{"record":{"id":"ae9a3ab756d48791","repo":"HKUDS/DeepTutor","slug":"codex-transport-request-failed","errorCode":null,"errorMessage":"Codex transport request failed.","messagePattern":"Codex transport request failed\\.","errorType":"error_code","errorClass":"LLMProviderTransportError","httpStatus":null,"severity":"error","filePath":"deeptutor/services/llm/provider_core/openai_codex_provider.py","lineNumber":135,"sourceCode":"                    tool_calls=tool_calls,\n                    finish_reason=finish_reason,\n                )\n            except CodexHTTPError as exc:\n                return LLMResponse(\n                    content=f\"Error calling Codex: {exc}\",\n                    finish_reason=\"error\",\n                )\n            except CodexAuthError as exc:\n                return LLMResponse(\n                    content=f\"Error calling Codex: {exc.public_message}\",\n                    finish_reason=\"error\",\n                )\n            except Exception as exc:\n                if is_transient_transport_error(exc):\n                    # Preserve a structured retry signal without exposing the\n                    # URL, proxy, response body, or token-bearing request.\n                    logger.warning(\"Codex transport request failed: {}\", type(exc).__name__)\n                    raise LLMProviderTransportError(\"Codex transport request failed.\") from exc\n                # The user-facing text stays generic so upstream payloads never\n                # leak, but an operator still needs the real cause in the log.\n                logger.exception(\"Codex request failed\")\n                return LLMResponse(\n                    content=\"Error calling Codex: Codex request failed. Please try again.\",\n                    finish_reason=\"error\",\n                )\n\n    async def chat(\n        self,\n        messages: list[dict[str, Any]],\n        tools: list[dict[str, Any]] | None = None,\n        model: str | None = None,\n        max_tokens: int = 4096,\n        temperature: float = 0.7,\n        reasoning_effort: str | None = None,\n        tool_choice: str | dict[str, Any] | None = None,\n        **kwargs: Any,","sourceCodeStart":117,"sourceCodeEnd":153,"githubUrl":"https://github.com/HKUDS/DeepTutor/blob/3e82f130422a813cdd73c10b21a44e9325f5821a/deeptutor/services/llm/provider_core/openai_codex_provider.py#L117-L153","documentation":"A low-level transport exception (connection error, timeout, TLS failure) occurred while calling Codex. If it matches is_transient_transport_error, it's re-raised as LLMProviderTransportError with a deliberately generic message so no URL, proxy, or token-bearing request leaks; the exception type is logged for operators.","triggerScenarios":"_call_codex's HTTP request raises a transient transport error (DNS failure, connection reset, timeout, proxy hiccup) — chat and chat_stream both surface this.","commonSituations":"Flaky network, corporate proxy dropping long-lived streaming connections, TLS interception failures, transient DNS issues.","solutions":["Retry the request — the error class marks it as transient/retryable.","Check network/proxy connectivity to the Codex endpoint.","If persistent, inspect logs (the exception type name is logged via logger.warning)."],"exampleFix":null,"handlingStrategy":"retry","validationCode":null,"typeGuard":null,"tryCatchPattern":"try:\n    resp = await provider.chat(messages)\nexcept LLMProviderTransportError:\n    await asyncio.sleep(min(2 ** attempt, 30)); retry(max_attempts=5)","preventionTips":["Wrap Codex calls in exponential backoff for transport errors","Set sane client timeouts to convert hangs into retryable failures","Use retry budgets so transient loops can't spin forever"],"tags":["network","codex","transport","transient"],"backgroundTag":"network-transient-error","analyzedSha":"3e82f130422a813cdd73c10b21a44e9325f5821a","analyzedAt":"2026-08-27T06:57:25.364Z","schemaVersion":2},"datasetVersion":"2026-08-27T08:17:20.692Z"}