Features/refactor llm cost

src/Infrastructure/BotSharp.Abstraction/Conversations/Models/TokenStatsModel.cs

@@ -5,8 +5,14 @@ public class TokenStatsModel
     public string Provider { get; set; }
     public string Model { get; set; }
     public string Prompt { get; set; }
-    public int PromptCount { get; set; }
-    public int CachedPromptCount { get; set; }
-    public int CompletionCount { get; set; }
+    public int TextInputTokens { get; set; }
+    public int CachedTextInputTokens { get; set; }
+    public int AudioInputTokens { get; set; }
+    public int CachedAudioInputTokens { get; set; }
+    public int TextOutputTokens { get; set; }
+    public int AudioOutputTokens { get; set; }
     public AgentLlmConfig LlmConfig { get; set; }
+
+    public int TotalInputTokens => TextInputTokens + CachedTextInputTokens + AudioInputTokens + CachedAudioInputTokens;
+    public int TotalOutputTokens => TextOutputTokens + AudioOutputTokens;
 }

src/Infrastructure/BotSharp.Abstraction/MLTasks/Settings/LlmModelSetting.cs

@@ -42,35 +42,33 @@ public class LlmModelSetting
     /// </summary>
     public bool ImageGeneration { get; set; }
 
-    /// <summary>
-    /// Prompt cost per 1K token
-    /// </summary>
-    public float PromptCost { get; set; }
-
-    /// <summary>
-    /// Completion cost per 1K token
-    /// </summary>
-    public float CompletionCost { get; set; }
-
     /// <summary>
     /// Embedding dimension
     /// </summary>
     public int Dimension { get; set; }
 
-    public LlmCost AdditionalCost { get; set; } = new();
+    public LlmCost Cost { get; set; } = new();
 
     public override string ToString()
     {
         return $"[{Type}] {Name} {Endpoint}";
     }
 }
 
+/// <summary>
+/// Cost per 1K tokens
+/// </summary>
 public class LlmCost
 {
-    public float CachedPromptCost { get; set; } = 0f;
-    public float AudioPromptCost { get; set; } = 0f;
-    public float ReasoningCompletionCost { get; } = 0f;
-    public float AudioCompletionCost { get; } = 0f;
+    // Input
+    public float TextInputCost { get; set; } = 0f;
+    public float CachedTextInputCost { get; set; } = 0f;
+    public float AudioInputCost { get; set; } = 0f;
+    public float CachedAudioInputCost { get; set; } = 0f;
+
+    // Output
+    public float TextOutputCost { get; set; } = 0f;
+    public float AudioOutputCost { get; set; } = 0f;
 }
 
 public enum LlmModelType

src/Infrastructure/BotSharp.Core/Conversations/Services/TokenStatistics.cs

@@ -35,28 +35,33 @@ public TokenStatistics(IServiceProvider services, ILogger<TokenStatistics> logge
     public void AddToken(TokenStatsModel stats, RoleDialogModel message)
     {
         _model = stats.Model;
-        _promptTokenCount += stats.PromptCount;
-        _completionTokenCount += stats.CompletionCount;
+        _promptTokenCount += stats.TotalInputTokens;
+        _completionTokenCount += stats.TotalOutputTokens;
 
         var settingsService = _services.GetRequiredService<ILlmProviderService>();
         var settings = settingsService.GetSetting(stats.Provider, _model);
 
-        var deltaPromptCost = (stats.PromptCount - stats.CachedPromptCount) / 1000f * settings.PromptCost;
-        var deltaCachedPromptCost = stats.CachedPromptCount / 1000f * (settings.AdditionalCost?.CachedPromptCost ?? 0f);
-        var deltaCompletionCost = stats.CompletionCount / 1000f * settings.CompletionCost;
+        var deltaTextInputCost = stats.TextInputTokens / 1000f * (settings.Cost?.TextInputCost ?? 0f);
+        var deltaCachedTextInputCost = stats.CachedTextInputTokens / 1000f * (settings.Cost?.CachedTextInputCost ?? 0f);
+        var deltaAudioInputCost = stats.AudioInputTokens / 1000f * (settings.Cost?.AudioInputCost ?? 0f);
+        var deltaCachedAudioInputCost = stats.CachedAudioInputTokens / 1000f * (settings.Cost?.CachedAudioInputCost ?? 0f);
 
-        var deltaTotal = deltaPromptCost + deltaCachedPromptCost + deltaCompletionCost;
+        var deltaTextOutputCost = stats.TextOutputTokens / 1000f * (settings.Cost?.TextOutputCost ?? 0f);
+        var deltaAudioOutputCost = stats.AudioOutputTokens / 1000f * (settings.Cost?.AudioOutputCost ?? 0f);
+
+        var deltaPromptCost = deltaTextInputCost + deltaCachedTextInputCost + deltaAudioInputCost + deltaCachedAudioInputCost;
+        var deltaCompletionCost = deltaTextOutputCost + deltaAudioOutputCost;
+
+        var deltaTotal = deltaPromptCost + deltaCompletionCost;
         _promptCost += deltaPromptCost;
         _completionCost += deltaCompletionCost;
 
         // Accumulated Token
         var stat = _services.GetRequiredService<IConversationStateService>();
         var inputCount = int.Parse(stat.GetState("prompt_total", "0"));
-        stat.SetState("prompt_total", stats.PromptCount + inputCount, isNeedVersion: false, source: StateSource.Application);
+        stat.SetState("prompt_total", stats.TotalInputTokens + inputCount, isNeedVersion: false, source: StateSource.Application);
         var outputCount = int.Parse(stat.GetState("completion_total", "0"));
-        stat.SetState("completion_total", stats.CompletionCount + outputCount, isNeedVersion: false, source: StateSource.Application);
-        var cachedCount = int.Parse(stat.GetState("cached_prompt_total", "0"));
-        stat.SetState("cached_prompt_total", stats.CachedPromptCount + cachedCount, isNeedVersion: false, source: StateSource.Application);
+        stat.SetState("completion_total", stats.TotalOutputTokens + outputCount, isNeedVersion: false, source: StateSource.Application);
 
         // Total cost
         var total_cost = float.Parse(stat.GetState("llm_total_cost", "0"));
@@ -76,8 +81,8 @@ public void AddToken(TokenStatsModel stats, RoleDialogModel message)
             RecordTime = DateTime.UtcNow,
             IntervalType = StatsInterval.Day,
             Data = [
-                new StatsKeyValuePair("prompt_token_count_total", stats.PromptCount),
-                new StatsKeyValuePair("completion_token_count_total", stats.CompletionCount),
+                new StatsKeyValuePair("prompt_token_count_total", stats.TotalInputTokens),
+                new StatsKeyValuePair("completion_token_count_total", stats.TotalOutputTokens),
                 new StatsKeyValuePair("prompt_cost_total", deltaPromptCost),
                 new StatsKeyValuePair("completion_cost_total", deltaCompletionCost)
             ]

src/Infrastructure/BotSharp.OpenAPI/Controllers/InstructModeController.cs

@@ -551,8 +551,8 @@ public async Task<SpeechToTextViewModel> SpeechToText(IFormFile file,
 
         try
         {
-            var auditData = FileUtility.BuildFileDataFromFile(file);
-            var content = await fileInstruct.SpeechToText(new InstructFileModel { FileData = auditData }, text, new InstructOptions
+            var audioData = FileUtility.BuildFileDataFromFile(file);
+            var content = await fileInstruct.SpeechToText(new InstructFileModel { FileData = audioData }, text, new InstructOptions
             {
                 Provider = provider,
                 Model = model,

src/Plugins/BotSharp.Plugin.AnthropicAI/Providers/ChatCompletionProvider.cs

@@ -81,8 +81,8 @@ public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDial
                 Prompt = prompt,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response.Usage?.InputTokens ?? 0,
-                CompletionCount = response.Usage?.OutputTokens ?? 0
+                TextInputTokens = response.Usage?.InputTokens ?? 0,
+                TextOutputTokens = response.Usage?.OutputTokens ?? 0
             });
         }
 

src/Plugins/BotSharp.Plugin.AzureOpenAI/Providers/Chat/ChatCompletionProvider.cs

@@ -1,3 +1,4 @@
+using Azure;
 using BotSharp.Abstraction.Files.Utilities;
 using OpenAI.Chat;
 using System.ClientModel;
@@ -40,12 +41,13 @@ public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDial
         var chatClient = client.GetChatClient(_model);
         var (prompt, messages, options) = PrepareOptions(agent, conversations);
 
+        ClientResult<ChatCompletion>? response = null;
         ChatCompletion value = default;
         RoleDialogModel responseMessage;
 
         try
         {
-            var response = chatClient.CompleteChat(messages, options);
+            response = chatClient.CompleteChat(messages, options);
             value = response.Value;
 
             var reason = value.FinishReason;
@@ -101,6 +103,9 @@ public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDial
             };
         }
 
+        var tokenUsage = response?.Value?.Usage;
+        var inputTokenDetails = response?.Value?.Usage?.InputTokenDetails;
+
         // After chat completion hook
         foreach (var hook in contentHooks)
         {
@@ -109,8 +114,9 @@ public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDial
                 Prompt = prompt,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = value?.Usage?.InputTokenCount ?? 0,
-                CompletionCount = value?.Usage?.OutputTokenCount ?? 0
+                TextInputTokens = (tokenUsage?.InputTokenCount ?? 0) - (inputTokenDetails?.CachedTokenCount ?? 0),
+                CachedTextInputTokens = inputTokenDetails?.CachedTokenCount ?? 0,
+                TextOutputTokens = tokenUsage?.OutputTokenCount ?? 0
             });
         }
 
@@ -146,6 +152,9 @@ public async Task<bool> GetChatCompletionsAsync(Agent agent,
             RenderedInstruction = string.Join("\r\n", renderedInstructions)
         };
 
+        var tokenUsage = response?.Value?.Usage;
+        var inputTokenDetails = response?.Value?.Usage?.InputTokenDetails;
+
         // After chat completion hook
         foreach (var hook in hooks)
         {
@@ -154,8 +163,9 @@ public async Task<bool> GetChatCompletionsAsync(Agent agent,
                 Prompt = prompt,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response.Value?.Usage?.InputTokenCount ?? 0,
-                CompletionCount = response.Value?.Usage?.OutputTokenCount ?? 0
+                TextInputTokens = (tokenUsage?.InputTokenCount ?? 0) - (inputTokenDetails?.CachedTokenCount ?? 0),
+                CachedTextInputTokens = inputTokenDetails?.CachedTokenCount ?? 0,
+                TextOutputTokens = tokenUsage?.OutputTokenCount ?? 0
             });
         }
 

src/Plugins/BotSharp.Plugin.AzureOpenAI/Providers/Text/TextCompletionProvider.cs

@@ -78,14 +78,15 @@ public async Task<string> GetCompletion(string text, string agentId, string mess
             CurrentAgentId = agentId,
             MessageId = messageId
         };
+
         Task.WaitAll(contentHooks.Select(hook =>
             hook.AfterGenerated(responseMessage, new TokenStatsModel
             {
                 Prompt = text,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response.Usage?.PromptTokens ?? default,
-                CompletionCount = response.Usage?.CompletionTokens ?? default
+                TextInputTokens = response?.Usage?.PromptTokens ?? 0,
+                TextOutputTokens = response?.Usage?.CompletionTokens ?? 0
             })).ToArray());
 
         return completion.Trim();

src/Plugins/BotSharp.Plugin.DeepSeekAI/Providers/Chat/ChatCompletionProvider.cs

@@ -73,6 +73,9 @@ public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDial
             };
         }
 
+        var tokenUsage = response?.Value?.Usage;
+        var inputTokenDetails = response?.Value?.Usage?.InputTokenDetails;
+
         // After chat completion hook
         foreach (var hook in contentHooks)
         {
@@ -81,8 +84,9 @@ public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDial
                 Prompt = prompt,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response.Value?.Usage?.InputTokenCount ?? 0,
-                CompletionCount = response.Value?.Usage?.OutputTokenCount ?? 0
+                TextInputTokens = (tokenUsage?.InputTokenCount ?? 0) - (inputTokenDetails?.CachedTokenCount ?? 0),
+                CachedTextInputTokens = inputTokenDetails?.CachedTokenCount ?? 0,
+                TextOutputTokens = tokenUsage?.OutputTokenCount ?? 0
             });
         }
 
@@ -115,6 +119,9 @@ public async Task<bool> GetChatCompletionsAsync(Agent agent, List<RoleDialogMode
             RenderedInstruction = string.Join("\r\n", renderedInstructions)
         };
 
+        var tokenUsage = response?.Value?.Usage;
+        var inputTokenDetails = response?.Value?.Usage?.InputTokenDetails;
+
         // After chat completion hook
         foreach (var hook in hooks)
         {
@@ -123,8 +130,9 @@ public async Task<bool> GetChatCompletionsAsync(Agent agent, List<RoleDialogMode
                 Prompt = prompt,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response.Value?.Usage?.InputTokenCount ?? 0,
-                CompletionCount = response.Value?.Usage?.OutputTokenCount ?? 0
+                TextInputTokens = (tokenUsage?.InputTokenCount ?? 0) - (inputTokenDetails?.CachedTokenCount ?? 0),
+                CachedTextInputTokens = inputTokenDetails?.CachedTokenCount ?? 0,
+                TextOutputTokens = tokenUsage?.OutputTokenCount ?? 0
             });
         }
 

src/Plugins/BotSharp.Plugin.DeepSeekAI/Providers/Text/TextCompletionProvider.cs

@@ -61,15 +61,19 @@ public async Task<string> GetCompletion(string text, string agentId, string mess
             MessageId = messageId
         };
 
+        var tokenUsage = response?.Value?.Usage;
+        var inputTokenDetails = response?.Value?.Usage?.InputTokenDetails;
+
         foreach (var hook in contentHooks)
         {
             await hook.AfterGenerated(responseMessage, new TokenStatsModel
             {
                 Prompt = text,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response?.Value?.Usage?.InputTokenCount ?? default,
-                CompletionCount = response?.Value?.Usage?.OutputTokenCount ?? default
+                TextInputTokens = (tokenUsage?.InputTokenCount ?? 0) - (inputTokenDetails?.CachedTokenCount ?? 0),
+                CachedTextInputTokens = inputTokenDetails?.CachedTokenCount ?? 0,
+                TextOutputTokens = tokenUsage?.OutputTokenCount ?? 0
             });
         }
 

src/Plugins/BotSharp.Plugin.GoogleAI/Providers/Chat/GeminiChatCompletionProvider.cs

@@ -81,9 +81,8 @@ public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDial
                 Prompt = prompt,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response.UsageMetadata?.PromptTokenCount ?? 0,
-                CachedPromptCount = response.UsageMetadata?.CachedContentTokenCount ?? 0,
-                CompletionCount = response.UsageMetadata?.CandidatesTokenCount ?? 0
+                TextInputTokens = response?.UsageMetadata?.PromptTokenCount ?? 0,
+                TextOutputTokens = response?.UsageMetadata?.CandidatesTokenCount ?? 0
             });
         }
 
@@ -124,9 +123,8 @@ public async Task<bool> GetChatCompletionsAsync(Agent agent, List<RoleDialogMode
                 Prompt = prompt,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response?.UsageMetadata?.PromptTokenCount ?? 0,
-                CachedPromptCount = response.UsageMetadata?.CachedContentTokenCount ?? 0,
-                CompletionCount = response.UsageMetadata?.CandidatesTokenCount ?? 0
+                TextInputTokens = response?.UsageMetadata?.PromptTokenCount ?? 0,
+                TextOutputTokens = response?.UsageMetadata?.CandidatesTokenCount ?? 0
             });
         }
 

src/Plugins/BotSharp.Plugin.GoogleAI/Providers/Text/GeminiTextCompletionProvider.cs

@@ -64,9 +64,8 @@ public async Task<string> GetCompletion(string text, string agentId, string mess
                 Prompt = text,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response.UsageMetadata?.PromptTokenCount ?? 0,
-                CachedPromptCount = response.UsageMetadata?.CachedContentTokenCount ?? 0,
-                CompletionCount = response.UsageMetadata?.CandidatesTokenCount ?? 0
+                TextInputTokens = response?.UsageMetadata?.PromptTokenCount ?? 0,
+                TextOutputTokens = response?.UsageMetadata?.CandidatesTokenCount ?? 0
             });
         }
 

src/Plugins/BotSharp.Plugin.LangChain/Providers/TextCompletionProvider.cs

@@ -46,14 +46,14 @@ public async Task<string> GetCompletion(string text, string agentId, string mess
             };
 
             Task.WaitAll(contentHooks.Select(hook =>
-            hook.AfterGenerated(responseMessage, new TokenStatsModel
-            {
-                Prompt = text,
-                Provider = Provider,
-                Model = _model,
-                PromptCount = response.Usage.TotalTokens,
-                CompletionCount = response.Usage.OutputTokens
-            })).ToArray());
+                hook.AfterGenerated(responseMessage, new TokenStatsModel
+                {
+                    Prompt = text,
+                    Provider = Provider,
+                    Model = _model,
+                    TextInputTokens = response.Usage.InputTokens,
+                    TextOutputTokens = response.Usage.OutputTokens
+                })).ToArray());
 
             return response.LastMessageContent;
         }

src/Plugins/BotSharp.Plugin.MetaGLM/Providers/ChatCompletionProvider.cs

@@ -78,8 +78,8 @@ public async Task<RoleDialogModel> GetChatCompletions(Agent agent, List<RoleDial
                 Prompt = prompt,
                 Provider = Provider,
                 Model = _model,
-                PromptCount = response.usage.GetValueOrDefault("prompt_tokens"),
-                CompletionCount = response.usage.GetValueOrDefault("completion_tokens")
+                TextInputTokens = response.usage.GetValueOrDefault("prompt_tokens"),
+                TextOutputTokens = response.usage.GetValueOrDefault("completion_tokens")
             });
         }