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

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Twilio

Authenticate Twilio
Now, click the Twilio node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Twilio settings. Authentication allows you to use Twilio through Latenode.
Configure the Google Vertex AI and Twilio 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 Twilio 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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AI Anthropic Claude 3
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Twilio
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, Twilio, 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 Twilio integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Twilio (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 Twilio
Google Sheets + Google Vertex AI + Twilio: When a new row is added to a Google Sheet, the data is sent to Google Vertex AI to analyze the customer feedback within that row. Based on the analysis, a targeted SMS message is then sent via Twilio.
Twilio + Google Vertex AI + Zendesk: When a new SMS message is received by Twilio, the message content is sent to Google Vertex AI for sentiment analysis. If the analysis indicates negative sentiment, a high-priority ticket is created in Zendesk.
Google Vertex AI and Twilio 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 Twilio
Use Twilio in Latenode to automate SMS notifications or build call workflows. Send appointment reminders, track delivery status, or verify users via code. Combine Twilio with other apps in Latenode's visual editor, adding logic and AI to scale your communication automation without complex coding.
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FAQ Google Vertex AI and Twilio
How can I connect my Google Vertex AI account to Twilio using Latenode?
To connect your Google Vertex AI account to Twilio 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 Twilio accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze customer sentiment from SMS messages and respond accordingly?
Yes, easily! Latenode lets you build workflows that analyze SMS sentiment via Google Vertex AI, then trigger customized Twilio responses based on the result. Automate better customer experiences.
What types of tasks can I perform by integrating Google Vertex AI with Twilio?
Integrating Google Vertex AI with Twilio allows you to perform various tasks, including:
- Sending personalized SMS based on AI-driven customer segmentation.
- Generating SMS content using AI and delivering via Twilio.
- Routing calls based on real-time AI analysis of voice data.
- Automating support ticket creation from negative sentiment SMS.
- Building AI-powered chatbots for SMS customer service.
How can I handle large volumes of messages using Google Vertex AI on Latenode?
Latenode's scalable architecture lets you process massive data volumes, leveraging Google Vertex AI's power and Twilio's reach without performance bottlenecks.
Are there any limitations to the Google Vertex AI and Twilio integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both Google Vertex AI and Twilio apply.
- Complex AI models may require significant processing time.
- Cost considerations for both services should be evaluated.