[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-09-04 UTC。"],[[["\u003cp\u003eThe Vertex AI - Predict task enables synchronous online predictions by sending requests to a model endpoint within the Vertex AI service.\u003c/p\u003e\n"],["\u003cp\u003eBefore using the Vertex AI - Predict task, you must enable the Vertex AI API, deploy a model to an endpoint, and create an authentication profile with the required IAM permissions.\u003c/p\u003e\n"],["\u003cp\u003eVPC Service Controls should not be set up for Application Integration when using the Vertex AI - Predict task, as it will cause the task to stop functioning.\u003c/p\u003e\n"],["\u003cp\u003eThe task configuration involves selecting an authentication profile and defining input parameters such as the region, project ID, endpoint, and request JSON.\u003c/p\u003e\n"],["\u003cp\u003eThe output of the Vertex AI - Predict task is a prediction response, and you can configure error handling and refer to the documentation for quotas and limits.\u003c/p\u003e\n"]]],[],null,["# Vertex AI - Predict task\n\nSee the [supported connectors](/integration-connectors/docs/connector-reference-overview) for Application Integration.\n\nVertex AI - Predict task\n========================\n\n|\n| **Preview**\n|\n|\n| This feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nThe **Vertex AI - Predict** task lets you perform an online prediction. Online predictions are synchronous requests made to a model [endpoint](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints). You can use online predictions when making requests in response to application inputs or when you require timely inferences.\n\n\n[Vertex AI](/vertex-ai/docs) is a Google Cloud service that allows you to train and deploy ML models and AI applications, and customize large language models (LLMs) for use in your AI-powered applications.\n\nBefore you begin\n----------------\n\nEnsure that you perform the following tasks in your Google Cloud project before configuring the **Vertex AI - Predict** task:\n\n1. Enable the Vertex AI API (`aiplatform.googleapis.com`).\n\n\n [Enable the Vertex AI API](https://console.cloud.google.com/flows/enableapi?apiid=aiplatform.googleapis.com)\n2. Deploy the [model](/vertex-ai/docs/reference/rest/v1/projects.locations.models) resource to the [endpoint](/vertex-ai/docs/reference/rest/v1/projects.locations.endpoints).\n3. Create an [authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile). Application Integration uses an authentication profile to connect to an authentication endpoint for the **Vertex AI - Predict** task. **Note:** If you're creating an authentication profile of [Service account](/application-integration/docs/configure-authentication-profiles#service-account) type, then ensure that the service account is assigned with the IAM role that contains the following IAM permission(s):\n | - `aiplatform.endpoints.predict`\n |\n | To know about IAM permissions and the predefined IAM roles that grant them, see [IAM permissions reference](/iam/docs/permissions-reference#search).\n |\n | For information about granting additional roles or permissions to a service account, see [Granting, changing, and revoking access](/iam/docs/granting-changing-revoking-access).\n4. Ensure that [VPC Service Controls](/application-integration/docs/vpc-service-controls) is **NOT** setup for Application Integration in your Google Cloud project. **Warning:** **Vertex AI - Predict task** will not function or will stop functioning if [VPC Service Controls](/application-integration/docs/vpc-service-controls) is setup for Application Integration in your Google Cloud project.\n\nConfigure the Vertex AI - Predict task\n--------------------------------------\n\n1. In the Google Cloud console, go to the **Application Integration** page.\n\n [Go to Application Integration](https://console.cloud.google.com/integrations)\n2. In the navigation menu, click **Integrations** .\n\n\n The **Integrations** page appears listing all the integrations available in the Google Cloud project.\n3. Select an existing integration or click **Create integration** to create a new one.\n\n\n If you are creating a new integration:\n 1. Enter a name and description in the **Create Integration** pane.\n 2. Select a region for the integration. **Note:** The **Regions** dropdown only lists the regions provisioned in your Google Cloud project. To provision a new region, click **Enable Region** . See [Enable new region](/application-integration/docs/enable-new-region) for more information.\n 3. Select a service account for the integration. You can change or update the service account details of an integration any time from the info **Integration summary** pane in the integration toolbar. **Note:** The option to select a service account is displayed only if you have enabled integration governance for the selected region.\n 4. Click **Create** . The newly created integration opens in the *integration editor*.\n\n\n4. In the *integration editor* navigation bar, click **Tasks** to view the list of available tasks and connectors.\n5. Click and place the **Vertex AI - Predict** element in the integration editor.\n6. Click the **Vertex AI - Predict** element on the designer to view the **Vertex AI - Predict** task configuration pane.\n7. Go to **Authentication** , and select an existing authentication profile that you want to use.\n\n Optional. If you have not created an authentication profile prior to configuring the task, Click **+ New authentication profile** and follow the steps as mentioned in [Create a new authentication profile](/application-integration/docs/configuring-auth-profile#createAuthProfile).\n8. Go to **Task Input** , and configure the displayed inputs fields using the following [Task input parameters](#params) table.\n\n Changes to the inputs fields are saved automatically.\n\nTask input parameters\n---------------------\n\n\nThe following table describes the input parameters of the **Vertex AI - Predict** task:\n\nTask output\n-----------\n\nThe **Vertex AI - Predict** task returns a response containing the [prediction](/vertex-ai/docs/reference/rest/v1/PredictResponse).\n\nError handling strategy\n-----------------------\n\n\nAn error handling strategy for a task specifies the action to take if the task fails due to a [temporary error](/application-integration/docs/error-handling). For information about how to use an error handling strategy, and to know about the different types of error handling strategies, see [Error handling strategies](/application-integration/docs/error-handling-strategy).\n\nQuotas and limits\n-----------------\n\nFor information about quotas and limits, see [Quotas and limits](/application-integration/docs/quotas).\n\nWhat's next\n-----------\n\n- For information about how to use the Vertex AI task with a pre-existing model, see [AI powered applications with Application Integration and Vertex AI](https://www.googlecloudcommunity.com/gc/Integration-Services/AI-powered-applications-with-Application-Integration-and-Vertex/td-p/696540).\n- To learn how to use Vertex AI in Application Integration, see [Enhancing your business integration flows with Vertex AI](https://www.googlecloudcommunity.com/gc/Integration-Services/Enhancing-your-business-integration-flows-with-GenAI-Vertex-AI/td-p/696527).\n- [Test and publish](/application-integration/docs/test-publish-integrations) your integration.\n- Add a [Data Mapping task](/application-integration/docs/data-mapping-task).\n- Learn about [all supported tasks and triggers](/application-integration/docs/how-to-guides#configure-tasks-for-google-cloud-services)."]]
