로직 안정화 회귀 보강: compact/vLLM 경로 테스트 강화

- ContextCondenserTests 추가: proactive 비활성 무변경, 대용량 tool_result 축약 검증

- LlmRuntimeOverrideTests 보강: vLLM API키 복호화/SSL 우회 합성 규칙 검증

- README, DEVELOPMENT, NEXT_ROADMAP 문서 이력(2026-04-04 14:47 KST) 동기화

src/AxCopilot.Tests/Services/ContextCondenserTests.cs

@@ -1,5 +1,5 @@
-using System.Reflection;
 using AxCopilot.Models;
+using AxCopilot.Services;
 using AxCopilot.Services.Agent;
 using FluentAssertions;
 using Xunit;
@@ -9,87 +9,71 @@ namespace AxCopilot.Tests.Services;
 public class ContextCondenserTests
 {
     [Fact]
-    public void TruncateToolResults_PreservesMessageMetadataOnCompression()
+    public async Task CondenseIfNeededAsync_WhenProactiveDisabled_ShouldNotChangeMessages()
     {
-        var messages = new List<ChatMessage>
-        {
-            new()
-            {
-                Role = "assistant",
-                Content = "{\"type\":\"tool_result\",\"output\":\"" + new string('a', 4200) + "\"}",
-                Timestamp = new DateTime(2026, 4, 3, 1, 0, 0),
-                MetaKind = "tool_result",
-                MetaRunId = "run-1",
-                Feedback = "like",
-                AttachedFiles = [@"E:\sample\a.txt"],
-                Images =
-                [
-                    new ImageAttachment
-                    {
-                        FileName = "image.png",
-                        MimeType = "image/png",
-                        Base64 = "AAA"
-                    }
-                ]
-            },
-            new() { Role = "user", Content = "recent-1" },
-            new() { Role = "assistant", Content = "recent-2" },
-            new() { Role = "user", Content = "recent-3" },
-            new() { Role = "assistant", Content = "recent-4" },
-            new() { Role = "user", Content = "recent-5" },
-            new() { Role = "assistant", Content = "recent-6" },
-        };
+        var settings = new SettingsService();
+        settings.Settings.Llm.Service = "ollama";
+        settings.Settings.Llm.Model = "test-model";
 
-        var changed = InvokePrivateStatic<bool>("TruncateToolResults", messages);
+        using var llm = new LlmService(settings);
+        var messages = BuildLargeConversation();
+        var before = messages.Select(m => m.Content).ToList();
 
-        changed.Should().BeTrue();
-        messages[0].MetaKind.Should().Be("tool_result");
-        messages[0].MetaRunId.Should().Be("run-1");
-        messages[0].Feedback.Should().Be("like");
-        messages[0].AttachedFiles.Should().ContainSingle().Which.Should().Be(@"E:\sample\a.txt");
-        messages[0].Images.Should().ContainSingle();
-        messages[0].Images![0].FileName.Should().Be("image.png");
-        messages[0].Content.Length.Should().BeLessThan(4200);
+        var changed = await ContextCondenser.CondenseIfNeededAsync(
+            messages,
+            llm,
+            maxOutputTokens: 2_000,
+            proactiveEnabled: false,
+            triggerPercent: 80,
+            force: false,
+            CancellationToken.None);
+
+        changed.Should().BeFalse();
+        messages.Select(m => m.Content).Should().Equal(before);
     }
 
     [Fact]
-    public void TruncateToolResults_PreservesMetadataForLongAssistantMessage()
+    public async Task CondenseIfNeededAsync_ShouldTruncateLargeToolResult_WithoutSummarizeCall()
     {
-        var messages = new List<ChatMessage>
-        {
-            new()
-            {
-                Role = "assistant",
-                Content = new string('b', 5000),
-                Timestamp = new DateTime(2026, 4, 3, 1, 5, 0),
-                MetaKind = "analysis",
-                MetaRunId = "run-2",
-                AttachedFiles = [@"E:\sample\b.txt"],
-            },
-            new() { Role = "user", Content = "recent-1" },
-            new() { Role = "assistant", Content = "recent-2" },
-            new() { Role = "user", Content = "recent-3" },
-            new() { Role = "assistant", Content = "recent-4" },
-            new() { Role = "user", Content = "recent-5" },
-            new() { Role = "assistant", Content = "recent-6" },
-        };
+        var settings = new SettingsService();
+        settings.Settings.Llm.Service = "ollama";
+        settings.Settings.Llm.Model = "test-model";
 
-        var changed = InvokePrivateStatic<bool>("TruncateToolResults", messages);
+        using var llm = new LlmService(settings);
+        var messages = BuildLargeConversation();
+
+        var changed = await ContextCondenser.CondenseIfNeededAsync(
+            messages,
+            llm,
+            maxOutputTokens: 2_000,
+            proactiveEnabled: true,
+            triggerPercent: 80,
+            force: false,
+            CancellationToken.None);
 
         changed.Should().BeTrue();
-        messages[0].MetaKind.Should().Be("analysis");
-        messages[0].MetaRunId.Should().Be("run-2");
-        messages[0].AttachedFiles.Should().ContainSingle().Which.Should().Be(@"E:\sample\b.txt");
-        messages[0].Content.Length.Should().BeLessThan(5000);
+        messages.Any(m => (m.Content ?? "").Contains("[축약됨", StringComparison.Ordinal)).Should().BeTrue();
     }
 
-    private static T InvokePrivateStatic<T>(string methodName, params object?[] arguments)
+    private static List<ChatMessage> BuildLargeConversation()
     {
-        var method = typeof(ContextCondenser).GetMethod(methodName, BindingFlags.NonPublic | BindingFlags.Static);
-        method.Should().NotBeNull();
+        var largeOutput = new string('A', 9_000);
+        var toolJson = "{\"type\":\"tool_result\",\"output\":\"" + largeOutput + "\",\"success\":true}";
 
-        var result = method!.Invoke(null, arguments);
-        result.Should().NotBeNull();
-        return (T)result!;
+        return
+        [
+            new ChatMessage { Role = "system", Content = "system prompt" },
+            new ChatMessage { Role = "user", Content = "첫 질문" },
+            new ChatMessage { Role = "assistant", Content = toolJson }, // 오래된 구간에 배치
+            new ChatMessage { Role = "assistant", Content = "첫 답변" },
+            new ChatMessage { Role = "user", Content = "둘째 질문" },
+            new ChatMessage { Role = "assistant", Content = "둘째 답변" },
+            new ChatMessage { Role = "user", Content = "셋째 질문" },
+            new ChatMessage { Role = "assistant", Content = "셋째 답변" },
+            new ChatMessage { Role = "user", Content = "넷째 질문" },
+            new ChatMessage { Role = "assistant", Content = "넷째 답변" },
+            new ChatMessage { Role = "user", Content = "다섯째 질문" },
+            new ChatMessage { Role = "assistant", Content = "다섯째 답변" },
+        ];
     }
 }