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Shiny.AiConversation.MessageStores.SqliteDocDb 1.0.0-beta-0050

Shiny.AiConversation

A centralized AI service library for .NET MAUI apps that orchestrates chat, speech recognition, wake word detection, text-to-speech, and persistent message history into a single IAiConversationService interface.

👁 NuGet

Features

• Chat Integration — Send text or voice messages to any AI backend via Microsoft.Extensions.AI
• Wake Word Detection — Hands-free activation with continuous keyword listening
• Speech-to-Text / Text-to-Speech — Full voice loop powered by Shiny.Speech
• Acknowledgement Modes — None, AudioBlip (sound effects), LessWordy (concise TTS), or Full (complete TTS)
• Context Providers — Pluggable IContextProvider visitor pattern for populating an AiContext per request. Each provider receives a mutable context containing system prompts, AI tools, quiet words, speech-to-text options, and text-to-speech options. A built-in ContextProvider handles time-based prompts, acknowledgement-aware voice prompts, and DI-registered AITool instances.
• Persistent Chat History — Pluggable IMessageStore for storing and querying past conversations
• AI History Lookup Tool — Automatically available when an IMessageStore is registered, lets the AI search past conversations on its own
• Voice Selection Tools — Optional AddVoiceSelectionTools() enables the AI to list voices, play samples, and switch its own TTS voice mid-conversation
• State Management — Observable AiState (Idle / Listening / Thinking / Responding) with events
• Sound Effects — Configurable sound stream factories for each state transition
• Conversation Continuation — AI responses ending with a question automatically keep the microphone open for a reply
• Voice Interruption — Configurable quiet words (e.g., "stop", "cancel") via AiContext.QuietWords immediately silence TTS and break out of the conversation. Any other speech during TTS interrupts and continues the conversation with the new utterance.
• Speech Options — Configurable SpeechToTextOptions and TextToSpeechOptions via AiContext (culture, silence timeout, voice, speech rate, etc.)

TODO

• Sessions - ability to start different AI sessions based on time passed
• Acknowledgement sounds is present, but we need acknowledgement "Hi User" or "What can I help you with?"
  • Manually activation could just be a sound? Maybe only the wake word should have a greeting, and manual text input doesn't need it?
• Speech to text - Wait for anything? then 2 seconds of silence

Installation

dotnet add package Shiny.AiConversation

Quick Start

1. Register the service

using Shiny.AiConversation;

var builder = MauiApp.CreateBuilder();
builder
 .UseMauiApp<App>()
 .ConfigureFonts(fonts => { ... });

// Register an IChatClient in DI (from any Microsoft.Extensions.AI-compatible provider)
builder.Services.AddChatClient(new OpenAIClient("your-api-key").GetChatClient("gpt-4o").AsIChatClient());

builder.Services.AddShinyAiConversation(opts =>
{
 // Optional — enable persistent history (ChatLookupAITool is added automatically)
 opts.SetMessageStore<MyMessageStore>();
});

return builder.Build();

2. Chat Client Setup

By default, the library resolves IChatClient from DI. Simply register your chat client with the container:

builder.Services.AddChatClient(new OpenAIClient("your-api-key").GetChatClient("gpt-4o").AsIChatClient());

Shiny.AiConversation.OpenAi

A ready-made static OpenAI provider. Works with any OpenAI-compatible endpoint (OpenAI, Azure OpenAI, Ollama, etc.).

dotnet add package Shiny.AiConversation.OpenAi

builder.Services.AddShinyAiConversation(opts =>
{
 opts.AddStaticOpenAIChatClient(
 apiToken: "your-api-key",
 endpointUri: "https://api.openai.com/v1",
 modelName: "gpt-4o"
 );
});

Shiny.AiConversation.Maui.GithubCopilot

A MAUI-specific provider that authenticates via the GitHub device code flow and uses the Copilot API. Tokens are stored in SecureStorage. Authentication is fully self-contained — the library shows a popup with the device code, copies it to the clipboard, and opens the browser for the user to authorize.

dotnet add package Shiny.AiConversation.Maui.GithubCopilot

builder.Services.AddShinyAiConversation(opts =>
{
 opts.AddGithubCopilotChatClient();
});

No additional setup is needed — the provider handles the entire OAuth flow, token exchange, caching, and re-authentication on expiry.

Custom Provider

For other backends, implement IChatClientProvider:

using Microsoft.Extensions.AI;
using Shiny.AiConversation;

public class MyChatClientProvider : IChatClientProvider
{
 public async Task<IChatClient> GetChatClient(CancellationToken cancelToken = default)
 {
 // Handle auth, token refresh, etc.
 return BuildChatClient();
 }
}

// Register it:
builder.Services.AddShinyAiConversation(opts =>
{
 opts.SetChatClientProvider<MyChatClientProvider>();
});

3. Implement IMessageStore (optional)

Provide persistent storage for chat history. Without this, GetChatHistory and ClearChatHistory will throw.

using Shiny.AiConversation;

public class MyMessageStore : IMessageStore
{
 public Task Store(string? userTriggeringMessage, ChatResponse response, CancellationToken cancellationToken)
 {
 // Persist the complete AI response
 }

 public Task Clear(DateTimeOffset? beforeDate = null)
 {
 // Clear all or messages before the given date
 }

 public Task<IReadOnlyList<AiChatMessage>> Query(
 string? messageContains = null,
 DateTimeOffset? fromDate = null,
 DateTimeOffset? toDate = null,
 int? limit = null,
 CancellationToken cancellationToken = default)
 {
 // Query with optional filters, return ordered by timestamp
 }
}

4. Use the service

public class ChatViewModel(IAiConversationService aiService) : ObservableObject
{
 public async Task SendMessage(string text)
 {
 await aiService.TalkTo(text, CancellationToken.None);
 }

 public async Task UseMicrophone()
 {
 var access = await aiService.RequestAccess();
 if (access != AccessState.Available)
 return;

 await aiService.ListenAndTalk(CancellationToken.None);
 }

 public async Task StartWakeWord()
 {
 await aiService.StartWakeWord("Hey Assistant");
 }
}

API Overview

IAiConversationService

AiContext

The AiContext is a mutable context object populated by IContextProvider implementations before each AI request:

Acknowledgement Modes

ChatLookupAITool

When an IMessageStore is registered via SetMessageStore<T>(), the built-in ContextProvider automatically adds a ChatLookupAITool (lookup_chat_history) to every request. This allows the AI to autonomously search past conversations when the user asks about previous discussions — no extra code required.

VoiceSelectionTools (optional)

Call AddVoiceSelectionTools() during registration to give the AI three voice-related tools:

builder.Services.AddShinyAiConversation(opts =>
{
 opts.AddStaticOpenAIChatClient(...);
 opts.AddVoiceSelectionTools();
});

Once registered, the user can say things like:

• "Can you play a few different voices for me?"
• "Switch to a different voice"
• "Use a British accent"

The selected voice is written directly to IAiConversationService.TextToSpeechOptions, which the service uses for all subsequent TTS responses. Requires ITextToSpeechService — available automatically when AutoAddSpeechServices is true (the default).

Architecture

┌─────────────────────────────────────────────────┐
│ IAiConversationService │
│ (orchestrates chat, speech, sounds, history) │
├──────────┬──────────────┬───────────────────────┤
│ │ │ │
│ IChatClientProvider │ IMessageStore │
│ (default: resolves │ (persistence) │
│ IChatClient from DI) │ │
│ │ │ │ │
│ IChatClient ISpeechToText │ ChatLookupAITool
│ (M.E.AI) ITextToSpeech │ (optional AITool)
│ (Shiny.Speech) │ │
│ │ │ │
│ IAudioPlayer │ │
│ (Shiny.Speech) │ │
└─────────────────────────────────────────────────┘

Dependencies

License

MIT