Handle blank Codex transport errors

This commit is contained in:
EunHyunsu 2026-05-26 21:27:54 +09:00 committed by Xubin Ren
parent 9b9b48f1ea
commit 18567daaa0
2 changed files with 450 additions and 11 deletions

View File

@ -84,9 +84,21 @@ class OpenAICodexProvider(LLMProvider):
)
return LLMResponse(content=content, tool_calls=tool_calls, finish_reason=finish_reason)
except Exception as e:
msg = f"Error calling Codex: {e}"
retry_after = getattr(e, "retry_after", None) or self._extract_retry_after(msg)
return LLMResponse(content=msg, finish_reason="error", retry_after=retry_after)
response = _codex_error_response(e)
exc_type = "CodexHTTPError" if isinstance(e, _CodexHTTPError) else type(e).__name__
logger.warning(
"Codex API request failed: type={} kind={} retryable={} status={} "
"error_type={} error_code={} retry_after={} summary={}",
exc_type,
response.error_kind,
response.error_should_retry,
response.error_status_code,
response.error_type,
response.error_code,
response.retry_after,
_codex_log_summary(exc_type, response),
)
return response
async def chat(
self, messages: list[dict[str, Any]], tools: list[dict[str, Any]] | None = None,
@ -139,9 +151,22 @@ def _build_headers(account_id: str, token: str) -> dict[str, str]:
class _CodexHTTPError(RuntimeError):
def __init__(self, message: str, retry_after: float | None = None):
def __init__(
self,
message: str,
*,
status_code: int | None = None,
retry_after: float | None = None,
error_type: str | None = None,
error_code: str | None = None,
should_retry: bool | None = None,
):
super().__init__(message)
self.status_code = status_code
self.retry_after = retry_after
self.error_type = error_type
self.error_code = error_code
self.should_retry = should_retry
async def _request_codex(
@ -156,10 +181,16 @@ async def _request_codex(
async with client.stream("POST", url, headers=headers, json=body) as response:
if response.status_code != 200:
text = await response.aread()
raw = text.decode("utf-8", "ignore")
retry_after = LLMProvider._extract_retry_after_from_headers(response.headers)
error_type, error_code = LLMProvider._extract_error_type_code(raw)
raise _CodexHTTPError(
_friendly_error(response.status_code, text.decode("utf-8", "ignore")),
_friendly_error(response.status_code, raw),
status_code=response.status_code,
retry_after=retry_after,
error_type=error_type,
error_code=error_code,
should_retry=_should_retry_status(response.status_code, error_type, error_code, raw),
)
return await consume_sse(response, on_content_delta, on_tool_call_delta)
@ -170,6 +201,94 @@ def _prompt_cache_key(messages: list[dict[str, Any]]) -> str:
def _friendly_error(status_code: int, raw: str) -> str:
_ = raw
if status_code == 429:
return "ChatGPT usage quota exceeded or rate limit triggered. Please try again later."
return f"HTTP {status_code}: {raw}"
return f"HTTP {status_code}: Codex API request failed"
def _codex_error_response(exc: Exception) -> LLMResponse:
"""Convert Codex transport/API failures into actionable, retryable metadata."""
exc_type = "CodexHTTPError" if isinstance(exc, _CodexHTTPError) else type(exc).__name__
detail = str(exc).strip()
status_code = getattr(exc, "status_code", None)
error_kind: str | None = None
default_detail: str | None = None
should_retry: bool | None = getattr(exc, "should_retry", None)
if isinstance(exc, (httpx.TimeoutException, asyncio.TimeoutError)):
error_kind = "timeout"
default_detail = "timed out waiting for response"
should_retry = True if should_retry is None else should_retry
elif isinstance(exc, httpx.RemoteProtocolError):
error_kind = "connection"
default_detail = "network protocol error while reading response"
should_retry = True if should_retry is None else should_retry
elif isinstance(exc, (httpx.NetworkError, httpx.TransportError)):
error_kind = "connection"
default_detail = "network connection failed"
should_retry = True if should_retry is None else should_retry
elif isinstance(exc, _CodexHTTPError):
error_kind = "http"
default_detail = "HTTP request failed"
if status_code is not None and should_retry is None:
retry_content = None if int(status_code) == 429 and isinstance(exc, _CodexHTTPError) else detail
should_retry = _should_retry_status(
int(status_code),
getattr(exc, "error_type", None),
getattr(exc, "error_code", None),
retry_content,
)
detail = detail or default_detail or "unexpected error"
message = f"Error calling Codex ({exc_type}): {detail}"
retry_after = getattr(exc, "retry_after", None) or LLMProvider._extract_retry_after(message)
return LLMResponse(
content=message,
finish_reason="error",
retry_after=retry_after,
error_status_code=int(status_code) if status_code is not None else None,
error_kind=error_kind,
error_type=getattr(exc, "error_type", None),
error_code=getattr(exc, "error_code", None),
error_retry_after_s=retry_after,
error_should_retry=should_retry,
)
def _codex_log_summary(exc_type: str, response: LLMResponse) -> str:
"""Return a bounded diagnostic summary without request body or raw upstream payload."""
if response.error_status_code is not None:
parts = [f"HTTP {response.error_status_code}"]
if response.error_type:
parts.append(f"type={response.error_type}")
if response.error_code:
parts.append(f"code={response.error_code}")
return " ".join(parts)
kind = (response.error_kind or "").strip()
if kind:
return f"{exc_type} {kind}"
return exc_type
def _should_retry_status(
status_code: int,
error_type: str | None,
error_code: str | None,
content: str | None,
) -> bool:
if status_code == 429:
return LLMProvider._is_retryable_429_response(
LLMResponse(
content=content or "",
finish_reason="error",
error_status_code=status_code,
error_type=error_type,
error_code=error_code,
)
)
return status_code in LLMProvider._RETRYABLE_STATUS_CODES or status_code >= 500

View File

@ -1,20 +1,105 @@
from __future__ import annotations
import io
from types import SimpleNamespace
from typing import Any
import httpx
import pytest
from loguru import logger
from nanobot.providers.openai_codex_provider import OpenAICodexProvider
import nanobot.providers.base as provider_base
from nanobot.providers.openai_codex_provider import (
OpenAICodexProvider,
_codex_error_response,
_CodexHTTPError,
_friendly_error,
_request_codex,
_should_retry_status,
)
def _mock_codex_token(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setattr(
"nanobot.providers.openai_codex_provider.get_codex_token",
lambda: SimpleNamespace(account_id="acct", access="token"),
)
class _WarningCaptureLogger:
def __init__(self) -> None:
self.calls: list[tuple[str, tuple[Any, ...]]] = []
def warning(self, *args: Any, **kwargs: Any) -> None:
self.calls.append((args[0], args[1:]))
def exception(self, message: str, *args: Any, **kwargs: Any) -> None:
raise AssertionError("Codex diagnostics must not log exception tracebacks")
def _capture_codex_warnings(monkeypatch: pytest.MonkeyPatch) -> _WarningCaptureLogger:
capture = _WarningCaptureLogger()
monkeypatch.setattr("nanobot.providers.openai_codex_provider.logger", capture)
return capture
def test_codex_blank_timeout_root_cause_reproduction() -> None:
"""Document why upstream produced a bare ``Error calling Codex:`` message."""
exc = httpx.ReadTimeout("")
legacy_content = f"Error calling Codex: {exc}"
assert str(exc) == ""
assert legacy_content == "Error calling Codex: "
legacy_response = provider_base.LLMResponse(content=legacy_content, finish_reason="error")
assert legacy_response.error_kind is None
assert legacy_response.error_should_retry is None
def test_codex_http_friendly_error_omits_raw_body() -> None:
raw = "raw upstream body with PRIVATE PROMPT MUST NOT APPEAR"
message = _friendly_error(500, raw)
assert message == "HTTP 500: Codex API request failed"
assert "PRIVATE PROMPT MUST NOT APPEAR" not in message
@pytest.mark.asyncio
async def test_codex_request_non_200_populates_http_metadata(monkeypatch) -> None:
original_client = httpx.AsyncClient
def handler(request: httpx.Request) -> httpx.Response:
return httpx.Response(
429,
headers={"retry-after": "2"},
json={"error": {"type": "rate_limit_exceeded", "code": "rate_limit_exceeded"}},
request=request,
)
def fake_client(*, timeout: float, verify: bool) -> httpx.AsyncClient:
assert timeout == 60.0
assert verify is True
return original_client(transport=httpx.MockTransport(handler), timeout=timeout)
monkeypatch.setattr("nanobot.providers.openai_codex_provider.httpx.AsyncClient", fake_client)
with pytest.raises(_CodexHTTPError) as caught:
await _request_codex("https://codex.example/responses", {}, {"input": []}, verify=True)
error = caught.value
assert str(error) == "ChatGPT usage quota exceeded or rate limit triggered. Please try again later."
assert error.status_code == 429
assert error.retry_after == 2.0
assert error.error_type == "rate_limit_exceeded"
assert error.error_code == "rate_limit_exceeded"
assert error.should_retry is True
@pytest.mark.asyncio
async def test_codex_prompt_cache_key_uses_stable_conversation_prefix(monkeypatch) -> None:
bodies: list[dict] = []
monkeypatch.setattr(
"nanobot.providers.openai_codex_provider.get_codex_token",
lambda: SimpleNamespace(account_id="acct", access="token"),
)
_mock_codex_token(monkeypatch)
async def fake_request(
url,
@ -56,3 +141,238 @@ async def test_codex_prompt_cache_key_uses_stable_conversation_prefix(monkeypatc
assert bodies[0]["prompt_cache_key"] == bodies[1]["prompt_cache_key"]
assert bodies[0]["prompt_cache_key"] != bodies[2]["prompt_cache_key"]
@pytest.mark.asyncio
async def test_codex_timeout_error_is_typed_and_retryable(monkeypatch) -> None:
_mock_codex_token(monkeypatch)
async def fake_request(*args, **kwargs):
raise httpx.ReadTimeout("")
monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
provider = OpenAICodexProvider()
response = await provider.chat([{"role": "user", "content": "hello"}])
assert response.finish_reason == "error"
assert response.content == (
"Error calling Codex (ReadTimeout): timed out waiting for response"
)
assert response.error_kind == "timeout"
assert response.error_should_retry is True
@pytest.mark.asyncio
async def test_codex_timeout_error_writes_diagnostic_log(monkeypatch) -> None:
log_capture = _capture_codex_warnings(monkeypatch)
_mock_codex_token(monkeypatch)
async def fake_request(*args: Any, **kwargs: Any):
raise httpx.ReadTimeout("")
monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
provider = OpenAICodexProvider()
response = await provider.chat([{"role": "user", "content": "hello"}])
assert response.content == (
"Error calling Codex (ReadTimeout): timed out waiting for response"
)
assert log_capture.calls == [
(
"Codex API request failed: type={} kind={} retryable={} status={} "
"error_type={} error_code={} retry_after={} summary={}",
(
"ReadTimeout",
"timeout",
True,
None,
None,
None,
None,
"ReadTimeout timeout",
),
)
]
@pytest.mark.asyncio
async def test_codex_diagnostic_log_omits_prompt_content(monkeypatch) -> None:
sink = io.StringIO()
logger.enable("nanobot")
handler_id = logger.add(sink, format="{message}", backtrace=True, diagnose=True)
try:
_mock_codex_token(monkeypatch)
async def fake_request(*args: Any, **kwargs: Any):
raise httpx.ReadTimeout("")
monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
provider = OpenAICodexProvider()
response = await provider.chat(
[{"role": "user", "content": "PRIVATE PROMPT MUST NOT APPEAR"}]
)
finally:
logger.remove(handler_id)
log_text = sink.getvalue()
assert response.error_kind == "timeout"
assert "Codex API request failed" in log_text
assert "ReadTimeout" in log_text
assert "PRIVATE PROMPT MUST NOT APPEAR" not in log_text
@pytest.mark.asyncio
async def test_codex_retry_uses_structured_timeout_metadata(monkeypatch) -> None:
calls = 0
delays: list[float] = []
_mock_codex_token(monkeypatch)
async def fake_request(*args, **kwargs):
nonlocal calls
calls += 1
if calls == 1:
raise httpx.ReadTimeout("")
return "ok", [], "stop"
async def fake_sleep(delay: float) -> None:
delays.append(delay)
monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
monkeypatch.setattr(provider_base.asyncio, "sleep", fake_sleep)
provider = OpenAICodexProvider()
response = await provider.chat_with_retry(messages=[{"role": "user", "content": "hello"}])
assert response.content == "ok"
assert calls == 2
assert delays == [1]
@pytest.mark.asyncio
async def test_codex_http_error_preserves_status_and_retry_after(monkeypatch) -> None:
_mock_codex_token(monkeypatch)
async def fake_request(*args, **kwargs):
raise _CodexHTTPError(
"HTTP 503: backend unavailable",
status_code=503,
retry_after=2.5,
error_type="server_error",
error_code="overloaded",
)
monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
provider = OpenAICodexProvider()
response = await provider.chat([{"role": "user", "content": "hello"}])
assert response.finish_reason == "error"
assert response.content == "Error calling Codex (CodexHTTPError): HTTP 503: backend unavailable"
assert response.error_status_code == 503
assert response.error_kind == "http"
assert response.error_type == "server_error"
assert response.error_code == "overloaded"
assert response.retry_after == 2.5
assert response.error_should_retry is True
@pytest.mark.asyncio
async def test_codex_http_diagnostic_log_omits_raw_body(monkeypatch) -> None:
log_capture = _capture_codex_warnings(monkeypatch)
_mock_codex_token(monkeypatch)
async def fake_request(*args: Any, **kwargs: Any):
raise _CodexHTTPError(
_friendly_error(500, "raw upstream body with PRIVATE PROMPT MUST NOT APPEAR"),
status_code=500,
error_type="server_error",
error_code="overloaded",
)
monkeypatch.setattr("nanobot.providers.openai_codex_provider._request_codex", fake_request)
provider = OpenAICodexProvider()
response = await provider.chat([{"role": "user", "content": "hello"}])
assert response.content == "Error calling Codex (CodexHTTPError): HTTP 500: Codex API request failed"
assert log_capture.calls == [
(
"Codex API request failed: type={} kind={} retryable={} status={} "
"error_type={} error_code={} retry_after={} summary={}",
(
"CodexHTTPError",
"http",
True,
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