Add GetVectors batch interface.

src/Infrastructure/BotSharp.Abstraction/Conversations/IConversationService.cs

@@ -27,21 +27,6 @@ Task<bool> SendMessage(string agentId,
         Func<RoleDialogModel, Task> onMessageReceived, 
         Func<RoleDialogModel, Task> onFunctionExecuting);
 
-    /// <summary>
-    /// Send message to LLM if frontend passed over the dialog history
-    /// </summary>
-    /// <param name="agentId"></param>
-    /// <param name="conversationId"></param>
-    /// <param name="wholeDialogs"></param>
-    /// <param name="onMessageReceived"></param>
-    /// <param name="onFunctionExecuting">This delegate is useful when you want to report progress on UI</param>
-    /// <returns></returns>
-    Task<bool> SendMessage(string agentId, 
-        string conversationId, 
-        List<RoleDialogModel> wholeDialogs, 
-        Func<RoleDialogModel, Task> onMessageReceived,
-        Func<RoleDialogModel, Task> onFunctionExecuting);
-
     List<RoleDialogModel> GetDialogHistory(string conversationId, int lastCount = 20);
     Task CleanHistory(string agentId);
 }

src/Infrastructure/BotSharp.Abstraction/Conversations/IConversationStateService.cs

@@ -11,5 +11,6 @@ public interface IConversationStateService
     ConversationState Load();
     string GetState(string name);
     void SetState(string name, string value);
+    void CleanState();
     void Save();
 }

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

@@ -23,7 +23,9 @@ public class RoleDialogModel
     /// When function callback has been executed, system will pass result to LLM again,
     /// Set this property to True to stop calling LLM.
     /// </summary>
-    public bool StopSubsequentInteraction { get;set; }
+    public bool StopSubsequentInteraction { get; set; }
+
+    public bool IsConversationEnd { get; set; }
 
     /// <summary>
     /// Channel name

src/Infrastructure/BotSharp.Abstraction/MLTasks/ITextEmbedding.cs

@@ -4,4 +4,5 @@ public interface ITextEmbedding
 {
     int Dimension { get; }
     float[] GetVector(string text);
+    List<float[]> GetVectors(List<string> texts);
 }

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

@@ -1,4 +1,3 @@
-using BotSharp.Abstraction.Agents.Enums;
 using BotSharp.Abstraction.Conversations.Models;
 using BotSharp.Abstraction.Functions;
 using BotSharp.Abstraction.MLTasks;
@@ -79,18 +78,6 @@ public async Task<bool> SendMessage(string agentId, string conversationId,
 
         var wholeDialogs = GetDialogHistory(conversationId);
 
-        var response = await SendMessage(agentId, conversationId, wholeDialogs, 
-            onMessageReceived: onMessageReceived, 
-            onFunctionExecuting: onFunctionExecuting);
-
-        return response;
-    }
-
-    public async Task<bool> SendMessage(string agentId, string conversationId, 
-        List<RoleDialogModel> wholeDialogs, 
-        Func<RoleDialogModel, Task> onMessageReceived,
-        Func<RoleDialogModel, Task> onFunctionExecuting)
-    {        
         var converation = await GetConversation(conversationId);
 
         // Create conversation if this conversation not exists
@@ -109,11 +96,11 @@ public async Task<bool> SendMessage(string agentId, string conversationId,
         stateService.SetConversation(conversationId);
         stateService.Load();
         stateService.SetState("agentId", agentId);
-        
+
         // load agent
         var agentService = _services.GetRequiredService<IAgentService>();
         var agent = await agentService.LoadAgent(agentId);
-        
+
         // Get relevant domain knowledge
         /*if (_settings.EnableKnowledgeBase)
         {
@@ -162,6 +149,12 @@ public async Task<bool> SendMessage(string agentId, string conversationId,
 
                 await onMessageReceived(msg);
             }
+
+            // Clean conversation
+            if (msg.IsConversationEnd)
+            {
+                stateService.CleanState();
+            }
         });
 
         return result;

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

@@ -1,6 +1,4 @@
 using BotSharp.Abstraction.Conversations.Models;
-using Microsoft.EntityFrameworkCore.Metadata.Internal;
-using Microsoft.Extensions.Logging;
 using System.IO;
 
 namespace BotSharp.Core.Conversations.Services;
@@ -89,6 +87,11 @@ public void Save()
         _logger.LogInformation($"Saved state {_conversationId}");
     }
 
+    public void CleanState()
+    {
+        File.Delete(_file);
+    }
+
     private string GetStorageFile(string conversationId)
     {
         var dir = Path.Combine(_dbSettings.FileRepository, "conversations", conversationId);

src/Infrastructure/BotSharp.Core/Plugins/LLamaSharp/TextEmbeddingProvider.cs

@@ -26,4 +26,9 @@ public float[] GetVector(string text)
 
         return _embedder.GetEmbeddings(text);
     }
+
+    public List<float[]> GetVectors(List<string> texts)
+    {
+        throw new NotImplementedException();
+    }
 }

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

@@ -124,6 +124,15 @@ public async Task<bool> GetChatCompletionsAsync(Agent agent, List<RoleDialogMode
                 return true;
             }
 
+            if (funcContextIn.IsConversationEnd)
+            {
+                await onMessageReceived(new RoleDialogModel(ChatRole.Assistant.ToString(), funcContextIn.Content)
+                {
+                    IsConversationEnd = true
+                });
+                return true;
+            }
+
             // After function is executed, pass the result to LLM
             chatCompletionsOptions.Messages.Add(new ChatMessage(ChatRole.Function, funcContextIn.ExecutionResult)
             {

src/Plugins/BotSharp.Plugin.ChatbotUI/ChatbotUiController.cs

@@ -16,6 +16,8 @@
 using BotSharp.Abstraction.Conversations;
 using BotSharp.Abstraction.Conversations.Models;
 using Microsoft.AspNetCore.Authorization;
+using BotSharp.Abstraction.Agents.Models;
+using BotSharp.Abstraction.Agents.Enums;
 
 namespace BotSharp.Plugin.ChatbotUI.Controllers;
 
@@ -60,15 +62,16 @@ public async Task SendMessage([FromBody] OpenAiMessageInput input)
         Response.Headers.Add(HeaderNames.Connection, "keep-alive");
         var outputStream = Response.Body;
 
-        var conversations = input.Messages
+        var conversation = input.Messages
+            .Where(x => x.Role == AgentRole.User)
             .Select(x => new RoleDialogModel(x.Role, x.Content))
-            .ToList();
+            .Last();
 
         var conversationService = _services.GetRequiredService<IConversationService>();
 
         var result = await conversationService.SendMessage(input.AgentId, 
-            input.ConversationId, 
-            conversations, 
+            input.ConversationId,
+            conversation, 
             async msg => 
                 await OnChunkReceived(outputStream, msg),
             async fn 

src/Plugins/BotSharp.Plugin.MetaAI/Providers/fastTextEmbeddingProvider.cs

@@ -1,6 +1,7 @@
 using BotSharp.Abstraction.MLTasks;
 using BotSharp.Plugin.MetaAI.Settings;
 using FastText.NetWrapper;
+using System.Collections.Generic;
 using System.IO;
 
 namespace BotSharp.Plugin.MetaAI.Providers;
@@ -42,4 +43,14 @@ public float[] GetVector(string text)
 
         return _fastText.GetSentenceVector(text);
     }
+
+    public List<float[]> GetVectors(List<string> texts)
+    {
+        var vectors = new List<float[]>();
+        for (int i = 0; i < texts.Count; i++)
+        {
+            vectors.Add(GetVector(texts[i]));
+        }
+        return vectors;
+    }
 }