...

src/main/kotlin/service/LlamaServerManager.kt

@@ -3,6 +3,7 @@ package service
 import kotlinx.coroutines.CoroutineScope
 import kotlinx.coroutines.Dispatchers
 import kotlinx.coroutines.SupervisorJob
+import kotlinx.coroutines.delay
 import kotlinx.coroutines.launch
 import network.RagService
 import util.HardwareDetector
@@ -47,6 +48,24 @@ object LlamaServerManager {
         }
     }
 
+    fun checkPortStatus(port: Int): String {
+        return try {
+            // netstat 명령어로 해당 포트를 점유 중인 프로세스 확인
+            val process = Runtime.getRuntime().exec("cmd /c netstat -ano | findstr :$port")
+            val reader = process.inputStream.bufferedReader()
+            val result = reader.readText()
+
+            if (result.contains("LISTENING")) {
+                val pid = result.trim().split(Regex("\\s+")).last()
+                "✅ 포트 $port 상태: 사용 중 (PID: $pid - 정상 대기 중)"
+            } else {
+                "⚠️ 포트 $port 상태: 리스닝 상태가 아님 (서버 미구동 또는 차단 가능성)"
+            }
+        } catch (e: Exception) {
+            "❌ 포트 점검 실패: ${e.message}"
+        }
+    }
+
     fun startServer(binPath: String, modelPath: String, port: Int) {
 
         if (processes.containsKey(port) || modelPath.isBlank()) return
@@ -64,8 +83,10 @@ object LlamaServerManager {
         val optimalThreads = (cpuCores * ratio).toInt().coerceIn(4, 16)
 
 // 2. optimalGpuLayers: GPU 가속 조건 (윈도우 NVIDIA 또는 맥 ARM)
-        val optimalGpuLayers = if ((isWin && hasGpu) || isMacArm) 99 else 4
-
+        var optimalGpuLayers = if ((isWin && hasGpu) || isMacArm) 99 else 4
+        if(HardwareDetector.getCpuName().contains("i7")) {
+            optimalGpuLayers = 0
+        }
         println("🖥️ OS: $os / Arch: $arch")
         println("⚙️ 할당 스레드: $optimalThreads (Core: $cpuCores, Ratio: $ratio)")
         println("🚀 GPU 레이어: $optimalGpuLayers (NVIDIA/MacArm: ${if(optimalGpuLayers == 99) "YES" else "NO"})")
@@ -117,6 +138,14 @@ object LlamaServerManager {
                 processes[port] = process
                 println("✅ AI 서버 시작 시도 (Port: $port, Model: ${File(modelPath).name})")
 
+                delay(3000)
+
+                val status = checkPortStatus(port)
+                println(status) // 콘솔 로그
+
+                // UI 로그 스토어에도 기록 (TradingDecisionLog 등에서 확인 가능)
+                TradingLogStore.addAnalyzer("System", "Port:$port", status, status.contains("✅"))
+
                 val reader = BufferedReader(InputStreamReader(process.inputStream))
                 var line: String?
                 while (reader.readLine().also { line = it } != null) {

src/main/kotlin/util/HardwareDetector.kt

@@ -18,4 +18,29 @@ object HardwareDetector {
             false
         }
     }
+
+
+    fun getWindowsCpuName(): String {
+        return try {
+            val process = Runtime.getRuntime().exec("wmic cpu get name")
+            val reader = process.inputStream.bufferedReader()
+            reader.readLine() // 첫 줄(Name) 건너뛰기
+            reader.readLine()?.trim() ?: "Unknown CPU"
+        } catch (e: Exception) {
+            "Error detecting CPU"
+        }
+    }
+
+    fun getMacCpuName(): String {
+        return try {
+            val process = Runtime.getRuntime().exec("sysctl -n machdep.cpu.brand_string")
+            process.inputStream.bufferedReader().readLine()?.trim() ?: "Unknown Apple Silicon"
+        } catch (e: Exception) {
+            "Error detecting CPU"
+        }
+    }
+    fun getCpuName(): String {
+        val os = System.getProperty("os.name").lowercase()
+        return if (os.contains("win")) getWindowsCpuName() else getMacCpuName()
+    }
 }