How to connect Google Dialogflow ES and OpenAI Responses
Create a New Scenario to Connect Google Dialogflow ES 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 Dialogflow ES, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Dialogflow ES or OpenAI Responses will be your first step. To do this, click "Choose an app," find Google Dialogflow ES or OpenAI Responses, 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 Responses Node
Next, click the plus (+) icon on the Google Dialogflow ES 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 Dialogflow ES
⚙
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 Dialogflow ES 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 Dialogflow ES 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
⚙
AI Anthropic Claude 3
⚙
OpenAI Responses
Trigger on Webhook
⚙
Google Dialogflow ES
⚙
⚙
Iterator
⚙
Webhook response
Save and Activate the Scenario
After configuring Google Dialogflow ES, 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 Dialogflow ES and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES 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 Dialogflow ES and OpenAI Responses
Google Dialogflow ES + OpenAI Responses + Slack: When a conversation in Dialogflow ES requires human intervention (e.g., based on intent detection), the bot's responses are sent to OpenAI to generate a summary. This summary is then posted to a designated Slack channel for agents to review and take over the conversation.
Google Dialogflow ES + OpenAI Responses + Google Sheets: Analyze customer feedback from Dialogflow ES to identify trends. The chatbot's responses are sent to OpenAI for sentiment analysis and insights extraction. These insights, along with the original feedback, are then stored in a Google Sheet for further analysis and reporting.
Google Dialogflow ES and OpenAI Responses 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.
Similar apps
Related categories
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.
Similar apps
Related categories
See how Latenode works
FAQ Google Dialogflow ES and OpenAI Responses
How can I connect my Google Dialogflow ES account to OpenAI Responses using Latenode?
To connect your Google Dialogflow ES account to OpenAI Responses 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 Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate personalized customer service replies using Google Dialogflow ES and OpenAI Responses integration?
Yes, you can. Latenode lets you build complex flows that analyze intent from Dialogflow ES, then use OpenAI Responses to craft tailored, engaging replies, enhancing customer satisfaction.
What types of tasks can I perform by integrating Google Dialogflow ES with OpenAI Responses?
Integrating Google Dialogflow ES with OpenAI Responses allows you to perform various tasks, including:
- Generate personalized responses to customer inquiries based on intent analysis.
- Automate content creation for chatbot interactions using AI-powered text generation.
- Improve chatbot accuracy by continuously training OpenAI Responses with Dialogflow ES data.
- Create dynamic FAQs based on common questions and AI-generated answers.
- Route complex queries to human agents based on AI confidence scores.
How does Latenode handle Google Dialogflow ES intent training data?
Latenode allows you to use intent data to dynamically update OpenAI Responses prompts, ensuring up-to-date and relevant AI-driven conversations.
Are there any limitations to the Google Dialogflow ES and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the OpenAI Responses API may affect high-volume workflows.
- Complex Dialogflow ES agent configurations may require advanced Latenode workflow design.
- AI content quality depends on the quality of training data and prompt engineering.