And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

**FastAPI** will use that *temporal* response to extract the cookies (also headers and status code), and will put them in the final response that contains the value you returned, filtered by any `response_model`.

import java.util.List;
import java.util.Map;
import java.util.regex.Pattern;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
import javax.annotation.CheckForNull;

/**
 * Extracts non-overlapping substrings from an input string, typically by recognizing appearances of
 * a <i>separator</i> sequence. This separator can be specified as a single {@linkplain #on(char)

		// specified in the Forwarded header. The first element will always be
		// the 'for=' capture, which we ignore. In the case of multiple IP
		// addresses (for=8.8.8.8, 8.8.4.4, 172.16.1.20 is valid) we only
		// extract the first, which should be the client IP.
		if match := forRegex.FindStringSubmatch(fwd); len(match) > 1 {
			// IPv6 addresses in Forwarded headers are quoted-strings. We strip
			// these quotes.

	} `yaml:"ftp"`
	SFTP struct {
		Address       string `yaml:"address"`
		SSHPrivateKey string `yaml:"ssh-private-key"`
	} `yaml:"sftp"`
}

// ServerConfigVersion struct is used to extract the version
type ServerConfigVersion struct {
	Version string `yaml:"version"`
}

// ServerConfigCommon struct for server config common options
type ServerConfigCommon struct {
	RootUser    string `yaml:"rootUser"`

        }

        if (tlsVersions.contains(TLS_1_3)) {
          println("TLSv1.3 requires an external command run before first traffic is sent")
          println("Follow instructions at https://github.com/neykov/extract-tls-secrets for TLSv1.3")
          println("Pid: ${ProcessHandle.current().pid()}")

          Thread.sleep(10000)
        }
      }
      CommandLine -> {
        return ProcessBuilder(

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="7-12  16"
{!> ../../docs_src/header_param_models/tutorial001_py310.py!}
```

////

**FastAPI** will **extract** the data for **each field** from the **headers** in the request and give you the Pydantic model you defined.

## Check the Docs

You can see the required headers in the docs UI at `/docs`:

<div class="screenshot">

 * certificate.
 *
 * Use of the chain cleaner is necessary to omit unexpected certificates that aren't relevant to
 * the TLS handshake and to extract the trusted CA certificate for the benefit of certificate
 * pinning.
 */
abstract class CertificateChainCleaner {
  @Throws(SSLPeerUnverifiedException::class)
  abstract fun clean(
    chain: List<Certificate>,

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.crawler.extractor.impl;

import java.io.BufferedInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.nio.charset.Charset;
import java.util.Map;
import java.util.regex.Matcher;

    permissions:
      contents: read
    runs-on: ubuntu-latest
    steps:
      - name: git clone
        uses: actions/checkout@v4
      - id: setup-matrix
        run: echo "matrix=$(jq -c -f .github/workflows/extract-unit-test-split.jq .teamcity/subprojects.json)" >> $GITHUB_OUTPUT
      - name: setup java
        uses: actions/setup-java@v4
        with:
          distribution: temurin
          java-version: 17

                + "</doc>";

        final ResponseData responseData = new ResponseData();
        responseData.setResponseBody(ResourceUtil.getResourceAsFile("extractor/test.xml"), false);
        responseData.setCharSet(Constants.UTF_8);
        final ResultData resultData = xmlTransformer.transform(responseData);
        assertEquals(result, new String(resultData.getData(), Constants.UTF_8));