How to connect LiveChat and Google Vertex AI
Create a New Scenario to Connect LiveChat and Google Vertex AI
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 LiveChat, triggered by another scenario, or executed manually (for testing purposes). In most cases, LiveChat or Google Vertex AI will be your first step. To do this, click "Choose an app," find LiveChat or Google Vertex AI, and select the appropriate trigger to start the scenario.

Add the LiveChat Node
Select the LiveChat node from the app selection panel on the right.

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

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Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the LiveChat and Google Vertex AI 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 LiveChat and Google Vertex AI 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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Google Vertex AI
Trigger on Webhook
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LiveChat
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Webhook response
Save and Activate the Scenario
After configuring LiveChat, Google Vertex AI, 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 LiveChat and Google Vertex AI integration works as expected. Depending on your setup, data should flow between LiveChat and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect LiveChat and Google Vertex AI
LiveChat + Google Vertex AI + Slack: When a new chat is initiated in LiveChat, the conversation is analyzed by Google Vertex AI for sentiment. If the sentiment is negative, a notification is sent to a designated Slack channel.
LiveChat + Google Vertex AI + Zendesk: When a LiveChat conversation is deactivated, Google Vertex AI summarizes the chat. This summary, along with the chat transcript, is then used to create a new ticket in Zendesk.
LiveChat and Google Vertex AI integration alternatives
About LiveChat
Integrate LiveChat into Latenode to automate support workflows. Route chats based on keywords, tag conversations, or trigger automated responses. Connect LiveChat data to other apps (CRM, databases) for unified insights. Simplify complex routing and ensure agents have context – all visually, and without code.
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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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See how Latenode works
FAQ LiveChat and Google Vertex AI
How can I connect my LiveChat account to Google Vertex AI using Latenode?
To connect your LiveChat account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select LiveChat and click on "Connect".
- Authenticate your LiveChat and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize chat transcripts using AI?
Yes, you can! Latenode allows you to trigger Google Vertex AI from LiveChat events to summarize conversations and store key information, improving agent efficiency.
What types of tasks can I perform by integrating LiveChat with Google Vertex AI?
Integrating LiveChat with Google Vertex AI allows you to perform various tasks, including:
- Automatically detecting customer sentiment during a LiveChat session.
- Generating personalized product recommendations based on chat history.
- Creating support tickets enriched with AI-driven issue summaries.
- Routing chats to the most appropriate agent using AI skills matching.
- Translating chat conversations in real-time for multilingual support.
How do I handle LiveChat events within Latenode workflows?
Latenode offers triggers for new chat messages and completed chats, letting you start automations based on LiveChat activity.
Are there any limitations to the LiveChat and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Google Vertex AI costs depend on your usage and model selection.
- Rate limits may apply to LiveChat API calls based on your plan.
- Complex prompt engineering in Google Vertex AI may require some technical knowledge.