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

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

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

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OpenAI ChatGPT
Authenticate OpenAI ChatGPT
Now, click the OpenAI ChatGPT node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your OpenAI ChatGPT settings. Authentication allows you to use OpenAI ChatGPT through Latenode.
Configure the Google Dialogflow ES and OpenAI ChatGPT 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 Dialogflow ES and OpenAI ChatGPT 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 ChatGPT
Trigger on Webhook
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Google Dialogflow ES
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Dialogflow ES, OpenAI ChatGPT, 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 Dialogflow ES and OpenAI ChatGPT integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES and OpenAI ChatGPT (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Dialogflow ES and OpenAI ChatGPT
Google Dialogflow ES + OpenAI ChatGPT + Google Sheets: When a user interacts with a Google Dialogflow ES chatbot, the detected intent and user input are sent to OpenAI ChatGPT for further analysis or summarization. The original user input, detected intent, and ChatGPT's response are then logged to a Google Sheet for analysis and training data.
Google Dialogflow ES + OpenAI ChatGPT + Slack: When a customer support dialog is completed in Google Dialogflow ES, the entire conversation is sent to OpenAI ChatGPT to create a summary of the interaction. This summary is then posted to a designated Slack channel for review by support managers.
Google Dialogflow ES and OpenAI ChatGPT integration alternatives
About Google Dialogflow ES
Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.
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About OpenAI ChatGPT
Integrate ChatGPT into Latenode for automated content generation, sentiment analysis, and smart replies. Create workflows that analyze text, classify data, and personalize customer interactions. Combine AI power with Latenode's flexibility: orchestrate complex processes, manage data flow, and connect to any app via API—all without code.
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See how Latenode works
FAQ Google Dialogflow ES and OpenAI ChatGPT
How can I connect my Google Dialogflow ES account to OpenAI ChatGPT using Latenode?
To connect your Google Dialogflow ES account to OpenAI ChatGPT on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Dialogflow ES and click on "Connect".
- Authenticate your Google Dialogflow ES and OpenAI ChatGPT accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate personalized customer support replies?
Yes, you can. Latenode's visual editor makes it easy. Build flows that analyze user input from Google Dialogflow ES and generate tailored OpenAI ChatGPT responses for quicker, better support.
What types of tasks can I perform by integrating Google Dialogflow ES with OpenAI ChatGPT?
Integrating Google Dialogflow ES with OpenAI ChatGPT allows you to perform various tasks, including:
- Generating human-like responses for chatbot interactions using AI.
- Analyzing customer sentiment and adjusting responses accordingly.
- Creating multi-language support via dynamic content translation.
- Summarizing long customer queries for faster agent understanding.
- Training AI models to improve chatbot accuracy over time.
HowdoIhandlecomplexDialogflowESintentsinLatenode?
Latenode lets you use JavaScript code blocks to handle complex Google Dialogflow ES intents, adding custom logic and data transformations beyond basic intent fulfillment.
Are there any limitations to the Google Dialogflow ES and OpenAI ChatGPT integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of Google Dialogflow ES and OpenAI ChatGPT APIs still apply.
- Complex workflows with many steps may require more processing time.
- Custom code within workflows requires JavaScript knowledge.