Focus Python SDK approval mode

Default high-level thread and turn starts to auto-review, keep deny_all as the explicit opt-out, and remove the generated AskForApproval alias customization.

Co-authored-by: Codex <noreply@openai.com>

sdk/python/examples/12_turn_params_kitchen_sink/async.py

@@ -18,7 +18,6 @@ ensure_local_sdk_src()
 import asyncio
 
 from openai_codex import (
-    ApprovalMode,
     AsyncCodex,
     TextInput,
 )
@@ -46,18 +45,14 @@ PROMPT = (
     "Analyze a safe rollout plan for enabling a feature flag in production. "
     "Return JSON matching the requested schema."
 )
-APPROVAL_MODE = ApprovalMode.auto_review
 
 
 async def main() -> None:
     async with AsyncCodex(config=runtime_config()) as codex:
-        thread = await codex.thread_start(
-            model="gpt-5.4", config={"model_reasoning_effort": "high"}
-        )
+        thread = await codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
 
         turn = await thread.turn(
             TextInput(PROMPT),
-            approval_mode=APPROVAL_MODE,
             output_schema=OUTPUT_SCHEMA,
             personality=Personality.pragmatic,
             summary=SUMMARY,
@@ -69,16 +64,12 @@ async def main() -> None:
         try:
             structured = json.loads(structured_text)
         except json.JSONDecodeError as exc:
-            raise RuntimeError(
-                f"Expected JSON matching OUTPUT_SCHEMA, got: {structured_text!r}"
-            ) from exc
+            raise RuntimeError(f"Expected JSON matching OUTPUT_SCHEMA, got: {structured_text!r}") from exc
 
         summary = structured.get("summary")
         actions = structured.get("actions")
-        if (
-            not isinstance(summary, str)
-            or not isinstance(actions, list)
-            or not all(isinstance(action, str) for action in actions)
+        if not isinstance(summary, str) or not isinstance(actions, list) or not all(
+            isinstance(action, str) for action in actions
         ):
             raise RuntimeError(
                 f"Expected structured output with string summary/actions, got: {structured!r}"
@@ -89,9 +80,7 @@ async def main() -> None:
         print("actions:")
         for action in actions:
             print("-", action)
-        print(
-            "Items:", 0 if persisted_turn is None else len(persisted_turn.items or [])
-        )
+        print("Items:", 0 if persisted_turn is None else len(persisted_turn.items or []))
 
 
 if __name__ == "__main__":

sdk/python/examples/12_turn_params_kitchen_sink/sync.py

@@ -16,7 +16,6 @@ from _bootstrap import (
 ensure_local_sdk_src()
 
 from openai_codex import (
-    ApprovalMode,
     Codex,
     TextInput,
 )
@@ -44,16 +43,12 @@ PROMPT = (
     "Analyze a safe rollout plan for enabling a feature flag in production. "
     "Return JSON matching the requested schema."
 )
-APPROVAL_MODE = ApprovalMode.auto_review
 
 with Codex(config=runtime_config()) as codex:
-    thread = codex.thread_start(
-        model="gpt-5.4", config={"model_reasoning_effort": "high"}
-    )
+    thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
 
     turn = thread.turn(
         TextInput(PROMPT),
-        approval_mode=APPROVAL_MODE,
         output_schema=OUTPUT_SCHEMA,
         personality=Personality.pragmatic,
         summary=SUMMARY,
@@ -65,20 +60,14 @@ with Codex(config=runtime_config()) as codex:
     try:
         structured = json.loads(structured_text)
     except json.JSONDecodeError as exc:
-        raise RuntimeError(
-            f"Expected JSON matching OUTPUT_SCHEMA, got: {structured_text!r}"
-        ) from exc
+        raise RuntimeError(f"Expected JSON matching OUTPUT_SCHEMA, got: {structured_text!r}") from exc
 
     summary = structured.get("summary")
     actions = structured.get("actions")
-    if (
-        not isinstance(summary, str)
-        or not isinstance(actions, list)
-        or not all(isinstance(action, str) for action in actions)
+    if not isinstance(summary, str) or not isinstance(actions, list) or not all(
+        isinstance(action, str) for action in actions
     ):
-        raise RuntimeError(
-            f"Expected structured output with string summary/actions, got: {structured!r}"
-        )
+        raise RuntimeError(f"Expected structured output with string summary/actions, got: {structured!r}")
 
     print("Status:", result.status)
     print("summary:", summary)

sdk/python/examples/13_model_select_and_turn_params/async.py

@@ -5,19 +5,13 @@ _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 (
-    assistant_text_from_turn,
-    ensure_local_sdk_src,
-    find_turn_by_id,
-    runtime_config,
-)
+from _bootstrap import assistant_text_from_turn, ensure_local_sdk_src, find_turn_by_id, runtime_config
 
 ensure_local_sdk_src()
 
 import asyncio
 
 from openai_codex import (
-    ApprovalMode,
     AsyncCodex,
     TextInput,
 )
@@ -41,16 +35,11 @@ PREFERRED_MODEL = "gpt-5.4"
 
 def _pick_highest_model(models):
     visible = [m for m in models if not m.hidden] or models
-    preferred = next(
-        (m for m in visible if m.model == PREFERRED_MODEL or m.id == PREFERRED_MODEL),
-        None,
-    )
+    preferred = next((m for m in visible if m.model == PREFERRED_MODEL or m.id == PREFERRED_MODEL), None)
     if preferred is not None:
         return preferred
     known_names = {m.id for m in visible} | {m.model for m in visible}
-    top_candidates = [
-        m for m in visible if not (m.upgrade and m.upgrade in known_names)
-    ]
+    top_candidates = [m for m in visible if not (m.upgrade and m.upgrade in known_names)]
     pool = top_candidates or visible
     return max(pool, key=lambda m: (m.model, m.id))
 
@@ -85,7 +74,6 @@ SANDBOX_POLICY = SandboxPolicy.model_validate(
         "access": {"type": "fullAccess"},
     }
 )
-APPROVAL_MODE = ApprovalMode.auto_review
 
 
 async def main() -> None:
@@ -112,16 +100,10 @@ async def main() -> None:
         first_persisted_turn = find_turn_by_id(persisted.thread.turns, first.id)
 
         print("agent.message:", assistant_text_from_turn(first_persisted_turn))
-        print(
-            "items:",
-            0
-            if first_persisted_turn is None
-            else len(first_persisted_turn.items or []),
-        )
+        print("items:", 0 if first_persisted_turn is None else len(first_persisted_turn.items or []))
 
         second_turn = await thread.turn(
             TextInput("Return JSON for a safe feature-flag rollout plan."),
-            approval_mode=APPROVAL_MODE,
             cwd=str(Path.cwd()),
             effort=selected_effort,
             model=selected_model.model,
@@ -135,12 +117,7 @@ async def main() -> None:
         second_persisted_turn = find_turn_by_id(persisted.thread.turns, second.id)
 
         print("agent.message.params:", assistant_text_from_turn(second_persisted_turn))
-        print(
-            "items.params:",
-            0
-            if second_persisted_turn is None
-            else len(second_persisted_turn.items or []),
-        )
+        print("items.params:", 0 if second_persisted_turn is None else len(second_persisted_turn.items or []))
 
 
 if __name__ == "__main__":

sdk/python/examples/13_model_select_and_turn_params/sync.py

@@ -5,17 +5,11 @@ _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 (
-    assistant_text_from_turn,
-    ensure_local_sdk_src,
-    find_turn_by_id,
-    runtime_config,
-)
+from _bootstrap import assistant_text_from_turn, ensure_local_sdk_src, find_turn_by_id, runtime_config
 
 ensure_local_sdk_src()
 
 from openai_codex import (
-    ApprovalMode,
     Codex,
     TextInput,
 )
@@ -39,16 +33,11 @@ PREFERRED_MODEL = "gpt-5.4"
 
 def _pick_highest_model(models):
     visible = [m for m in models if not m.hidden] or models
-    preferred = next(
-        (m for m in visible if m.model == PREFERRED_MODEL or m.id == PREFERRED_MODEL),
-        None,
-    )
+    preferred = next((m for m in visible if m.model == PREFERRED_MODEL or m.id == PREFERRED_MODEL), None)
     if preferred is not None:
         return preferred
     known_names = {m.id for m in visible} | {m.model for m in visible}
-    top_candidates = [
-        m for m in visible if not (m.upgrade and m.upgrade in known_names)
-    ]
+    top_candidates = [m for m in visible if not (m.upgrade and m.upgrade in known_names)]
     pool = top_candidates or visible
     return max(pool, key=lambda m: (m.model, m.id))
 
@@ -83,7 +72,6 @@ SANDBOX_POLICY = SandboxPolicy.model_validate(
         "access": {"type": "fullAccess"},
     }
 )
-APPROVAL_MODE = ApprovalMode.auto_review
 
 
 with Codex(config=runtime_config()) as codex:
@@ -112,7 +100,6 @@ with Codex(config=runtime_config()) as codex:
 
     second = thread.turn(
         TextInput("Return JSON for a safe feature-flag rollout plan."),
-        approval_mode=APPROVAL_MODE,
         cwd=str(Path.cwd()),
         effort=selected_effort,
         model=selected_model.model,