# Header Parameters { #header-parameters }

You can define Header parameters the same way you define `Query`, `Path` and `Cookie` parameters.

## Import `Header` { #import-header }

First import `Header`:

{* ../../docs_src/header_params/tutorial001_an_py310.py hl[3] *}

## Declare `Header` parameters { #declare-header-parameters }

Then declare the header parameters using the same structure as with `Path`, `Query` and `Cookie`.

                    logger.warn("Failed to store search parameters in cookie.", e);
                }
            }
        });
    }

    /**
     * Serializes request parameters to a compressed and encoded string.
     *
     * @param parameters Array of request parameters to serialize
     * @return Base64-encoded, GZIP-compressed JSON string of parameters
     * @throws SearchQueryException if serialization fails

{* ../../docs_src/body/tutorial002_py310.py *}

## Request body + path parameters { #request-body-path-parameters }

You can declare path parameters and request body at the same time.

**FastAPI** will recognize that the function parameters that match path parameters should be **taken from the path**, and that function parameters that are declared to be Pydantic models should be **taken from the request body**.

# Path Parameters and Numeric Validations { #path-parameters-and-numeric-validations }

In the same way that you can declare more validations and metadata for query parameters with `Query`, you can declare the same type of validations and metadata for path parameters with `Path`.

## Import `Path` { #import-path }

First, import `Path` from `fastapi`, and import `Annotated`:

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[1,3] *}

 * If this parameter is not present, an empty string is returned as the content.</p>
 */
public class FilenameExtractor extends AbstractExtractor {

    /**
     * Constructs a new FilenameExtractor.
     */
    public FilenameExtractor() {
        // Default constructor
    }

    /**
     * Extracts the filename from the parameters.
     *

    public void setParameters(List<Parameter> parameters) throws DuplicateParameterException {
        this.parameters.clear();
        for (Parameter parameter : parameters) {
            addParameter(parameter);
        }
    }

    /**
     * @param parameter add a new parameter
     * @throws DuplicateParameterException if any
     */
    public void addParameter(Parameter parameter) throws DuplicateParameterException {

# Modelos de Parámetros Query { #query-parameter-models }

Si tienes un grupo de **parámetros query** que están relacionados, puedes crear un **modelo de Pydantic** para declararlos.

Esto te permitiría **reutilizar el modelo** en **múltiples lugares** y también declarar validaciones y metadatos para todos los parámetros de una vez. 😎

/// note | Nota

Esto es compatible desde la versión `0.115.0` de FastAPI. 🤓

///

    @Suppress("UNCHECKED_CAST")
    fun generate(parameters: Map<String, Any>) {
        generateKotlinDslApiExtensionsSourceTo(
            parameters["asmLevel"] as Int,
            parameters["platformClassLoader"] as ClassLoader,
            parameters["incubatingAnnotationTypeDescriptor"] as String,
            parameters["outputDirectory"] as File,
            parameters["packageName"] as String,

# Query Parameters and String Validations { #query-parameters-and-string-validations }

**FastAPI** allows you to declare additional information and validation for your parameters.

Let's take this application as example:

{* ../../docs_src/query_params_str_validations/tutorial001_py310.py hl[7] *}

                "get": {
                    "tags": ["path1a", "path1b"],
                    "summary": "Path1 Override",
                    "operationId": "path1_override_override1_get",
                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Level1", "type": "string"},
                            "name": "level1",