
When this happens...
New Incident Instant
New Incident acknowledged
Incident Annotated
Incident Escalated

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List generations
Create a generation
Upscale a generation
Add audio to a generation
Delete a generation
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When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when new incidents are created.
Triggers when new incidents are acknowledged.
Triggers when an incident is annotated, meaning additional notes or comments are added to an existing incident.
Triggers when an incident is escalated.
Action is the task that follows automatically within your PagerDuty integrations.
Create a Business Service in PagerDuty.
This action Install an Add-on for your account.
This action delete an add-on.
This action update an add - on.
Retrieve a list of generations with optional filtering and sorting.
Initiate a new generation with the provided prompt

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your PagerDuty and Luma AI accounts to viaSocket. Once connected, you can set up a workflow where an event in PagerDuty triggers actions in Luma AI (or vice versa).
Absolutely. You can customize how PagerDuty data is recorded in Luma AI. This includes choosing which data fields go into which fields of Luma AI, setting up custom formats, and filtering out unwanted information.
The data sync between PagerDuty and Luma AI 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 PagerDuty and Luma AI. 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.
agerDuty is a digital operations management platform that empowers teams to manage and resolve incidents efficiently, ensuring high availability and performance.
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