How to connect Google Vertex AI and Vapi
Create a New Scenario to Connect Google Vertex AI and Vapi
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 Vapi will be your first step. To do this, click "Choose an app," find Google Vertex AI or Vapi, 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 Vapi Node
Next, click the plus (+) icon on the Google Vertex AI node, select Vapi from the list of available apps, and choose the action you need from the list of nodes within Vapi.

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Vapi

Authenticate Vapi
Now, click the Vapi node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Vapi settings. Authentication allows you to use Vapi through Latenode.
Configure the Google Vertex AI and Vapi 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 Vapi 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.

JavaScript
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AI Anthropic Claude 3
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Vapi
Trigger on Webhook
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Google Vertex AI
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Vertex AI, Vapi, 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 Vapi integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Vapi (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 Vapi
Vapi + Google Vertex AI + Google Sheets: When a new call recording is available in Vapi, the audio file is analyzed using Google Vertex AI to extract sentiment and key topics. The extracted insights, including sentiment scores, are then logged into a Google Sheet for tracking and analysis.
Vapi + Google Vertex AI + HubSpot: After a call concludes in Vapi, the conversation is analyzed by Google Vertex AI to generate a call summary and extract key insights. These insights and the summary are then used to update the corresponding lead's record in HubSpot, providing sales teams with valuable context.
Google Vertex AI and Vapi 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 Vapi
Use Vapi in Latenode to validate and standardize address data. Ensure accurate deliveries and prevent errors by cleaning addresses directly within your workflows. Vapi integration inside Latenode makes data cleaning repeatable and scalable without extra coding. Automate address verification as part of lead gen, order processing, or CRM upkeep.
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FAQ Google Vertex AI and Vapi
How can I connect my Google Vertex AI account to Vapi using Latenode?
To connect your Google Vertex AI account to Vapi 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 Vapi accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate AI-driven call transcript analysis?
Yes! Latenode lets you automate Google Vertex AI analysis of Vapi call transcripts. Enhance efficiency by instantly extracting insights from conversations, scaling operations without extensive coding.
What types of tasks can I perform by integrating Google Vertex AI with Vapi?
Integrating Google Vertex AI with Vapi allows you to perform various tasks, including:
- Analyzing call transcripts for sentiment using AI.
- Generating call summaries based on AI insights.
- Routing calls based on real-time intent analysis.
- Automatically updating CRM data after each call.
- Creating personalized follow-up messages using AI.
Can I use custom JavaScript code with Google Vertex AI in Latenode?
Yes, Latenode allows custom JavaScript within your Google Vertex AI workflows, enabling advanced data manipulation and tailored AI processing.
Are there any limitations to the Google Vertex AI and Vapi integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of Google Vertex AI and Vapi still apply.
- Complex prompt engineering might require advanced AI knowledge.
- Real-time processing depends on the speed of external APIs.