feat: Semantische Suche über Chat-History (memory_search)

- Lokales Embedding-Model (all-MiniLM-L6-v2, ONNX, CPU)
- EmbeddingService: WordPiece-Tokenizer + Mean Pooling (384 Dim)
- VectorSearchService: SQLite-basierte Vektor-Speicherung + Cosine Similarity
- EmbeddingBackgroundService: Backfill bestehender Messages + Live-Queue
- Neues Tool memory_search: Semantische Suche über alle Sessions (inkl. archivierte)
- ~9000 Messages embedded, Suche über komplette Chat-History

Services/AnthropicService.cs

@@ -22,8 +22,10 @@ public class AnthropicService
     private readonly MemoryService _memoryService;
     private readonly bool _payloadLogging;
     private readonly bool _payloadLoggingGzip;
+    private readonly VectorSearchService _vectorSearch;
+    private readonly EmbeddingBackgroundService _embeddingBg;
 
-    public AnthropicService(IHttpClientFactory httpFactory, string token, ToolService toolService, DatabaseService db, MemoryService memoryService = null, bool payloadLogging = false, bool payloadLoggingGzip = false)
+    public AnthropicService(IHttpClientFactory httpFactory, string token, ToolService toolService, DatabaseService db, MemoryService memoryService = null, bool payloadLogging = false, bool payloadLoggingGzip = false, VectorSearchService vectorSearch = null, EmbeddingBackgroundService embeddingBg = null)
     {
         _httpFactory = httpFactory;
         _token = token;
@@ -32,6 +34,8 @@ public class AnthropicService
         _memoryService = memoryService;
         _payloadLogging = payloadLogging;
         _payloadLoggingGzip = payloadLoggingGzip;
+        _vectorSearch = vectorSearch;
+        _embeddingBg = embeddingBg;
     }
 
     public async Task StreamChat(
@@ -153,12 +157,14 @@ public class AnthropicService
 
                     if (blockType == "text")
                     {
-                        await _db.SaveMessage(new MessageRecord
+                        var textContent = el.GetProperty("text").GetString();
+                        var msgId = await _db.SaveMessage(new MessageRecord
                         {
                             ChainId = chainId, Iteration = iterations,
                             Role = "assistant", Type = "text",
-                            Content = el.GetProperty("text").GetString()
+                            Content = textContent
                         });
+                        _embeddingBg?.Enqueue(msgId, chainId, sessionId, agentId, "assistant", textContent ?? "");
                     }
                     else if (blockType == "tool_use")
                     {
@@ -832,7 +838,7 @@ public class AnthropicService
 
                     string toolResult;
                     bool isError = false;
-                    try { toolResult = await _toolService.ExecuteTool(toolName, toolInput, agentWorkspace, _memoryService, agentId, workCt); }
+                    try { toolResult = await _toolService.ExecuteTool(toolName, toolInput, agentWorkspace, _memoryService, agentId, workCt, vectorSearch: _vectorSearch); }
                     catch (OperationCanceledException) { throw; }
                     catch (Exception ex) { toolResult = $"Fehler: {ex.Message}"; isError = true; }
 
@@ -1038,7 +1044,7 @@ public class AnthropicService
 
                         string toolResult;
                         bool isError = false;
-                        try { toolResult = await _toolService.ExecuteTool(toolName, toolInput, ctx.Workspace, _memoryService, ctx.AgentId); }
+                        try { toolResult = await _toolService.ExecuteTool(toolName, toolInput, ctx.Workspace, _memoryService, ctx.AgentId, vectorSearch: _vectorSearch); }
                         catch (OperationCanceledException) { throw; }
                         catch (Exception ex) { toolResult = $"Fehler: {ex.Message}"; isError = true; }
 
@@ -1339,7 +1345,7 @@ public class AnthropicService
 
                             string toolResult;
                             bool isError = false;
-                            try { toolResult = await _toolService.ExecuteTool(currentToolName, inputEl, workspace, _memoryService, agentId, workCt, remoteMgr: remoteMgr, sessionId: sessionId); }
+                            try { toolResult = await _toolService.ExecuteTool(currentToolName, inputEl, workspace, _memoryService, agentId, workCt, remoteMgr: remoteMgr, sessionId: sessionId, vectorSearch: _vectorSearch); }
                             catch (OperationCanceledException) { throw; }
                             catch (Exception ex) { toolResult = $"Fehler: {ex.Message}"; isError = true; }
 
@@ -1516,7 +1522,8 @@ public class AnthropicService
     {
         var hasWorkspace = !string.IsNullOrEmpty(workspace);
         var includeMemory = useMemory && _memoryService != null && !string.IsNullOrEmpty(agentId);
-        var hasTools = hasWorkspace || includeMemory || includeRemote;
+        var includeMemorySearch = _vectorSearch != null && _vectorSearch.GetEmbeddingCount() > 0;
+        var hasTools = hasWorkspace || includeMemory || includeRemote || includeMemorySearch;
         var hasWebSearch = !string.IsNullOrEmpty(webSearchVersion);
 
         if (!hasTools && !hasWebSearch) return;
@@ -1524,7 +1531,7 @@ public class AnthropicService
         var tools = new List<object>();
         if (hasTools)
         {
-            var allTools = _toolService.GetToolDefinitions(includeFileTools: hasWorkspace, includeMemory: includeMemory, includeUserChoice: allowUserChoice, includeRemote: includeRemote);
+            var allTools = _toolService.GetToolDefinitions(includeFileTools: hasWorkspace, includeMemory: includeMemory, includeUserChoice: allowUserChoice, includeRemote: includeRemote, includeMemorySearch: includeMemorySearch);
             if (planMode)
                 allTools = _toolService.FilterReadOnlyTools(allTools);
             tools.AddRange(allTools);