Files
codex/sdk/python/examples/12_turn_params_kitchen_sink/sync.py
Shaqayeq d864b8c836 python-sdk: expose canonical app-server types (2026-03-16)
Remove the SDK alias/result layers so the wrapper surface returns canonical generated app-server models directly.

- delete public type alias modules and regenerate v2_all.py against current schema
- return InitializeResponse from metadata and generated Turn from run()
- update docs, examples, notebook, and tests to use canonical generated models and repo-only text extraction helpers

Validation:
- PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests
- GH_TOKEN="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" RUN_REAL_CODEX_TESTS=1 PYTHONPATH=sdk/python/src python3 -m pytest sdk/python/tests -rs

Co-authored-by: Codex <noreply@openai.com>
2026-03-16 14:04:55 -07:00

75 lines
1.9 KiB
Python

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 (
assistant_text_from_turn,
ensure_local_sdk_src,
find_turn_by_id,
runtime_config,
)
ensure_local_sdk_src()
from codex_app_server import (
AskForApproval,
Codex,
Personality,
ReasoningEffort,
ReasoningSummary,
SandboxPolicy,
TextInput,
)
OUTPUT_SCHEMA = {
"type": "object",
"properties": {
"summary": {"type": "string"},
"actions": {
"type": "array",
"items": {"type": "string"},
},
},
"required": ["summary", "actions"],
"additionalProperties": False,
}
SANDBOX_POLICY = SandboxPolicy.model_validate(
{
"type": "readOnly",
"access": {"type": "fullAccess"},
}
)
SUMMARY = ReasoningSummary.model_validate("concise")
PROMPT = (
"Analyze a safe rollout plan for enabling a feature flag in production. "
"Return JSON matching the requested schema."
)
APPROVAL_POLICY = AskForApproval.model_validate("never")
with Codex(config=runtime_config()) as codex:
thread = codex.thread_start(model="gpt-5.4", config={"model_reasoning_effort": "high"})
turn = thread.turn(
TextInput(PROMPT),
approval_policy=APPROVAL_POLICY,
cwd=str(Path.cwd()),
effort=ReasoningEffort.medium,
model="gpt-5.4",
output_schema=OUTPUT_SCHEMA,
personality=Personality.pragmatic,
sandbox_policy=SANDBOX_POLICY,
summary=SUMMARY,
)
result = turn.run()
persisted = thread.read(include_turns=True)
persisted_turn = find_turn_by_id(persisted.thread.turns, result.id)
print("Status:", result.status)
print("Text:", assistant_text_from_turn(persisted_turn))
print("Items:", 0 if persisted_turn is None else len(persisted_turn.items or []))