Enhance trading bot functionality and LLM system message clarity

- Added BotTradingBalance property to UserStrategyDetailsViewModel for better tracking of bot allocations.
- Updated DataController to include BotTradingBalance in the response model.
- Improved LlmController by refining the system message to ensure LLM understands its response capabilities and tool usage.
- Introduced new MCP tools for running and analyzing bundle backtests, enhancing backtesting capabilities for users.
- Implemented security measures in BotTools to ensure users can only access their own bots, improving data privacy.

src/Managing.Api/Controllers/DataController.cs

@@ -632,7 +632,8 @@ public class DataController : ControllerBase
             Identifier = strategy.Identifier,
             WalletBalances = walletBalances,
             Ticker = strategy.Ticker,
-            MasterAgentName = strategy.MasterBotUser?.AgentName
+            MasterAgentName = strategy.MasterBotUser?.AgentName,
+            BotTradingBalance = strategy.BotTradingBalance
         };
     }
 

src/Managing.Api/Controllers/LlmController.cs

@@ -57,23 +57,28 @@ public class LlmController : BaseController
             var availableTools = await _mcpService.GetAvailableToolsAsync();
             request.Tools = availableTools.ToList();
 
-            // Add system message to clarify that tools are optional and the LLM can respond directly
-            // Check if a system message already exists
-            var hasSystemMessage = request.Messages.Any(m => m.Role == "system");
-            if (!hasSystemMessage)
+            // Add or prepend system message to ensure LLM knows it can respond directly
+            // Remove any existing system messages first to ensure our directive is clear
+            var existingSystemMessages = request.Messages.Where(m => m.Role == "system").ToList();
+            foreach (var msg in existingSystemMessages)
             {
-                var systemMessage = new LlmMessage
-                {
-                    Role = "system",
-                    Content = "You are a helpful AI assistant with expertise in quantitative finance, algorithmic trading, and financial mathematics. " +
-                              "You can answer questions directly using your knowledge. " +
-                              "Tools are available for specific operations (backtesting, agent management, market data retrieval, etc.) but are optional. " +
-                              "Use tools only when they are needed for the specific task. " +
-                              "For general questions, explanations, calculations, or discussions, respond directly without using tools."
-                };
-                request.Messages.Insert(0, systemMessage);
+                request.Messages.Remove(msg);
             }
 
+            // Add explicit system message at the beginning
+            var systemMessage = new LlmMessage
+            {
+                Role = "system",
+                Content = "You are an expert AI assistant specializing in quantitative finance, algorithmic trading, and financial mathematics. " +
+                          "You have full knowledge and can answer ANY question directly using your training data and expertise. " +
+                          "IMPORTANT: You MUST answer general questions, explanations, calculations, and discussions directly without using tools. " +
+                          "Tools are ONLY for specific system operations like backtesting, agent management, or retrieving real-time market data. " +
+                          "For questions about financial concepts, mathematical formulas (like Black-Scholes), trading strategies, or any theoretical knowledge, " +
+                          "you MUST provide a direct answer using your knowledge. Do NOT refuse to answer or claim you can only use tools. " +
+                          "Only use tools when the user explicitly needs to perform a system operation (e.g., 'run a backtest', 'get market data', 'manage agents')."
+            };
+            request.Messages.Insert(0, systemMessage);
+
             // Send chat request to LLM
             var response = await _llmService.ChatAsync(user, request);
 

src/Managing.Api/Models/Responses/UserStrategyDetailsViewModel.cs

@@ -112,5 +112,11 @@ namespace Managing.Api.Models.Responses
         /// The agent name of the master bot's owner (for copy trading bots)
         /// </summary>
         public string MasterAgentName { get; set; }
+
+        /// <summary>
+        /// The trading balance allocated to this bot
+        /// </summary>
+        [Required]
+        public decimal BotTradingBalance { get; set; }
     }
 }