_server_out.txt

21:53:16.150 [Settings] IPC handlers registered

  ΓòöΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòù
  Γòæ  guIDE Web Server                                 Γòæ
  Γòæ  http://localhost:3200                           Γòæ
  Γòæ  Tunnel: https://dev.graysoft.dev                 Γòæ
  ║  Copyright © 2025-2026 Brendan Gray (FileShot)    ║
  ΓòÜΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓòÉΓò¥

[WEB] Initializing services...
[WEB] Deferred handlers registered in 22ms
[WEB] Found 14 model(s)
[WEB] Auto-loading last used model: Qwen3.5-4B-Q4_K_M
[WEB] All services ready.
[WEB-WS] Client connected: a3lrsk
node : 21:53:33.207 [CUDA mode loaded 0 layers despite 4.0GB VRAM & 40 
estimated layers ΓÇö trying explicit layer count]
At line:1 char:1
+ node server.js 2>&1 | Tee-Object -FilePath "C:\Users\brend\IDE\_serve ...
+ ~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : NotSpecified: (21:53:33.207 [C...it layer count] 
   :String) [], RemoteException
    + FullyQualifiedErrorId : NativeCommandError
 
21:53:35.312 [AUTO mode loaded 0 layers despite 4.0GB VRAM & 40 estimated 
layers ΓÇö trying explicit layer count]
[LLM] _computeMaxContext: modelSize=0.44GB, freeRam=11.7GB, kvPerToken=0.5KB, availableForKV=9.7GB, maxFromRam=20280032, result=131072
[LLM] _computeMaxContextGpu: totalVram=4.00GB, modelGPU=2.08GB, embeddingOverhead=0.63GB, freeForKV=0.51GB, kvKBPerToken=100, result=5327
[LLM] Partial GPU offload: 33/40 layers on GPU, RAM model portion=0.44GB, ramCtx=131072, vramCtx=5327, targetCtx=5327
[LLM DIAG] Context creation: mode=40, targetCtx=5327, clampedCtx=5327, trainCtx=262144, modelSizeGB=2.52
[LLM DIAG] Context created: actualSize=5376, mode=40
21:53:38.845 [GPU mode 40 context too small (5376), trying next mode]
[LLM] _computeMaxContext: modelSize=1.26GB, freeRam=12.4GB, kvPerToken=0.5KB, availableForKV=10.4GB, maxFromRam=21718616, result=131072
[LLM] _computeMaxContextGpu: totalVram=4.00GB, modelGPU=1.26GB, embeddingOverhead=0.63GB, freeForKV=1.33GB, kvKBPerToken=100, result=13920
[LLM] Partial GPU offload: 20/40 layers on GPU, RAM model portion=1.26GB, ramCtx=131072, vramCtx=13920, targetCtx=13920
[LLM DIAG] Context creation: mode=20, targetCtx=13920, clampedCtx=13920, trainCtx=262144, modelSizeGB=2.52
[LLM DIAG] Context created: actualSize=14080, mode=20
21:53:42.984 [Model loaded: Qwen3.5-4B-Q4_K_M.gguf (qwen/medium, ctx=14080, gpu=20, layers=20)]
21:53:42.984 [Chat wrapper: JinjaTemplateChatWrapper]
[WEB] Auto-loaded model: Qwen3.5-4B-Q4_K_M
[WEB-WS] Client disconnected: a3lrsk
[WEB-WS] Client connected: k1vv2z
22:07:05.539 [Terminal] Created terminal 1 (powershell.exe)
22:07:05.627 [RAG] Indexed 2 files (21 chunks) in 0.0s
22:07:05.987 [Settings] Saved
22:08:02.367 [Settings] Saved
22:08:05.085 [CUDA mode loaded 0 layers despite 4.0GB VRAM & 40 estimated 
layers ΓÇö trying explicit layer count]
22:08:07.279 [AUTO mode loaded 0 layers despite 4.0GB VRAM & 40 estimated 
layers ΓÇö trying explicit layer count]
[LLM] _computeMaxContext: modelSize=0.44GB, freeRam=11.7GB, kvPerToken=0.5KB, availableForKV=9.7GB, maxFromRam=20391520, result=131072
[LLM] _computeMaxContextGpu: totalVram=4.00GB, modelGPU=2.08GB, embeddingOverhead=0.63GB, freeForKV=0.51GB, kvKBPerToken=100, result=5327
[LLM] Partial GPU offload: 33/40 layers on GPU, RAM model portion=0.44GB, ramCtx=131072, vramCtx=5327, targetCtx=5327
[LLM DIAG] Context creation: mode=40, targetCtx=5327, clampedCtx=5327, trainCtx=262144, modelSizeGB=2.52
[LLM DIAG] Context created: actualSize=5376, mode=40
22:08:10.879 [GPU mode 40 context too small (5376), trying next mode]
[LLM] _computeMaxContext: modelSize=1.26GB, freeRam=12.5GB, kvPerToken=0.5KB, availableForKV=10.5GB, maxFromRam=22068648, result=131072
[LLM] _computeMaxContextGpu: totalVram=4.00GB, modelGPU=1.26GB, embeddingOverhead=0.63GB, freeForKV=1.33GB, kvKBPerToken=100, result=13920
[LLM] Partial GPU offload: 20/40 layers on GPU, RAM model portion=1.26GB, ramCtx=131072, vramCtx=13920, targetCtx=13920
[LLM DIAG] Context creation: mode=20, targetCtx=13920, clampedCtx=13920, trainCtx=262144, modelSizeGB=2.52
[LLM DIAG] Context created: actualSize=14080, mode=20
22:08:15.190 [Model loaded: Qwen3.5-4B-Q4_K_M.gguf (qwen/medium, ctx=14080, gpu=20, layers=20)]
22:08:15.191 [Chat wrapper: JinjaTemplateChatWrapper]
[LLM] Persisted lastUsedModel: Qwen3.5-4B-Q4_K_M.gguf
[AI Chat] Profile: qwen | ctx=14080 (hw=14080) | sysReserve=3085
[AI Chat] Model: qwen (undefined qwen) ΓÇö tools=15, grammar=limited
[AI Chat] Fix56: sysReserve corrected 3085→5227 tokens (+2142). maxPromptTokens 7475→5333
[AI Chat] Auto-created 5 todos for incremental task
[AI Chat] Model: qwen (4B qwen) ΓÇö tools=15, grammar=limited
[AI Chat] Agentic iteration 1/50
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{\""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":\""
[LLM-BATCH] "write"
[LLM-BATCH] "_t"
[LLM-BATCH] "odos"
[LLM-BATCH] "\",\""
[LLM-BATCH] "params"
[LLM-BATCH] "\":{\""
[LLM-BATCH] "items"
[LLM-BATCH] "\":[{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "1"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "An"
[LLM-BATCH] "alyze"
[LLM-BATCH] " requirements"
[LLM-BATCH] " and"
[LLM-BATCH] " plan"
[LLM-BATCH] " approach"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "done"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "2"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Implement"
[LLM-BATCH] " core"
[LLM-BATCH] " structure"
[LLM-BATCH] " ("
[LLM-BATCH] "HTML"
[LLM-BATCH] ","
[LLM-BATCH] " CSS"
[LLM-BATCH] ","
[LLM-BATCH] " canvas"
[LLM-BATCH] " setup"
[LLM-BATCH] ")\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "3"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Create"
[LLM-BATCH] " dungeon"
[LLM-BATCH] " map"
[LLM-BATCH] " generator"
[LLM-BATCH] " with"
[LLM-BATCH] " multi"
[LLM-BATCH] "-room"
[LLM-BATCH] " layouts"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "4"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Build"
[LLM-BATCH] " tile"
[LLM-BATCH] "-based"
[LLM-BATCH] " renderer"
[LLM-BATCH] " and"
[LLM-BATCH] " player"
[LLM-BATCH] " movement"
[LLM-BATCH] " system"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "5"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Implement"
[LLM-BATCH] " combat"
[LLM-BATCH] " system"
[LLM-BATCH] " with"
[LLM-BATCH] " damage"
[LLM-BATCH] "/"
[LLM-BATCH] "health"
[LLM-BATCH] "/"
[LLM-BATCH] "attack"
[LLM-BATCH] " stats"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "6"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Add"
[LLM-BATCH] " "
[LLM-BATCH] "8"
[LLM-BATCH] "+"
[LLM-BATCH] " enemy"
[LLM-BATCH] " types"
[LLM-BATCH] " with"
[LLM-BATCH] " unique"
[LLM-BATCH] " behaviors"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "7"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Create"
[LLM-BATCH] " item"
[LLM-BATCH] "/in"
[LLM-BATCH] "ventory"
[LLM-BATCH] " system"
[LLM-BATCH] " ("
[LLM-BATCH] "pot"
[LLM-BATCH] "ions"
[LLM-BATCH] "/we"
[LLM-BATCH] "apons"
[LLM-BATCH] "/"
[LLM-BATCH] "armor"
[LLM-BATCH] ")\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "8"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Build"
[LLM-BATCH] " shop"
[LLM-BATCH] " mechanic"
[LLM-BATCH] " for"
[LLM-BATCH] " buying"
[LLM-BATCH] "/s"
[LLM-BATCH] "elling"
[LLM-BATCH] " between"
[LLM-BATCH] " floors"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "9"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Add"
[LLM-BATCH] " floor"
[LLM-BATCH] " progression"
[LLM-BATCH] " that"
[LLM-BATCH] " increases"
[LLM-BATCH] " difficulty"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[AI Chat] Streaming progress: 817 chars, ~4148/14080 ctx tokens (29%) | tail: "ng"},{"id":9,"text":"Add floor progression that increases difficulty","status":""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "1"
[LLM-BATCH] "0"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Implement"
[LLM-BATCH] " minim"
[LLM-BATCH] "ap"
[LLM-BATCH] " overlay"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "1"
[LLM-BATCH] "1"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Add"
[LLM-BATCH] " sound"
[LLM-BATCH] " effects"
[LLM-BATCH] " using"
[LLM-BATCH] " Web"
[LLM-BATCH] " Audio"
[LLM-BATCH] " API"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "1"
[LLM-BATCH] "2"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Create"
[LLM-BATCH] " high"
[LLM-BATCH] " score"
[LLM-BATCH] " system"
[LLM-BATCH] " with"
[LLM-BATCH] " localStorage"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "1"
[LLM-BATCH] "3"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Build"
[LLM-BATCH] " full"
[LLM-BATCH] " HUD"
[LLM-BATCH] " display"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"},{\""
[LLM-BATCH] "id"
[LLM-BATCH] "\":"
[LLM-BATCH] "1"
[LLM-BATCH] "4"
[LLM-BATCH] ",\""
[LLM-BATCH] "text"
[LLM-BATCH] "\":\""
[LLM-BATCH] "Test"
[LLM-BATCH] " and"
[LLM-BATCH] " verify"
[LLM-BATCH] " complete"
[LLM-BATCH] " game"
[LLM-BATCH] " functionality"
[LLM-BATCH] "\",\""
[LLM-BATCH] "status"
[LLM-BATCH] "\":\""
[LLM-BATCH] "pending"
[LLM-BATCH] "\"}"
[LLM-BATCH] "]"
[LLM-BATCH] "}}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{"tool":"write_todos","params":{"items":[{"id":1,"text":"Analyze requirements and plan approach","status":"done"},{"id":2,"text":"Implement core structure (HTML, CSS, canvas setup)","status":"
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: write_todos result: success
[AI Chat] Agentic iteration 2/50
[LLM-BATCH] "I"
[LLM-BATCH] "'ll"
[LLM-BATCH] " continue"
[LLM-BATCH] " creating"
[LLM-BATCH] " the"
[LLM-BATCH] " complete"
[LLM-BATCH] " procedural"
[LLM-BATCH] " dungeon"
[LLM-BATCH] " crawler"
[LLM-BATCH] " game"
[LLM-BATCH] "."
[LLM-BATCH] " Let"
[LLM-BATCH] " me"
[LLM-BATCH] " start"
[LLM-BATCH] " by"
[LLM-BATCH] " implementing"
[LLM-BATCH] " the"
[LLM-BATCH] " core"
[LLM-BATCH] " structure"
[LLM-BATCH] " with"
[LLM-BATCH] " HTML"
[LLM-BATCH] ","
[LLM-BATCH] " CSS"
[LLM-BATCH] ","
[LLM-BATCH] " and"
[LLM-BATCH] " canvas"
[LLM-BATCH] " setup"
[LLM-BATCH] ","
[LLM-BATCH] " then"
[LLM-BATCH] " add"
[LLM-BATCH] " all"
[LLM-BATCH] " the"
[LLM-BATCH] " required"
[LLM-BATCH] " features"
[LLM-BATCH] " systematically"
[LLM-BATCH] "."
[LLM-BATCH] "\n\n"
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{\""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":\""
[LLM-BATCH] "write"
[LLM-BATCH] "_file"
[LLM-BATCH] "\",\""
[LLM-BATCH] "params"
[LLM-BATCH] "\":{\""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":\""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\",\""
[LLM-BATCH] "content"
[LLM-BATCH] "\":\""
[LLM-BATCH] "<!"
[LLM-BATCH] "DOCTYPE"
[LLM-BATCH] " html"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "<html"
[LLM-BATCH] " lang"
[LLM-BATCH] "=\\\""
[LLM-BATCH] "en"
[LLM-BATCH] "\\\">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "<head"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "   "
[LLM-BATCH] " <meta"
[LLM-BATCH] " charset"
[LLM-BATCH] "=\\\""
[LLM-BATCH] "UTF"
[LLM-BATCH] "-"
[LLM-BATCH] "8"
[LLM-BATCH] "\\\">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "   "
[LLM-BATCH] " <meta"
[LLM-BATCH] " name"
[LLM-BATCH] "=\\\""
[LLM-BATCH] "viewport"
[LLM-BATCH] "\\\""
[LLM-BATCH] " content"
[LLM-BATCH] "=\\\""
[LLM-BATCH] "width"
[LLM-BATCH] "=device"
[LLM-BATCH] "-width"
[LLM-BATCH] ","
[LLM-BATCH] " initial"
[LLM-BATCH] "-scale"
[LLM-BATCH] "="
[LLM-BATCH] "1"
[LLM-BATCH] "."
[LLM-BATCH] "0"
[LLM-BATCH] "\\\">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "   "
[LLM-BATCH] " <title"
[LLM-BATCH] ">"
[LLM-BATCH] "Pro"
[LLM-BATCH] "ced"
[LLM-BATCH] "ural"
[LLM-BATCH] " Dungeon"
[LLM-BATCH] " C"
[LLM-BATCH] "rawler"
[LLM-BATCH] "</title"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "   "
[LLM-BATCH] " <style"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "       "
[LLM-BATCH] " *"
[LLM-BATCH] " {\\"
[LLM-BATCH] "n"
[LLM-BATCH] "           "
[LLM-BATCH] " margin"
[LLM-BATCH] ":"
[LLM-BATCH] " "
[LLM-BATCH] "0"
[LLM-BATCH] ";\\"
[LLM-BATCH] "n"
[LLM-BATCH] "           "
[LLM-BATCH] " padding"
[LLM-BATCH] ":"
[LLM-BATCH] " "
[LLM-BATCH] "0"
[LLM-BATCH] ";\\"
[LLM-BATCH] "n"
[LLM-BATCH] "           "
[LLM-BATCH] " box"
[LLM-BATCH] "-sizing"
[LLM-BATCH] ":"
[LLM-BATCH] " border"
[LLM-BATCH] "-box"
[LLM-BATCH] ";\\"
[LLM-BATCH] "n"
[LLM-BATCH] "       "
[LLM-BATCH] " }\\"
[LLM-BATCH] "n"
[LLM-BATCH] "\\n"
[LLM-BATCH] "       "
[LLM-BATCH] " body"
[LLM-BATCH] " {\\"
[LLM-BATCH] "n"
[LLM-BATCH] "           "
[LLM-BATCH] " font"
[LLM-BATCH] "-family"
[LLM-BATCH] ":"
[LLM-BATCH] " '"
[LLM-BATCH] "Courier"
[LLM-BATCH] " New"
[LLM-BATCH] "',"
[LLM-BATCH] " mon"
[LLM-BATCH] "ospace"
[LLM-BATCH] ";\\"
[LLM-BATCH] "n"
[LLM-BATCH] "           "
[LLM-BATCH] " background"
[LLM-BATCH] "-color"
[LLM-BATCH] ":"
[LLM-BATCH] " #"
[LLM-BATCH] "0"
[LLM-BATCH] "a"
[LLM-BATCH] "0"
[LLM-BATCH] "a"
[LLM-BATCH] "0"
[AI Chat] Streaming progress: 718 chars, ~4507/14080 ctx tokens (32%) | tail: "    font-family: 'Courier New', monospace;\n            background-color: #0a0a0"
[LLM-BATCH] "a"
[LLM-BATCH] ";\\"
[LLM-BATCH] "n"
[LLM-BATCH] "           "
[LLM-BATCH] " color"
[LLM-BATCH] ":"
[LLM-BATCH] " #"
[LLM-BATCH] "d"
[LLM-BATCH] "4"
[LLM-BATCH] "af"
[LLM-BATCH] "3"
[LLM-BATCH] "7"
[LLM-BATCH] ";\\"
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[AI Chat] Streaming progress: 1519 chars, ~4755/14080 ctx tokens (34%) | tail: "      }\n\n        .panel {\n            background-color: #1f1f1f;\n           "
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[AI Chat] Streaming progress: 2275 chars, ~4972/14080 ctx tokens (35%) | tail: "\n            margin-top: 5px;\n        }\n\n        #health-fill {\n           "
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[AI Chat] Streaming progress: 3106 chars, ~5217/14080 ctx tokens (37%) | tail: "   }\n\n        .enemy-preview {\n            width: 60px;\n            height: "
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[AI Chat] Streaming progress: 4012 chars, ~5460/14080 ctx tokens (39%) | tail: "t: space-between;\n            align-items: center;\n            padding: 8px;\n"
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[AI Chat] Streaming progress: 4831 chars, ~5703/14080 ctx tokens (41%) | tail: " Sidebar with HUD and Controls -->\n        <div class=\"sidebar\">\n           "
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[LLM-BATCH] "stat"
[LLM-BATCH] "-row"
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[LLM-BATCH] "0"
[LLM-BATCH] "3"
[LLM-BATCH] "9"
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[LLM-BATCH] "n"
[LLM-BATCH] "                   "
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[LLM-BATCH] ">"
[LLM-BATCH] "ΓÜö"
[LLM-BATCH] "️"
[LLM-BATCH] " Attack"
[LLM-BATCH] ":"
[LLM-BATCH] "</span"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "                   "
[LLM-BATCH] " <span"
[LLM-BATCH] " id"
[AI Chat] Streaming progress: 5783 chars, ~5941/14080 ctx tokens (42%) | tail: "">\n                    <span>⚔️ Attack:</span>\n                    <span id=\""
[LLM-BATCH] "=\\\""
[LLM-BATCH] "attack"
[LLM-BATCH] "-display"
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[LLM-BATCH] "1"
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[LLM-BATCH] "n"
[LLM-BATCH] "               "
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "\\n"
[LLM-BATCH] "               "
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[LLM-BATCH] "5"
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[LLM-BATCH] "n"
[LLM-BATCH] "                   "
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[LLM-BATCH] ">"
[LLM-BATCH] "🛡"
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[LLM-BATCH] " Defense"
[LLM-BATCH] ":"
[LLM-BATCH] "</span"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "                   "
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[LLM-BATCH] "defense"
[LLM-BATCH] "-display"
[LLM-BATCH] "\\\">"
[LLM-BATCH] "5"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "               "
[LLM-BATCH] " "
[LLM-BATCH] "</div"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "           "
[LLM-BATCH] " "
[LLM-BATCH] "</div"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "\\n"
[LLM-BATCH] "           "
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[LLM-BATCH] " Inventory"
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[LLM-BATCH] "\\"
[LLM-BATCH] "n"
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[LLM-BATCH] "n"
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[LLM-BATCH] "inventory"
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[LLM-BATCH] "inventory"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "               "
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[LLM-BATCH] "n"
[LLM-BATCH] "               "
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[LLM-BATCH] ".sell"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "           "
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "\\n"
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[LLM-BATCH] " Shop"
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[LLM-BATCH] "\\"
[LLM-BATCH] "n"
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[LLM-BATCH] "n"
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[LLM-BATCH] "Buy"
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[LLM-BATCH] "."
[LLM-BATCH] "</p"
[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
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[LLM-BATCH] "n"
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[LLM-BATCH] "shop"
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[LLM-BATCH] "n"
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[LLM-BATCH] ">P"
[LLM-BATCH] "otion"
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[LLM-BATCH] "HP"
[AI Chat] Streaming progress: 6709 chars, ~6178/14080 ctx tokens (44%) | tail: "n                <div class=\"shop-item\">\n                    <span>Potion (HP"
[LLM-BATCH] "+"
[LLM-BATCH] "3"
[LLM-BATCH] "0"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
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[LLM-BATCH] "🧪"
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[LLM-BATCH] "<span"
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[LLM-BATCH] "p"
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[LLM-BATCH] "5"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "               "
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "\\n"
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[LLM-BATCH] "Iron"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
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[LLM-BATCH] "ΓÜö"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
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[LLM-BATCH] "n"
[LLM-BATCH] "\\n"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
[LLM-BATCH] "\\n"
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[LLM-BATCH] "border"
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[AI Chat] Streaming progress: 7546 chars, ~6407/14080 ctx tokens (46%) | tail: "n></button>\n                </div>\n\n                <hr style=\"border-color:"
[LLM-BATCH] " #"
[LLM-BATCH] "4"
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[LLM-BATCH] "n"
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[LLM-BATCH] "n"
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[LLM-BATCH] "n"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
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[LLM-BATCH] "n"
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[LLM-BATCH] ">\\"
[LLM-BATCH] "n"
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[AI Chat] Streaming progress: 8384 chars, ~6640/14080 ctx tokens (47%) | tail: "n onclick=\"game.sellItem('leather_armor')\" id=\"sell-leather-armor-btn\">💰 +$"
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[AI Chat] Streaming progress: 9161 chars, ~6869/14080 ctx tokens (49%) | tail: "tation\n * Features: Map generation, combat, 8 enemy types, shop system, minimap"
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[AI Chat] Streaming progress: 10080 chars, ~7083/14080 ctx tokens (50%) | tail: "eq, this.ctx.currentTime);\n        \n        gain.gain.setValueAtTime(vol, this"
[LLM-BATCH] ".ctx"
[LLM-BATCH] ".currentTime"
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[AI Chat] Streaming progress: 10894 chars, ~7288/14080 ctx tokens (52%) | tail: "    noise.buffer = buffer;\n        const gain = this.ctx.createGain();\n       "
[LLM-BATCH] " gain"
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[AI Chat] Streaming progress: 11572 chars, ~7505/14080 ctx tokens (53%) | tail: "his.enabled) {\n            this.playTone(600 + Math.random() * 400, 'sine', 0.5"
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[AI Chat] Streaming progress: 12345 chars, ~7696/14080 ctx tokens (55%) | tail: " }\n    }\n}\n\n// ============================================================\"
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[LLM-BATCH] " '-',"
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[LLM] Generation stopped at maxTokens (12831 chars)
[LLM-BATCH] "n"
[AI Chat] Seamless continuation 1/50 ΓÇö unclosed fence (12831 chars this pass, 14092 total)
[AI Chat] Salvaged 12030 chars for "dungeon-crawler.html"
[AI Chat] Salvage-and-append: wrote 386 lines to "dungeon-crawler.html"
[AI Chat] Post-salvage session reset: clean context for append continuation
[AI Chat] Agentic iteration 3/50
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{\""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":\""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\",\""
[LLM-BATCH] "params"
[LLM-BATCH] "\":{\""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":\""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\"}}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{"tool":"read_file","params":{"filePath":"dungeon-crawler.html"}}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 4/50
[Context Compaction] Phase 3: compacted 1 items at 108% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{\""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":\""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\",\""
[LLM-BATCH] "params"
[LLM-BATCH] "\":{\""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":\""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\",\""
[LLM-BATCH] "start"
[LLM-BATCH] "Line"
[LLM-BATCH] "\":"
[LLM-BATCH] "1"
[LLM-BATCH] ",\""
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[LLM-BATCH] "Line"
[LLM-BATCH] "\":"
[LLM-BATCH] "3"
[LLM-BATCH] "8"
[LLM-BATCH] "6"
[LLM-BATCH] "}}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{"tool":"read_file","params":{"filePath":"dungeon-crawler.html","startLine":1,"endLine":386}}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 5/50
[Context Compaction] Phase 3: compacted 2 items at 110% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "Let"
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[LLM-BATCH] " crawler"
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[LLM-BATCH] "."
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[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{\""
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[LLM-BATCH] "_file"
[LLM-BATCH] "\",\""
[LLM-BATCH] "params"
[LLM-BATCH] "\":{\""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":\""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\",\""
[LLM-BATCH] "start"
[LLM-BATCH] "Line"
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[LLM-BATCH] "1"
[LLM-BATCH] ",\""
[LLM-BATCH] "end"
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[LLM-BATCH] "3"
[LLM-BATCH] "8"
[LLM-BATCH] "6"
[LLM-BATCH] "}}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: Let me continue building the dungeon crawler game. I'll read the current file to see where we're at, then append more content systematically using my todo list approach.

```json
{"tool":"read_file","
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 6/50
[Context Compaction] Phase 3: compacted 1 items at 112% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{"
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "params"
[LLM-BATCH] "\":"
[LLM-BATCH] " {"
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "start"
[LLM-BATCH] "Line"
[LLM-BATCH] "\":"
[LLM-BATCH] " "
[LLM-BATCH] "1"
[LLM-BATCH] ","
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "end"
[LLM-BATCH] "Line"
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[LLM-BATCH] " "
[LLM-BATCH] "5"
[LLM-BATCH] "0"
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " }"
[LLM-BATCH] "\n"
[LLM-BATCH] "}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{
  "tool": "read_file",
  "params": {
    "filePath": "dungeon-crawler.html",
    "startLine": 1,
    "endLine": 50
  }
}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 7/50
[Context Compaction] Phase 3: compacted 1 items at 111% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{"
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "params"
[LLM-BATCH] "\":"
[LLM-BATCH] " {"
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "start"
[LLM-BATCH] "Line"
[LLM-BATCH] "\":"
[LLM-BATCH] " "
[LLM-BATCH] "1"
[LLM-BATCH] ","
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "end"
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[LLM-BATCH] " "
[LLM-BATCH] "3"
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[LLM-BATCH] " "
[LLM-BATCH] " }"
[LLM-BATCH] "\n"
[LLM-BATCH] "}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{
  "tool": "read_file",
  "params": {
    "filePath": "dungeon-crawler.html",
    "startLine": 1,
    "endLine": 386
  }
}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 8/50
[Context Compaction] Phase 3: compacted 1 items at 114% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{"
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "params"
[LLM-BATCH] "\":"
[LLM-BATCH] " {"
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "start"
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[LLM-BATCH] "1"
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[LLM-BATCH] "5"
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[LLM-BATCH] " }"
[LLM-BATCH] "\n"
[LLM-BATCH] "}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{
  "tool": "read_file",
  "params": {
    "filePath": "dungeon-crawler.html",
    "startLine": 1,
    "endLine": 50
  }
}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 9/50
[Context Compaction] Phase 3: compacted 1 items at 113% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{"
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "params"
[LLM-BATCH] "\":"
[LLM-BATCH] " {"
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
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[LLM-BATCH] "1"
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[LLM-BATCH] " }"
[LLM-BATCH] "\n"
[LLM-BATCH] "}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{
  "tool": "read_file",
  "params": {
    "filePath": "dungeon-crawler.html",
    "startLine": 1,
    "endLine": 40
  }
}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 10/50
[Context Compaction] Phase 3: compacted 1 items at 113% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{"
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] " "
[LLM-BATCH] " \""
[LLM-BATCH] "params"
[LLM-BATCH] "\":"
[LLM-BATCH] " {"
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":"
[LLM-BATCH] " \""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\","
[LLM-BATCH] "\n"
[LLM-BATCH] "   "
[LLM-BATCH] " \""
[LLM-BATCH] "start"
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[LLM-BATCH] " "
[LLM-BATCH] "3"
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[LLM-BATCH] "0"
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[LLM-BATCH] " "
[LLM-BATCH] " }"
[LLM-BATCH] "\n"
[LLM-BATCH] "}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{
  "tool": "read_file",
  "params": {
    "filePath": "dungeon-crawler.html",
    "startLine": 380,
    "endLine": 425
  }
}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 11/50
[Context Compaction] Phase 3: compacted 1 items at 112% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{\""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":\""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\",\""
[LLM-BATCH] "params"
[LLM-BATCH] "\":{\""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":\""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\",\""
[LLM-BATCH] "start"
[LLM-BATCH] "Line"
[LLM-BATCH] "\":"
[LLM-BATCH] "3"
[LLM-BATCH] "8"
[LLM-BATCH] "0"
[LLM-BATCH] ",\""
[LLM-BATCH] "end"
[LLM-BATCH] "Line"
[LLM-BATCH] "\":"
[LLM-BATCH] "4"
[LLM-BATCH] "1"
[LLM-BATCH] "5"
[LLM-BATCH] "}}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{"tool":"read_file","params":{"filePath":"dungeon-crawler.html","startLine":380,"endLine":415}}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Agentic iteration 12/50
[Context Compaction] Phase 3: compacted 1 items at 111% usage (ctx=14080, rotateAt=65%)
[LLM-BATCH] "```"
[LLM-BATCH] "json"
[LLM-BATCH] "\n"
[LLM-BATCH] "{\""
[LLM-BATCH] "tool"
[LLM-BATCH] "\":\""
[LLM-BATCH] "read"
[LLM-BATCH] "_file"
[LLM-BATCH] "\",\""
[LLM-BATCH] "params"
[LLM-BATCH] "\":{\""
[LLM-BATCH] "filePath"
[LLM-BATCH] "\":\""
[LLM-BATCH] "d"
[LLM-BATCH] "ungeon"
[LLM-BATCH] "-c"
[LLM-BATCH] "rawler"
[LLM-BATCH] ".html"
[LLM-BATCH] "\"}}"
[LLM-BATCH] "\n"
[LLM-BATCH] "```"
[MCP] processResponse called, text preview: ```json
{"tool":"read_file","params":{"filePath":"dungeon-crawler.html"}}
[MCP] Executing 1 tool calls... 
[MCP] Executed tool: read_file result: success
[AI Chat] Cycle: [read_file → read_file] ×5
[WEB-WS] Client disconnected: k1vv2z