Files
AX-Copilot-Codex/src/AxCopilot/Services/Agent/ContextCondenser.cs
lacvet e07b6dbed0 코드 탭 컨텍스트 영속화와 Auto budget 복구 적용
- AxAgentExecutionEngine에서 시스템 프롬프트 중복을 제거하고 structured tool_use/tool_result 전사본을 conversation.Messages로 동기화해 다음 턴과 저장 이력에서도 코드 작업 컨텍스트가 유지되도록 수정
- AgentQueryContextBuilder와 ContextCondenser에 post-compact tool snippet 복원, recent window 확대, tool result 보존 강화 로직을 추가해 장기 코드 실행 중 빌드/파일 근거 손실을 줄임
- MaxContextTokens=0 Auto 모드를 AppSettings, SettingsService 마이그레이션, 설정 UI, 오버레이 UI, 컨텍스트 사용량 표시, LLM 요청 본문에 연결하고 Auto 모드에서는 provider output cap 강제 주입을 제거
- 관련 회귀 테스트와 문서 README/DEVELOPMENT/CODE_CONTEXT_RELIABILITY_PLAN을 갱신하고 깨진 진단 문자열 기대값을 영어 기준으로 정리

검증:
- dotnet build src/AxCopilot/AxCopilot.csproj -c Release -v minimal -p:OutputPath=bin\\verify_context_reliability_followup\\ -p:IntermediateOutputPath=obj\\verify_context_reliability_followup\\
- dotnet test src/AxCopilot.Tests/AxCopilot.Tests.csproj -c Release -v minimal --filter "AxAgentExecutionEngineTests|AgentQueryContextBuilderTests|ContextCondenserTests|SettingsServiceTests|AgentLoopDiagnosticsFormatterTests" -p:OutputPath=bin\\verify_context_reliability_followup_tests\\ -p:IntermediateOutputPath=obj\\verify_context_reliability_followup_tests\\
- dotnet test src/AxCopilot.Tests/AxCopilot.Tests.csproj -c Release -v minimal --filter "AgentLoopQueryAssemblyServiceTests|AgentLoopPreLlmStageServiceTests|AgentLoopLlmRequestPreparationServiceTests|AgentMessageInvariantHelperTests|CodeTaskWorkingSetServiceTests|AgentLoopE2ETests" -p:OutputPath=bin\\verify_context_reliability_followup_tests2\\ -p:IntermediateOutputPath=obj\\verify_context_reliability_followup_tests2\\
- dotnet build src/AxCopilot/AxCopilot.csproj -c Release -v minimal -p:OutputPath=bin\\verify_context_reliability_final\\ -p:IntermediateOutputPath=obj\\verify_context_reliability_final\\
2026-04-16 07:45:36 +09:00

863 lines
35 KiB
C#

using AxCopilot.Models;
namespace AxCopilot.Services.Agent;
public sealed class ContextCompactionResult
{
public bool Changed { get; set; }
public int BeforeTokens { get; set; }
public int AfterTokens { get; set; }
public bool SessionMemoryApplied { get; set; }
public int SessionMemoryMergedMessages { get; set; }
public int MicrocompactBoundaryCount { get; set; }
public int MicrocompactSingleCount { get; set; }
public int SnippedMessageCount { get; set; }
public int CollapsedBoundaryCount { get; set; }
public List<string> AppliedStages { get; } = new();
public int SavedTokens => Math.Max(0, BeforeTokens - AfterTokens);
public string StageSummary => AppliedStages.Count == 0 ? "없음" : string.Join(" -> ", AppliedStages);
}
/// <summary>
/// 컨텍스트 윈도우 관리: 대화가 길어지면 이전 메시지를 요약하여 압축합니다.
/// MemGPT/OpenHands의 LLMSummarizingCondenser 패턴을 경량 구현.
///
/// 5단계 압축 전략:
/// 1단계 — 도구 결과 자르기: 대용량 tool_result 출력을 핵심만 남기고 축약 (LLM 호출 없음)
/// 2단계 — session memory compact: 이전 경계/요약을 하나의 세션 메모로 통합
/// 3단계 — microcompact: 오래된 실행 로그/도구 묶음을 경계 요약으로 치환 (LLM 호출 없음)
/// 4단계 — collapse/snip: 긴 로그/도구 결과를 더 짧은 경계/앞뒤 일부로 절단
/// 5단계 — 이전 대화 요약: 오래된 메시지를 LLM으로 요약하여 교체 (LLM 1회 호출)
/// </summary>
public static class ContextCondenser
{
/// <summary>도구 결과 1개당 최대 유지 길이 (자)</summary>
private const int MaxToolResultChars = 1500;
private const int MicrocompactSingleKeepChars = 480;
private const int MicrocompactGroupMinCount = 4;
private const int SnipKeepHeadChars = 220;
private const int SnipKeepTailChars = 140;
private const int ToolResultTruncationKeepCount = 6;
/// <summary>요약 시 유지할 최근 메시지 수</summary>
private const int RecentKeepCount = 12;
private const int AutoCompactBufferTokens = 13_000;
private const int SummaryReserveTokens = 20_000;
private const string TimeBasedClearedToolResultMessage = "[time-based microcompact] 이전 tool_result 내용이 정리되었습니다.";
private readonly record struct TimeBasedToolResultCompactionConfig(bool Enabled, int GapThresholdMinutes, int KeepRecentToolResults);
private sealed class CompactionWindow
{
public ChatMessage? SystemMessage { get; init; }
public required List<ChatMessage> OldMessages { get; init; }
public required List<ChatMessage> RecentMessages { get; init; }
public int PreservedToolPairs { get; init; }
}
private sealed class CompactionAttachmentSummary
{
public required List<string> AttachedFiles { get; init; }
public int ImageCount { get; init; }
}
/// <summary>모델별 입력 토큰 한도 (대략).</summary>
private static int GetModelInputLimit(string service, string model)
{
var key = $"{service}:{model}".ToLowerInvariant();
return key switch
{
_ when key.Contains(string.Concat("cl", "aude")) => 180_000, // Claude 계열 200K
_ when key.Contains("gemini-2.5") => 900_000, // Gemini 1M
_ when key.Contains("gemini-2.0") => 900_000,
_ when key.Contains("gemini") => 900_000,
_ when key.Contains("gpt-4") => 120_000, // GPT-4 128K
_ when key.Contains("deepseek") => 128_000, // DeepSeek-V3/R1 128K
_ when key.Contains("qwen") => 32_000, // Qwen 계열 32K
_ when key.Contains("llama") => 32_000, // LLaMA 계열 32K
_ => 32_000, // vLLM/Ollama 알 수 없는 모델 기본값 (보수적으로 32K)
};
}
public static int ResolveContextBudgetTokens(string service, string model, int configuredLimit)
{
if (configuredLimit > 0)
return Math.Clamp(configuredLimit, 1_024, 1_000_000);
return GetModelInputLimit(service, model);
}
public static int GetEffectiveContextWindowSize(string service, string model, int configuredLimit)
{
var contextWindow = ResolveContextBudgetTokens(service, model, configuredLimit);
var reservedForSummary = Math.Min(SummaryReserveTokens, Math.Max(4_000, contextWindow / 8));
return Math.Max(8_000, contextWindow - reservedForSummary);
}
/// <summary>
/// 메시지 목록의 토큰이 모델 한도에 근접하면 자동 압축합니다.
/// 1단계: 도구 결과 축약 (빠르고 LLM 호출 없음)
/// 2단계: microcompact 경량 압축 (토큰이 여전히 높으면)
/// 3단계: 이전 대화 LLM 요약 (토큰이 여전히 높으면)
/// </summary>
public static async Task<bool> CondenseIfNeededAsync(
List<ChatMessage> messages,
ILlmService llm,
int maxOutputTokens,
bool proactiveEnabled = true,
int triggerPercent = 80,
bool force = false,
CancellationToken ct = default)
{
var result = await CondenseWithStatsAsync(messages, llm, maxOutputTokens, proactiveEnabled, triggerPercent, force, ct);
return result.Changed;
}
public static async Task<ContextCompactionResult> CondenseWithStatsAsync(
List<ChatMessage> messages,
ILlmService llm,
int maxOutputTokens,
bool proactiveEnabled = true,
int triggerPercent = 80,
bool force = false,
CancellationToken ct = default)
{
var result = new ContextCompactionResult();
if (messages.Count < 6) return result;
if (!force && !proactiveEnabled) return result;
AgentMessageInvariantHelper.PopulateMissingToolResultPreviews(messages);
// 현재 모델의 입력 토큰 한도
var settings = llm.GetCurrentModelInfo();
// 사용자가 설정한 컨텍스트 크기를 우선 사용. 미설정 시 모델별 기본값 적용.
var effectiveWindow = GetEffectiveContextWindowSize(settings.service, settings.model, maxOutputTokens);
var percent = Math.Clamp(triggerPercent, 50, 95);
var percentThreshold = (int)(effectiveWindow * (percent / 100.0));
var bufferedThreshold = Math.Max(4_000, effectiveWindow - AutoCompactBufferTokens);
var threshold = Math.Min(percentThreshold, bufferedThreshold);
var currentTokens = TokenEstimator.EstimateMessages(messages);
result.BeforeTokens = currentTokens;
var timeBasedConfig = GetTimeBasedToolResultCompactionConfig(settings.service, settings.model);
if (ApplyTimeBasedToolResultCompaction(messages, timeBasedConfig, out var clearedToolResults))
{
result.AppliedStages.Add($"time-gap-tool-result({clearedToolResults})");
currentTokens = TokenEstimator.EstimateMessages(messages);
}
if (!force && currentTokens < threshold)
{
result.Changed = result.AppliedStages.Count > 0;
result.AfterTokens = currentTokens;
return result;
}
var originalTokens = currentTokens;
bool didCompress = false;
// ── 1단계: 도구 결과 축약 (LLM 호출 없음, 즉시 실행) ──
if (TruncateToolResults(messages))
{
didCompress = true;
result.AppliedStages.Add("tool-result");
}
// 1단계 후 다시 추정
currentTokens = TokenEstimator.EstimateMessages(messages);
if (!force && currentTokens < threshold)
{
result.Changed = didCompress;
result.AfterTokens = currentTokens;
return result;
}
// ── 2단계: 이전 경계/요약을 세션 메모로 통합 ──
var sessionMemoryMergedMessages = SessionMemoryCompactOlderMessages(messages);
if (sessionMemoryMergedMessages > 0)
{
didCompress = true;
result.SessionMemoryApplied = true;
result.SessionMemoryMergedMessages = sessionMemoryMergedMessages;
result.AppliedStages.Add("session-memory");
}
currentTokens = TokenEstimator.EstimateMessages(messages);
if (!force && currentTokens < threshold)
{
result.Changed = didCompress;
result.AfterTokens = currentTokens;
return result;
}
// ── 3단계: 오래된 실행/도구 묶음 경량 압축 ──
var (boundaryCount, singleCount) = MicrocompactOlderMessages(messages);
if (boundaryCount > 0 || singleCount > 0)
{
didCompress = true;
result.MicrocompactBoundaryCount = boundaryCount;
result.MicrocompactSingleCount = singleCount;
result.AppliedStages.Add("microcompact");
}
currentTokens = TokenEstimator.EstimateMessages(messages);
if (!force && currentTokens < threshold)
{
result.Changed = didCompress;
result.AfterTokens = currentTokens;
return result;
}
// ── 4단계: collapse/snip ──
var (snippedCount, collapsedCount) = CollapseAndSnipOlderMessages(messages);
if (snippedCount > 0 || collapsedCount > 0)
{
didCompress = true;
result.SnippedMessageCount = snippedCount;
result.CollapsedBoundaryCount = collapsedCount;
result.AppliedStages.Add("snip");
}
currentTokens = TokenEstimator.EstimateMessages(messages);
if (!force && currentTokens < threshold)
{
result.Changed = didCompress;
result.AfterTokens = currentTokens;
return result;
}
// ── 5단계: 이전 대화 LLM 요약 ──
if (await SummarizeOldMessagesAsync(messages, llm, ct))
{
didCompress = true;
result.AppliedStages.Add("summary");
}
if (didCompress)
{
var afterTokens = TokenEstimator.EstimateMessages(messages);
LogService.Info($"Context Condenser: {originalTokens} → {afterTokens} 토큰 (절감 {originalTokens - afterTokens})");
result.Changed = true;
result.AfterTokens = afterTokens;
}
else
{
result.AfterTokens = currentTokens;
}
return result;
}
private static CompactionWindow SplitCompactionWindow(List<ChatMessage> messages, int extraTrailingProtection)
{
var systemMsg = messages.FirstOrDefault(m => m.Role == "system");
var nonSystemMessages = messages.Where(m => m.Role != "system").ToList();
var trailingCount = Math.Min(RecentKeepCount + Math.Max(0, extraTrailingProtection), nonSystemMessages.Count);
var splitStart = Math.Max(0, nonSystemMessages.Count - trailingCount);
var adjustedStart = AgentMessageInvariantHelper.AdjustStartIndexForToolPairs(
nonSystemMessages,
splitStart,
out var preservedToolPairs);
return new CompactionWindow
{
SystemMessage = systemMsg,
OldMessages = nonSystemMessages.Take(adjustedStart).ToList(),
RecentMessages = nonSystemMessages.Skip(adjustedStart).ToList(),
PreservedToolPairs = preservedToolPairs,
};
}
private static TimeBasedToolResultCompactionConfig GetTimeBasedToolResultCompactionConfig(string service, string model)
{
var key = $"{service}:{model}".ToLowerInvariant();
return key switch
{
_ when key.Contains(string.Concat("cl", "aude")) => new TimeBasedToolResultCompactionConfig(true, 60, 5),
_ when key.Contains("gemini") => new TimeBasedToolResultCompactionConfig(true, 45, 3),
_ when key.Contains("gpt-4") => new TimeBasedToolResultCompactionConfig(true, 45, 3),
_ when key.Contains("deepseek") => new TimeBasedToolResultCompactionConfig(true, 30, 2),
_ when key.Contains("qwen") => new TimeBasedToolResultCompactionConfig(true, 20, 1),
_ when key.Contains("llama") => new TimeBasedToolResultCompactionConfig(true, 20, 1),
_ when key.Contains("vllm") => new TimeBasedToolResultCompactionConfig(true, 20, 1),
_ => new TimeBasedToolResultCompactionConfig(true, 30, 2),
};
}
private static bool ApplyTimeBasedToolResultCompaction(
List<ChatMessage> messages,
TimeBasedToolResultCompactionConfig config,
out int clearedCount)
{
clearedCount = 0;
if (!config.Enabled)
return false;
var lastAssistant = messages
.Where(m => string.Equals(m.Role, "assistant", StringComparison.OrdinalIgnoreCase))
.OrderByDescending(m => m.Timestamp)
.FirstOrDefault();
if (lastAssistant?.Timestamp is not DateTime lastAssistantAt)
return false;
var gapMinutes = (DateTime.Now - lastAssistantAt).TotalMinutes;
if (!double.IsFinite(gapMinutes) || gapMinutes < config.GapThresholdMinutes)
return false;
var candidateIndexes = messages
.Select((message, index) => new { message, index })
.Where(x => AgentMessageInvariantHelper.TryGetToolResultId(x.message, out _))
.Select(x => x.index)
.ToList();
if (candidateIndexes.Count <= config.KeepRecentToolResults)
return false;
var keepSet = candidateIndexes
.TakeLast(Math.Max(1, config.KeepRecentToolResults))
.ToHashSet();
foreach (var index in candidateIndexes)
{
if (keepSet.Contains(index))
continue;
var message = messages[index];
var content = message.Content ?? "";
if (string.IsNullOrWhiteSpace(content))
continue;
var cleared = AgentToolResultBudget.CreateClearedToolResultJson(content, TimeBasedClearedToolResultMessage);
if (string.Equals(cleared, content, StringComparison.Ordinal))
continue;
messages[index] = CloneWithContent(message, cleared);
clearedCount++;
}
return clearedCount > 0;
}
/// <summary>
/// 1단계: 오래된 tool_result는 aggregate budget 기준으로 먼저 줄이고,
/// 그 외 긴 assistant/user 메시지는 경량 절단합니다.
/// </summary>
private static bool TruncateToolResults(List<ChatMessage> messages)
{
var budgetResult = AgentToolResultBudget.Apply(messages, ToolResultTruncationKeepCount);
bool truncated = budgetResult.TruncatedCount > 0;
var cutoff = Math.Max(0, messages.Count - ToolResultTruncationKeepCount);
for (int i = 0; i < cutoff; i++)
{
var msg = messages[i];
if (msg.Content == null) continue;
if (AgentMessageInvariantHelper.TryGetToolResultId(msg, out _))
{
continue;
}
if (msg.Role == "assistant" && msg.Content.Length > MaxToolResultChars * 2 &&
msg.Content.StartsWith("{\"_tool_use_blocks\""))
{
if (msg.Content.Length > MaxToolResultChars * 3)
{
messages[i] = CloneWithContent(msg, msg.Content[..(MaxToolResultChars * 2)] + "...[축약됨]\"]}");
truncated = true;
}
}
else if (msg.Content.Length > MaxToolResultChars * 3 && msg.Role != "system")
{
messages[i] = CloneWithContent(
msg,
msg.Content[..MaxToolResultChars] + "\n\n...[이전 내용 축약됨 — 원본 " +
$"{msg.Content.Length:N0}자 중 {MaxToolResultChars:N0}자 유지]");
truncated = true;
}
}
return truncated;
}
private static ChatMessage CloneWithContent(ChatMessage source, string content)
{
return new ChatMessage
{
Role = source.Role,
Content = content,
Timestamp = source.Timestamp,
MetaKind = source.MetaKind,
MetaRunId = source.MetaRunId,
Feedback = source.Feedback,
AttachedFiles = source.AttachedFiles?.ToList(),
Images = source.Images?.Select(x => new ImageAttachment
{
Base64 = x.Base64,
MimeType = x.MimeType,
FileName = x.FileName,
}).ToList(),
};
}
/// <summary>
/// 오래된 실행 로그/도구 결과/비정상적으로 긴 메시지를 먼저 경량 경계 요약으로 묶습니다.
/// LLM 호출 전에 토큰을 한 번 더 줄이는 마이크로 압축 단계입니다.
/// </summary>
private static (int BoundaryCount, int SingleCount) MicrocompactOlderMessages(List<ChatMessage> messages)
{
var window = SplitCompactionWindow(messages, extraTrailingProtection: 2);
if (window.OldMessages.Count == 0 || window.RecentMessages.Count <= RecentKeepCount) return (0, 0);
var oldMessages = window.OldMessages;
var recentMessages = window.RecentMessages;
var rewritten = new List<ChatMessage>(oldMessages.Count);
bool changed = false;
int boundaryCount = 0;
int singleCount = 0;
for (int i = 0; i < oldMessages.Count;)
{
if (IsMicrocompactCandidate(oldMessages[i]))
{
var group = new List<ChatMessage>();
int j = i;
while (j < oldMessages.Count && IsMicrocompactCandidate(oldMessages[j]))
{
group.Add(oldMessages[j]);
j++;
}
var totalChars = group.Sum(m => m.Content?.Length ?? 0);
if (group.Count >= MicrocompactGroupMinCount || totalChars > MaxToolResultChars * 2)
{
rewritten.Add(BuildMicrocompactBoundary(group));
changed = true;
boundaryCount++;
}
else
{
var singleChanged = TryMicrocompactSingle(group[0], out var compacted);
rewritten.Add(singleChanged ? compacted : group[0]);
changed |= singleChanged;
if (singleChanged) singleCount++;
}
i = j;
continue;
}
if (TryMicrocompactSingle(oldMessages[i], out var singleCompacted))
{
rewritten.Add(singleCompacted);
changed = true;
singleCount++;
}
else
{
rewritten.Add(oldMessages[i]);
}
i++;
}
if (!changed) return (0, 0);
messages.Clear();
if (window.SystemMessage != null) messages.Add(window.SystemMessage);
messages.AddRange(rewritten);
messages.AddRange(recentMessages);
return (boundaryCount, singleCount);
}
private static int SessionMemoryCompactOlderMessages(List<ChatMessage> messages)
{
var window = SplitCompactionWindow(messages, extraTrailingProtection: 3);
if (window.OldMessages.Count == 0 || window.RecentMessages.Count <= RecentKeepCount) return 0;
var oldMessages = window.OldMessages;
var recentMessages = window.RecentMessages;
var candidates = oldMessages
.Select((message, index) => new { message, index })
.Where(x => IsSessionMemoryCandidate(x.message))
.ToList();
if (candidates.Count < 2) return 0;
var attachedFiles = candidates
.SelectMany(x => x.message.AttachedFiles ?? Enumerable.Empty<string>())
.Distinct(StringComparer.OrdinalIgnoreCase)
.Select(path =>
{
try { return System.IO.Path.GetFileName(path); }
catch { return path; }
})
.Where(name => !string.IsNullOrWhiteSpace(name))
.Take(5)
.ToList();
var merged = new ChatMessage
{
Role = "assistant",
Timestamp = candidates.Last().message.Timestamp,
MetaKind = "session_memory_compaction",
MetaRunId = candidates.Last().message.MetaRunId,
AttachedFiles = attachedFiles.Count > 0 ? attachedFiles : null,
Content = string.Join("\n", new[]
{
$"[세션 메모리 압축 - {candidates.Count}개 이전 경계 통합]",
"- 이전 요약, 실행 경계, 오래된 메타 로그를 하나의 세션 메모로 합쳤습니다.",
attachedFiles.Count > 0 ? $"- 관련 파일: {string.Join(", ", attachedFiles)}" : "- 관련 파일: 없음",
})
};
var rewritten = new List<ChatMessage>(oldMessages.Count - candidates.Count + 1);
bool inserted = false;
for (int i = 0; i < oldMessages.Count; i++)
{
if (candidates.Any(x => x.index == i))
{
if (!inserted)
{
rewritten.Add(merged);
inserted = true;
}
continue;
}
rewritten.Add(oldMessages[i]);
}
messages.Clear();
if (window.SystemMessage != null) messages.Add(window.SystemMessage);
messages.AddRange(rewritten);
messages.AddRange(recentMessages);
return candidates.Count;
}
private static bool IsSessionMemoryCandidate(ChatMessage message)
{
var content = message.Content ?? "";
if (string.IsNullOrWhiteSpace(content)) return false;
return string.Equals(message.MetaKind, "microcompact_boundary", StringComparison.OrdinalIgnoreCase)
|| string.Equals(message.MetaKind, "session_memory_compaction", StringComparison.OrdinalIgnoreCase)
|| content.StartsWith("[이전 대화 요약", StringComparison.Ordinal)
|| content.StartsWith("[이전 실행 묶음 압축", StringComparison.Ordinal)
|| content.StartsWith("[이전 도구 결과 축약", StringComparison.Ordinal)
|| content.StartsWith("[이전 도구 호출 묶음 축약", StringComparison.Ordinal)
|| content.StartsWith("[이전 실행 메타 축약", StringComparison.Ordinal);
}
private static (int SnippedCount, int CollapsedCount) CollapseAndSnipOlderMessages(List<ChatMessage> messages)
{
var window = SplitCompactionWindow(messages, extraTrailingProtection: 2);
if (window.OldMessages.Count == 0 || window.RecentMessages.Count <= RecentKeepCount) return (0, 0);
var oldMessages = window.OldMessages;
var recentMessages = window.RecentMessages;
var rewritten = new List<ChatMessage>(oldMessages.Count);
int snippedCount = 0;
int collapsedCount = 0;
for (int i = 0; i < oldMessages.Count;)
{
var current = oldMessages[i];
if (IsBoundaryLike(current))
{
var group = new List<ChatMessage> { current };
int j = i + 1;
while (j < oldMessages.Count && IsBoundaryLike(oldMessages[j]))
{
group.Add(oldMessages[j]);
j++;
}
if (group.Count >= 2)
{
rewritten.Add(new ChatMessage
{
Role = "assistant",
Timestamp = group.Last().Timestamp,
MetaKind = "collapsed_boundary",
MetaRunId = group.Last().MetaRunId,
Content = $"[이전 압축 경계 병합 - {group.Count}개]\n- 이전 compact/snippet 경계를 하나로 합쳤습니다."
});
collapsedCount += group.Count;
i = j;
continue;
}
}
if (TrySnipMessage(current, out var snipped))
{
rewritten.Add(snipped);
snippedCount++;
}
else
{
rewritten.Add(current);
}
i++;
}
if (snippedCount == 0 && collapsedCount == 0) return (0, 0);
messages.Clear();
if (window.SystemMessage != null) messages.Add(window.SystemMessage);
messages.AddRange(rewritten);
messages.AddRange(recentMessages);
return (snippedCount, collapsedCount);
}
private static bool IsBoundaryLike(ChatMessage message)
{
var content = message.Content ?? "";
return string.Equals(message.MetaKind, "microcompact_boundary", StringComparison.OrdinalIgnoreCase)
|| string.Equals(message.MetaKind, "session_memory_compaction", StringComparison.OrdinalIgnoreCase)
|| content.StartsWith("[이전 실행 묶음 압축", StringComparison.Ordinal)
|| content.StartsWith("[세션 메모리 압축", StringComparison.Ordinal)
|| content.StartsWith("[이전 압축 경계 병합", StringComparison.Ordinal);
}
private static bool TrySnipMessage(ChatMessage source, out ChatMessage snipped)
{
snipped = source;
var content = source.Content ?? "";
if (string.IsNullOrWhiteSpace(content)) return false;
if (source.Role == "system") return false;
if (content.Length < 900 && content.Split('\n').Length < 12) return false;
var normalized = content.Replace("\r\n", "\n");
var lines = normalized
.Split('\n')
.Select(line => line.TrimEnd())
.Where(line => !string.IsNullOrWhiteSpace(line))
.ToList();
if (lines.Count >= 6)
{
var headLines = lines.Take(3);
var tailLines = lines.TakeLast(2);
snipped = CloneWithContent(
source,
string.Join("\n", headLines) +
"\n...[snip: 중간 실행 로그/출력 축약]...\n" +
string.Join("\n", tailLines));
return true;
}
var head = normalized[..Math.Min(SnipKeepHeadChars, normalized.Length)];
var tail = normalized.Length > SnipKeepTailChars ? normalized[^SnipKeepTailChars..] : "";
snipped = CloneWithContent(
source,
head + "\n...[snip: 중간 내용 축약]...\n" + tail);
return true;
}
private static bool IsMicrocompactCandidate(ChatMessage message)
{
var content = message.Content ?? "";
if (string.IsNullOrWhiteSpace(content)) return false;
// P3: 세션 학습 메시지는 압축 대상에서 제외 — 매 반복 갱신되므로 항상 보존
if (string.Equals(message.MetaKind, "session_learnings", StringComparison.OrdinalIgnoreCase))
return false;
return message.MetaKind != null
|| content.StartsWith("{\"type\":\"tool_result\"", StringComparison.Ordinal)
|| content.StartsWith("{\"_tool_use_blocks\"", StringComparison.Ordinal)
|| (message.Role != "system" && content.Length > MaxToolResultChars);
}
private static bool TryMicrocompactSingle(ChatMessage source, out ChatMessage compacted)
{
compacted = source;
var content = source.Content ?? "";
if (string.IsNullOrWhiteSpace(content)) return false;
if (source.Role == "system") return false;
if (content.StartsWith("{\"type\":\"tool_result\"", StringComparison.Ordinal))
{
compacted = CloneWithContent(
source,
$"[이전 도구 결과 축약]\n- 상세 출력은 압축되었습니다.\n- 원본 길이: {content.Length:N0}자");
return true;
}
if (content.StartsWith("{\"_tool_use_blocks\"", StringComparison.Ordinal))
{
compacted = CloneWithContent(
source,
$"[이전 도구 호출 묶음 축약]\n- 도구 호출 구조는 유지하지 않고 요약만 남겼습니다.\n- 원본 길이: {content.Length:N0}자");
return true;
}
if (source.MetaKind != null)
{
compacted = CloneWithContent(
source,
$"[이전 실행 메타 축약]\n- 종류: {source.MetaKind}\n- 자세한 실행 이벤트는 압축되었습니다.");
return true;
}
if (content.Length <= MaxToolResultChars) return false;
var head = content[..Math.Min(MicrocompactSingleKeepChars, content.Length)];
compacted = CloneWithContent(
source,
head + $"\n\n...[이전 메시지 microcompact 적용 — 원본 {content.Length:N0}자]");
return true;
}
private static ChatMessage BuildMicrocompactBoundary(List<ChatMessage> group)
{
int toolResults = group.Count(m => (m.Content ?? "").StartsWith("{\"type\":\"tool_result\"", StringComparison.Ordinal));
int toolCalls = group.Count(m => (m.Content ?? "").StartsWith("{\"_tool_use_blocks\"", StringComparison.Ordinal));
int metaEvents = group.Count(m => m.MetaKind != null);
int longTexts = group.Count(m =>
!(m.Content ?? "").StartsWith("{\"type\":\"tool_result\"", StringComparison.Ordinal) &&
!(m.Content ?? "").StartsWith("{\"_tool_use_blocks\"", StringComparison.Ordinal) &&
m.MetaKind == null);
var attachmentSummary = CollectCompactionAttachmentSummary(group, 4);
var lines = new List<string>
{
$"[이전 실행 묶음 압축 — {group.Count}개 메시지]"
};
if (toolResults > 0) lines.Add($"- 도구 결과 {toolResults}건 정리");
if (toolCalls > 0) lines.Add($"- 도구 호출 {toolCalls}건 정리");
if (metaEvents > 0) lines.Add($"- 실행 메타/로그 {metaEvents}건 정리");
if (longTexts > 0) lines.Add($"- 긴 설명/출력 {longTexts}건 축약");
if (attachmentSummary.AttachedFiles.Count > 0) lines.Add($"- 관련 파일: {string.Join(", ", attachmentSummary.AttachedFiles)}");
if (attachmentSummary.ImageCount > 0) lines.Add($"- 관련 이미지: {attachmentSummary.ImageCount}개");
return new ChatMessage
{
Role = "assistant",
Content = string.Join("\n", lines),
Timestamp = group.Last().Timestamp,
MetaKind = "microcompact_boundary",
MetaRunId = group.Last().MetaRunId,
AttachedFiles = attachmentSummary.AttachedFiles.Count > 0 ? attachmentSummary.AttachedFiles : null,
};
}
/// <summary>
/// 2단계: 오래된 메시지를 LLM으로 요약합니다.
/// 시스템 메시지 + 최근 N개는 유지하고, 나머지를 요약으로 교체합니다.
/// </summary>
private static async Task<bool> SummarizeOldMessagesAsync(
List<ChatMessage> messages, ILlmService llm, CancellationToken ct)
{
var window = SplitCompactionWindow(messages, extraTrailingProtection: 0);
var systemMsg = window.SystemMessage;
var oldMessages = window.OldMessages;
var recentMessages = window.RecentMessages;
var attachmentSummary = CollectCompactionAttachmentSummary(oldMessages, 6);
if (oldMessages.Count < 3) return false;
// 요약 대상 텍스트 구성
var sb = new System.Text.StringBuilder();
sb.AppendLine("다음 대화 기록을 간결하게 요약하세요.");
sb.AppendLine("반드시 유지할 정보: 사용자 요청, 핵심 결정 사항, 생성/수정된 파일 경로, 작업 진행 상황, 중요한 결과.");
sb.AppendLine("제거할 정보: 도구 실행의 상세 출력, 반복되는 내용, 중간 사고 과정.");
sb.AppendLine("요약은 대화와 동일한 언어로 작성하세요. 글머리 기호(-)로 핵심 사항만 나열하세요.\n---");
foreach (var m in oldMessages)
{
var content = m.Content ?? "";
if (content.StartsWith("{\"_tool_use_blocks\""))
content = "[도구 호출]";
else if (content.StartsWith("{\"type\":\"tool_result\""))
content = "[도구 결과]";
else if (content.Length > 300)
content = content[..300] + "...";
sb.AppendLine($"[{m.Role}]: {content}");
}
try
{
var summaryMessages = new List<ChatMessage>
{
new() { Role = "user", Content = sb.ToString() }
};
var summary = await llm.SendAsync(summaryMessages, ct);
if (string.IsNullOrEmpty(summary)) return false;
// 메시지 재구성: system + 요약 + 최근 메시지
messages.Clear();
if (systemMsg != null) messages.Add(systemMsg);
messages.Add(new ChatMessage
{
Role = "user",
Content = BuildSummaryMessageContent(oldMessages.Count, summary, attachmentSummary),
Timestamp = DateTime.Now,
AttachedFiles = attachmentSummary.AttachedFiles.Count > 0 ? attachmentSummary.AttachedFiles : null,
});
messages.Add(new ChatMessage
{
Role = "assistant",
Content = "이전 대화 내용을 확인했습니다. 이어서 작업하겠습니다.",
Timestamp = DateTime.Now,
});
messages.AddRange(recentMessages);
return true;
}
catch (Exception ex)
{
LogService.Warn($"Context Condenser 요약 실패: {ex.Message}");
return false;
}
}
private static CompactionAttachmentSummary CollectCompactionAttachmentSummary(IEnumerable<ChatMessage> messages, int maxFiles)
{
var attachedFiles = messages
.SelectMany(m => m.AttachedFiles ?? Enumerable.Empty<string>())
.Distinct(StringComparer.OrdinalIgnoreCase)
.Select(path =>
{
try { return System.IO.Path.GetFileName(path); }
catch { return path; }
})
.Where(name => !string.IsNullOrWhiteSpace(name))
.Take(Math.Max(1, maxFiles))
.ToList();
var imageCount = messages.Sum(m => m.Images?.Count ?? 0);
return new CompactionAttachmentSummary
{
AttachedFiles = attachedFiles,
ImageCount = imageCount,
};
}
private static string BuildSummaryMessageContent(int oldMessageCount, string summary, CompactionAttachmentSummary attachmentSummary)
{
var lines = new List<string>
{
$"[이전 대화 요약 — {oldMessageCount}개 메시지 압축]",
summary.Trim()
};
if (attachmentSummary.AttachedFiles.Count > 0)
lines.Add($"참고 파일: {string.Join(", ", attachmentSummary.AttachedFiles)}");
if (attachmentSummary.ImageCount > 0)
lines.Add($"참고 이미지: {attachmentSummary.ImageCount}개");
return string.Join("\n", lines.Where(x => !string.IsNullOrWhiteSpace(x)));
}
}