rohitg00/ai-engineering-from-scratch · error · ValueError

invalid length for {location}: above maxLength {maximum}

Error message

invalid length for {location}: above maxLength {maximum}

What it means

Error "invalid length for {location}: above maxLength {maximum}" thrown in rohitg00/ai-engineering-from-scratch.

Source

Thrown at certifications/claude/lessons/10-tool-use-and-agentic-loops/code/main.py:149

            ("maximum", lambda current, bound: current <= bound, "above maximum"),
            ("exclusiveMinimum", lambda current, bound: current > bound, "at or below exclusive minimum"),
            ("exclusiveMaximum", lambda current, bound: current < bound, "at or above exclusive maximum"),
        ):
            if keyword not in schema:
                continue
            bound = schema[keyword]
            if not isinstance(bound, (int, float)) or isinstance(bound, bool):
                raise ValueError(f"schema {keyword} for {location} must be numeric")
            if not comparison(value, bound):
                raise ValueError(f"invalid value for {location}: {message} {bound}")

    if isinstance(value, str):
        minimum = _integer_bound(schema, "minLength")
        maximum = _integer_bound(schema, "maxLength")
        if minimum is not None and len(value) < minimum:
            raise ValueError(f"invalid length for {location}: below minLength {minimum}")
        if maximum is not None and len(value) > maximum:
            raise ValueError(f"invalid length for {location}: above maxLength {maximum}")

    if isinstance(value, list):
        minimum = _integer_bound(schema, "minItems")
        maximum = _integer_bound(schema, "maxItems")
        if minimum is not None and len(value) < minimum:
            raise ValueError(f"invalid item count for {location}: below minItems {minimum}")
        if maximum is not None and len(value) > maximum:
            raise ValueError(f"invalid item count for {location}: above maxItems {maximum}")
        if "items" in schema:
            for index, item in enumerate(value):
                _validate_schema_value(item, schema["items"], f"{location}[{index}]")

    if isinstance(value, dict):
        properties = schema.get("properties", {})
        if not isinstance(properties, dict):
            raise ValueError(f"schema properties for {location} must be an object")
        required = schema.get("required", [])
        if not isinstance(required, list) or not all(isinstance(name, str) for name in required):

View on GitHub (pinned to 39ea8a1c6d)

When it happens

Trigger: Thrown at certifications/claude/lessons/10-tool-use-and-agentic-loops/code/main.py:149 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of rohitg00/ai-engineering-from-scratch@39ea8a1c6d (2026-08-26). Data as JSON: /api/errors/24eb8f9b7d74df9f. Report an issue: GitHub.