How to connect OpenAI Responses and AI GPT Router
Create a New Scenario to Connect OpenAI Responses and AI GPT Router
In the workspace, click the โCreate New Scenarioโ button.

Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a OpenAI Responses, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Responses or AI GPT Router will be your first step. To do this, click "Choose an app," find OpenAI Responses or AI GPT Router, and select the appropriate trigger to start the scenario.

Add the OpenAI Responses Node
Select the OpenAI Responses node from the app selection panel on the right.

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

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Authenticate AI GPT Router
Now, click the AI GPT Router node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your AI GPT Router settings. Authentication allows you to use AI GPT Router through Latenode.
Configure the OpenAI Responses and AI GPT Router 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 OpenAI Responses and AI GPT Router 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 donโt 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenAI Responses, AI GPT Router, and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the OpenAI Responses and AI GPT Router integration works as expected. Depending on your setup, data should flow between OpenAI Responses and AI GPT Router (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Responses and AI GPT Router
AI GPT Router + OpenAI Responses + Slack: When a response is received from OpenAI via the AI GPT Router, this automation checks if the response is flagged as urgent. If so, it sends the response to a dedicated Slack channel for immediate human review.
AI GPT Router + OpenAI Responses + Google Sheets: This flow captures OpenAI responses routed through the AI GPT Router. It logs the different types of AI answers and the responsible model to a Google Sheet for performance analysis, allowing you to track model effectiveness and response patterns.
OpenAI Responses and AI GPT Router integration alternatives
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 โ all without code.
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About AI GPT Router
Use AI GPT Router in Latenode to intelligently route and process text. Automate content summarization, sentiment analysis, or language translation based on custom criteria. Chain AI tasks with no-code tools, APIs, and file parsing nodes. Scale complex AI workflows easily with prompt-driven logic and affordable, execution-based pricing.
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FAQ OpenAI Responses and AI GPT Router
How can I connect my OpenAI Responses account to AI GPT Router using Latenode?
To connect your OpenAI Responses account to AI GPT Router on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Responses and click on "Connect".
- Authenticate your OpenAI Responses and AI GPT Router accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I A/B test different prompts?
Yes, you can! Latenode enables A/B testing of prompts, improving response quality. Route requests and compare OpenAI Responses outputs dynamically.
What types of tasks can I perform by integrating OpenAI Responses with AI GPT Router?
Integrating OpenAI Responses with AI GPT Router allows you to perform various tasks, including:
- Dynamically choosing the best AI model for each user query.
- Creating sophisticated chatbot flows with intelligent routing.
- Building content generation pipelines with failover AI models.
- Optimizing AI costs by routing tasks to cheaper models first.
- Implementing complex prompt strategies with automated A/B testing.
What happens when OpenAI Responses is overloaded on Latenode?
Latenode lets you use AI GPT Router as a backup, ensuring your workflows keep running smoothly.
Are there any limitations to the OpenAI Responses and AI GPT Router integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits are dependent on your OpenAI Responses and AI GPT Router plans.
- Complex routing logic can increase workflow execution time.
- Cost optimization requires careful monitoring of AI model usage.