production. "
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"Return JSON matching the requested schema."
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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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turn = thread.turn(
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TextInput(PROMPT),
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output_schema=OUTPUT_SCHEMA,
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personality=Personality.pragmatic,
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summary=SUMMARY,
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)
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result = turn.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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structured_text = assistant_text_from_turn(persisted_turn).strip()
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try:
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structured = json.loads(structured_text)
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except json.JSONDecodeError as exc:
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raise RuntimeError(f"Expected JSON matching OUTPUT_SCHEMA, got: {structured_text!r}") from exc
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summary = structured.get("summary")
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actions = structured.get("actions")
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if not isinstance(summary, str) or not isinstance(actions, list) or not all(
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isinstance(action, str) for action in actions
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):
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raise RuntimeError(f"Expected structured output with string summary/actions, got: {structured!r}")
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print("Status:", result.status)
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print("summary:", summary)
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print("actions:")
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for action in actions:
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print("-", action)
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print("Items:", 0 if persisted_turn is None else len(persisted_turn.items or []))
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