Implementation Steps for BYOM in AI+ Studio
Updated
You can add your own custom LLM by configuring BYOM as a provider.
Step 1: Add a Provider
In AI+ Studio, navigate to the Providers page.
Click Add Provider in the top-right corner.
From the dropdown, select Bring Your Own LLM.
Click Next. You will be redirected to the configuration page.
Step 2: Configure BYOM Details
In the Bring Your Own LLM form, enter the following details:
Field | Description |
Name | A unique identifier for your LLM. |
Select External API | Choose from previously configured external APIs. These must be added first in External API Module. Click the '+ Select Extenal API' button to add additional APIs in the same integration. |
Model Type | Select the type of task the LLM supports. |
Model Capabilities | Define how the model handles inputs/outputs.
Click the '+ Model Capabilities' button to define multiple model capabilities for the integration. |
Fallback Model | Select a fallback API in case the primary model fails. |
Note: Ensure your external APIs are set up in advance. See Adding External API in Sprinklr.
Step 3: Save and Deploy
Once configured, click Save.
The LLM will be available under Deploy your Use-Cases.
You can assign this model to specific use-cases, agents, or copilots.
Viewing and Managing Models
Navigate to the Providers page.
Hover over a BYOM card and click Show Models button to see all models linked with the APIs you integrated.
You will be redirected to the BYOM API record manager.
