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Automatically triage Atera tickets by extracting and classifying image data using OpenAI Vision, and route incidents faster with Latenode's visual no-code editor and affordable execution-based pricing.
Connect OpenAI Vision and Atera in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

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

Select the OpenAI Vision node from the app selection panel on the right.

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

OpenAI Vision
β
Atera
Now, click the Atera node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Atera settings. Authentication allows you to use Atera through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
β
AI Anthropic Claude 3
β
Atera
Trigger on Webhook
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OpenAI Vision
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β
Iterator
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Webhook response
After configuring OpenAI Vision, Atera, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the OpenAI Vision and Atera integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Atera (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Atera + OpenAI Vision + Slack: When a new or updated Atera ticket occurs, this flow analyzes attached images/screenshots (if any) using OpenAI Vision. The identified problem is then posted to a dedicated Slack channel to alert the relevant team.
Atera + OpenAI Vision + Jira: When a new Atera ticket is created, this flow uses OpenAI Vision to analyze any attached images or screenshots to understand the issue. A new Jira issue is then created with the analyzed information.
About OpenAI Vision
Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.
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About Atera
Use Atera with Latenode to automate IT support tasks. Trigger workflows on alerts, automatically create tickets, or update asset info. Integrate Atera's monitoring data with other apps for deeper insights and faster issue resolution. Customize rules and actions using Latenode's visual editor or JavaScript for precise automation.
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How can I connect my OpenAI Vision account to Atera using Latenode?
To connect your OpenAI Vision account to Atera on Latenode, follow these steps:
Can I automatically categorize Atera tickets based on images?
Yes, you can! Latenode enables this by using OpenAI Vision to analyze images in Atera tickets, automatically categorizing and routing them. This saves time and improves response efficiency.
What types of tasks can I perform by integrating OpenAI Vision with Atera?
Integrating OpenAI Vision with Atera allows you to perform various tasks, including:
How does Latenode enhance OpenAI Vision data processing?
Latenode enhances processing by enabling custom JavaScript code to pre-process images and filter data before sending it to OpenAI Vision, increasing precision.
Are there any limitations to the OpenAI Vision and Atera integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: