Model Configurations

​

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 (LLM, Embedding, Reranking)
• 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_CONFIG
• INGESTION_LARGE_MODEL_CONFIG
• INGESTION_MEDIUM_MODEL_CONFIG (optional; used when a content type sets model_tier: medium)
• INGESTION_SMALL_MODEL_CONFIG

Content types can override the primary tier per type. See Extraction Policy.

​

Testing Connections

Before activating a model, test its connection:

1. Click Test Connection on any model
2. The system sends a real API request to the provider
3. Results show:
   • Response time
   • Response preview
   • Embedding dimensions (for embedding models)
   • Success or error status

​

Managing Models

​

Editing

Click any model to edit its configuration. Changes to API configuration or active status take effect immediately.

​

Activating/Deactivating

Toggle the Active status to enable or disable a model. Deactivated models are not available for any operation. Toggle the User-Facing status to control whether end users see the model in the model selector dropdown. Non-user-facing models can still be used by assistants as their default model.

​

Deleting

Remove a model configuration permanently. Ensure no assistants are configured to use the model before deleting.