{"record":{"id":"20045d34c6d0f11d","repo":"HKUDS/Vibe-Trading","slug":"scenario-iv-values-must-contain-numbers","errorCode":null,"errorMessage":"scenario_iv_values must contain numbers","messagePattern":"scenario_iv_values must contain numbers","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"agent/src/tools/options_payoff_tool.py","lineNumber":335,"sourceCode":"def _scenario_ivs(raw: Any, entry_iv: float) -> np.ndarray:\n    \"\"\"Resolve bounded explicit IV scenarios or the skill's five defaults.\"\"\"\n    if raw is None:\n        values = [\n            entry_iv * 0.5,\n            entry_iv * 0.75,\n            entry_iv,\n            entry_iv * 1.25,\n            entry_iv * 1.5,\n        ]\n    else:\n        if not isinstance(raw, list) or not raw:\n            raise ValueError(\"scenario_iv_values must be a non-empty array\")\n        if len(raw) > _MAX_IV_SCENARIOS:\n            raise ValueError(f\"scenario_iv_values may contain at most {_MAX_IV_SCENARIOS} entries\")\n        try:\n            values = [float(value) for value in raw]\n        except (TypeError, ValueError, OverflowError) as exc:\n            raise ValueError(\"scenario_iv_values must contain numbers\") from exc\n    array = np.asarray(values, dtype=float)\n    if not np.isfinite(array).all() or (array <= 0).any():\n        raise ValueError(\"scenario_iv_values must contain positive finite values\")\n    return array\n\n\ndef _rounded(value: float) -> float:\n    \"\"\"Round a finite scalar for stable, compact JSON.\"\"\"\n    return round(float(value), 6)\n\n\ndef _rounded_array(values: np.ndarray) -> list[float]:\n    \"\"\"Round a numeric array for stable, compact JSON.\"\"\"\n    return [round(float(value), 6) for value in np.asarray(values).tolist()]\n\n\ndef _error(message: str) -> str:\n    \"\"\"Build a stable error envelope.\"\"\"","sourceCodeStart":317,"sourceCodeEnd":353,"githubUrl":"https://github.com/HKUDS/Vibe-Trading/blob/80ffdda44c5c4db0dd84d70e051cca591cea67df/agent/src/tools/options_payoff_tool.py#L317-L353","documentation":"The options payoff tool validates the scenario_iv_values argument in _scenario_ivs. After confirming the input is a non-empty array of at most _MAX_IV_SCENARIOS entries, it attempts to coerce every element to float; if any element cannot be converted (string like 'abc', None, nested list, dict), the resulting TypeError/ValueError/OverflowError is re-raised as ValueError('scenario_iv_values must contain numbers').","triggerScenarios":"Calling the options payoff tool's execute with scenario_iv_values=[0.2, 'high'] or [None, 0.3] or nested arrays. Booleans are accepted (float(True)==1.0); non-numeric strings and None are rejected.","commonSituations":"LLM-generated tool arguments with quoted vols ('20%'), passing a JSON object instead of an array, or None sentinels from upstream config defaults.","solutions":["Ensure every element is a number (int/float) in JSON, e.g. [0.2, 0.25, 0.3]","Strip '%' and convert percent strings to decimals before calling","Validate elements with isinstance(x,(int,float)) before invoking the tool"],"exampleFix":"// before\ntool.execute(scenario_iv_values=[\"20%\", 0.25])\n// after\ntool.execute(scenario_iv_values=[0.20, 0.25])","handlingStrategy":"validation","validationCode":"ivs = kwargs.get(\"scenario_iv_values\") or []\nif not all(isinstance(v, (int, float)) and not isinstance(v, bool) for v in ivs):\n    ivs = [float(str(v).rstrip('%')) / 100 if isinstance(v, str) else v for v in ivs]\nkwargs[\"scenario_iv_values\"] = [float(v) for v in ivs]","typeGuard":"def is_numeric_list(v: object) -> bool:\n    return isinstance(v, list) and bool(v) and all(\n        isinstance(x, (int, float)) and not isinstance(x, bool) for x in v\n    )","tryCatchPattern":"try:\n    result = tool.execute(**kwargs)\nexcept ValueError as e:\n    if \"must contain numbers\" in str(e):\n        kwargs[\"scenario_iv_values\"] = sanitized(ivs); retry()","preventionTips":["Send JSON numbers, never quoted numerics","Sanitize LLM output through a float() coercion layer","Reject bools explicitly if strictness matters"],"tags":["options-payoff","input-validation","type-coercion"],"backgroundTag":"argument-type-validation-failed","analyzedSha":"80ffdda44c5c4db0dd84d70e051cca591cea67df","analyzedAt":"2026-08-28T12:46:38.989Z","schemaVersion":2},"datasetVersion":"2026-08-28T16:17:29.566Z"}