4. The daemon runs the request, sending back data such as logging output or tooling API events and intermediate models while doing so.
5. The daemon sends the result back. For some requests, this might be a simple success/failure result, and for others this might also include a more complex object, such as a tooling API model.

The Wrapper then downloads the Gradle distribution (if necessary), starts the Launcher and runs the build, spawning and connecting to other processes such as the Daemon as required.

Embedding a Java runtime in the distribution would provide some benefits, such as allowing the Launcher, Daemon and Workers to run on it, removing the prerequisite of an installed Java runtime.

### Platforms

The platforms and their architecture modules are:

#### Core automation platform

This is a general-purpose automation platform which takes care of the efficient definition and execution of work, such as tasks.
This platform is agnostic to what exactly the purpose of the work is.
It might be creating an application, setting up development environments, orchestrating deployments, running simulations, etc.

```

## Platforms

### Core automation platform

This is a general-purpose automation platform which takes care of the efficient definition and execution of work, such as tasks.
This platform is agnostic to what exactly the purpose of the work is.
It might be creating an application, setting up development environments, orchestrating deployments, running simulations, etc.

There are several different types of requests, such as a request to run a set of tasks, or to query a tooling model, or to stop.
Some requests will require that the build is configured and maybe some work executed, and other requests might not.

See [Build execution model](build-execution-model.md) for more details.

### Build state model

As Gradle executes, it acts on various pieces of the build definition, such as each project in the build.

- Tooling API client. This a library that is embedded into applications, such as IDEs or CI agents, that allows them to act as a Gradle client.
- Worker processes. Long-running daemon processes that the Gradle daemon starts to run specific kinds of work, such as compilation or test execution.

The diagram below shows the relationships between the different processes:

```mermaid
    graph LR

 */
package org.codelibs.fess.sso;

/**
 * Represents the type of SSO (Single Sign-On) response being requested.
 * This enum is used to differentiate between various SSO operations,
 * such as metadata requests and logout actions.
 */
public enum SsoResponseType {
    /**
     * Indicates a request for SSO metadata, which is typically used for
     * configuration and discovery in protocols like SAML.
     */

    name = "Warmup EC2 Agent"
    id("Util_WarmupEc2Agent")

    vcs.useAbsoluteVcs(VersionedSettingsBranch.fromDslContext().vcsRootId())

    features {
        freeDiskSpace {
            // Lower the limit such that the agent work directories aren't cleaned during the AMI baking process
            requiredSpace = "100mb"
        }
    }

    params {
        param("defaultBranchName", "master")

a
an
and
are
as
at
be
but
by
for
if
in
into
is
it
no
not
of
on
or
such
that
the
their
then
there
these
they
this
to
was
will

 */
package org.codelibs.fess.exception;

/**
 * System exception class for the Fess search engine.
 * This exception is thrown when system-level errors occur in the Fess application,
 * such as configuration errors, initialization failures, or critical runtime issues.
 */
public class FessSystemException extends RuntimeException {

    /** Serial version UID for serialization compatibility */