How to connect OpenAI Vision and Moxie
Create a New Scenario to Connect OpenAI Vision and Moxie
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 OpenAI Vision, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Vision or Moxie will be your first step. To do this, click "Choose an app," find OpenAI Vision or Moxie, and select the appropriate trigger to start the scenario.

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

OpenAI Vision
Configure the 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.
Add the Moxie Node
Next, click the plus (+) icon on the OpenAI Vision node, select Moxie from the list of available apps, and choose the action you need from the list of nodes within Moxie.

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Authenticate Moxie
Now, click the Moxie node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Moxie settings. Authentication allows you to use Moxie through Latenode.
Configure the OpenAI Vision and Moxie 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 Vision and Moxie 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.

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AI Anthropic Claude 3
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Moxie
Trigger on Webhook
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OpenAI Vision
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Save and Activate the Scenario
After configuring OpenAI Vision, Moxie, 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 OpenAI Vision and Moxie integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Moxie (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Vision and Moxie
OpenAI Vision + Moxie + Slack: When OpenAI Vision detects a product defect in an image, a ticket is created in Moxie, and a notification is sent to a designated Slack channel.
Moxie + OpenAI Vision + Jira: When a new task is created in Moxie, an image is automatically added to OpenAI Vision for analysis, and a linked bug report is created in Jira.
OpenAI Vision and Moxie integration alternatives
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 Moxie
Use Moxie in Latenode to automate data entry and validation workflows. Pull data from multiple sources, use Moxie to clean and standardize it, then push the refined data to your databases or apps. Benefit from Latenode's visual editor and scalable architecture to handle large datasets efficiently without code.
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FAQ OpenAI Vision and Moxie
How can I connect my OpenAI Vision account to Moxie using Latenode?
To connect your OpenAI Vision account to Moxie on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Vision and click on "Connect".
- Authenticate your OpenAI Vision and Moxie accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically tag images in Moxie based on OpenAI Vision analysis?
Yes, you can! Latenode allows you to automatically analyze images using OpenAI Vision and update Moxie records. This streamlines workflows and saves significant time.
What types of tasks can I perform by integrating OpenAI Vision with Moxie?
Integrating OpenAI Vision with Moxie allows you to perform various tasks, including:
- Automatically categorizing images uploaded to Moxie based on visual content.
- Flagging inappropriate images in Moxie using OpenAI Vision’s content detection.
- Extracting text from images in Moxie using OCR and storing it as metadata.
- Generating automated responses in Moxie based on image analysis results.
- Enriching Moxie customer profiles with insights derived from user-submitted images.
How does Latenode handle image processing limits for OpenAI Vision?
Latenode lets you manage API calls and implement error handling, ensuring stable workflows even with high image volumes.
Are there any limitations to the OpenAI Vision and Moxie integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex visual analysis requiring highly specific models might need custom coding.
- Rate limits imposed by OpenAI Vision and Moxie APIs can affect processing speed.
- The accuracy of image analysis depends on the quality and clarity of the images.