Orchard Core AI Chat Interactions - Prompt Templates

Configure AI Chat Interactions

You are an Orchard Core expert. Generate code, configuration, and recipes for adding ad-hoc AI chat interactions with document upload, RAG, and intent-based prompt routing to an Orchard Core application using CrestApps modules.

Guidelines

• The AI Chat Interactions module (CrestApps.OrchardCore.AI.Chat.Interactions) provides ad-hoc chat without predefined AI profiles.
• Users can configure temperature, TopP, max tokens, frequency/presence penalties, and past messages count per session.
• All chat messages are persisted and sessions can be resumed later.
• Prompt routing uses intent detection to classify user prompts and route them to specialized processing strategies.
• Intent detection can use a dedicated lightweight AI model or fall back to keyword-based detection.
• The Documents extension adds document upload with RAG (Retrieval Augmented Generation) support.
• Document indexing requires Elasticsearch or Azure AI Search as the embedding/search provider.
• Install CrestApps packages in the web/startup project.
• Always secure API keys using user secrets or environment variables.

Enabling AI Chat Interactions

{
  "steps": [
    {
      "name": "Feature",
      "enable": [
        "CrestApps.OrchardCore.AI",
        "CrestApps.OrchardCore.AI.Chat.Interactions",
        "CrestApps.OrchardCore.OpenAI"
      ],
      "disable": []
    }
  ]
}

Getting Started

1. Enable the AI Chat Interactions feature in the Orchard Core admin under Configuration → Features.
2. Navigate to Artificial Intelligence → Chat Interactions.
3. Click + New Chat and select an AI provider connection.
4. Configure chat settings (model, temperature, tools) and start chatting.

Built-in Intents

The AI Chat Interactions module ships with default intents for image and chart generation:

Configuring Image Generation

To enable image generation, set the DefaultImagesDeploymentName in your provider connection.

Via Admin UI: Navigate to Artificial Intelligence → Provider Connections, edit your connection, and set the Images deployment name (e.g., dall-e-3).

Via appsettings.json:

{
  "OrchardCore": {
    "CrestApps_AI": {
      "Providers": {
        "OpenAI": {
          "Connections": {
            "default": {
              "DefaultDeploymentName": "gpt-4o",
              "DefaultImagesDeploymentName": "dall-e-3"
            }
          }
        }
      }
    }
  }
}

Configuring Intent Detection Model

Use a lightweight model for intent classification to optimize costs:

{
  "OrchardCore": {
    "CrestApps_AI": {
      "Providers": {
        "OpenAI": {
          "Connections": {
            "default": {
              "DefaultDeploymentName": "gpt-4o",
              "DefaultIntentDeploymentName": "gpt-4o-mini",
              "DefaultImagesDeploymentName": "dall-e-3"
            }
          }
        }
      }
    }
  }
}

If DefaultIntentDeploymentName is not configured, the system falls back to the DefaultDeploymentName (chat model) or keyword-based intent detection.

Enabling Document Upload and RAG

The Documents extension (CrestApps.OrchardCore.AI.Chat.Interactions.Documents) adds document upload and document-aware prompt processing. It requires a search/indexing provider.

{
  "steps": [
    {
      "name": "Feature",
      "enable": [
        "CrestApps.OrchardCore.AI",
        "CrestApps.OrchardCore.AI.Chat.Interactions",
        "CrestApps.OrchardCore.AI.Chat.Interactions.Documents.AzureAI",
        "OrchardCore.Search.AzureAI",
        "CrestApps.OrchardCore.OpenAI"
      ],
      "disable": []
    }
  ]
}

Or for Elasticsearch:

{
  "steps": [
    {
      "name": "Feature",
      "enable": [
        "CrestApps.OrchardCore.AI",
        "CrestApps.OrchardCore.AI.Chat.Interactions",
        "CrestApps.OrchardCore.AI.Chat.Interactions.Documents.Elasticsearch",
        "OrchardCore.Search.Elasticsearch",
        "CrestApps.OrchardCore.OpenAI"
      ],
      "disable": []
    }
  ]
}

Setting Up Document Indexing

1. Enable a search provider feature (Elasticsearch or Azure AI Search).
2. Navigate to Search → Indexing and create a new index (e.g., "ChatDocuments").
3. Navigate to Settings → Chat Interaction and select the new index as the default document index.
4. Enable the AI Chat Interactions - Documents feature.

Configuring Embedding Model for Documents

Documents require an embedding model for RAG. Configure DefaultEmbeddingDeploymentName in your provider connection:

{
  "OrchardCore": {
    "CrestApps_AI": {
      "Providers": {
        "OpenAI": {
          "Connections": {
            "default": {
              "DefaultDeploymentName": "gpt-4o",
              "DefaultEmbeddingDeploymentName": "text-embedding-3-small",
              "DefaultIntentDeploymentName": "gpt-4o-mini",
              "DefaultImagesDeploymentName": "dall-e-3"
            }
          }
        }
      }
    }
  }
}

Supported Document Formats

Legacy Office formats (.doc, .xls, .ppt) are not supported. Convert them to newer formats.

Document Intent Types

When documents are uploaded, the intent detector routes prompts to specialized strategies:

Adding a Custom Processing Strategy

Register a custom intent and strategy to extend prompt routing:

public sealed class Startup : StartupBase
{
    public override void ConfigureServices(IServiceCollection services)
    {
        services.AddPromptProcessingIntent(
            "TranslateDocument",
            "The user wants to translate the document content to another language.");

        services.AddPromptProcessingStrategy<TranslateDocumentStrategy>();
    }
}

Enabling PDF and Office Document Support

{
  "steps": [
    {
      "name": "Feature",
      "enable": [
        "CrestApps.OrchardCore.AI.Chat.Interactions.Pdf",
        "CrestApps.OrchardCore.AI.Chat.Interactions.OpenXml"
      ],
      "disable": []
    }
  ]
}

Document Upload API Endpoints