compact 후속 루프 추적과 로그 축약 보강

- claw-code post-autocompact turn tracking 흐름을 참고해 AX AgentLoop가 compact 직후 첫 턴을 별도 상태로 추적하도록 보강함

- compact 이후 첫 턴에서는 LLM 요청 중·프롬프트 제출·무료 티어 대기 같은 boilerplate Thinking 로그를 억제하고 compact pill 중심으로 보이도록 정리함

- 개발자용 전체 통계에 compact 로그 축약 건수를 포함하고 README.md, docs/DEVELOPMENT.md에 2026-04-05 00:17 (KST) 기준 이력을 반영함

- 검증: dotnet build src/AxCopilot/AxCopilot.csproj -c Release -v minimal -p:OutputPath=bin\\verify\\ -p:IntermediateOutputPath=obj\\verify\\ / 경고 0 / 오류 0

README.md

@@ -8,6 +8,11 @@ Windows 전용 시맨틱 런처 & 워크스페이스 매니저
 `docs/claw-code-parity-plan.md`
 
 
+- 업데이트: 2026-04-05 00:17 (KST)
+- AX Agent 루프도 `claw-code`의 post-autocompact turn tracking 흐름을 참고해 compact 직후 턴을 별도 상태로 추적하도록 보강했습니다. 이제 compact 직후 첫 턴은 저노이즈 compact pill 중심으로 보이고, 불필요한 `LLM 요청 중`류 Thinking 로그는 자동으로 줄입니다.
+- 개발자용 전체 통계에는 compact 직후 자동 축약된 Thinking 로그 건수도 함께 표시해, compact 이후 루프가 실제로 얼마나 조용해졌는지 바로 확인할 수 있게 했습니다.
+- 검증: `dotnet build src/AxCopilot/AxCopilot.csproj -c Release -v minimal -p:OutputPath=bin\\verify\\ -p:IntermediateOutputPath=obj\\verify\\` 경고 0 / 오류 0
+
 - 업데이트: 2026-04-04 23:47 (KST)
 - AX Agent 컨텍스트 압축 경로에 `session memory compact`, `microcompact`, `collapse/snip` 단계를 추가해 오래된 요약·실행 로그·도구 결과를 LLM 요약 전에 더 세밀하게 줄이도록 보강했습니다.
 - 현재 대화 기준 compact 누적 회수, 자동/수동 비중, 절감 토큰, session memory 적용 횟수, microcompact/snipped 메시지 수를 하단 컨텍스트 카드 hover에서 함께 확인할 수 있게 했습니다.

src/AxCopilot/Services/Agent/AgentLoopService.cs

@@ -51,6 +51,11 @@ public partial class AgentLoopService
     /// <summary>문서 생성 폴백 재시도 여부 (루프당 1회만).</summary>
     private bool _docFallbackAttempted;
     private string _currentRunId = "";
+    private bool _runPendingPostCompactionTurn;
+    private int _runPostCompactionTurnCounter;
+    private int _runPostCompactionSuppressedThinkingCount;
+    private string _runLastCompactionStageSummary = "";
+    private int _runLastCompactionSavedTokens;
 
     /// <summary>일시정지 제어용 세마포어. 1이면 진행, 0이면 대기.</summary>
     private readonly SemaphoreSlim _pauseSemaphore = new(1, 1);
@@ -437,7 +442,7 @@ public partial class AgentLoopService
                 // Context Condenser: 토큰 초과 시 이전 대화 자동 압축
                 // 첫 반복에서도 실행 (이전 대화 복원으로 이미 긴 경우 대비)
                 {
-                    var condensed = await ContextCondenser.CondenseIfNeededAsync(
+                    var compactionResult = await ContextCondenser.CondenseWithStatsAsync(
                         messages,
                         _llm,
                         llm.MaxContextTokens,
@@ -445,8 +450,17 @@ public partial class AgentLoopService
                         llm.ContextCompactTriggerPercent,
                         false,
                         ct);
-                    if (condensed)
-                        EmitEvent(AgentEventType.Thinking, "", "컨텍스트 압축 완료 — 입력 토큰을 절감했습니다");
+                    if (compactionResult.Changed)
+                    {
+                        MarkRunPostCompaction(compactionResult, runState);
+                        var compactSummary = !string.IsNullOrWhiteSpace(compactionResult.StageSummary)
+                            ? compactionResult.StageSummary
+                            : "기본";
+                        EmitEvent(
+                            AgentEventType.Thinking,
+                            "",
+                            $"컨텍스트 압축 완료 — {compactSummary} · {Services.TokenEstimator.Format(compactionResult.SavedTokens)} tokens 절감");
+                    }
                 }
 
                 EmitEvent(AgentEventType.Thinking, "", $"LLM에 요청 중... (반복 {iteration}/{maxIterations})");
@@ -497,6 +511,7 @@ public partial class AgentLoopService
                         runState);
                     runState.ContextRecoveryAttempts = 0;
                     runState.TransientLlmErrorRetries = 0;
+                    NotifyPostCompactionTurnIfNeeded(runState);
                 }
                 catch (NotSupportedException)
                 {
@@ -1439,6 +1454,11 @@ public partial class AgentLoopService
 
             IsRunning = false;
             _currentRunId = "";
+            _runPendingPostCompactionTurn = false;
+            _runPostCompactionTurnCounter = 0;
+            _runPostCompactionSuppressedThinkingCount = 0;
+            _runLastCompactionStageSummary = "";
+            _runLastCompactionSavedTokens = 0;
 
             // 일시정지 상태 리셋
             if (IsPaused)
@@ -1480,10 +1500,13 @@ public partial class AgentLoopService
                     var retryQuality = retryTotal > 0
                         ? $"{(statsRecoveredAfterFailure * 100.0 / retryTotal):F0}%"
                         : "100%";
+                    var compactNoiseSummary = _runPostCompactionSuppressedThinkingCount > 0
+                        ? $" | compact 로그 축약 {_runPostCompactionSuppressedThinkingCount}건"
+                        : "";
                     var topFailed = BuildTopFailureSummary(failedToolHistogram);
                     var summary = $"📊 전체 통계: LLM {iteration}회 호출 | 도구 {totalToolCalls}회 (성공 {statsSuccessCount}, 실패 {statsFailCount}) | " +
                                   $"토큰 {statsInputTokens:N0}→{statsOutputTokens:N0} (합계 {totalTokens:N0}) | " +
-                                  $"소요 {durationSec:F1}초 | 재시도 품질 {retryQuality} (복구 {statsRecoveredAfterFailure}, 차단 {statsRepeatedFailureBlocks}) | " +
+                                  $"소요 {durationSec:F1}초 | 재시도 품질 {retryQuality} (복구 {statsRecoveredAfterFailure}, 차단 {statsRepeatedFailureBlocks}){compactNoiseSummary} | " +
                                   $"실패 상위: {topFailed} | 사용 도구: {toolList}";
                     EmitEvent(AgentEventType.StepDone, "total_stats", summary);
                 }
@@ -4339,6 +4362,12 @@ public partial class AgentLoopService
         long elapsedMs = 0, int inputTokens = 0, int outputTokens = 0,
         string? toolInput = null, int iteration = 0, bool? successOverride = null)
     {
+        if (type == AgentEventType.Thinking && ShouldSuppressPostCompactionThinking(summary))
+        {
+            _runPostCompactionSuppressedThinkingCount++;
+            return;
+        }
+
         // AgentLogLevel에 따라 이벤트 필터링
         var logLevel = _settings.Settings.Llm.AgentLogLevel;
 
@@ -4381,6 +4410,62 @@ public partial class AgentLoopService
         }
     }
 
+    private void MarkRunPostCompaction(ContextCompactionResult result, RunState runState)
+    {
+        runState.PendingPostCompactionTurn = true;
+        runState.PostCompactionTurnCounter = 0;
+        runState.LastCompactionStageSummary = result.StageSummary;
+        runState.LastCompactionSavedTokens = result.SavedTokens;
+        SyncRunPostCompactionState(runState);
+    }
+
+    private void NotifyPostCompactionTurnIfNeeded(RunState runState)
+    {
+        if (!runState.PendingPostCompactionTurn)
+            return;
+
+        runState.PendingPostCompactionTurn = false;
+        runState.PostCompactionTurnCounter++;
+        SyncRunPostCompactionState(runState);
+
+        var stage = string.IsNullOrWhiteSpace(runState.LastCompactionStageSummary)
+            ? "기본"
+            : runState.LastCompactionStageSummary;
+        var saved = runState.LastCompactionSavedTokens > 0
+            ? $" · {Services.TokenEstimator.Format(runState.LastCompactionSavedTokens)} tokens 절감"
+            : "";
+        EmitEvent(
+            AgentEventType.Thinking,
+            "",
+            $"compact 이후 {runState.PostCompactionTurnCounter}번째 턴 · {stage}{saved}");
+    }
+
+    private void SyncRunPostCompactionState(RunState runState)
+    {
+        _runPendingPostCompactionTurn = runState.PendingPostCompactionTurn;
+        _runPostCompactionTurnCounter = runState.PostCompactionTurnCounter;
+        _runLastCompactionStageSummary = runState.LastCompactionStageSummary ?? "";
+        _runLastCompactionSavedTokens = runState.LastCompactionSavedTokens;
+    }
+
+    private bool ShouldSuppressPostCompactionThinking(string summary)
+    {
+        if (string.IsNullOrWhiteSpace(summary))
+            return false;
+
+        var postCompactActive = _runPendingPostCompactionTurn || _runPostCompactionTurnCounter > 0;
+        if (!postCompactActive)
+            return false;
+
+        if (_runPostCompactionTurnCounter > 1)
+            return false;
+
+        return summary.StartsWith("LLM에 요청 중", StringComparison.Ordinal)
+               || summary.StartsWith("사용자 프롬프트 제출", StringComparison.Ordinal)
+               || summary.StartsWith("무료 티어 모드", StringComparison.Ordinal)
+               || summary.StartsWith("컨텍스트 압축 완료", StringComparison.Ordinal);
+    }
+
     /// <summary>영향 범위 기반 의사결정 체크. 확인이 필요하면 메시지를 반환, 불필요하면 null.</summary>
     private string? CheckDecisionRequired(LlmService.ContentBlock call, AgentContext context)
     {

src/AxCopilot/Services/Agent/AgentLoopTransitions.Execution.cs

@@ -1507,6 +1507,10 @@ public partial class AgentLoopService
         public int DocumentVerificationGateRetry;
         public int NoProgressRecoveryRetry;
         public int TerminalEvidenceGateRetry;
+        public bool PendingPostCompactionTurn;
+        public int PostCompactionTurnCounter;
+        public string LastCompactionStageSummary = "";
+        public int LastCompactionSavedTokens;
     }
 }