Requirements
Connecting VLM Run takes an active account plus an API access token from your account settings — no other setup is required.[3]
Get your VLM Run credentials
- API KeypasswordRequired
Connect VLM Run in WEXTL
- Log in to your WEXTL account, add the VLM Run node module to your workflow, and click Create new credential.
- Optional: In the Credential name field, enter a name for the credential.
- Enter the authentication credentials you copied from your VLM Run account, or follow the on-screen instructions to create the credential.
- If prompted, authenticate your account and confirm access.
- If you want to make changes to your credential in the future, follow the steps in Manage credentials →
Notes
Credentials are org-scoped; share them with teammates from the Credentials picker on any of its nodes.For detailed information on connecting an application, see Connect an application →
VLM Run node modules
The list below is a reference of every VLM Run node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.
Expand any VLM Run node module below to see exactly what it takes in, what it returns, and what connection it needs.
Watch Completed PredictionsTrigger
Output fields[3]
| Field | Type |
|---|---|
| User ID | number |
| Email address | |
| Name | text |
| Date created | date |
Get a CompletionAction
List FilesSearch
Analyze an ImageAction
Input fields[3]
| Field | Type |
|---|---|
ImagesRequired | array |
| Image Base64 or URL | text |
DomainRequired | choice |
| Metadata | object |
| Environment | choice |
| Session ID | text |
| Allow Training | boolean |
| Configuration | object |
| Prompt | text |
| Detail | choice |
| Response Model | text |
| JSON Schema | object |
| GraphQL Statement | text |
| Max Retries | number |
| Max Tokens | number |
| Temperature | number |
| Confidence | boolean |
| Grounding | boolean |
| Request ID | text |
| Created At | date |
| Callback URL | url |
| Model | choice |
| Batch Mode | boolean |
Output fields[3]
| Field | Type |
|---|---|
| Usage | object |
| Elements Processed | number |
| Element Type | text |
| Credits Used | number |
| Steps | number |
| Message | text |
| ID | text |
| Created at | date |
| Completed at | date |
| Response | text |
| Status | text |
Make an API Calluniversal
Parse a DocumentAction
Input fields[3]
| Field | Type |
|---|---|
DomainRequired | choice |
| URL | text |
| File ID | text |
| Unique Identifier | text |
| Created At | date |
| Callback URL | url |
| Metadata | object |
| Environment | choice |
| Session ID | text |
| Allow Training | boolean |
| Configuration | object |
| Prompt | text |
| Detail Level | choice |
| Response Model | text |
| JSON Schema | text |
| GraphQL Statement | text |
| Max Retries | number |
| Max Tokens | number |
| Temperature | number |
| Include Confidence Scores | boolean |
| Include Grounding | boolean |
| Model | choice |
| Batch Mode | boolean |
Output fields[3]
| Field | Type |
|---|---|
| Usage | object |
| Elements Processed | number |
| Element Type | text |
| Credits Used | number |
| Steps | number |
| Message | text |
| ID | text |
| Created at | date |
| Completed at | date |
| Response | text |
| Status | text |
Parse a VideoAction
Input fields[3]
| Field | Type |
|---|---|
DomainRequired | choice |
| URL | text |
| File ID | text |
| Unique Identifier | text |
| Created At | date |
| Callback URL | url |
| Metadata | object |
| Environment | choice |
| Session ID | text |
| Allow Training | boolean |
| Configuration | object |
| Prompt | text |
| Detail Level | choice |
| Response Model | text |
| JSON Schema | text |
| GraphQL Statement | text |
| Max Retries | number |
| Max Tokens | number |
| Temperature | number |
| Include Confidence Scores | boolean |
| Include Grounding | boolean |
| Model | choice |
| Batch Mode | boolean |
Output fields[3]
| Field | Type |
|---|---|
| Usage | object |
| Elements Processed | number |
| Element Type | text |
| Credits Used | number |
| Steps | number |
| Message | text |
| ID | text |
| Created at | date |
| Completed at | date |
| Response | text |
| Status | text |
Transcribe an AudioAction
Input fields[3]
| Field | Type |
|---|---|
DomainRequired | choice |
| URL | text |
| File ID | text |
| Unique Identifier | text |
| Created At | date |
| Callback URL | url |
| Metadata | object |
| Environment | choice |
| Session ID | text |
| Allow Training | boolean |
| Configuration | object |
| Prompt | text |
| Detail Level | choice |
| Response Model | text |
| JSON Schema | text |
| GraphQL Statement | text |
| Max Retries | number |
| Max Tokens | number |
| Temperature | number |
| Include Confidence Scores | boolean |
| Include Grounding | boolean |
| Model | choice |
| Batch Mode | boolean |
Output fields[3]
| Field | Type |
|---|---|
| Usage | object |
| Elements Processed | number |
| Element Type | text |
| Credits Used | number |
| Steps | number |
| Message | text |
| ID | text |
| Created at | date |
| Completed at | date |
| Response | text |
| Status | text |
Templates
Look for VLM Run templates in the WEXTL template library.
Browse templates →Explore alternative apps
- Apiframe[2]Single API wrapping Midjourney, Flux, and other image, video, and music models.
- Camb AIAI localization for text-to-speech, transcription, and voice dubbing.
- AWS RekognitionDetect faces, labels, text, and moderation content in images with Amazon Rekognition.
- AWS TranscribeTranscribe audio and video files and manage custom vocabularies with Amazon Transcribe.
- AWS TextractExtract text, forms, tables, and expense data from documents with Amazon Textract.
References
- WEXTL® VLM Run Source Code connector implementation.
- Our users use cases and automations.
- Official API Documentation for VLM Run.
- WEXTL® visual workflow builder data.
Last updated: Jul 24, 2026 18:13