Quickstart ========== .. include:: _sidebar.rst Installation ------------ To install kin-kernel, simply run the following command: .. code-block:: bash pip install kin-kernel For more details, visit the `kin-kernel PyPI page `_. Usage Example ------------- Here is a simple example of how to use kin-kernel: .. code-block:: python import asyncio from pydantic import BaseModel from kinkernel import Cell from kinkernel.config import ConfigModel, EnvVar class MyInputModel(BaseModel): value1: int value2: str class MyOutputModel(BaseModel): processed_value: int class MyCell(Cell[MyInputModel, MyOutputModel]): role = "Processor" description = "Processes input data" input_format = MyInputModel output_format = MyOutputModel config = ConfigModel( env_vars=[ EnvVar(key="ENV_VAR_1", value="value1"), EnvVar(key="ENV_VAR_2", value="value2"), ] ) async def _execute(self, input_data: MyInputModel) -> MyOutputModel: # Process the input_data as needed exec_result = {"processed_value": input_data.value1 * 2} return MyOutputModel(**exec_result) if __name__ == "__main__": my_cell = MyCell() input_dt = MyInputModel(value1=10, value2="example") output = asyncio.run(my_cell.run(input_dt.model_dump_json())) print(MyOutputModel.model_validate_json(output["content"]))