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Handle blank Codex transport errors
This commit is contained in:
parent
9b9b48f1ea
commit
18567daaa0
@ -84,9 +84,21 @@ class OpenAICodexProvider(LLMProvider):
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)
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return LLMResponse(content=content, tool_calls=tool_calls, finish_reason=finish_reason)
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except Exception as e:
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msg = f"Error calling Codex: {e}"
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retry_after = getattr(e, "retry_after", None) or self._extract_retry_after(msg)
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return LLMResponse(content=msg, finish_reason="error", retry_after=retry_after)
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response = _codex_error_response(e)
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exc_type = "CodexHTTPError" if isinstance(e, _CodexHTTPError) else type(e).__name__
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logger.warning(
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"Codex API request failed: type={} kind={} retryable={} status={} "
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"error_type={} error_code={} retry_after={} summary={}",
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exc_type,
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response.error_kind,
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response.error_should_retry,
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response.error_status_code,
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response.error_type,
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response.error_code,
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response.retry_after,
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_codex_log_summary(exc_type, response),
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)
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return response
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async def chat(
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self, messages: list[dict[str, Any]], tools: list[dict[str, Any]] | None = None,
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@ -139,9 +151,22 @@ def _build_headers(account_id: str, token: str) -> dict[str, str]:
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class _CodexHTTPError(RuntimeError):
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def __init__(self, message: str, retry_after: float | None = None):
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def __init__(
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self,
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message: str,
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*,
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status_code: int | None = None,
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retry_after: float | None = None,
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error_type: str | None = None,
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error_code: str | None = None,
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should_retry: bool | None = None,
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):
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super().__init__(message)
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self.status_code = status_code
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self.retry_after = retry_after
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self.error_type = error_type
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self.error_code = error_code
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self.should_retry = should_retry
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async def _request_codex(
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@ -156,10 +181,16 @@ async def _request_codex(
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async with client.stream("POST", url, headers=headers, json=body) as response:
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if response.status_code != 200:
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text = await response.aread()
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raw = text.decode("utf-8", "ignore")
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retry_after = LLMProvider._extract_retry_after_from_headers(response.headers)
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error_type, error_code = LLMProvider._extract_error_type_code(raw)
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raise _CodexHTTPError(
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_friendly_error(response.status_code, text.decode("utf-8", "ignore")),
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_friendly_error(response.status_code, raw),
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status_code=response.status_code,
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retry_after=retry_after,
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error_type=error_type,
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error_code=error_code,
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should_retry=_should_retry_status(response.status_code, error_type, error_code, raw),
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)
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return await consume_sse(response, on_content_delta, on_tool_call_delta)
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@ -170,6 +201,94 @@ def _prompt_cache_key(messages: list[dict[str, Any]]) -> str:
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def _friendly_error(status_code: int, raw: str) -> str:
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_ = raw
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if status_code == 429:
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return "ChatGPT usage quota exceeded or rate limit triggered. Please try again later."
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return f"HTTP {status_code}: {raw}"
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return f"HTTP {status_code}: Codex API request failed"
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def _codex_error_response(exc: Exception) -> LLMResponse:
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"""Convert Codex transport/API failures into actionable, retryable metadata."""
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exc_type = "CodexHTTPError" if isinstance(exc, _CodexHTTPError) else type(exc).__name__
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detail = str(exc).strip()
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status_code = getattr(exc, "status_code", None)
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error_kind: str | None = None
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default_detail: str | None = None
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should_retry: bool | None = getattr(exc, "should_retry", None)
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if isinstance(exc, (httpx.TimeoutException, asyncio.TimeoutError)):
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error_kind = "timeout"
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default_detail = "timed out waiting for response"
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should_retry = True if should_retry is None else should_retry
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elif isinstance(exc, httpx.RemoteProtocolError):
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error_kind = "connection"
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default_detail = "network protocol error while reading response"
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should_retry = True if should_retry is None else should_retry
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elif isinstance(exc, (httpx.NetworkError, httpx.TransportError)):
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error_kind = "connection"
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default_detail = "network connection failed"
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should_retry = True if should_retry is None else should_retry
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elif isinstance(exc, _CodexHTTPError):
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error_kind = "http"
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default_detail = "HTTP request failed"
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if status_code is not None and should_retry is None:
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retry_content = None if int(status_code) == 429 and isinstance(exc, _CodexHTTPError) else detail
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should_retry = _should_retry_status(
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int(status_code),
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getattr(exc, "error_type", None),
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getattr(exc, "error_code", None),
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retry_content,
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)
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detail = detail or default_detail or "unexpected error"
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message = f"Error calling Codex ({exc_type}): {detail}"
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retry_after = getattr(exc, "retry_after", None) or LLMProvider._extract_retry_after(message)
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return LLMResponse(
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content=message,
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finish_reason="error",
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retry_after=retry_after,
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error_status_code=int(status_code) if status_code is not None else None,
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error_kind=error_kind,
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error_type=getattr(exc, "error_type", None),
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error_code=getattr(exc, "error_code", None),
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error_retry_after_s=retry_after,
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error_should_retry=should_retry,
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)
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def _codex_log_summary(exc_type: str, response: LLMResponse) -> str:
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"""Return a bounded diagnostic summary without request body or raw upstream payload."""
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if response.error_status_code is not None:
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parts = [f"HTTP {response.error_status_code}"]
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if response.error_type:
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parts.append(f"type={response.error_type}")
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if response.error_code:
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parts.append(f"code={response.error_code}")
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return " ".join(parts)
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kind = (response.error_kind or "").strip()
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if kind:
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return f"{exc_type} {kind}"
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return exc_type
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def _should_retry_status(
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status_code: int,
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error_type: str | None,
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error_code: str | None,
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content: str | None,
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) -> bool:
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if status_code == 429:
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return LLMProvider._is_retryable_429_response(
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LLMResponse(
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content=content or "",
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finish_reason="error",
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error_status_code=status_code,
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error_type=error_type,
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error_code=error_code,
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)
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)
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return status_code in LLMProvider._RETRYABLE_STATUS_CODES or status_code >= 500
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@ -1,20 +1,105 @@
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from __future__ import annotations
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import io
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from types import SimpleNamespace
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from typing import Any
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import httpx
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import pytest
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from loguru import logger
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from nanobot.providers.openai_codex_provider import OpenAICodexProvider
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import nanobot.providers.base as provider_base
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from nanobot.providers.openai_codex_provider import (
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OpenAICodexProvider,
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_codex_error_response,
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_CodexHTTPError,
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_friendly_error,
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_request_codex,
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_should_retry_status,
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)
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def _mock_codex_token(monkeypatch: pytest.MonkeyPatch) -> None:
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monkeypatch.setattr(
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"nanobot.providers.openai_codex_provider.get_codex_token",
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lambda: SimpleNamespace(account_id="acct", access="token"),
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)
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class _WarningCaptureLogger:
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def __init__(self) -> None:
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self.calls: list[tuple[str, tuple[Any, ...]]] = []
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def warning(self, *args: Any, **kwargs: Any) -> None:
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self.calls.append((args[0], args[1:]))
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def exception(self, message: str, *args: Any, **kwargs: Any) -> None:
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raise AssertionError("Codex diagnostics must not log exception tracebacks")
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def _capture_codex_warnings(monkeypatch: pytest.MonkeyPatch) -> _WarningCaptureLogger:
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capture = _WarningCaptureLogger()
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monkeypatch.setattr("nanobot.providers.openai_codex_provider.logger", capture)
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return capture
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def test_codex_blank_timeout_root_cause_reproduction() -> None:
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"""Document why upstream produced a bare ``Error calling Codex:`` message."""
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exc = httpx.ReadTimeout("")
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legacy_content = f"Error calling Codex: {exc}"
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assert str(exc) == ""
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assert legacy_content == "Error calling Codex: "
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legacy_response = provider_base.LLMResponse(content=legacy_content, finish_reason="error")
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assert legacy_response.error_kind is None
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assert legacy_response.error_should_retry is None
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def test_codex_http_friendly_error_omits_raw_body() -> None:
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raw = "raw upstream body with PRIVATE PROMPT MUST NOT APPEAR"
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message = _friendly_error(500, raw)
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assert message == "HTTP 500: Codex API request failed"
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assert "PRIVATE PROMPT MUST NOT APPEAR" not in message
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@pytest.mark.asyncio
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async def test_codex_request_non_200_populates_http_metadata(monkeypatch) -> None:
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original_client = httpx.AsyncClient
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def handler(request: httpx.Request) -> httpx.Response:
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return httpx.Response(
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429,
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headers={"retry-after": "2"},
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json={"error": {"type": "rate_limit_exceeded", "code": "rate_limit_exceeded"}},
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request=request,
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)
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def fake_client(*, timeout: float, verify: bool) -> httpx.AsyncClient:
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assert timeout == 60.0
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assert verify is True
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return original_client(transport=httpx.MockTransport(handler), timeout=timeout)
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monkeypatch.setattr("nanobot.providers.openai_codex_provider.httpx.AsyncClient", fake_client)
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with pytest.raises(_CodexHTTPError) as caught:
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await _request_codex("https://codex.example/responses", {}, {"input": []}, verify=True)
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error = caught.value
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assert str(error) == "ChatGPT usage quota exceeded or rate limit triggered. Please try again later."
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assert error.status_code == 429
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assert error.retry_after == 2.0
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assert error.error_type == "rate_limit_exceeded"
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assert error.error_code == "rate_limit_exceeded"
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assert error.should_retry is True
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@pytest.mark.asyncio
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async def test_codex_prompt_cache_key_uses_stable_conversation_prefix(monkeypatch) -> None:
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bodies: list[dict] = []
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monkeypatch.setattr(
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"nanobot.providers.openai_codex_provider.get_codex_token",
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lambda: SimpleNamespace(account_id="acct", access="token"),
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)
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_mock_codex_token(monkeypatch)
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async def fake_request(
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url,
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@ -56,3 +141,238 @@ async def test_codex_prompt_cache_key_uses_stable_conversation_prefix(monkeypatc
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assert bodies[0]["prompt_cache_key"] == bodies[1]["prompt_cache_key"]
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assert bodies[0]["prompt_cache_key"] != bodies[2]["prompt_cache_key"]
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@pytest.mark.asyncio
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async def test_codex_timeout_error_is_typed_and_retryable(monkeypatch) -> None:
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_mock_codex_token(monkeypatch)
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async def fake_request(*args, **kwargs):
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raise httpx.ReadTimeout("")
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monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
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provider = OpenAICodexProvider()
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response = await provider.chat([{"role": "user", "content": "hello"}])
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assert response.finish_reason == "error"
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assert response.content == (
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"Error calling Codex (ReadTimeout): timed out waiting for response"
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)
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assert response.error_kind == "timeout"
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assert response.error_should_retry is True
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@pytest.mark.asyncio
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async def test_codex_timeout_error_writes_diagnostic_log(monkeypatch) -> None:
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log_capture = _capture_codex_warnings(monkeypatch)
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_mock_codex_token(monkeypatch)
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async def fake_request(*args: Any, **kwargs: Any):
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raise httpx.ReadTimeout("")
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monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
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provider = OpenAICodexProvider()
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response = await provider.chat([{"role": "user", "content": "hello"}])
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assert response.content == (
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"Error calling Codex (ReadTimeout): timed out waiting for response"
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)
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assert log_capture.calls == [
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(
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"Codex API request failed: type={} kind={} retryable={} status={} "
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"error_type={} error_code={} retry_after={} summary={}",
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(
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"ReadTimeout",
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"timeout",
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True,
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None,
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None,
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None,
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None,
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"ReadTimeout timeout",
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),
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)
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]
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@pytest.mark.asyncio
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async def test_codex_diagnostic_log_omits_prompt_content(monkeypatch) -> None:
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sink = io.StringIO()
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logger.enable("nanobot")
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handler_id = logger.add(sink, format="{message}", backtrace=True, diagnose=True)
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try:
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_mock_codex_token(monkeypatch)
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async def fake_request(*args: Any, **kwargs: Any):
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raise httpx.ReadTimeout("")
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monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
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provider = OpenAICodexProvider()
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response = await provider.chat(
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[{"role": "user", "content": "PRIVATE PROMPT MUST NOT APPEAR"}]
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)
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finally:
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logger.remove(handler_id)
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log_text = sink.getvalue()
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assert response.error_kind == "timeout"
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assert "Codex API request failed" in log_text
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assert "ReadTimeout" in log_text
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assert "PRIVATE PROMPT MUST NOT APPEAR" not in log_text
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@pytest.mark.asyncio
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async def test_codex_retry_uses_structured_timeout_metadata(monkeypatch) -> None:
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calls = 0
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delays: list[float] = []
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_mock_codex_token(monkeypatch)
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async def fake_request(*args, **kwargs):
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nonlocal calls
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calls += 1
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if calls == 1:
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raise httpx.ReadTimeout("")
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return "ok", [], "stop"
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async def fake_sleep(delay: float) -> None:
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delays.append(delay)
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monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
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monkeypatch.setattr(provider_base.asyncio, "sleep", fake_sleep)
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provider = OpenAICodexProvider()
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response = await provider.chat_with_retry(messages=[{"role": "user", "content": "hello"}])
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assert response.content == "ok"
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assert calls == 2
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assert delays == [1]
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@pytest.mark.asyncio
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async def test_codex_http_error_preserves_status_and_retry_after(monkeypatch) -> None:
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_mock_codex_token(monkeypatch)
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async def fake_request(*args, **kwargs):
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raise _CodexHTTPError(
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"HTTP 503: backend unavailable",
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status_code=503,
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retry_after=2.5,
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error_type="server_error",
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error_code="overloaded",
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)
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monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
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provider = OpenAICodexProvider()
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response = await provider.chat([{"role": "user", "content": "hello"}])
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assert response.finish_reason == "error"
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assert response.content == "Error calling Codex (CodexHTTPError): HTTP 503: backend unavailable"
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assert response.error_status_code == 503
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assert response.error_kind == "http"
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assert response.error_type == "server_error"
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assert response.error_code == "overloaded"
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assert response.retry_after == 2.5
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assert response.error_should_retry is True
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@pytest.mark.asyncio
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async def test_codex_http_diagnostic_log_omits_raw_body(monkeypatch) -> None:
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log_capture = _capture_codex_warnings(monkeypatch)
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_mock_codex_token(monkeypatch)
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async def fake_request(*args: Any, **kwargs: Any):
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raise _CodexHTTPError(
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_friendly_error(500, "raw upstream body with PRIVATE PROMPT MUST NOT APPEAR"),
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status_code=500,
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error_type="server_error",
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error_code="overloaded",
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)
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monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
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provider = OpenAICodexProvider()
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response = await provider.chat([{"role": "user", "content": "hello"}])
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assert response.content == "Error calling Codex (CodexHTTPError): HTTP 500: Codex API request failed"
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assert log_capture.calls == [
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(
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"Codex API request failed: type={} kind={} retryable={} status={} "
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"error_type={} error_code={} retry_after={} summary={}",
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(
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"CodexHTTPError",
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"http",
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True,
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500,
|
||||
"server_error",
|
||||
"overloaded",
|
||||
None,
|
||||
"HTTP 500 type=server_error code=overloaded",
|
||||
),
|
||||
)
|
||||
]
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@pytest.mark.parametrize(
|
||||
("error_type", "error_code", "expected_retry"),
|
||||
[
|
||||
("rate_limit_exceeded", "rate_limit_exceeded", True),
|
||||
("insufficient_quota", "insufficient_quota", False),
|
||||
],
|
||||
)
|
||||
async def test_codex_429_preserves_retry_semantics(
|
||||
monkeypatch,
|
||||
error_type: str,
|
||||
error_code: str,
|
||||
expected_retry: bool,
|
||||
) -> None:
|
||||
_mock_codex_token(monkeypatch)
|
||||
|
||||
async def fake_request(*args: Any, **kwargs: Any):
|
||||
raise _CodexHTTPError(
|
||||
"ChatGPT usage quota exceeded or rate limit triggered. Please try again later.",
|
||||
status_code=429,
|
||||
error_type=error_type,
|
||||
error_code=error_code,
|
||||
should_retry=expected_retry,
|
||||
)
|
||||
|
||||
monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
|
||||
|
||||
provider = OpenAICodexProvider()
|
||||
response = await provider.chat([{"role": "user", "content": "hello"}])
|
||||
|
||||
assert response.error_status_code == 429
|
||||
assert response.error_type == error_type
|
||||
assert response.error_code == error_code
|
||||
assert response.error_should_retry is expected_retry
|
||||
|
||||
|
||||
def test_codex_429_friendly_message_fallback_does_not_override_unknown_retry() -> None:
|
||||
response = _codex_error_response(
|
||||
_CodexHTTPError(_friendly_error(429, ""), status_code=429)
|
||||
)
|
||||
|
||||
assert response.error_status_code == 429
|
||||
assert response.error_should_retry is True
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("raw", "expected_retry"),
|
||||
[
|
||||
('{"error":{"type":"rate_limit_exceeded","code":"rate_limit_exceeded"}}', True),
|
||||
('{"error":{"type":"insufficient_quota","code":"insufficient_quota"}}', False),
|
||||
],
|
||||
)
|
||||
def test_codex_429_classification_uses_raw_error_semantics(
|
||||
raw: str,
|
||||
expected_retry: bool,
|
||||
) -> None:
|
||||
error_type, error_code = provider_base.LLMProvider._extract_error_type_code(raw)
|
||||
|
||||
assert _should_retry_status(429, error_type, error_code, raw) is expected_retry
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user