STEP 1
Select VLM Run in workflow
Pick VLM Run app in the workflow builder [4] - just one click to select the app.
VLM Run Integration
Vision-language API for running multimodal AI jobs on images and video. Connect VLM Run to the rest of your stack so AI outputs can trigger real workflow actions. Start with Watch Completed Predictions, then use Get a Completion or List Files to turn results into useful next steps.
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Supported triggers and actions for VLM Run integration
Triggers can detect changes in VLM Run and run actions that can create, search or modify data inside VLM Run automatically [3] — exactly how you set them.
- Watch Completed PredictionsTriggers when a prediction has been completed.
- Get a CompletionRetrieves the results of parsing or transcribing.
- List FilesRetrieves a list of uploaded files.
- Analyze an ImageGenerates a structured prediction for the given image.
- Make an API CallPerforms an arbitrary authorized API call.
- Parse a DocumentGenerates structured predictions for the given document.
- Parse a VideoGenerates structured predictions for the given video.
- Transcribe an AudioGenerates structured prediction for the given audio file.
- Upload a FileUploads a file to VLM.
How to integrate VLM Run in automation workflow?
3 simple steps to make your VLM Run connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect VLM Run
When prompted, authorize access to VLM Run in WEXTL once. VLM Run credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your VLM Run account. Approve?
STEP 3
Build a workflow
Build your workflow with VLM Run yourself or with WEXTL® AI Builder. Connect VLM Run to any available integrations [5], or use HTTP node to go beyond them.
VLM Run
How VLM Run connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever VLM Run app is called in workflows. That allows your ai automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that VLM Run supports.
The following table illustrates what fields VLM Run integration require during authorization flow inside our workflow builder [4].
Connect VLM Run
API Key*Text
••••••••
Demonstration of VLM Run connection step inside WEXTL Workflow Builder [4].
| Field | Type | Help |
|---|---|---|
API KeyRequired | password | — |
Connect VLM Run to popular apps on WEXTL
Enter a name of the other app you want to sync with VLM Run below. Click on selected app to explore integration options with VLM Run. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with VLM Run integration
Select Watch Completed Predictions trigger from VLM Run - this will be a starting point in your automation. Whenever event happens in VLM Run, workflow will start [7] from Watch Completed Predictions node.
Search for Upload a File, connect it as the next step of integration sequence. You can use filters between Watch Completed Predictions and Upload a File, so only important data pass from Watch Completed Predictions to the next step. WEXTL gives you full control over the process of VLM Run automation. All parts of workflow are visible on the canvas [4].
VLM Run on WEXTL has 9 modules for combining ai automations. Explore VLM Run documentation for more.
Video slide demonstrates how Watch Completed Predictions and Upload a File [6] nodes are used in VLM Run workflow.
Frequently asked questions
Common questions about automating VLM Run in your workflows.
VLM Run has 1 trigger, including "Watch Completed Predictions". Triggers are start points of the workflow, and automations may start from them.
Integration has 8 actions, including "Get a Completion", "List Files", and "Analyze an Image", and more. Refer to our VLM Run Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The VLM Run integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by VLM Run official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where VLM Run provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever VLM Run or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for VLM Run inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with VLM Run modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the VLM Run integration.
- VLM Run integration source code, module specs and credentials implementation.
- Internal VLM Run integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official VLM Run vendor API documentation — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® Visual Workflow Builder, anonymized data from our technical support team.
- WEXTL® Apps Library
- WEXTL® VLM Run App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation