Tooling API
Embedding Gradle using the Tooling API
Introduction to the Tooling API
Gradle provides a programmatic API called the Tooling API, which you can use for embedding Gradle into your own software. This API allows you to execute and monitor builds and to query Gradle about the details of a build. The main audience for this API is IDE, CI server, other UI authors; however, the API is open for anyone who needs to embed Gradle in their application.
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Gradle TestKit uses the Tooling API for functional testing of your Gradle plugins.
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Eclipse Buildship uses the Tooling API for importing your Gradle project and running tasks.
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IntelliJ IDEA uses the Tooling API for importing your Gradle project and running tasks.
Tooling API Features
A fundamental characteristic of the Tooling API is that it operates in a version independent way. This means that you can use the same API to work with builds that use different versions of Gradle, including versions that are newer or older than the version of the Tooling API that you are using. The Tooling API is Gradle wrapper aware and, by default, uses the same Gradle version as that used by the wrapper-powered build.
Some features that the Tooling API provides:
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Query the details of a build, including the project hierarchy and the project dependencies, external dependencies (including source and Javadoc jars), source directories and tasks of each project.
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Execute a build and listen to stdout and stderr logging and progress messages (e.g. the messages shown in the 'status bar' when you run on the command line).
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Execute a specific test class or test method.
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Receive interesting events as a build executes, such as project configuration, task execution or test execution.
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Cancel a build that is running.
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Combine multiple separate Gradle builds into a single composite build.
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The Tooling API can download and install the appropriate Gradle version, similar to the wrapper.
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The implementation is lightweight, with only a small number of dependencies. It is also a well-behaved library, and makes no assumptions about your classloader structure or logging configuration. This makes the API easy to embed in your application.
Tooling API and the Gradle Build Daemon
The Tooling API always uses the Gradle daemon. This means that subsequent calls to the Tooling API, be it model building requests or task executing requests will be executed in the same long-living process. Gradle Daemon contains more details about the daemon, specifically information on situations when new daemons are forked.
Quickstart
As the Tooling API is an interface for developers, the Javadoc is the main documentation for it.
To use the Tooling API, add the following repository and dependency declarations to your build script:
repositories {
maven { url = uri("https://repo.gradle.org/gradle/libs-releases") }
}
dependencies {
implementation("org.gradle:gradle-tooling-api:$toolingApiVersion")
// The tooling API need an SLF4J implementation available at runtime, replace this with any other implementation
runtimeOnly("org.slf4j:slf4j-simple:2.0.17")
}
repositories {
maven { url = 'https://repo.gradle.org/gradle/libs-releases' }
}
dependencies {
implementation "org.gradle:gradle-tooling-api:$toolingApiVersion"
// The tooling API need an SLF4J implementation available at runtime, replace this with any other implementation
runtimeOnly 'org.slf4j:slf4j-simple:2.0.17'
}
The main entry point to the Tooling API is the GradleConnector.
You can navigate from there to find code samples and explore the available Tooling API models.
You can use GradleConnector.connect() to create a ProjectConnection.
A ProjectConnection connects to a single Gradle project.
Using the connection you can execute tasks, tests and retrieve models relative to this project.
Compatibility of Java and Gradle versions
The following components should be considered when implementing Gradle integration: the Tooling API version, The JVM running the Tooling API client (i.e. the IDE process), the JVM running the Gradle daemon, and the Gradle version.
The Tooling API itself is a Java library published as part of the Gradle release. Each Gradle release has a corresponding Tooling API version with the same version number.
The Tooling API classes are loaded into the client’s JVM, so they should have a matching version. The current version of the Tooling API library is compiled with Java 8 compatibility.
The JVM running the Tooling API client and the one running the daemon can be different. At the same time, classes that are sent to the build via custom build actions need to be targeted to the lowest supported Java version. The JVM versions supported by Gradle is version-specific. The upper bound is defined in the compatibility matrix. The rule for the lower bound is the following:
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Gradle 4.x requires a minimum version of Java 7.
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Gradle 5 and above require a minimum version of Java 8.
The Tooling API version is guaranteed to support running builds with all Gradle versions for the last five major releases. For example, the Tooling API 9.0.0 release is compatible with Gradle versions >= 4.0. Besides, the Tooling API is guaranteed to be compatible with future Gradle releases for the current and the next major. This means, for example, that the 8.1 version of the Tooling API will be able to run Gradle 9.x builds and might break with Gradle 10.
Querying tooling models with build actions
A BuildAction runs inside the Gradle process and receives a BuildController.
The controller exposes several ways to query tooling models for the build, for individual projects, or for included builds.
getModel/findModel versus fetch
The classic ways to query a model from a BuildAction are BuildController.getModel(…) and BuildController.findModel(…):
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getModel(…)returns the requested model, or throws an exception if the model cannot be built — for example because the target project’s configuration script fails to evaluate. -
findModel(…)returnsnullwhen the model type is not supported, but still propagates exceptions thrown while building the model.
When either of these calls throws, the build action itself fails. Any models that were already collected by the action are discarded, and the client receives a single failure for the whole sync.
Starting with Gradle 9.3, BuildController.fetch(…) offers a resilient alternative.
Each fetch(…) call returns a FetchModelResult that carries:
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The fetched model — accessible via
FetchModelResult.getModel(), ornullif the model could not be built. -
Any failures encountered while building the model — accessible via
FetchModelResult.getFailures()as a collection ofFailurevalues.
Unlike getModel/findModel, fetch(…) does not throw when the build-side fails to produce the model.
The build action can inspect the failures, decide whether to continue, and request more models.
This is the recommended API for IDEs and tools that want to deliver a partial sync result when part of the build is broken, rather than failing the whole operation on the first error:
public class FetchEclipseModelAction implements BuildAction<EclipseProjectResult> {
@Override
public EclipseProjectResult execute(BuildController controller) {
FetchModelResult<EclipseProject> result = controller.fetch(EclipseProject.class);
EclipseProject model = result.getModel(); // may be null
Collection<? extends Failure> failures = result.getFailures();
return new EclipseProjectResult(model, failures);
}
}
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Resilient sync
The Gradle 9.4 release completes the daemon-side support for resilient sync: building tooling models for as much of the build as configured successfully, and reporting the rest as structured failures instead of aborting the whole operation.
When the build action queries models through BuildController.fetch(…), the daemon will:
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Continue model building for projects,
buildSrc, and included builds that configured successfully even when other parts of the build fail. -
Return a partial
GradleBuildmodel that includes every project Gradle was able to discover from the settings script, along with the collected failures, so the IDE can present a best-effort project structure. -
Return a partial
KotlinDslScriptsModelthat carries editor data for the Kotlin DSL scripts Gradle was able to resolve, with the unresolved scripts reported throughFetchModelResult.getFailures(). -
Serve any other tooling model for projects,
buildSrc, and included builds whose configuration succeeded — for example, an IDE can still obtain anEclipseProjectorIdeaProjectmodel for the parts of a composite build that configured cleanly, while the failing parts are reported as failures on the correspondingfetch(…)calls.
There is no separate opt-in: using fetch(…) enables the resilient behaviour for that call.
Calls made through getModel(…) or findModel(…) continue to fail fast as before.
Running tasks together with a build action
A build action can request that tasks run as part of the same Gradle invocation:
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BuildActionExecuter.forTasks(…)schedules tasks that run before the action executes. Passing an empty array runs the build’s default tasks. Omitting the call (or passingnull) skips task execution entirely. -
For two-phase actions created via
ProjectConnection.action(), theprojectsLoadedaction runs after settings are evaluated and thebuildFinishedaction runs after the scheduled tasks have executed.
Prior to Gradle 9.4, if any of the scheduled tasks failed, Gradle aborted the invocation before the model-producing action got a chance to run.
The buildFinished action of a phased build was skipped entirely, and the client only received the task failure.
Starting with Gradle 9.4, the model-producing action — including the buildFinished action of a phased build — runs even when scheduled tasks fail.
The task failures are still reported to the client as a build failure, but the action gets a chance to collect and deliver its result first through the IntermediateResultHandler.
Combined with BuildController.fetch(…), this means an IDE can:
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Schedule preparatory tasks (for example, code generation) before sync.
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Still receive useful model information when one of those tasks fails, instead of an opaque build failure.
Note that an action that uses getModel(…) may itself fail when it queries a model whose underlying configuration was disturbed by the task failure.
Use fetch(…) to inspect the failures and continue building remaining models.