Refactor response types and enhance token usage handling

SqlDatabaseVectorSearch/Models/ChatResponse.cs

@@ -0,0 +1,3 @@
+namespace SqlDatabaseVectorSearch.Models;
+
+public record class ChatResponse(string? Text, TokenUsage? TokenUsage = null);

SqlDatabaseVectorSearch/Models/ImportDocumentResponse.cs

@@ -0,0 +1,3 @@
+namespace SqlDatabaseVectorSearch.Models;
+
+public record class ImportDocumentResponse(Guid DocumentId, int TotalTokenCount);

SqlDatabaseVectorSearch/Models/QuestionResponse.cs

@@ -0,0 +1,4 @@
+namespace SqlDatabaseVectorSearch.Models;
+
+// Question and Asnwer can be null when using response streaming.
+public record class QuestionResponse(string? Question, string? Answer, StreamState? StreamState = null, TokenUsageResponse? TokenUsage = null);

SqlDatabaseVectorSearch/Models/Response.cs

@@ -1,4 +0,0 @@
-namespace SqlDatabaseVectorSearch.Models;
-
-// Question and Asnwer can be null when using response streaming.
-public record class Response(string? Question, string? Answer, StreamState? StreamState = null);

SqlDatabaseVectorSearch/Models/TokenUsage.cs

@@ -0,0 +1,6 @@
+namespace SqlDatabaseVectorSearch.Models;
+
+public record class TokenUsage(int InputTokenCount, int OutputTokenCount)
+{
+    public int TotalTokenCount => InputTokenCount + OutputTokenCount;
+}

SqlDatabaseVectorSearch/Models/TokenUsageResponse.cs

@@ -0,0 +1,3 @@
+namespace SqlDatabaseVectorSearch.Models;
+
+public record class TokenUsageResponse(TokenUsage? Reformulation, int? EmbeddingTokenCount, TokenUsage? Question);

SqlDatabaseVectorSearch/Models/UploadDocumentResponse.cs

@@ -1,3 +0,0 @@
-namespace SqlDatabaseVectorSearch.Models;
-
-public record class UploadDocumentResponse(Guid DocumentId);

SqlDatabaseVectorSearch/Program.cs

@@ -19,6 +19,11 @@ builder.Configuration.AddJsonFile("appsettings.local.json", optional: true, relo
 var aiSettings = builder.Services.ConfigureAndGet<AzureOpenAISettings>(builder.Configuration, "AzureOpenAI")!;
 var appSettings = builder.Services.ConfigureAndGet<AppSettings>(builder.Configuration, nameof(AppSettings))!;
 
+builder.Services.ConfigureHttpJsonOptions(options =>
+{
+    options.SerializerOptions.Converters.Add(new JsonStringEnumConverter());
+});
+
 builder.Services.AddSingleton(TimeProvider.System);
 
 builder.Services.AddSqlServer<ApplicationDbContext>(builder.Configuration.GetConnectionString("SqlConnection"), options =>
@@ -56,11 +61,6 @@ builder.Services.AddKeyedSingleton<IContentDecoder, PdfContentDecoder>(MediaType
 builder.Services.AddKeyedSingleton<IContentDecoder, DocxContentDecoder>("application/vnd.openxmlformats-officedocument.wordprocessingml.document");
 builder.Services.AddKeyedSingleton<IContentDecoder, TextContentDecoder>(MediaTypeNames.Text.Plain);
 
-builder.Services.ConfigureHttpJsonOptions(options =>
-{
-    options.SerializerOptions.Converters.Add(new JsonStringEnumConverter());
-});
-
 builder.Services.AddOpenApi(options =>
 {
     options.RemoveServerList();
@@ -127,9 +127,9 @@ documentsApiGroup.MapPost(string.Empty, async (IFormFile file, VectorSearchServi
     [Description("The unique identifier of the document. If not provided, a new one will be generated. If you specify an existing documentId, the corresponding document will be overwritten.")] Guid? documentId = null) =>
 {
     using var stream = file.OpenReadStream();
-    documentId = await vectorSearchService.ImportAsync(stream, file.FileName, file.ContentType, documentId);
+    var response = await vectorSearchService.ImportAsync(stream, file.FileName, file.ContentType, documentId);
 
-    return TypedResults.Ok(new UploadDocumentResponse(documentId.Value));
+    return TypedResults.Ok(response);
 })
 .DisableAntiforgery()
 .ProducesProblem(StatusCodes.Status400BadRequest)
@@ -157,7 +157,7 @@ app.MapPost("/api/ask", async (Question question, VectorSearchService vectorSear
 app.MapPost("/api/ask-streaming", (Question question, VectorSearchService vectorSearchService,
     [Description("If true, the question will be reformulated taking into account the context of the chat identified by the given ConversationId.")] bool reformulate = true) =>
 {
-    async IAsyncEnumerable<Response> Stream()
+    async IAsyncEnumerable<QuestionResponse> Stream()
     {
         // Requests a streaming response.
         var responseStream = vectorSearchService.AskStreamingAsync(question, reformulate);

SqlDatabaseVectorSearch/Services/ChatService.cs

@@ -3,6 +3,8 @@ using Microsoft.Extensions.Caching.Hybrid;
 using Microsoft.Extensions.Options;
 using Microsoft.SemanticKernel.ChatCompletion;
 using Microsoft.SemanticKernel.Connectors.AzureOpenAI;
+using OpenAI.Chat;
+using SqlDatabaseVectorSearch.Models;
 using SqlDatabaseVectorSearch.Settings;
 
 namespace SqlDatabaseVectorSearch.Services;
@@ -11,7 +13,7 @@ public class ChatService(IChatCompletionService chatCompletionService, Tokenizer
 {
     private readonly AppSettings appSettings = appSettingsOptions.Value;
 
-    public async Task<string> CreateQuestionAsync(Guid conversationId, string question)
+    public async Task<ChatResponse> CreateQuestionAsync(Guid conversationId, string question)
     {
         var chat = await GetChatHistoryAsync(conversationId);
 
@@ -31,10 +33,12 @@ public class ChatService(IChatCompletionService chatCompletionService, Tokenizer
 
         await UpdateCacheAsync(conversationId, chat);
 
-        return reformulatedQuestion.Content!;
+        var tokenUsage = GetTokenUsage(reformulatedQuestion);
+
+        return new(reformulatedQuestion.Content!, tokenUsage);
     }
 
-    public async Task<string> AskQuestionAsync(Guid conversationId, IEnumerable<string> chunks, string question)
+    public async Task<ChatResponse> AskQuestionAsync(Guid conversationId, IEnumerable<string> chunks, string question)
     {
         var chat = CreateChatAsync(chunks, question);
 
@@ -46,10 +50,12 @@ public class ChatService(IChatCompletionService chatCompletionService, Tokenizer
         // Add question and answer to the chat history.
         await SetChatHistoryAsync(conversationId, question, answer.Content!);
 
-        return answer.Content!;
+        var tokenUsage = GetTokenUsage(answer);
+
+        return new(answer.Content!, tokenUsage);
     }
 
-    public async IAsyncEnumerable<string> AskStreamingAsync(Guid conversationId, IEnumerable<string> chunks, string question)
+    public async IAsyncEnumerable<ChatResponse> AskStreamingAsync(Guid conversationId, IEnumerable<string> chunks, string question)
     {
         var chat = CreateChatAsync(chunks, question);
 
@@ -61,15 +67,44 @@ public class ChatService(IChatCompletionService chatCompletionService, Tokenizer
         {
             if (!string.IsNullOrEmpty(token.Content))
             {
-                yield return token.Content;
+                yield return new(token.Content);
                 answer.Append(token.Content);
             }
+            else if (token.Content is null)
+            {
+                // Token usage is returned in the last message, when the Content is null.
+                var tokenUsage = GetTokenUsage(token);
+                if (tokenUsage is not null)
+                {
+                    yield return new(null, tokenUsage);
+                }
+            }
         }
 
         // Add question and answer to the chat history.
         await SetChatHistoryAsync(conversationId, question, answer.ToString());
     }
 
+    private static TokenUsage? GetTokenUsage(Microsoft.SemanticKernel.ChatMessageContent message)
+    {
+        if (message.InnerContent is ChatCompletion content && content.Usage is not null)
+        {
+            return new(content.Usage.InputTokenCount, content.Usage.OutputTokenCount);
+        }
+
+        return null;
+    }
+
+    private static TokenUsage? GetTokenUsage(Microsoft.SemanticKernel.StreamingChatMessageContent message)
+    {
+        if (message.InnerContent is StreamingChatCompletionUpdate content && content.Usage is not null)
+        {
+            return new(content.Usage.InputTokenCount, content.Usage.OutputTokenCount);
+        }
+
+        return null;
+    }
+
     private ChatHistory CreateChatAsync(IEnumerable<string> chunks, string question)
     {
         var chat = new ChatHistory("""

SqlDatabaseVectorSearch/Services/VectorSearchService.cs

@@ -15,12 +15,15 @@ public class VectorSearchService(IServiceProvider serviceProvider, ApplicationDb
 {
     private readonly AppSettings appSettings = appSettingsOptions.Value;
 
-    public async Task<Guid> ImportAsync(Stream stream, string name, string contentType, Guid? documentId)
+    public async Task<ImportDocumentResponse> ImportAsync(Stream stream, string name, string contentType, Guid? documentId)
     {
         // Extract the contents of the file.
         var decoder = serviceProvider.GetKeyedService<IContentDecoder>(contentType) ?? throw new NotSupportedException($"Content type '{contentType}' is not supported.");
         var content = await decoder.DecodeAsync(stream, contentType);
 
+        // We get the token count of the whole document because it is the total number of token used by embedding (it may be necessary, for example, for cost analysis).
+        var tokenCount = tokenizerService.CountTokens(content);
+
         await dbContext.Database.BeginTransactionAsync();
 
         if (documentId.HasValue)
@@ -49,7 +52,7 @@ public class VectorSearchService(IServiceProvider serviceProvider, ApplicationDb
         await dbContext.SaveChangesAsync();
         await dbContext.Database.CommitTransactionAsync();
 
-        return document.Id;
+        return new(document.Id, tokenCount);
     }
 
     public async Task<IEnumerable<Document>> GetDocumentsAsync()
@@ -82,40 +85,45 @@ public class VectorSearchService(IServiceProvider serviceProvider, ApplicationDb
     public Task DeleteDocumentAsync(Guid documentId)
             => dbContext.Documents.Where(d => d.Id == documentId).ExecuteDeleteAsync();
 
-    public async Task<Response> AskQuestionAsync(Question question, bool reformulate = true)
+    public async Task<QuestionResponse> AskQuestionAsync(Question question, bool reformulate = true)
     {
-        var (reformulatedQuestion, chunks) = await CreateContextAsync(question, reformulate);
+        // It the user doesn't want to reforulate the question, CreateContextAsync returns the original one.
+        var (reformulatedQuestion, embeddingTokenCount, chunks) = await CreateContextAsync(question, reformulate);
 
-        var answer = await chatService.AskQuestionAsync(question.ConversationId, chunks, reformulatedQuestion);
+        var (answer, tokenUsage) = await chatService.AskQuestionAsync(question.ConversationId, chunks, reformulatedQuestion.Text!);
-        return new Response(reformulatedQuestion, answer);
+
+        return new(reformulatedQuestion.Text!, answer, null, new(reformulatedQuestion.TokenUsage, embeddingTokenCount, tokenUsage));
     }
 
-    public async IAsyncEnumerable<Response> AskStreamingAsync(Question question, bool reformulate = true)
+    public async IAsyncEnumerable<QuestionResponse> AskStreamingAsync(Question question, bool reformulate = true)
     {
-        var (reformulatedQuestion, chunks) = await CreateContextAsync(question, reformulate);
+        // It the user doesn't want to reforulate the question, CreateContextAsync returns the original one.
+        var (reformulatedQuestion, embeddingTokenCount, chunks) = await CreateContextAsync(question, reformulate);
 
-        var answerStream = chatService.AskStreamingAsync(question.ConversationId, chunks, reformulatedQuestion);
+        var answerStream = chatService.AskStreamingAsync(question.ConversationId, chunks, reformulatedQuestion.Text!);
 
-        // The first message contains the original question.
+        // The first message contains the question and the corresponding token usage (if reformulated).
-        yield return new Response(reformulatedQuestion, null, StreamState.Start);
+        yield return new(reformulatedQuestion.Text!, null, StreamState.Start, new(reformulatedQuestion.TokenUsage, embeddingTokenCount, null));
 
         // Return each token as a partial response.
-        await foreach (var token in answerStream)
+        await foreach (var (token, tokenUsage) in answerStream)
         {
-            yield return new Response(null, token, StreamState.Append);
+            // Token usage is contained in the last message.
+            yield return new(null, token, StreamState.Append, tokenUsage is not null ? new(null, null, tokenUsage) : null);
         }
 
         // The last message tells the client that the stream has ended.
-        yield return new Response(null, null, StreamState.End);
+        yield return new(null, null, StreamState.End);
     }
 
-    private async Task<(string Question, IEnumerable<string> Chunks)> CreateContextAsync(Question question, bool reformulate = true)
+    private async Task<(ChatResponse ReformulatedQuestion, int EmbeddingTokenCount, IEnumerable<string> Chunks)> CreateContextAsync(Question question, bool reformulate = true)
     {
-        // Reformulate the following question taking into account the context of the chat to perform keyword search and embeddings:
+        // Reformulate the question taking into account the context of the chat to perform keyword search and embeddings.
-        var reformulatedQuestion = reformulate ? await chatService.CreateQuestionAsync(question.ConversationId, question.Text) : question.Text;
+        var reformulatedQuestion = reformulate ? await chatService.CreateQuestionAsync(question.ConversationId, question.Text) : new(question.Text);
 
         // Perform Vector Search on SQL Database.
-        var questionEmbedding = await textEmbeddingGenerationService.GenerateEmbeddingAsync(reformulatedQuestion);
+        var embeddingTokenCount = tokenizerService.CountTokens(reformulatedQuestion.Text!);
+        var questionEmbedding = await textEmbeddingGenerationService.GenerateEmbeddingAsync(reformulatedQuestion.Text!);
 
         var chunks = await dbContext.DocumentChunks
                     .OrderBy(c => EF.Functions.VectorDistance("cosine", c.Embedding, questionEmbedding.ToArray()))
@@ -123,6 +131,6 @@ public class VectorSearchService(IServiceProvider serviceProvider, ApplicationDb
                     .Take(appSettings.MaxRelevantChunks)
                     .ToListAsync();
 
-        return (reformulatedQuestion, chunks);
+        return (reformulatedQuestion, embeddingTokenCount, chunks);
     }
 }