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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ArLfteHQMu2Fi1jMM3syyf","type":"tool_result","content":"1\t@echo off\n2\techo Setting up Visual Studio environment...\n3\tcall \"C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Auxiliary\\Build\\vcvars64.bat\" >nul 2>&1\n4\t\n5\tREM Required for PyTorch C++ extension builds\n6\tset DISTUTILS_USE_SDK=1\n7\t\n8\techo Checking compiler...\n9\twhere cl.exe\n10\tif errorlevel 1 (\n11\t    echo ERROR: cl.exe not found after environment setup\n12\t    exit /b 1\n13\t)\n14\t\n15\techo.\n16\techo DISTUTILS_USE_SDK=%DISTUTILS_USE_SDK%\n17\techo.\n18\techo Installing SageAttention 2.2.0 from GitHub...\n19\tcd /d \"%~dp0\"\n20\t\".venv\\Scripts\\pip.exe\" uninstall sageattention -y 2>nul\n21\t\".venv\\Scripts\\pip.exe\" install git+https://github.com/thu-ml/SageAttention.git --no-build-isolation\n22\t\n23\techo.\n24\tif errorlevel 1 (\n25\t    echo BUILD FAILED! See errors above.\n26\t) else (\n27\t    echo SUCCESS! SageAttention 2.2.0 installed.\n28\t)\n29\tpause\n30\t"}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"8ffa2dc2-1591-4f5d-a206-714cd48ca2cb","timestamp":"2026-04-26T17:00:03.506Z","tool_use_result":{"type":"text","file":{"filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","content":"@echo off\necho Setting up Visual Studio environment...\ncall \"C:\\Program Files (x86)\\Microsoft Visual Studio\\2022\\BuildTools\\VC\\Auxiliary\\Build\\vcvars64.bat\" >nul 2>&1\n\nREM Required for PyTorch C++ extension builds\nset DISTUTILS_USE_SDK=1\n\necho Checking compiler...\nwhere cl.exe\nif errorlevel 1 (\n    echo ERROR: cl.exe not found after environment setup\n    exit /b 1\n)\n\necho.\necho DISTUTILS_USE_SDK=%DISTUTILS_USE_SDK%\necho.\necho Installing SageAttention 2.2.0 from GitHub...\ncd /d \"%~dp0\"\n\".venv\\Scripts\\pip.exe\" uninstall sageattention -y 2>nul\n\".venv\\Scripts\\pip.exe\" install git+https://github.com/thu-ml/SageAttention.git --no-build-isolation\n\necho.\nif errorlevel 1 (\n    echo BUILD FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n)\npause\n","numLines":30,"startLine":1,"totalLines":30}},"_audit_timestamp":"2026-04-26T17:00:03.521Z","_audit_hmac":"7322bd42b0b05b3ae9548e1a058bf74b36ac4af7f3abf4c7a092fdb0f8346423"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01PMJFLN6AHEQoBsmZMZzj3u","type":"message","role":"assistant","content":[{"type":"text","text":"Dosyayı gördüm. Şimdi hatanın ne olduğunu anlamam için birkaç şeyi kontrol etmem gerekiyor. Çalıştırdığınızda tam olarak hangi hata mesajını alıyorsunuz? Ama önce ortamı kontrol edeyim."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":469,"cache_read_input_tokens":44132,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":469},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"9e0ddb29-3be4-44fb-a514-a16350a3d026","_audit_timestamp":"2026-04-26T17:00:08.547Z","_audit_hmac":"1fd734795bbe94ce99f08a47201127bfdfc9f9e5a4a7d675b74d1d9baae0658e"}
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{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"User has answered your questions: \"Bat dosyasını çalıştırdığınızda hangi hata ile karşılaşıyorsunuz?\"=\"CUDA hatası\". You can now continue with the user's answers in mind.","tool_use_id":"toolu_01GEYMjn945P6cFHKL6m6k3S"}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"a6765063-d2be-49ba-8bc5-a0df7d6b7a26","timestamp":"2026-04-26T17:00:19.415Z","tool_use_result":{"questions":[{"question":"Bat dosyasını çalıştırdığınızda hangi hata ile karşılaşıyorsunuz?","header":"Hata türü","options":[{"label":"cl.exe bulunamadı","description":"Visual Studio Build Tools veya C++ derleyicisi bulunamıyor hatası"},{"label":"pip/build hatası","description":"SageAttention derlenirken C++/CUDA derleme hatası veriyor"},{"label":"vcvars64.bat bulunamadı","description":"Visual Studio ortam dosyası yolunda hata var"},{"label":"CUDA hatası","description":"CUDA toolkit bulunamıyor veya versiyon uyumsuzluğu"}],"multiSelect":false}],"answers":{"Bat dosyasını çalıştırdığınızda hangi hata ile karşılaşıyorsunuz?":"CUDA hatası"}},"_audit_timestamp":"2026-04-26T17:00:19.408Z","_audit_hmac":"40c1f5ef83ddb6cc05e77a6c7b0ae56e8fd3868aa3ae98b63c6c5eb5c2af7512"}
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\r\nmarkdown_py.exe               \r\nmid3cp.exe                    \r\nmid3iconv.exe                 \r\nmid3v2.exe                    \r\nmoggsplit.exe                 \r\nmutagen-inspect.exe           \r\nmutagen-pony.exe              \r\nninja.exe                     \r\nnodeenv.exe                   \r\nnormalizer.exe                \r\nnum2words                     \r\nnumba                         \r\nnumpy-config.exe              \r\nonnxruntime_test.exe          \r\noptuna.exe                    \r\npasteurize.exe                \r\npre-commit.exe                \r\npyannote-audio-eval.exe       \r\npyannote-audio-train.exe      \r\npyannote-database.exe         \r\npyannote-metrics.exe          \r\npyannote-pipeline.exe         \r\npyav.exe                      \r\npydoc.bat                     \r\npyftmerge.exe                 \r\npyftsubset.exe                \r\npygmentize.exe                \r\npygrun                        \r\npyright-langserver.exe        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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EYbCvVbP6HS4oR21vRLq9g","type":"tool_result","content":"18:  × Failed to build `sageattention @\n20:  ├─▶ The build backend returned an error\n21:  ╰─▶ Call to `setuptools.build_meta.build_wheel` failed (exit code: 1)\n280:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\pyerrors.h\n282:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\cpython/pyerrors.h\n616:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\system_error\n618:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\__msvc_system_error_abi.hpp\n3324:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors.h\n3326:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_ops.h\n7568:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_native.h\n11065:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\pyerrors.h\n11067:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\cpython/pyerrors.h\n11401:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\system_error\n11403:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\__msvc_system_error_abi.hpp\n14109:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors.h\n14111:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_ops.h\n18353:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_native.h\n21920:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\system_error\n21922:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\__msvc_system_error_abi.hpp\n24574:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors.h\n24576:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_ops.h\n28818:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_native.h\n32122:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\pyerrors.h\n32124:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\cpython/pyerrors.h\n32508:      FAILED: [code=4294967295]\n33834:      error C2872: 'std': belirsiz simge\n33853:      ninja: build stopped: subcommand failed.\n33889:      FAILED: [code=4294967295]\n34793:      error C2872: 'std': belirsiz simge\n34847:      FAILED: [code=4294967295]\n35751:      error C2872: 'std': belirsiz simge\n35805:      FAILED: [code=4294967295]\n36709:      error C2872: 'std': belirsiz simge\n36763:      FAILED: [code=4294967295]\n37667:      error C2872: 'std': belirsiz simge\n37721:      FAILED: [code=4294967295]\n38625:      error C2872: 'std': belirsiz simge\n38679:      FAILED: [code=4294967295]\n39583:      error C2872: 'std': belirsiz simge\n39637:      FAILED: [code=4294967295]\n40541:      error C2872: 'std': belirsiz simge\n40560:      ninja: build stopped: subcommand failed.\n40596:      FAILED: [code=4294967295]\n43786:      error C2872: 'std': belirsiz simge\n43805:      ninja: build stopped: subcommand failed.\n43826:          raise CalledProcessError(retcode, process.args,\n43827:      subprocess.CalledProcessError: Command '['ninja', '-v', '-j', '32']'\n43973:          raise RuntimeError(message) from e\n43974:      RuntimeError: Error compiling objects for extension\n43979:BUILD FAILED! See errors above."}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"3aad1afa-c167-41da-b555-c02684f0eeb0","timestamp":"2026-04-26T17:11:32.444Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"18:  × Failed to build `sageattention @\n20:  ├─▶ The build backend returned an error\n21:  ╰─▶ Call to `setuptools.build_meta.build_wheel` failed (exit code: 1)\n280:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\pyerrors.h\n282:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\cpython/pyerrors.h\n616:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\system_error\n618:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\__msvc_system_error_abi.hpp\n3324:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors.h\n3326:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_ops.h\n7568:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_native.h\n11065:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\pyerrors.h\n11067:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\cpython/pyerrors.h\n11401:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\system_error\n11403:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\__msvc_system_error_abi.hpp\n14109:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors.h\n14111:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_ops.h\n18353:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_native.h\n21920:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\system_error\n21922:      D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Tools\\MSVC\\14.44.35207\\include\\__msvc_system_error_abi.hpp\n24574:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors.h\n24576:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_ops.h\n28818:      D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\ATen/ops/_linalg_check_errors_native.h\n32122:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\pyerrors.h\n32124:      C:\\Users\\FikoYT\\AppData\\Roaming\\uv\\python\\cpython-3.12.12-windows-x86_64-none\\include\\cpython/pyerrors.h\n32508:      FAILED: [code=4294967295]\n33834:      error C2872: 'std': belirsiz simge\n33853:      ninja: build stopped: subcommand failed.\n33889:      FAILED: [code=4294967295]\n34793:      error C2872: 'std': belirsiz simge\n34847:      FAILED: [code=4294967295]\n35751:      error C2872: 'std': belirsiz simge\n35805:      FAILED: [code=4294967295]\n36709:      error C2872: 'std': belirsiz simge\n36763:      FAILED: [code=4294967295]\n37667:      error C2872: 'std': belirsiz simge\n37721:      FAILED: [code=4294967295]\n38625:      error C2872: 'std': belirsiz simge\n38679:      FAILED: [code=4294967295]\n39583:      error C2872: 'std': belirsiz simge\n39637:      FAILED: [code=4294967295]\n40541:      error C2872: 'std': belirsiz simge\n40560:      ninja: build stopped: subcommand failed.\n40596:      FAILED: [code=4294967295]\n43786:      error C2872: 'std': belirsiz simge\n43805:      ninja: build stopped: subcommand failed.\n43826:          raise CalledProcessError(retcode, process.args,\n43827:      subprocess.CalledProcessError: Command '['ninja', '-v', '-j', '32']'\n43973:          raise RuntimeError(message) from e\n43974:      RuntimeError: Error compiling objects for extension\n43979:BUILD FAILED! See errors above.","numLines":50},"_audit_timestamp":"2026-04-26T17:11:32.445Z","_audit_hmac":"d55544c432b768a61270f3714ca8af21b7dd765bf432360c9d3b1fc473854632"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01VkqxvbCBEDuspAL7KRDezK","type":"message","role":"assistant","content":[{"type":"text","text":"Asıl hatayı gördüm: `error C2872: 'std': belirsiz simge` (ambiguous symbol). Hatanın tam bağlamına bakayım."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2090,"cache_read_input_tokens":57973,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2090},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"b617adef-9cc3-4820-bcde-83197522b876","_audit_timestamp":"2026-04-26T17:11:37.045Z","_audit_hmac":"a67e34ee0720f259abe297fc3420e28e1d884aab393239898d9dde027d7e6052"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W5caB5boyFSXZa3nqMKjCZ","type":"tool_result","content":"33825\t      '_Z15QuantInt8KernelILj64ELj64ELj1ELb1ELb0E6__halfEvPT4_S2_PaPffjjjjjjjjjjj'\n33826\t      for 'sm_89'\n33827\t      ptxas info    : Function properties for\n33828\t      _Z15QuantInt8KernelILj64ELj64ELj1ELb1ELb0E6__halfEvPT4_S2_PaPffjjjjjjjjjjj\n33829\t          0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads\n33830\t      ptxas info    : Used 26 registers, used 1 barriers, 132 bytes smem, 432\n33831\t      bytes cmem[0]\n33832\t      tmpxft_00003774_00000000-7_fused.cudafe1.cpp\n33833\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\torch/csrc/dynamo/compiled_autograd.h(1135):\n33834\t      error C2872: 'std': belirsiz simge\n33835\t      D:/__sistem__/ProgramFiles/VsStudio/VC/Tools/MSVC/14.44.35207/include\\valarray(20):\n33836\t      note: 'std' olabilirdi\n33837\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\torch/csrc/dynamo/compiled_autograd.h(1135):\n33838\t      note: veya       'std'\n33839\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\torch/csrc/dynamo/compiled_autograd.h(1135):\n33840\t      note: �ablon �rne�i olu�turma ba�lam� (�nce en eski olan)\n33841\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\torch/csrc/dynamo/compiled_autograd.h(1182):\n33842\t      note: derlenen s�n�f �ablon �rne�i olu�turma\n33843\t      'torch::dynamo::autograd::IValuePacker<__int64>' ba�vurusuna bak�n\n33844\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\torch/csrc/dynamo/compiled_autograd.h(1109):\n33845\t      note: s�n�f �ablon �ye i�levi 'c10::TypePtr\n33846\t      torch::dynamo::autograd::IValuePacker<__int64>::packed_type(void)'\n33847\t      derlenirken\n33848\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\torch/csrc/dynamo/compiled_autograd.h(1182):\n33849\t      note: 'torch::dynamo::autograd::IValuePacker<unsigned\n33850\t      __int64>::packed_type' i�inde ilk\n33851\t      'torch::dynamo::autograd::IValuePacker<__int64>::packed_type'\n33852\t      ba�vurusuna bak�n\n33853\t      ninja: build stopped: subcommand failed.\n33854\t      [2/8] C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.6\\bin\\nvcc\n33855\t      --generate-dependencies-with-compile --dependency-output\n33856\t      C:\\Users\\FikoYT\\AppData\\Local\\uv\\cache\\git-v0\\checkouts\\580abc5d78b8eb68\\d1a57a5\\build\\temp.win-amd64-cpython-312\\Release\\sageattention._qattn_sm89\\csrc\\qattn\\sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.obj.d\n33857\t      -std=c++17 -Xcompiler /MD -Xcompiler /wd4819 -Xcompiler /wd4251\n33858\t      -Xcompiler /wd4244 -Xcompiler /wd4267 -Xcompiler /wd4275\n33859\t      -Xcompiler /wd4018 -Xcompiler /wd4190 -Xcompiler /wd4624 -Xcompiler\n33860\t      /wd4067 -Xcompiler /wd4068 -Xcompiler /EHsc --use-local-env\n33861\t      -Xcudafe --diag_suppress=base_class_has_different_dll_interface\n33862\t      -Xcudafe --diag_suppress=field_without_dll_interface -Xcudafe\n33863\t      --diag_suppress=dll_interface_conflict_none_assumed -Xcudafe\n33864\t      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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018UKnaQ9GEydD8WhHJo67q6","type":"tool_result","content":"The file D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"f1c53e92-af60-4b2b-a153-0a07c466bf9e","timestamp":"2026-04-26T17:13:11.817Z","tool_use_result":{"filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","oldString":"REM Required for PyTorch C++ extension builds\nset DISTUTILS_USE_SDK=1","newString":"REM Required for PyTorch C++ extension builds\nset DISTUTILS_USE_SDK=1\n\nREM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions\nset \"CFLAGS=/D_HAS_STD_BYTE=0\"\nset \"CXXFLAGS=/D_HAS_STD_BYTE=0\"\nset \"CUDAFLAGS=-Xcompiler /D_HAS_STD_BYTE=0\"\nset \"CUDAHOSTCXX=cl.exe\"","originalFile":"@echo off\nREM === Dizini kaydet ===\nset \"SCRIPTDIR=%~dp0\"\nset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\necho Log dosyasi: %LOGFILE%\ncall :MAIN > \"%LOGFILE%\" 2>&1\necho.\necho === ISLEM TAMAMLANDI ===\necho Detaylar icin: %LOGFILE%\ntype \"%LOGFILE%\"\necho.\npause\nexit /b\n\n:MAIN\necho Setting up Visual Studio environment...\ncall \"D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Auxiliary\\Build\\vcvars64.bat\"\n\nREM Required for PyTorch C++ extension builds\nset DISTUTILS_USE_SDK=1\n\necho Checking compiler...\nwhere cl.exe\nif errorlevel 1 (\n    echo ERROR: cl.exe not found after environment setup\n    exit /b 1\n)\n\necho.\necho DISTUTILS_USE_SDK=%DISTUTILS_USE_SDK%\necho.\necho Installing SageAttention 2.2.0 from GitHub...\ncd /d \"%SCRIPTDIR%\"\necho Current directory: %cd%\nuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\nuv pip install git+https://github.com/thu-ml/SageAttention.git --no-build-isolation --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n\necho.\nif errorlevel 1 (\n    echo BUILD FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n)\ngoto :eof\n","structuredPatch":[{"oldStart":19,"oldLines":6,"newStart":19,"newLines":12,"lines":[" REM Required for PyTorch C++ extension builds"," set DISTUTILS_USE_SDK=1"," ","+REM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions","+set \"CFLAGS=/D_HAS_STD_BYTE=0\"","+set \"CXXFLAGS=/D_HAS_STD_BYTE=0\"","+set \"CUDAFLAGS=-Xcompiler /D_HAS_STD_BYTE=0\"","+set \"CUDAHOSTCXX=cl.exe\"","+"," echo Checking compiler..."," where cl.exe"," if errorlevel 1 ("]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-26T17:13:11.884Z","_audit_hmac":"ed01fe78cb39fe3f88f4a65fbe3a8aa5e52b95374b98c63b44c05ad2c0c6e62d"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01G8DGGwz2f4SzjQyQqn6aVT","type":"message","role":"assistant","content":[{"type":"text","text":"Hmm, şimdi tam tersi oldu — `_HAS_STD_BYTE=0` std::byte'ı tamamen kaldırdığı için CUDA tarafındaki kod da bozuldu (`namespace \"std\" has no member \"byte\"`). Bu flag hem CUDA hem MSVC'ye geçiyor. CUDA derleyicisi (nvcc frontend) std::byte'a ihtiyaç duyuyor ama MSVC tarafında çakışma var.\n\nFarklı bir çözüm lazım. Hatanın kaynağı `compiled_autograd.h` — bu PyTorch 2.10'daki bir header. Gerçek çözüm: MSVC versiyonunu düşürmek yerine, nvcc'nin kullandığı MSVC'yi sınırlandırmak veya doğrudan sorunu yaratan header'ı patch'lemek."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":483,"cache_read_input_tokens":67853,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":483},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"5c15fc91-ac4b-4299-9d7f-b12842dc262a","_audit_timestamp":"2026-04-26T17:20:18.143Z","_audit_hmac":"9ce6c97a6dc0dd63794a7879791e02cf8c0daca78d33d1f5959816ab2a39e2c8"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015NjWwe5LyFcX58TchKsrig","type":"tool_result","content":"130\t      arch=compute_89,code=sm_89 -DTORCH_API_INCLUDE_EXTENSION_H\n131\t      -DTORCH_EXTENSION_NAME=_qattn_sm89\n132\t      sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.cu\n133\t      cl: Komut sat�r� warning D9025: '/D__CUDA_NO_HALF_OPERATORS__',\n134\t      '/U__CUDA_NO_HALF_OPERATORS__' ile ge�ersiz k�l�n�yor\n135\t      cl: Komut sat�r� warning D9025: '/D__CUDA_NO_HALF_CONVERSIONS__',\n136\t      '/U__CUDA_NO_HALF_CONVERSIONS__' ile ge�ersiz k�l�n�yor\n137\t      sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.cu\n138\t      cl: Komut sat�r� warning D9025: '/D__CUDA_NO_HALF_OPERATORS__',\n139\t      '/U__CUDA_NO_HALF_OPERATORS__' ile ge�ersiz k�l�n�yor\n140\t      cl: Komut sat�r� warning D9025: '/D__CUDA_NO_HALF_CONVERSIONS__',\n141\t      '/U__CUDA_NO_HALF_CONVERSIONS__' ile ge�ersiz k�l�n�yor\n142\t      sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.cu\n143\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\ATen/core/dispatch/Dispatcher.h(731):\n144\t      error: alignas does not apply here\n145\t              alignas(IValue) std::byte boxedArgs[num_boxed_args *\n146\t      sizeof(IValue)];\n147\t              ^\n148\t\n149\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\ATen/core/dispatch/Dispatcher.h(731):\n150\t      error: namespace \"std\" has no member \"byte\"\n151\t              alignas(IValue) std::byte boxedArgs[num_boxed_args *\n152\t      sizeof(IValue)];\n153\t                                   ^\n154\t\n155\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\ATen/core/dispatch/Dispatcher.h(731):\n156\t      error: expected a \";\"\n157\t              alignas(IValue) std::byte boxedArgs[num_boxed_args *\n158\t      sizeof(IValue)];\n159\t                                        ^\n160\t\n161\t      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\ATen/core/dispatch/Dispatcher.h(737):\n162\t      error: namespace \"std\" has no member \"byte\"\n163\t              if (!(reinterpret_cast<std::byte*>(boxedArgsPtr)\n164\t      == boxedArgs + num_boxed_args * sizeof(IValue))) {\n165\t      ::c10::detail::torchInternalAssertFail( __func__,\n166\t      \"D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\\\ATen/core/dispatch/Dispatcher.h\",\n167\t      static_cast<uint32_t>(739),\n168\t      \"reinterpret_cast<std::byte*>(boxedArgsPtr) == boxedArgs +\n169\t      num_boxed_args * sizeof(IValue)\" \" INTERNAL ASSERT FAILED at \""}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"dc7d1da0-4370-4469-93af-5e5e315d1f2b","timestamp":"2026-04-26T17:20:18.899Z","tool_use_result":{"type":"text","file":{"filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention_log.txt","content":"      arch=compute_89,code=sm_89 -DTORCH_API_INCLUDE_EXTENSION_H\n      -DTORCH_EXTENSION_NAME=_qattn_sm89\n      sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.cu\n      cl: Komut sat�r� warning D9025: '/D__CUDA_NO_HALF_OPERATORS__',\n      '/U__CUDA_NO_HALF_OPERATORS__' ile ge�ersiz k�l�n�yor\n      cl: Komut sat�r� warning D9025: '/D__CUDA_NO_HALF_CONVERSIONS__',\n      '/U__CUDA_NO_HALF_CONVERSIONS__' ile ge�ersiz k�l�n�yor\n      sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.cu\n      cl: Komut sat�r� warning D9025: '/D__CUDA_NO_HALF_OPERATORS__',\n      '/U__CUDA_NO_HALF_OPERATORS__' ile ge�ersiz k�l�n�yor\n      cl: Komut sat�r� warning D9025: '/D__CUDA_NO_HALF_CONVERSIONS__',\n      '/U__CUDA_NO_HALF_CONVERSIONS__' ile ge�ersiz k�l�n�yor\n      sm89_qk_int8_sv_f8_accum_f16_attn_inst_buf.cu\n      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\ATen/core/dispatch/Dispatcher.h(731):\n      error: alignas does not apply here\n              alignas(IValue) std::byte boxedArgs[num_boxed_args *\n      sizeof(IValue)];\n              ^\n\n      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\ATen/core/dispatch/Dispatcher.h(731):\n      error: namespace \"std\" has no member \"byte\"\n              alignas(IValue) std::byte boxedArgs[num_boxed_args *\n      sizeof(IValue)];\n                                   ^\n\n      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\ATen/core/dispatch/Dispatcher.h(731):\n      error: expected a \";\"\n              alignas(IValue) std::byte boxedArgs[num_boxed_args *\n      sizeof(IValue)];\n                                        ^\n\n      D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\ATen/core/dispatch/Dispatcher.h(737):\n      error: namespace \"std\" has no member \"byte\"\n              if (!(reinterpret_cast<std::byte*>(boxedArgsPtr)\n      == boxedArgs + num_boxed_args * sizeof(IValue))) {\n      ::c10::detail::torchInternalAssertFail( __func__,\n      \"D:/__sistem__/Masaustu/FikoYT.Yeni.Cag/video-uretim/ltx-desktop-wangp/LTX-Desktop-WanGP/backend/.venv/Lib/site-packages/torch/include\\\\ATen/core/dispatch/Dispatcher.h\",\n      static_cast<uint32_t>(739),\n      \"reinterpret_cast<std::byte*>(boxedArgsPtr) == boxedArgs +\n      num_boxed_args * sizeof(IValue)\" \" INTERNAL ASSERT FAILED at \"","numLines":40,"startLine":130,"totalLines":1291}},"_audit_timestamp":"2026-04-26T17:20:18.949Z","_audit_hmac":"6ff74216a8636f729af63a11d8ed7beab96bf821e8f498948878b72d77e09f75"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01Dm9tQkY4gxi6PicxVDRcD7","type":"message","role":"assistant","content":[{"type":"text","text":"Şimdi net görüyorum. `_HAS_STD_BYTE=0` flag'i `std::byte`'ı tamamen kaldırıyor ama PyTorch'un `Dispatcher.h` header'ı da `std::byte` kullanıyor. Yani bu flag kullanılamaz.\n\nGerçek sorun nvcc'nin CUDA frontend'inde `std` namespace çakışması. Bu flag'i kaldıralım ve bunun yerine sorunu yaratan PyTorch header'ını doğrudan patch'leyelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1544,"cache_read_input_tokens":68336,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1544},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"c0143f24-c05a-43a5-af7d-fa9cba5ac509","_audit_timestamp":"2026-04-26T17:20:24.391Z","_audit_hmac":"85af231ae18230fc7fdd5f16a4f32222a8ae621fb6724f9f0a81bbe3bdd10a21"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TnzAWB9QFsDbaV539Rad1i","type":"tool_result","content":"The file D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"b99e9f69-bcd8-4d31-8455-02b0c65999e1","timestamp":"2026-04-26T17:20:29.223Z","tool_use_result":{"filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","oldString":"REM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions\nREM CL env var is auto-prepended to every cl.exe invocation by MSVC\nset \"CL=/D_HAS_STD_BYTE=0\"\nset \"_CL_=/D_HAS_STD_BYTE=0\"","newString":"REM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions\nREM Patch compiled_autograd.h to add explicit ::std:: qualifier\nset \"TORCH_HEADER=%SCRIPTDIR%.venv\\Lib\\site-packages\\torch\\include\\torch\\csrc\\dynamo\\compiled_autograd.h\"\nif exist \"%TORCH_HEADER%\" (\n    echo Patching compiled_autograd.h for MSVC 14.44 compatibility...\n    powershell -Command \"(Get-Content '%TORCH_HEADER%') -replace 'std::to_string', '::std::to_string' -replace 'std::vector', '::std::vector' -replace 'std::string', '::std::string' -replace ':::std::', '::std::' | Set-Content '%TORCH_HEADER%'\"\n)","originalFile":"@echo off\nREM === Dizini kaydet ===\nset \"SCRIPTDIR=%~dp0\"\nset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\necho Log dosyasi: %LOGFILE%\ncall :MAIN > \"%LOGFILE%\" 2>&1\necho.\necho === ISLEM TAMAMLANDI ===\necho Detaylar icin: %LOGFILE%\ntype \"%LOGFILE%\"\necho.\npause\nexit /b\n\n:MAIN\necho Setting up Visual Studio environment...\ncall \"D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Auxiliary\\Build\\vcvars64.bat\"\n\nREM Required for PyTorch C++ extension builds\nset DISTUTILS_USE_SDK=1\n\nREM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions\nREM CL env var is auto-prepended to every cl.exe invocation by MSVC\nset \"CL=/D_HAS_STD_BYTE=0\"\nset \"_CL_=/D_HAS_STD_BYTE=0\"\n\necho Checking compiler...\nwhere cl.exe\nif errorlevel 1 (\n    echo ERROR: cl.exe not found after environment setup\n    exit /b 1\n)\n\necho.\necho DISTUTILS_USE_SDK=%DISTUTILS_USE_SDK%\necho.\necho Installing SageAttention 2.2.0 from GitHub...\ncd /d \"%SCRIPTDIR%\"\necho Current directory: %cd%\nuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\nuv pip install git+https://github.com/thu-ml/SageAttention.git --no-build-isolation --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n\necho.\nif errorlevel 1 (\n    echo BUILD FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n)\ngoto :eof\n","structuredPatch":[{"oldStart":20,"oldLines":9,"newStart":20,"newLines":12,"lines":[" set DISTUTILS_USE_SDK=1"," "," REM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions","-REM CL env var is auto-prepended to every cl.exe invocation by MSVC","-set \"CL=/D_HAS_STD_BYTE=0\"","-set \"_CL_=/D_HAS_STD_BYTE=0\"","+REM Patch compiled_autograd.h to add explicit ::std:: qualifier","+set \"TORCH_HEADER=%SCRIPTDIR%.venv\\Lib\\site-packages\\torch\\include\\torch\\csrc\\dynamo\\compiled_autograd.h\"","+if exist \"%TORCH_HEADER%\" (","+    echo Patching compiled_autograd.h for MSVC 14.44 compatibility...","+    powershell -Command \"(Get-Content '%TORCH_HEADER%') -replace 'std::to_string', '::std::to_string' -replace 'std::vector', '::std::vector' -replace 'std::string', '::std::string' -replace ':::std::', '::std::' | Set-Content '%TORCH_HEADER%'\"","+)"," "," echo Checking compiler..."," where cl.exe"]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-26T17:20:29.264Z","_audit_hmac":"ae66973a1ddc8d9eb81090884ecfa2f67be84cf7290a9000a9248e43f0d04ab7"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01NFyZ8KsVRsTzdKdXXNHzfx","type":"message","role":"assistant","content":[{"type":"text","text":"Aslında dur — bu yaklaşım çok kırılgan. Hatanın tam satırını görelim ve doğrudan o header dosyasını düzeltelim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":816,"cache_read_input_tokens":69880,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":816},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"d503786d-795d-4d5f-8398-ddeabf752421","_audit_timestamp":"2026-04-26T17:20:33.409Z","_audit_hmac":"f7581b272b6f5c266e5ff957983a249c8e03a00d57740fe71947dc7de27d8400"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016F9K5E7wxZM3GAtMMLoTih","type":"tool_result","content":"1125\t    } else if constexpr (::std::is_same_v<T, bool>) {\n1126\t      return at::BoolType::get();\n1127\t    } else if constexpr (::std::is_same_v<T, double>) {\n1128\t      return at::FloatType::get();\n1129\t    } else if constexpr (::std::is_same_v<T, c10::SymFloat>) {\n1130\t      return at::SymFloatType::get();\n1131\t    } else if constexpr (::std::is_same_v<T, c10::SymBool>) {\n1132\t      return at::SymBoolType::get();\n1133\t    } else if constexpr (::std::is_same_v<T, c10::Layout>) {\n1134\t      return at::LayoutType::get();\n1135\t    } else if constexpr (::std::is_same_v<T, ::std::string>) {\n1136\t      return at::StringType::get();\n1137\t    } else if constexpr (::std::is_same_v<T, at::Device>) {\n1138\t      return at::DeviceObjType::get();\n1139\t    } else if constexpr (::std::is_same_v<T, at::Scalar>) {\n1140\t      return at::NumberType::get();\n1141\t    } else if constexpr (::std::is_same_v<T, at::MemoryFormat>) {\n1142\t      return at::MemoryFormatType::get();\n1143\t    } else if constexpr (::std::is_same_v<T, at::ScalarType>) {\n1144\t      return at::ScalarTypeType::get();\n1145\t    } else {\n1146\t      // If you got here, you have probably added a member of a new type\n1147\t      // to a built-in C++ autograd node.\n1148\t      // Unfortunately, we don't know how to handle this type yet.\n1149\t      // To get this new type to work with Compiled Autograd, please\n1150\t      // either change it to be an IValue-constructible type, or\n1151\t      // define how to pack and unpack an object of this time into an IValue\n1152\t      // by creating a specialization of IValuePacker for this type.\n1153\t      // See NOTE: [Compiled Autograd and backward functions] for context.\n1154\t      TORCH_CHECK_NOT_IMPLEMENTED("}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"16df2e38-cf0a-4145-bbb3-d440db96bdbe","timestamp":"2026-04-26T17:20:34.202Z","tool_use_result":{"type":"text","file":{"filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\include\\torch\\csrc\\dynamo\\compiled_autograd.h","content":"    } else if constexpr (::std::is_same_v<T, bool>) {\n      return at::BoolType::get();\n    } else if constexpr (::std::is_same_v<T, double>) {\n      return at::FloatType::get();\n    } else if constexpr (::std::is_same_v<T, c10::SymFloat>) {\n      return at::SymFloatType::get();\n    } else if constexpr (::std::is_same_v<T, c10::SymBool>) {\n      return at::SymBoolType::get();\n    } else if constexpr (::std::is_same_v<T, c10::Layout>) {\n      return at::LayoutType::get();\n    } else if constexpr (::std::is_same_v<T, ::std::string>) {\n      return at::StringType::get();\n    } else if constexpr (::std::is_same_v<T, at::Device>) {\n      return at::DeviceObjType::get();\n    } else if constexpr (::std::is_same_v<T, at::Scalar>) {\n      return at::NumberType::get();\n    } else if constexpr (::std::is_same_v<T, at::MemoryFormat>) {\n      return at::MemoryFormatType::get();\n    } else if constexpr (::std::is_same_v<T, at::ScalarType>) {\n      return at::ScalarTypeType::get();\n    } else {\n      // If you got here, you have probably added a member of a new type\n      // to a built-in C++ autograd node.\n      // Unfortunately, we don't know how to handle this type yet.\n      // To get this new type to work with Compiled Autograd, please\n      // either change it to be an IValue-constructible type, or\n      // define how to pack and unpack an object of this time into an IValue\n      // by creating a specialization of IValuePacker for this type.\n      // See NOTE: [Compiled Autograd and backward functions] for context.\n      TORCH_CHECK_NOT_IMPLEMENTED(","numLines":30,"startLine":1125,"totalLines":1567}},"_audit_timestamp":"2026-04-26T17:20:34.232Z","_audit_hmac":"6859b9b73717ebf51d4267627c5680403e4249dcf0b236abb51ebf2312eabd73"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01BdHqdUW92snvpFPsFJuQ6V","type":"message","role":"assistant","content":[{"type":"text","text":"Bu dosya zaten `::std::` kullanıyor — bu muhtemelen önceki patch'ten. Asıl ilk çalıştırılan log'daki hataya tekrar bakalım — hata satırı 1135'teydi. Şimdi ilk log'daki gibi `std::to_string` var mıydı kontrol edeyim. Ama asıl sorun `compiled_autograd.h` değil, nvcc'nin CUDA frontend'inde oluşan bir sorun. \n\nDaha doğru yaklaşım: nvcc'nin MSVC versiyonunu algılayıp sorun çıkardığı yerde, `--allow-unsupported-compiler` kullanmak ve eski MSVC uyumlu bir toolset ile derlemek. Ama en pratik çözüm: **SageAttention'ı kaynak koddan derlemek yerine önceden derlenmiş bir wheel kullanmak.**"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":849,"cache_read_input_tokens":70696,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":849},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"e5c58ee0-3098-4b61-97a6-9b7827337554","_audit_timestamp":"2026-04-26T17:20:45.878Z","_audit_hmac":"10b5bba29360a766115e89ac78a2c8cf8c58994d716bac1d6e1a3eeb050dd7ee"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UFgnYqVFkZ7vrWJYZiky4r","type":"tool_result","content":"Web search results for query: \"wildminder AI-windows-whl SageAttention torch210 cu128 cp312\"\n\nLinks: [{\"title\":\"GitHub - wildminder/AI-windows-whl: Pre-compiled Python whl for Flash-attention, SageAttention, NATTEN, xFormer etc · GitHub\",\"url\":\"https://github.com/wildminder/AI-windows-whl\"},{\"title\":\"Wildminder/AI-windows-whl at main\",\"url\":\"https://huggingface.co/Wildminder/AI-windows-whl/tree/main\"},{\"title\":\"sageattention-2.2.0+cu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl · Wildminder/AI-windows-whl at main\",\"url\":\"https://huggingface.co/Wildminder/AI-windows-whl/blob/main/sageattention-2.2.0+cu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\"},{\"title\":\"Commits · Wildminder/AI-windows-whl\",\"url\":\"https://huggingface.co/Wildminder/AI-windows-whl/commits/main\"},{\"title\":\"Releases · sdbds/SageAttention-for-windows\",\"url\":\"https://github.com/sdbds/SageAttention-for-windows/releases\"},{\"title\":\"sageattention-2.1.1+cu128torch2.8.0-cp312-cp312-win_amd64.whl · Wildminder/AI-windows-whl at main\",\"url\":\"https://huggingface.co/Wildminder/AI-windows-whl/blob/main/sageattention-2.1.1+cu128torch2.8.0-cp312-cp312-win_amd64.whl\"},{\"title\":\"sageattention-2.2.0.post3+cu128torch2.8.0-cp313-cp313-win_amd64.whl · Wildminder/AI-windows-whl at main\",\"url\":\"https://huggingface.co/Wildminder/AI-windows-whl/blob/main/sageattention-2.2.0.post3+cu128torch2.8.0-cp313-cp313-win_amd64.whl\"},{\"title\":\"flash,sage for p313,t210,cu130 · Wildminder/AI-windows-whl at 8cb0e73\",\"url\":\"https://huggingface.co/Wildminder/AI-windows-whl/commit/8cb0e739a2a2b3462d0f182c009c066f36b3ab6c\"},{\"title\":\"sageattention-2.2.0+cu128torch2.8.0-cp313-cp313-win_amd64.whl · Wildminder/AI-windows-whl at 8cb0e739a2a2b3462d0f182c009c066f36b3ab6c\",\"url\":\"https://huggingface.co/Wildminder/AI-windows-whl/blob/8cb0e739a2a2b3462d0f182c009c066f36b3ab6c/sageattention-2.2.0+cu128torch2.8.0-cp313-cp313-win_amd64.whl\"},{\"title\":\"AI-windows-whl/README.md at main · wildminder/AI-windows-whl\",\"url\":\"https://github.com/wildminder/AI-windows-whl/blob/main/README.md\"}]\n\nBased on the search results, I found information about your query:\n\nThe wildminder/AI-windows-whl repository provides pre-compiled Python wheels for Flash-attention, SageAttention, NATTEN, xFormer and other packages.\n\nThe search results show that there are various SageAttention wheel files available, including ones for different PyTorch and CUDA versions, such as sageattention-2.1.1+cu126torch2.6.0-cp312-cp312-win_amd64.whl and sageattention-2.2.0.post3+cu128torch2.10.0-cp312-cp312-win_amd64.whl.\n\nWhile I found references to SageAttention wheels with cu128 (CUDA 12.8) and cp312 (Python 3.12) configurations in the repository, the specific package you mentioned with torch210 (PyTorch 2.10) appears to be available. To install a specific wheel, you should find the package matching your environment (Python, PyTorch, CUDA version) and copy the link for the pip install command.\n\nThe wheels are hosted on both GitHub and HuggingFace, and the repository is simply a collection of links to pre-compiled binaries that can be installed via pip.\n\n\nREMINDER: You MUST include the sources above in your response to the user using markdown hyperlinks."}]},"parent_tool_use_id":"toolu_01UzxchKJMZzTD3psNubjbnr","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"a25d90ae-392c-4e3e-8920-c3bc21d3f60e","timestamp":"2026-04-26T17:22:00.783Z","_audit_timestamp":"2026-04-26T17:22:00.784Z","_audit_hmac":"081adedd63efa29ed8327e71dc722194b8bcf1f8ccecaee81ce675bc7a46c644"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U3EFmN1Z2evVdsKxQ9Yfam","type":"tool_result","content":"Web search results for query: \"woct0rdho SageAttention releases torch 2.10 cu128 Windows whl 2025\"\n\nLinks: [{\"title\":\"Releases · sdbds/SageAttention-for-windows\",\"url\":\"https://github.com/sdbds/SageAttention-for-windows/releases\"},{\"title\":\"The DIY forge - AI content Tutorials and Coding - How to install SageAttention2 on a Windows system with ComfyUI?\",\"url\":\"https://m14w.com/index.php/list/56-how-to-install-sageattention2-on-a-windows-system-with-comfyui\"},{\"title\":\"Releases · woct0rdho/SageAttention\",\"url\":\"https://github.com/woct0rdho/SageAttention/releases\"},{\"title\":\"OK Setting Up SageAttention with PyTorch 2.10 + CUDA 13 on Windows 11 with Python 3.12 · Issue #1480 · deepbeepmeep/Wan2GP\",\"url\":\"https://github.com/deepbeepmeep/Wan2GP/issues/1480\"},{\"title\":\"GitHub - wildminder/AI-windows-whl: Pre-compiled Python whl for Flash-attention, SageAttention, NATTEN, xFormer etc · GitHub\",\"url\":\"https://github.com/wildminder/AI-windows-whl\"},{\"title\":\"Install Triton & SageAttention on Windows (RTX 50 Series)\",\"url\":\"https://www.kombitz.com/2025/08/15/install-triton-and-sageattention-on-windows-rtx-50-series/\"},{\"title\":\"Phr00t/WAN2.2-14B-Rapid-AllInOne · Wan animate\",\"url\":\"https://huggingface.co/Phr00t/WAN2.2-14B-Rapid-AllInOne/discussions/158\"},{\"title\":\"GitHub - woct0rdho/SageAttention: Fork of SageAttention for Windows wheels and easy installation · GitHub\",\"url\":\"https://github.com/woct0rdho/SageAttention\"},{\"title\":\"Release v2.2.0-windows · woct0rdho/SageAttention\",\"url\":\"https://github.com/woct0rdho/SageAttention/releases/tag/v2.2.0-windows\"},{\"title\":\"Incompatible with PyTorch 2.9.0.dev20250813+cu128? 5060ti · Issue #242 · thu-ml/SageAttention\",\"url\":\"https://github.com/thu-ml/SageAttention/issues/242\"}]\n\nBased on the search results, I found information related to your query about SageAttention releases with PyTorch 2.10 and CUDA 12.8 Windows wheels.\n\nThe woct0rdho/SageAttention repository is a fork of SageAttention for Windows wheels and easy installation. Installation instructions are located in the README on the GitHub repository, and the release page contains changelogs.\n\nRegarding PyTorch 2.10 compatibility with CUDA 12.8 (cu128):\n\nThe SageAttention wheel mentions torch2.9.0andhigher but is fully compatible with PyTorch 2.10 + CUDA 13. This is because it uses ABI3 + stable libtorch, so it works across Python ≥3.9 and PyTorch ≥2.9.\n\nWhen installing, you need to manually choose a wheel from the GitHub release page for your PyTorch version - the torch minor version (2.6/2.7, etc.) must be correct, though the patch version can differ from yours.\n\nFor specific wheel files with PyTorch 2.10 and cu128, you can find them directly on the GitHub releases page at https://github.com/woct0rdho/SageAttention.\n\n\nREMINDER: You MUST include the sources above in your response to the user using markdown hyperlinks."}]},"parent_tool_use_id":"toolu_01UzxchKJMZzTD3psNubjbnr","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"fd311c61-8c86-44b3-9d83-88c9b62b8e4a","timestamp":"2026-04-26T17:22:01.420Z","_audit_timestamp":"2026-04-26T17:22:01.422Z","_audit_hmac":"00461f98edb510476e6086f56d26466b9a8a9a4ead515e5053e6f5b67dde7107"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UzxchKJMZzTD3psNubjbnr","type":"tool_result","content":[{"type":"text","text":"Here is what I found:\n\n**Prebuilt wheels DO exist for your exact configuration (Python 3.12, CUDA 12.8, Windows x86_64), but with a PyTorch version caveat.**\n\n**Best match found — Wildminder/AI-windows-whl on HuggingFace:**\n\n- `sageattention-2.2.0+cu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl` — SageAttention 2.2.0, CUDA 12.8, PyTorch 2.9.0, Python 3.12, Windows\n- `sageattention-2.1.1+cu128torch2.8.0-cp312-cp312-win_amd64.whl` — older version, torch 2.8\n\n**PyTorch 2.10 specifically:** The search surfaced a commit labeled \"flash,sage for p313,t210,cu130\" suggesting torch 2.10 wheels exist but target CUDA 13.0, not 12.8. A `torch2.10+cu128+cp312` wheel was not explicitly confirmed as available at time of writing (April 2026). **The torch 2.9.0+cu128+cp312 wheel is the closest confirmed match.**\n\n**Recommendations:**\n1. Try the `cu128torch2.9.0` wheel — the woct0rdho fork uses ABI3/stable libtorch, meaning it is often compatible across minor PyTorch versions (2.9+).\n2. Check https://huggingface.co/Wildminder/AI-windows-whl/tree/main for any newer torch 2.10 uploads.\n3. Also check https://github.com/woct0rdho/SageAttention/releases for the latest Windows releases.\n\n**PyPI has no prebuilt Windows wheels** — source-only distribution requiring a CUDA compiler.\n\nSources:\n- [Wildminder/AI-windows-whl on HuggingFace](https://huggingface.co/Wildminder/AI-windows-whl/tree/main)\n- [wildminder/AI-windows-whl on GitHub](https://github.com/wildminder/AI-windows-whl)\n- [woct0rdho/SageAttention releases](https://github.com/woct0rdho/SageAttention/releases)\n- [SageAttention 2.2.0+cu128torch2.9.0 cp312 wheel](https://huggingface.co/Wildminder/AI-windows-whl/blob/main/sageattention-2.2.0+cu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl)"},{"type":"text","text":"agentId: a641d609a5ea16384 (use SendMessage with to: 'a641d609a5ea16384' to continue this agent)\n<usage>total_tokens: 21649\ntool_uses: 14\nduration_ms: 85685</usage>"}]}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"1b80c11a-a77b-415f-add4-9aa539cedb45","timestamp":"2026-04-26T17:22:12.894Z","tool_use_result":{"status":"completed","prompt":"Search the web for: SageAttention 2 prebuilt wheel Windows PyTorch 2.10 CUDA 12.8 Python 3.12\n\nI need to find if there are prebuilt binary wheels (.whl files) available for SageAttention 2 that work on Windows with:\n- Python 3.12\n- PyTorch 2.10\n- CUDA 12.8\n- Windows x86_64\n\nCheck PyPI, GitHub releases page (https://github.com/thu-ml/SageAttention), and any other sources. Report what you find in under 200 words.","agentId":"a641d609a5ea16384","agentType":"general-purpose","content":[{"type":"text","text":"Here is what I found:\n\n**Prebuilt wheels DO exist for your exact configuration (Python 3.12, CUDA 12.8, Windows x86_64), but with a PyTorch version caveat.**\n\n**Best match found — Wildminder/AI-windows-whl on HuggingFace:**\n\n- `sageattention-2.2.0+cu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl` — SageAttention 2.2.0, CUDA 12.8, PyTorch 2.9.0, Python 3.12, Windows\n- `sageattention-2.1.1+cu128torch2.8.0-cp312-cp312-win_amd64.whl` — older version, torch 2.8\n\n**PyTorch 2.10 specifically:** The search surfaced a commit labeled \"flash,sage for p313,t210,cu130\" suggesting torch 2.10 wheels exist but target CUDA 13.0, not 12.8. A `torch2.10+cu128+cp312` wheel was not explicitly confirmed as available at time of writing (April 2026). **The torch 2.9.0+cu128+cp312 wheel is the closest confirmed match.**\n\n**Recommendations:**\n1. Try the `cu128torch2.9.0` wheel — the woct0rdho fork uses ABI3/stable libtorch, meaning it is often compatible across minor PyTorch versions (2.9+).\n2. Check https://huggingface.co/Wildminder/AI-windows-whl/tree/main for any newer torch 2.10 uploads.\n3. Also check https://github.com/woct0rdho/SageAttention/releases for the latest Windows releases.\n\n**PyPI has no prebuilt Windows wheels** — source-only distribution requiring a CUDA compiler.\n\nSources:\n- [Wildminder/AI-windows-whl on HuggingFace](https://huggingface.co/Wildminder/AI-windows-whl/tree/main)\n- [wildminder/AI-windows-whl on GitHub](https://github.com/wildminder/AI-windows-whl)\n- [woct0rdho/SageAttention releases](https://github.com/woct0rdho/SageAttention/releases)\n- [SageAttention 2.2.0+cu128torch2.9.0 cp312 wheel](https://huggingface.co/Wildminder/AI-windows-whl/blob/main/sageattention-2.2.0+cu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl)"}],"totalDurationMs":85685,"totalTokens":21649,"totalToolUseCount":14,"usage":{"input_tokens":1242,"cache_creation_input_tokens":1129,"cache_read_input_tokens":18606,"output_tokens":672,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1129,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[{"input_tokens":1242,"output_tokens":672,"cache_read_input_tokens":18606,"cache_creation_input_tokens":1129,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1129},"type":"message"}],"speed":"standard"},"toolStats":{"readCount":4,"searchCount":4,"bashCount":0,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":6}},"_audit_timestamp":"2026-04-26T17:22:12.896Z","_audit_hmac":"af8d83d9a5af9980cf299f44d13371dce5dbe5a886fab3bf4140c49f2f9cce36"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01RPcmc8Joo8VfwXM9qmtEk2","type":"message","role":"assistant","content":[{"type":"text","text":"Kaynak koddan derleme MSVC 14.44 ile çok sorunlu. Daha pratik bir çözüm buldum: **önceden derlenmiş wheel dosyası** kullanmak.\n\nHuggingFace'te tam sizin konfigürasyonunuza yakın bir wheel var:\n- `sageattention-2.2.0+cu128torch2.9.0` — CUDA 12.8, Python 3.12, Windows x64\n\nPyTorch 2.10 ile de uyumlu olma ihtimali yüksek (aynı ABI). Bat dosyasını bu wheel'i kullanacak şekilde güncelleyeyim:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1226,"cache_read_input_tokens":71545,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1226},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"c38a0941-2c3c-4c3d-a261-f9478d95950d","_audit_timestamp":"2026-04-26T17:22:20.613Z","_audit_hmac":"1b908d68329d6ace6d8e2d816b49a1f67d2e64f2ddf4f4f50b62a214411d4075"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01RPcmc8Joo8VfwXM9qmtEk2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CyUho1rN7NcqSjJ9s4RqXs","name":"Read","input":{"file_path":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1226,"cache_read_input_tokens":71545,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1226},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"95384ef7-b4fe-44e0-901a-55fbdbe0581d","_audit_timestamp":"2026-04-26T17:22:21.049Z","_audit_hmac":"3d275c676737b543b34a8bdad8d942f0325c22d574ee910b49d6ac58384a513f"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CyUho1rN7NcqSjJ9s4RqXs","type":"tool_result","content":"1\t@echo off\n2\tREM === Dizini kaydet ===\n3\tset \"SCRIPTDIR=%~dp0\"\n4\tset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\n5\techo Log dosyasi: %LOGFILE%\n6\tcall :MAIN > \"%LOGFILE%\" 2>&1\n7\techo.\n8\techo === ISLEM TAMAMLANDI ===\n9\techo Detaylar icin: %LOGFILE%\n10\ttype \"%LOGFILE%\"\n11\techo.\n12\tpause\n13\texit /b\n14\t\n15\t:MAIN\n16\techo Setting up Visual Studio environment...\n17\tcall \"D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Auxiliary\\Build\\vcvars64.bat\"\n18\t\n19\tREM Required for PyTorch C++ extension builds\n20\tset DISTUTILS_USE_SDK=1\n21\t\n22\tREM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions\n23\tREM Patch compiled_autograd.h to add explicit ::std:: qualifier\n24\tset \"TORCH_HEADER=%SCRIPTDIR%.venv\\Lib\\site-packages\\torch\\include\\torch\\csrc\\dynamo\\compiled_autograd.h\"\n25\tif exist \"%TORCH_HEADER%\" (\n26\t    echo Patching compiled_autograd.h for MSVC 14.44 compatibility...\n27\t    powershell -Command \"(Get-Content '%TORCH_HEADER%') -replace 'std::to_string', '::std::to_string' -replace 'std::vector', '::std::vector' -replace 'std::string', '::std::string' -replace ':::std::', '::std::' | Set-Content '%TORCH_HEADER%'\"\n28\t)\n29\t\n30\techo Checking compiler...\n31\twhere cl.exe\n32\tif errorlevel 1 (\n33\t    echo ERROR: cl.exe not found after environment setup\n34\t    exit /b 1\n35\t)\n36\t\n37\techo.\n38\techo DISTUTILS_USE_SDK=%DISTUTILS_USE_SDK%\n39\techo.\n40\techo Installing SageAttention 2.2.0 from GitHub...\n41\tcd /d \"%SCRIPTDIR%\"\n42\techo Current directory: %cd%\n43\tuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\n44\tuv pip install git+https://github.com/thu-ml/SageAttention.git --no-build-isolation --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n45\t\n46\techo.\n47\tif errorlevel 1 (\n48\t    echo BUILD FAILED! See errors above.\n49\t) else (\n50\t    echo SUCCESS! SageAttention 2.2.0 installed.\n51\t)\n52\tgoto :eof\n53\t"}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"ad6c0c0d-7a8d-44ec-a1f0-cced683415db","timestamp":"2026-04-26T17:22:21.054Z","tool_use_result":{"type":"text","file":{"filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","content":"@echo off\nREM === Dizini kaydet ===\nset \"SCRIPTDIR=%~dp0\"\nset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\necho Log dosyasi: %LOGFILE%\ncall :MAIN > \"%LOGFILE%\" 2>&1\necho.\necho === ISLEM TAMAMLANDI ===\necho Detaylar icin: %LOGFILE%\ntype \"%LOGFILE%\"\necho.\npause\nexit /b\n\n:MAIN\necho Setting up Visual Studio environment...\ncall \"D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Auxiliary\\Build\\vcvars64.bat\"\n\nREM Required for PyTorch C++ extension builds\nset DISTUTILS_USE_SDK=1\n\nREM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions\nREM Patch compiled_autograd.h to add explicit ::std:: qualifier\nset \"TORCH_HEADER=%SCRIPTDIR%.venv\\Lib\\site-packages\\torch\\include\\torch\\csrc\\dynamo\\compiled_autograd.h\"\nif exist \"%TORCH_HEADER%\" (\n    echo Patching compiled_autograd.h for MSVC 14.44 compatibility...\n    powershell -Command \"(Get-Content '%TORCH_HEADER%') -replace 'std::to_string', '::std::to_string' -replace 'std::vector', '::std::vector' -replace 'std::string', '::std::string' -replace ':::std::', '::std::' | Set-Content '%TORCH_HEADER%'\"\n)\n\necho Checking compiler...\nwhere cl.exe\nif errorlevel 1 (\n    echo ERROR: cl.exe not found after environment setup\n    exit /b 1\n)\n\necho.\necho DISTUTILS_USE_SDK=%DISTUTILS_USE_SDK%\necho.\necho Installing SageAttention 2.2.0 from GitHub...\ncd /d \"%SCRIPTDIR%\"\necho Current directory: %cd%\nuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\nuv pip install git+https://github.com/thu-ml/SageAttention.git --no-build-isolation --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n\necho.\nif errorlevel 1 (\n    echo BUILD FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n)\ngoto :eof\n","numLines":53,"startLine":1,"totalLines":53}},"_audit_timestamp":"2026-04-26T17:22:21.090Z","_audit_hmac":"fef90d5b17477040d429a8b6b60f99a77fd90b26b8cb25b31550baececcd4da4"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_013r4J8xxDx53ATbgXswwwFK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012hNfxRx38YAGcknctNQvbn","name":"Write","input":{"file_path":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","content":"@echo off\nREM === Dizini kaydet ===\nset \"SCRIPTDIR=%~dp0\"\nset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\necho Log dosyasi: %LOGFILE%\ncall :MAIN > \"%LOGFILE%\" 2>&1\necho.\necho === ISLEM TAMAMLANDI ===\necho Detaylar icin: %LOGFILE%\ntype \"%LOGFILE%\"\necho.\npause\nexit /b\n\n:MAIN\necho ============================================\necho  SageAttention 2.2.0 Prebuilt Wheel Install\necho ============================================\necho.\n\ncd /d \"%SCRIPTDIR%\"\necho Current directory: %cd%\n\necho Uninstalling old sageattention...\nuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\n\necho.\necho Installing SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...\nuv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n\necho.\nif errorlevel 1 (\n    echo INSTALL FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n    echo Verifying...\n    \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" -c \"import sageattention; print('SageAttention imported OK')\"\n)\ngoto :eof\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1046,"cache_read_input_tokens":72771,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1046},"output_tokens":73,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"c3193246-5777-476a-bfa2-0dc42cb78c4a","_audit_timestamp":"2026-04-26T17:22:28.757Z","_audit_hmac":"048abbce100abb451daf7dce84ef8554e9e2069ae09370ce049d83f3294591e2"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012hNfxRx38YAGcknctNQvbn","type":"tool_result","content":"The file D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"dd626a4c-215b-485a-8c4a-bce03c37d6d6","timestamp":"2026-04-26T17:22:28.769Z","tool_use_result":{"type":"update","filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","content":"@echo off\nREM === Dizini kaydet ===\nset \"SCRIPTDIR=%~dp0\"\nset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\necho Log dosyasi: %LOGFILE%\ncall :MAIN > \"%LOGFILE%\" 2>&1\necho.\necho === ISLEM TAMAMLANDI ===\necho Detaylar icin: %LOGFILE%\ntype \"%LOGFILE%\"\necho.\npause\nexit /b\n\n:MAIN\necho ============================================\necho  SageAttention 2.2.0 Prebuilt Wheel Install\necho ============================================\necho.\n\ncd /d \"%SCRIPTDIR%\"\necho Current directory: %cd%\n\necho Uninstalling old sageattention...\nuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\n\necho.\necho Installing SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...\nuv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n\necho.\nif errorlevel 1 (\n    echo INSTALL FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n    echo Verifying...\n    \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" -c \"import sageattention; print('SageAttention imported OK')\"\n)\ngoto :eof\n","structuredPatch":[{"oldStart":13,"oldLines":40,"newStart":13,"newLines":27,"lines":[" exit /b"," "," :MAIN","-echo Setting up Visual Studio environment...","-call \"D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Auxiliary\\Build\\vcvars64.bat\"","-","-REM Required for PyTorch C++ extension builds","-set DISTUTILS_USE_SDK=1","-","-REM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions","-REM Patch compiled_autograd.h to add explicit ::std:: qualifier","-set \"TORCH_HEADER=%SCRIPTDIR%.venv\\Lib\\site-packages\\torch\\include\\torch\\csrc\\dynamo\\compiled_autograd.h\"","-if exist \"%TORCH_HEADER%\" (","-    echo Patching compiled_autograd.h for MSVC 14.44 compatibility...","-    powershell -Command \"(Get-Content '%TORCH_HEADER%') -replace 'std::to_string', '::std::to_string' -replace 'std::vector', '::std::vector' -replace 'std::string', '::std::string' -replace ':::std::', '::std::' | Set-Content '%TORCH_HEADER%'\"","-)","-","-echo Checking compiler...","-where cl.exe","-if errorlevel 1 (","-    echo ERROR: cl.exe not found after environment setup","-    exit /b 1","-)","-","+echo ============================================","+echo  SageAttention 2.2.0 Prebuilt Wheel Install","+echo ============================================"," echo.","-echo DISTUTILS_USE_SDK=%DISTUTILS_USE_SDK%","-echo.","-echo Installing SageAttention 2.2.0 from GitHub...","+"," cd /d \"%SCRIPTDIR%\""," echo Current directory: %cd%","+","+echo Uninstalling old sageattention..."," uv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul","-uv pip install git+https://github.com/thu-ml/SageAttention.git --no-build-isolation --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\""," "," echo.","+echo Installing SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...","+uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","+","+echo."," if errorlevel 1 (","-    echo BUILD FAILED! See errors above.","+    echo INSTALL FAILED! See errors above."," ) else (","     echo SUCCESS! SageAttention 2.2.0 installed.","+    echo Verifying...","+    \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" -c \"import sageattention; print('SageAttention imported OK')\""," )"," goto :eof"]}],"originalFile":"@echo off\nREM === Dizini kaydet ===\nset \"SCRIPTDIR=%~dp0\"\nset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\necho Log dosyasi: %LOGFILE%\ncall :MAIN > \"%LOGFILE%\" 2>&1\necho.\necho === ISLEM TAMAMLANDI ===\necho Detaylar icin: %LOGFILE%\ntype \"%LOGFILE%\"\necho.\npause\nexit /b\n\n:MAIN\necho Setting up Visual Studio environment...\ncall \"D:\\__sistem__\\ProgramFiles\\VsStudio\\VC\\Auxiliary\\Build\\vcvars64.bat\"\n\nREM Required for PyTorch C++ extension builds\nset DISTUTILS_USE_SDK=1\n\nREM Fix MSVC 14.44+ 'std' ambiguous symbol error with PyTorch/CUDA extensions\nREM Patch compiled_autograd.h to add explicit ::std:: qualifier\nset \"TORCH_HEADER=%SCRIPTDIR%.venv\\Lib\\site-packages\\torch\\include\\torch\\csrc\\dynamo\\compiled_autograd.h\"\nif exist \"%TORCH_HEADER%\" (\n    echo Patching compiled_autograd.h for MSVC 14.44 compatibility...\n    powershell -Command \"(Get-Content '%TORCH_HEADER%') -replace 'std::to_string', '::std::to_string' -replace 'std::vector', '::std::vector' -replace 'std::string', '::std::string' -replace ':::std::', '::std::' | Set-Content '%TORCH_HEADER%'\"\n)\n\necho Checking compiler...\nwhere cl.exe\nif errorlevel 1 (\n    echo ERROR: cl.exe not found after environment setup\n    exit /b 1\n)\n\necho.\necho DISTUTILS_USE_SDK=%DISTUTILS_USE_SDK%\necho.\necho Installing SageAttention 2.2.0 from GitHub...\ncd /d \"%SCRIPTDIR%\"\necho Current directory: %cd%\nuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\nuv pip install git+https://github.com/thu-ml/SageAttention.git --no-build-isolation --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n\necho.\nif errorlevel 1 (\n    echo BUILD FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n)\ngoto :eof\n","userModified":false},"_audit_timestamp":"2026-04-26T17:22:28.787Z","_audit_hmac":"90983ae38451b25dcc46400e1362f825420bf0396186bffee5b09638d13ad07f"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01Mw6DnbBmsR1J4V66KSKxCz","type":"message","role":"assistant","content":[{"type":"text","text":"Bat dosyasını tamamen değiştirdim. Artık kaynak koddan derleme yerine **HuggingFace'ten önceden derlenmiş wheel** indirip kuruyor. Visual Studio'ya bile gerek yok.\n\nTekrar çalıştırın — bu sefer çok daha hızlı olacak (sadece indirip kuracak, derleme yok)."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":670,"cache_read_input_tokens":73817,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":670},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"106e5a1e-f3b6-4b2f-8d16-0ee25c560d6e","_audit_timestamp":"2026-04-26T17:22:33.404Z","_audit_hmac":"83f077bf539e49d67c48833c3533929866951bd6114e7fc5593473de977953bc"}
{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":149623,"duration_api_ms":153419,"num_turns":8,"result":"Bat dosyasını tamamen değiştirdim. Artık kaynak koddan derleme yerine **HuggingFace'ten önceden derlenmiş wheel** indirip kuruyor. Visual Studio'ya bile gerek yok.\n\nTekrar çalıştırın — bu sefer çok daha hızlı olacak (sadece indirip kuracak, derleme yok).","stop_reason":"end_turn","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","total_cost_usd":0.6776677999999999,"usage":{"input_tokens":10,"cache_creation_input_tokens":6789,"cache_read_input_tokens":562596,"output_tokens":2832,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":6789,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":105,"cache_read_input_tokens":73817,"cache_creation_input_tokens":670,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":670},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-opus-4-6":{"inputTokens":10,"outputTokens":2832,"cacheReadInputTokens":562596,"cacheCreationInputTokens":6789,"webSearchRequests":0,"costUSD":0.39457924999999994,"contextWindow":200000,"maxOutputTokens":64000},"claude-sonnet-4-6":{"inputTokens":1256,"outputTokens":4070,"cacheReadInputTokens":152151,"cacheCreationInputTokens":20294,"webSearchRequests":0,"costUSD":0.1865658,"contextWindow":200000,"maxOutputTokens":32000},"claude-haiku-4-5-20251001":{"inputTokens":7144,"outputTokens":1357,"cacheReadInputTokens":0,"cacheCreationInputTokens":42075,"webSearchRequests":3,"costUSD":0.09652275,"contextWindow":200000,"maxOutputTokens":32000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"701e7f3d-3bb4-4cf9-bee0-c07e2315cec8","_audit_timestamp":"2026-04-26T17:22:33.472Z","_audit_hmac":"00cec5b6c9ea875127dcdc6d7b85b561f5fb0a601759025691f5ee5ae697811e"}
{"type":"user","uuid":"ebbac41e-43e6-452e-a5ba-f746afbd826f","session_id":"ff115914-170f-4294-bdec-fb8c891f0969","parent_tool_use_id":null,"client_platform":"desktop_app","message":{"role":"user","content":"=== ISLEM TAMAMLANDI ===\nDetaylar icin: D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention_log.txt\n============================================\n SageAttention 2.2.0 Prebuilt Wheel Install\n============================================\nCurrent directory: D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\nUninstalling old sageattention...\nInstalling SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...\nResolved 1 package in 1.60s\nDownloading sageattention (11.5MiB)\n Downloaded sageattention\nPrepared 1 package in 729ms\nwarning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance.\n         If the cache and target directories are on different filesystems, hardlinking may not be supported.\n         If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.\nInstalled 1 package in 34ms\n + sageattention==2.2.0+cu128torch2.9.0cxx11abi1 (from https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl)\nSUCCESS! SageAttention 2.2.0 installed.\nVerifying...\nD:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\cuda\\__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.\n  import pynvml  # type: ignore[import]\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\__init__.py\", line 1, in <module>\n    from .core import sageattn, sageattn_varlen\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\[core.py](http://core.py)\", line 47, in <module>\n    from .quant import per_block_int8 as per_block_int8_cuda\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\[quant.py](http://quant.py)\", line 20, in <module>\n    from . import _fused\nImportError: DLL load failed while importing _fused: Belirtilen yordam bulunamad²."},"_audit_timestamp":"2026-04-26T17:23:04.463Z","_audit_hmac":"dfc4d56daa067b247d528fe41e1427cf2a72a01f9750de43ff64b87f8d70a035"}
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{"type":"user","message":{"role":"user","content":"=== ISLEM TAMAMLANDI ===\nDetaylar icin: D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention_log.txt\n============================================\n SageAttention 2.2.0 Prebuilt Wheel Install\n============================================\nCurrent directory: D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\nUninstalling old sageattention...\nInstalling SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...\nResolved 1 package in 1.60s\nDownloading sageattention (11.5MiB)\n Downloaded sageattention\nPrepared 1 package in 729ms\nwarning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance.\n         If the cache and target directories are on different filesystems, hardlinking may not be supported.\n         If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.\nInstalled 1 package in 34ms\n + sageattention==2.2.0+cu128torch2.9.0cxx11abi1 (from https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl)\nSUCCESS! SageAttention 2.2.0 installed.\nVerifying...\nD:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\cuda\\__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.\n  import pynvml  # type: ignore[import]\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\__init__.py\", line 1, in <module>\n    from .core import sageattn, sageattn_varlen\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\[core.py](http://core.py)\", line 47, in <module>\n    from .quant import per_block_int8 as per_block_int8_cuda\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\[quant.py](http://quant.py)\", line 20, in <module>\n    from . import _fused\nImportError: DLL load failed while importing _fused: Belirtilen yordam bulunamad²."},"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","parent_tool_use_id":null,"uuid":"ebbac41e-43e6-452e-a5ba-f746afbd826f","timestamp":"2026-04-26T17:23:07.112Z","isReplay":true,"_audit_timestamp":"2026-04-26T17:23:12.974Z","_audit_hmac":"b9e2f4fc789e0f2edce522debc8c69868a5cf4da1996621864ea971115954bc3"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_014Tq214r3zsFS8xgndhjWUj","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nWheel kuruldu ama import ederken DLL hatası veriyor — `_fused` modülü yüklenemiyor. Bu, wheel'in PyTorch 2.9.0 ile derlenmiş olmasından kaynaklanıyor ama sizde PyTorch 2.10.0 var. ABI uyumsuzluğu.\n\nPyTorch 2.10 + CUDA 12.8 için wheel arayalım:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1084,"cache_read_input_tokens":74487,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1084},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"4249906c-6e57-4b74-8351-a54ef497b0ce","_audit_timestamp":"2026-04-26T17:23:12.974Z","_audit_hmac":"c198e898fc2b9e0f815e86dc17d7eee5a06251e6adca5f27292aadb9b7ba0155"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_014Tq214r3zsFS8xgndhjWUj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","name":"Agent","input":{"description":"Find SageAttention torch 2.10 wheel","prompt":"Search the web for prebuilt SageAttention wheels specifically for PyTorch 2.10 on Windows.\n\nCheck these sources:\n1. https://github.com/woct0rdho/SageAttention/releases - look for torch2.10 or t210 in filenames\n2. https://huggingface.co/Wildminder/AI-windows-whl/tree/main - look for torch2.10 wheels\n3. Any other sources\n\nI need: sageattention wheel for Python 3.12 (cp312), PyTorch 2.10, CUDA 12.8 (cu128), Windows x64 (win_amd64).\n\nReport exact download URLs if found. Under 150 words.","model":"sonnet"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1084,"cache_read_input_tokens":74487,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1084},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"d5c048f5-249c-44c1-96ac-0d831aa8883b","_audit_timestamp":"2026-04-26T17:23:15.993Z","_audit_hmac":"81d1cf8c8707a1779c0a134ba3f3ea3c878595edd8ebe01f7375de3ce8c75b0e"}
{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Search the web for prebuilt SageAttention wheels specifically for PyTorch 2.10 on Windows.\n\nCheck these sources:\n1. https://github.com/woct0rdho/SageAttention/releases - look for torch2.10 or t210 in filenames\n2. https://huggingface.co/Wildminder/AI-windows-whl/tree/main - look for torch2.10 wheels\n3. Any other sources\n\nI need: sageattention wheel for Python 3.12 (cp312), PyTorch 2.10, CUDA 12.8 (cu128), Windows x64 (win_amd64).\n\nReport exact download URLs if found. Under 150 words."}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"54cd4bb0-68dc-4fb3-bcd5-f277cacc000c","timestamp":"2026-04-26T17:23:15.998Z","_audit_timestamp":"2026-04-26T17:23:16.019Z","_audit_hmac":"c30ba9d9475ef53ba7655082bf7ae56ca61f7d773815ea66e25f53703ac5e56e"}
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{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"File content (187200 tokens) exceeds maximum allowed tokens (25000). Use offset and limit parameters to read specific portions of the file, or search for specific content instead of reading the whole file.","is_error":true,"tool_use_id":"toolu_01BhSKSyH6VtqjL7uaKDLUim"}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"eca57159-d62e-4fe2-baf4-335cc38dc7a8","timestamp":"2026-04-26T17:23:38.742Z","tool_use_result":"Error: File content (187200 tokens) exceeds maximum allowed tokens (25000). Use offset and limit parameters to read specific portions of the file, or search for specific content instead of reading the whole file.","_audit_timestamp":"2026-04-26T17:23:38.744Z","_audit_hmac":"8b06129264a6fd26d90d84981d1d3c5047e92345939c11788c2a850db19513c6"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014k3MNBbjspvRyiFSDdBByC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012i8hmv8LeBqPBrPzGYgSKn","name":"ToolSearch","input":{"query":"select:mcp__workspace__bash","max_results":1},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":801,"cache_read_input_tokens":14666,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":801},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"b5348897-8aae-499c-a992-5c36c8a76fb4","_audit_timestamp":"2026-04-26T17:23:40.816Z","_audit_hmac":"bad558c18ad846540bda23df8fd0aa89b7a5785853b8f03b310b8db6d81cde3b"}
{"type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_012i8hmv8LeBqPBrPzGYgSKn","content":[{"type":"tool_reference","tool_name":"mcp__workspace__bash"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"b8c53b3f-9c7f-487b-bfe9-fdde3873d88c","timestamp":"2026-04-26T17:23:40.816Z","_audit_timestamp":"2026-04-26T17:23:40.872Z","_audit_hmac":"7d8319945ba2e5a2a26d3b565ba9e01123b7afac1a2393d1ed48fb8c75fe0b94"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Jzz77NWNSb3x3fRNbFopCt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B8NTNbNmEpZWrg3D9LdQ5X","name":"mcp__workspace__bash","input":{"command":"\nFILE1=\"/sessions/stoic-nice-brown/mnt/outputs/../../../.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results/mcp-workspace-web_fetch-1777224202550.txt\"\nFILE2=\"/sessions/stoic-nice-brown/mnt/outputs/../../../.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results/mcp-workspace-web_fetch-1777224203278.txt\"\n\necho \"=== GitHub releases (woct0rdho) - searching for t210/torch2.10/cp312/cu128/win ===\"\npython3 -c \"\nimport json, re\nwith open('$FILE1') as f:\n    data = json.load(f)\ntext = ' '.join(item['text'] for item in data if item.get('type') == 'text')\n# Find .whl filenames\nwheels = re.findall(r'[^\\s\\\"\\']+\\.whl', text)\nfor w in wheels:\n    if any(x in w.lower() for x in ['t210','torch2.10','210']):\n        print('MATCH:', w)\n# Also print all wheels for inspection\nprint('--- ALL WHEELS ---')\nfor w in set(wheels):\n    print(w)\n\" 2>/dev/null | head -100\n\necho \"\"\necho \"=== HuggingFace (Wildminder) - searching for sageattention wheels ===\"\npython3 -c \"\nimport json, re\nwith open('$FILE2') as f:\n    data = json.load(f)\ntext = ' '.join(item['text'] for item in data if item.get('type') == 'text')\nwheels = re.findall(r'[^\\s\\\"\\'<>]+\\.whl', text)\nsage_wheels = [w for w in set(wheels) if 'sage' in w.lower() or 'attention' in w.lower()]\nprint('SageAttention wheels found:')\nfor w in sage_wheels:\n    print(w)\nprint('--- ALL WHEELS (first 50) ---')\nfor w in list(set(wheels))[:50]:\n    print(w)\n\" 2>/dev/null | head -100\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1172,"cache_read_input_tokens":14666,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1172},"output_tokens":51,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"5847a105-e1d4-4457-8796-0f8747502b1a","_audit_timestamp":"2026-04-26T17:23:51.686Z","_audit_hmac":"7ef60eda39bb6d99e5f1a8ce6d9f5ad4e882b6ae42bc653eb8a55646f19ec42a"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B8NTNbNmEpZWrg3D9LdQ5X","type":"tool_result","content":[{"type":"text","text":"=== GitHub releases (woct0rdho) - searching for t210/torch2.10/cp312/cu128/win ===\n\n=== HuggingFace (Wildminder) - searching for sageattention wheels ===\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"afdcbb62-7a44-47e0-95f9-cebc4ba85891","timestamp":"2026-04-26T17:23:51.988Z","_audit_timestamp":"2026-04-26T17:23:51.991Z","_audit_hmac":"6181eeb3abba1d815d6ad3b02f3700bcdfef1ee56d9c64ca3b0eb4a4d0a11120"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01HXckhEQCX7StTrNDMcy9Ew","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016EBUZaQp3EFaT5hPpKxiWW","name":"mcp__workspace__bash","input":{"command":"\nBASE=\"/sessions/stoic-nice-brown/mnt\"\n# Find the actual mount path\nls /sessions/stoic-nice-brown/mnt/ 2>/dev/null || echo \"no mnt\"\nfind /sessions -name \"mcp-workspace-web_fetch-*.txt\" 2>/dev/null | head -10\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":911,"cache_read_input_tokens":15838,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":911},"output_tokens":50,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"ecb1fbbc-0468-4bfa-8f66-484ff9b6cadd","_audit_timestamp":"2026-04-26T17:23:54.819Z","_audit_hmac":"697648dfe3f6e91433053781f8e6c75e31d1e79c5e1d77b636bb1333a96d0970"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016EBUZaQp3EFaT5hPpKxiWW","type":"tool_result","content":[{"type":"text","text":"backend\noutputs\nuploads\n/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results/mcp-workspace-web_fetch-1777224064381.txt\n/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results/mcp-workspace-web_fetch-1777224065284.txt\n/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results/mcp-workspace-web_fetch-1777224202550.txt\n/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results/mcp-workspace-web_fetch-1777224203278.txt\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"9c9edcb8-5490-4108-8d72-6f4a7945357f","timestamp":"2026-04-26T17:24:14.528Z","_audit_timestamp":"2026-04-26T17:24:14.534Z","_audit_hmac":"bc8d5072712aa08c2708f8ebb733e351c1d086064332ef99eab4df358f247488"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01SzHxKwiNuYT9DWbeHn3umJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KL3Lf6fAfDCUGvBcifLRze","name":"mcp__workspace__bash","input":{"command":"\nBASE=\"/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results\"\n\nFILE1=\"$BASE/mcp-workspace-web_fetch-1777224202550.txt\"\nFILE2=\"$BASE/mcp-workspace-web_fetch-1777224203278.txt\"\n\necho \"=== GitHub releases: all .whl mentions ===\"\npython3 -c \"\nimport json, re\nwith open('$FILE1') as f:\n    raw = f.read()\n# Try as JSON array\ntry:\n    data = json.loads(raw)\n    text = ' '.join(str(item.get('text','')) for item in data)\nexcept:\n    text = raw\nwheels = re.findall(r'[\\w\\.\\-]+\\.whl', text)\nfor w in sorted(set(wheels)):\n    print(w)\n\" 2>&1 | head -80\n\necho \"\"\necho \"=== HuggingFace: all .whl mentions ===\"\npython3 -c \"\nimport json, re\nwith open('$FILE2') as f:\n    raw = f.read()\ntry:\n    data = json.loads(raw)\n    text = ' '.join(str(item.get('text','')) for item in data)\nexcept:\n    text = raw\nwheels = re.findall(r'[\\w\\.\\-]+\\.whl', text)\nsage = [w for w in sorted(set(wheels)) if 'sage' in w.lower()]\nprint('SageAttention:')\nfor w in sage:\n    print(w)\nprint('All wheels:')\nfor w in sorted(set(wheels)):\n    print(w)\n\" 2>&1 | head -80\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":841,"cache_read_input_tokens":16749,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":841},"output_tokens":52,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"63bf3554-cf90-4629-af03-ab253fd66dd5","_audit_timestamp":"2026-04-26T17:24:22.177Z","_audit_hmac":"b15356130397d100d431c15553091fc4b63cb4757802a3f85802f6aada2177ef"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KL3Lf6fAfDCUGvBcifLRze","type":"tool_result","content":[{"type":"text","text":"=== GitHub releases: all .whl mentions ===\n\n=== HuggingFace: all .whl mentions ===\nSageAttention:\nAll wheels:\n0ccb2bb6-cp313-cp313-win_amd64.whl\n20260120cu130torch2.11.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\n2Bcu126torch2.6.0-cp312-cp312-win_amd64.whl\n2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\n2Bcu128torch2.10.0-cp313-cp313-win_amd64.whl\n2Bcu128torch2.10.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bcu128torch2.8.0-cp312-cp312-win_amd64.whl\n2Bcu128torch2.8.0-cp313-cp313-win_amd64.whl\n2Bcu128torch2.8.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\n2Bcu128torch2.9-cp312-cp312-win_amd64.whl\n2Bcu128torch2.9-cp313-cp313-win_amd64.whl\n2Bcu128torch2.9.0-cp313-cp313-win_amd64.whl\n2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\n2Bcu128torch2.9.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\n2Bcu128torch2.9.1cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bcu129torch2.8.0-cp313-cp313-win_amd64.whl\n2Bcu129torch2.9.0-cp313-cp313-win_amd64.whl\n2Bcu129torch2.9.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bcu130torch2.10.0-cp312-cp312-win_amd64.whl\n2Bcu130torch2.10.0-cp313-cp313-win_amd64.whl\n2Bcu130torch2.10.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\n2Bcu130torch2.10.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bcu130torch2.10cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bcu130torch2.11.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bcu130torch2.11cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bcu130torch2.9-cp312-cp312-win_amd64.whl\n2Bcu130torch2.9-cp313-cp313-win_amd64.whl\n2Bcu130torch2.9.0-cp313-cp313-win_amd64.whl\n2Bcu130torch2.9.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\n2Bcu130torch2.9.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bcu130torch2.9.1cxx11abiTRUE-cp312-cp312-win_amd64.whl\n2Bcu130torch2.9.1cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bd20260120.cu130torch2.11.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\n2Bd20260121.cu130torch2.10.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\n2Bd20260121.cu130torch2.10.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bd20260328cu130torch2.11.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bd20260328cu130torch2.11.0cxx11abiTRUE-cp314-cp314-win_amd64.whl\n2Bd20260328cu130torch2.12.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n2Bd20260328cu130torch2.12.0cxx11abiTRUE-cp314-cp314-win_amd64.whl\n2Btorch2.9-cp312-cp312-win_amd64.whl\ncu126torch2.6.0-cp312-cp312-win_amd64.whl\ncu128torch2.10.0-cp312-cp312-win_amd64.whl\ncu128torch2.10.0-cp313-cp313-win_amd64.whl\ncu128torch2.10.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\ncu128torch2.8.0-cp312-cp312-win_amd64.whl\ncu128torch2.8.0-cp313-cp313-win_amd64.whl\ncu128torch2.8.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\ncu128torch2.9-cp312-cp312-win_amd64.whl\ncu128torch2.9-cp313-cp313-win_amd64.whl\ncu128torch2.9.0-cp313-cp313-win_amd64.whl\ncu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\ncu128torch2.9.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\ncu128torch2.9.1cxx11abiTRUE-cp313-cp313-win_amd64.whl\ncu129torch2.8.0-cp313-cp313-win_amd64.whl\ncu129torch2.9.0-cp313-cp313-win_amd64.whl\ncu129torch2.9.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\ncu130torch2.10.0-cp312-cp312-win_amd64.whl\ncu130torch2.10.0-cp313-cp313-win_amd64.whl\ncu130torch2.10.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\ncu130torch2.10.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\ncu130torch2.10cxx11abiTRUE-cp313-cp313-win_amd64.whl\ncu130torch2.11.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\ncu130torch2.11cxx11abiTRUE-cp313-cp313-win_amd64.whl\ncu130torch2.9-cp312-cp312-win_amd64.whl\ncu130torch2.9-cp313-cp313-win_amd64.whl\ncu130torch2.9.0-cp313-cp313-win_amd64.whl\ncu130torch2.9.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\ncu130torch2.9.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\ncu130torch2.9.1cxx11abiTRUE-cp312-cp312-win_amd64.whl\ncu130torch2.9.1cxx11abiTRUE-cp313-cp313-win_amd64.whl\nd20260120.cu130torch2.11.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nd20260121.cu130torch2.10.0cxx11abi1-cp313-cp313-win_amd64.whl\nd20260121.cu130torch2.10.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nd20260121.cu130torch2.10.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\nd20260310.cu130torch2.10.0cxx11abi1-cp313-cp313-win_amd64.whl\nd20260328cu130torch2.11.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\nd20260328cu130torch2.11.0cxx11abiTRUE-cp314-cp314-win_amd64.whl\nd20260328cu130torch2.12.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"b73954f0-fd38-49c1-b84e-22ebfe0f6984","timestamp":"2026-04-26T17:24:22.401Z","_audit_timestamp":"2026-04-26T17:24:22.404Z","_audit_hmac":"00e7f30d1ae5578e7ae01156c093eb48074604eeccc6239af8c2fc4d782cedc0"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_015aQzVjx9MKJMaHtRsiXaHf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QGexgGxPyENMWob1wrrBzm","name":"mcp__workspace__bash","input":{"command":"\nBASE=\"/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results\"\nFILE2=\"$BASE/mcp-workspace-web_fetch-1777224203278.txt\"\n\n# Get full URLs/hrefs containing cu128torch2.10.0-cp312\npython3 -c \"\nimport json, re\nwith open('$FILE2') as f:\n    raw = f.read()\ntry:\n    data = json.loads(raw)\n    text = ' '.join(str(item.get('text','')) for item in data)\nexcept:\n    text = raw\n\n# Find full URLs or paths mentioning cu128torch2.10.0-cp312\nmatches = re.findall(r'https?://[^\\s\\\"\\'<>]*cu128torch2\\.10\\.0[^\\s\\\"\\'<>]*cp312[^\\s\\\"\\'<>]*', text)\nmatches += re.findall(r'https?://[^\\s\\\"\\'<>]*cp312[^\\s\\\"\\'<>]*cu128torch2\\.10\\.0[^\\s\\\"\\'<>]*', text)\n# Also look for resolve URLs\nmatches += re.findall(r'https?://[^\\s\\\"\\'<>]*/resolve/[^\\s\\\"\\'<>]*\\.whl', text)\nfor m in sorted(set(matches)):\n    if 'cu128' in m and '2.10' in m and 'cp312' in m:\n        print(m)\nprint('---also search for partial paths---')\n# search for file paths\npaths = re.findall(r'/resolve/[^\\s\\\"\\'<>]+\\.whl', text)\nfor p in sorted(set(paths)):\n    if 'cu128' in p and '2.10' in p and 'cp312' in p:\n        print(p)\n\" 2>&1\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3075,"cache_read_input_tokens":17590,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3075},"output_tokens":35,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"434187da-94ea-48a2-8ac2-c3515a01c709","_audit_timestamp":"2026-04-26T17:24:36.250Z","_audit_hmac":"283e3c6012e3e7e30502cd925bde046ad87fa958611c88484cdfc7536f30b3d2"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QGexgGxPyENMWob1wrrBzm","type":"tool_result","content":[{"type":"text","text":"---also search for partial paths---\n/resolve/main/sageattention-2.2.0.post3%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"682dba47-e59c-4620-a684-1183d3f25666","timestamp":"2026-04-26T17:24:36.373Z","_audit_timestamp":"2026-04-26T17:24:36.718Z","_audit_hmac":"9bedaa5c35c2cf689e7f80d9fb1a69b3f802388bdfe339d75ef349005a489a8c"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_019EG7rCcV6CcVkBHEWY2XBH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JAmTLBS5Ro17EUGxoxCoet","name":"mcp__workspace__bash","input":{"command":"\nBASE=\"/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results\"\nFILE2=\"$BASE/mcp-workspace-web_fetch-1777224203278.txt\"\n\npython3 -c \"\nimport json, re\nwith open('$FILE2') as f:\n    raw = f.read()\ntry:\n    data = json.loads(raw)\n    text = ' '.join(str(item.get('text','')) for item in data)\nexcept:\n    text = raw\n\n# Find full HuggingFace URLs\nall_hf = re.findall(r'https://huggingface\\.co[^\\s\\\"\\'<>]+', text)\nfor u in sorted(set(all_hf)):\n    if 'cu128' in u and '2.10' in u and 'cp312' in u:\n        print(u)\n\n# Also find any sageattention in the GitHub file\n\" 2>&1\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":697,"cache_read_input_tokens":20665,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":697},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"3eb714c9-39f9-4779-bba2-581218c12d15","_audit_timestamp":"2026-04-26T17:24:41.967Z","_audit_hmac":"d5c3dda509ff65d5d1f7047650819fd609c90d50d17835289176da2cb7a46bc7"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JAmTLBS5Ro17EUGxoxCoet","type":"tool_result","content":[{"type":"text","text":"(no output)"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"bad295a3-c6da-4aab-96bb-3f930c5c6c97","timestamp":"2026-04-26T17:24:42.085Z","_audit_timestamp":"2026-04-26T17:24:42.088Z","_audit_hmac":"1c02dd3cfd524d48dc57cb64c52dc42aec70bc0649dd6da1e95c1d44ad950ef9"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01AEZzs1hysiNgiR4ZFCHqwn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UJYkXdfppHw8iGCfZtu3MQ","name":"mcp__workspace__bash","input":{"command":"\n# Also check GitHub releases file for any sageattention wheels\nBASE=\"/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results\"\nFILE1=\"$BASE/mcp-workspace-web_fetch-1777224202550.txt\"\n\npython3 -c \"\nimport json, re\nwith open('$FILE1') as f:\n    raw = f.read()\ntry:\n    data = json.loads(raw)\n    text = ' '.join(str(item.get('text','')) for item in data)\nexcept:\n    text = raw\n\nprint('GitHub file length:', len(text))\n# Search for any .whl\nwheels = re.findall(r'[\\w\\.\\-%+]+\\.whl', text)\nprint('Total whl refs:', len(wheels))\nfor w in sorted(set(wheels))[:50]:\n    print(w)\n\n# Search for github release download URLs\nurls = re.findall(r'https://github[^\\s\\\"\\'<>]+\\.whl', text)\nfor u in sorted(set(urls)):\n    print('URL:', u)\n\" 2>&1 | head -60\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":451,"cache_read_input_tokens":21362,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":451},"output_tokens":39,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"1ef364ec-f553-468f-9676-80c3e362c632","_audit_timestamp":"2026-04-26T17:24:48.824Z","_audit_hmac":"6a5ec940703d96eaed3b307c7a2834af548df1b6170984b02a200ee12204be46"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UJYkXdfppHw8iGCfZtu3MQ","type":"tool_result","content":[{"type":"text","text":"GitHub file length: 328626\nTotal whl refs: 0\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"7c2f9bb2-287b-4453-8789-18b1361e8d5f","timestamp":"2026-04-26T17:24:48.976Z","_audit_timestamp":"2026-04-26T17:24:48.978Z","_audit_hmac":"035b7bbb209e980b678808408a51653527612e4113418f8d08c25aa03b1fb7a6"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01EpG9m7jqHahU1CS8VN5hry","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015yyFj7Ph1L5WP3KYiG3cos","name":"mcp__workspace__bash","input":{"command":"\nBASE=\"/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results\"\nFILE1=\"$BASE/mcp-workspace-web_fetch-1777224202550.txt\"\n\npython3 -c \"\nimport json\nwith open('$FILE1') as f:\n    raw = f.read()\ntry:\n    data = json.loads(raw)\n    # Print structure\n    print('type:', type(data))\n    if isinstance(data, list):\n        print('len:', len(data))\n        print('first item keys:', list(data[0].keys()) if data else 'empty')\n        # Print first 2000 chars of text\n        text = ' '.join(str(item.get('text','')) for item in data)\n        print(text[:3000])\nexcept Exception as e:\n    print('JSON error:', e)\n    print(raw[:2000])\n\" 2>&1 | head -80\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":490,"cache_read_input_tokens":21813,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":490},"output_tokens":63,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"2a1c0e62-c962-4c01-bd81-6cdb67b2aad4","_audit_timestamp":"2026-04-26T17:24:53.768Z","_audit_hmac":"d47aa6ced0ec3aa3f2082d799b27aad7abaf683594a08fd5c5514e75843fd2f1"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015yyFj7Ph1L5WP3KYiG3cos","type":"tool_result","content":[{"type":"text","text":"type: <class 'list'>\nlen: 1\nfirst item keys: ['type', 'text']\nHTTP 200 \nContent-Type: text/html; charset=utf-8\n\n\n\n\n\n\n\n\n<!DOCTYPE html>\n<html\n  lang=\"en\"\n  \n  data-color-mode=\"auto\" data-light-theme=\"light\" data-dark-theme=\"dark\"\n  data-a11y-animated-images=\"system\" data-a11y-link-underlines=\"true\"\n  \n  >\n\n\n\n\n  <head>\n    <meta charset=\"utf-8\">\n  <link rel=\"dns-prefetch\" href=\"https://github.githubassets.com\">\n  <link rel=\"dns-prefetch\" href=\"https://avatars.githubusercontent.com\">\n  <link rel=\"dns-prefetch\" href=\"https://github-cloud.s3.amazonaws.com\">\n  <link rel=\"dns-prefetch\" href=\"https://user-images.githubusercontent.com/\">\n  <link rel=\"preconnect\" href=\"https://github.githubassets.com\" crossorigin>\n  <link rel=\"preconnect\" href=\"https://avatars.githubusercontent.com\">\n\n  \n\n  <link crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" href=\"https://github.githubassets.com/assets/light-2ff56e1b36116ee2.css\" /><link crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" href=\"https://github.githubassets.com/assets/light_high_contrast-f7f95d7633592089.css\" /><link crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" href=\"https://github.githubassets.com/assets/dark-2d1fe43dbc9adf1f.css\" /><link crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" href=\"https://github.githubassets.com/assets/dark_high_contrast-d530ee188d165539.css\" /><link data-color-theme=\"light\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/light-2ff56e1b36116ee2.css\" /><link data-color-theme=\"light_high_contrast\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/light_high_contrast-f7f95d7633592089.css\" /><link data-color-theme=\"light_colorblind\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/light_colorblind-e4bbc49fc7b82570.css\" /><link data-color-theme=\"light_colorblind_high_contrast\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/light_colorblind_high_contrast-cc3f126b45166b83.css\" /><link data-color-theme=\"light_tritanopia\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/light_tritanopia-652ca611ea4e33fe.css\" /><link data-color-theme=\"light_tritanopia_high_contrast\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/light_tritanopia_high_contrast-9e82d635cb6c3f49.css\" /><link data-color-theme=\"dark\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/dark-2d1fe43dbc9adf1f.css\" /><link data-color-theme=\"dark_high_contrast\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/dark_high_contrast-d530ee188d165539.css\" /><link data-color-theme=\"dark_colorblind\" crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" data-href=\"https://github.githubassets.com/assets/dark_colorblind-3ad0ec21150df75b.css\" /><link data-color\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"cc5cb782-417e-4e06-82c2-1ea24c6da497","timestamp":"2026-04-26T17:24:53.889Z","_audit_timestamp":"2026-04-26T17:24:53.891Z","_audit_hmac":"7e33893fd09563bad82a8cf6b82339c3d4c0a0498003e97a8474475e43155640"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Rit4GqjPZWDTEmQX2zv77s","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018gHnSupx8pyYmTNpdnxRua","name":"mcp__workspace__bash","input":{"command":"\nBASE=\"/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results\"\nFILE1=\"$BASE/mcp-workspace-web_fetch-1777224202550.txt\"\n\npython3 -c \"\nimport json, re\nwith open('$FILE1') as f:\n    raw = f.read()\ndata = json.loads(raw)\ntext = data[0]['text']\n# Search for download URLs or asset links\nhits = re.findall(r'href=\\\"([^\\\"]*releases/download[^\\\"]+)\\\"', text)\nfor h in hits:\n    print(h)\n# Also search for t210 or torch2.10\nidx = text.find('t210')\nif idx >= 0:\n    print('t210 found at:', idx, text[max(0,idx-100):idx+200])\nidx2 = text.find('torch2.10')\nif idx2 >= 0:\n    print('torch2.10 found at:', idx2, text[max(0,idx2-100):idx2+200])\nidx3 = text.find('2.10')\nif idx3 >= 0:\n    print('2.10 context:', text[max(0,idx3-50):idx3+150])\n\" 2>&1 | head -60\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1472,"cache_read_input_tokens":22303,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1472},"output_tokens":36,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"45e6263d-7637-47bb-8c05-fc36aa5b45fc","_audit_timestamp":"2026-04-26T17:25:04.853Z","_audit_hmac":"f13bff3792bd0273f10d7a518ce1232915b6bf9d01ee3fd1d576d77f32cdd76f"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018gHnSupx8pyYmTNpdnxRua","type":"tool_result","content":[{"type":"text","text":"2.10 context: .358A.25.25 0 0 1 3.896 6H.25A.25.25 0 0 1 0 5.75V2.104a.25.25 0 0 1 .427-.177ZM7.75 4a.75.75 0 0 1 .75.75v2.992l2.028.812a.75.75 0 0 1-.557 1.392l-2.5-1A.751.751 0 0 1 7 8.25v-3.5A.75.75 0 0 1 7.75 4\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"07c3e2be-064e-4dbb-8da5-c36d75d05ced","timestamp":"2026-04-26T17:25:04.969Z","_audit_timestamp":"2026-04-26T17:25:04.971Z","_audit_hmac":"e8f11c355687c10f8269258c2d98532c54646c4b3bff1ff88beee52a528b588a"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01CVtoP6KwnWY43QAJ7pSMVB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cbk3vdHkojbswhnY4q8oEv","name":"mcp__workspace__bash","input":{"command":"\nBASE=\"/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results\"\nFILE1=\"$BASE/mcp-workspace-web_fetch-1777224202550.txt\"\n\npython3 -c \"\nimport json, re\nwith open('$FILE1') as f:\n    raw = f.read()\ndata = json.loads(raw)\ntext = data[0]['text']\n\n# Look for release tags and assets\ntags = re.findall(r'/woct0rdho/SageAttention/releases/tag/[^\\s\\\"\\'<>]+', text)\nprint('Tags found:')\nfor t in sorted(set(tags)):\n    print(t)\n\n# Look for any .whl href\nwhl_hrefs = re.findall(r'href=\\\"([^\\\"]+\\.whl)\\\"', text)\nprint('WHL hrefs:')\nfor w in whl_hrefs:\n    print(w)\n\n# Look for releases sections\nidx = text.find('release')\nwhile idx >= 0 and idx < 50000:\n    snippet = text[idx:idx+50]\n    if 'sage' in snippet.lower() or 'whl' in snippet.lower():\n        print('At', idx, ':', snippet)\n    idx = text.find('release', idx+1)\n\" 2>&1 | head -40\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":678,"cache_read_input_tokens":23775,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":678},"output_tokens":63,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"7dcc9d98-ffd9-4810-aca9-3d95ad491148","_audit_timestamp":"2026-04-26T17:25:11.693Z","_audit_hmac":"239fc3a8a8098079543688d581cc57c58b34130f1eaaa8ca4d5b561475f05117"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cbk3vdHkojbswhnY4q8oEv","type":"tool_result","content":[{"type":"text","text":"Tags found:\n/woct0rdho/SageAttention/releases/tag/v2.1.1-windows\n/woct0rdho/SageAttention/releases/tag/v2.2.0-windows\n/woct0rdho/SageAttention/releases/tag/v2.2.0-windows.post1\n/woct0rdho/SageAttention/releases/tag/v2.2.0-windows.post2\n/woct0rdho/SageAttention/releases/tag/v2.2.0-windows.post3\n/woct0rdho/SageAttention/releases/tag/v2.2.0-windows.post4\nWHL hrefs:\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"c6525a9c-bd6d-46a1-8ead-854f30e66ab1","timestamp":"2026-04-26T17:25:11.812Z","_audit_timestamp":"2026-04-26T17:25:11.814Z","_audit_hmac":"a0c2d1bdbd045bd6eb0b80a5edc7933cc1ebb17a6da82effa4faf9dd5966f1cb"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01RSwTCv5ipH3PovcWR54Ysz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BjVuJdGFgA14KzygdKrc4v","name":"mcp__workspace__bash","input":{"command":"\n# Fetch the specific release page for latest post4 or post3 to find wheel assets\ncurl -s \"https://github.com/woct0rdho/SageAttention/releases/expanded_assets/v2.2.0-windows.post4\" 2>/dev/null | grep -o 'href=\"[^\"]*\\.whl\"' | head -30\necho \"---post3---\"\ncurl -s \"https://github.com/woct0rdho/SageAttention/releases/expanded_assets/v2.2.0-windows.post3\" 2>/dev/null | grep -o 'href=\"[^\"]*\\.whl\"' | head -30\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":700,"cache_read_input_tokens":24453,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":700},"output_tokens":43,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"4c4c4260-2f8f-45d2-bd5e-35830fa22dd6","_audit_timestamp":"2026-04-26T17:25:15.229Z","_audit_hmac":"c1250d1cd21362e029caade93c46eb9f1cd00db4cd166091a9d1c8112a23236c"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BjVuJdGFgA14KzygdKrc4v","type":"tool_result","content":[{"type":"text","text":"href=\"/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl\"\nhref=\"/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu130torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl\"\n---post3---\nhref=\"/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu124torch2.5.1.post3-cp39-abi3-win_amd64.whl\"\nhref=\"/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu126torch2.6.0.post3-cp39-abi3-win_amd64.whl\"\nhref=\"/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu128torch2.7.1.post3-cp39-abi3-win_amd64.whl\"\nhref=\"/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu128torch2.8.0.post3-cp39-abi3-win_amd64.whl\"\nhref=\"/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu128torch2.9.0.post3-cp39-abi3-win_amd64.whl\"\nhref=\"/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post3/sageattention-2.2.0+cu130torch2.9.0.post3-cp39-abi3-win_amd64.whl\"\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"03ee63a0-873f-4c8a-8020-0852690fa70a","timestamp":"2026-04-26T17:25:16.253Z","_audit_timestamp":"2026-04-26T17:25:16.255Z","_audit_hmac":"bbc26a18888f0faf129c6f7561722241ea406c89a18b7bcd217c0577c45d19aa"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_017JuQup3qXtPP7mea84nda9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012YoGkYa62jVyEsGyK5b9oY","name":"mcp__workspace__bash","input":{"command":"\n# Check all release tags for torch2.10 wheels\nfor tag in v2.2.0-windows.post4 v2.2.0-windows.post3 v2.2.0-windows.post2 v2.2.0-windows.post1 v2.2.0-windows v2.1.1-windows; do\n  echo \"=== $tag ===\"\n  curl -s \"https://github.com/woct0rdho/SageAttention/releases/expanded_assets/$tag\" 2>/dev/null | grep -o 'href=\"[^\"]*\\.whl\"' | grep -i '2\\.10\\|t210'\ndone\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":796,"cache_read_input_tokens":25153,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":796},"output_tokens":39,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"c1700ce8-cfb6-4acd-a79d-32a9ccfe6a5c","_audit_timestamp":"2026-04-26T17:25:19.832Z","_audit_hmac":"751a44d386ba4dcbbb574595c469299e24aa54ad6b153f8797f94df6ae411420"}
{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n=== v2.2.0-windows.post4 ===\n=== v2.2.0-windows.post3 ===\n=== v2.2.0-windows.post2 ===\n=== v2.2.0-windows.post1 ===\n=== v2.2.0-windows ===\n=== v2.1.1-windows ===","is_error":true,"tool_use_id":"toolu_012YoGkYa62jVyEsGyK5b9oY"}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"92fd7d33-4bd4-4f1d-9bff-4f8f969807e7","timestamp":"2026-04-26T17:25:22.229Z","tool_use_result":"Error: Exit code 1\n=== v2.2.0-windows.post4 ===\n=== v2.2.0-windows.post3 ===\n=== v2.2.0-windows.post2 ===\n=== v2.2.0-windows.post1 ===\n=== v2.2.0-windows ===\n=== v2.1.1-windows ===","_audit_timestamp":"2026-04-26T17:25:22.232Z","_audit_hmac":"3262b0ff445062ab1d7c25b99f330892d39020cca309050dfa325fac743c0e48"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01U8NJPoEDD8bo7qCotbmK4J","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Gf7xgB7DCcgcAEniDBZQUt","name":"mcp__workspace__bash","input":{"command":"\n# Now confirm the HuggingFace wheel - get full package name and URL\nBASE=\"/sessions/stoic-nice-brown/mnt/.claude/projects/C--Users-FikoYT-AppData-Roaming-Claude-local-agent-mode-sessions-14fa5521-a4a4-48ba-a2af-6a514deb817e-30bc1a27-fe3d-4c4b-9f8b-95c2470ba203-local-ff115914-170f-4294-bdec-fb8c891f0969-outputs/03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d/tool-results\"\nFILE2=\"$BASE/mcp-workspace-web_fetch-1777224203278.txt\"\n\npython3 -c \"\nimport json, re\nwith open('$FILE2') as f:\n    raw = f.read()\ndata = json.loads(raw)\ntext = data[0]['text']\n\n# Find all sageattention filenames/paths\nsage = re.findall(r'sageattention[^\\s\\\"\\'<>]+\\.whl', text, re.IGNORECASE)\nfor s in sorted(set(sage)):\n    print(s)\n\n# Find all resolve paths\npaths = re.findall(r'/resolve/main/[^\\s\\\"\\'<>]+\\.whl', text)\nfor p in paths:\n    if 'sage' in p.lower() or 'cu128' in p.lower():\n        print('PATH:', p)\n\" 2>&1\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":336,"cache_read_input_tokens":25949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":336},"output_tokens":45,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"6122fca4-9b12-4c89-bec8-c9a662a650be","_audit_timestamp":"2026-04-26T17:25:32.627Z","_audit_hmac":"0b3c38c4f29c0aaf6a975df76cc66ebb066c6857a672a8b32807f825e7221215"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Gf7xgB7DCcgcAEniDBZQUt","type":"tool_result","content":[{"type":"text","text":"sageattention-2.1.1%2Bcu126torch2.6.0-cp312-cp312-win_amd64.whl\nsageattention-2.1.1%2Bcu128torch2.8.0-cp312-cp312-win_amd64.whl\nsageattention-2.1.1+cu126torch2.6.0-cp312-cp312-win_amd64.whl\nsageattention-2.1.1+cu128torch2.8.0-cp312-cp312-win_amd64.whl\nsageattention-2.2.0%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\nsageattention-2.2.0+cu128torch2.10.0-cp312-cp312-win_amd64.whl\nsageattention-2.2.0+cu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\nsageattention-2.2.0+cu130torch2.10.0-cp312-cp312-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu128torch2.10.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu128torch2.8.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu128torch2.9.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu129torch2.8.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu129torch2.9.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu130torch2.10.0-cp312-cp312-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu130torch2.10.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3%2Bcu130torch2.9.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3+cu128torch2.10.0-cp312-cp312-win_amd64.whl\nsageattention-2.2.0.post3+cu128torch2.10.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3+cu128torch2.8.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3+cu128torch2.9.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3+cu129torch2.8.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3+cu129torch2.9.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3+cu130torch2.10.0-cp312-cp312-win_amd64.whl\nsageattention-2.2.0.post3+cu130torch2.10.0-cp313-cp313-win_amd64.whl\nsageattention-2.2.0.post3+cu130torch2.9.0-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.7.4.post1%2Bcu128torch2.8.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.8.0.post2%2Bcu128torch2.8.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.8.1%2Bcu128torch2.8.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.8.2%2Bcu128torch2.8.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.8.2%2Bcu128torch2.9.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.8.3%2Bcu128torch2.10.0cxx11abiTRUE-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.8.3%2Bcu128torch2.8.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.8.3%2Bcu128torch2.9.0cxx11abiTRUE-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/flash_attn-2.8.3%2Bcu128torch2.9.1cxx11abiTRUE-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/nunchaku-1.0.1%2Bcu128torch2.9-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/nunchaku-1.0.1%2Bcu128torch2.9-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/sageattention-2.1.1%2Bcu126torch2.6.0-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/sageattention-2.1.1%2Bcu128torch2.8.0-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu128torch2.10.0-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu128torch2.8.0-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu128torch2.9.0-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu129torch2.8.0-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu129torch2.9.0-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu130torch2.10.0-cp312-cp312-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu130torch2.10.0-cp313-cp313-win_amd64.whl\nPATH: /resolve/main/sageattention-2.2.0.post3%2Bcu130torch2.9.0-cp313-cp313-win_amd64.whl\n"}]}]},"parent_tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"4f7b709c-d765-4d3c-8480-f7f5e49962a1","timestamp":"2026-04-26T17:25:32.739Z","_audit_timestamp":"2026-04-26T17:25:32.741Z","_audit_hmac":"73c6765759d50c25dfdea949026d12aaf4d97f470c140303edc5bf3785acac75"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EHCpY3Nmk6RDT71kSZrnJX","type":"tool_result","content":[{"type":"text","text":"Found exactly what was needed. Here are the results:\n\n---\n\n**GitHub (woct0rdho/SageAttention releases):** No PyTorch 2.10 wheel found. All releases use an `abi3` (cp39+) tag covering torch 2.9.0 and higher — there is no separate torch2.10-specific wheel here.\n\n**HuggingFace (Wildminder/AI-windows-whl) — MATCH FOUND:**\n\nExact file: `sageattention-2.2.0.post3+cu128torch2.10.0-cp312-cp312-win_amd64.whl`\n\nDirect download URL:\n```\nhttps://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\n```\n\nThis matches all your criteria: cp312, PyTorch 2.10.0, cu128, win_amd64. Version is 2.2.0.post3.\n\nNote: The GitHub woct0rdho release `v2.2.0-windows.post4` also ships a cu128/torch2.9.0-and-higher wheel (`cp39 abi3`) which is compatible with torch 2.10+ and cp312, but it is not torch2.10-specific. That wheel URL is:\n```\nhttps://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl\n```"},{"type":"text","text":"agentId: a21800145e58c5d36 (use SendMessage with to: 'a21800145e58c5d36' to continue this agent)\n<usage>total_tokens: 29335\ntool_uses: 20\nduration_ms: 146642</usage>"}]}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"e1fd5220-80bb-437b-89da-38449231b028","timestamp":"2026-04-26T17:25:42.640Z","tool_use_result":{"status":"completed","prompt":"Search the web for prebuilt SageAttention wheels specifically for PyTorch 2.10 on Windows.\n\nCheck these sources:\n1. https://github.com/woct0rdho/SageAttention/releases - look for torch2.10 or t210 in filenames\n2. https://huggingface.co/Wildminder/AI-windows-whl/tree/main - look for torch2.10 wheels\n3. Any other sources\n\nI need: sageattention wheel for Python 3.12 (cp312), PyTorch 2.10, CUDA 12.8 (cu128), Windows x64 (win_amd64).\n\nReport exact download URLs if found. Under 150 words.","agentId":"a21800145e58c5d36","agentType":"general-purpose","content":[{"type":"text","text":"Found exactly what was needed. Here are the results:\n\n---\n\n**GitHub (woct0rdho/SageAttention releases):** No PyTorch 2.10 wheel found. All releases use an `abi3` (cp39+) tag covering torch 2.9.0 and higher — there is no separate torch2.10-specific wheel here.\n\n**HuggingFace (Wildminder/AI-windows-whl) — MATCH FOUND:**\n\nExact file: `sageattention-2.2.0.post3+cu128torch2.10.0-cp312-cp312-win_amd64.whl`\n\nDirect download URL:\n```\nhttps://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\n```\n\nThis matches all your criteria: cp312, PyTorch 2.10.0, cu128, win_amd64. Version is 2.2.0.post3.\n\nNote: The GitHub woct0rdho release `v2.2.0-windows.post4` also ships a cu128/torch2.9.0-and-higher wheel (`cp39 abi3`) which is compatible with torch 2.10+ and cp312, but it is not torch2.10-specific. That wheel URL is:\n```\nhttps://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl\n```"}],"totalDurationMs":146642,"totalTokens":29335,"totalToolUseCount":20,"usage":{"input_tokens":1,"cache_creation_input_tokens":2618,"cache_read_input_tokens":26285,"output_tokens":431,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":431,"cache_read_input_tokens":26285,"cache_creation_input_tokens":2618,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2618},"type":"message"}],"speed":"standard"},"toolStats":{"readCount":2,"searchCount":2,"bashCount":0,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":16}},"_audit_timestamp":"2026-04-26T17:25:42.642Z","_audit_hmac":"d207fb6702be455013430d60d1a5a639dcba23db0aedefe943c56556e100e804"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01WCsddm8rwq95izK6rdHKN1","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nPyTorch 2.10.0 için tam uyumlu wheel bulundu. Bat dosyasını güncelliyorum:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1006,"cache_read_input_tokens":75571,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1006},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"675ac713-e5d6-4c77-b241-2bde38706a88","_audit_timestamp":"2026-04-26T17:25:45.479Z","_audit_hmac":"a3d386e752d70e6ef957cd22a5d4ed4bb00ede9903cf4dbb9e78e29ccf50696a"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01WCsddm8rwq95izK6rdHKN1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ka9xZhPe75poWAPegnikLy","name":"Edit","input":{"replace_all":false,"file_path":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","old_string":"uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","new_string":"uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1006,"cache_read_input_tokens":75571,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1006},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"1e0e6884-80ee-4475-b89f-a888f01d97d3","_audit_timestamp":"2026-04-26T17:25:48.067Z","_audit_hmac":"d770144572411f8a0bf4487b0affb6166fbad7f1621a56606611eb2bcf2afc35"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ka9xZhPe75poWAPegnikLy","type":"tool_result","content":"The file D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"380e5779-d69f-4d5e-b499-6c880c2616c2","timestamp":"2026-04-26T17:25:48.077Z","tool_use_result":{"filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","oldString":"uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","newString":"uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","originalFile":"@echo off\nREM === Dizini kaydet ===\nset \"SCRIPTDIR=%~dp0\"\nset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\necho Log dosyasi: %LOGFILE%\ncall :MAIN > \"%LOGFILE%\" 2>&1\necho.\necho === ISLEM TAMAMLANDI ===\necho Detaylar icin: %LOGFILE%\ntype \"%LOGFILE%\"\necho.\npause\nexit /b\n\n:MAIN\necho ============================================\necho  SageAttention 2.2.0 Prebuilt Wheel Install\necho ============================================\necho.\n\ncd /d \"%SCRIPTDIR%\"\necho Current directory: %cd%\n\necho Uninstalling old sageattention...\nuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\n\necho.\necho Installing SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...\nuv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n\necho.\nif errorlevel 1 (\n    echo INSTALL FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n    echo Verifying...\n    \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" -c \"import sageattention; print('SageAttention imported OK')\"\n)\ngoto :eof\n","structuredPatch":[{"oldStart":26,"oldLines":7,"newStart":26,"newLines":7,"lines":[" "," echo."," echo Installing SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...","-uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0%%2Bcu128torch2.9.0cxx11abi1-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","+uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\""," "," echo."," if errorlevel 1 ("]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-26T17:25:48.095Z","_audit_hmac":"626f6161096fcce6701a36893e2c19135a61a1728ae1d5f185b6686b4535a7b9"}
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{"type":"user","message":{"role":"user","content":"If the cache and target directories are on different filesystems, hardlinking may not be supported.\n         If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.\nInstalled 1 package in 43ms\n + sageattention==2.2.0.post3+cu128torch2.10.0 (from https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl)\nSUCCESS! SageAttention 2.2.0 installed.\nVerifying...\nD:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\torch\\cuda\\__init__.py:65: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.\n  import pynvml  # type: ignore[import]\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\__init__.py\", line 1, in <module>\n    from .core import sageattn, sageattn_varlen\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\[core.py](http://core.py)\", line 47, in <module>\n    from .quant import per_block_int8 as per_block_int8_cuda\n  File \"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\.venv\\Lib\\site-packages\\sageattention\\[quant.py](http://quant.py)\", line 20, in <module>\n    from . import _fused\nImportError: DLL load failed while importing _fused: Belirtilen yordam bulunamad²."},"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","parent_tool_use_id":null,"uuid":"379b6027-f942-4393-9faf-e40e5d8a1e5f","timestamp":"2026-04-26T17:26:46.863Z","isReplay":true,"_audit_timestamp":"2026-04-26T17:26:52.382Z","_audit_hmac":"662b13a001b0bc8f7fb2d2d743fedf43fc6dd15bfd48ebc42c74395351c5054a"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01KNAEeFRgjo2HxSnUeFM5Uv","type":"message","role":"assistant","content":[{"type":"text","text":"PowerShell torch import'ları ile çok yavaş. Farklı bir yol deneyelim — woct0rdho'nun \"torch2.9.0andhigher\" abi3 wheel'ini deneyelim, bu özellikle geniş uyumluluk için tasarlanmış:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":427,"cache_read_input_tokens":80301,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":427},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"cfe331b9-608b-40b2-99e2-125cc1a6497c","_audit_timestamp":"2026-04-26T17:29:23.097Z","_audit_hmac":"d5a84e46d6bd627d879f37f8b0642a8f92192320b925011a56b8a8eb9c4ea10e"}
{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_01KNAEeFRgjo2HxSnUeFM5Uv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014wKHo7BDkkmhnRXjteGngE","name":"Edit","input":{"replace_all":false,"file_path":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","old_string":"uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","new_string":"uv pip install \"https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":427,"cache_read_input_tokens":80301,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":427},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"99474ebd-e581-441d-aa1f-b5450f056f45","_audit_timestamp":"2026-04-26T17:29:25.856Z","_audit_hmac":"f059525fe36358fbd7ed798d2c171d3020060c2910e3bfdb2bcfd95339ce9d39"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014wKHo7BDkkmhnRXjteGngE","type":"tool_result","content":"The file D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"a21fd050-6391-4c17-ae08-3d23b757032c","timestamp":"2026-04-26T17:29:25.867Z","tool_use_result":{"filePath":"D:\\__sistem__\\Masaustu\\FikoYT.Yeni.Cag\\video-uretim\\ltx-desktop-wangp\\LTX-Desktop-WanGP\\backend\\install_sageattention.bat","oldString":"uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","newString":"uv pip install \"https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","originalFile":"@echo off\nREM === Dizini kaydet ===\nset \"SCRIPTDIR=%~dp0\"\nset \"LOGFILE=%SCRIPTDIR%install_sageattention_log.txt\"\necho Log dosyasi: %LOGFILE%\ncall :MAIN > \"%LOGFILE%\" 2>&1\necho.\necho === ISLEM TAMAMLANDI ===\necho Detaylar icin: %LOGFILE%\ntype \"%LOGFILE%\"\necho.\npause\nexit /b\n\n:MAIN\necho ============================================\necho  SageAttention 2.2.0 Prebuilt Wheel Install\necho ============================================\necho.\n\ncd /d \"%SCRIPTDIR%\"\necho Current directory: %cd%\n\necho Uninstalling old sageattention...\nuv pip uninstall sageattention --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" 2>nul\n\nset \"UV_SKIP_WHEEL_FILENAME_CHECK=1\"\necho.\necho Installing SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...\nuv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"\n\necho.\nif errorlevel 1 (\n    echo INSTALL FAILED! See errors above.\n) else (\n    echo SUCCESS! SageAttention 2.2.0 installed.\n    echo Verifying...\n    \"%SCRIPTDIR%.venv\\Scripts\\python.exe\" -c \"import sageattention; print('SageAttention imported OK')\"\n)\ngoto :eof\n","structuredPatch":[{"oldStart":27,"oldLines":7,"newStart":27,"newLines":7,"lines":[" set \"UV_SKIP_WHEEL_FILENAME_CHECK=1\""," echo."," echo Installing SageAttention 2.2.0 prebuilt wheel (CUDA 12.8, Python 3.12, Windows)...","-uv pip install \"https://huggingface.co/Wildminder/AI-windows-whl/resolve/main/sageattention-2.2.0.post3%%2Bcu128torch2.10.0-cp312-cp312-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\"","+uv pip install \"https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu128torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl\" --python \"%SCRIPTDIR%.venv\\Scripts\\python.exe\""," "," echo."," if errorlevel 1 ("]}],"userModified":false,"replaceAll":false},"_audit_timestamp":"2026-04-26T17:29:26.649Z","_audit_hmac":"8eb3aa9c2620a4fd93affc6d3c2dc1b2bf36a7581ebc75dc630cdad776e33f52"}
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{"type":"assistant","message":{"model":"claude-opus-4-6","id":"msg_017nhP64PaLxeYvTyzPxZ5rP","type":"message","role":"assistant","content":[{"type":"text","text":"Bu sefer woct0rdho'nun `abi3` wheel'ini kullanıyoruz — bu özellikle \"torch 2.9.0 ve üstü\" için tasarlanmış, stabil ABI kullanıyor ve PyTorch 2.10 ile uyumlu olması gerekiyor. Tekrar çalıştırın."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":527,"cache_read_input_tokens":80728,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":527},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"03b0bb8f-9d17-4ff0-bd6c-d6b0ee0ffe9d","uuid":"36819329-7cee-4af2-ab3a-b34e3b205398","_audit_timestamp":"2026-04-26T17:29:30.648Z","_audit_hmac":"768dd452c41be880cf54a2c36ee4d2dfc9101f4af23f27e939b29c7e0716f12c"}
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