0024-connectors-api-equalization.md

Proposal

IChatCompletion

Before:

public interface IChatCompletion : IAIService
{
    ChatHistory CreateNewChat(string? instructions = null);

    Task<IReadOnlyList<IChatResult>> GetChatCompletionsAsync(ChatHistory chat, ...);

    Task<IReadOnlyList<IChatResult>> GetChatCompletionsAsync(string prompt, ...);

    IAsyncEnumerable<T> GetStreamingContentAsync<T>(ChatHistory chatHistory, ...);
}

public static class ChatCompletionExtensions
{
    public static async Task<string> GenerateMessageAsync(ChatHistory chat, ...);
}

After:

public interface IChatCompletion : IAIService
{
    Task<IReadOnlyList<ChatContent>> GetChatContentsAsync(ChatHistory chat, ..> tags)

    IAsyncEnumerable<StreamingChatContent> GetStreamingChatContentsAsync(ChatHistory chatHistory, ...);
}

public static class ChatCompletionExtensions
{
    //                       v Single          vv Standardized Prompt (Parse <message> tags)
    public static async Task<ChatContent> GetChatContentAsync(string prompt, ...);

    //                       v Single
    public static async Task<ChatContent> GetChatContentAsync(ChatHistory chatHistory, ...);

    public static IAsyncEnumerable<StreamingChatContent> GetStreamingChatContentsAsync(string prompt, ...);
}

ITextCompletion

Before:

public interface ITextCompletion : IAIService
{
    Task<IReadOnlyList<ITextResult>> GetCompletionsAsync(string prompt, ...);

    IAsyncEnumerable<T> GetStreamingContentAsync<T>(string prompt, ...);
}

public static class TextCompletionExtensions
{
    public static async Task<string> CompleteAsync(string text, ...);

    public static IAsyncEnumerable<StreamingContent> GetStreamingContentAsync(string input, ...);
}

After:

public interface ITextCompletion : IAIService
{
    Task<IReadOnlyList<TextContent>> GetTextContentsAsync(string prompt, ...);

    IAsyncEnumerable<StreamingTextContent> GetStreamingTextContentsAsync(string prompt, ...);
}

public static class TextCompletionExtensions
{
    public static async Task<TextContent> GetTextContentAsync(string prompt, ...);
}

Content Abstractions

Model Comparisons

Current Streaming Abstractions

Streaming (Current)	Specialized* Streaming (Current)
StreamingChatContent : StreamingContent	OpenAIStreamingChatContent
StreamingTextContent : StreamingContent	OpenAIStreamingTextContent, HuggingFaceStreamingTextContent

Non-Streaming Abstractions (Before and After)

Non-Streaming (Before)	Non-Streaming (After)	Specialized* Non-Streaming (After)
IChatResult : IResultBase	ChatContent : ModelContent	OpenAIChatContent
ITextResult : IResultBase	TextContent : ModelContent	OpenAITextContent, HuggingFaceTextContent
ChatMessage	ChatContent : ModelContent	OpenAIChatContent

*Specialized: Connector implementations that are specific to a single AI Service.

New Non-Streaming Abstractions:

ModelContent was chosen to represent a non-streaming content top-most abstraction which can be specialized and contains all the information that the AI Service returned. (Metadata, Raw Content, etc.)

/// <summary>
/// Base class for all AI non-streaming results
/// </summary>
public abstract class ModelContent
{
    /// <summary>
    /// Raw content object reference. (Breaking glass).
    /// </summary>
    public object? InnerContent { get; }

    /// <summary>
    /// The metadata associated with the content.
    /// ⚠️ (Token Usage + More Backend API Metadata) info will be in this dictionary. Old IResult.ModelResult) ⚠️
    /// </summary>
    public Dictionary<string, object?>? Metadata { get; }

    /// <summary>
    /// Initializes a new instance of the <see cref="CompleteContent"/> class.
    /// </summary>
    /// <param name="rawContent">Raw content object reference</param>
    /// <param name="metadata">Metadata associated with the content</param>
    protected CompleteContent(object rawContent, Dictionary<string, object>? metadata = null)
    {
        this.InnerContent = rawContent;
        this.Metadata = metadata;
    }
}

/// <summary>
/// Chat content abstraction
/// </summary>
public class ChatContent : ModelContent
{
    /// <summary>
    /// Role of the author of the message
    /// </summary>
    public AuthorRole Role { get; set; }

    /// <summary>
    /// Content of the message
    /// </summary>
    public string Content { get; protected set; }

    /// <summary>
    /// Creates a new instance of the <see cref="ChatContent"/> class
    /// </summary>
    /// <param name="chatMessage"></param>
    /// <param name="metadata">Dictionary for any additional metadata</param>
    public ChatContent(ChatMessage chatMessage, Dictionary<string, object>? metadata = null) : base(chatMessage, metadata)
    {
        this.Role = chatMessage.Role;
        this.Content = chatMessage.Content;
    }
}

/// <summary>
/// Represents a text content result.
/// </summary>
public class TextContent : ModelContent
{
    /// <summary>
    /// The text content.
    /// </summary>
    public string Text { get; set; }

    /// <summary>
    /// Initializes a new instance of the <see cref="TextContent"/> class.
    /// </summary>
    /// <param name="text">Text content</param>
    /// <param name="metadata">Additional metadata</param>
    public TextContent(string text, Dictionary<string, object>? metadata = null) : base(text, metadata)
    {
        this.Text = text;
    }
}

End-User Experience

• No changes to the end-user experience when using Function.InvokeAsync or Kernel.InvokeAsync
• Changes only when using Connector APIs directly

Example 16 - Custom LLMS

Before

await foreach (var message in textCompletion.GetStreamingContentAsync(prompt, executionSettings))
{
    Console.Write(message);
}

After

await foreach (var message in textCompletion.GetStreamingTextContentAsync(prompt, executionSettings))
{
    Console.Write(message);
}

Example 17 - ChatGPT

Before

string reply = await chatGPT.GenerateMessageAsync(chatHistory);
chatHistory.AddAssistantMessage(reply);

After

var reply = await chatGPT.GetChatContentAsync(chatHistory);
chatHistory.AddMessage(reply);

// OR
chatHistory.AddAssistantMessage(reply.Content);

Clean-up

All old interfaces and classes will be removed in favor of the new ones.