How to connect Google Vertex AI and OneSignal
Create a New Scenario to Connect Google Vertex AI and OneSignal
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or OneSignal will be your first step. To do this, click "Choose an app," find Google Vertex AI or OneSignal, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

Google Vertex AI
Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the OneSignal Node
Next, click the plus (+) icon on the Google Vertex AI node, select OneSignal from the list of available apps, and choose the action you need from the list of nodes within OneSignal.

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Authenticate OneSignal
Now, click the OneSignal node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OneSignal settings. Authentication allows you to use OneSignal through Latenode.
Configure the Google Vertex AI and OneSignal Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Vertex AI and OneSignal Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, OneSignal, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Vertex AI and OneSignal integration works as expected. Depending on your setup, data should flow between Google Vertex AI and OneSignal (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and OneSignal
Airtable + Google Vertex AI + OneSignal: When new customer feedback is added to Airtable, analyze the sentiment using Google Vertex AI, and then send targeted push notifications via OneSignal based on the sentiment analysis.
Shopify + Google Vertex AI + OneSignal: When a customer abandons their cart in Shopify, use Google Vertex AI to personalize a message, and then send a OneSignal push notification with recommended alternative products.
Google Vertex AI and OneSignal integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About OneSignal
Use OneSignal in Latenode to automate targeted push notifications. Create flows that trigger messages based on user behavior, data changes, or scheduled events. Optimize engagement by connecting OneSignal to your CRM, analytics, and marketing tools for personalized, automated campaigns.
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See how Latenode works
FAQ Google Vertex AI and OneSignal
How can I connect my Google Vertex AI account to OneSignal using Latenode?
To connect your Google Vertex AI account to OneSignal on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and OneSignal accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I personalize push notifications with AI-generated content?
Yes, you can! Latenode enables AI-driven personalization by using Google Vertex AI to generate unique content for each OneSignal notification, boosting engagement with tailored messaging.
What types of tasks can I perform by integrating Google Vertex AI with OneSignal?
Integrating Google Vertex AI with OneSignal allows you to perform various tasks, including:
- Automatically translate push notification content into multiple languages.
- Analyze user segments via AI and send targeted promotions.
- Summarize lengthy articles into concise push notification previews.
- Use AI to optimize send times for maximum engagement.
- Generate personalized welcome messages for new app users.
Can I use custom JavaScript functions within my Vertex AI and OneSignal workflows?
Yes! Latenode supports custom JavaScript code, allowing advanced data manipulation and complex logic within your Google Vertex AI and OneSignal automations.
Are there any limitations to the Google Vertex AI and OneSignal integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both Google Vertex AI and OneSignal still apply.
- Complex AI models require adequate Latenode compute resources.
- Initial setup requires familiarity with both platforms’ APIs.