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## Why The SDK should publish under the reserved public distribution name `openai-codex`, and its import module should match that name in the Python style. Since package names can contain hyphens but import modules cannot, the public import path becomes `openai_codex`. Keeping the rename separate from the public API surface change makes the naming change easy to review and avoids mixing it with API curation. ## What - Rename the SDK distribution from `openai-codex-app-server-sdk` to `openai-codex`. - Rename the import package from `codex_app_server` to `openai_codex`. - Keep the runtime wheel as the separate `openai-codex-cli-bin` dependency. - Update docs, examples, notebooks, artifact scripts, lockfile metadata, and tests for the new distribution/module names. ## 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. This PR `[5/8]` Rename Python SDK package to `openai-codex` 6. #21910 `[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 - Updated package metadata and public API tests to assert the distribution and import names. Co-authored-by: Codex <noreply@openai.com>
42 lines
1007 B
Python
42 lines
1007 B
Python
from __future__ import annotations
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import random
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import time
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from typing import Callable, TypeVar
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from .errors import is_retryable_error
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T = TypeVar("T")
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def retry_on_overload(
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op: Callable[[], T],
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*,
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max_attempts: int = 3,
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initial_delay_s: float = 0.25,
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max_delay_s: float = 2.0,
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jitter_ratio: float = 0.2,
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) -> T:
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"""Retry helper for transient server-overload errors."""
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if max_attempts < 1:
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raise ValueError("max_attempts must be >= 1")
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delay = initial_delay_s
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attempt = 0
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while True:
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attempt += 1
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try:
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return op()
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except Exception as exc:
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if attempt >= max_attempts:
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raise
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if not is_retryable_error(exc):
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raise
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jitter = delay * jitter_ratio
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sleep_for = min(max_delay_s, delay) + random.uniform(-jitter, jitter)
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if sleep_for > 0:
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time.sleep(sleep_for)
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delay = min(max_delay_s, delay * 2)
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