Generate Python dataclasses from JSON Schema
The JSON Schema → Python Dataclass converter turns a JSON Schema into clean
@dataclass definitions with proper type hints. It is ideal for Python services
that consume LLM structured output or function-calling arguments — the model’s
schema becomes a typed class you can construct and validate against.
How it works
The generator walks the schema and maps JSON types to Python: string→str,
integer→int, number→float, boolean→bool, array→List[T], and
objects to nested dataclasses. String enums become Literal[...]. Fields not in
required are wrapped in Optional[T] with a None default and ordered after
required fields, because a dataclass cannot put a defaulted field before a
non-defaulted one. Nested classes are emitted in dependency order so every
reference resolves.
Tips and notes
The output includes the needed imports (dataclasses, typing). For LLM work,
generate the dataclass for your tool’s parameters schema, then build instances
from the JSON the model returns to get editor autocomplete and runtime checks. If
you need stricter validation, the same shape ports cleanly to Pydantic models.
Everything is computed locally — nothing you paste leaves the browser.