{"record":{"id":"e7a47d5599200a18","repo":"rohitg00/ai-engineering-from-scratch","slug":"invalid-item-count-for-location-below-minitems","errorCode":null,"errorMessage":"invalid item count for {location}: below minItems {minimum}","messagePattern":"invalid item count for (.+?): below minItems (.+?)","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"certifications/claude/lessons/10-tool-use-and-agentic-loops/code/main.py","lineNumber":155,"sourceCode":"            bound = schema[keyword]\n            if not isinstance(bound, (int, float)) or isinstance(bound, bool):\n                raise ValueError(f\"schema {keyword} for {location} must be numeric\")\n            if not comparison(value, bound):\n                raise ValueError(f\"invalid value for {location}: {message} {bound}\")\n\n    if isinstance(value, str):\n        minimum = _integer_bound(schema, \"minLength\")\n        maximum = _integer_bound(schema, \"maxLength\")\n        if minimum is not None and len(value) < minimum:\n            raise ValueError(f\"invalid length for {location}: below minLength {minimum}\")\n        if maximum is not None and len(value) > maximum:\n            raise ValueError(f\"invalid length for {location}: above maxLength {maximum}\")\n\n    if isinstance(value, list):\n        minimum = _integer_bound(schema, \"minItems\")\n        maximum = _integer_bound(schema, \"maxItems\")\n        if minimum is not None and len(value) < minimum:\n            raise ValueError(f\"invalid item count for {location}: below minItems {minimum}\")\n        if maximum is not None and len(value) > maximum:\n            raise ValueError(f\"invalid item count for {location}: above maxItems {maximum}\")\n        if \"items\" in schema:\n            for index, item in enumerate(value):\n                _validate_schema_value(item, schema[\"items\"], f\"{location}[{index}]\")\n\n    if isinstance(value, dict):\n        properties = schema.get(\"properties\", {})\n        if not isinstance(properties, dict):\n            raise ValueError(f\"schema properties for {location} must be an object\")\n        required = schema.get(\"required\", [])\n        if not isinstance(required, list) or not all(isinstance(name, str) for name in required):\n            raise ValueError(f\"schema required for {location} must be a string list\")\n        missing = [name for name in required if name not in value]\n        if missing:\n            raise ValueError(f\"missing required fields: {', '.join(missing)}\")\n        unexpected = set(value) - set(properties)\n        if unexpected and schema.get(\"additionalProperties\") is False:","sourceCodeStart":137,"sourceCodeEnd":173,"githubUrl":"https://github.com/rohitg00/ai-engineering-from-scratch/blob/39ea8a1c6d0b61f071226eff7ede4d4105fed820/certifications/claude/lessons/10-tool-use-and-agentic-loops/code/main.py#L137-L173","documentation":"Error \"invalid item count for {location}: below minItems {minimum}\" thrown in rohitg00/ai-engineering-from-scratch.","triggerScenarios":"Thrown at certifications/claude/lessons/10-tool-use-and-agentic-loops/code/main.py:155 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"39ea8a1c6d0b61f071226eff7ede4d4105fed820","analyzedAt":"2026-08-26T03:13:46.626Z","schemaVersion":2},"datasetVersion":"2026-08-26T07:17:17.940Z"}