Add an IChatClient implementation to OnnxRuntimeGenAI

src/csharp/Microsoft.ML.OnnxRuntimeGenAI.csproj

@@ -121,4 +121,8 @@
     <PackageReference Include="System.Memory" Version="4.5.5" />
   </ItemGroup>
 
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Extensions.AI.Abstractions" Version="9.3.0-preview.1.25114.11" />
+  </ItemGroup>
+
 </Project>

src/csharp/OnnxRuntimeGenAIChatClient.cs

@@ -0,0 +1,313 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+using System;
+using System.Buffers;
+using System.Collections.Generic;
+using System.Runtime.CompilerServices;
+using System.Threading;
+using System.Threading.Tasks;
+using Microsoft.Extensions.AI;
+
+#nullable enable
+
+namespace Microsoft.ML.OnnxRuntimeGenAI;
+
+/// <summary>Provides an <see cref="IChatClient"/> implementation for interacting with an ONNX Runtime GenAI <see cref="Model"/>.</summary>
+public sealed class OnnxRuntimeGenAIChatClient : IChatClient
+{
+    /// <summary>The options used to configure the instance.</summary>
+    private readonly OnnxRuntimeGenAIChatClientOptions _options;
+    /// <summary>The wrapped <see cref="Model"/>.</summary>
+    private readonly Model _model;
+    /// <summary>The wrapped <see cref="Tokenizer"/>.</summary>
+    private readonly Tokenizer _tokenizer;
+    /// <summary>Whether to dispose of <see cref="_model"/> when this instance is disposed.</summary>
+    private readonly bool _ownsModel;
+    /// <summary>Metadata for the chat client.</summary>
+    private readonly ChatClientMetadata _metadata;
+
+    /// <summary>Cached information about the last generation to speed up a subsequent generation.</summary>
+    /// <remarks>Only one is cached. Interlocked operations are used to take and return an instance from this cache.</remarks>
+    private CachedGenerator? _cachedGenerator;
+
+    /// <summary>Initializes an instance of the <see cref="OnnxRuntimeGenAIChatClient"/> class.</summary>
+    /// <param name="options">Options used to configure the client instance.</param>
+    /// <param name="modelPath">The file path to the model to load.</param>
+    /// <exception cref="ArgumentNullException"><paramref name="options"/> is <see langword="null"/>.</exception>
+    /// <exception cref="ArgumentNullException"><paramref name="modelPath"/> is <see langword="null"/>.</exception>
+    public OnnxRuntimeGenAIChatClient(OnnxRuntimeGenAIChatClientOptions options, string modelPath)
+    {
+        if (options is null)
+        {
+            throw new ArgumentNullException(nameof(options));
+        }
+
+        if (modelPath is null)
+        {
+            throw new ArgumentNullException(nameof(modelPath));
+        }
+
+        _options = options;
+
+        _ownsModel = true;
+        _model = new Model(modelPath);
+        _tokenizer = new Tokenizer(_model);
+
+        _metadata = new("onnx", new Uri($"file://{modelPath}"), modelPath);
+    }
+
+    /// <summary>Initializes an instance of the <see cref="OnnxRuntimeGenAIChatClient"/> class.</summary>
+    /// <param name="options">Options used to configure the client instance.</param>
+    /// <param name="model">The model to employ.</param>
+    /// <param name="ownsModel">
+    /// <see langword="true"/> if this <see cref="IChatClient"/> owns the <paramref name="model"/> and should
+    /// dispose of it when this <see cref="IChatClient"/> is disposed; otherwise, <see langword="false"/>.
+    /// The default is <see langword="true"/>.
+    /// </param>
+    /// <exception cref="ArgumentNullException"><paramref name="options"/> is <see langword="null"/>.</exception>
+    /// <exception cref="ArgumentNullException"><paramref name="model"/> is <see langword="null"/>.</exception>
+    public OnnxRuntimeGenAIChatClient(OnnxRuntimeGenAIChatClientOptions options, Model model, bool ownsModel = true)
+    {
+        if (options is null)
+        {
+            throw new ArgumentNullException(nameof(options));
+        }
+
+        if (model is null)
+        {
+            throw new ArgumentNullException(nameof(model));
+        }
+
+        _options = options;
+
+        _ownsModel = ownsModel;
+        _model = model;
+        _tokenizer = new Tokenizer(_model);
+
+        _metadata = new("onnx");
+    }
+
+    /// <inheritdoc/>
+    public void Dispose()
+    {
+        if (Interlocked.Exchange(ref _cachedGenerator, null) is CachedGenerator cachedGenerator)
+        {
+            cachedGenerator.Dispose();
+        }
+
+        _tokenizer.Dispose();
+
+        if (_ownsModel)
+        {
+            _model.Dispose();
+        }
+    }
+
+    /// <inheritdoc/>
+    public Task<ChatResponse> GetResponseAsync(
+        IList<ChatMessage> chatMessages, ChatOptions? options = null, CancellationToken cancellationToken = default) =>
+        GetStreamingResponseAsync(chatMessages, options, cancellationToken).ToChatResponseAsync(cancellationToken: cancellationToken);
+
+    /// <inheritdoc/>
+    public async IAsyncEnumerable<ChatResponseUpdate> GetStreamingResponseAsync(
+        IList<ChatMessage> chatMessages, ChatOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
+    {
+        if (chatMessages is null)
+        {
+            throw new ArgumentNullException(nameof(chatMessages));
+        }
+
+        // Check to see whether there's a cached generator. If there is, and if its id matches what we got from the client,
+        // we can use it; otherwise, we need to create a new one.
+        CachedGenerator? generator = Interlocked.Exchange(ref _cachedGenerator, null);
+        if (generator is null ||
+            generator.ChatThreadId is null ||
+            generator.ChatThreadId != options?.ChatThreadId)
+        {
+            generator?.Dispose();
+
+            using GeneratorParams p = new(_model); // we can dispose of this after we create the generator
+            UpdateGeneratorParamsFromOptions(p, options);
+            generator = new(new Generator(_model, p));
+        }
+
+        // If caching is enabled, generate a new ID to represent the state of the generator when we finish this response.
+        generator.ChatThreadId = _options.EnableCaching ? Guid.NewGuid().ToString("N") : null;
+
+        // Format and tokenize the message.
+        using Sequences tokens = _tokenizer.Encode(_options.PromptFormatter(chatMessages));
+        try
+        {
+            generator.Generator.AppendTokenSequences(tokens);
+            int inputTokens = tokens[0].Length, outputTokens = 0;
+
+            // Loop while we still want to produce more tokens.
+            using var tokenizerStream = _tokenizer.CreateStream();
+            while (!generator.Generator.IsDone())
+            {
+                // If we've reached a max output token limit, stop.
+                if (options?.MaxOutputTokens is int maxOutputTokens &&
+                    outputTokens >= maxOutputTokens)
+                {
+                    break;
+                }
+
+                // Avoid blocking calling thread with expensive compute
+                await YieldAwaiter.Instance;
+
+                // Generate the next token.
+                generator.Generator.GenerateNextToken();
+                string next = tokenizerStream.Decode(GetLastToken(generator.Generator.GetSequence(0)));
+
+                // workaround until C# 13 is adopted and ref locals are usable in async methods
+                static int GetLastToken(ReadOnlySpan<int> span) => span[span.Length - 1];
+
+                // If this token is a stop token, bail.
+                if (IsStop(next, options))
+                {
+                    break;
+                }
+
+                // Yield the next token in the stream.
+                outputTokens++;
+                yield return new()
+                {
+                    CreatedAt = DateTimeOffset.UtcNow,
+                    Role = ChatRole.Assistant,
+                    Text = next,
+                };
+            }
+
+            // Yield a final update containing metadata.
+            yield return new()
+            {
+                ChatThreadId = generator.ChatThreadId,
+                Contents = [new UsageContent(new()
+                {
+                    InputTokenCount = inputTokens,
+                    OutputTokenCount = outputTokens,
+                    TotalTokenCount = inputTokens + outputTokens,
+                })],
+                CreatedAt = DateTimeOffset.UtcNow,
+                FinishReason = options is not null && options.MaxOutputTokens <= outputTokens ? ChatFinishReason.Length : ChatFinishReason.Stop,
+                ModelId = _metadata.ModelId,
+                ResponseId = Guid.NewGuid().ToString(),
+                Role = ChatRole.Assistant,
+            };
+        }
+        finally
+        {
+            // Cache the generator for subsequent use if it's cachable and there isn't already a generator cached.
+            if (generator.ChatThreadId is null ||
+                Interlocked.CompareExchange(ref _cachedGenerator, generator, null) != null)
+            {
+                generator.Dispose();
+            }
+        }
+    }
+
+    /// <inheritdoc/>
+    object? IChatClient.GetService(Type serviceType, object? serviceKey)
+    {
+        if (serviceType is null)
+        {
+            throw new ArgumentNullException(nameof(serviceType));
+        }
+
+        return 
+            serviceKey is not null ? null :
+            serviceType == typeof(ChatClientMetadata) ? _metadata :
+            serviceType == typeof(Model) ? _model :
+            serviceType == typeof(Tokenizer) ? _tokenizer :
+            serviceType?.IsInstanceOfType(this) is true ? this :
+            null;
+    }
+
+    /// <summary>Gets whether the specified token is a stop sequence.</summary>
+    private bool IsStop(string token, ChatOptions? options) =>
+        options?.StopSequences?.Contains(token) is true ||
+        _options.StopSequences.Contains(token);
+
+    /// <summary>Updates the <paramref name="generatorParams"/> based on the supplied <paramref name="options"/>.</summary>
+    private static void UpdateGeneratorParamsFromOptions(GeneratorParams generatorParams, ChatOptions? options)
+    {
+        if (options is null)
+        {
+            return;
+        }
+
+        if (options.Temperature.HasValue)
+        {
+            generatorParams.SetSearchOption("temperature", options.Temperature.Value);
+        }
+
+        if (options.PresencePenalty.HasValue)
+        {
+            generatorParams.SetSearchOption("repetition_penalty", options.PresencePenalty.Value);
+        }
+
+        if (options.TopP.HasValue || options.TopK.HasValue)
+        {
+            if (options.TopP.HasValue)
+            {
+                generatorParams.SetSearchOption("top_p", options.TopP.Value);
+            }
+
+            if (options.TopK.HasValue)
+            {
+                generatorParams.SetSearchOption("top_k", options.TopK.Value);
+            }
+
+            generatorParams.SetSearchOption("do_sample", true);
+        }
+
+        if (options.Seed.HasValue)
+        {
+            generatorParams.SetSearchOption("random_seed", options.Seed.Value);
+        }
+
+        if (options.AdditionalProperties is { } props)
+        {
+            foreach (var entry in props)
+            {
+                if (entry.Value is bool b)
+                {
+                    generatorParams.SetSearchOption(entry.Key, b);
+                }
+                else if (entry.Value is not null)
+                {
+                    try
+                    {
+                        double d = Convert.ToDouble(entry.Value);
+                        generatorParams.SetSearchOption(entry.Key, d);
+                    }
+                    catch
+                    {
+                        // Ignore values we can't convert
+                    }
+                }
+            }
+        }
+    }
+
+    private sealed class CachedGenerator(Generator generator) : IDisposable
+    {
+        public Generator Generator { get; } = generator;
+
+        public string? ChatThreadId { get; set; }
+
+        public void Dispose() => Generator?.Dispose();
+    }
+
+    /// <summary>Polyfill for Task.CompletedTask.ConfigureAwait(ConfigureAwaitOptions.ForceYielding);</summary>
+    private sealed class YieldAwaiter : INotifyCompletion
+    {
+        public static YieldAwaiter Instance { get; } = new();
+        public YieldAwaiter GetAwaiter() => this;
+        public bool IsCompleted => false;
+        public void OnCompleted(Action continuation) => Task.Run(continuation);
+        public void UnsafeOnCompleted(Action continuation) => Task.Run(continuation);
+        public void GetResult() { }
+    }
+}