Files
AX-Copilot-Codex/src/AxCopilot/Services/Agent/StreamingToolExecutionCoordinator.cs
lacvet 3c6d2f1ce4 핵심 엔진을 claude-code 기준으로 정렬하고 스트리밍 재시도 경계를 정리한다
- StreamingToolExecutionCoordinator에서 조기 실행 대상을 file_read/document_read 중심으로 축소하고 folder_map 등 구조 탐색 도구를 prefetch 대상에서 제거함

- 스트리밍 재시도 전에 RetryReset 이벤트를 추가해 중간 응답 미리보기 누적을 끊고 AgentLoopService가 재시도 경계를 명확히 표시하도록 조정함

- AxAgentExecutionEngine의 Cowork/Code 빈 응답 합성을 보수적으로 바꿔 실행 근거가 있을 때만 완료 요약을 만들고 근거가 없으면 로그 확인 안내를 반환하도록 정리함

- Code 루프의 post-tool verification과 completion gate도 직전 수정에서 함께 정리해 일반 수정의 과검증을 줄였음

- README.md, docs/DEVELOPMENT.md에 2026-04-09 21:03 (KST) 기준 변경 이력과 검증 결과를 반영함

검증 결과: dotnet build src/AxCopilot/AxCopilot.csproj -c Release -v minimal -p:OutputPath=bin\\verify\\ -p:IntermediateOutputPath=obj\\verify\\ 경고 0 / 오류 0
2026-04-09 21:07:49 +09:00

174 lines
7.4 KiB
C#

using System.Collections.Generic;
using System.Diagnostics;
using System.Text;
using System.Text.Json;
using AxCopilot.Models;
using AxCopilot.Services;
namespace AxCopilot.Services.Agent;
internal sealed class StreamingToolExecutionCoordinator : IToolExecutionCoordinator
{
private static readonly HashSet<string> PrefetchableReadOnlyTools = new(StringComparer.OrdinalIgnoreCase)
{
"file_read", "document_read",
"env_tool", "datetime_tool",
"dev_env_detect", "memory", "json_tool", "regex_tool", "base64_tool",
"hash_tool", "image_analyze"
};
private readonly ILlmService _llm;
private readonly Func<string, IReadOnlyCollection<string>, string> _resolveRequestedToolName;
private readonly Func<string, JsonElement, AgentContext, List<ChatMessage>?, CancellationToken, Task<ToolResult>> _executeToolAsync;
private readonly Action<AgentEventType, string, string> _emitEvent;
private readonly Func<string?, bool> _isContextOverflowError;
private readonly Func<List<ChatMessage>, bool> _forceContextRecovery;
private readonly Func<Exception, bool> _isTransientLlmError;
private readonly Func<int, Exception, int> _computeTransientBackoffDelayMs;
public StreamingToolExecutionCoordinator(
ILlmService llm,
Func<string, IReadOnlyCollection<string>, string> resolveRequestedToolName,
Func<string, JsonElement, AgentContext, List<ChatMessage>?, CancellationToken, Task<ToolResult>> executeToolAsync,
Action<AgentEventType, string, string> emitEvent,
Func<string?, bool> isContextOverflowError,
Func<List<ChatMessage>, bool> forceContextRecovery,
Func<Exception, bool> isTransientLlmError,
Func<int, Exception, int> computeTransientBackoffDelayMs)
{
_llm = llm;
_resolveRequestedToolName = resolveRequestedToolName;
_executeToolAsync = executeToolAsync;
_emitEvent = emitEvent;
_isContextOverflowError = isContextOverflowError;
_forceContextRecovery = forceContextRecovery;
_isTransientLlmError = isTransientLlmError;
_computeTransientBackoffDelayMs = computeTransientBackoffDelayMs;
}
public async Task<ToolPrefetchResult?> TryPrefetchReadOnlyToolAsync(
ContentBlock block,
IReadOnlyCollection<IAgentTool> tools,
AgentContext context,
CancellationToken ct)
{
var activeToolNames = tools.Select(t => t.Name).Distinct(StringComparer.OrdinalIgnoreCase).ToList();
var resolvedToolName = _resolveRequestedToolName(block.ToolName, activeToolNames);
block.ResolvedToolName = resolvedToolName;
if (!PrefetchableReadOnlyTools.Contains(resolvedToolName))
return null;
_emitEvent(
AgentEventType.Thinking,
resolvedToolName,
$"읽기 도구 조기 실행 준비: {resolvedToolName}");
var sw = Stopwatch.StartNew();
try
{
var input = block.ToolInput ?? JsonDocument.Parse("{}").RootElement;
var result = await _executeToolAsync(resolvedToolName, input, context, null, ct);
sw.Stop();
return new ToolPrefetchResult(result, sw.ElapsedMilliseconds, resolvedToolName);
}
catch (Exception ex)
{
sw.Stop();
return new ToolPrefetchResult(
ToolResult.Fail($"조기 실행 오류: {ex.Message}"),
sw.ElapsedMilliseconds,
resolvedToolName);
}
}
public async Task<List<ContentBlock>> SendWithToolsWithRecoveryAsync(
List<ChatMessage> messages,
IReadOnlyCollection<IAgentTool> tools,
CancellationToken ct,
string phaseLabel,
AgentLoopService.RunState? runState = null,
bool forceToolCall = false,
Func<ContentBlock, Task<ToolPrefetchResult?>>? prefetchToolCallAsync = null,
Func<ToolStreamEvent, Task>? onStreamEventAsync = null)
{
var transientRetries = runState?.TransientLlmErrorRetries ?? 0;
var contextRecoveryRetries = runState?.ContextRecoveryAttempts ?? 0;
while (true)
{
var streamedAnyPartialState = false;
try
{
if (onStreamEventAsync == null)
return await _llm.SendWithToolsAsync(messages, tools, ct, forceToolCall, prefetchToolCallAsync);
var blocks = new List<ContentBlock>();
var textBuilder = new StringBuilder();
await foreach (var evt in _llm.StreamWithToolsAsync(messages, tools, forceToolCall, prefetchToolCallAsync, ct).WithCancellation(ct))
{
await onStreamEventAsync(evt);
if (evt.Kind == ToolStreamEventKind.TextDelta && !string.IsNullOrWhiteSpace(evt.Text))
{
streamedAnyPartialState = true;
textBuilder.Append(evt.Text);
}
else if (evt.Kind == ToolStreamEventKind.ToolCallReady && evt.ToolCall != null)
{
streamedAnyPartialState = true;
blocks.Add(evt.ToolCall);
}
}
var result = new List<ContentBlock>();
var text = textBuilder.ToString().Trim();
if (!string.IsNullOrWhiteSpace(text))
result.Add(new ContentBlock { Type = "text", Text = text });
result.AddRange(blocks);
return result;
}
catch (Exception ex)
{
if (_isContextOverflowError(ex.Message)
&& contextRecoveryRetries < 2
&& _forceContextRecovery(messages))
{
if (onStreamEventAsync != null && streamedAnyPartialState)
await onStreamEventAsync(new ToolStreamEvent(ToolStreamEventKind.RetryReset, $"{phaseLabel}:retry"));
contextRecoveryRetries++;
if (runState != null)
runState.ContextRecoveryAttempts = contextRecoveryRetries;
_emitEvent(
AgentEventType.Thinking,
"",
$"{phaseLabel}: 컨텍스트 한도 초과로 대화를 압축한 후 재시도합니다 ({contextRecoveryRetries}/2)");
continue;
}
if (ct.IsCancellationRequested)
throw;
if (_isTransientLlmError(ex) && transientRetries < 3)
{
if (onStreamEventAsync != null && streamedAnyPartialState)
await onStreamEventAsync(new ToolStreamEvent(ToolStreamEventKind.RetryReset, $"{phaseLabel}:retry"));
transientRetries++;
if (runState != null)
runState.TransientLlmErrorRetries = transientRetries;
var delayMs = _computeTransientBackoffDelayMs(transientRetries, ex);
_emitEvent(
AgentEventType.Thinking,
"",
$"{phaseLabel}: 일시적 LLM 오류로 {delayMs}ms 후 재시도합니다 ({transientRetries}/3)");
await Task.Delay(delayMs, ct);
continue;
}
throw;
}
}
}
}