Added try catch

Prompts/llm-prompt.txt

@@ -14,7 +14,7 @@ JSON-Objekt zurückgeben.
 Das JSON muss folgendem Schema entsprechen:
 
 {
-  "document_id": 77,
+  "document_id": {document_id},
   "success": true,
   "message": "Document processed successfully."
 }
@@ -46,10 +46,10 @@ ERFOLGSBEDINGUNGEN:
   entsprechenden MCP-Aufrufe nicht erfolgreich waren.
 
 BEISPIEL BEI ERFOLG:
-{"document_id":77,"success":true,"message":"Document processed successfully."}
+{"document_id":{document_id},"success":true,"message":"Document processed successfully."}
 
 BEISPIEL BEI FEHLER:
-{"document_id":77,"success":false,"message":"Failed to update document."}
+{"document_id":{document_id},"success":false,"message":"Failed to update document."}
 
 WICHTIG:
 Die JSON-Abschlussmeldung ist die einzige erlaubte finale Ausgabe.

Services/LLMAgentService.cs

@@ -8,45 +8,53 @@ public class LLMAgentService(ApiService apiService, Configuration config, ILogge
 {
     public async Task<LmStudioLlmResponse?> ProcessDocumentWithAI(PaperlessDocument docToProcess)
     {
-        // Prompt
+        try
-        var prompt = config.Prompt.Replace("{document_id}", docToProcess.DocumentId.ToString());
-        
-        // Request
-        var content = new LmStudioChatRequest() { 
-                Model = config.Model,
-                Input = prompt,
-                Integrations = config.IntegrationsList,
-                SystemPrompt = config.SystemPrompt,
-                ContextLength = config.ContextLength,
-                MaxOutputTokens = config.max_output_tokens,
-                Temperature = config.Temperature,
-                TopP = config.TopP,
-                Reasoning = config.Reasoning
-            };
-        var response = await apiService.Post("chat", content);
-        response.EnsureSuccessStatusCode();
-
-        // Response
-        var contentMessage = await response.Content.ReadAsStringAsync();
-        logger.LogDebug(contentMessage);
-        var chatResponseJson = JsonConvert.DeserializeObject<LmStudioChatResponse>(contentMessage);
-        var messages = chatResponseJson?.GetOutputsByResponseType("message");
-        if(messages?.Count > 1)
         {
-            logger.LogError($"To many messages received! Count: {messages?.Count}");
+            // Prompt
-            messages?.ForEach(x => logger.LogError(x.ToString()));
+            var prompt = config.Prompt.Replace("{document_id}", docToProcess.DocumentId.ToString());
-            return null;
-        }
-        if(messages?.Count == 0)
-        {
-            logger.LogError($"No messages received!");
-            return null;
-        }
-        var message = messages!.FirstOrDefault();
-        var llmResponse = JsonConvert.DeserializeObject<LmStudioLlmResponse>(message!.Content ?? string.Empty);
             
-        logger.LogInformation(llmResponse?.ToString());
+            // Request
-        return llmResponse;
+            var content = new LmStudioChatRequest() { 
+                    Model = config.Model,
+                    Input = prompt,
+                    Integrations = config.IntegrationsList,
+                    SystemPrompt = config.SystemPrompt,
+                    ContextLength = config.ContextLength,
+                    MaxOutputTokens = config.max_output_tokens,
+                    Temperature = config.Temperature,
+                    TopP = config.TopP,
+                    Reasoning = config.Reasoning
+                };
+            var response = await apiService.Post("chat", content);
+            response.EnsureSuccessStatusCode();
+
+            // Response
+            var contentMessage = await response.Content.ReadAsStringAsync();
+            logger.LogDebug(contentMessage);
+            var chatResponseJson = JsonConvert.DeserializeObject<LmStudioChatResponse>(contentMessage);
+            var messages = chatResponseJson?.GetOutputsByResponseType("message");
+            if(messages?.Count > 1)
+            {
+                logger.LogError($"To many messages received! Count: {messages?.Count}");
+                messages?.ForEach(x => logger.LogError(x.ToString()));
+                return null;
+            }
+            if(messages?.Count == 0)
+            {
+                logger.LogError($"No messages received!");
+                return null;
+            }
+            var message = messages!.FirstOrDefault();
+            var llmResponse = JsonConvert.DeserializeObject<LmStudioLlmResponse>(message!.Content ?? string.Empty);
+            
+            logger.LogInformation(llmResponse?.ToString());
+            return llmResponse;
+        }
+        catch (Exception e)
+        {
+            logger.LogError(e.ToString());
+        }
+        return null;
     }
 
     internal async Task UnloadModel()