{"record":{"id":"d766a1e45a38b48c","repo":"HKUDS/Vibe-Trading","slug":"openai-codex-response-failed-str-detail-500","errorCode":null,"errorMessage":"OpenAI Codex response failed: {str(detail)[:500]}","messagePattern":"OpenAI Codex response failed: (.+?)","errorType":"exception","errorClass":"RuntimeError","httpStatus":null,"severity":"error","filePath":"agent/src/providers/openai_codex.py","lineNumber":602,"sourceCode":"                tool_buffers[call_id][\"arguments\"] = event.get(\"arguments\") or \"\"\n        elif event_type == \"response.output_item.done\":\n            item = event.get(\"item\") or {}\n            if item.get(\"type\") == \"function_call\" and item.get(\"call_id\"):\n                call_id = item[\"call_id\"]\n                buf = tool_buffers.get(call_id) or {}\n                args_raw = buf.get(\"arguments\") or item.get(\"arguments\") or \"{}\"\n                tool = CodexToolCall(\n                    id=f\"{call_id}|{buf.get('id') or item.get('id') or 'fc_0'}\",\n                    name=buf.get(\"name\") or item.get(\"name\") or \"\",\n                    arguments=_decode_tool_args(args_raw),\n                )\n                yield CodexAIMessage(tool_calls=[tool.as_langchain_tool_call()])\n        elif event_type == \"response.completed\":\n            status = (event.get(\"response\") or {}).get(\"status\")\n            yield CodexAIMessage(response_metadata={\"finish_reason\": _map_finish_reason(status)})\n        elif event_type in {\"error\", \"response.failed\"}:\n            detail = event.get(\"error\") or event.get(\"message\") or event\n            raise RuntimeError(f\"OpenAI Codex response failed: {str(detail)[:500]}\")\n\n\nclass OpenAICodexLLM:\n    \"\"\"Minimal LangChain-compatible adapter for Vibe-Trading's ChatLLM.\"\"\"\n\n    def __init__(\n        self,\n        *,\n        model: str,\n        temperature: float = 0.0,\n        timeout: int = 120,\n        tools: list[dict[str, Any]] | None = None,\n        reasoning_effort: str | None = None,\n        codex_url: str | None = None,\n    ) -> None:\n        if httpx is None:\n            raise RuntimeError(\"OpenAI Codex OAuth requires httpx. Install dependencies first.\")\n        self.model = model","sourceCodeStart":584,"sourceCodeEnd":620,"githubUrl":"https://github.com/HKUDS/Vibe-Trading/blob/80ffdda44c5c4db0dd84d70e051cca591cea67df/agent/src/providers/openai_codex.py#L584-L620","documentation":"While streaming Codex SSE events, the event loop received an event of type 'error' or 'response.failed'. The library surfaces the upstream error payload (truncated to 500 chars) as RuntimeError so callers see the backend's failure detail.","triggerScenarios":"Calling OpenAICodexLLM.stream and the backend mid-response emits {\"type\":\"error\"} or \"response.failed\" — e.g. model overload, content policy, malformed tool definitions, or upstream 5xx surfaced in the SSE stream.","commonSituations":"Passing invalid tool schemas the backend rejects mid-stream; capacity/rate limit errors during long streaming sessions; expired auth occasionally surfacing as stream errors.","solutions":["Read the truncated detail in the message — it usually names the exact upstream cause and fixes differ accordingly","For transient overload/rate errors, retry the request with backoff","Validate tool definitions (JSON schema fields) before streaming; for auth issues, re-login via the Codex provider flow"],"exampleFix":"# before\nfor chunk in llm.stream(messages):\n    ...  # RuntimeError mid-iteration\n\n# after\ntry:\n    for chunk in llm.stream(messages):\n        ...\nexcept RuntimeError as e:\n    if \"rate\" in str(e).lower():\n        time.sleep(5); retry()\n    else:\n        raise","handlingStrategy":"retry","validationCode":"_CODEX_TOOLS_SCHEMA_OK = all(isinstance(t, dict) and 'name' in t for t in tools or [])","typeGuard":null,"tryCatchPattern":"try:\n    for chunk in llm.stream(messages):\n        handle(chunk)\nexcept RuntimeError as e:\n    if 'Codex response failed' not in str(e):\n        raise\n    if is_transient(str(e)):\n        retry_with_backoff()\n    else:\n        surface_to_user(str(e))","preventionTips":["Validate tool schemas before streaming","Wrap streaming loops with retry for overload/rate errors and inspect the embedded detail"],"tags":["codex","streaming","sse","upstream-error"],"backgroundTag":"streaming-api-error","analyzedSha":"80ffdda44c5c4db0dd84d70e051cca591cea67df","analyzedAt":"2026-08-28T12:46:38.989Z","schemaVersion":2},"datasetVersion":"2026-08-28T16:17:29.566Z"}