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Orchestrate fallback logic for AI responses: If Google Vertex AI fails, use OpenAI Responses as a backup. Latenode simplifies this with a visual editor, offering affordable scaling and customization via JavaScript for robust, reliable AI workflows.
Connect Google Vertex AI and OpenAI Responses in minutes with Latenode.
Create Google Vertex AI to OpenAI Responses workflow
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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.
Google Vertex AI
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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:
JavaScript
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AI Anthropic Claude 3
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OpenAI Responses
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, 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.
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.
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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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:
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:
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: