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Reka AI

Multimodal AI models for video, image, and language understanding tasks.

2 actionsPollingAuth: API key

AI-assisted documentation2 min read

This documentation is compiled from our integration source code, internal specs for Reka AI, its official API documentation and anonymized requests logs we collect from our support team[2].

Open Reka AI on WEXTL →

Before you set up the credential, make sure you have an active Reka AI account and an API access token from your account settings ready.[3]

  1. Log in to your WEXTL account, add the Reka AI node module to your workflow, and click Create new credential.
  2. Optional: In the Credential name field, enter a name for the credential.
  3. Enter the authentication credentials you copied from your Reka AI account, or follow the on-screen instructions to create the credential.
  4. If prompted, authenticate your account and confirm access.
  5. 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 →

Create a CompletionAction
Input fields[3]
FieldType
MessagesRequired
array
Output fields[3]
FieldType
IDtext
Modeltext
Responsesarray
Usageobject
Input Tokensnumber
Output Tokensnumber
Make an API Calluniversal
Input fields[3]
FieldType
URLRequired
text
MethodRequired
choice
Headersarray
Headerobject
Query Stringarray
Parameterobject
Bodytext
Output fields[3]
FieldType
Bodytext
Headersobject
Status codenumber

Look for Reka AI templates in the WEXTL template library.

Browse templates →
  1. WEXTL® Reka AI Source Code connector implementation.
  2. Our users use cases and automations.
  3. Official API Documentation for Reka AI.
  4. WEXTL® visual workflow builder data.

Last updated: Jul 24, 2026 18:12