Overview
Model configurations define which AI language models are available in your Experio deployment. You can configure multiple models from different providers and control which ones are available to end users. Navigate to Admin > Settings > Model Configurations.Viewing Models
The model configurations page lists all configured models with:- Name (internal identifier)
- Display Name (shown to users)
- Type (see Model Types)
- Provider
- Active status
- User-Facing status (whether end users can select this model)
Creating a Model Configuration
Click Create New and fill in:Model Types
Assign ingestion models in System Settings:
CLASSIFICATION_MODEL_CONFIGINGESTION_LARGE_MODEL_CONFIGINGESTION_MEDIUM_MODEL_CONFIG(optional; used when a content type setsmodel_tier: medium)INGESTION_SMALL_MODEL_CONFIGDECISION_MODEL_CONFIG(optional; enables graph evaluation triage)
Decision models
A Decision model uses the Foundry Decision provider (Microsoft-Decision-1 on Microsoft Foundry). It doesn’t generate text, so it can’t be used for chat or ingestion, and the Foundry Decision provider can’t be used for any other type. Its API configuration is:deployment is your deployment name, not the model name. endpoint can also be the full
.../providers/microsoft/v1/systemone URL from the Foundry portal. timeout_seconds is optional.
Test Connection asks the model one yes/no question and shows the probability it returned.
Testing Connections
Before activating a model, test its connection:- Click Test Connection on any model
- The system sends a real API request to the provider
- Results show:
- Response time
- Response preview
- Embedding dimensions (for embedding models)
- Success or error status