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

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

Google Chat
Configure the Google Chat
Click on the Google Chat node to configure it. You can modify the Google Chat 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 Chat 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 Chat 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 Chat 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.

JavaScript
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AI Anthropic Claude 3
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OpenAI Responses
Trigger on Webhook
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Google Chat
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Chat, 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 Chat and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Google Chat 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 Chat and OpenAI Responses
Google Chat + OpenAI Responses + Google Docs: When a new message arrives in Google Chat, its text is sent to OpenAI to generate a summary. The generated summary is then appended to a specified Google Docs document.
Google Chat + OpenAI Responses + Google Calendar: When a new message is received in Google Chat, its content is analyzed by OpenAI to extract meeting details like time, date and participants. This data is then used to create a new event in Google Calendar.
Google Chat and OpenAI Responses integration alternatives
About Google Chat
Use Google Chat in Latenode for automated notifications & alerts. Trigger messages based on events in other apps, like new database entries or payment confirmations. Centralize alerts and status updates across services within a single, scalable Latenode workflow. Add custom logic and AI for smart notifications.
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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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See how Latenode works
FAQ Google Chat and OpenAI Responses
How can I connect my Google Chat account to OpenAI Responses using Latenode?
To connect your Google Chat account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Chat and click on "Connect".
- Authenticate your Google Chat and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize Google Chat conversations using OpenAI?
Yes, you can! Latenode allows you to trigger OpenAI to summarize chats and post summaries back to Google Chat. Benefit from AI with a visual no-code flow, no complex coding needed.
What types of tasks can I perform by integrating Google Chat with OpenAI Responses?
Integrating Google Chat with OpenAI Responses allows you to perform various tasks, including:
- Automatically answer common questions in Google Chat channels.
- Analyze sentiment in chat messages and trigger alerts.
- Generate meeting agendas based on Google Chat discussions.
- Translate Google Chat messages into different languages.
- Create personalized chatbot experiences within Google Chat.
How does Latenode handle Google Chat message formatting?
Latenode preserves basic text formatting from Google Chat when processing messages. For advanced formatting, use JavaScript code blocks.
Are there any limitations to the Google Chat and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google Chat and OpenAI APIs may affect workflow speed.
- Complex formatting in Google Chat may require custom parsing with JavaScript.
- Integration performance depends on the complexity of OpenAI prompts.