orchardcore-ai-chat-interactions

name	orchardcore-ai-chat-interactions
description	Skill for configuring AI Chat Interactions in Orchard Core using the CrestApps module. Covers ad-hoc chat sessions, prompt routing with intent detection, document upload with RAG support, image and chart generation, and custom processing strategies.
license	Apache-2.0
metadata	{"author":"CrestApps Team","version":"1.0"}

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:

Intent	Description	Example Prompts
GenerateImage	Generate an image from a text description	"Generate an image of a sunset", "Create a picture of a cat"
GenerateImageWithHistory	Generate an image using conversation context	"Based on the above, draw a diagram"
GenerateChart	Generate a chart or graph specification	"Create a bar chart of sales data", "Draw a pie chart"

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

Format	Extension	Required Feature
PDF	.pdf	CrestApps.OrchardCore.AI.Chat.Interactions.Pdf
Word	.docx	CrestApps.OrchardCore.AI.Chat.Interactions.OpenXml
Excel	.xlsx	CrestApps.OrchardCore.AI.Chat.Interactions.OpenXml
PowerPoint	.pptx	CrestApps.OrchardCore.AI.Chat.Interactions.OpenXml
Text	.txt	Built-in
CSV	.csv	Built-in
Markdown	.md	Built-in
JSON	.json	Built-in
XML	.xml	Built-in
HTML	.html, .htm	Built-in
YAML	.yml, .yaml	Built-in

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:

Intent	Description	Example Prompts
DocumentQnA	Question answering using RAG	"What does this document say about X?"
SummarizeDocument	Document summarization	"Summarize this document"
AnalyzeTabularData	CSV/Excel data analysis	"Calculate the total sales"
ExtractStructuredData	Structured data extraction	"Extract all email addresses"
CompareDocuments	Multi-document comparison	"Compare these two documents"
TransformFormat	Content reformatting	"Convert to bullet points"
GeneralChatWithReference	General chat using document context	Default fallback

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

Endpoint	Method	Description
/ai/chat-interactions/upload-document	POST	Upload one or more documents
/ai/chat-interactions/remove-document	POST	Remove a document