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

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OpenAI Responses
Authenticate OpenAI Responses
Now, click the OpenAI Responses node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI Responses settings. Authentication allows you to use OpenAI Responses through Latenode.
Configure the Google Vertex AI and OpenAI Responses 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 OpenAI Responses 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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OpenAI Responses
Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, OpenAI Responses, 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 OpenAI Responses integration works as expected. Depending on your setup, data should flow between Google Vertex AI and OpenAI Responses (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 OpenAI Responses
Slack + Google Vertex AI + Slack: When a new message is posted to a Slack channel, the message content is sent to Google Vertex AI for analysis. The sentiment analysis result is then posted back to the same Slack channel.
Google Sheets + Google Vertex AI + Google Sheets: When a new row is added to a Google Sheet, Google Vertex AI generates content ideas based on the row data. The generated content is then added as a new row to the same Google Sheet.
Google Vertex AI and OpenAI Responses 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 OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results – all without code.
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FAQ Google Vertex AI and OpenAI Responses
How can I connect my Google Vertex AI account to OpenAI Responses using Latenode?
To connect your Google Vertex AI account to OpenAI Responses 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 OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I classify customer feedback using both AI models?
Yes, you can! Latenode allows you to chain requests, using Google Vertex AI to prepare data for OpenAI Responses, creating highly accurate classifications. Benefit from combined AI power.
What types of tasks can I perform by integrating Google Vertex AI with OpenAI Responses?
Integrating Google Vertex AI with OpenAI Responses allows you to perform various tasks, including:
- Enhancing text generation with advanced prompt engineering.
- Analyzing sentiment from customer reviews at scale.
- Generating personalized content for marketing campaigns.
- Automating content moderation for online platforms.
- Improving chatbot responses via combined intelligence.
How can I handle large volumes of data via Vertex AI on Latenode?
Latenode excels at high-volume tasks, letting you process extensive data with Vertex AI’s robust infrastructure. Scale effortlessly with our platform's advanced features.
Are there any limitations to the Google Vertex AI and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex prompt designs might require advanced scripting knowledge.
- Rate limits are dependent on your Google Vertex AI and OpenAI Responses plans.
- Integration performance depends on data complexity and API response times.