But there are specific cases where it's useful to get the `Request` object.

## Use the `Request` object directly { #use-the-request-object-directly }

Let's imagine you want to get the client's IP address/host inside of your *path operation function*.

For that you need to access the request directly.

{* ../../docs_src/using_request_directly/tutorial001.py hl[1,7:8] *}

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.

# We're about to delete all but the cross-compiled binaries.
cd ..
if [ "$goos" = "$gohostos" -a "$goarch" = "$gohostarch" ]; then
	# cross-compile for local system. nothing to copy.
	# useful if you've bootstrapped yourself but want to
	# prepare a clean toolchain for others.
	true
else
	rm -f bin/go_${goos}_${goarch}_exec
	mv bin/*_*/* bin
	rmdir bin/*_*
	rm -rf "pkg/${gohostos}_${gohostarch}" "pkg/tool/${gohostos}_${gohostarch}"
fi

Let's say you have a custom exception `UnicornException` that you (or a library you use) might `raise`.

And you want to handle this exception globally with FastAPI.

You could add a custom exception handler with `@app.exception_handler()`:

{* ../../docs_src/handling_errors/tutorial003.py hl[5:7,13:18,24] *}

          new Supplier<LongAddable>() {
            @Override
            public LongAddable get() {
              return new LongAdder();
            }
          };
    } catch (Throwable t) { // we really want to catch *everything*
      supplier =
          new Supplier<LongAddable>() {
            @Override
            public LongAddable get() {
              return new PureJavaLongAddable();
            }
          };

astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev

        return;
      }
    }
    // Execute the runnable immediately. Because of scheduling this may end up getting called before
    // some of the previously added runnables, but we're OK with that. If we want to change the
    // contract to guarantee ordering among runnables we'd have to modify the logic here to allow
    // it.
    executeListener(runnable, executor);
  }

  /**

/**
 * NullResponseProcessor is a class that implements the ResponseProcessor interface.
 * It provides a no-op implementation for processing response data.
 * This class can be used when you want to skip the response processing step in a crawler.
 *
 * @author kuma
 */
public class NullResponseProcessor implements ResponseProcessor {

    /**
     * Creates a new NullResponseProcessor instance.
     */

        Artifact artifact = request.getArtifact();

        //
        // If we have a system scoped artifact, then we do not want any searching in local or remote repositories,
        // and we want artifact resolution to only return the system scoped artifact itself.
        //
        if (artifact.getScope() != null && artifact.getScope().equals(Artifact.SCOPE_SYSTEM)) {

          new Supplier<LongAddable>() {
            @Override
            public LongAddable get() {
              return new LongAdder();
            }
          };
    } catch (Throwable t) { // we really want to catch *everything*
      supplier =
          new Supplier<LongAddable>() {
            @Override
            public LongAddable get() {
              return new PureJavaLongAddable();
            }
          };