Connect Gtwy and voyager infinity to Build Intelligent Automations
Choose a Trigger
When this happens...
Alert On Error
Alert On Missing Variables
Alert On Fallback
Choose an Action
Automatically do this!
- Request a new Action for voyager infinity
Enable Integrations or automations with these events of Gtwy and voyager infinity
Enable Integrations or automations with these events of Gtwy and voyager infinity
Triggers
Alert On Error
This will trigger the flow when your bridge gives error.
Alert On Missing Variables
Get alerts if variables go missing in all or specific bridge.
Alert On Fallback
This will trigger an alert when the fallback mechanism is activated due to a failure in the primary process.
Actions
Talk to AI
This action will send your message to AI. Configure you bridge [https://ai.walkover.in]()
AI Agent
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Frequently Asked Questions
To start, connect both your Gtwy and voyager infinity accounts to viaSocket. Once connected, you can set up a workflow where an event in Gtwy triggers actions in voyager infinity (or vice versa).
Absolutely. You can customize how Gtwy data is recorded in voyager infinity. This includes choosing which data fields go into which fields of voyager infinity, setting up custom formats, and filtering out unwanted information.
The data sync between Gtwy and voyager infinity typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Gtwy and voyager infinity. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Gtwy
AI Middleware is a platform designed to facilitate seamless integration and interaction between artificial intelligence systems and other software applications. It acts as an intermediary layer that simplifies the communication and data exchange processes, enabling developers to build more efficient and scalable AI-driven solutions.
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