> ## Documentation Index
> Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Camel.utils.response format

<a id="camel.utils.response_format" />

<a id="camel.utils.response_format.get_pydantic_model" />

## get\_pydantic\_model

```python theme={"system"}
def get_pydantic_model(input_data: Union[str, Type[BaseModel], Callable]):
```

A multi-purpose function that can be used as a normal function,
a class decorator, or a function decorator.

**Parameters:**

* **input\_data** (Union\[str, type, Callable]): - If a string is provided, it should be a JSON-encoded string that will be converted into a BaseModel. - If a function is provided, it will be decorated such that its arguments are converted into a BaseModel. - If a BaseModel class is provided, it will be returned directly.

**Returns:**

Type\[BaseModel]: The BaseModel class that will be used to
structure the input data.

<a id="camel.utils.response_format.model_from_json_schema" />

## model\_from\_json\_schema

```python theme={"system"}
def model_from_json_schema(name: str, schema: Dict[str, Any]):
```

Create a Pydantic model from a JSON schema.

**Parameters:**

* **name** (str): The name of the model.
* **schema** (Dict\[str, Any]): The JSON schema to create the model from.

**Returns:**

Type\[BaseModel]: The Pydantic model.