Merge remote-tracking branch 'origin/main' into studio-fla-tilelang-qwen3.5
This commit is contained in:
danielhanchen
commit
8e7859d4b7
10 changed files with 3191 additions and 578 deletions
22
.github/workflows/studio-frontend-ci.yml
vendored
22
.github/workflows/studio-frontend-ci.yml
vendored
|
|
@ -15,6 +15,8 @@ on:
|
|||
pull_request:
|
||||
paths:
|
||||
- 'studio/frontend/**'
|
||||
- 'scripts/check_frontend_dep_removal.py'
|
||||
- 'tests/studio/test_frontend_dep_removal.py'
|
||||
- '.github/workflows/studio-frontend-ci.yml'
|
||||
push:
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||||
branches: [main, pip]
|
||||
|
|
@ -84,6 +86,26 @@ jobs:
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|||
exit 1
|
||||
fi
|
||||
|
||||
# Catch the common foot-gun: a dep dropped from package.json that is
|
||||
# still imported somewhere. The script walks the lockfile dep graph
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||||
# from the new top-level deps and only counts top-level node_modules
|
||||
# paths as valid resolution targets for bare src/ imports.
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||||
#
|
||||
# actions/checkout uses fetch-depth: 1 by default, so the base branch
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||||
# is not available locally. Fetch the single base commit with an
|
||||
# explicit refspec so origin/<base> is reliably created (a bare
|
||||
# `git fetch origin <ref>` only updates FETCH_HEAD in some configs).
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- name: Dependency removal safety check
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||||
if: github.event_name == 'pull_request'
|
||||
working-directory: ${{ github.workspace }}
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||||
run: |
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||||
git fetch --no-tags --depth=1 origin \
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||||
"${{ github.base_ref }}:refs/remotes/origin/${{ github.base_ref }}"
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python3 scripts/check_frontend_dep_removal.py \
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--base "origin/${{ github.base_ref }}" \
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--enumerate-dead
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python3 tests/studio/test_frontend_dep_removal.py
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||||
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||||
- name: Typecheck
|
||||
run: npm run typecheck
|
||||
|
||||
|
|
|
|||
150
pyproject.toml
150
pyproject.toml
|
|
@ -1017,7 +1017,44 @@ intelgputorch290 = [
|
|||
intel-gpu-torch290 = [
|
||||
"unsloth[intelgputorch290]"
|
||||
]
|
||||
intelgputorch210 = [
|
||||
intelgputorch271 = [
|
||||
"unsloth_zoo[intelgpu]",
|
||||
"unsloth[huggingfacenotorch]",
|
||||
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.3.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=663ce21364096b268c6687f26f22862cb1001cae0c4ec9f98a0998415f99e2b0 ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.3.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=dd92cc17000bad19f213b6a877d7f10cd71341b703cd188513ce9fff8d42e3dd ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.3.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=aa5c3ec21a89e967d1dfe61e3d5b1c1ae9620c871ed804771d3378d6a44066f2 ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.3.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=d1c6f522e11112a311b1a61ba7b40b43ad8305675fa29153017ccb1ad0b6816d ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.3.1-cp310-cp310-win_amd64.whl#sha256=a5c16dcf449a9cb62bc3788f7ec45782bb3ead6edc2637a12b60ef0f8f45dc55 ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.3.1-cp311-cp311-win_amd64.whl#sha256=bc2d76ffa4ceed5b38ae34b52dbff643442e1a44d52ca72d7cb520ca1950e9ae ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.3.1-cp312-cp312-win_amd64.whl#sha256=b09ca59ce52d6d27b1510df783cde222b703a71857a6fa953f1f155f9f50811a ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.3.1-cp313-cp313-win_amd64.whl#sha256=1260c4a4bad426b6cd3c8f3e1a21835381c6f217bf434bcb55fedec08a206dea ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.7.1%2Bxpu-cp310-cp310-linux_x86_64.whl#sha256=231c3fbd88a75d94de5ccbbb7f4f9a96cb3c58b3d891c2a1b469d38df95f9be6 ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.7.1%2Bxpu-cp311-cp311-linux_x86_64.whl#sha256=78edcc27709dd819fc820f5eb9421bd10d3f3dcb14adb25ee60766c76f0e67f3 ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.7.1%2Bxpu-cp312-cp312-linux_x86_64.whl#sha256=b443df40bc9cb7d648a9f8f9ed1d5c3a1203e561ebd0a61dd55fb8a58833d5ec ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.7.1%2Bxpu-cp313-cp313-linux_x86_64.whl#sha256=412b58ffcceebea399c9a1bcdb22896aa10385c2650a8c4f8a677fb11c49b448 ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.7.1%2Bxpu-cp310-cp310-win_amd64.whl#sha256=2591228dc2cb73c78daf24277c4449ba9474f94cd31938147249269fe89d05d6 ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.7.1%2Bxpu-cp311-cp311-win_amd64.whl#sha256=1aacb86e9a9684ffc8bde3db14b251d00df7019a9a434ec99a59076a2696325d ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.7.1%2Bxpu-cp312-cp312-win_amd64.whl#sha256=9b65dc8562521b60d77aa653132bc03a19da0291318fcf919faa3f03080d8f7e ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.7.1%2Bxpu-cp313-cp313-win_amd64.whl#sha256=cd3669fee311bc3ee5501d696bf989226a6f2bf957d120a04881a07af05526d6 ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"bitsandbytes @ https://github.com/bitsandbytes-foundation/bitsandbytes/releases/download/continuous-release_main/bitsandbytes-1.33.7.preview-py3-none-manylinux_2_24_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"bitsandbytes @ https://github.com/bitsandbytes-foundation/bitsandbytes/releases/download/continuous-release_main/bitsandbytes-1.33.7.preview-py3-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.22.1%2Bxpu-cp310-cp310-manylinux_2_28_x86_64.whl#sha256=f8cdf6889c02b3166679eef661b68757ea7e99c314432c3d41dac3d2ed4a59d4 ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.22.1%2Bxpu-cp311-cp311-manylinux_2_28_x86_64.whl#sha256=f7d15b65d52809745992e0001c25034f33ac01f2dff5248614e07b5d009a59b7 ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.22.1%2Bxpu-cp312-cp312-manylinux_2_28_x86_64.whl#sha256=1ff1f98d70846352c7f56833bedab1a055ead27b11c120b8c719063ee0383554 ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.22.1%2Bxpu-cp313-cp313-manylinux_2_28_x86_64.whl#sha256=f46945344ea911a70309231eaaf3b80c96f6646ce5515dc89aa94f94144e310e ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.22.1%2Bxpu-cp310-cp310-win_amd64.whl#sha256=ecae9a02de769e2070d37388116beb407c3f0d60b8e65c1da1423f4eafee361a ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.22.1%2Bxpu-cp311-cp311-win_amd64.whl#sha256=2914e62782431bebd6ad9a3b98a2b7311e448e84a7534bb7f35874b9279a17de ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.22.1%2Bxpu-cp312-cp312-win_amd64.whl#sha256=5b462c156f4e2097e1e53649d3f298ce352fa4c5d1e6addd360375b10ebd6c67 ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.22.1%2Bxpu-cp313-cp313-win_amd64.whl#sha256=fa87b3677cd1af67ce423004283c1bde80e3571f391182a3e89b485e18e3c70f ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
]
|
||||
intel-gpu-torch271 = [
|
||||
"unsloth[intelgputorch271]"
|
||||
]
|
||||
intelgputorch291 = [
|
||||
"unsloth_zoo[intelgpu]",
|
||||
"unsloth[huggingfacenotorch]",
|
||||
|
||||
|
|
@ -1030,6 +1067,43 @@ intelgputorch210 = [
|
|||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.5.0-cp312-cp312-win_amd64.whl#sha256=97337a47425f1963a723475bd61037460e84ba01db4f87a1d662c3718ff6c47e ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"pytorch_triton_xpu @ https://download.pytorch.org/whl/pytorch_triton_xpu-3.5.0-cp313-cp313-win_amd64.whl#sha256=2caf8138695f6abb023ecd02031a2611ba1bf8fff2f19802567cb2fadefe9e87 ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.9.1%2Bxpu-cp310-cp310-linux_x86_64.whl#sha256=fb7895c744132d6a8e56ce8434ae1d8355c9bda4e9f58832744ff742d6268eaf ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.9.1%2Bxpu-cp311-cp311-linux_x86_64.whl#sha256=da2604a9114a28de71ce654819424d20a246adf644d191ae160837df9731b79e ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.9.1%2Bxpu-cp312-cp312-linux_x86_64.whl#sha256=d5968d78d81c1d01efc1b3bf83d7da3d83161dcc3a9fcf91f500591db1c6c75d ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.9.1%2Bxpu-cp313-cp313-linux_x86_64.whl#sha256=b56d6b0d65863f370527e971dbfa046a5dd2a1f61cc95071db26c764f36e4dce ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.9.1%2Bxpu-cp310-cp310-win_amd64.whl#sha256=2f318fb6a4bf1101cc17f35a5371f7c1768b41fceed03628397834e85b3edfdd ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.9.1%2Bxpu-cp311-cp311-win_amd64.whl#sha256=c9cedc3fb099366b2e6c563df6578e323564b1b5d40ac27be73c674755343a1d ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.9.1%2Bxpu-cp312-cp312-win_amd64.whl#sha256=bee9623254d0f95a1ca115dbd17e9a9d966fdb8ae123e2ada4a9eb2fb8d38db8 ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.9.1%2Bxpu-cp313-cp313-win_amd64.whl#sha256=cd5c857da52a63c121561b30b0979e69ade70b575fd74e389787bc7c1ee2ac11 ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"bitsandbytes @ https://github.com/bitsandbytes-foundation/bitsandbytes/releases/download/continuous-release_main/bitsandbytes-1.33.7.preview-py3-none-manylinux_2_24_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"bitsandbytes @ https://github.com/bitsandbytes-foundation/bitsandbytes/releases/download/continuous-release_main/bitsandbytes-1.33.7.preview-py3-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.24.1%2Bxpu-cp310-cp310-manylinux_2_28_x86_64.whl#sha256=cc5272da2cb4554edf059eedd6d1f5ef2859033b0fb79d5dcb8e99a0697f3325 ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.24.1%2Bxpu-cp311-cp311-manylinux_2_28_x86_64.whl#sha256=3c80d6a068c32fc4ebddb27953e03a0141bd0f10ca8730417cbc0e0748158285 ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.24.1%2Bxpu-cp312-cp312-manylinux_2_28_x86_64.whl#sha256=8cf640a867cf270b3fda7a10002c29d3fc2ad6dfbd76404a8cdd820489adb04c ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.24.1%2Bxpu-cp313-cp313-manylinux_2_28_x86_64.whl#sha256=d9c59ee5ae3d0560f02401c8dfd8054d50813a8dbb5d33a8777de7d02f6fcb7b ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.24.1%2Bxpu-cp310-cp310-win_amd64.whl#sha256=843ea7fcd8f5a22ebbc20d2d61d9eec7593821a0372eb8cabb73953d12ef6acf ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.24.1%2Bxpu-cp311-cp311-win_amd64.whl#sha256=e5ff8a31d3c700f8dbac59697c8e32298a43ec059609ebc6ea7bab3eff6384e1 ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.24.1%2Bxpu-cp312-cp312-win_amd64.whl#sha256=8bae6d4c042f8d20818da4a5aa9109c6fbd6ec11bc422be152ce8adf9a7095bf ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.24.1%2Bxpu-cp313-cp313-win_amd64.whl#sha256=47059e290fc2a41ba78666ffcde102c436abf7ff8a34d200268b48c4fa0f9c45 ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
]
|
||||
intel-gpu-torch291 = [
|
||||
"unsloth[intelgputorch291]"
|
||||
]
|
||||
intelgputorch210 = [
|
||||
"unsloth_zoo[intelgpu]",
|
||||
"unsloth[huggingfacenotorch]",
|
||||
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.6.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.6.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.6.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.6.0-cp310-cp310-win_amd64.whl ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.6.0-cp311-cp311-win_amd64.whl ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.6.0-cp312-cp312-win_amd64.whl ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.6.0-cp313-cp313-win_amd64.whl ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.10.0%2Bxpu-cp310-cp310-linux_x86_64.whl#sha256=abb1d1ec1ac672bac0ff35420c965f2df0c636ef9d94e2a830e34578489d0a57 ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.10.0%2Bxpu-cp311-cp311-linux_x86_64.whl#sha256=71ad2f82da0f41eaec159f39fc85854e27c2391efa91b373e550648a6f4aaad3 ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.10.0%2Bxpu-cp312-cp312-linux_x86_64.whl#sha256=b473571d478912f92881cc13f15fa18f8463fb0fb8a068c96ed47a7d45a4da0a ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
|
|
@ -1054,6 +1128,80 @@ intelgputorch210 = [
|
|||
intel-gpu-torch210 = [
|
||||
"unsloth[intelgputorch210]"
|
||||
]
|
||||
intelgputorch2110 = [
|
||||
"unsloth_zoo[intelgpu]",
|
||||
"unsloth[huggingfacenotorch]",
|
||||
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=2a1841138750f708ec017becbf8d357526f3fa350deee6553be5735ad66160a3 ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=e85378f1fc1ea002271de2a35475b75008fa554b86ef9d3bc55be9c513a63b51 ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=a6663ebe43e3c0d560ff774708632d7a75208ee64a291c1724ed5c16a92d1c72 ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=08c8d43b2831faf9d6799480df2b45dde58102257aebd810d07a2ce18cd4e5df ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.0-cp310-cp310-win_amd64.whl#sha256=90fb8f767950a4ffca627faa7f86d9c697237ea4352d7e23505c5c9ed8e72216 ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.0-cp311-cp311-win_amd64.whl#sha256=aa7de82f4265089e74f25a2701b7532e5c47d74224d877b61da1d66156e3f0c1 ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.0-cp312-cp312-win_amd64.whl#sha256=5ba3a31c6e1b259ad2d924e1b50f72a78c6ebd7eb4f364473bbf93e144734e80 ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.0-cp313-cp313-win_amd64.whl#sha256=e8b4caba9b2399ea4c7f9a2777042564dea5d6f9e586a2dcb015a4ce20f000f7 ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.11.0%2Bxpu-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.11.0%2Bxpu-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.11.0%2Bxpu-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.11.0%2Bxpu-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.11.0%2Bxpu-cp310-cp310-win_amd64.whl ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.11.0%2Bxpu-cp311-cp311-win_amd64.whl ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.11.0%2Bxpu-cp312-cp312-win_amd64.whl ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.11.0%2Bxpu-cp313-cp313-win_amd64.whl ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"bitsandbytes @ https://github.com/bitsandbytes-foundation/bitsandbytes/releases/download/continuous-release_main/bitsandbytes-1.33.7.preview-py3-none-manylinux_2_24_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"bitsandbytes @ https://github.com/bitsandbytes-foundation/bitsandbytes/releases/download/continuous-release_main/bitsandbytes-1.33.7.preview-py3-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.26.0%2Bxpu-cp310-cp310-manylinux_2_28_x86_64.whl#sha256=6e634354b752b7366e8ad16b84f3e7e5863776a7ab448bbabae4fd36668dee7a ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.26.0%2Bxpu-cp311-cp311-manylinux_2_28_x86_64.whl#sha256=293169899f562ce473a58836dd024f0b1e72a347400278287ab393d1b04991e4 ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.26.0%2Bxpu-cp312-cp312-manylinux_2_28_x86_64.whl#sha256=e204d14be6f0f84d5f0e6e9213556e80326c3ab682cac108bcbef340bf45297b ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.26.0%2Bxpu-cp313-cp313-manylinux_2_28_x86_64.whl#sha256=f134344006f0989a2d771554b7905fb05bd93d63b195e64626fde3495ec6f287 ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.26.0%2Bxpu-cp310-cp310-win_amd64.whl#sha256=7e52729cb9736c66dc79a7f42de6b31db93b9161d3357fd34cfa33f5fe32b8ea ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.26.0%2Bxpu-cp311-cp311-win_amd64.whl#sha256=83a6130100c6b6750d8aa9fd29e5d0c53b1c85b1153b8ed4139aea54fc1892cc ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.26.0%2Bxpu-cp312-cp312-win_amd64.whl#sha256=03788e0e5a5b85a2f09d11f0263d579fcb0cf5623d8810149be0e37836c2738c ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.26.0%2Bxpu-cp313-cp313-win_amd64.whl#sha256=cb1da1d378ce440f7d1e0ed8cf21bd280d904ab25a55c9453f8377825818df74 ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
]
|
||||
intel-gpu-torch2110 = [
|
||||
"unsloth[intelgputorch2110]"
|
||||
]
|
||||
intelgputorch2120 = [
|
||||
"unsloth_zoo[intelgpu]",
|
||||
"unsloth[huggingfacenotorch]",
|
||||
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=844d981cb1b3948085e8cfa62c74de9f100259f6131959aa70be49123b88ae81 ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=a16b1d00e94ad87d62af3512e390348b8656419598004100c56028bf494f086b ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=4e46e71e077cf483404a4c17ce40d71c5f0e13a81459139d4346ca427b1dd455 ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl#sha256=4fdaed1bafc51d3a2834656a3420a6686a74ea226508765a49bf15d58ff3a930 ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.1-cp310-cp310-win_amd64.whl#sha256=2778b46b22e9fa0916398db299a125027a1b2331c1173b3dd2b9e2cab6263a31 ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.1-cp311-cp311-win_amd64.whl#sha256=ad5b147d04ee0d40f3d4d32f85f5aa3a3beb6cd5799ca026d3d7f4afa3d9e24f ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.1-cp312-cp312-win_amd64.whl#sha256=d9482063af2a308543f23333e32edd738ea87cbb33ade68afda9ae0fd704ccd9 ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"triton-xpu @ https://download.pytorch.org/whl/triton_xpu-3.7.1-cp313-cp313-win_amd64.whl#sha256=5d4d67f0deb1e851c01b293e602b8dcddad26ca2be61221cee3dc0e1aa0cdefd ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.12.0%2Bxpu-cp310-cp310-linux_x86_64.whl#sha256=e8923cd1fe560472904b1461b745d2f1826bb9c1bc0808225d5f28a450e4d553 ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.12.0%2Bxpu-cp311-cp311-linux_x86_64.whl#sha256=f7c082b2fc9b61def594d30ea57762dc4a8bc7111a9a9593953ed948de242e28 ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.12.0%2Bxpu-cp312-cp312-linux_x86_64.whl#sha256=f59decc04bec27862ed0197554a52370dbcba3e6892616d1fbce450e402bf2d5 ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.12.0%2Bxpu-cp313-cp313-linux_x86_64.whl#sha256=56f74e7c6c096e1a7ac215eb79ee590b764be3fbba8f4febc145bca47194a083 ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.12.0%2Bxpu-cp310-cp310-win_amd64.whl#sha256=b9779b71457b5a916ae052ed2467c10273cae4862d469b191359173b2038c53e ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.12.0%2Bxpu-cp311-cp311-win_amd64.whl#sha256=7ef8e776c992e4e3ae007ebc108eb4f36b1d1dd9da97ecb308ab7fded89a2659 ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.12.0%2Bxpu-cp312-cp312-win_amd64.whl#sha256=7f1d40febf2b8724adf4ff23866897d87478cc43de2a20f7776dc00be334c464 ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torch @ https://download.pytorch.org/whl/xpu/torch-2.12.0%2Bxpu-cp313-cp313-win_amd64.whl#sha256=32770e2613df26e2c81ae64ea001b2ca12b8d152231285caff9b5f963a21ad75 ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"bitsandbytes @ https://github.com/bitsandbytes-foundation/bitsandbytes/releases/download/continuous-release_main/bitsandbytes-1.33.7.preview-py3-none-manylinux_2_24_x86_64.whl ; ('linux' in sys_platform) and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"bitsandbytes @ https://github.com/bitsandbytes-foundation/bitsandbytes/releases/download/continuous-release_main/bitsandbytes-1.33.7.preview-py3-none-win_amd64.whl ; (sys_platform == 'win32') and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.27.0%2Bxpu-cp310-cp310-manylinux_2_28_x86_64.whl#sha256=0d517462caf6f5201c0d7c880f4ac431783c88fcc59b4587836da6c72a89509c ; platform_system == 'Linux' and python_version == '3.10' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.27.0%2Bxpu-cp311-cp311-manylinux_2_28_x86_64.whl#sha256=4b6feada86aa0bd606904b05898b33538106120d8ed706ba11d0011046534cb8 ; platform_system == 'Linux' and python_version == '3.11' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.27.0%2Bxpu-cp312-cp312-manylinux_2_28_x86_64.whl#sha256=e231819be0f87829c2344c909c1f0db9d6ae7d6faefe644a526a1a01d0c18d98 ; platform_system == 'Linux' and python_version == '3.12' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.27.0%2Bxpu-cp313-cp313-manylinux_2_28_x86_64.whl#sha256=8bc7d37515cea18af4c389d5fde58b1a9d76b015f2d87e4a7dc62ad50b1cc200 ; platform_system == 'Linux' and python_version == '3.13' and platform_machine == 'x86_64'",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.27.0%2Bxpu-cp310-cp310-win_amd64.whl#sha256=65dbb041057dddfe369f29cfaab63f75563621779a23a7b1e2c0ff8a84d4376a ; sys_platform == 'win32' and python_version == '3.10' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.27.0%2Bxpu-cp311-cp311-win_amd64.whl#sha256=df647445365924d69fe3bb2a15a7edfe5b63ef91e4ae69af11d93582985237a4 ; sys_platform == 'win32' and python_version == '3.11' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.27.0%2Bxpu-cp312-cp312-win_amd64.whl#sha256=b0db3df0d0d154d18ba988ab420f1da2549f9372113ff54ff66e4ae3c7fe3bd0 ; sys_platform == 'win32' and python_version == '3.12' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
"torchvision @ https://download.pytorch.org/whl/xpu/torchvision-0.27.0%2Bxpu-cp313-cp313-win_amd64.whl#sha256=c70850842068c43a0d50eaf139c25b6f6cc9b17a0dae70218c7e69edbee0bc80 ; sys_platform == 'win32' and python_version == '3.13' and (platform_machine == 'AMD64' or platform_machine == 'x86_64')",
|
||||
]
|
||||
intel-gpu-torch2120 = [
|
||||
"unsloth[intelgputorch2120]"
|
||||
]
|
||||
intel = [
|
||||
"unsloth[intelgputorch280]",
|
||||
]
|
||||
|
|
|
|||
1195
scripts/check_frontend_dep_removal.py
Normal file
1195
scripts/check_frontend_dep_removal.py
Normal file
File diff suppressed because it is too large
Load diff
433
studio/frontend/package-lock.json
generated
433
studio/frontend/package-lock.json
generated
|
|
@ -10,8 +10,6 @@
|
|||
"dependencies": {
|
||||
"@assistant-ui/core": "0.1.17",
|
||||
"@assistant-ui/react": "0.12.28",
|
||||
"@assistant-ui/react-markdown": "0.12.11",
|
||||
"@assistant-ui/react-streamdown": "0.1.11",
|
||||
"@assistant-ui/tap": "0.5.10",
|
||||
"@base-ui/react": "^1.2.0",
|
||||
"@dagrejs/dagre": "^2.0.4",
|
||||
|
|
@ -22,13 +20,11 @@
|
|||
"@hugeicons/core-free-icons": "^4.1.1",
|
||||
"@hugeicons/react": "^1.1.5",
|
||||
"@huggingface/hub": "^2.9.0",
|
||||
"@langchain/core": "^1.1.27",
|
||||
"@radix-ui/react-checkbox": "^1.3.3",
|
||||
"@radix-ui/react-label": "^2.1.8",
|
||||
"@radix-ui/react-select": "^2.2.6",
|
||||
"@radix-ui/react-separator": "^1.1.8",
|
||||
"@radix-ui/react-slot": "^1.2.4",
|
||||
"@streamdown/cjk": "1.0.3",
|
||||
"@streamdown/code": "1.1.1",
|
||||
"@streamdown/math": "1.0.2",
|
||||
"@streamdown/mermaid": "1.0.2",
|
||||
|
|
@ -42,14 +38,12 @@
|
|||
"@tauri-apps/plugin-process": "^2.3.1",
|
||||
"@tauri-apps/plugin-updater": "^2.10.1",
|
||||
"@toolwind/corner-shape": "^0.0.8-3",
|
||||
"@types/canvas-confetti": "^1.9.0",
|
||||
"@xyflow/react": "^12.10.0",
|
||||
"assistant-stream": "0.3.12",
|
||||
"canvas-confetti": "^1.9.4",
|
||||
"class-variance-authority": "^0.7.1",
|
||||
"clsx": "^2.1.1",
|
||||
"cmdk": "^1.1.1",
|
||||
"date-fns": "^4.1.0",
|
||||
"dexie": "^4.3.0",
|
||||
"js-yaml": "^4.1.1",
|
||||
"katex": "^0.16.28",
|
||||
|
|
@ -64,7 +58,6 @@
|
|||
"react-dom": "^19.2.4",
|
||||
"react-resizable-panels": "^4.6.4",
|
||||
"recharts": "3.7.0",
|
||||
"remark-gfm": "^4.0.1",
|
||||
"shadcn": "^4.2.0",
|
||||
"sonner": "^2.0.7",
|
||||
"streamdown": "2.5.0",
|
||||
|
|
@ -78,6 +71,7 @@
|
|||
"devDependencies": {
|
||||
"@biomejs/biome": "^1.9.4",
|
||||
"@eslint/js": "^9.39.1",
|
||||
"@types/canvas-confetti": "^1.9.0",
|
||||
"@types/js-yaml": "^4.0.9",
|
||||
"@types/node": "^25.5.2",
|
||||
"@types/node-forge": "^1.3.14",
|
||||
|
|
@ -88,7 +82,6 @@
|
|||
"eslint-plugin-react-hooks": "^7.0.1",
|
||||
"eslint-plugin-react-refresh": "^0.5.2",
|
||||
"globals": "^17.4.0",
|
||||
"playwright": "^1.59.1",
|
||||
"typescript": "~5.9.3",
|
||||
"typescript-eslint": "^8.55.0",
|
||||
"vite": "^8.0.1"
|
||||
|
|
@ -180,66 +173,6 @@
|
|||
}
|
||||
}
|
||||
},
|
||||
"node_modules/@assistant-ui/react-markdown": {
|
||||
"version": "0.12.11",
|
||||
"resolved": "https://registry.npmjs.org/@assistant-ui/react-markdown/-/react-markdown-0.12.11.tgz",
|
||||
"integrity": "sha512-gYu4XVI2lX3lp9UG7V5VWP1+eO7SZomiBKsAZOKUOeuwn/hoL+J0vFY52FUgJixdF2R8NPPto2lb98DmJE70lA==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@radix-ui/react-primitive": "^2.1.4",
|
||||
"@radix-ui/react-use-callback-ref": "^1.1.1",
|
||||
"classnames": "^2.5.1",
|
||||
"react-markdown": "^10.1.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@assistant-ui/react": "^0.12.26",
|
||||
"@types/react": "*",
|
||||
"react": "^18 || ^19"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"@types/react": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/@assistant-ui/react-streamdown": {
|
||||
"version": "0.1.11",
|
||||
"resolved": "https://registry.npmjs.org/@assistant-ui/react-streamdown/-/react-streamdown-0.1.11.tgz",
|
||||
"integrity": "sha512-9y+89ZxotYSt81hChSVjK2kwUYRKq7UW/r5qoqZTpcb7119gc0NOj0dx9xxuyXE2QfR6EY8rW6yBz3g+Y7RrhQ==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"rehype-harden": "^1.1.8",
|
||||
"rehype-raw": "^7.0.0",
|
||||
"rehype-sanitize": "^6.0.0",
|
||||
"streamdown": "^2.5.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@assistant-ui/react": "^0.12.26",
|
||||
"@streamdown/cjk": "^1.0.0",
|
||||
"@streamdown/code": "^1.0.0",
|
||||
"@streamdown/math": "^1.0.0",
|
||||
"@streamdown/mermaid": "^1.0.0",
|
||||
"@types/react": "*",
|
||||
"react": "^18 || ^19"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"@streamdown/cjk": {
|
||||
"optional": true
|
||||
},
|
||||
"@streamdown/code": {
|
||||
"optional": true
|
||||
},
|
||||
"@streamdown/math": {
|
||||
"optional": true
|
||||
},
|
||||
"@streamdown/mermaid": {
|
||||
"optional": true
|
||||
},
|
||||
"@types/react": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/@assistant-ui/store": {
|
||||
"version": "0.2.9",
|
||||
"resolved": "https://registry.npmjs.org/@assistant-ui/store/-/store-0.2.9.tgz",
|
||||
|
|
@ -921,12 +854,6 @@
|
|||
"integrity": "sha512-jigsZK+sMF/cuiB7sERuo9V7N9jx+dhmHHnQyDSVdpZwVutaBu7WvNYqMDLSgFgfB30n452TP3vjDAvFC973mA==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/@cfworker/json-schema": {
|
||||
"version": "4.1.1",
|
||||
"resolved": "https://registry.npmjs.org/@cfworker/json-schema/-/json-schema-4.1.1.tgz",
|
||||
"integrity": "sha512-gAmrUZSGtKc3AiBL71iNWxDsyUC5uMaKKGdvzYsBoTW/xi42JQHl7eKV2OYzCUqvc+D2RCcf7EXY2iCyFIk6og==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/@chevrotain/cst-dts-gen": {
|
||||
"version": "12.0.0",
|
||||
"resolved": "https://registry.npmjs.org/@chevrotain/cst-dts-gen/-/cst-dts-gen-12.0.0.tgz",
|
||||
|
|
@ -1668,27 +1595,6 @@
|
|||
"@jridgewell/sourcemap-codec": "^1.4.14"
|
||||
}
|
||||
},
|
||||
"node_modules/@langchain/core": {
|
||||
"version": "1.1.44",
|
||||
"resolved": "https://registry.npmjs.org/@langchain/core/-/core-1.1.44.tgz",
|
||||
"integrity": "sha512-RePW1IjGCHr9ua2vcby3aE8mOOz3EnwDZxMEGbNDT91kf14eqkJqxDXvaZFviGdcN9DTrxM5RPQNAHmwSm4tbg==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@cfworker/json-schema": "^4.0.2",
|
||||
"@standard-schema/spec": "^1.1.0",
|
||||
"ansi-styles": "^5.0.0",
|
||||
"camelcase": "6",
|
||||
"decamelize": "1.2.0",
|
||||
"js-tiktoken": "^1.0.12",
|
||||
"langsmith": ">=0.5.0 <1.0.0",
|
||||
"mustache": "^4.2.0",
|
||||
"p-queue": "^6.6.2",
|
||||
"zod": "^3.25.76 || ^4"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=20"
|
||||
}
|
||||
},
|
||||
"node_modules/@mermaid-js/parser": {
|
||||
"version": "1.1.0",
|
||||
"resolved": "https://registry.npmjs.org/@mermaid-js/parser/-/parser-1.1.0.tgz",
|
||||
|
|
@ -5799,20 +5705,6 @@
|
|||
"integrity": "sha512-e7Mew686owMaPJVNNLs55PUvgz371nKgwsc4vxE49zsODpJEnxgxRo2y/OKrqueavXgZNMDVj3DdHFlaSAeU8g==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/@streamdown/cjk": {
|
||||
"version": "1.0.3",
|
||||
"resolved": "https://registry.npmjs.org/@streamdown/cjk/-/cjk-1.0.3.tgz",
|
||||
"integrity": "sha512-WRg8HR/gHbBoTgsMd91OKFUClIoDcEFVofJvluvEAyjx3KpU0aGgD9tGDqHkHj14ShoMSkX0IYetWGegTcwIJw==",
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"remark-cjk-friendly": "^2.0.1",
|
||||
"remark-cjk-friendly-gfm-strikethrough": "^2.0.1",
|
||||
"unist-util-visit": "^5.0.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"react": "^18.0.0 || ^19.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/@streamdown/code": {
|
||||
"version": "1.1.1",
|
||||
"resolved": "https://registry.npmjs.org/@streamdown/code/-/code-1.1.1.tgz",
|
||||
|
|
@ -6431,6 +6323,7 @@
|
|||
"version": "1.9.0",
|
||||
"resolved": "https://registry.npmjs.org/@types/canvas-confetti/-/canvas-confetti-1.9.0.tgz",
|
||||
"integrity": "sha512-aBGj/dULrimR1XDZLtG9JwxX1b4HPRF6CX9Yfwh3NvstZEm1ZL7RBnel4keCPSqs1ANRu1u2Aoz9R+VmtjYuTg==",
|
||||
"dev": true,
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/@types/d3": {
|
||||
|
|
@ -6783,6 +6676,7 @@
|
|||
"version": "19.2.14",
|
||||
"resolved": "https://registry.npmjs.org/@types/react/-/react-19.2.14.tgz",
|
||||
"integrity": "sha512-ilcTH/UniCkMdtexkoCN0bI7pMcJDvmQFPvuPvmEaYA/NSfFTAgdUSLAoVjaRJm7+6PvcM+q1zYOwS4wTYMF9w==",
|
||||
"devOptional": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"csstype": "^3.2.2"
|
||||
|
|
@ -7356,18 +7250,6 @@
|
|||
"url": "https://github.com/chalk/ansi-regex?sponsor=1"
|
||||
}
|
||||
},
|
||||
"node_modules/ansi-styles": {
|
||||
"version": "5.2.0",
|
||||
"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-5.2.0.tgz",
|
||||
"integrity": "sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=10"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/chalk/ansi-styles?sponsor=1"
|
||||
}
|
||||
},
|
||||
"node_modules/argparse": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/argparse/-/argparse-2.0.1.tgz",
|
||||
|
|
@ -7631,18 +7513,6 @@
|
|||
"node": ">=6"
|
||||
}
|
||||
},
|
||||
"node_modules/camelcase": {
|
||||
"version": "6.3.0",
|
||||
"resolved": "https://registry.npmjs.org/camelcase/-/camelcase-6.3.0.tgz",
|
||||
"integrity": "sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=10"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
}
|
||||
},
|
||||
"node_modules/caniuse-lite": {
|
||||
"version": "1.0.30001791",
|
||||
"resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001791.tgz",
|
||||
|
|
@ -7802,12 +7672,6 @@
|
|||
"integrity": "sha512-JhZUT7JFcQy/EzW605k/ktHtncoo9vnyW/2GspNYwFlN1C/WmjuV/xtS04e9SOkL2sTdw0VAZ2UGCcQ9lR6p6w==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/classnames": {
|
||||
"version": "2.5.1",
|
||||
"resolved": "https://registry.npmjs.org/classnames/-/classnames-2.5.1.tgz",
|
||||
"integrity": "sha512-saHYOzhIQs6wy2sVxTM6bUDsQO4F50V9RQ22qBpEdCW+I+/Wmke2HOl6lS6dTpdxVhb88/I6+Hs+438c3lfUow==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/cli-cursor": {
|
||||
"version": "5.0.0",
|
||||
"resolved": "https://registry.npmjs.org/cli-cursor/-/cli-cursor-5.0.0.tgz",
|
||||
|
|
@ -8113,6 +7977,7 @@
|
|||
"version": "3.2.3",
|
||||
"resolved": "https://registry.npmjs.org/csstype/-/csstype-3.2.3.tgz",
|
||||
"integrity": "sha512-z1HGKcYy2xA8AGQfwrn0PAy+PB7X/GSj3UVJW9qKyn43xWa+gl5nXmU4qqLMRzWVLFC8KusUX8T/0kCiOYpAIQ==",
|
||||
"devOptional": true,
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/cytoscape": {
|
||||
|
|
@ -8671,15 +8536,6 @@
|
|||
}
|
||||
}
|
||||
},
|
||||
"node_modules/decamelize": {
|
||||
"version": "1.2.0",
|
||||
"resolved": "https://registry.npmjs.org/decamelize/-/decamelize-1.2.0.tgz",
|
||||
"integrity": "sha512-z2S+W9X73hAUUki+N+9Za2lBlun89zigOyGrsax+KUQ6wKW4ZoWpEYBkGhQjwAjjDCkWxhY0VKEhk8wzY7F5cA==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=0.10.0"
|
||||
}
|
||||
},
|
||||
"node_modules/decimal.js-light": {
|
||||
"version": "2.5.1",
|
||||
"resolved": "https://registry.npmjs.org/decimal.js-light/-/decimal.js-light-2.5.1.tgz",
|
||||
|
|
@ -9260,12 +9116,6 @@
|
|||
"node": ">= 0.6"
|
||||
}
|
||||
},
|
||||
"node_modules/eventemitter3": {
|
||||
"version": "4.0.7",
|
||||
"resolved": "https://registry.npmjs.org/eventemitter3/-/eventemitter3-4.0.7.tgz",
|
||||
"integrity": "sha512-8guHBZCwKnFhYdHr2ysuRWErTwhoN2X8XELRlrRwpmfeY2jjuUN4taQMsULKUVo1K4DvZl+0pgfyoysHxvmvEw==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/eventsource": {
|
||||
"version": "3.0.7",
|
||||
"resolved": "https://registry.npmjs.org/eventsource/-/eventsource-3.0.7.tgz",
|
||||
|
|
@ -9687,21 +9537,6 @@
|
|||
"node": ">=14.14"
|
||||
}
|
||||
},
|
||||
"node_modules/fsevents": {
|
||||
"version": "2.3.2",
|
||||
"resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.2.tgz",
|
||||
"integrity": "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==",
|
||||
"dev": true,
|
||||
"hasInstallScript": true,
|
||||
"license": "MIT",
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
],
|
||||
"engines": {
|
||||
"node": "^8.16.0 || ^10.6.0 || >=11.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/function-bind": {
|
||||
"version": "1.1.2",
|
||||
"resolved": "https://registry.npmjs.org/function-bind/-/function-bind-1.1.2.tgz",
|
||||
|
|
@ -10636,15 +10471,6 @@
|
|||
"url": "https://github.com/sponsors/panva"
|
||||
}
|
||||
},
|
||||
"node_modules/js-tiktoken": {
|
||||
"version": "1.0.21",
|
||||
"resolved": "https://registry.npmjs.org/js-tiktoken/-/js-tiktoken-1.0.21.tgz",
|
||||
"integrity": "sha512-biOj/6M5qdgx5TKjDnFT1ymSpM5tbd3ylwDtrQvFQSu0Z7bBYko2dF+W/aUkXUPuk6IVpRxk/3Q2sHOzGlS36g==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"base64-js": "^1.5.1"
|
||||
}
|
||||
},
|
||||
"node_modules/js-tokens": {
|
||||
"version": "4.0.0",
|
||||
"resolved": "https://registry.npmjs.org/js-tokens/-/js-tokens-4.0.0.tgz",
|
||||
|
|
@ -10802,39 +10628,6 @@
|
|||
"npm": ">=10.2.3"
|
||||
}
|
||||
},
|
||||
"node_modules/langsmith": {
|
||||
"version": "0.6.1",
|
||||
"resolved": "https://registry.npmjs.org/langsmith/-/langsmith-0.6.1.tgz",
|
||||
"integrity": "sha512-qNBNPRFqScIlGaPGfMrxhw/GTOL4GJKMp1P4jeA3xuI+Gkj5Ei3wvOtxpYaZMTeBbXTW3yi4n4Wf3nCgogvttg==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"p-queue": "6.6.2"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@opentelemetry/api": "*",
|
||||
"@opentelemetry/exporter-trace-otlp-proto": "*",
|
||||
"@opentelemetry/sdk-trace-base": "*",
|
||||
"openai": "*",
|
||||
"ws": ">=7"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"@opentelemetry/api": {
|
||||
"optional": true
|
||||
},
|
||||
"@opentelemetry/exporter-trace-otlp-proto": {
|
||||
"optional": true
|
||||
},
|
||||
"@opentelemetry/sdk-trace-base": {
|
||||
"optional": true
|
||||
},
|
||||
"openai": {
|
||||
"optional": true
|
||||
},
|
||||
"ws": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/layout-base": {
|
||||
"version": "1.0.2",
|
||||
"resolved": "https://registry.npmjs.org/layout-base/-/layout-base-1.0.2.tgz",
|
||||
|
|
@ -11735,77 +11528,6 @@
|
|||
"micromark-util-types": "^2.0.0"
|
||||
}
|
||||
},
|
||||
"node_modules/micromark-extension-cjk-friendly": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/micromark-extension-cjk-friendly/-/micromark-extension-cjk-friendly-2.0.1.tgz",
|
||||
"integrity": "sha512-OkzoYVTL1ChbvQ8Cc1ayTIz7paFQz8iS9oIYmewncweUSwmWR+hkJF9spJ1lxB90XldJl26A1F4IkPOKS3bDXw==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"devlop": "^1.1.0",
|
||||
"micromark-extension-cjk-friendly-util": "3.0.1",
|
||||
"micromark-util-chunked": "^2.0.1",
|
||||
"micromark-util-resolve-all": "^2.0.1",
|
||||
"micromark-util-symbol": "^2.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"micromark": "^4.0.0",
|
||||
"micromark-util-types": "^2.0.0"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"micromark-util-types": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/micromark-extension-cjk-friendly-gfm-strikethrough": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/micromark-extension-cjk-friendly-gfm-strikethrough/-/micromark-extension-cjk-friendly-gfm-strikethrough-2.0.1.tgz",
|
||||
"integrity": "sha512-wVC0zwjJNqQeX+bb07YTPu/CvSAyCTafyYb7sMhX1r62/Lw5M/df3JyYaANyp8g15c1ypJRFSsookTqA1IDsUg==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"devlop": "^1.1.0",
|
||||
"get-east-asian-width": "^1.4.0",
|
||||
"micromark-extension-cjk-friendly-util": "3.0.1",
|
||||
"micromark-util-character": "^2.1.1",
|
||||
"micromark-util-chunked": "^2.0.1",
|
||||
"micromark-util-resolve-all": "^2.0.1",
|
||||
"micromark-util-symbol": "^2.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"micromark": "^4.0.0",
|
||||
"micromark-util-types": "^2.0.0"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"micromark-util-types": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/micromark-extension-cjk-friendly-util": {
|
||||
"version": "3.0.1",
|
||||
"resolved": "https://registry.npmjs.org/micromark-extension-cjk-friendly-util/-/micromark-extension-cjk-friendly-util-3.0.1.tgz",
|
||||
"integrity": "sha512-GcbXqTTHOsiZHyF753oIddP/J2eH8j9zpyQPhkof6B2JNxfEJabnQqxbCgzJNuNes0Y2jTNJ3LiYPSXr6eJA8w==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"get-east-asian-width": "^1.4.0",
|
||||
"micromark-util-character": "^2.1.1",
|
||||
"micromark-util-symbol": "^2.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"micromark-util-types": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/micromark-extension-gfm": {
|
||||
"version": "3.0.0",
|
||||
"resolved": "https://registry.npmjs.org/micromark-extension-gfm/-/micromark-extension-gfm-3.0.0.tgz",
|
||||
|
|
@ -12528,15 +12250,6 @@
|
|||
"url": "https://opencollective.com/express"
|
||||
}
|
||||
},
|
||||
"node_modules/mustache": {
|
||||
"version": "4.2.0",
|
||||
"resolved": "https://registry.npmjs.org/mustache/-/mustache-4.2.0.tgz",
|
||||
"integrity": "sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ==",
|
||||
"license": "MIT",
|
||||
"bin": {
|
||||
"mustache": "bin/mustache"
|
||||
}
|
||||
},
|
||||
"node_modules/mute-stream": {
|
||||
"version": "3.0.0",
|
||||
"resolved": "https://registry.npmjs.org/mute-stream/-/mute-stream-3.0.0.tgz",
|
||||
|
|
@ -12862,15 +12575,6 @@
|
|||
"integrity": "sha512-+Sl2UErvtsoajRDKCE5/dBz4DIvHXQQnAxtQTF04OJxY0+DyZXSo5P5Bb7XYWOh81syohlYL24hbDwxedPUJCA==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/p-finally": {
|
||||
"version": "1.0.0",
|
||||
"resolved": "https://registry.npmjs.org/p-finally/-/p-finally-1.0.0.tgz",
|
||||
"integrity": "sha512-LICb2p9CB7FS+0eR1oqWnHhp0FljGLZCWBE9aix0Uye9W8LTQPwMTYVGWQWIw9RdQiDg4+epXQODwIYJtSJaow==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=4"
|
||||
}
|
||||
},
|
||||
"node_modules/p-limit": {
|
||||
"version": "3.1.0",
|
||||
"resolved": "https://registry.npmjs.org/p-limit/-/p-limit-3.1.0.tgz",
|
||||
|
|
@ -12903,34 +12607,6 @@
|
|||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
}
|
||||
},
|
||||
"node_modules/p-queue": {
|
||||
"version": "6.6.2",
|
||||
"resolved": "https://registry.npmjs.org/p-queue/-/p-queue-6.6.2.tgz",
|
||||
"integrity": "sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"eventemitter3": "^4.0.4",
|
||||
"p-timeout": "^3.2.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=8"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
}
|
||||
},
|
||||
"node_modules/p-timeout": {
|
||||
"version": "3.2.0",
|
||||
"resolved": "https://registry.npmjs.org/p-timeout/-/p-timeout-3.2.0.tgz",
|
||||
"integrity": "sha512-rhIwUycgwwKcP9yTOOFK/AKsAopjjCakVqLHePO3CC6Mir1Z99xT+R63jZxAT5lFZLa2inS5h+ZS2GvR99/FBg==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"p-finally": "^1.0.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=8"
|
||||
}
|
||||
},
|
||||
"node_modules/package-manager-detector": {
|
||||
"version": "1.6.0",
|
||||
"resolved": "https://registry.npmjs.org/package-manager-detector/-/package-manager-detector-1.6.0.tgz",
|
||||
|
|
@ -13121,38 +12797,6 @@
|
|||
"pathe": "^2.0.1"
|
||||
}
|
||||
},
|
||||
"node_modules/playwright": {
|
||||
"version": "1.59.1",
|
||||
"resolved": "https://registry.npmjs.org/playwright/-/playwright-1.59.1.tgz",
|
||||
"integrity": "sha512-C8oWjPR3F81yljW9o5OxcWzfh6avkVwDD2VYdwIGqTkl+OGFISgypqzfu7dOe4QNLL2aqcWBmI3PMtLIK233lw==",
|
||||
"dev": true,
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"playwright-core": "1.59.1"
|
||||
},
|
||||
"bin": {
|
||||
"playwright": "cli.js"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"fsevents": "2.3.2"
|
||||
}
|
||||
},
|
||||
"node_modules/playwright-core": {
|
||||
"version": "1.59.1",
|
||||
"resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.59.1.tgz",
|
||||
"integrity": "sha512-HBV/RJg81z5BiiZ9yPzIiClYV/QMsDCKUyogwH9p3MCP6IYjUFu/MActgYAvK0oWyV9NlwM3GLBjADyWgydVyg==",
|
||||
"dev": true,
|
||||
"license": "Apache-2.0",
|
||||
"bin": {
|
||||
"playwright-core": "cli.js"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
}
|
||||
},
|
||||
"node_modules/points-on-curve": {
|
||||
"version": "0.2.0",
|
||||
"resolved": "https://registry.npmjs.org/points-on-curve/-/points-on-curve-0.2.0.tgz",
|
||||
|
|
@ -13584,33 +13228,6 @@
|
|||
"license": "MIT",
|
||||
"peer": true
|
||||
},
|
||||
"node_modules/react-markdown": {
|
||||
"version": "10.1.0",
|
||||
"resolved": "https://registry.npmjs.org/react-markdown/-/react-markdown-10.1.0.tgz",
|
||||
"integrity": "sha512-qKxVopLT/TyA6BX3Ue5NwabOsAzm0Q7kAPwq6L+wWDwisYs7R8vZ0nRXqq6rkueboxpkjvLGU9fWifiX/ZZFxQ==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@types/hast": "^3.0.0",
|
||||
"@types/mdast": "^4.0.0",
|
||||
"devlop": "^1.0.0",
|
||||
"hast-util-to-jsx-runtime": "^2.0.0",
|
||||
"html-url-attributes": "^3.0.0",
|
||||
"mdast-util-to-hast": "^13.0.0",
|
||||
"remark-parse": "^11.0.0",
|
||||
"remark-rehype": "^11.0.0",
|
||||
"unified": "^11.0.0",
|
||||
"unist-util-visit": "^5.0.0",
|
||||
"vfile": "^6.0.0"
|
||||
},
|
||||
"funding": {
|
||||
"type": "opencollective",
|
||||
"url": "https://opencollective.com/unified"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@types/react": ">=18",
|
||||
"react": ">=18"
|
||||
}
|
||||
},
|
||||
"node_modules/react-redux": {
|
||||
"version": "9.2.0",
|
||||
"resolved": "https://registry.npmjs.org/react-redux/-/react-redux-9.2.0.tgz",
|
||||
|
|
@ -13893,48 +13510,6 @@
|
|||
"url": "https://opencollective.com/unified"
|
||||
}
|
||||
},
|
||||
"node_modules/remark-cjk-friendly": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/remark-cjk-friendly/-/remark-cjk-friendly-2.0.1.tgz",
|
||||
"integrity": "sha512-6WwkoQyZf/4j5k53zdFYrR8Ca+UVn992jXdLUSBDZR4eBpFhKyVxmA4gUHra/5fesjGIxrDhHesNr/sVoiiysA==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"micromark-extension-cjk-friendly": "2.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@types/mdast": "^4.0.0",
|
||||
"unified": "^11.0.0"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"@types/mdast": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/remark-cjk-friendly-gfm-strikethrough": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/remark-cjk-friendly-gfm-strikethrough/-/remark-cjk-friendly-gfm-strikethrough-2.0.1.tgz",
|
||||
"integrity": "sha512-pWKj25O2eLXIL1aBupayl1fKhco+Brw8qWUWJPVB9EBzbQNd7nGLj0nLmJpggWsGLR5j5y40PIdjxby9IEYTuA==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"micromark-extension-cjk-friendly-gfm-strikethrough": "2.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@types/mdast": "^4.0.0",
|
||||
"unified": "^11.0.0"
|
||||
},
|
||||
"peerDependenciesMeta": {
|
||||
"@types/mdast": {
|
||||
"optional": true
|
||||
}
|
||||
}
|
||||
},
|
||||
"node_modules/remark-gfm": {
|
||||
"version": "4.0.1",
|
||||
"resolved": "https://registry.npmjs.org/remark-gfm/-/remark-gfm-4.0.1.tgz",
|
||||
|
|
|
|||
|
|
@ -18,8 +18,6 @@
|
|||
"dependencies": {
|
||||
"@assistant-ui/core": "0.1.17",
|
||||
"@assistant-ui/react": "0.12.28",
|
||||
"@assistant-ui/react-markdown": "0.12.11",
|
||||
"@assistant-ui/react-streamdown": "0.1.11",
|
||||
"@assistant-ui/tap": "0.5.10",
|
||||
"@base-ui/react": "^1.2.0",
|
||||
"@dagrejs/dagre": "^2.0.4",
|
||||
|
|
@ -30,13 +28,11 @@
|
|||
"@hugeicons/core-free-icons": "^4.1.1",
|
||||
"@hugeicons/react": "^1.1.5",
|
||||
"@huggingface/hub": "^2.9.0",
|
||||
"@langchain/core": "^1.1.27",
|
||||
"@radix-ui/react-checkbox": "^1.3.3",
|
||||
"@radix-ui/react-label": "^2.1.8",
|
||||
"@radix-ui/react-select": "^2.2.6",
|
||||
"@radix-ui/react-separator": "^1.1.8",
|
||||
"@radix-ui/react-slot": "^1.2.4",
|
||||
"@streamdown/cjk": "1.0.3",
|
||||
"@streamdown/code": "1.1.1",
|
||||
"@streamdown/math": "1.0.2",
|
||||
"@streamdown/mermaid": "1.0.2",
|
||||
|
|
@ -50,14 +46,12 @@
|
|||
"@tauri-apps/plugin-process": "^2.3.1",
|
||||
"@tauri-apps/plugin-updater": "^2.10.1",
|
||||
"@toolwind/corner-shape": "^0.0.8-3",
|
||||
"@types/canvas-confetti": "^1.9.0",
|
||||
"@xyflow/react": "^12.10.0",
|
||||
"assistant-stream": "0.3.12",
|
||||
"canvas-confetti": "^1.9.4",
|
||||
"class-variance-authority": "^0.7.1",
|
||||
"clsx": "^2.1.1",
|
||||
"cmdk": "^1.1.1",
|
||||
"date-fns": "^4.1.0",
|
||||
"dexie": "^4.3.0",
|
||||
"js-yaml": "^4.1.1",
|
||||
"katex": "^0.16.28",
|
||||
|
|
@ -72,7 +66,6 @@
|
|||
"react-dom": "^19.2.4",
|
||||
"react-resizable-panels": "^4.6.4",
|
||||
"recharts": "3.7.0",
|
||||
"remark-gfm": "^4.0.1",
|
||||
"shadcn": "^4.2.0",
|
||||
"sonner": "^2.0.7",
|
||||
"streamdown": "2.5.0",
|
||||
|
|
@ -91,6 +84,7 @@
|
|||
"devDependencies": {
|
||||
"@biomejs/biome": "^1.9.4",
|
||||
"@eslint/js": "^9.39.1",
|
||||
"@types/canvas-confetti": "^1.9.0",
|
||||
"@types/js-yaml": "^4.0.9",
|
||||
"@types/node-forge": "^1.3.14",
|
||||
"@types/node": "^25.5.2",
|
||||
|
|
@ -101,7 +95,6 @@
|
|||
"eslint-plugin-react-hooks": "^7.0.1",
|
||||
"eslint-plugin-react-refresh": "^0.5.2",
|
||||
"globals": "^17.4.0",
|
||||
"playwright": "^1.59.1",
|
||||
"typescript": "~5.9.3",
|
||||
"typescript-eslint": "^8.55.0",
|
||||
"vite": "^8.0.1"
|
||||
|
|
|
|||
|
|
@ -246,13 +246,16 @@ export function ChatProvidersSettings({
|
|||
}
|
||||
return;
|
||||
}
|
||||
// Seed the registry's default_models for every provider — curated and
|
||||
// remote alike. For remote-mode providers, loadModels() will replace
|
||||
// this with the union of defaults + the live /models response once the
|
||||
// user clicks "Load Models"; until then (or if the call fails — e.g.
|
||||
// decryption issues during key rotation) the seeded list ensures
|
||||
// curated picks like claude-haiku-4-5 are always reachable.
|
||||
setAvailableModels([...entry.default_models]);
|
||||
// Seed default_models only when the catalog is not fetched live:
|
||||
// curated providers (catalog too large to enumerate, defaults are
|
||||
// the suggestion shortlist) and Ollama (local, no API key — local
|
||||
// /models stands in). Remote-mode cloud providers stay empty until
|
||||
// the user clicks "Load available models" with a key, since
|
||||
// different API tiers expose different catalogs and we don't want
|
||||
// to advertise models the user can't actually call.
|
||||
const seedDefaults =
|
||||
entry.model_list_mode === "curated" || providerType === "ollama";
|
||||
setAvailableModels(seedDefaults ? [...entry.default_models] : []);
|
||||
setSelectedModelIds([]);
|
||||
setManualModelIds("");
|
||||
setModelSearchQuery("");
|
||||
|
|
@ -362,8 +365,11 @@ export function ChatProvidersSettings({
|
|||
resetForm();
|
||||
const entry = providerType ? registryByType.get(providerType) : null;
|
||||
if (entry) {
|
||||
// Keep first-open behavior consistent with provider re-selection.
|
||||
setAvailableModels([...entry.default_models]);
|
||||
const seedDefaults =
|
||||
entry.model_list_mode === "curated" || providerType === "ollama";
|
||||
if (seedDefaults) {
|
||||
setAvailableModels([...entry.default_models]);
|
||||
}
|
||||
}
|
||||
setPage("form");
|
||||
}
|
||||
|
|
|
|||
|
|
@ -243,7 +243,7 @@ function loadSavedActivePreset(): string {
|
|||
}
|
||||
}
|
||||
|
||||
function InfoHint({ children }: { children: ReactNode }) {
|
||||
export function InfoHint({ children }: { children: ReactNode }) {
|
||||
return (
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@
|
|||
|
||||
"use client";
|
||||
|
||||
import { useCallback, useEffect, useMemo, useState } from "react";
|
||||
import { useCallback, useEffect, useMemo, useRef, useState } from "react";
|
||||
import { toast } from "sonner";
|
||||
import {
|
||||
AlertDialog,
|
||||
|
|
@ -43,7 +43,6 @@ import {
|
|||
} from "@/components/ui/alert-dialog";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Input } from "@/components/ui/input";
|
||||
import { Skeleton } from "@/components/ui/skeleton";
|
||||
import { TrashIcon, RefreshCwIcon, PlusIcon } from "lucide-react";
|
||||
import {
|
||||
createOpenAIContainer,
|
||||
|
|
@ -55,6 +54,7 @@ import { db } from "../db";
|
|||
import type { ExternalProviderConfig } from "../external-providers";
|
||||
import { useLiveQuery } from "../db";
|
||||
import { ensureThreadRecord } from "../runtime-provider";
|
||||
import { InfoHint } from "../chat-settings-sheet";
|
||||
|
||||
const AUTO_OPTION_VALUE = "__auto__";
|
||||
const DEFAULT_TTL_MINUTES = 20;
|
||||
|
|
@ -111,9 +111,6 @@ export function OpenAICodeExecSection({
|
|||
const [creating, setCreating] = useState(false);
|
||||
const [createOpen, setCreateOpen] = useState(false);
|
||||
const [createName, setCreateName] = useState("");
|
||||
const [createTtl, setCreateTtl] = useState<number>(
|
||||
provider.openaiContainerTtlMinutes ?? DEFAULT_TTL_MINUTES,
|
||||
);
|
||||
// Ids that have been deleted in this session. Once tombstoned, an id
|
||||
// stays hidden from the picker for the lifetime of the page — OpenAI's
|
||||
// /containers list can keep returning a freshly-deleted id for an
|
||||
|
|
@ -121,6 +118,22 @@ export function OpenAICodeExecSection({
|
|||
// creates more confusion than it solves. Refreshing the page resets
|
||||
// the tombstone naturally.
|
||||
const [tombstones, setTombstones] = useState<Set<string>>(() => new Set());
|
||||
// Ids optimistically inserted after a successful create but not yet
|
||||
// confirmed by a /v1/containers list response. OpenAI's list endpoint
|
||||
// is eventually consistent — a freshly-created container can be absent
|
||||
// for several seconds. We render the row immediately with a "Creating"
|
||||
// pill, then drop it from this set once a refresh sees the id.
|
||||
const [pendingIds, setPendingIds] = useState<Set<string>>(() => new Set());
|
||||
// Ref mirror so `refresh()` can read the current pending set without
|
||||
// re-binding when it changes (the callback is in a useEffect dep).
|
||||
const pendingIdsRef = useRef<Set<string>>(pendingIds);
|
||||
useEffect(() => {
|
||||
pendingIdsRef.current = pendingIds;
|
||||
}, [pendingIds]);
|
||||
// One-shot follow-up refresh scheduled after a create, to catch the
|
||||
// common case where the server list lags the create response by a few
|
||||
// seconds. Tracked so we can clear it on unmount.
|
||||
const pendingRetryRef = useRef<number | null>(null);
|
||||
// Target row for the destructive confirmation dialog. Held in state
|
||||
// (rather than blocking with window.confirm) so the dialog sits inside
|
||||
// the settings sheet instead of a native browser alert.
|
||||
|
|
@ -182,7 +195,24 @@ export function OpenAICodeExecSection({
|
|||
apiKey,
|
||||
baseUrl: provider.baseUrl || null,
|
||||
});
|
||||
setContainers(list);
|
||||
const serverIds = new Set(list.map((c) => c.id));
|
||||
setContainers((prev) => {
|
||||
// Preserve optimistic inserts the server hasn't acknowledged
|
||||
// yet so they don't disappear on the reconciling refresh.
|
||||
const orphans = prev.filter(
|
||||
(c) => !serverIds.has(c.id) && pendingIdsRef.current.has(c.id),
|
||||
);
|
||||
return orphans.length > 0 ? [...orphans, ...list] : list;
|
||||
});
|
||||
setPendingIds((prev) => {
|
||||
if (prev.size === 0) return prev;
|
||||
const next = new Set(prev);
|
||||
let changed = false;
|
||||
for (const id of serverIds) {
|
||||
if (next.delete(id)) changed = true;
|
||||
}
|
||||
return changed ? next : prev;
|
||||
});
|
||||
} catch (err) {
|
||||
toast.error(
|
||||
`Failed to list containers: ${err instanceof Error ? err.message : "Unknown"}`,
|
||||
|
|
@ -213,6 +243,10 @@ export function OpenAICodeExecSection({
|
|||
return () => {
|
||||
window.clearInterval(interval);
|
||||
document.removeEventListener("visibilitychange", onVisibility);
|
||||
if (pendingRetryRef.current != null) {
|
||||
window.clearTimeout(pendingRetryRef.current);
|
||||
pendingRetryRef.current = null;
|
||||
}
|
||||
};
|
||||
}, [refresh]);
|
||||
|
||||
|
|
@ -300,15 +334,43 @@ export function OpenAICodeExecSection({
|
|||
toast.error("Container name is required");
|
||||
return;
|
||||
}
|
||||
// TTL inherits from the section-level "Idle timeout" control —
|
||||
// there is no per-container override on the form. Read it at
|
||||
// submit time so a last-second change to the TTL row applies.
|
||||
const ttlMinutes =
|
||||
provider.openaiContainerTtlMinutes ?? DEFAULT_TTL_MINUTES;
|
||||
setCreating(true);
|
||||
try {
|
||||
const created = await createOpenAIContainer(
|
||||
{ apiKey, baseUrl: provider.baseUrl || null },
|
||||
{ name, ttlMinutes: createTtl },
|
||||
{ name, ttlMinutes },
|
||||
);
|
||||
toast.success(`Created container ${name}`);
|
||||
setCreateName("");
|
||||
setCreateOpen(false);
|
||||
// Optimistic insert + "Creating" pill. OpenAI's /v1/containers
|
||||
// list endpoint is eventually consistent and can omit the new
|
||||
// container for several seconds — without this, the row only
|
||||
// shows up on the next 30s poll or a manual refresh.
|
||||
setContainers((prev) =>
|
||||
prev.some((c) => c.id === created.id) ? prev : [created, ...prev],
|
||||
);
|
||||
setPendingIds((prev) => {
|
||||
if (prev.has(created.id)) return prev;
|
||||
const next = new Set(prev);
|
||||
next.add(created.id);
|
||||
return next;
|
||||
});
|
||||
// Follow-up refresh ~5s later to reconcile the optimistic row
|
||||
// with the server's view once /v1/containers catches up. One
|
||||
// shot; the regular poll covers any longer tail.
|
||||
if (pendingRetryRef.current != null) {
|
||||
window.clearTimeout(pendingRetryRef.current);
|
||||
}
|
||||
pendingRetryRef.current = window.setTimeout(() => {
|
||||
pendingRetryRef.current = null;
|
||||
void refresh();
|
||||
}, 5000);
|
||||
// Auto-bind the just-created container to the active thread.
|
||||
// ensureThreadRecord first so the bind lands even when the user
|
||||
// creates a container before sending the first message — without
|
||||
|
|
@ -389,12 +451,18 @@ export function OpenAICodeExecSection({
|
|||
<div className="flex flex-col gap-3 pt-1">
|
||||
{/* TTL */}
|
||||
<div className="flex items-center justify-between gap-3">
|
||||
<label
|
||||
htmlFor="openai-container-ttl"
|
||||
className="min-w-0 text-[13px] font-medium leading-[1.25] tracking-nav text-nav-fg"
|
||||
>
|
||||
New-container idle timeout (min, max 20)
|
||||
</label>
|
||||
<div className="flex min-w-0 items-center gap-1.5">
|
||||
<label
|
||||
htmlFor="openai-container-ttl"
|
||||
className="min-w-0 text-[13px] font-medium leading-[1.25] tracking-nav text-nav-fg"
|
||||
>
|
||||
Idle timeout
|
||||
</label>
|
||||
<InfoHint>
|
||||
Minutes a newly-created container stays alive between calls.
|
||||
OpenAI caps this at 20.
|
||||
</InfoHint>
|
||||
</div>
|
||||
<Input
|
||||
id="openai-container-ttl"
|
||||
type="number"
|
||||
|
|
@ -406,10 +474,9 @@ export function OpenAICodeExecSection({
|
|||
/>
|
||||
</div>
|
||||
|
||||
{/* Single container list. The previously-separate "Active for
|
||||
this thread" picker collapses into this list: clicking a row
|
||||
binds it to the active thread, and the ACTIVE pill marks
|
||||
which one. Avoids duplicating state across two controls. */}
|
||||
{/* Single container list. Clicking a row binds it to the active
|
||||
thread and the ACTIVE pill marks which one — no separate
|
||||
picker needed. */}
|
||||
<div className="flex flex-col gap-1.5">
|
||||
<div className="flex items-center justify-between gap-2">
|
||||
<span className="text-[11px] uppercase tracking-wider text-muted-foreground">
|
||||
|
|
@ -428,45 +495,20 @@ export function OpenAICodeExecSection({
|
|||
/>
|
||||
</Button>
|
||||
</div>
|
||||
{/* When no containers exist yet, render a disabled placeholder
|
||||
instead of the picker. The first one is created by the
|
||||
chat-adapter on first send (lazy-create) and will appear
|
||||
here after the next refresh. */}
|
||||
{sortedContainers.length === 0 ? (
|
||||
<div className="h-9 w-full rounded-md border border-primary/40 bg-background px-2 flex items-center text-sm text-muted-foreground">
|
||||
(none yet — will be created on first send)
|
||||
// Quiet placeholder with the same muted border as row cards
|
||||
// so an empty section doesn't masquerade as an active control.
|
||||
// The first container is minted by the chat-adapter on first
|
||||
// send (lazy-create) and appears here after the next refresh.
|
||||
<div className="flex h-9 w-full items-center rounded-md border border-dashed border-border/60 bg-muted/20 px-2 text-xs text-muted-foreground">
|
||||
None yet - one will be created on first send.
|
||||
</div>
|
||||
) : (
|
||||
<select
|
||||
value={displayedContainerId ?? sortedContainers[0].id}
|
||||
onChange={(e) => onPick(e.target.value)}
|
||||
disabled={!activeThreadId}
|
||||
className="h-9 w-full rounded-md border border-primary/40 bg-background px-2 text-sm font-medium shadow-sm focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-primary/40"
|
||||
>
|
||||
{sortedContainers.map((c) => (
|
||||
<option key={c.id} value={c.id}>
|
||||
{c.name ?? "(unnamed)"} · {c.id.slice(0, 14)}…
|
||||
{c.lastActiveAt ? ` · active ${ageLabel(c.lastActiveAt)}` : ""}
|
||||
</option>
|
||||
))}
|
||||
</select>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Container list with delete actions — labeled and visually
|
||||
quieter so it's clearly the "all containers, manage them"
|
||||
area rather than the active selector above. */}
|
||||
<div className="flex flex-col gap-1.5">
|
||||
<span className="text-[11px] uppercase tracking-wider text-muted-foreground">
|
||||
All containers
|
||||
</span>
|
||||
{isLoading && visibleContainers.length === 0 ? (
|
||||
<Skeleton className="h-16 w-full" />
|
||||
) : sortedContainers.length > 0 ? (
|
||||
<ul className="flex max-h-52 flex-col gap-1 overflow-auto">
|
||||
{sortedContainers.map((c) => {
|
||||
const running = isContainerRunning(c);
|
||||
const isActive = running && c.id === displayActiveId;
|
||||
const isPending = pendingIds.has(c.id);
|
||||
const ttlMinutes = c.expiresAfterMinutes ?? DEFAULT_TTL_MINUTES;
|
||||
const canActivate =
|
||||
activeThreadId != null && !isActive && running;
|
||||
|
|
@ -510,7 +552,11 @@ export function OpenAICodeExecSection({
|
|||
<span className="min-w-0 truncate font-medium">
|
||||
{c.name ?? "(unnamed)"}
|
||||
</span>
|
||||
{isActive ? (
|
||||
{isPending ? (
|
||||
<span className="shrink-0 rounded-sm bg-muted px-1 py-px text-[9px] font-medium uppercase tracking-wider text-muted-foreground">
|
||||
Creating
|
||||
</span>
|
||||
) : isActive ? (
|
||||
<span className="shrink-0 rounded-sm bg-primary/15 px-1 py-px text-[9px] font-medium uppercase tracking-wider text-primary">
|
||||
Active
|
||||
</span>
|
||||
|
|
@ -548,69 +594,61 @@ export function OpenAICodeExecSection({
|
|||
);
|
||||
})}
|
||||
</ul>
|
||||
) : (
|
||||
<p className="text-xs text-muted-foreground">
|
||||
None yet — one will be created on first send.
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* Create new */}
|
||||
{/* Create new — inline single-row edit that visually echoes a
|
||||
container card. TTL is inherited from the section's top
|
||||
"Idle timeout" control (no per-container override), which
|
||||
keeps the form light and avoids a duplicated input. */}
|
||||
{createOpen ? (
|
||||
<div className="flex flex-col gap-2 rounded-md border border-border/60 p-2">
|
||||
<div className="flex items-center gap-1 rounded-md border border-border/60 bg-muted/20 px-1.5 py-1">
|
||||
<Input
|
||||
placeholder="Container name (e.g. data-analysis)"
|
||||
autoFocus
|
||||
placeholder="Name"
|
||||
value={createName}
|
||||
onChange={(e) => setCreateName(e.target.value)}
|
||||
className="h-8 text-sm"
|
||||
/>
|
||||
<div className="flex items-center gap-2">
|
||||
<Input
|
||||
type="number"
|
||||
min={TTL_MIN}
|
||||
max={TTL_MAX}
|
||||
value={createTtl}
|
||||
onChange={(e) => {
|
||||
const n = parseInt(e.target.value, 10);
|
||||
if (!Number.isNaN(n))
|
||||
setCreateTtl(Math.min(Math.max(n, TTL_MIN), TTL_MAX));
|
||||
}}
|
||||
className="h-8 w-24 text-sm"
|
||||
aria-label="Idle timeout in minutes"
|
||||
/>
|
||||
<span className="text-xs text-muted-foreground">min idle</span>
|
||||
<div className="flex-1" />
|
||||
<Button
|
||||
size="sm"
|
||||
variant="ghost"
|
||||
className="h-7"
|
||||
onClick={() => {
|
||||
onKeyDown={(e) => {
|
||||
if (e.key === "Enter") {
|
||||
e.preventDefault();
|
||||
if (createName.trim() && !creating && apiKey) {
|
||||
void onCreate();
|
||||
}
|
||||
} else if (e.key === "Escape") {
|
||||
e.preventDefault();
|
||||
setCreateOpen(false);
|
||||
setCreateName("");
|
||||
}}
|
||||
disabled={creating}
|
||||
>
|
||||
Cancel
|
||||
</Button>
|
||||
<Button
|
||||
size="sm"
|
||||
className="h-7"
|
||||
onClick={() => void onCreate()}
|
||||
disabled={creating || !createName.trim() || !apiKey}
|
||||
>
|
||||
Create
|
||||
</Button>
|
||||
</div>
|
||||
}
|
||||
}}
|
||||
className="h-7 min-w-0 flex-1 border-0 bg-transparent px-1.5 text-xs shadow-none focus-visible:ring-0"
|
||||
/>
|
||||
<Button
|
||||
size="sm"
|
||||
variant="ghost"
|
||||
className="h-7 shrink-0 px-2 text-xs"
|
||||
onClick={() => {
|
||||
setCreateOpen(false);
|
||||
setCreateName("");
|
||||
}}
|
||||
disabled={creating}
|
||||
>
|
||||
Cancel
|
||||
</Button>
|
||||
<Button
|
||||
size="sm"
|
||||
className="h-7 shrink-0 px-3 text-xs"
|
||||
onClick={() => void onCreate()}
|
||||
disabled={creating || !createName.trim() || !apiKey}
|
||||
>
|
||||
{creating ? "Creating…" : "Create"}
|
||||
</Button>
|
||||
</div>
|
||||
) : (
|
||||
<Button
|
||||
size="sm"
|
||||
variant="outline"
|
||||
className="h-8"
|
||||
onClick={() => {
|
||||
setCreateTtl(ttlValue);
|
||||
setCreateOpen(true);
|
||||
}}
|
||||
onClick={() => setCreateOpen(true)}
|
||||
disabled={!apiKey}
|
||||
>
|
||||
<PlusIcon className="size-3.5 mr-1" />
|
||||
|
|
|
|||
1628
tests/studio/test_frontend_dep_removal.py
Normal file
1628
tests/studio/test_frontend_dep_removal.py
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -1289,53 +1289,61 @@ def patch_torchcodec_audio_decoder():
|
|||
|
||||
|
||||
def disable_torchcodec_if_broken():
|
||||
"""Disable torchcodec in transformers if it cannot actually load.
|
||||
"""Make broken torchcodec behave as if uninstalled (#5446).
|
||||
|
||||
transformers checks if torchcodec is installed via importlib.util.find_spec(),
|
||||
but this returns True even when torchcodec cannot load its native libraries
|
||||
(e.g., when FFmpeg is missing). This causes runtime errors when transformers
|
||||
tries to use torchcodec for audio loading.
|
||||
|
||||
This function tests if torchcodec can actually load and if not, patches
|
||||
transformers to think torchcodec is unavailable so it falls back to librosa.
|
||||
|
||||
Two shapes to cover:
|
||||
* transformers < 5: a module-level ``_torchcodec_available`` flag
|
||||
cached in ``transformers.utils.import_utils``; flip it to False.
|
||||
* transformers >= 5: a public ``is_torchcodec_available()`` callable
|
||||
wrapped with ``functools.lru_cache``; replace it with a stub that
|
||||
returns False and clear the cache so subsequent callers see it.
|
||||
transformers and datasets both detect torchcodec via find_spec, which
|
||||
returns True even when the native libs cannot dlopen. We flip their
|
||||
flags and seat a sys.modules sentinel so downstream imports fall through
|
||||
their existing except ImportError handlers cleanly.
|
||||
"""
|
||||
try:
|
||||
import importlib.util
|
||||
|
||||
if importlib.util.find_spec("torchcodec") is None:
|
||||
return # torchcodec not installed, nothing to do
|
||||
return # absent or already disabled
|
||||
|
||||
# Test if torchcodec can actually load
|
||||
# RuntimeError on dlopen failure; OSError covers chained libavutil.so misses.
|
||||
from torchcodec.decoders import AudioDecoder
|
||||
except (ImportError, RuntimeError, OSError):
|
||||
# torchcodec cannot load - disable it in transformers
|
||||
# transformers: flip flag (<5) and/or rebind lru_cache'd func (>=5).
|
||||
try:
|
||||
import transformers.utils.import_utils as tf_import_utils
|
||||
except ImportError:
|
||||
return
|
||||
|
||||
# transformers < 5 path: module-level cached flag.
|
||||
try:
|
||||
tf_import_utils._torchcodec_available = False
|
||||
except AttributeError:
|
||||
pass
|
||||
|
||||
# transformers >= 5 path: public lru_cache'd function. Clear any
|
||||
# cached True result then rebind to a stub that returns False.
|
||||
is_avail = getattr(tf_import_utils, "is_torchcodec_available", None)
|
||||
if is_avail is not None:
|
||||
try:
|
||||
is_avail.cache_clear()
|
||||
tf_import_utils._torchcodec_available = False
|
||||
except AttributeError:
|
||||
pass
|
||||
tf_import_utils.is_torchcodec_available = lambda: False
|
||||
|
||||
is_avail = getattr(tf_import_utils, "is_torchcodec_available", None)
|
||||
if is_avail is not None:
|
||||
try:
|
||||
is_avail.cache_clear()
|
||||
except AttributeError:
|
||||
pass
|
||||
tf_import_utils.is_torchcodec_available = lambda: False
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
# datasets >= 4.0: own flag gating audio/video/features/formatters.
|
||||
try:
|
||||
import datasets.config as datasets_config
|
||||
|
||||
if hasattr(datasets_config, "TORCHCODEC_AVAILABLE"):
|
||||
datasets_config.TORCHCODEC_AVAILABLE = False
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
# Drop half-loaded entries and seat the absence sentinel. After this,
|
||||
# import torchcodec raises ModuleNotFoundError and find_spec returns None.
|
||||
for _stale in [
|
||||
n
|
||||
for n in list(sys.modules)
|
||||
if n == "torchcodec"
|
||||
or n.startswith("torchcodec.")
|
||||
or n == "datasets.features._torchcodec"
|
||||
]:
|
||||
sys.modules.pop(_stale, None)
|
||||
sys.modules["torchcodec"] = None
|
||||
|
||||
|
||||
def disable_broken_wandb():
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue